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Acta pharmaceutica Sinica. B · 2026

The progress and perspective of nanomedicine in modulating the tumor immune microenvironment.

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Lin N, Tan K, Wei Y, Xie S, Liu J, Ma X

Аннотация

The widespread application of nanomedicine in oncology is reshaping cancer treatment paradigms. Using the precise targeting mechanisms and the rapid advancements in nanoscale materials, nanomedicine is driving progress in cancer therapy, particularly within the complex landscape of the tumor immune microenvironment (TIM). This review provides a comprehensive overview of recent studies elucidating the critical role of nanomedicine in modulating the TIM, augmenting the efficacy of immunotherapies, and overcoming therapeutic resistance. Emphasis is placed on the significance of targeted drug delivery systems, innovative nanoscale vaccines, and strategies for reprogramming immunosuppressive cells. Furthermore, the review explores the clinical applicability and prospects of personalized nanomedicine, highlighting its increasingly prominent role in tailored cancer therapeutics.

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https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Introduction

The tumor immune microenvironment (TIM) is a multifaceted and dynamic ecosystem in which neoplastic cells interact with immune cells, the extracellular matrix (ECM), and various signaling molecules. In contrast to the normal immune microenvironment, which is tasked with maintaining immune surveillance and eliminating abnormal cells, the TIM is characterized by its immunosuppressive properties, chronic inflammatory nature, and distinctive tumor metabolic features. This complex environment significantly influences cancer progression, metastasis, and response to therapy. The TIM acts as both a physical barrier to immune cell infiltration and as an active contributor to the suppression of anti-tumor immunity through the secretion of immunosuppressive cytokines and the recruitment of regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs) 1 , 2 . A profound understanding of the TIM's intricacies is essential for developing effective cancer combat strategies.

Nanomedicine is a broad field that leverages nanotechnology to prevent, monitor, and intervene in diseases through new modes of imaging, diagnosing, treating, repairing, and regenerating biological systems. The scope of nanomedicine is not limited to nanoparticles; it also encompasses nanorobots and a variety of nanoscale tools, such as liposomes, polymer micelles, and other targeted delivery systems. Engineered nanomedicine can penetrate the dense extracellular matrix (ECM) of tumors, deliver immunomodulatory agents directly to the tumor site, and counteract the immunosuppressive characteristics of the TIM 3 . The ability of nanomedicine to enhance the efficacy of immunotherapies by normalizing vasculature and improving immune cell penetration into the tumor is a subject of intense research 4 . The advantages of nanomedicine in TIM therapy are multifaceted. For instance, nanosized particles are more effectively uptaken by antigen-presenting cells (APCs), which is crucial for activating the immune response 5 . Additionally, the targeted delivery of chemotherapeutic agents using nanocarriers can reduce systemic toxicity while increasing local drug concentration, thus enhancing the therapeutic index of cancer treatment. Moreover, the use of multifunctional bio-nanostructures in cancer therapy has been a focus of extensive research, with these structures showing promise in drug targeting, controllable drug release, and efficient transport within the complex tumor microenvironment 6 .

This review aims to comprehensively outline the current progress and prospects of nanomedicine in modulating the TIM. We will discuss various nanomedicine-based strategies being explored to enhance the effectiveness of cancer immunotherapy. Additionally, we will highlight the challenges associated with nanomedicine development, such as the need for improved targeting, reduced off-target effects, and the optimization of nanomedicine design for enhanced biocompatibility and biodegradability. Furthermore, we will explore the clinical implications of these strategies and the potential for personalized nanomedicine in light of the heterogeneous nature of the TIM. By contrasting the frontiers and differences between basic scientific research and clinical applications, we hope to provide insights into the next steps in the development of nanomaterials for the tumor immune microenvironment.

Overview of the tumor immune microenvironment

The TIM is a complex and enigmatic arena where immune cells, cancer cells, and non-hematopoietic stromal cells engage in a continuous interplay that influences tumor progression and response to therapy 7 , 8 . The TIM encompasses immune cells including T cells, B cells, macrophages, and dendritic cells, along with non-immunological components such as fibroblasts, endothelial cells, and the ECM 9 . Tumor-infiltrating lymphocytes (TILs) are immune cells that have migrated from the bloodstream into the tumor microenvironment (TME) ( Fig. 1 ). TILs play a crucial role in the immune response against tumors and can exert both beneficial and detrimental effects on tumor growth and progression. The presence and composition of TILs within tumors have been associated with clinical outcomes in cancer patients. Elevated levels of TILs, especially cytotoxic CD8 + T cells, have been linked to improved prognosis and enhanced response to immunotherapy in specific cancer types. Conversely, tumors with low TIL levels or an immunosuppressive microenvironment may evade immune surveillance and develop resistance to treatment. Figure 1 Immune Modulation in Tumor Microenvironment. Natural killer (NK) cells and CD8 + T cells play a crucial role in immune activation and cytotoxic attack on tumor cells, producing pro-inflammatory cytokines such as interferon-gamma (IFN- γ ) and activating antigen-specific T-cell responses. Dendritic cells (DC) and M1 tumor-associated macrophages (M1 TAM) contribute to immune activation through the production of cytokines and cytotoxic molecules like perforin and granzyme. Myeloid-derived suppressor cells (MDSC) and M2 tumor-associated macrophages (M2 TAM) are associated with immune suppression, secreting immunosuppressive cytokines like IL-10 and TGF- β , which block the expansion of cytotoxic T lymphocytes (CTLs) and NK cells. They also stimulate angiogenesis and tissue remodeling, promoting a pro-tumor effect. Regulatory T cells (Treg) and cancer-associated fibroblasts (CAF) further contribute to immune suppression through multiple mechanisms, including control of inflammatory conditions, suppression of CTL activation and expansion, metabolic disruption, tissue remodeling and angiogenesis, which are essential for tumor growth and progression. Figure 1

Figure 1 Immune Modulation in Tumor Microenvironment. Natural killer (NK) cells and CD8 + T cells play a crucial role in immune activation and cytotoxic attack on tumor cells, pro…
Figure 1 Immune Modulation in Tumor Microenvironment. Natural killer (NK) cells and CD8 + T cells play a crucial role in immune activation and cytotoxic attack on tumor cells, producing pro-inflammatory cytokines such as interferon-gamma (IFN- γ ) and activating antigen-specific T-cell responses. Dendritic cells (DC) and M1 tumor-associated macrophages (M1 TAM) contribute to immune activation through the production of cytokines and cytotoxic molecules like perforin and granzyme. Myeloid-derived suppressor cells (MDSC) and M2 tumor-associated macrophages (M2 TAM) are associated with immune suppression, secreting immunosuppressive cytokines like IL-10 and TGF- β , which block the expansion of cytotoxic T lymphocytes (CTLs) and NK cells. They also stimulate angiogenesis and tissue remodeling, promoting a pro-tumor effect. Regulatory T cells (Treg) and cancer-associated fibroblasts (CAF) further contribute to immune suppression through multiple mechanisms, including control of inflammatory conditions, suppression of CTL activation and expansion, metabolic disruption, tissue remodeling and angiogenesis, which are essential for tumor growth and progression. Figure 1

T cells in the TIM

T cells play a crucial role in mounting immune responses against tumors. T cells can be broadly classified based on their T cell receptor (TCR) subunits and the expression of core lineage markers such as CD8 and CD4 10 . The αβ TCR complex, present in CD8 and CD4 T cells, allows recognition of peptides presented on the cell surface in the context of major histocompatibility complex (MHC) class I or class II, respectively. On the other hand, γδ T cells, characterized by the γδ TCR subunit, function independently of MHC classes I and II. In tumor tissues, CD8 + and CD4 + TCR αβ T cells are the most abundant T cell subsets.

CD8 + T cells, also known as cytotoxic T lymphocytes (CTL), are primarily responsible for recognizing and destroying tumor cells 11 . They recognize specific antigens presented on major histocompatibility complex class I (MHC-I) molecules expressed on the surface of cancer cells. Upon activation, CD8 + T cells undergo clonal expansion, generating a large population of effector CD8 + T cells capable of directly eliminating tumor cells 12 . They achieve this through the release of cytotoxic molecules, such as perforin and granzymes, which induce apoptosis (programmed cell death) in the target cells. CD8 + T cells also produce and release cytokines, such as interferon-gamma (IFN- γ ) and tumor necrosis factor-alpha (TNF- α ) 13 , 14 . IFN- γ activates other immune cells and enhances immune surveillance, contributing to the antitumor immune response, while TNF- α induces tumor cell apoptosis and stimulates immune cell activity to clear tumor cells. However, in the TIM, CD8 + T cells can also encounter immune inhibitory signals that dampen their function. Tumor cells often exploit immune checkpoint pathways, such as programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), to evade immune destruction 15 . Interaction of these inhibitory receptors with their ligands on tumor cells leads to T cell exhaustion, a state of functional impairment characterized by reduced cytokine production and cytotoxic activity. Immunotherapies targeting immune checkpoint molecules, known as immune checkpoint blockade (ICB), have been developed to block the inhibitory signals and restore the activity of CD8 + T cells, leading to enhanced tumor cell killing 16 .

CD4 + T cells, or helper T cells, express the CD4 co-receptor on their cell surface and play crucial roles in coordinating and regulating immune responses 17 . They differentiate into various subsets based on their cytokine profiles and transcription factors, including Th1, Th2, Th17, Tregs, and follicular helper T cells (Tfh) 18 . Th1 cells produce cytokines such as IFN- γ and TNF- α , which promote cellular immune responses and enhance the activity of cytotoxic CD8 + T cells and macrophages 19 . Th2 cells produce cytokines such as interleukin (IL)-4, IL-5, and IL-13, which are involved in promoting humoral immune responses. While Th2 responses are typically associated with allergic and parasitic diseases, they can also play a role in certain tumor contexts 20 . Th17 cells produce cytokines such as IL-17 and IL-22 and are implicated in inflammation and tissue remodeling 21 . In the TIM, Th17 cells can have both pro- and antitumor effects. Tfh cells are specialized CD4 + T cells that provide help to B cells in generating antibody responses 22 . Within the TIM, Tfh cells can contribute to the formation of tertiary lymphoid structures (TLSs), which are organized lymphoid-like structures observed in some tumors. TLSs can facilitate immune cell interactions and promote antitumor immune responses 23 .

B cells in the TIM

B cells are a critical component of the adaptive immune system. Within the TIM, tumor-infiltrating B cells (TIL-Bs) display significant heterogeneity and can exert both pro-tumorigenic and anti-tumorigenic effects. TIL-Bs directly influence the anti-tumor immune response through antibody production, antigen presentation, and interaction with other immune cells. TIL-Bs display characteristic features of an active immune response, including antigen recognition, clonal expansion, phenotypic differentiation, and the production of somatically hypermutated, class-switched antibodies with anti-tumor properties 24 .

Firstly, B cells exhibit anti-tumor effects. B cells can recognize tumor-specific antigens and generate antibodies that can bind to and neutralize tumor cells. These antibodies can directly eliminate tumor cells, induce complement-mediated cytotoxicity, or stimulate other immune cells to participate in antibody-dependent cellular cytotoxicity (ADCC). Moreover, B cells can function as APCs within tumors 25 . B cells can process and present antigenic peptides to CD4 + T cells through the MHC class II pathway 26 , and also cross-present peptide-MHC I complexes to activate CD8 + T cells 27 . Notably, B cells utilize their surface immunoglobulin to efficiently capture and internalize cognate antigens, allowing them to present low-abundance antigens to T cells more effectively compared to dendritic cells or macrophages 28 , 29 . TLSs, also known as ectopic lymphoid organs, are commonly found in the peritumoral stromal regions of highly immunogenic tumors 30 .

Conversely, B cells can also demonstrate protumor functions within the tumor immune microenvironment. Specific subsets of B cells, termed regulatory B cells (Bregs), possess immunosuppressive properties 31 . Bregs secrete immunosuppressive cytokines such as IL-10, IL-35, and transforming growth factor beta (TGF- β ), or release metabolites such as gamma-aminobutyric acid (GABA), which suppress antitumor immune responses and foster immune tolerance 32 , 33 , 34 . Additionally, tumor cells can exploit B cells and antibodies to evade immune surveillance. They can express molecules that bind to the Fc portion of antibodies, preventing their effector functions and neutralization of tumor cells. This mechanism is known as antibody-mediated immune evasion. Additionally, B cells can produce growth factors that promote tumor growth, angiogenesis, and metastasis.

Nature killer (NK) cells

Natural killer (NK) cells are a critical component of the innate immune system, known for their ability to identify and eliminate tumor cells and infected cells without prior sensitization. They achieve this through a balance of signals received from activating and inhibitory receptors, which allows them to discriminate between healthy and stressed or transformed cells 35 .

Natural killer (NK) cells are equipped with a variety of activating and inhibitory receptors that play a pivotal role in identifying and eliminating target cells. Activating receptors such as NKG2D, DNAM-1, and NCRs (NKp30, NKp44, NKp46) are crucial for the recognition of target cells, while inhibitory receptors like KIRs and NKG2A interact with MHC class I molecules, maintaining self-tolerance and preventing the NK cells from attacking healthy cells 36 .

The activating receptor NKG2D, for instance, is alerted to the presence of cancer cells by the upregulation of its ligands ULBP1 and ULBP2, which is often associated with cellular stress and malignancy. DNAM-1, another activating receptor, is implicated in the NK cell-mediated response against certain tumors and viral infections. Meanwhile, the NCRs, including NKp30, NKp44, and NKp46, contribute to the immediate cytotoxic response against target cells that lack or have downregulated MHC class I molecules, which is a common mechanism of immune evasion in virally infected and malignant cells 37 .

On the other hand, inhibitory receptors are equally important for a balanced immune response. Killer cell immunoglobulin-like receptors (KIRs) are one such family of receptors that bind to MHC class I molecules on cells, sending inhibitory signals to prevent the lysis of healthy self-cells. The NKG2A receptor, part of the natural killer group 2 complex, also plays a role in inhibiting NK cell activation, thus helping to avoid overzealous immune responses against the body's tissues 38 , 39 .

The balance between these activating and inhibitory signals is critical for the proper functioning of NK cells. When the activating signals outweigh the inhibitory signals, NK cells become activated and initiate their cytotoxic functions, leading to the release of cytotoxic granules containing perforin and granzymes, which induce apoptosis in target cells. Moreover, NK cells can also mediate antibody-dependent cellular cytotoxicity (ADCC) through their Fc receptors, such as CD16, which bind to the Fc portion of antibodies that are attached to target cells 40 .

Tumor-associated macrophages (TAMs)

Macrophages originate from myeloid progenitor cells in the bone marrow and monocytes circulating in the blood. These precursor cells migrate into tissues and differentiate into mature macrophages. Notably, specialized macrophage populations in tissues such as the lungs and liver originate from embryonic progenitors 41 , 42 , 43 . TAMs, which infiltrate tumor tissues or reside within the solid tumor microenvironment 44 , play a central role in establishing an immunosuppressive TME.

TAMs can be broadly categorized as M1 and M2 macrophages based on their polarized phenotypes and distinct functional roles 45 . M1 TAMs exhibit anti-tumor properties, promoting inflammation and cytotoxicity by secreting pro-inflammatory cytokines like IL-12, IL-1 β , IL-6, IL-23, CXCL-10, IFN- γ , and tumor necrosis factor (TNF- α ), and generating nitric oxide (NO) and reactive oxygen species (ROS) 46 . Conversely, M2 TAMs secrete immunosuppressive cytokines such as IL-13, IL-4, and IL-10, transforming growth factor (TGF- β ), and matrix metalloproteinases (MMPs) including MMP-2 and MMP-9, as well as growth factors like vascular endothelial growth factor (VEGF). They also express arginase-1, mannose receptor, and scavenger receptors, which contribute to their pro-tumorigenic properties and immunosuppressive role 47 , 48 , 49 .

The recruitment and polarization of macrophages are regulated by intricate biological networks. Colony-stimulating factor-1 (CSF-1), C-C motif ligand 2 (CCL2), VEGF-A, and EGFR are well-studied factors that promote macrophage recruitment and polarization towards the M2 phenotype 50 , 51 , 52 . Additionally, monocytes are recruited into tumor tissues under the influence of various cytokines, chemokines, and growth factors such as CCL7, CCL8, CCL3, CCL4, granulocyte-macrophage CSF (GM-CSF), macrophage-stimulating protein (MSP), platelet-derived growth factor (PDGF), and TGF- β 1. They may then differentiate into immunosuppressive M2 TAMs in response to IL-4, IL-10, and IL-13 8 , 53 .

Furthermore, TAMs can accumulate in tumor tissues through the influence of hypoxia-induced factors and metabolites, including CCL2, CCL5, CSF-1, VEGF, semaphorin 3A, endothelial cell monocyte-activating polypeptide-II, endothelin, stromal cell-derived factor 1, eotaxin, oncostatin M, lactate, and angiopoietin-2 54 . It is noteworthy that various epigenetic regulators have been implicated in the accumulation, recruitment, and polarization of macrophages. For instance, protein arginine methyltransferase 1, SET and MYND domain-containing protein 3, Jumonji domain-containing protein 3, NAD-dependent protein deacetylase sirtuin-2, and bromodomain and extraterminal proteins positively regulate M2 polarization by upregulating M2 markers. In contrast, DNA methyltransferase 3B, Jumonji domain-containing protein 1A, histone deacetylase 3 (HDAC3), and HDAC 9 exert opposing effects 55 , 56 .

MDSCs

MDSCs represent a diverse group of innate immune cells that are activated under pathological conditions and are known for their robust immunosuppressive capabilities 57 . MDSCs are categorized into granulocytes/polymorphonuclear cells (G-MDSCs or PMN-MDSCs) and monocytes (M-MDSCs) 58 . They are rapidly elevated in the TIM during tumorigenesis 59 . MDSCs exert their immunosuppressive effects through multiple mechanisms, such as inhibiting T cell activation and proliferation, suppressing NK cell activity, promoting the development of regulatory T cells (Tregs), and dampening the functions of anti-tumor cells.

MDSCs can produce suppressive cytokines like TGF- β , IL-10, and immunosuppressive enzymes including arginase-1 (ARG1), ROS, iNOS, and PGE2 60 . They also express inhibitory cell surface molecules such as programmed death-ligand 1 (PD-L1). These inhibitory molecules and factors can disrupt the activation and proliferation of T cells and NK cells, enhance the proliferation of circulating tumor cells, promote epithelial-mesenchymal transition (EMT), and induce the expression of matrix metalloproteinases (MMPs) like MMP8 and MMP9, thereby fostering a pro-metastatic microenvironment 61 , 62 .

Furthermore, MDSCs can inhibit the activity of NK cells by producing suppressive cytokines and interacting with NK cells through cell surface molecules such as NKG2D ligands, thus impairing the killing function of NK cells 63 . MDSCs also promote the development of Tregs through the production of cytokines and interaction with molecules such as CTLA-4 and indoleamine 2,3-dioxygenase (IDO) 64 . Lastly, MDSCs can produce suppressive molecules such as acid proteases and oxidases, which directly inhibit the proliferation and function of anti-tumor cells.

Tregs

Tregs, a specialized subset of T cells, are defined by the expression of the transcription factor FoxP3 and the cell surface marker CD25. These cells are instrumental in preserving immune homeostasis and curbing excessive immune reactions. Tregs can be differentiated into several subpopulations, including non-activated Tregs, effector Tregs, and resting Tregs, which exhibit varying degrees of immunosuppressive capacity 65 . Within the TME, effector Tregs predominate, marked by heightened expression of surface markers such as CTLA-4, PD-1, OX40, and chemokine receptors. These markers facilitate tumor immune evasion 66 . The presence of Tregs within tumors correlates with adverse outcomes, including accelerated tumor growth, metastasis, and diminished responsiveness to immunotherapy. Tumor cells and the TME can enhance the recruitment and proliferation of Tregs by secreting chemokines and other immunosuppressive factors.

Tregs perform their immunosuppressive role through multiple mechanisms. A pivotal mechanism is the secretion of immunosuppressive cytokines, including IL-10, IL-35 (Ebi3–IL-12 α heterodimer), and TGF- β . These cytokines attenuate the activation and effector functions of other immune cells, such as cytotoxic CD8 + T cells, NK cells, and APCs 67 . Additionally, Tregs can suppress the function of other immune cells through direct cell-to-cell contact. They express molecules like CTLA-4 and lymphocyte activation gene 3 (LAG-3), which engage with co-stimulatory molecules on target cells, inhibiting their activation and function 68 , 69 , 70 , 71 . Moreover, the inhibitory receptors PD-1 and T cell immunoglobulin and ITIM domain (TIGIT) on Tregs can interact with their ligands on effector T cells, resulting in the functional impairment of these cells 72 . Tregs can also induce the expression of IDO in dendritic cells, converting tryptophan into kynurenine, which inhibits T cell proliferation and promoting apoptosis 71 , 73 . Furthermore, Tregs can directly induce apoptosis in effector T cells via the granzyme B/perforin pathway. However, it is essential to recognize that the role of Tregs in cancer is multifaceted and context-dependent. While Tregs are generally linked to immunosuppression and tumor-promoting effects, some subsets of Tregs may exhibit antitumor properties or display functions that vary with context.

Mechanisms of nanomedicine in modulating the TME

Nanoparticles, particles with dimensions typically ranging from 1 to 100 nm, can be fabricated from a variety of materials, including metals ( e.g. , gold, silver, copper, iron), polymers ( e.g. , poly(lactic- co -glycolic acid) (PLGA), polyethylene glycol (PEG), polystyrene (PS), poly(methyl methacrylate) (PMMA)), lipids, inorganic materials ( e.g. , silica (SiO 2 ), titanium dioxide (TiO 2 ), iron oxide (Fe 3 O 4 )), and composite materials 74 . The nanoscale dimensions endow these particles with distinctive physical, chemical, and biological properties that distinguish them from their bulk forms. Consequently, nanoparticles are a prevalent tool or constituent in nanomedicine. They can be tailored and functionalized to ensure targeted delivery, controlled release, and protection of drugs 75 . In general, the role of nanomedicine in TIM is not independent ( Fig. 2 ). Instead, various cells in the immune microenvironment can be influenced by the interaction of various factors. In the following, we will introduce the interaction of nanoparticles on immune cells with specific cell examples. Figure 2 Nanoparticle-mediated tumor immunotherapy. Nanoparticles are engineered to enhance immune cell expansion and deliver therapeutic agents to tumors. They actively target cancer cells, cross the blood–brain barrier, and facilitate gene delivery. These particles promote T cell proliferation and activation, overcome immune checkpoint inhibition, and exhibit smart behavior in response to tumor microenvironments. They also engage dendritic and NK cells, induce memory T cell formation, and respond to tumor fragments to amplify the immune response. This multi-pronged approach leverages nanoparticles to effectively combat tumors through a combination of direct cytotoxicity and immune system engagement. Figure 2

Figure 2 Nanoparticle-mediated tumor immunotherapy. Nanoparticles are engineered to enhance immune cell expansion and deliver therapeutic agents to tumors. They actively target ca…
Figure 2 Nanoparticle-mediated tumor immunotherapy. Nanoparticles are engineered to enhance immune cell expansion and deliver therapeutic agents to tumors. They actively target cancer cells, cross the blood–brain barrier, and facilitate gene delivery. These particles promote T cell proliferation and activation, overcome immune checkpoint inhibition, and exhibit smart behavior in response to tumor microenvironments. They also engage dendritic and NK cells, induce memory T cell formation, and respond to tumor fragments to amplify the immune response. This multi-pronged approach leverages nanoparticles to effectively combat tumors through a combination of direct cytotoxicity and immune system engagement. Figure 2

Interaction with T cells

Nanomedicine exhibits substantial potential in modulating the interactions between tumors and T cells, which are integral to the TME. Various mechanisms through which nanomedicine can influence T cell function and activity have been investigated. Nanomedicine can be precisely engineered to deliver immunomodulatory agents, such as checkpoint inhibitors, cytokines, or T cell costimulatory receptor agonists, directly to the TME. This targeted delivery strategy increases the local concentration of these agents while reducing systemic toxicity. For instance, the use of nanomedicine loaded with anti-PD-1 antibodies has been demonstrated to enhance antitumor T cell responses when compared to systemic administration of the antibodies alone 76 . Nanomedicine encapsulating IL-2 has also shown increased T cell activation and proliferation within the TME 77 . Nanomedicine can also be utilized to activate and expand tumor-specific T cells directly. Nanomedicine that is coated with tumor antigens and T cell stimulatory molecules, such as anti-CD3 and anti-CD28 antibodies, have been effective in expanding functional, tumor-reactive T cells ex vivo for adoptive cell therapy 78 . Furthermore, nanomedicine that delivers agents stimulating antigen-presenting cells, like toll-like receptor agonists, can boost the priming and expansion of tumor-specific T cells within the TME 79 .

Nanomedicine also has the capacity to modulate intracellular signaling pathways that govern T-cell function. Nanomedicine encapsulating small molecule inhibitors or small interfering RNA (siRNA) aimed at key signaling nodes, including the PI3K/Akt pathway or the STAT family of transcription factors, have shown promise in enhancing T cell effector functions and potentially reversing T cell exhaustion in the TME 80 . Additionally, nanomaterials can act as tools for in vivo monitoring and imaging of T cell responses within the TME. Nanomedicine conjugated with fluorescent or radiolabeled probes have been employed to track T cell trafficking, infiltration, and activation status in both preclinical and clinical studies 81 . This capability can provide valuable insights into the dynamic interactions between T cells and the TME, and guide the optimization of nanomedicine-based immunotherapies.

Interaction with B cells

The strategic engineering of nanomedicine allows for the selective delivery of immunomodulatory agents to tumor-infiltrating B cells. For instance, nanomedicine that is loaded with siRNA directed against the transcription factor Blimp-1, a pivotal regulator in plasma cell differentiation, has been demonstrated to suppress the immunosuppressive functions of tumor-associated plasma cells 79 . Furthermore, the encapsulation of CD40 receptor agonists within nanomedicine has been utilized to augment the antigen-presenting and tumoricidal activities of tumor-infiltrating B cells 82 . Nanomedicine can also induce tumor-specific antibody responses; nanomedicine displaying tumor-associated antigens has effectively primed and activated antigen-specific B cells, culminating in the generation of antibodies that target tumors 81 . These antibodies are capable of mediating ADCC or complement-dependent cytotoxicity against tumor cells within the TME 83 . Mirroring the tactics applied to T cells, nanomedicine can modulate the intracellular signaling pathways that govern B cell function. For example, nanomedicine encapsulating inhibitors of the PI3K/Akt pathway have been shown to boost antitumor antibody production by tumor-infiltrating B cells 80 . Additionally, the delivery of siRNA targeting the transcription factor BCL-6 via nanomedicine can foster the differentiation of tumor-infiltrating B cells into plasma cells, thereby amplifying the production of tumor-specific antibodies 84 .

Interaction with NK cells

NK cells are a critical component of the immune system that can identify and eliminate cancer cells. The interaction of NK cells with nanomedicine has emerged as a promising strategy for cancer immunotherapy. Cationic nanoparticles (cNPs), for instance, have been shown to activate NK cells, enhancing their cytotoxic activity against triple-negative breast cancer cells both in vitro and in vivo . This activation was achieved without the need for genetic engineering or cytokine treatment, presenting a significant advantage over conventional methods. The cNPs altered the expression of chemokine receptors CCR4 and CXCR4 on NK cells, which are crucial for their migration towards tumor sites. Furthermore, cNP-treated NK cells could be effectively tracked in vivo using magnetic resonance imaging, highlighting the potential of this approach in monitoring the therapeutic efficacy of NK cell-based cancer immunotherapy 85 .

In addition to activation, nanomedicine can be engineered to enhance the chemotropism of NK cells, improving their migration toward tumor sites. This can be achieved by overexpressing chemokine receptors such as CXCR2 on NK cells, which has been shown to promote infiltration into lung metastases in vivo . The use of CRISPR/Cas9 technology to upregulate the expression of chemokine receptors like CXCR2 and IL-2 on NK cells has also proven effective in enhancing migration to tumor sites and improving cell killing in preclinical colon cancer models 86 .

Innovative approaches, such as the development of chimeric antigen receptors (CARs) for NK cells, have opened new avenues for the precise targeting of tumor cells. These CAR-NK cells, armed with receptors that recognize specific tumor-associated antigens, have shown remarkable potential in eliminating cancer cells both in vitro and in vivo . Furthermore, the incorporation of NK cell receptor domains into CAR constructs has been explored to improve NK cell activation and cytotoxicity 87 , 88 .

Interaction with TAMs

TAMs are instrumental in fostering an immunosuppressive microenvironment. Nanomedicine has been engineered to selectively deplete TAMs, curb their recruitment, activate macrophage-mediated phagocytosis of tumor cells, and reprogram their phenotype from the immunosuppressive M2-like to the pro-inflammatory M1-like. Such interventions can attenuate the supportive role of TAMs in tumor growth and metastasis. For instance, clodronate-loaded liposomes can selectively deplete macrophages, including TAMs, by inducing apoptosis 89 . This strategy has been demonstrated to reduce tumor growth across various cancer models. Nanomedicine that targets the CD47–SIRP α interaction can augment macrophage-mediated phagocytosis of tumor cells. Given that CD47 is frequently overexpressed on cancer cells, acting as a "don't eat me" signal, blocking this pathway with nanomedicine can facilitate the clearance of tumor cells by TAMs 90 . Inhibiting the recruitment of TAMs to the TME can significantly reduce their pro-tumorigenic effects. Nanomedicines can interfere with the signaling pathways and chemokines responsible for TAM recruitment. The CCL2/CCR2 signaling pathway is crucial for the recruitment of monocytes and their differentiation into TAMs. Nanoparticles loaded with CCR2 antagonists or siRNA can effectively reduce TAM recruitment 53 , 91 . CSF-1 and its receptor (CSF-1R) are vital for the survival and recruitment of TAMs. Nanoparticles delivering CSF-1R inhibitors can block this pathway and decrease the infiltration of TAMs into tumors 92 , 93 . PEGylated gold nanoparticles functionalized with M2pep to deliver sulfated anti-VEGF siRNA have been utilized to target and inhibit the recruitment of immunosuppressive M2-type macrophages 94 ( Fig. 3 ). M2-targeting nanoparticles loaded with siRNA against the CSF-1R receptor and the α -M2pep fusion peptide serve a similar function. The CSF-1R siRNA specifically suppresses M2-like macrophage recruitment, while the α -M2pep enhances nanoparticle binding and uptake by this TAM subpopulation. Importantly, siRNA-carrying M2NPs have down-regulated the expression of exhaustion markers (PD-1 and Tim-3) on infiltrating CD8 + T cells and stimulated their IFN- γ secretion, indicating a restoration of T cell immune function 95 . As previously mentioned, the CD47–SIRP α interaction inhibits macrophage phagocytosis of tumor cells. Nanoparticles designed to block this pathway can "turn on" macrophage-mediated engulfment of tumor cells, promoting their clearance. Studies have shown that anti-CD47 antibody-conjugated nanoparticles can significantly enhance macrophage phagocytosis both in vitro and in vivo 90 , 96 . Nanoparticles can also be functionalized with opsonins, such as IgG antibodies, that bind to tumor cells and mark them for phagocytosis, aiding in the recognition and destruction of tumor cells by macrophages 97 . Engineered nanoparticles coated with tumor-specific antibodies can further promote the recognition and engulfment of tumor cells by TAMs 98 . Figure 3 RNAi-M2pep-AuNPs hinder lung cancer progression by silencing tumor-associated macrophages and cancer cells. (A) Gold nanoparticles (AuNPs, ≈15 nm) functionalized with thiolated-PEG-COOH conjugated to TAMs-targeting peptide (M2pep) and thiolated anti-VEGF siRNA labeled with Alexa Fluor 488. (B) Schematic of the outcome of the proposed combined silencing therapy (immunotherapy targeting TAMs and cancer cells) in vivo via highly specific and potent nanoparticles administered directly to bronchial airways. (C) Representative light microscopy images of BAL cells, specifically murine macrophages recovered from bronchoalveolar lavage illustrating cells from mice treated with RNAi- and RNAi-M2pep-AuNPs (0.05 mg/kg of siRNA) for days 1, 7, and 14. Black spots on macrophages treated with only RNAi-M2pep-AuNPs represent internalized NPs. Scale bars: 15 μm. (D) Immunofluorescence microscopy images of recovered macrophages from BAL fluid show RNAi-M2pep-AuNPs (green) internalization and VEGF (red) expression during 14 d of exposure. Nuclei are stained with DAPI (blue). Scale bars: 10 μm. These pictures are a composite of stylized images captured with a confocal microscope. (E) Live imaging of BALB/c nude mice bearing A549-luciferase-C8 human lung adenocarcinoma tumors nontreated (Sham) and treated with both RNAi- and RNAi-M2pep-AuNPs and with RNAicontrol-M2pep-AuNPs (dose of 0.05 mg/kg of siRNA). Representative imaging of individual mice from each treated group ( n = 6 animals) is shown at days 18 and 36. (F) Bioluminescence and epi-fluorescence analysis of ex vivo lungs from nontreated and treated mice. (G) Relative tumor size in BALB/c nude mice bearing lung tumor xenografts treated with the RNAi- and RNAi-M2pep-AuNPs, compared to untreated mice (sham), RNAicontrol-AuNPs, and RNAicontrol-M2Pep-AuNPs. The mice were treated through repeated intratracheal instillation at 0.05 mg/kg of siRNA on Days 14, 18, and 21. The tumor volume was monitored by luciferase bioluminescence ( n = 6, ∗ P < 0.05, ∗∗∗ P < 0.005). Reprinted with the permission from Ref. 94 . Copyright © 2015 Wiley. Figure 3

Figure 3 RNAi-M2pep-AuNPs hinder lung cancer progression by silencing tumor-associated macrophages and cancer cells. (A) Gold nanoparticles (AuNPs, ≈15 nm) functionalized with thi…
Figure 3 RNAi-M2pep-AuNPs hinder lung cancer progression by silencing tumor-associated macrophages and cancer cells. (A) Gold nanoparticles (AuNPs, ≈15 nm) functionalized with thiolated-PEG-COOH conjugated to TAMs-targeting peptide (M2pep) and thiolated anti-VEGF siRNA labeled with Alexa Fluor 488. (B) Schematic of the outcome of the proposed combined silencing therapy (immunotherapy targeting TAMs and cancer cells) in vivo via highly specific and potent nanoparticles administered directly to bronchial airways. (C) Representative light microscopy images of BAL cells, specifically murine macrophages recovered from bronchoalveolar lavage illustrating cells from mice treated with RNAi- and RNAi-M2pep-AuNPs (0.05 mg/kg of siRNA) for days 1, 7, and 14. Black spots on macrophages treated with only RNAi-M2pep-AuNPs represent internalized NPs. Scale bars: 15 μm. (D) Immunofluorescence microscopy images of recovered macrophages from BAL fluid show RNAi-M2pep-AuNPs (green) internalization and VEGF (red) expression during 14 d of exposure. Nuclei are stained with DAPI (blue). Scale bars: 10 μm. These pictures are a composite of stylized images captured with a confocal microscope. (E) Live imaging of BALB/c nude mice bearing A549-luciferase-C8 human lung adenocarcinoma tumors nontreated (Sham) and treated with both RNAi- and RNAi-M2pep-AuNPs and with RNAicontrol-M2pep-AuNPs (dose of 0.05 mg/kg of siRNA). Representative imaging of individual mice from each treated group ( n = 6 animals) is shown at days 18 and 36. (F) Bioluminescence and epi-fluorescence analysis of ex vivo lungs from nontreated and treated mice. (G) Relative tumor size in BALB/c nude mice bearing lung tumor xenografts treated with the RNAi- and RNAi-M2pep-AuNPs, compared to untreated mice (sham), RNAicontrol-AuNPs, and RNAicontrol-M2Pep-AuNPs. The mice were treated through repeated intratracheal instillation at 0.05 mg/kg of siRNA on Days 14, 18, and 21. The tumor volume was monitored by luciferase bioluminescence ( n = 6, ∗ P < 0.05, ∗∗∗ P < 0.005). Reprinted with the permission from Ref. 94 . Copyright © 2015 Wiley. Figure 3

Reprogramming TAMs from a pro-tumorigenic (M2-like) phenotype to an anti-tumorigenic (M1-like) phenotype can significantly bolster anti-tumor immunity. Certain cytokines and small molecules can reprogram TAMs to an M1-like phenotype, and nanoparticles can be engineered to deliver these agents directly to TAMs within the TME. For example, nanoparticles loaded with IFN- γ or TLR agonists have been shown to shift TAMs towards a pro-inflammatory, tumoricidal phenotype (M1) 99 . CRISPR/Cas9-loaded nanoparticles can target and edit specific genes within TAMs to reprogram their function. Knocking out genes that promote the M2 phenotype or upregulating genes associated with the M1 phenotype can effectively reprogram TAMs 100 .

Iron-oxide nanoparticles, such as ferumoxytol, can promote the repolarization of immunosuppressive M2 macrophages towards a pro-inflammatory M1 phenotype. This transition is driven by the iron-mediated Fenton reaction, inducing ROS production and tumor cell apoptosis. Notably, the apoptotic tumor cells further stimulate M1 polarization, creating a feedback loop that increases TNF- α and nitric oxide levels. Administration of iron-oxide nanoparticles has also been correlated with elevated M1-associated markers like TNF- α and CD86, as well as decreased M2 markers such as CD206 and IL-10 101 . Additionally, Fe 3 O 4 /MPs-CpG/liposomes and NK membrane-shrouded photosensitizer-loaded nanoparticles have been reported to repolarize M2 phenotypes to M1 phenotypes. Researchers have developed a modified albumin nanoparticle platform functionalized with two ligands, transferrin receptor-binding peptide and mannose. This platform was used to co-deliver the disulfiram/copper complex and regorafenib, efficiently suppressing cancer cell growth and successfully repolarizing immunosuppressive M2 macrophages towards a pro-inflammatory M1 phenotype 102 .

Interaction with MDSCs

MDSCs constitute a heterogeneous group of immune cells that are pivotal in tumor-induced immunosuppression. Nanoparticles provide a variety of mechanisms to engage with MDSCs and modulate their functionality within the TIME. The capacity to deliver immunomodulatory agents, regulate recruitment and function, promote differentiation, modulate metabolic activity, and inhibit immunosuppressive factors is of significant importance for bolstering anti-tumor immune responses. For example, a formulation of nanoparticles combining low-molecular-weight heparin and tocopherol succinate has been developed to target adhesion molecules essential for vasomotion during MDSC recruitment. These nanoparticles employ a dual mechanism: the hydrophilic end containing low-molecular-weight heparin interferes with the binding of granulocytic MDSCs (G-MDSCs) to vascular endothelial cells, impeding their penetration and adhesion to blood vessels, while the hydrophobic end with α -tocopheryl succinate (TOS) suppresses MMP-9 expression in G-MDSCs, thereby hindering the remodeling of the tumor immune microenvironment 103 . Nano-cur, formed from curcumin coupled to an FFE-ss-EE peptide, downregulates ARG1 and iNOS expression, and inhibits ROS production and IL-10 release, thus suppressing MDSC recruitment and differentiation in the TIME 104 . Given that MDSC recruitment is governed by multiple signaling axes, targeting a single receptor or cytokine often yields limited effects. Strategies that broadly adsorb MDSC-related cytokines or remodel the tumor immune microenvironment, such as employing bionic sponges 105 or platelet membrane-coated nanoparticles 106 , can effectively inhibit MDSC accumulation and enhance antitumor immunity. These approaches aim to disrupt the diverse ligand–receptor interactions that facilitate MDSC recruitment and create an unfavorable microenvironment for MDSC infiltration.

SCM-HPAD NPs, which have a core of DOX/HPAD polymer and are coated with cancer cell membranes, can deplete MDSCs more effectively than free DOX, while also reducing drug dosage, toxicity, and production costs 107 . DS@HLipo is a liposomal nanoparticle encapsulating DOX nanoparticles and free sunitinib, which rapidly releases sunitinib upon near-infrared light exposure to target tumor vasculature and MDSCs, followed by the release of DOX-NPs to eliminate tumor cells 108 . SUNb-PM is a sunitinib-encapsulated polymeric micellar nano delivery system that diminishes MDSC infiltration and induces tumor cell apoptosis 109 . High-density lipoprotein (HDL) nanoparticles, designed to mimic the properties of natural HDL, bind more effectively to the highly expressed B-1 scavenger receptor (SCARB1) on MDSCs. This binding effectively reduces the expression of ARG1, NOS2, and CCL5 in MDSCs, thereby activating the adaptive antitumor immune response 110 .

All- trans retinoic acid (ATRA) suppresses retinoic acid signaling and promotes glutathione (GSH) accumulation in MDSCs, reducing ROS expression and stimulating MDSC differentiation into mature myeloid cells. Clinical trials have evaluated ATRA in combination with chemotherapy or immunotherapy to reverse the immunosuppressive TIME. Biodegradable hollow mesoporous silica nanoparticles coated with a lipid bilayer (dHMLB) can simultaneously deliver DOX, ATRA, and IL-2, depleting immune-suppressing cells and activating immune effector cells 111 . The iNCVs (R848) are biodegradable silica nanoparticles coated with a lipid bilayer, loaded with the TLR7/8 agonist R848 and the drug doxorubicin. The primary function of iNCVs (R848) is to remodel the TME by converting immunosuppressive MDSCs into antigen-presenting cells, thereby reducing tumor immunosuppression 112 .

Interaction with Tregs

Tregs are a subset of immune cells that play a crucial role in maintaining immune homeostasis and suppressing excessive immune responses. However, their accumulation and immunosuppressive function within the TME can hinder anti-tumor immune responses. The interaction with nanoparticles within the TME can be manipulated to disrupt this suppression. They are able to deliver immunomodulatory agents, regulate recruitment and function, modulate metabolism, and inhibit immunosuppressive factors. Biomimetic nanoparticles that mimic the behavior of Tregs have been developed, which can directly interact with overactive immune cells, inhibiting their activation and reducing the immunosuppressive effects within the TME.

Indiscriminate systemic depletion of Tregs in cancer immunotherapy can increase the risk of autoimmune-related toxicity. Nanotechnology can help increase the specificity of Treg targeting in the TME to reduce side effects. The researchers utilized bare gold nanoparticles generated by laser ablation as carriers, and functionalized them with locked nucleic acid (LNA) oligonucleotides and nuclear localization signal (NLS) peptides to achieve efficient siRNA delivery into murine Tregs. This AuNP-LNA-NLS conjugate was able to effectively enter Tregs and suppress eGFP expression by up to 50% in Foxp3-eGFP transgenic mice 113 . A charge-reversible polymeric nanomodulator (SP DMC N) was designed to release a PP2A inhibitor (DMC) selectively in the acidic TME, downregulating FoxP3 to reduce Tregs and increase the CTL/Treg ratio 114 . A bivalent aptamer-peptide (AptCD28-P60) targeting CD28 on Tregs was used to improve the specificity and efficacy of a FoxP3 inhibitor peptide, enhancing tumor immunity when combined with a tumor vaccine 115 .

Interaction with non-cellular components

Nanomedicine's interaction with the TIM extends beyond cellular components, significantly impacting non-cellular elements such as the ECM and various signaling molecules. The ECM's physical properties, including its density and stiffness, can be altered by nanomedicine, facilitating immune cell behavior and trafficking. For instance, nanoparticles have been shown to disrupt the ECM and enhance the penetration of therapeutic agents into the tumor 116 .

Moreover, nanomedicine can interact with signaling molecules like cytokines and chemokines, affecting immune cell signaling pathways and reshaping the TIM to foster a more conducive environment for immune responses against cancer cells. Research indicates that nanoparticles can be engineered to respond to the tumor immune microenvironment, releasing immunomodulatory agents to counteract immunosuppressive factors such as transforming growth factor-beta (TGF- β ) and reducing tumor-associated fibroblast (TAF) activity, thereby enhancing the efficacy of immunotherapies 117 .

Furthermore, nanomedicine has the potential to act as a bridge between cellular and non-cellular elements within the TIM. By integrating the complex signaling network, it offers a more comprehensive approach to cancer immunotherapy. This includes the development of strategies that target both the tumor cells and the surrounding ECM, as well as the modulation of immune cell activity, creating a synergistic effect that can improve the efficacy of immunotherapies 118 .

Immunotherapy trials targeting tumor immune microenvironment

Targeting T cells

The therapeutic potential of T cells in immunotherapy is under intense investigation, with a focus on modulating the TME. ADP-A2M4, a novel agent, is designed to enhance T cell targeting of tumor cells by countering the TME's immunosuppressive mechanisms, particularly in advanced synovial sarcoma or myxoid/round cell liposarcoma, in conjunction with lymphodepleting chemotherapy 119 . Another strategy employs blinatumomab (BLINCYTO), a bispecific antibody that simultaneously binds to CD19 on B cells and CD3 on T cells, redirecting T cell-mediated cytotoxicity towards B cell-positive malignancies. This drug has been used in relapsed/refractory B-ALL and MRD + B-ALL, with trials indicating its potential to improve outcomes in these conditions 120 . Cibisatamab, a CEA-CD3 bispecific antibody, is being tested clinically, either as a single agent or combined with obinutuzumab, for advanced CEA-positive solid tumors. This precision medicine approach utilizes the specificity of T cells to target and eliminate CEA-expressing tumor cells, offering a tailored therapeutic strategy for certain solid tumors 121 . IGM-2323, a CD20 x CD3 bispecific DART molecule, is being evaluated in a phase I study for its safety, tolerability, and preliminary signs of antitumor activity in patients with relapsed or refractory B cell malignancies 122 . This innovative approach aims to harness the natural killing ability of T cells while minimizing off-target effects.

In the quest to augment the therapeutic potency of immunotherapy and concurrently attenuate its adverse effects, a multitude of clinical trials have been initiated, with a particular emphasis on the modulation of T cell activity within the tumor immune microenvironment. One such investigational agent is AMG 424, which is currently under scrutiny as a monotherapy for patients with relapsed or refractory multiple myeloma. This clinical study, launched in 2019, endeavors to elucidate the safety profile and therapeutic efficacy of AMG 424 within this specific patient cohort 123 . MGD024, a CD123 x CD3 bispecific DART molecule, is also under evaluation in a phase I clinical trial for patients with relapsed or refractory CD123-positive hematologic malignancies, which began in 2022. The trial is assessing the safety, tolerability, and early anti-neoplastic activity of MGD024 124 . PRS-343, engaging HER2 and 4–1BB, is the subject of a phase I clinical trial for patients with HER2-positive malignancies, which started in 2019. This trial is conducting a thorough assessment of various therapeutic indicators relevant to PRS-343's potential 125 . For a comprehensive overview of clinical trials targeting the tumor immune microenvironment, refer to Table 1 119 , 120 , 121 , 122 , 123 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 , 132 , 133 , 134 , 135 , 136 , 137 , 138 , 139 , 140 , 141 , 142 , 143 , 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 , 152 , 153 , 154 , 155 , 156 , 157 . These trials exemplify the diverse strategies being explored to harness T cells for cancer immunotherapy, reflecting the dynamic and evolving landscape of cancer treatment. Table 1 Clinical trials of drugs targeting the tumor immune microenvironment. Table 1 Target Mechanism Drug Strategy (combination drugs) Conditions Phase Year Identifier Ref T Cells Improving tumour targeting ADP-A2M4 Lymphodepleting chemotherapy (fludarabine and cyclophosphamide) Advanced synovial sarcoma or MRCLS II 2024 NCT03132922 119 Blinatumomab (BLINCYTO) Chemotherapy Relapsed/refractory B-ALL; MRD + B-ALL III 2023 NCT02101853 120 Cibisatamab Single agent with or without obinutuzumab Advanced CEA-positive solid tumors I 2024 NCT02324257 121 IGM-2323 Single agent Relapsed or refractory FL, DLBCL, MZL I 2023 NCT04082936 122 Restricting T cell stimulation to mitigate adverse effects. AMG 424 Single agent Relapsed or refractory multiple myeloma I 2019 NCT03445663 123 MGD024 Single agent Relapsed or refractory CD123-positive hematologic malignancies I 2022 NCT05362773 124 PRS-343 Single agent Solid tumors (gastric, breast, gynecological, colorectal, gallbladder, bladder, pancreatic, salivary duct, melanoma) I 2019 NCT03330561 125 B Cells Inhibit B cell activity Idelalisib Combined rituximab (for CLL) Relapsed CLL; relapsed follicular B-cell NHL; relapsed SLL III 2017 NCT01659021 129 Relieve the inhibitory effect on lymphocytes Icatolimab (TAB004/JS004) Toripalimab Advanced unresectable solid tumour; Metastatic solid tumour I 2022 NCT04137900 128 Belzutifan (MK-6482, PT2977) Single agent Renal cell carcinoma, CNS hemangioblastomas, pancreatic neuroendocrine tumors associated with VHL disease II 2021 NCT03401788 127 Crizotinib Single agent Haematologic cancers; solid tumours; Metastatic cancer II 2024 NCT02034981 126 NK cells Engaging NK cells via one activating receptor AFM28 Single agent Relapsed/Refractory AML I 2022 NCT05817058 133 AFM24 Combination with atezolizumab Advanced EGFR-expressing solid tumors I/II 2024 NCT04259450 132 Engaging NK cells via two activating receptors DF1001 Single agent Advanced solid tumors, at least HER2 1+ expressing tumors I/II 2023 NCT04143711 131 SAR445514(IPH64) Single agent Relapsed/refractory multiple myeloma and relapsed/refractory light chain amyloidosis I/II 2023 NCT05839626 130 TAMs Inhibit recruitment Carlumab/CNTO 888 (anti-CCL2 antibody) Combined chemotherapy (docetaxel/gemcitabine/Paclitaxel and carboplatin/DOXIL®/Caelyx® doxorubicin HCL liposome injection) Solid tumors I 2015 NCT01204996 149 PF-04136309 (CCR2 antagonist) Combined chemotherapy (Oxaliplatin/Irinotecan/Leucovorin/Fluorouracil) Pancreatic neoplasms I 2016 NCT01413022 137 Maraviroc (CCR5 antagonist) Combined immunotherapy (Pembrolizumab) Metastatic colorectal cancer I 2022 NCT03274804 157 Deplete and suppress TAMs Pexidartinib/PLX3397 (CSF-1R inhibitor) Monotherapy PVNS or GCT-TS III 2019 NCT02371369 135 ARRY-382 (CSF-1R inhibitor) Combined immunotherapy (Pembrolizumab) Advanced solid tumors II 2022 NCT02880371 156 Lacnotuzumab (MCS110) Combined immunotherapy (Spartalizumab, PDR001) Solid tumors I/II 2024 NCT02807844 145 PY314 (anti-TREM2 mab) Combined immunotherapy (Pembrolizumab) Advanced renal cell carcinoma I 2024 NCT04691375 141 Reprogramming TAM function AVB-S6-500 (GAS6-AXL signaling pathway inhibitor) Combined chemotherapy (Pegylated liposomal doxorubicin/Paclitaxel) Ovarian cancer I 2021 NCT03639246 155 R484/Resiquimod (TLR7/8 agonist) Monotherapy CTCL I/II 2015 NCT01676831 147 Olaparib (PARP inhibitor) Combined immunotherapy (Durvalumab) and angiogenesis (Cediranib) Advanced leiomyosarcoma II 2023 NCT03851614 144 ONCOS-102 (expressing GM-CSF) Combination therapy with oncolytic virus and chemotherapy (Pemetrexed) Malignant pleural mesothelioma II 2023 NCT02879669 143 Block immune checkpoints Magrolimab/Hu5F9-G4 (anti-CD47 mab) Monotherapy Hematological malignancies I 2023 NCT04778397 154 Monotherapy Solid tumor I 2019 NCT02216409 134 Combined immunotherapy and Chemotherapy (Rituximab/Rituximab + Gemcitabine) B-cell non-Hodgkin's lymphoma I/II 2018 NCT02953509 136 Bintrafusp alfa Bifunctional fusion protein therapy (anti TGF- β and PD-L1) Non-small cell lung cancer I 2024 NCT02517398 142 MDSCs Inhibit recruitment AZD5069 (CXCR2 inhibitor) Combined enzalutamide Metastatic castration resistant prostate cancer I/II 2023 NCT03177187 148 BL-8040 (CXCR4 antagonists) Combined immunotherapy (Pembrolizumab) Metastatic pancreatic cancer II 2021 NCT02826486 150 , 153 Deplete MDSCs Tadalafil (ATRA) Combined cancer vaccine Head and neck cancer I 2014 NCT02544880 146 Entinostat (hdaci) Combined immunotherapy (Pembrolizumab) MDS or AML I 2024 NCT02936752 140 Reprogramming TAM function VT1021 (TSP-1 activator) Monotherapy Advanced solid tumors I 2024 NCT03364400 139 Tregs Targeting recruitment factors Mogamulizumab(Anti-CCR84 antibody) Combined immunotherapy (Nivolumab) Solid tumor I 2019 NCT02476123 152 Targeting immune checkpoints Tiragolumab (Anti-TIGIT mab) Combined immunotherapy (Atezolizumab) Non-small cell lung cancer II 2022 NCT03563716 151 Deplete Tregs Mogamulizumab (Anti-CCR4 igg1 antibody) Monotherapy Advanced solid tumors CCR4-negative I 2023 NCT01929486 138 TAMs, tumor-associated macrophages; MDS, myelodysplastic syndromes/neoplasms; AML, acute myeloid leukemia; MRCLS, myxoid/round cell liposarcoma; B-ALL, B-cell acute lymphoblastic leukemia; MRD, minimal residual disease; CEA, carcinoembryonic antigen; FL, follicular lymphoma; DLBCL, diffuse large B-cell lymphoma; MZL, marginal zone lymphoma; CLL, chronic lymphocytic leukemia; NHL, non-hodgkin's lymphoma; SLL, small lymphocytic lymphoma; CNS, central nervous system; VHL, Von Hippel-Lindau; EGFR, epidermal growth factor receptor; CCL2, C–C motif chemokine ligand 2; CCR2, chemokine receptor 2; CSF-1R, colony-stimulating factor 1 receptor; PVNS, pigmented villonodular synovitis; GCT-TS, tenosynovial giant cell tumor of the tendon sheath; TREM2, triggering receptor expressed on myeloid cells 2; GAS6, growth arrest-specific 6; TLR7/8, toll-like receptor 7/8; CTCL, cutaneous T-cell lymphoma; PARP, poly(ADP-ribose) polymerase; GM-CSF, granulocyte-macrophage colony-stimulating factor; anti-CD47 mAb, anti-CD47 monoclonal antibody; B-cell NHL, B-cell non-hodgkin's lymphoma; CXCR2, C–X–C motif chemokine receptor 2; CXCR4, C–X–C motif chemokine receptor 4; ATRA, all- trans retinoic acid; PDE-5, phosphodiesterase type 5; MDSCs, myeloid-derived suppressor cells; HDACi, histone deacetylase inhibitor; TSP-1, thrombospondin-1; Anti-CCR4, IgG1 antibody anti-C–C chemokine receptor 4 immunoglobulin G1 antibody; Anti-TIGIT mab, anti-t cell immunoreceptor with IG and ITIM domains monoclonal antibody.

Table 1
Clinical trials of drugs targeting the tumor immune microenvironment.
TAMs, tumor-associated macrophages; MDS, myelodysplastic syndromes/neoplasms; AML, acute myeloid leukemia; MRCLS, myxoid/round cell liposarcoma; B-ALL, B-cell acute lymphoblastic leukemia; MRD, minimal residual disease; CEA, carcinoembryonic antigen; FL, follicular lymphoma; DLBCL, diffuse large B-cell lymphoma; MZL, marginal zone lymphoma; CLL, chronic lymphocytic leukemia; NHL, non-hodgkin's lymphoma; SLL, small lymphocytic lymphoma; CNS, central nervous system; VHL, Von Hippel-Lindau; EGFR, epidermal growth factor receptor; CCL2, C–C motif chemokine ligand 2; CCR2, chemokine receptor 2; CSF-1R, colony-stimulating factor 1 receptor; PVNS, pigmented villonodular synovitis; GCT-TS, tenosynovial giant cell tumor of the tendon sheath; TREM2, triggering receptor expressed on myeloid cells 2; GAS6, growth arrest-specific 6; TLR7/8, toll-like receptor 7/8; CTCL, cutaneous T-cell lymphoma; PARP, poly(ADP-ribose) polymerase; GM-CSF, granulocyte-macrophage colony-stimulating factor; anti-CD47 mAb, anti-CD47 monoclonal antibody; B-cell NHL, B-cell non-hodgkin's lymphoma; CXCR2, C–X–C motif chemokine receptor 2; CXCR4, C–X–C motif chemokine receptor 4; ATRA, all- trans retinoic acid; PDE-5, phosphodiesterase type 5; MDSCs, myeloid-derived suppressor cells; HDACi, histone deacetylase inhibitor; TSP-1, thrombospondin-1; Anti-CCR4, IgG1 antibody anti-C–C chemokine receptor 4 immunoglobulin G1 antibody; Anti-TIGIT mab, anti-t cell immunoreceptor with IG and ITIM domains monoclonal antibody.

TargetMechanismDrugStrategy (combination drugs)ConditionsPhaseYearIdentifierRef
T CellsImproving tumour targetingADP-A2M4Lymphodepleting chemotherapy (fludarabine and cyclophosphamide)Advanced synovial sarcoma or MRCLSII2024NCT03132922119
Blinatumomab (BLINCYTO)ChemotherapyRelapsed/refractory B-ALL; MRD + B-ALLIII2023NCT02101853120
CibisatamabSingle agent with or without obinutuzumabAdvanced CEA-positive solid tumorsI2024NCT02324257121
IGM-2323Single agentRelapsed or refractory FL, DLBCL, MZLI2023NCT04082936122
Restricting T cell stimulation to mitigate adverse effects.AMG 424Single agentRelapsed or refractory multiple myelomaI2019NCT03445663123
MGD024Single agentRelapsed or refractory CD123-positive hematologic malignanciesI2022NCT05362773124
PRS-343Single agentSolid tumors (gastric, breast, gynecological, colorectal, gallbladder, bladder, pancreatic, salivary duct, melanoma)I2019NCT03330561125
B CellsInhibit B cell activityIdelalisibCombined rituximab (for CLL)Relapsed CLL; relapsed follicular B-cell NHL; relapsed SLLIII2017NCT01659021129
Relieve the inhibitory effect on lymphocytesIcatolimab (TAB004/JS004)ToripalimabAdvanced unresectable solid tumour; Metastatic solid tumourI2022NCT04137900128
Belzutifan (MK-6482, PT2977)Single agentRenal cell carcinoma, CNS hemangioblastomas, pancreatic neuroendocrine tumors associated with VHL diseaseII2021NCT03401788127
CrizotinibSingle agentHaematologic cancers; solid tumours; Metastatic cancerII2024NCT02034981126
NK cellsEngaging NK cells via one activating receptorAFM28Single agentRelapsed/Refractory AMLI2022NCT05817058133
AFM24Combination with atezolizumabAdvanced EGFR-expressing solid tumorsI/II2024NCT04259450132
Engaging NK cells via two activating receptorsDF1001Single agentAdvanced solid tumors, at least HER2 1+ expressing tumorsI/II2023NCT04143711131
SAR445514(IPH64)Single agentRelapsed/refractory multiple myeloma and relapsed/refractory light chain amyloidosisI/II2023NCT05839626130
TAMsInhibit recruitmentCarlumab/CNTO 888 (anti-CCL2 antibody)Combined chemotherapy (docetaxel/gemcitabine/Paclitaxel and carboplatin/DOXIL®/Caelyx® doxorubicin HCL liposome injection)Solid tumorsI2015NCT01204996149
PF-04136309 (CCR2 antagonist)Combined chemotherapy (Oxaliplatin/Irinotecan/Leucovorin/Fluorouracil)Pancreatic neoplasmsI2016NCT01413022137
Maraviroc (CCR5 antagonist)Combined immunotherapy (Pembrolizumab)Metastatic colorectal cancerI2022NCT03274804157
Deplete and suppress TAMsPexidartinib/PLX3397 (CSF-1R inhibitor)MonotherapyPVNS or GCT-TSIII2019NCT02371369135
ARRY-382 (CSF-1R inhibitor)Combined immunotherapy (Pembrolizumab)Advanced solid tumorsII2022NCT02880371156
Lacnotuzumab (MCS110)Combined immunotherapy (Spartalizumab, PDR001)Solid tumorsI/II2024NCT02807844145
PY314 (anti-TREM2 mab)Combined immunotherapy (Pembrolizumab)Advanced renal cell carcinomaI2024NCT04691375141
Reprogramming TAM functionAVB-S6-500 (GAS6-AXL signaling pathway inhibitor)Combined chemotherapy (Pegylated liposomal doxorubicin/Paclitaxel)Ovarian cancerI2021NCT03639246155
R484/Resiquimod (TLR7/8 agonist)MonotherapyCTCLI/II2015NCT01676831147
Olaparib (PARP inhibitor)Combined immunotherapy (Durvalumab) and angiogenesis (Cediranib)Advanced leiomyosarcomaII2023NCT03851614144
ONCOS-102 (expressing GM-CSF)Combination therapy with oncolytic virus and chemotherapy (Pemetrexed)Malignant pleural mesotheliomaII2023NCT02879669143
Block immune checkpointsMagrolimab/Hu5F9-G4 (anti-CD47 mab)MonotherapyHematological malignanciesI2023NCT04778397154
MonotherapySolid tumorI2019NCT02216409134
Combined immunotherapy and Chemotherapy (Rituximab/Rituximab + Gemcitabine)B-cell non-Hodgkin's lymphomaI/II2018NCT02953509136
Bintrafusp alfaBifunctional fusion protein therapy (anti TGF- β and PD-L1)Non-small cell lung cancerI2024NCT02517398142
MDSCsInhibit recruitmentAZD5069 (CXCR2 inhibitor)Combined enzalutamideMetastatic castration resistant prostate cancerI/II2023NCT03177187148
BL-8040 (CXCR4 antagonists)Combined immunotherapy (Pembrolizumab)Metastatic pancreatic cancerII2021NCT02826486150 , 153
Deplete MDSCsTadalafil (ATRA)Combined cancer vaccineHead and neck cancerI2014NCT02544880146
Entinostat (hdaci)Combined immunotherapy (Pembrolizumab)MDS or AMLI2024NCT02936752140
Reprogramming TAM functionVT1021 (TSP-1 activator)MonotherapyAdvanced solid tumorsI2024NCT03364400139
TregsTargeting recruitment factorsMogamulizumab(Anti-CCR84 antibody)Combined immunotherapy (Nivolumab)Solid tumorI2019NCT02476123152
Targeting immune checkpointsTiragolumab (Anti-TIGIT mab)Combined immunotherapy (Atezolizumab)Non-small cell lung cancerII2022NCT03563716151
Deplete TregsMogamulizumab (Anti-CCR4 igg1 antibody)MonotherapyAdvanced solid tumors CCR4-negativeI2023NCT01929486138

Targeting B cells

Targeting B cells has emerged as a pivotal strategy in cancer immunotherapy, with clinical trials focusing on inhibiting their activity or relieving their inhibitory effects on lymphocytes. Idelalisib, a potent PI3K δ inhibitor, has been investigated in combination with rituximab for the treatment of relapsed chronic lymphocytic leukemia (CLL), follicular B-cell NHL, and small lymphocytic lymphoma (SLL), demonstrating its efficacy in a phase II study conducted in 2017 129 .

Icatolimab (TAB004/JS004), a novel anti-BTLA antibody, is being assessed for its capacity to relieve the inhibitory effects on lymphocytes in advanced unresectable or metastatic solid tumors. The drug has been combined with toripalimab, a PD-1 inhibitor, in a phase I clinical trial initiated in 2022 128 . Belzutifan (MK-6482, PT2977), a HIF-2 α inhibitor, has shown promise as a single agent in treating renal cell carcinoma, CNS hemangioblastomas, and pancreatic neuroendocrine tumors associated with von Hippel-Lindau (VHL) disease. This drug is currently in a phase II study that started in 2021, further exploring its potential in cancer treatment 127 . Crizotinib, a kinase inhibitor targeting ALK, ROS1, and MET, is being studied as a single agent for the treatment of hematologic cancers, solid tumors, and metastatic cancer. The phase II trial, which began in 2024, aims to evaluate the drug's effectiveness in these conditions 126 .

Targeting NK cells

Natural killer (NK) cells are critical components of the innate immune system, capable of identifying and eliminating cancer cells without prior sensitization. The targeting of NK cells in the TME has become a promising strategy in immunotherapy. Several clinical trials are underway to explore the potential of engaging NK cells via different mechanisms to enhance their antitumor activity. AFM28, a bispecific antibody, is being investigated as a single agent for the treatment of relapsed/refractory acute myeloid leukemia (AML). This therapy aims to harness the power of NK cells by engaging them with CD123-expressing targets, a strategy that is currently in phase I of clinical development, with studies initiated in 2022 133 . Similarly, AFM24 is being explored in combination with atezolizumab, an anti-PD-L1 antibody, for the treatment of advanced EGFR-expressing solid tumors. This approach seeks to leverage the cytotoxic potential of NK cells while overcoming the immunosuppressive TME, and the trial is in phase I/II, as of 2024 132 . DF1001 represents a novel tri-specific NK cell engager therapy that targets HER2-expressing tumors. This therapy is designed to redirect NK cells to cancer cells, enhancing their cytotoxic effects. The phase I/II clinical trial of DF1001 is focused on patients with advanced solid tumors that express at least HER2 1 + , with the trial initiated in 2023 131 . SAR445514, another bispecific antibody, is under investigation for its safety and efficacy in patients with relapsed/refractory multiple myeloma (RRMM) and relapsed/refractory light chain amyloidosis (RRLCA). This therapy is being evaluated as a single agent and in combination with pembrolizumab, an anti-PD-1 therapy, for patients with advanced solid tumors, including those with head and neck squamous cell carcinoma, non-small cell lung cancer, and renal cell carcinoma. The trial is in phase 1/2 and was initiated in 2023 130 .

Targeting TAMs

In the TIM, tumor-associated macrophages (TAMs) are key factors affecting tumor growth and the response to immunotherapy. Recent clinical trials have focused on studying various strategies to target TAMs to enhance immune responses and therapeutic efficacy.

Initially, the recruitment of TAMs was inhibited using the anti-CCL2 antibody Carlumab/CNTO 888, in combination with multiple chemotherapy drugs such as docetaxel, gemcitabine, and paclitaxel 149 . Additionally, the CCR2 antagonist PF-04136309, when combined with chemotherapy drugs oxaliplatin, irinotecan, leucovorin, and fluorouracil, showed potential in a phase I clinical trial for pancreatic neoplasms in 2016 137 . Maraviroc, as a CCR5 antagonist, was initiated in a clinical trial in 2022 in combination with Pembrolizumab for metastatic colorectal cancer 157 .

Beyond inhibiting TAM recruitment, clinical trials are also exploring how to deplete and suppress TAMs. For instance, the CSF-1R inhibitor Pexidartinib/PLX3397, as a monotherapy, entered a phase III clinical trial for tenosynovial giant cell tumor or related lesions in 2019 135 . ARRY-382, another CSF-1R inhibitor, entered a phase II clinical trial in 2022 in combination with Pembrolizumab for advanced solid tumors 156 .

Reprogramming the function of TAMs is also a hot topic of current research. The GAS6-AXL signaling pathway inhibitor AVB-S6-500, when used in combination with chemotherapy drugs, showed promise in a clinical trial for ovarian cancer 155 . Furthermore, the TLR7/8 agonist R484, Resiquimod, as a monotherapy, entered phases I and II of a clinical trial for cutaneous T-cell lymphoma in 2015 147 . Using the " β -Elemene@Stanene" strategy for enhancing cancer chemo-immunotherapy, researchers overcome immunosuppression and enhance the effectiveness of chemo-immunotherapy. This approach is significant as it not only demonstrates the therapeutic efficacy of STNSP-based nano drug delivery systems against immunosuppressive tumors but also establishes a versatile platform for 2D nanomaterial-mediated cancer chemo-immunotherapy 158 .

Immune checkpoint inhibitors also play a significant role in cancer therapy. Magrolimab/Hu5F9-G4, a monoclonal antibody targeting CD47, entered phase I of a clinical trial for hematological malignancies in 2023 154 . Moreover, Magrolimab is also used as a single therapy or in combination with Rituximab and Gemcitabine for the treatment of B-cell non-Hodgkin's lymphoma in clinical trials 136 . Bintrafusp alfa, as a bifunctional fusion protein targeting TGF- β and PD-L1, has demonstrated potential in the second-line treatment of non-small cell lung cancer 142 .

Targeting MDSCs

Myeloid-derived suppressor cells (MDSCs) play a significant role in the TME by inhibiting the immune response against cancer. Various strategies are being explored to target MDSCs and enhance the efficacy of immunotherapy. One approach to inhibit the recruitment of MDSCs is the use of AZD5069, a CXCR2 inhibitor, which is being studied in combination with enzalutamide for metastatic castration-resistant prostate cancer (mCRPC). This clinical trial is in phase I/II and was initiated in 2023 148 . Another strategy involves the use of BL-8040, a CXCR4 antagonist, which is being combined with pembrolizumab, an anti-PD-1 therapy, for the treatment of metastatic pancreatic cancer. This trial is in phase II and began in 2021 150 , 153 . To deplete MDSCs, Tadalafil, also known as ATRA, is being investigated in combination with a cancer vaccine for head and neck cancer. This phase I trial started in 2014 146 . Entinostat, a histone deacetylase inhibitor (HDACi), is being explored in combination with pembrolizumab for the treatment of myelodysplastic syndrome (MDS) or acute myeloid leukemia (AML). This phase I trial was initiated in 2024 140 . Lastly, the reprogramming of MDSCs is being targeted with VT1021, a TSP-1 activator, which is being used as a monotherapy for advanced solid tumors. This phase I trial started in 2024 139 .

Targeting Tregs

Regulatory T cells (Tregs) are a subset of T cells that play a critical role in maintaining immune tolerance and suppressing excessive immune responses, including those against tumors. Targeting Tregs has emerged as a promising strategy to enhance the efficacy of cancer immunotherapy. One approach to target Tregs involves the use of mogamulizumab, an anti-CCR8 antibody, which is being investigated in combination with nivolumab, an immune checkpoint inhibitor, for the treatment of solid tumors. This clinical trial is in phase I and was initiated in 2019 152 . Another strategy aims to target immune checkpoints by using tiragolumab, an anti-TIGIT monoclonal antibody, in combination with atezolizumab for non-small cell lung cancer. This trial is in phase II and began in 2022 151 . Depletion of Tregs is also being explored as a therapeutic approach. Mogamulizumab, an anti-CCR4 IgG1 antibody, is being studied as a monotherapy for advanced solid tumors that are CCR4-negative. This phase I trial started in 2023 138 . Published clinical trials for cancer nanoparticles are shown in Table 2 159 , 160 , 161 , 162 , 163 , 164 , 165 , 166 , 167 , 168 , 169 , 170 , 171 , 172 , 173 , 174 , 175 , 176 , 177 , 178 , 179 , 180 , 181 , 182 , 183 . Table 2 Published clinical trials for cancer nanoparticles. Table 2 Active component Name Ligand target Nanocarrier Payload Indication Trial registration Year Status Ref Chemotherapy Drugs Doxil NA Liposome DOX Karposi's sarcoma, ovarian cancer, multiple myeloma NA 1995 Approved by FDA 169 Daunoxome NA Liposome Daunorubicin Karposi's sarcoma NA 1996 Approved by FDA 168 Marqibo NA Liposome Vincristine Acute lymphoblastic leukemia NCT00495079 2012 Approved by FDA 159 Onivyde DNA topoisomerase I inhibitor Liposome Irinotecan Pancreatic cancer NCT00813072 2015 Approved by FDA 166 MBP-426 Transferrin receptor Liposome Oxaliplatin Gastric, oesophageal and gastro-oesophageal adenocarcinoma NCT00355888 2009 Phase I 165 Thermodox NA Liposome DOX Hepatocellular carcinoma NCT02112656 2009 Phase III 164 Genexol-PM NA Polymeric nanoparticles Paclitaxel Breast cancer and NSCLC NA 2007 Approved in South Korea 163 Opaxio NA Polymeric nanoparticles Paclitaxel Head and neck cancer; Glioblastoma NA 2012 Approved by FDA 162 Antibodies Targomirs Anti-EGFR Minicell Mir-16-based microRNA mimic NSCLC, MPM NCT02369198 2017 Phase I 178 AB160 Anti-VEGF Nab-paclitaxel Bevacizumab GUC NCT02020707 2024 Phase I 171 Antibody fragments C225-ils-DOX Anti-EGFR Fab’ Liposome DOX Solid tumors NCT01702129 2012 Phase I 177 MM-302 Anti-HER2 scfv Liposome DOX Breast cancer NCT01304797 2018 Phase I 179 SGT-53 Anti-TFR scfv Liposome P53 plasmid Solid tumors NCT00470613 2013 Phase I 175 Pancreatic cancer NCT02340117 2008 Phase II 173 SGT-94 Anti-TFR scfv Liposome RB94 plasmid GUC NCT01517464 2016 Phase I 176 Lipovaxin-MM Anti-DC-SIGN VH Liposome Melanoma antigens and IFN- γ Melanoma NCT01052142 2018 Phase I 181 Proteins MBP-426 Tf Liposome Oxaliplatin Solid tumors NCT00355888 2009 Phase I 183 AGC or EAC NCT00964080 2009 Phase I/II 182 CALAA-01 Tf Polymeric nanoparticles RRM2 siRNA Solid tumors NCT00689065 2014 Phase I 174 Peptides Mepact NA Liposome Muramyl tripeptide phosphatidyl ethanolamine Non-metastatic osteosarcoma NA 2009 Approved in Europe 167 Rexin-G Vwf-derived motif Retroviral vector Dn-CCNG1 Osteosarcoma NCT00572130 2009 Phase II 160 Dn-CCNG1 Sarcoma NCT00505713 2019 Phase I/II 180 Dn-CCNG1 Pancreatic cancer NCT00504998 2019 Phase I/II 180 Inorganic nanoparticles Aguix Radiotherapy Diethylene glycol Gadolinium Metastatic brain tumor NCT02820454 2021 Phase I 170 NBTXR3 Radiotherapy Hafnium oxide NPs Adult soft tissue sarcoma NCT01433068 2019 Approved in Europe 161 188 Re-liposome NA Liposome 188 Re 188 Re Approved in Taiwan, China. MA1101G0 2019 Phase 0 172 AGC, advanced gastric cancer; dn-CCNG1, dominant-negative mutant construct of cyclin G1; DOX, doxorubicin; EAC, esophageal adenocarcinoma; GUC, genitourinary cancers; HER2, growth factor receptor 2; MPM, malignant pleural mesothelioma; NSCLC, non-small cell lung cancer; NP, nanoparticles; Tf, transferrin; vWF, von Willebrand factor.

Table 2
Published clinical trials for cancer nanoparticles.
AGC, advanced gastric cancer; dn-CCNG1, dominant-negative mutant construct of cyclin G1; DOX, doxorubicin; EAC, esophageal adenocarcinoma; GUC, genitourinary cancers; HER2, growth factor receptor 2; MPM, malignant pleural mesothelioma; NSCLC, non-small cell lung cancer; NP, nanoparticles; Tf, transferrin; vWF, von Willebrand factor.

Active componentNameLigand targetNanocarrierPayloadIndicationTrial registrationYearStatusRef
Chemotherapy DrugsDoxilNALiposomeDOXKarposi's sarcoma, ovarian cancer, multiple myelomaNA1995Approved by FDA169
DaunoxomeNALiposomeDaunorubicinKarposi's sarcomaNA1996Approved by FDA168
MarqiboNALiposomeVincristineAcute lymphoblastic leukemiaNCT004950792012Approved by FDA159
OnivydeDNA topoisomerase I inhibitorLiposomeIrinotecanPancreatic cancerNCT008130722015Approved by FDA166
MBP-426Transferrin receptorLiposomeOxaliplatinGastric, oesophageal and gastro-oesophageal adenocarcinomaNCT003558882009Phase I165
ThermodoxNALiposomeDOXHepatocellular carcinomaNCT021126562009Phase III164
Genexol-PMNAPolymeric nanoparticlesPaclitaxelBreast cancer and NSCLCNA2007Approved in South Korea163
OpaxioNAPolymeric nanoparticlesPaclitaxelHead and neck cancer; GlioblastomaNA2012Approved by FDA162
AntibodiesTargomirsAnti-EGFRMinicellMir-16-based microRNA mimicNSCLC, MPMNCT023691982017Phase I178
AB160Anti-VEGFNab-paclitaxelBevacizumabGUCNCT020207072024Phase I171
Antibody fragmentsC225-ils-DOXAnti-EGFR Fab’LiposomeDOXSolid tumorsNCT017021292012Phase I177
MM-302Anti-HER2 scfvLiposomeDOXBreast cancerNCT013047972018Phase I179
SGT-53Anti-TFR scfvLiposomeP53 plasmidSolid tumorsNCT004706132013Phase I175
Pancreatic cancerNCT023401172008Phase II173
SGT-94Anti-TFR scfvLiposomeRB94 plasmidGUCNCT015174642016Phase I176
Lipovaxin-MMAnti-DC-SIGN VHLiposomeMelanoma antigens and IFN- γMelanomaNCT010521422018Phase I181
ProteinsMBP-426TfLiposomeOxaliplatinSolid tumorsNCT003558882009Phase I183
AGC or EACNCT009640802009Phase I/II182
CALAA-01TfPolymeric nanoparticlesRRM2 siRNASolid tumorsNCT006890652014Phase I174
PeptidesMepactNALiposomeMuramyl tripeptide phosphatidyl ethanolamineNon-metastatic osteosarcomaNA2009Approved in Europe167
Rexin-GVwf-derived motifRetroviral vectorDn-CCNG1OsteosarcomaNCT005721302009Phase II160
Dn-CCNG1SarcomaNCT005057132019Phase I/II180
Dn-CCNG1Pancreatic cancerNCT005049982019Phase I/II180
Inorganic nanoparticlesAguixRadiotherapyDiethylene glycolGadoliniumMetastatic brain tumorNCT028204542021Phase I170
NBTXR3RadiotherapyHafnium oxide NPsAdult soft tissue sarcomaNCT014330682019Approved in Europe161
188 Re-liposomeNALiposome188 Re188 ReApproved in Taiwan, China. MA1101G02019Phase 0172

Role of nanomedicine in overcoming tumor immunosuppression

Inhibiting immunosuppressive cell recruitment and function

The engagement of immunosuppressive cells within the TME is a pivotal factor propelling cancer progression and impeding therapeutic efficacy. Nanomedicine presents groundbreaking methods to regulate these processes, thus amplifying the potency of cancer therapies. Inhibiting the recruitment of immunosuppressive cells can be achieved through nanoparticles that disrupt the signaling pathways guiding their migration toward tumors. For instance, nanoparticles designed to deliver siCCR2 have been effectively utilized to target inflammatory monocytes, consequently reducing their accumulation in the TME and altering the immunosuppressive milieu 184 . Another strategy encompasses the deployment of nanoparticles laden with pCCL2 LPD NP, which are directed at TAMs, suppressing the expression of tumor-associated antigens while simultaneously promoting T-cell infiltration and depleting M2 macrophages 91 .

Nanomedicine possesses the capability to target the functionality of immunosuppressive cells already entrenched within the TME. For example, M2pep/anti-VEGF siRNA nanoparticles have been crafted to specifically hone in on M2 macrophages, thereby silencing VEGF mRNA and neutralizing their immunosuppressive capabilities 94 . Along similar lines, α -M2pep/cholsiCD115 nanoparticles have been engineered for dual-targeted delivery to M2-type TAMs, enhancing the precision of therapeutic interventions 95 . Beyond inhibition, it can also modulate the phenotype of immunosuppressive cells, directing them toward a more beneficial state. For example, DOX/ α GC PLT/DOX/ α GC NPs have shown the capacity to impede the adhesion between granulocytic myeloid-derived suppressor cells (G-MDSCs) and endothelial cells, which leads to a reduction in MMP-9 expression in G-MDSCs and a subsequent compromise of their immunosuppressive activity 103 .

Depletion and suppression of immunosuppressive cells

The targeted depletion and suppression of immunosuppressive cells are essential in cancer therapy, aimed at normalizing the TME and bolstering antitumor immune responses. Nanomedicine facilitates this strategy through the development of targeted delivery systems designed to selectively eliminate or modulate the activity of these cells. ALN-BSP conjugated polymer nanoparticles have been specifically engineered to target and deplete TAMs, thereby inhibiting angiogenesis and enhancing local immune surveillance 185 . BLZ-945, a CSF-1R inhibitor, when delivered via nanocarriers, enhances the targeting of TAMs and contributes to their depletion 186 . MDSCs are immature myeloid cells that accumulate in various cancers and are pivotal in immune suppression. DSB PSNP nanoparticles simulate apoptosome-mediated phagocytosis for tumor-specific macrophage targeting, resulting in the depletion of immunosuppressive cells 187 . Additionally, DOX S-CM-HPAD NPs have been formulated to suppress the activity of MDSCs, regulate tumor immune evasion, and stimulate T-cell proliferation and cytokine production 188 .

Combination therapies targeting both tumor vascular epithelial cells and MDSCs have shown promising results. An example of this is the DOX-NP/Sunitinib DS@HLipo liposomes, which are crafted to target multiple cellular components, dismantling the immunosuppressive network and amplifying the collective antitumor defense 107 . Beyond cell depletion, the modulatory potential of MDSCs is also utilized to reduce their immunosuppressive impact. SCARB1-targeted HDL NP therapy illustrates this approach, where the activity of MDSCs is dampened, thus fostering a more favorable TME for effective immune reactions 109 .

Reprogramming immunosuppressive cells

Within the TME, macrophages can assume a spectrum of phenotypes, with M2 macrophages often manifesting immunosuppressive characteristics. The reprogramming of these cells from a suppressive to an activated state, such as the pro-inflammatory M1 phenotype, can leverage their potential in the fight against cancer. Nanomedicine plays a pivotal role in this strategy by enabling the targeted delivery of reprogramming agents that induce this phenotypic shift towards antitumor activity. For example, micelles containing Poly I:C and ZnPP have been used to reprogram TAMs by modulating the expression of ROS and STAT3, promoting a shift towards the M1 phenotype 189 . SiRNA can be employed to target specific genes that contribute to the immunosuppressive phenotype of cells. Nanoparticles, such as AS/IKK β siRNA ST-AS&Si, have been engineered to co-deliver M2-targeted IKK β siRNA and the pH-sensitive STAT6 inhibitor AS, enabling precise drug release and effectively repolarizing M2 macrophages 117 . The delivery of specific genes can also reprogram immunosuppressive cells. Nanoparticles like IRF5/IKK β mRNA NPs have been engineered to provide genes encoding master regulators of macrophage polarization, which can instruct macrophages to adopt a more antitumor phenotype 190 , 191 , 192 . Combining reprogramming agents with other therapies can enhance the overall effect. For example, liposomes such as GEF/VOR tLGV have been applied to reprogram TAMs and activate a specific signaling axis for drug-resistant non-small cell lung cancer, integrating the reprogramming effect with chemotherapeutic agents 193 . Moreover, Dendritic cells can also be reprogrammed to enhance their antigen-presenting capabilities. Nanoparticles, such as CpG ODN/anti-IL-10 ODN/anti-IL-10R ODN PDO, have been used to effectively educate macrophages without impacting systemic immunity, fostering a more robust immune response against cancer 194 .

Activating phagocytic function of immune cells

The innate ability of immune cells to engulf and neutralize tumor cells through phagocytosis is a vital component of the body's defense mechanisms against cancer. Nanomedicine can be utilized to enhance this function, thereby improving the body's innate ability to combat cancer. One approach involves the use of nanoparticles to deliver agents that can directly enhance the phagocytic activity of macrophages. Notably, recombinant CALR/aCD47 nanoparticles have demonstrated the capacity to enhance macrophage-mediated phagocytosis, thereby bolstering antitumor effectiveness 195 . CD47, a protein frequently overexpressed on cancer cells, can suppress macrophage phagocytosis by engaging with its receptor on macrophages, signal regulatory protein alpha (SIRP α ). To counteract this, nanoparticles like vSIRP α -probe have been formulated to obstruct this interaction, promoting CD47-targeted cancer visualization and stimulating anticancer immune responses reliant on phagocytosis 196 . Additionally, the concept of programming macrophages into CAR-M1 macrophages through nanocomplexes represents a groundbreaking tactic. This has been realized through the conveyance of the CAR gene MPEI/pCAR–IFN- γ , which provides macrophages with chimeric antigen receptors capable of specifically identifying and phagocytosing tumor cells 197 . Dendrimer-based proton sponge nanocomposites exemplify another avant-garde strategy. The combination of G5AcP dendrimer with Cu(II) and DOX has illustrated the potential to curb autophagy and reprogram the TME to foster macrophage activation, leading to the efficacious eradication of tumors 198 . These advancements underscore the transformative potential of nanomedicine in invigorating the phagocytic function of immune cells and, by extension, the overall immune response against cancer.

Modulating Treg function

Tregs play a critical role in preserving immune system balance, yet their abundance within the TME. can hinder the body's antitumor defenses. Nanomedicine offers sophisticated, targeted methods to influence Treg behavior, either by reinforcing their function to strengthen tumor immunity or by diminishing their suppressive effects to boost the potency of cancer therapies. Gold nanoparticle conjugates have been employed to effectively deliver nucleic acids into Tregs, thereby modulating their function and amplifying the immune response against tumors 113 . Charge-conversion polymer nanoparticles, like SPDMCN, have been crafted for improved stability and the ability to penetrate the TME more deeply. These particles are capable of releasing their cargo, dimethylchitosan (DMC), under the acidic conditions prevalent in the TME, thereby suppressing the expression of FoxP3 and reducing the immunosuppressive impact of Tregs 114 . Aptamer-peptide chimeras, such as AptCD28-P60, have been developed to improve the precision targeting of Tregs, enabling a decrease in the required dosage while simultaneously amplifying the immune response 115 . By employing these nanotechnological strategies, researchers can more effectively manage the presence and function of Tregs in the TME, tipping the scales in favor of a more robust immune response against cancer.

Combine with traditional therapies

The fusion of nanomedicine with traditional cancer therapies has shown great potential in overcoming the constraints of current therapeutic options and improving patient outcomes. This integration combines the precision of nanoscale drug delivery systems with the established efficacy of conventional treatments, creating a synergistic approach to cancer therapy. For instance, engineered platelets displaying PD-1 have been utilized to enhance cancer immunotherapy following surgery. This method leverages the immune system's ability to target any residual cancer cells that may remain after surgical intervention 199 . The application of nanoparticle-mediated hyperthermia has been employed to deplete tumor-associated Tregs, which can significantly boost the effects of ICB cancer immunotherapy. This approach can re-energize the immune system's ability to detect and destroy cancer cells 200 . The encapsulation of chemotherapeutic agents like MTO/IND within liposomes can halt cancer progression by inducing immunogenic cell death (ICD) and inhibiting the IDO-1 pathway simultaneously. This combined therapeutic strategy can trigger a robust immune response against the tumor 201 . Normalization of the tumor's acidic microenvironment through the use of nanoparticles, such as those delivering siLdha, can improve the effectiveness of traditional therapies. This is achieved by optimizing drug delivery and enhancing the functionality of immune cells 202 . Liposomes co-encapsulating Dox and alendronate can increase the sensitivity to both chemotherapy and immunotherapy by repolarizing TAMs and activating gamma-delta T lymphocytes. This dual-targeted strategy can significantly increase the overall effectiveness of cancer treatment 203 . Chimeric peptide-engineered self-delivery nanomedicines for photodynamic therapy have been developed to eradicate primary tumor growth and reprogram M2-type TAMs to the M1-type, thereby stimulating T cell-mediated antitumor immunity. This multifaceted therapeutic approach can provide substantial improvements over traditional treatments 204 .

The integration of nanomedicine with oncolytic virus-like particles has opened new avenues for enhancing tumor immunotherapy. A recent study presents an innovative approach using an ion-enhanced nanoplatform, PolyIC@ZIF-8, which not only mimics the function of an oncolytic virus by inducing tumor cell apoptosis and recruiting T cells in a tumor antigen-dependent manner but also releases Zn2 + to further enhance T cell recruitment and activation in a tumor antigen-independent manner 205 . This strategy signifies a promising direction for the development of new immunotherapies that can effectively target and eradicate tumors. The interaction between intracellular microbiota (ITM) and TME provides a new approach for tumor immunotherapy. The presence of ITM in TME can promote the delivery of antigens to tumor cells, provide cross-antigens to promote immune cells to attack tumors, and also affect the activity of immune cells and stromal cells. This type of treatment mainly works by deleting harmful bacteria, increasing beneficial bacteria, and changing microbial metabolites 59 . The innovative approach utilizing colistin crosslinked gemcitabine micelles (CCGM) presents a significant advancement in overcoming tumor drug resistance induced by intratumoral microorganisms. The study develops a co-delivery system of an antibiotic and an anticancer drug, encapsulated within micelles that are designed to release their payload in response to the tumor's microenvironment. Specifically, the CCGM is triggered by intracellular glutathione levels within the tumor to release colistin and gemcitabine, thereby inhibiting microbial growth and reversing drug resistance 206 .

Multifaceted biomimetic systems

Incorporating biomimetic systems into nanomedicine has paved innovative paths in cancer therapy. These systems harness the body's inherent mechanisms to refine treatment efficacy 207 . Biomimetic nano-RBCs, which imitate red blood cells, have shown promise in homing in on endogenous TAMs. By doing so, they reprogram the immunosuppressive TME to enhance chemo-immunotherapy. These biomimetic systems are capable of depleting M2-type TAMs and impeding their recruitment, which in turn, escalates the impact of traditional chemotherapy and immunotherapy agents 208 . The in situ generation of ROS-responsive scaffolds, embedded with therapeutic agents like gemcitabine and checkpoint inhibitors, represents an integrated therapy approach. This method utilizes biomaterials to escalate the potency of treatments. Such scaffolds can boost the tumor's immunogenic properties and increase the levels of proinflammatory cytokines, leading to a synergistic effect when paired with immunotherapy 209 . CXCR4-targeting nanocomplexes, such as FX/paclitaxel, have been designed to enhance T-cell infiltration and support antigen presentation. These nanocomplexes work to reduce the presence of MDSCs and Tregs, thereby amplifying the effectiveness of anti-PD-L1 immunotherapy 210 . The development of multifunctional redox-responsive nanoplatforms stands as an advanced biomimetic strategy. These platforms have the potential to activate both macrophages and T cells for antitumor immunotherapy. They can be customized to respond to specific stimuli within the TME, releasing their therapeutic payloads in a controlled manner to ensure maximum therapeutic benefits ( Fig. 4 ) 211 . The strategies on nanomedicine targeting the tumor immune microenvironment are shown in Table 3 91 , 94 , 95 , 103 , 104 , 105 , 107 , 108 , 109 , 110 , 113 , 114 , 115 , 117 , 158 , 184 , 185 , 186 , 187 , 188 , 189 , 190 , 193 , 194 , 195 , 196 , 197 , 198 , 199 , 200 , 201 , 202 , 203 , 204 , 205 , 206 , 208 , 209 , 210 , 211 , 212 , 213 , 214 , 215 , 216 , 217 , 218 , 219 , 220 , 221 , 222 . Figure 4 Strategy for reversing immunosuppression in tumor microenvironment. Nanotechnology is employed to reverse immunosuppression within the tumor microenvironment, enhancing the body's natural ability to combat cancer. This strategy involves targeting immune-suppressive cells such as tumor-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs) with nanoparticles designed to deplete or reprogram these cells. Additionally, regulatory T cells (Tregs) are targeted to reduce their immunosuppressive effects. Multifunctional nanoparticles are used to deliver therapeutic agents that activate T cells, induce cancer cell death, and stimulate an immune response. By modulating the tumor microenvironment and enhancing immune cell function, this approach aims to overcome the immunosuppressive barriers that tumors often use to evade immune detection and destruction. Figure 4 Table 3 Strategies on nanomedicine targeting the tumor microenvironment. Table 3 Mechanism Delivery system Payload Immune niche Function Year Ref Inhibit recruitment Nanoparticle Siccr2 CNP-siRNA TAMs Increase the sensitivity of chemotherapy 2018 184 Nanoparticle Pccl2 LPD NP TAMs Suppresses TAMs, increases T-cell infiltration and decreases the population of M2 macrophages 2021 91 Nanoparticle M2pep/anti-VEGF siRNA M2 macrophages Silence VEGF mRNA in M2 macrophages and M2pep to increase its M2 TAMs targeting 2015 94 Nanoparticle Α-M2pep/cholsicd115 M2-type TAMs Dual-targeted delivery of cholinesterase CD115 to M2-type TAMs 2017 95 Nanoparticle DOX/ α GC PLT/DOX/ α GC NPs MDSCs Inhibit the adhesion between G-MDSCs and endothelial cells and reduce the expression of MMP-9 in G-MDSCs 2020 103 Nano-filament Curcumin Nano-cur MDSCs Relieve the tumor burden by regulating and improving the TME 2022 104 Nanosized sponge Pcss Neutrophils Inhibit most membrane receptors on neutrophils to neutralize MDSC-related cytokine effects 2020 105 Nanoparticle Bi2-WO6-NP PM-biw nps MDSCs Integrate radiation therapy, PTT and PDT to overcome the immunosuppression caused by MDSCs. 2020 218 Deplete and suppress immunosuppressive cell Conjugated polymer ALN-BSP TAMs Eliminates TAMs, inhibits angiogenesis, and restores local immune surveillance 2014 185 Conjugated polymer BLZ-945 TAMs Enhance targeting of the highly selective CSF-1R inhibitor BLZ-945 with nanocarriers 2017 186 Nanoparticle DSB PSNP Tumor-specific macrophages Mimics apoptosome-mediated phagocytosis for tumor-specific macrophage targeting 2020 187 Conjugated polymer DOX PAMB/DOX Macrophages Stepwise-responsive; TME hypoxia and high ROS for targeted delivery; PEG modification to reduce hepatic accumulation 2020 188 Nanoparticle DOX S-CM-HPAD NPs MDSCs Inhibit MDSCs to regulate tumor immune escape; improve T-cell proliferation and stimulate cytokine secretion to alter TME 2019 107 Liposome DOX-NP/Sunitinib DS@hlipo Tumor vascular epithelial cells and MDSCs Target multiple regions, including tumor vascular epithelial cells and MDSCs 2022 108 Micelle Sunitinib sunb-PM MDSCs Reduce MDSCs in TME and inhibit Stat3 and AKT signaling pathways to induce apoptosis in tumor cells 2017 109 Nanoparticle HDL nps SCARB1-targeted HDL NP therapy MDSCs Inhibited MDSC activity 2018 110 Reprogramming immunosuppressive cells Micelle Poly I:C Znpp PM/PIC TAMs Repolarize TAMs through modulating the expression of ROS and STAT3 2018 189 Nanoparticle AS/IKK β siRNA ST-AS&Si M2 macrophages Codelivery of M2-targeted IKK β siRNA and STAT6 inhibitor AS; pH-sensitive for precise drug release 2020 117 Nanoparticle IRF5/IKK β mRNA IRF5/IKK β mRNA nps Macrophages Provide with genes encoding master regulators of macrophage polarization. 2019 190 Liposome GEF/VOR TLGV TAMs Repolarize TAMs and trigger ROS/MSRA/EGFRT790 M axis for drug-resistant NSCLC 2017 193 Nanoparticle Cpg ODN/anti-IL-10 ODN/anti-IL-10R ODN PDO TAMs Delivery of ODN to TAMs effectively re-educated macrophages without affecting systemic immunity 2012 194 2D stanene-based nanosheets (STNSP) Β -Elemene TAMs Overcome immunosuppression and enhance chemo-immunotherapy 2023 158 Nanoparticle CpG ODNs MCMC/HA/PS/ODN NPs Macrophages Dual-targeting delivery system enhanced secretion of proinflammatory cytokines and shifted to M1 2017 222 Nanocomplex CpG ONDs GGIC Macrophages Provide synergistic photothermal and immunological effects under NIR 2014 217 Microparticles SR-B1 targeting peptide/P5091 Brain macrophages Cross the BBB and target M2 to reprogram it 2023 221 Hydrogel scaffold KN93 MRK hydrogel Tumor-associated macrophages Provide a synergistic tumor suppression effect against through reshaping TMEs. 2020 195 Injectable hydrogel PP2/R848 PR-Gel Tumor tissue Improve the drug accumulation at the tumor tissue and enable more enduring drug level 2021 216 Engineered-TAA Telratolimod telratolimod@adipcyt TAMs TAA are engineered to promote the polarization of TAMs to M1 2023 220 Milk exosome (MEXO) system 7D12-MEXO-M2pep-siPDL1 M2 macrophages Inducing reprogramming of M2-type TAMs to M1-type macrophages 2024 215 Engineered extracellular vesicles AIE-active photosensitizers Macrophages Improving tumor immunosuppressive microenvironment and overcoming immune escape through photodynamic therapy (PDT) 2024 214 Poly(2-alkyl cyanoacrylate) (PACA) nanoparticles Cabazitaxel (CBZ) Myeloid cells, especially macrophages Enhanced effect of drug-loaded PEBCA variants compared with free drug and PEHCA NPs, contributing to an inflammatory, immune activated tumor microenvironment 2024 213 Cyclodextrin-modified poly(D,L-lactide- co -glycolide) (PLGA) nanoparticles R848 TAMs Promoting M1 polarization of TAMs and enhancing the efficacy of colon cancer treatment 2024 212 Activate phagocytic function Nanoparticle Recombinant CALR/aCD47 Macrophages Enhance the phagocytosis and improved antitumor efficacy 2020 219 Activatable prob vSIRP α -probe Macrophages Facilitate CD47-targeted cancer imaging and elicit anticancer immune responses depending on phagocytosis 2020 196 Nano-complexes CAR gene MPEI/pCAR-IFN-γ Macrophages Program macrophages into CAR-M1 macrophages displaying enhanced cancer-directed phagocytosis 2021 197 Dendrimer-based proton sponge nanocomposites Proton sponge g5acp dendrimer, Cu(II), and DOX TAMs Inhibiting autophagy and reconstructing TME toward macrophage activation for effective tumor elimination 2024 198 Enhancing Treg efficiently Nanoparticle LNA/NLS AuNP-LNA-NLS Tregs Import nucleic acids into Tregs efficiently 2016 113 Nanomodulator DMC SPDMCN Tregs Charge conversion improved stability and tumor infiltration, low-pH triggered the release of DMC to inhibit FoxP3 expression 2021 114 Aptamer-peptide chimera Aptcd28-P60 Tregs Enhance targeting to reduce dose and strengthen patient immunity 2016 115 Combine with traditional therapies Engineered platelet PD-1 – Enhance cancer immunotherapy after surgery 2018 199 Nanoparticle Ionps Tregs Deplete Tregs and collaboratively enhance ICB cancer immunotherapy 2020 200 Liposome MTO/IND – Inhibit cancer progression in model mice through concurrent induction of ICD and inhibition of the Ido-1 pathway 2020 201 Nanoparticle siLdha – Normalize tumor acidic microenvironment 2019 202 Liposomes Doxorubicin (Dox) and alendronate (Ald) TAMs and gamma-delta T lymphocytes Enhance the sensitivity of chemotherapy and immunotherapy by repolarizing TAMs and activating gamma-delta T lymphocytes 2023 203 Chimeric peptide-engineered self-delivery nanomedicine Photosensitizer chlorine e6 (Ce6) and TLR7/8 agonist imiquimod (R837) TAMs Eradication of primary tumor growth through PDT, polarization of M2-type TAMs to M1-type, activation of T cell antitumor immunity 2023 204 Oncolytic virus like Polyic and Zn 2+ T Cells Induced tumor cell apoptosis; enhanced T cell-mediated antitumor response 2022 205 Nano-micelle Colistin and gemcitabine Tumor microbe Intracellular glutathione triggers the release of colistin and gemcitabine, inhibiting tumor microbe growth and eliminating drug resistance. 2022 206 More than one biomimetic system Biomimetic cell DOX/O2 V [162]@DOX TAMs Deplete M2-type TAMs and reduce the recruitment of TAMs 2021 208 Scaffold Apdl1/GEM – Boost tumor immunogenicity and upregulate expression of proinflammatory factors 2018 209 Nanocomplex FX/paclitaxel T Cells Increase T-cell infiltration; to promote antigen presentation and decrease the number of MDSCs/Tregs 2020 210 Nanoparticle Motolimod/catalase/siPD-L1 TAMs, MDSCs, T cells Combined immunotherapy targeting TAMs, MDSCs and T cells to activate both innate and adaptive immunity 2023 211 TAAs, tumor-associated antigens; M2 macrophages, M2-type tumor-associated macrophages; VEGF mRNA, vascular endothelial growth factor messenger RNA; M2pep, M2-targeting peptide; TAMs, tumor-associated macrophages; CSF-1R, colony-stimulating factor 1 receptor; ROS, reactive oxygen species; TME, tumor microenvironment; PEG, polyethylene glycol; IKK β , inhibitor of nuclear factor kappa-b kinase beta; ODN, oligodeoxynucleotide; NIR, near-infrared; BBB, blood–brain barrier; MDSCs, myeloid-derived suppressor cells; MMP-9, matrix metalloproteinase-9; PTT, photothermal therapy; PDT, photodynamic therapy; ICD, immunogenic cell death; IDO-1, indoleamine 2,3-dioxygenase 1; DOX, doxorubicin; ATRA, all- trans retinoic acid; IL-2, interleukin-2; Tregs, regulatory t cells; DMC, dimethylchitosan; FoxP3, forkhead box p3.

Figure 4 Strategy for reversing immunosuppression in tumor microenvironment. Nanotechnology is employed to reverse immunosuppression within the tumor microenvironment, enhancing t…
Figure 4 Strategy for reversing immunosuppression in tumor microenvironment. Nanotechnology is employed to reverse immunosuppression within the tumor microenvironment, enhancing the body's natural ability to combat cancer. This strategy involves targeting immune-suppressive cells such as tumor-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs) with nanoparticles designed to deplete or reprogram these cells. Additionally, regulatory T cells (Tregs) are targeted to reduce their immunosuppressive effects. Multifunctional nanoparticles are used to deliver therapeutic agents that activate T cells, induce cancer cell death, and stimulate an immune response. By modulating the tumor microenvironment and enhancing immune cell function, this approach aims to overcome the immunosuppressive barriers that tumors often use to evade immune detection and destruction. Figure 4

Table 3
Strategies on nanomedicine targeting the tumor microenvironment.
TAAs, tumor-associated antigens; M2 macrophages, M2-type tumor-associated macrophages; VEGF mRNA, vascular endothelial growth factor messenger RNA; M2pep, M2-targeting peptide; TAMs, tumor-associated macrophages; CSF-1R, colony-stimulating factor 1 receptor; ROS, reactive oxygen species; TME, tumor microenvironment; PEG, polyethylene glycol; IKK β , inhibitor of nuclear factor kappa-b kinase beta; ODN, oligodeoxynucleotide; NIR, near-infrared; BBB, blood–brain barrier; MDSCs, myeloid-derived suppressor cells; MMP-9, matrix metalloproteinase-9; PTT, photothermal therapy; PDT, photodynamic therapy; ICD, immunogenic cell death; IDO-1, indoleamine 2,3-dioxygenase 1; DOX, doxorubicin; ATRA, all- trans retinoic acid; IL-2, interleukin-2; Tregs, regulatory t cells; DMC, dimethylchitosan; FoxP3, forkhead box p3.

MechanismDelivery systemPayloadImmune nicheFunctionYearRef
Inhibit recruitmentNanoparticleSiccr2 CNP-siRNATAMsIncrease the sensitivity of chemotherapy2018184
NanoparticlePccl2 LPD NPTAMsSuppresses TAMs, increases T-cell infiltration and decreases the population of M2 macrophages202191
NanoparticleM2pep/anti-VEGF siRNAM2 macrophagesSilence VEGF mRNA in M2 macrophages and M2pep to increase its M2 TAMs targeting201594
NanoparticleΑ-M2pep/cholsicd115M2-type TAMsDual-targeted delivery of cholinesterase CD115 to M2-type TAMs201795
NanoparticleDOX/ α GC PLT/DOX/ α GC NPsMDSCsInhibit the adhesion between G-MDSCs and endothelial cells and reduce the expression of MMP-9 in G-MDSCs2020103
Nano-filamentCurcumin Nano-curMDSCsRelieve the tumor burden by regulating and improving the TME2022104
Nanosized spongePcssNeutrophilsInhibit most membrane receptors on neutrophils to neutralize MDSC-related cytokine effects2020105
NanoparticleBi2-WO6-NP PM-biw npsMDSCsIntegrate radiation therapy, PTT and PDT to overcome the immunosuppression caused by MDSCs.2020218
Deplete and suppress immunosuppressive cellConjugated polymerALN-BSPTAMsEliminates TAMs, inhibits angiogenesis, and restores local immune surveillance2014185
Conjugated polymerBLZ-945TAMsEnhance targeting of the highly selective CSF-1R inhibitor BLZ-945 with nanocarriers2017186
NanoparticleDSB PSNPTumor-specific macrophagesMimics apoptosome-mediated phagocytosis for tumor-specific macrophage targeting2020187
Conjugated polymerDOX PAMB/DOXMacrophagesStepwise-responsive; TME hypoxia and high ROS for targeted delivery; PEG modification to reduce hepatic accumulation2020188
NanoparticleDOX S-CM-HPAD NPsMDSCsInhibit MDSCs to regulate tumor immune escape; improve T-cell proliferation and stimulate cytokine secretion to alter TME2019107
LiposomeDOX-NP/Sunitinib DS@hlipoTumor vascular epithelial cells and MDSCsTarget multiple regions, including tumor vascular epithelial cells and MDSCs2022108
MicelleSunitinib sunb-PMMDSCsReduce MDSCs in TME and inhibit Stat3 and AKT signaling pathways to induce apoptosis in tumor cells2017109
NanoparticleHDL nps SCARB1-targeted HDL NP therapyMDSCsInhibited MDSC activity2018110
Reprogramming immunosuppressive cellsMicellePoly I:C Znpp PM/PICTAMsRepolarize TAMs through modulating the expression of ROS and STAT32018189
NanoparticleAS/IKK β siRNA ST-AS&SiM2 macrophagesCodelivery of M2-targeted IKK β siRNA and STAT6 inhibitor AS; pH-sensitive for precise drug release2020117
NanoparticleIRF5/IKK β mRNA IRF5/IKK β mRNA npsMacrophagesProvide with genes encoding master regulators of macrophage polarization.2019190
LiposomeGEF/VOR TLGVTAMsRepolarize TAMs and trigger ROS/MSRA/EGFRT790 M axis for drug-resistant NSCLC2017193
NanoparticleCpg ODN/anti-IL-10 ODN/anti-IL-10R ODN PDOTAMsDelivery of ODN to TAMs effectively re-educated macrophages without affecting systemic immunity2012194
2D stanene-based nanosheets (STNSP)Β -ElemeneTAMsOvercome immunosuppression and enhance chemo-immunotherapy2023158
NanoparticleCpG ODNs MCMC/HA/PS/ODN NPsMacrophagesDual-targeting delivery system enhanced secretion of proinflammatory cytokines and shifted to M12017222
NanocomplexCpG ONDs GGICMacrophagesProvide synergistic photothermal and immunological effects under NIR2014217
MicroparticlesSR-B1 targeting peptide/P5091Brain macrophagesCross the BBB and target M2 to reprogram it2023221
Hydrogel scaffoldKN93 MRK hydrogelTumor-associated macrophagesProvide a synergistic tumor suppression effect against through reshaping TMEs.2020195
Injectable hydrogelPP2/R848 PR-GelTumor tissueImprove the drug accumulation at the tumor tissue and enable more enduring drug level2021216
Engineered-TAATelratolimod telratolimod@adipcytTAMsTAA are engineered to promote the polarization of TAMs to M12023220
Milk exosome (MEXO) system7D12-MEXO-M2pep-siPDL1M2 macrophagesInducing reprogramming of M2-type TAMs to M1-type macrophages2024215
Engineered extracellular vesiclesAIE-active photosensitizersMacrophagesImproving tumor immunosuppressive microenvironment and overcoming immune escape through photodynamic therapy (PDT)2024214
Poly(2-alkyl cyanoacrylate) (PACA) nanoparticlesCabazitaxel (CBZ)Myeloid cells, especially macrophagesEnhanced effect of drug-loaded PEBCA variants compared with free drug and PEHCA NPs, contributing to an inflammatory, immune activated tumor microenvironment2024213
Cyclodextrin-modified poly(D,L-lactide- co -glycolide) (PLGA) nanoparticlesR848TAMsPromoting M1 polarization of TAMs and enhancing the efficacy of colon cancer treatment2024212
Activate phagocytic functionNanoparticleRecombinant CALR/aCD47MacrophagesEnhance the phagocytosis and improved antitumor efficacy2020219
Activatable probvSIRP α -probeMacrophagesFacilitate CD47-targeted cancer imaging and elicit anticancer immune responses depending on phagocytosis2020196
Nano-complexesCAR gene MPEI/pCAR-IFN-γMacrophagesProgram macrophages into CAR-M1 macrophages displaying enhanced cancer-directed phagocytosis2021197
Dendrimer-based proton sponge nanocompositesProton sponge g5acp dendrimer, Cu(II), and DOXTAMsInhibiting autophagy and reconstructing TME toward macrophage activation for effective tumor elimination2024198
Enhancing Treg efficientlyNanoparticleLNA/NLS AuNP-LNA-NLSTregsImport nucleic acids into Tregs efficiently2016113
NanomodulatorDMC SPDMCNTregsCharge conversion improved stability and tumor infiltration, low-pH triggered the release of DMC to inhibit FoxP3 expression2021114
Aptamer-peptide chimeraAptcd28-P60TregsEnhance targeting to reduce dose and strengthen patient immunity2016115
Combine with traditional therapiesEngineered plateletPD-1–Enhance cancer immunotherapy after surgery2018199
NanoparticleIonpsTregsDeplete Tregs and collaboratively enhance ICB cancer immunotherapy2020200
LiposomeMTO/IND–Inhibit cancer progression in model mice through concurrent induction of ICD and inhibition of the Ido-1 pathway2020201
NanoparticlesiLdha–Normalize tumor acidic microenvironment2019202
LiposomesDoxorubicin (Dox) and alendronate (Ald)TAMs and gamma-delta T lymphocytesEnhance the sensitivity of chemotherapy and immunotherapy by repolarizing TAMs and activating gamma-delta T lymphocytes2023203
Chimeric peptide-engineered self-delivery nanomedicinePhotosensitizer chlorine e6 (Ce6) and TLR7/8 agonist imiquimod (R837)TAMsEradication of primary tumor growth through PDT, polarization of M2-type TAMs to M1-type, activation of T cell antitumor immunity2023204
Oncolytic virus likePolyic and Zn 2+T CellsInduced tumor cell apoptosis; enhanced T cell-mediated antitumor response2022205
Nano-micelleColistin and gemcitabineTumor microbeIntracellular glutathione triggers the release of colistin and gemcitabine, inhibiting tumor microbe growth and eliminating drug resistance.2022206
More than one biomimetic systemBiomimetic cellDOX/O2 V [162]@DOXTAMsDeplete M2-type TAMs and reduce the recruitment of TAMs2021208
ScaffoldApdl1/GEM–Boost tumor immunogenicity and upregulate expression of proinflammatory factors2018209
NanocomplexFX/paclitaxelT CellsIncrease T-cell infiltration; to promote antigen presentation and decrease the number of MDSCs/Tregs2020210
NanoparticleMotolimod/catalase/siPD-L1TAMs, MDSCs, T cellsCombined immunotherapy targeting TAMs, MDSCs and T cells to activate both innate and adaptive immunity2023211

Future directions of nanomedicine in immunotherapy

Development of multifunctional nanoplatforms

The progression of nanomedicine is characterized by a significant trend towards the development of sophisticated multifunctional nanoplatforms, which are set to revolutionize cancer therapy 223 , 224 . These cutting-edge platforms are expected to lead a therapeutic transformation by overcoming the limitations of conventional single-agent treatments and adopting integrated systems that can perform simultaneous diagnosis, drug delivery, and therapeutic intervention. The multifunctionality of these nanoplatforms will be achieved through the strategic integration of various components, each playing a distinct role in the therapeutic sequence. For instance, the integration of imaging agents into nanoplatforms allows for the real-time tracking of therapeutic outcomes 225 , 226 . This feature empowers medical professionals to promptly assess the effectiveness of treatments and make informed decisions on patient care.

Moreover, these nanoplatforms are crafted to ensure the precise delivery of a wide range of therapeutic agents. This includes the targeted delivery of traditional chemotherapeutic agents to cancer cells, thus minimizing harm to healthy cells. Additionally, the incorporation of immune modulators is intended to strengthen the patient's immune response, enhancing its capacity to identify and combat cancer cells more effectively 211 . The targeted delivery of immune modulators could counteract the immune evasion strategies used by tumors, thereby reinforcing the body's natural defenses against cancer. Furthermore, some researchers have developed a light-triggered sequential delivery strategy that has shown great promise in multimodal cancer therapy targeting multiple aspects, including the delivery of DOX, photosensitizer porphyrin-phospholipid (PoP), and sunitinib, in distinct spatial locations within the tumor microenvironment 108 .

The emergence of theranostics

Theranostics marks a pivotal fusion of diagnostic and therapeutic modalities, ushering in a new age of personalized medicine 227 . This holistic strategy facilitates a simultaneous approach to cancer treatment and diagnosis, supplying vital data for crafting individualized patient care plans. The amalgamation of these two functionalities within NPs is a cutting-edge advancement, presenting considerable promise for the advancement of oncology care. Theranostic NPs are meticulously designed to traverse biological barriers and target tumor immune microenvironments with precision. They are capable of being laden with a range of therapeutic agents, including chemotherapy drugs, immunotherapies, or gene-editing technologies, all intended for direct delivery to cancerous cells. Simultaneously, these NPs can also be embedded with diagnostic markers that facilitate the assessment of treatment efficacy and the genetic and environmental profiling of tumors 111 , 195 .

The diagnostic component of theranostic nanoparticles often includes imaging agents that are traceable through a variety of imaging techniques such as magnetic resonance imaging (MRI) 228 , positron emission tomography (PET) 229 , or fluorescence imaging 230 . These agents provide real-time imaging of the tumor and the therapeutic agents’ distribution, thus allowing for the accurate monitoring of drug delivery and treatment results. Moreover, theranostic nanoparticles can be tailored to react to specific stimuli present in the tumor immune microenvironment. For instance, they can be engineered to discharge their therapeutic cargo upon encountering the acidic pH 231 or the hypoxic conditions characteristic of tumors 232 . This responsive drug delivery system enhances the precision and potency of the treatment while minimizing the impact on healthy tissues. A remarkable feature of theranostic nanoparticles is their ability to map the genetic makeup of tumors. By incorporating molecular probes or nucleic acid sensors, these nanoparticles are able to identify specific genetic anomalies or expression profiles within the tumor. Such insights are crucial for the selection of targeted therapeutics and the development of personalized treatment plans 233 .

Precision engineering of nanoparticles

The advancement of nanomedicine is significantly contingent upon the precision engineering of NPs, a pivotal strategy to enhance the effectiveness of cancer treatments. Central to this strategy is the meticulous optimization of NP dimensions. Nanoparticles with diameters ranging from 10 to 200 nm can effectively accumulate in tumors via the enhanced permeability and retention (EPR) effect 234 . Nonetheless, to facilitate deeper penetration into the tumor mass, smaller nanoparticles may offer benefits 235 . Current research is dedicated to pinpointing the ideal size that strikes a balance between efficient tumor accumulation and the ability to traverse compact tumor tissues. The shape of nanoparticles is another crucial factor influencing their interaction with biological systems. Rod-shaped or discoidal NPs have demonstrated superior cellular uptake and tissue penetration compared to spherical NPs 236 . This superior penetration is credited to their ability to navigate more readily between cells. Current research is investigating the effects of various NP shapes on biodistribution, cellular internalization, and therapeutic efficacy.

The surface charge of nanoparticles is a tunable feature that significantly influences their engagement with the TME 237 . Cationic NPs can more effectively interact with the negatively charged cell membranes, potentially boosting cellular uptake. However, this may also lead to increased clearance by the reticuloendothelial system 238 . Consequently, the formulation of methods to mask the positive charge under normal physiological conditions, while enabling charge exposure in the acidic TME, is a burgeoning field of research. Additionally, the decoration of NP surfaces with targeting ligands, such as antibodies, peptides, or small molecules, promotes the active targeting of specific cells within the TME. This targeted approach can enhance binding and uptake by the desired cell population, thus elevating the therapeutic index of the treatment 87 . Moreover, the integration of stimuli-responsive linkers that trigger the release of therapeutic agents in response to TME-specific stimuli, like pH fluctuations or enzymatic activity, is a promising strategy to enhance precision medicine 202 .

Application of nanotechnology in immune cell engineering

The convergence of nanotechnology and immune cell engineering is paving innovative avenues in the field of oncology 208 . Leveraging the unique properties of nanomaterials, scientists are developing strategies to enhance the precision targeting of tumors by immune cells, including T lymphocytes and NK cells 239 . A significant application in this domain is the use of nanotechnology for the genetic modification of immune cells. Techniques such as CRISPR/Cas9 can be combined with nanocarriers to precisely edit the genomes of T or NK cells, endowing them with improved abilities to detect and destroy cancerous cells 240 . These genetically modified immune cells, when equipped with nanomaterials, can serve as vectors for the targeted delivery of therapeutic agents to tumor sites 241 , 242 . Another technique was the development of the nanovaccines 243 . Recent research utilizes multi-lamellar RNA lipid particle aggregates that can significantly enhance the immunogenicity of tumor mRNA antigens, as demonstrated in both canine and human glioblastoma patients ( Fig. 5 ) 244 . Figure 5 Multi-lamellar RNA lipid particle aggregates enhance the payload packaging and immunogenicity of tumor mRNA antigens. (A) The illustration of the Mechanism of multi-lamellar RNA lipid particle in tumor microenvironment. (B) NanoSight size distributions. (C) C57Bl/6 mice bearing pulmonary B16F0 melanomas treated with anti-PD-L1 mAbs, with or without B16F0 tumor-derived RNA-LPAs. (D) Serum from canines was obtained for analysis of IFN- α , CCL2, monocyte count, lymphocyte count, and temperature in dogs. (E) Heatmaps displaying differential gene expression of antigen presentation in human. (F) Kaplan-Meier curve of receiving RNA-LPA compared with historical control of canines receiving supportive care. Reprinted with the permission from Ref. 203 . Copyright © 2024 CellPress. Figure 5

Figure 5 Multi-lamellar RNA lipid particle aggregates enhance the payload packaging and immunogenicity of tumor mRNA antigens. (A) The illustration of the Mechanism of multi-lamel…
Figure 5 Multi-lamellar RNA lipid particle aggregates enhance the payload packaging and immunogenicity of tumor mRNA antigens. (A) The illustration of the Mechanism of multi-lamellar RNA lipid particle in tumor microenvironment. (B) NanoSight size distributions. (C) C57Bl/6 mice bearing pulmonary B16F0 melanomas treated with anti-PD-L1 mAbs, with or without B16F0 tumor-derived RNA-LPAs. (D) Serum from canines was obtained for analysis of IFN- α , CCL2, monocyte count, lymphocyte count, and temperature in dogs. (E) Heatmaps displaying differential gene expression of antigen presentation in human. (F) Kaplan-Meier curve of receiving RNA-LPA compared with historical control of canines receiving supportive care. Reprinted with the permission from Ref. 203 . Copyright © 2024 CellPress. Figure 5

Moreover, nanotechnology is being utilized to fabricate advanced scaffolds and substrata that promote the proliferation and activation of immune cells 245 . These biomaterials can be designed to provide the necessary signals and environmental conditions that support the growth and maturation of immune cells, thereby increasing their effectiveness in targeting tumors. Additionally, nanoparticles are being investigated for the delivery of immunomodulatory agents. They can be engineered to encapsulate cytokines, immune checkpoint inhibitors, or other immunoenhancing substances, and deliver them with precision to the tumor immune microenvironment 246 . This targeted delivery may help to modulate the local immune response, overcoming the immunosuppressive barriers posed by the tumor and boosting the potency of the engineered immune cells.

Targeted drug delivery to metastatic sites

Navigating the complexities of metastatic tumor management in oncology is a formidable task, compounded by their varied characteristics and propensity for widespread dissemination. As we venture into the future of nanomedicine, a significant focus will be on developing targeted strategies that can preferentially direct therapeutic agents to these metastatic sites 243 . This will involve the use of sophisticated homing devices, which are designed to navigate the intricate and often elusive pathways that characterize metastatic spread. One innovative approach is the development of nanovaccines that specifically target lymph nodes, which are common sites for metastatic spread and crucial in the initiation of systemic immune responses 247 . These nanovaccines can be engineered to not only deliver therapeutic agents but also to activate the immune system in a targeted manner. By capitalizing on the lymphatic system's inherent cell and molecule trafficking, these nanovaccines can concentrate at metastatic locales, thereby amplifying the local therapeutic and immunostimulatory agent density.

The construction of nanovaccines is underpinned by the application of biomaterials and surface engineering strategies that facilitate the precise targeting of receptors or antigens present on metastatic cells or within the tumor immune microenvironment. Moreover, the integration of stimuli-responsive components paves the way for the conditional release of therapeutic agents, triggered by localized cues at the metastatic site, such as pH alterations or the presence of specific enzymatic activities 248 . Additionally, the convergence of nanotechnology with immune cell engineering promises a synergistic enhancement between cellular immunotherapy and nanoscale drug delivery. Immune cells, genetically modified and fortified with nanomaterials, can be navigated to metastatic sites where they can interact with indigenous immune cells, thereby aiding in the annihilation of tumor cells 111 , 208 . The forthcoming horizon of nanomedicine targeting metastatic sites is poised to embrace the incorporation of cutting-edge imaging technologies. These will serve to monitor the biodistribution and therapeutic efficacy of nanovaccines in real-time, enabling the dynamic recalibration of treatment approaches. Such adaptations will ensure the optimization of therapeutic agent delivery, thereby striving to achieve the most favorable outcomes for individuals confronting metastatic disease.

Overcoming drug resistance

Drug resistance is a formidable barrier to the effectiveness of cancer therapies, as tumor cells often develop ways to counteract the lethal effects of chemotherapeutic agents 249 . The advent of nanotechnology offers innovative tactics to tackle this issue, with nanoparticles being meticulously engineered to target and overcome drug resistance mechanisms. One such approach involves the simultaneous delivery of chemotherapeutic drugs along with substances that can dismantle resistance. These nanoparticles can be expertly designed to encapsulate both the therapeutic medication and molecules that counteract the molecular foundations of drug resistance 250 . These molecules could include inhibitors of efflux pumps, such as P-glycoprotein, which are often associated with resistance, or agents that disrupt the survival pathways activated in treatment-resistant cancer cells.

Moreover, the application of nanotechnology in molecular targeting has given rise to immunoliposomes 251 . These are specialized liposomes linked with antibodies that bind specifically to receptors overexpressed on cancer cells. The interaction between the antibody and the antileukocyte antibody promotes the internalization of the liposome, resulting in the intracellular release of the drug and potentially circumventing efflux pump mechanisms 252 . Additionally, the deployment of nanocarriers for the concurrent delivery of drugs and siRNA or gene therapies has become an influential method for regulating the expression of drug resistance genes 253 . By suppressing the expression of genes that drive drug expulsion or trigger survival pathways, this method can re-sensitize resistant cancer cells to chemotherapy ( Fig. 6 ). Figure 6 The future of nanoparticles in tumor microenvironment. Multifunctional nanoplatforms means integrating various therapeutic agents and imaging modalities onto a single particle, enabling a synergistic attack on cancer cells and real-time monitoring of treatment efficacy. Theranostics means advancing to a new level, where nanoparticles not only treat but also diagnose, providing a comprehensive tool for personalized medicine. Targeting metastasis means involving the development of nanoparticles capable of homing in on cancer cells that have spread to distant organs, such as the liver, lung, and intestine, thereby tackling one of the most aggressive aspects of cancer. Overcoming resistance means designing nanoparticles that can bypass or reverse the mechanisms that tumors use to evade therapeutic agents, ensuring sustained treatment effectiveness. Precision engineering means refining the size, shape, and surface properties of nanoparticles to maximize their interaction with target cells and minimize side effects on healthy tissues. Finally, immune cell engineering means harnessing the power of the immune system by designing nanoparticles that can activate and direct immune cells like T cells and macrophages to attack cancer cells more effectively. Figure 6

Figure 6 The future of nanoparticles in tumor microenvironment. Multifunctional nanoplatforms means integrating various therapeutic agents and imaging modalities onto a single par…
Figure 6 The future of nanoparticles in tumor microenvironment. Multifunctional nanoplatforms means integrating various therapeutic agents and imaging modalities onto a single particle, enabling a synergistic attack on cancer cells and real-time monitoring of treatment efficacy. Theranostics means advancing to a new level, where nanoparticles not only treat but also diagnose, providing a comprehensive tool for personalized medicine. Targeting metastasis means involving the development of nanoparticles capable of homing in on cancer cells that have spread to distant organs, such as the liver, lung, and intestine, thereby tackling one of the most aggressive aspects of cancer. Overcoming resistance means designing nanoparticles that can bypass or reverse the mechanisms that tumors use to evade therapeutic agents, ensuring sustained treatment effectiveness. Precision engineering means refining the size, shape, and surface properties of nanoparticles to maximize their interaction with target cells and minimize side effects on healthy tissues. Finally, immune cell engineering means harnessing the power of the immune system by designing nanoparticles that can activate and direct immune cells like T cells and macrophages to attack cancer cells more effectively. Figure 6

Nanoformulations from preclinical studies to clinical approval

The translation of nanomedicine from bench to bedside is fraught with intricacies and challenges. Ensuring the safe and effective transition of these therapies requires meticulous attention to several key issues. A primary challenge is the development of nanocarriers that are more targeted and less toxic. The design must enable specific targeting of disease sites while minimizing off-target effects and toxicity to healthy tissues, necessitating a profound understanding of the interactions between nanocarriers and biological systems, including immune responses and biodistribution 254 .

The elevated production costs also erect a significant barrier to clinical adoption. The creation and fabrication of nanocarriers frequently entail sophisticated procedures that necessitate state-of-the-art equipment and materials 255 . Achieving scalability while maintaining quality and affordability is a formidable challenge. Additionally, the establishment of quality control measures and standardized protocols further increases the cost and complexity of bringing these therapies to market 256 . Navigating the regulatory approval processes is another intricate hurdle for the clinical integration of nanomedicines. The regulatory frameworks for nanomedicines are in a state of evolution, necessitating clearer guidelines and standards for their safety, efficacy, and manufacturing 257 . The long-term effects of nanomaterials on the human body remain incompletely understood. There is a prevalent negative perception of nano-level waste, concerning both human health and the environment 258 , 259 . While nanomedicines hold significant therapeutic potential, concerns exist regarding their long-term safety profiles. The potential for accumulation, toxicity, and unforeseen interactions with biological systems must be thoroughly investigated through preclinical and clinical studies. A comprehensive grasp of the biodistribution and clearance mechanisms of nanocarriers is vital for safety assessment and for crafting nanomedicines with superior pharmacokinetics.

Beyond these challenges, additional factors complicate the clinical translation of nanomedicines. These include the need for more robust preclinical models that accurately replicate human diseases 260 , the development of sensitive and specific analytical techniques for tracking nanomedicines in vivo 261 , and a deeper comprehension of the mechanisms by which nanoparticles can enhance drug delivery and therapeutic outcomes 262 .

Conclusions

The integration of nanomedicine with cancer immunotherapy has shown remarkable progress, as demonstrated by the ability to effectively alter the TIM and enhance treatment outcomes. This article reviews the strategic application of nanotechnology to target and reshape the intricate cellular and molecular components of the TIM. Notably, the incorporation of nanomedicine in boosting immunotherapy has been illustrated through the use of liposomal doxorubicin (Doxil®), which has shown increased safety and tolerability in clinical applications, and has the potential to be combined with traditional chemotherapy and immune checkpoint inhibitors 169 , 263 , 264 . Furthermore, paclitaxel protein-bound particles, such as Abraxane®, have been formulated using innovative nanoplatforms, reducing solvent-related side effects and improving drug delivery and efficacy 265 , 266 , 267 . The emergence of theranostic nanoparticles marks a significant advancement in personalized medicine, allowing for the simultaneous performance of diagnostics and therapeutics. These nanoparticles, equipped with various imaging agents and therapeutic payloads, have been shown to increase the accuracy of cancer treatments and offer insights into the effectiveness of therapies 223 , 227 , 230 . Precision engineering of nanoparticles is also highlighted as a key strategy for optimizing cancer treatments. By adjusting the size, shape, and surface characteristics of nanoparticles, researchers have managed to improve their biodistribution, cellular uptake, and overall therapeutic efficacy 234 , 235 , 236 .

Despite the promise of nanomedicine in clinical translation, challenges remain, including the need for more targeted and less toxic nanocarriers, the high costs of production, and the dynamic regulatory environment 257 . It is also essential to ensure the safety and biocompatibility of nanomaterials, with ongoing studies focusing on their biodistribution, clearance, and long-term effects within the human body 268 , 269 , 270 . The future of nanomedicine in cancer therapy holds immense potential. The ongoing development of multifunctional nanoplatforms, the incorporation of theranostics into clinical practice, and the precision engineering of nanoparticles are expected to push the boundaries of personalized and effective cancer treatments. However, to realize this potential, it is necessary to overcome the current challenges and deepen the understanding of the intricate interactions between nanomedicines and biological systems.

Authors contributions

Nan Lin: Conceptualization, Writing – original draft. Keqin Tan: Conceptualization, Writing – original draft. Yuhao Wei: Data curation, Writing – original draft, Conceptualization. Songtao Xie: Writing – review & editing, Resources. Jiaming Liu: Writing – review & editing. Xuelei Ma: Writing – original draft, Conceptualization, Writing – review & editing.

Conflicts of interest

The authors have no conflicts of interest to declare.

References

1 Elzoghby A.O. Samir O. Emam H.E. Soliman A. Abdelgalil R.M. Elmorshedy Y.M. Engineering nanomedicines for immunogenic eradication of cancer cells: recent trends and synergistic approaches Acta Pharm Sin B 14 2024 2475 2504 38828160 10.1016/j.apsb.2024.03.022 PMC11143780

2 Li Y. Chen W. Kang Y. Zhen X. Zhou Z. Liu C. Nanosensitizer-mediated augmentation of sonodynamic therapy efficacy and antitumor immunity Nat Commun 14 2023 6973 37914681 10.1038/s41467-023-42509-7 PMC10620173

3 Liao M. Yao D. Wu L. Luo C. Wang Z. Zhang J. Targeting the Warburg effect: a revisited perspective from molecular mechanisms to traditional and innovative therapeutic strategies in cancer Acta Pharm Sin B 14 2024 953 1008 38487001 10.1016/j.apsb.2023.12.003 PMC10935242

4 Jin Y. Huang Y. Ren H. Huang H. Lai C. Wang W. Nano-enhanced immunotherapy: targeting the immunosuppressive tumor microenvironment Biomaterials 305 2024 122463 10.1016/j.biomaterials.2023.122463 38232643

5 Sun B. Hyun H. Li L.T. Wang A.Z. Harnessing nanomedicine to overcome the immunosuppressive tumor microenvironment Acta Pharmacol Sin 41 2020 970 985 32424240 10.1038/s41401-020-0424-4 PMC7470849

6 Wang J. Li Y. Nie G. Multifunctional biomolecule nanostructures for cancer therapy Nat Rev Mater 6 2021 766 783 34026278 10.1038/s41578-021-00315-x PMC8132739

7 Hanahan D. Weinberg R.A. Hallmarks of cancer: the next generation Cell 144 2011 646 674 21376230 10.1016/j.cell.2011.02.013

8 Quail D.F. Joyce J.A. Microenvironmental regulation of tumor progression and metastasis Nat Med 19 2013 1423 1437 24202395 10.1038/nm.3394 PMC3954707

9 Binnewies M. Roberts E.W. Kersten K. Chan V. Fearon D.F. Merad M. Understanding the tumor immune microenvironment (TIME) for effective therapy Nat Med 24 2018 541 550 29686425 10.1038/s41591-018-0014-x PMC5998822

10 Coulie P.G. Van den Eynde B.J. van der Bruggen P. Boon T. Tumour antigens recognized by T lymphocytes: at the core of cancer immunotherapy Nat Rev Cancer 14 2014 135 146 24457417 10.1038/nrc3670

11 Broz M.L. Binnewies M. Boldajipour B. Nelson A.E. Pollack J.L. Erle D.J. Dissecting the tumor myeloid compartment reveals rare activating antigen-presenting cells critical for T cell immunity Cancer Cell 26 2014 638 652 25446897 10.1016/j.ccell.2014.09.007 PMC4254577

12 Nagaraj S. Gupta K. Pisarev V. Kinarsky L. Sherman S. Kang L. Altered recognition of antigen is a mechanism of CD8+ T cell tolerance in cancer Nat Med 13 2007 828 835 17603493 10.1038/nm1609 PMC2135607

13 Hamann D. Baars P.A. Rep M.H. Hooibrink B. Kerkhof-Garde S.R. Klein M.R. Phenotypic and functional separation of memory and effector human CD8+ T cells J Exp Med 186 1997 1407 1418 9348298 10.1084/jem.186.9.1407 PMC2199103

14 Schietinger A. Philip M. Krisnawan V.E. Chiu E.Y. Delrow J.J. Basom R.S. Tumor-Specific T cell dysfunction is a dynamic antigen-driven differentiation program initiated early during tumorigenesis Immunity 45 2016 389 401 27521269 10.1016/j.immuni.2016.07.011 PMC5119632

15 Sharma P. Allison J.P. Immune checkpoint targeting in cancer therapy: toward combination strategies with curative potential Cell 161 2015 205 214 25860605 10.1016/j.cell.2015.03.030 PMC5905674

16 Topalian S.L. Drake C.G. Pardoll D.M. Immune checkpoint blockade: a common denominator approach to cancer therapy Cancer Cell 27 2015 450 461 25858804 10.1016/j.ccell.2015.03.001 PMC4400238

17 Zhu J. Paul W.E. CD4 T cells: fates, functions, and faults Blood 112 2008 1557 1569 18725574 10.1182/blood-2008-05-078154 PMC2518872

18 Zhu J. Yamane H. Paul W.E. Differentiation of effector CD4 T cell populations (∗) Annu Rev Immunol 28 2010 445 489 20192806 10.1146/annurev-immunol-030409-101212 PMC3502616

19 Chowdhury D. Lieberman J. Death by a thousand cuts: granzyme pathways of programmed cell death Annu Rev Immunol 26 2008 389 420 18304003 10.1146/annurev.immunol.26.021607.090404 PMC2790083

20 Mantovani A. Allavena P. Sica A. Balkwill F. Cancer-related inflammation Nature 454 2008 436 444 18650914 10.1038/nature07205

21 Muranski P. Restifo N.P. Essentials of Th17 cell commitment and plasticity Blood 121 2013 2402 2414 23325835 10.1182/blood-2012-09-378653 PMC3612853

22 Crotty S. Follicular helper CD4 T cells (TFH) Annu Rev Immunol 29 2011 621 663 21314428 10.1146/annurev-immunol-031210-101400

23 Dieu-Nosjean M.C. Goc J. Giraldo N.A. Sautès-Fridman C. Fridman W.H. Tertiary lymphoid structures in cancer and beyond Trends Immunol 35 2014 571 580 25443495 10.1016/j.it.2014.09.006

24 Harris R.J. Cheung A. Ng J.C.F. Laddach R. Chenoweth A.M. Crescioli S. Tumor-infiltrating B lymphocyte profiling identifies igG-biased, clonally expanded prognostic phenotypes in triple-negative breast cancer Cancer Res 81 2021 4290 4304 34224371 10.1158/0008-5472.CAN-20-3773 PMC7611538

25 Kambayashi T. Laufer T.M. Atypical MHC class II-expressing antigen-presenting cells: can anything replace a dendritic cell? Nat Rev Immunol 14 2014 719 730 25324123 10.1038/nri3754

26 Hong S. Zhang Z. Liu H. Tian M. Zhu X. Zhang Z. B cells are the dominant antigen-presenting cells that activate naive CD4(+) T Cells upon immunization with a virus-derived nanoparticle antigen Immunity 49 2018 695 708.e4 30291027 10.1016/j.immuni.2018.08.012

27 Mariño E. Tan B. Binge L. Mackay C.R. Grey S.T. B-cell cross-presentation of autologous antigen precipitates diabetes Diabetes 61 2012 2893 2905 22829452 10.2337/db12-0006 PMC3478535

28 Avalos A.M. Ploegh H.L. Early BCR events and antigen capture, processing, and loading on MHC class II on B cells Front Immunol 5 2014 92 24653721 10.3389/fimmu.2014.00092 PMC3948085

29 Lanzavecchia A. Bove S. Specific B lymphocytes efficiently pick up, process and present antigen to T cells 1985 Behring Inst Mitt 82 87 3002320

30 Rodriguez A.B. Engelhard V.H. Insights into tumor-associated tertiary lymphoid structures: novel targets for antitumor immunity and cancer immunotherapy Cancer Immunol Res 8 2020 1338 1345 33139300 10.1158/2326-6066.CIR-20-0432 PMC7643396

31 Michaud D. Steward C.R. Mirlekar B. Pylayeva-Gupta Y. Regulatory B cells in cancer Immunol Rev 299 2021 74 92 33368346 10.1111/imr.12939 PMC7965344

32 Matsumoto M. Baba A. Yokota T. Nishikawa H. Ohkawa Y. Kayama H. Interleukin-10-producing plasmablasts exert regulatory function in autoimmune inflammation Immunity 41 2014 1040 1051 25484301 10.1016/j.immuni.2014.10.016

33 Nouël A. Pochard P. Simon Q. Ségalen I. Le Meur Y. Pers J.O. B-cells induce regulatory T cells through TGF- β /IDO production in a CTLA-4 dependent manner J Autoimmun 59 2015 53 60 25753821 10.1016/j.jaut.2015.02.004

34 Zhang B. Vogelzang A. Miyajima M. Sugiura Y. Wu Y. Chamoto K. B cell-derived GABA elicits IL-10(+) macrophages to limit anti-tumour immunity Nature 599 2021 471 476 34732892 10.1038/s41586-021-04082-1 PMC8599023

35 Crinier A. Narni-Mancinelli E. Ugolini S. Vivier E. SnapShot: natural killer cells Cell 180 2020 1280 1280.e1 32200803 10.1016/j.cell.2020.02.029

36 Wolf N.K. Kissiov D.U. Raulet D.H. Roles of natural killer cells in immunity to cancer, and applications to immunotherapy Nat Rev Immunol 23 2023 90 105 35637393 10.1038/s41577-022-00732-1

37 Page A. Chuvin N. Valladeau-Guilemond J. Depil S. Development of NK cell-based cancer immunotherapies through receptor engineering Cell Mol Immunol 21 2024 315 331 38443448 10.1038/s41423-024-01145-x PMC10978891

38 Liu X. Zuo F. Song J. Tang L. Wang X. Liu X. Immune checkpoints HLA-E:CD94-NKG2A and HLA-C:KIR2DL1 complementarily shield circulating tumor cells from NK-mediated immune surveillance Cell Discov 10 2024 16 38336855 10.1038/s41421-024-00646-3 PMC10858264

39 Liu X. Song J. Zhang H. Liu X. Zuo F. Zhao Y. Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of circulating tumor cells from NK cell surveillance Cancer Cell 41 2023 272 36706761 10.1016/j.ccell.2023.01.001

40 Münz C. Natural killer cell responses to human oncogenic γ-herpesvirus infections Semin Immunol 60 2022 101652 10.1016/j.smim.2022.101652 36162228

41 Liu Y. Cao X. The origin and function of tumor-associated macrophages Cell Mol Immunol 12 2015 1 4 25220733 10.1038/cmi.2014.83 PMC4654376

42 Wynn T.A. Chawla A. Pollard J.W. Macrophage biology in development, homeostasis and disease Nature 496 2013 445 455 23619691 10.1038/nature12034 PMC3725458

43 Sharma S.K. Chintala N.K. Vadrevu S.K. Patel J. Karbowniczek M. Markiewski M.M. Pulmonary alveolar macrophages contribute to the premetastatic niche by suppressing antitumor T cell responses in the lungs J Immunol 194 2015 5529 5538 25911761 10.4049/jimmunol.1403215

44 Singh S. Mehta N. Lilan J. Budhthoki M.B. Chao F. Yong L. Initiative action of tumor-associated macrophage during tumor metastasis Biochim Open 4 2017 8 18 29450136 10.1016/j.biopen.2016.11.002 PMC5801826

45 Lin Y. Xu J. Lan H. Tumor-associated macrophages in tumor metastasis: biological roles and clinical therapeutic applications J Hematol Oncol 12 2019 76 31300030 10.1186/s13045-019-0760-3 PMC6626377

46 Khan M.M. Li Y. Zhou Z. Ni A. Saiding Q. Qin D. Macrophage-modulating nanomedicine for cancer immunotherapy Nanoscale 16 2024 7378 7386 38511468 10.1039/d3nr06333j

47 Lorenzo-Sanz L. Muñoz P. Tumor-Infiltrating immunosuppressive cells in cancer-cell plasticity, tumor progression and therapy response Cancer Microenviron 12 2019 119 132 31583529 10.1007/s12307-019-00232-2 PMC6937363

48 Movahedi K. Laoui D. Gysemans C. Baeten M. Stangé G. Van den Bossche J. Different tumor microenvironments contain functionally distinct subsets of macrophages derived from Ly6C(high) monocytes Cancer Res 70 2010 5728 5739 20570887 10.1158/0008-5472.CAN-09-4672

49 Qian B.Z. Pollard J.W. Macrophage diversity enhances tumor progression and metastasis Cell 141 2010 39 51 20371344 10.1016/j.cell.2010.03.014 PMC4994190

50 Abraham D. Zins K. Sioud M. Lucas T. Schäfer R. Stanley E.R. Stromal cell-derived CSF-1 blockade prolongs xenograft survival of CSF-1-negative neuroblastoma Int J Cancer 126 2010 1339 1352 19711348 10.1002/ijc.24859 PMC3222589

51 Linde N. Lederle W. Depner S. van Rooijen N. Gutschalk C.M. Mueller M.M. Vascular endothelial growth factor-induced skin carcinogenesis depends on recruitment and alternative activation of macrophages J Pathol 227 2012 17 28 22262122 10.1002/path.3989

52 Zhang W. Chen L. Ma K. Zhao Y. Liu X. Wang Y. Polarization of macrophages in the tumor microenvironment is influenced by EGFR signaling within colon cancer cells Oncotarget 7 2016 75366 75378 27683110 10.18632/oncotarget.12207 PMC5342747

53 Qian B.Z. Li J. Zhang H. Kitamura T. Zhang J. Campion L.R. CCL2 recruits inflammatory monocytes to facilitate breast-tumour metastasis Nature 475 2011 222 225 21654748 10.1038/nature10138 PMC3208506

54 Henze A.T. Mazzone M. The impact of hypoxia on tumor-associated macrophages J Clin Investig 126 2016 3672 3679 27482883 10.1172/JCI84427 PMC5096805

55 Hoeksema M.A. de Winther M.P. Epigenetic regulation of monocyte and macrophage function Antioxid Redox Signal 25 2016 758 774 26983461 10.1089/ars.2016.6695 PMC5098128

56 Kapellos T.S. Iqbal A.J. Epigenetic control of macrophage polarisation and soluble mediator gene expression during inflammation Mediat Inflamm 2016 2016 6591703 10.1155/2016/6591703 PMC4842078 27143818

57 Bronte V. Brandau S. Chen S.H. Colombo M.P. Frey A.B. Greten T.F. Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards Nat Commun 7 2016 12150 10.1038/ncomms12150 PMC4935811 27381735

58 Condamine T. Mastio J. Gabrilovich D.I. Transcriptional regulation of myeloid-derived suppressor cells J Leukoc Biol 98 2015 913 922 26337512 10.1189/jlb.4RI0515-204R PMC4661041

59 Fu Y. Li J. Cai W. Huang Y. Liu X. Ma Z. The emerging tumor microbe microenvironment: from delineation to multidisciplinary approach-based interventions Acta Pharm Sin B 14 2024 1560 1591 38572104 10.1016/j.apsb.2023.11.018 PMC10985043

60 Gabrilovich D.I. Ostrand-Rosenberg S. Bronte V. Coordinated regulation of myeloid cells by tumours Nat Rev Immunol 12 2012 253 268 22437938 10.1038/nri3175 PMC3587148

61 Papadaki M.A. Aggouraki D. Vetsika E.K. Xenidis N. Kallergi G. Kotsakis A. Epithelial-to-mesenchymal transition heterogeneity of circulating tumor cells and their correlation with MDSCs and Tregs in HER2-negative metastatic breast cancer patients Anticancer Res 41 2021 661 670 33517270 10.21873/anticanres.14817

62 Wang Y. Ding Y. Guo N. Wang S. MDSCs: key criminals of tumor pre-metastatic niche formation Front Immunol 10 2019 172 30792719 10.3389/fimmu.2019.00172 PMC6374299

63 Groh V. Wu J. Yee C. Spies T. Tumour-derived soluble MIC ligands impair expression of NKG2D and T-cell activation Nature 419 2002 734 738 12384702 10.1038/nature01112

64 Ostrand-Rosenberg S. Sinha P. Myeloid-derived suppressor cells: linking inflammation and cancer J Immunol 182 2009 4499 4506 19342621 10.4049/jimmunol.0802740 PMC2810498

65 Wing J.B. Tanaka A. Sakaguchi S. Human FOXP3(+) Regulatory T Cell heterogeneity and function in autoimmunity and cancer Immunity 50 2019 302 316 30784578 10.1016/j.immuni.2019.01.020

66 Li C. Jiang P. Wei S. Xu X. Wang J. Regulatory T cells in tumor microenvironment: new mechanisms, potential therapeutic strategies and future prospects Mol Cancer 19 2020 116 32680511 10.1186/s12943-020-01234-1 PMC7367382

67 Sullivan J.A. Tomita Y. Jankowska-Gan E. Lema D.A. Arvedson M.P. Nair A. Treg-cell-derived IL-35-coated extracellular vesicles promote infectious tolerance Cell Rep 30 2020 1039 31995748 10.1016/j.celrep.2019.12.081 PMC7042971

68 Workman C.J. Vignali D.A. Negative regulation of T cell homeostasis by lymphocyte activation gene-3 (CD223) J Immunol 174 2005 688 695 15634887 10.4049/jimmunol.174.2.688

69 Huang C.T. Workman C.J. Flies D. Pan X. Marson A.L. Zhou G. Role of LAG-3 in regulatory T cells Immunity 21 2004 503 513 15485628 10.1016/j.immuni.2004.08.010

70 Liang B. Workman C. Lee J. Chew C. Dale B.M. Colonna L. Regulatory T cells inhibit dendritic cells by lymphocyte activation gene-3 engagement of MHC class II J Immunol 180 2008 5916 5926 18424711 10.4049/jimmunol.180.9.5916

71 Fallarino F. Grohmann U. Hwang K.W. Orabona C. Vacca C. Bianchi R. Modulation of tryptophan catabolism by regulatory T cells Nat Immunol 4 2003 1206 1212 14578884 10.1038/ni1003

72 Kurtulus S. Sakuishi K. Ngiow S.F. Joller N. Tan D.J. Teng M.W. TIGIT predominantly regulates the immune response via regulatory T cells J Clin Investig 125 2015 4053 4062 26413872 10.1172/JCI81187 PMC4639980

73 Mellor A.L. Munn D.H. IDO expression by dendritic cells: tolerance and tryptophan catabolism Nat Rev Immunol 4 2004 762 774 15459668 10.1038/nri1457

74 Brouillard A. Deshpande N. Kulkarni A.A. Engineered multifunctional nano- and biological materials for cancer immunotherapy Adv Healthcare Mater 10 2021 e2001680 10.1002/adhm.202001680 33448159

75 Hu X. Zhu H. He X. Chen J. Xiong L. Shen Y. The application of nanoparticles in immunotherapy for hepatocellular carcinoma J Control Release 355 2023 85 108 36708880 10.1016/j.jconrel.2023.01.051

76 Smith T.T. Stephan S.B. Moffett H.F. McKnight L.E. Ji W. Reiman D. In situ programming of leukaemia-specific T cells using synthetic DNA nanocarriers Nat Nanotechnol 12 2017 813 820 28416815 10.1038/nnano.2017.57 PMC5646367

77 Xie Y.Q. Arik H. Wei L. Zheng Y. Suh H. Irvine D.J. Redox-responsive interleukin-2 nanogel specifically and safely promotes the proliferation and memory precursor differentiation of tumor-reactive T-cells Biomater Sci 7 2019 1345 1357 30698174 10.1039/c8bm01556b PMC6435399

78 Mitchell M.J. Billingsley M.M. Haley R.M. Wechsler M.E. Peppas N.A. Langer R. Engineering precision nanoparticles for drug delivery Nat Rev Drug Discov 20 2021 101 124 33277608 10.1038/s41573-020-0090-8 PMC7717100

79 Xu Z. Ramishetti S. Tseng Y.C. Guo S. Wang Y. Huang L. Multifunctional nanoparticles co-delivering Trp2 peptide and CpG adjuvant induce potent cytotoxic T-lymphocyte response against melanoma and its lung metastasis J Control Release 172 2013 259 265 24004885 10.1016/j.jconrel.2013.08.021

80 Restifo N.P. Dudley M.E. Rosenberg S.A. Adoptive immunotherapy for cancer: harnessing the T cell response Nat Rev Immunol 12 2012 269 281 22437939 10.1038/nri3191 PMC6292222

81 Perica K. Bieler J.G. Schütz C. Varela J.C. Douglass J. Skora A. Enrichment and expansion with nanoscale artificial antigen presenting cells for adoptive immunotherapy ACS Nano 9 2015 6861 6871 26171764 10.1021/acsnano.5b02829 PMC5082131

82 Yan H. Lin G. Liu Z. Gu F. Zhang Y. Nano-adjuvants and immune agonists promote antitumor immunity of peptide amphiphiles Acta Biomater 161 2023 213 225 36858163 10.1016/j.actbio.2023.02.034

83 Hafeez U. Parakh S. Gan H.K. Scott A.M. Antibody-drug conjugates for cancer therapy Molecules 25 2020 4764 33081383 10.3390/molecules25204764 PMC7587605

84 Xie Y. Bagby T.R. Cohen M.S. Forrest M.L. Drug delivery to the lymphatic system: importance in future cancer diagnosis and therapies Expet Opin Drug Deliv 6 2009 785 792 10.1517/17425240903085128 PMC3102644 19563270

85 Kim K.S. Han J.H. Choi S.H. Jung H.Y. Park J.D. An H.J. Cationic nanoparticle-mediated activation of natural killer cells for effective cancer immunotherapy ACS Appl Mater Interfaces 12 2020 56731 56740 33290037 10.1021/acsami.0c16357

86 Kim M.E. Kim D.H. Lee J.S. FoxO transcription factors: applicability as a novel immune cell regulators and therapeutic targets in oxidative stress-related diseases Int J Mol Sci 23 2022 11877 10.3390/ijms231911877 PMC9569616 36233176

87 Hu Y. Tian Z.G. Zhang C. Chimeric antigen receptor (CAR)-transduced natural killer cells in tumor immunotherapy Acta Pharmacol Sin 39 2018 167 176 28880014 10.1038/aps.2017.125 PMC5800464

88 Dana H. Chalbatani G.M. Jalali S.A. Mirzaei H.R. Grupp S.A. Suarez E.R. CAR-T cells: early successes in blood cancer and challenges in solid tumors Acta Pharm Sin B 11 2021 1129 1147 34094824 10.1016/j.apsb.2020.10.020 PMC8144892

89 Van Rooijen N. Sanders A. Liposome mediated depletion of macrophages: mechanism of action, preparation of liposomes and applications J Immunol Methods 174 1994 83 93 8083541 10.1016/0022-1759(94)90012-4

90 Chao M.P. Alizadeh A.A. Tang C. Myklebust J.H. Varghese B. Gill S. Anti-CD47 antibody synergizes with rituximab to promote phagocytosis and eradicate Non-Hodgkin lymphoma Cell 142 2010 699 713 20813259 10.1016/j.cell.2010.07.044 PMC2943345

91 Liu Y. Tiruthani K. Wang M. Zhou X. Qiu N. Xiong Y. Tumor-targeted gene therapy with lipid nanoparticles inhibits tumor-associated adipocytes and remodels the immunosuppressive tumor microenvironment in triple-negative breast cancer Nanoscale Horiz 6 2021 319 329 33587080 10.1039/d0nh00588f PMC8638658

92 Ries C.H. Cannarile M.A. Hoves S. Benz J. Wartha K. Runza V. Targeting tumor-associated macrophages with anti-CSF-1R antibody reveals a strategy for cancer therapy Cancer Cell 25 2014 846 859 24898549 10.1016/j.ccr.2014.05.016

93 Zhu Y. Knolhoff B.L. Meyer M.A. Nywening T.M. West B.L. Luo J. CSF1/CSF1R blockade reprograms tumor-infiltrating macrophages and improves response to T-cell checkpoint immunotherapy in pancreatic cancer models Cancer Res 74 2014 5057 5069 25082815 10.1158/0008-5472.CAN-13-3723 PMC4182950

94 Conde J. Bao C. Tan Y. Cui D. Edelman E.R. Azevedo H.S. Dual targeted immunotherapy via in vivo delivery of biohybrid RNAi-peptide nanoparticles to tumour-associated macrophages and cancer cells Adv Funct Mater 25 2015 4183 4194 27340392 10.1002/adfm.201501283 PMC4914053

95 Qian Y. Qiao S. Dai Y. Xu G. Dai B. Lu L. Molecular-targeted immunotherapeutic strategy for melanoma via dual-targeting nanoparticles delivering small interfering RNA to tumor-associated macrophages ACS Nano 11 2017 9536 9549 28858473 10.1021/acsnano.7b05465

96 Liu X. Pu Y. Cron K. Deng L. Kline J. Frazier W.A. CD47 blockade triggers T cell-mediated destruction of immunogenic tumors Nat Med 21 2015 1209 1215 26322579 10.1038/nm.3931 PMC4598283

97 Bournazos S. IgG Fc receptors: evolutionary considerations Curr Top Microbiol Immunol 423 2019 1 11 30739161 10.1007/82_2019_149

98 Wang C. Ye Y. Hu Q. Bellotti A. Gu Z. Tailoring biomaterials for cancer immunotherapy: emerging trends and future outlook Adv Mater 29 2017 1606036 10.1002/adma.201606036 28556553

99 Rodell C.B. Ahmed M.S. Garris C.S. Pittet M.J. Weissleder R. Development of adamantane-conjugated TLR7/8 agonists for supramolecular delivery and cancer immunotherapy Theranostics 9 2019 8426 8436 31879528 10.7150/thno.35434 PMC6924259

100 Wang H. Yang H. Shivalila C.S. Dawlaty M.M. Cheng A.W. Zhang F. One-step generation of mice carrying mutations in multiple genes by CRISPR/Cas-mediated genome engineering Cell 153 2013 910 918 23643243 10.1016/j.cell.2013.04.025 PMC3969854

101 Zanganeh S. Hutter G. Spitler R. Lenkov O. Mahmoudi M. Shaw A. Iron oxide nanoparticles inhibit tumour growth by inducing pro-inflammatory macrophage polarization in tumour tissues Nat Nanotechnol 11 2016 986 994 27668795 10.1038/nnano.2016.168 PMC5198777

102 Zhao P. Wang Y. Kang X. Wu A. Yin W. Tang Y. Dual-targeting biomimetic delivery for anti-glioma activity via remodeling the tumor microenvironment and directing macrophage-mediated immunotherapy Chem Sci 9 2018 2674 2689 29732051 10.1039/c7sc04853j PMC5914428

103 Long Y. Lu Z. Xu S. Li M. Wang X. Zhang Z. Self-delivery micellar nanoparticles prevent premetastatic niche formation by interfering with the early recruitment and vascular destruction of granulocytic myeloid-derived suppressor cells Nano Lett 20 2020 2219 2229 31823615 10.1021/acs.nanolett.9b03883

104 Wang T. Wang J. Jiang H. Ni M. Zou Y. Chen Y. Targeted regulation of tumor microenvironment through the inhibition of MDSCs by curcumin loaded self-assembled nano-filaments Mater Today Bio 15 2022 100304 10.1016/j.mtbio.2022.100304 PMC9194645 35711288

105 Li S. Wang Q. Shen Y. Hassan M. Shen J. Jiang W. Pseudoneutrophil cytokine sponges disrupt myeloid expansion and tumor trafficking to improve cancer immunotherapy Nano Lett 20 2020 242 251 31790598 10.1021/acs.nanolett.9b03753

106 Han H. Bártolo R. Li J. Shahbazi M.A. Santos H.A. Biomimetic platelet membrane-coated nanoparticles for targeted therapy Eur J Pharm Biopharm 172 2022 1 15 35074554 10.1016/j.ejpb.2022.01.004

107 Wu M. Liu X. Bai H. Lai L. Chen Q. Huang G. Surface-layer protein-enhanced immunotherapy based on cell membrane-coated nanoparticles for the effective inhibition of tumor growth and metastasis ACS Appl Mater Interfaces 11 2019 9850 9859 30788951 10.1021/acsami.9b00294

108 Lai X. Liu X.L. Pan H. Zhu M.H. Long M. Yuan Y. Light-triggered efficient sequential drug delivery of biomimetic nanosystem for multimodal chemo-, antiangiogenic, and anti-MDSC therapy in melanoma Adv Mater 34 2022 e2106682 10.1002/adma.202106682 34989039

109 Huo M. Zhao Y. Satterlee A.B. Wang Y. Xu Y. Huang L. Tumor-targeted delivery of sunitinib base enhances vaccine therapy for advanced melanoma by remodeling the tumor microenvironment J Control Release 245 2017 81 94 27863995 10.1016/j.jconrel.2016.11.013 PMC5222779

110 Plebanek M.P. Bhaumik D. Bryce P.J. Thaxton C.S. Scavenger receptor type B1 and lipoprotein nanoparticle inhibit myeloid-derived suppressor cells Mol Cancer Therapeut 17 2018 686 697 10.1158/1535-7163.MCT-17-0981 PMC5935575 29282300

111 Kong M. Tang J. Qiao Q. Wu T. Qi Y. Tan S. Biodegradable hollow mesoporous silica nanoparticles for regulating tumor microenvironment and enhancing antitumor efficiency Theranostics 7 2017 3276 3292 28900509 10.7150/thno.19987 PMC5595131

112 Phuengkham H. Song C. Lim Y.T. A designer scaffold with immune nanoconverters for reverting immunosuppression and enhancing immune checkpoint blockade therapy Adv Mater 31 2019 e1903242 10.1002/adma.201903242 31490604

113 Gamrad L. Rehbock C. Westendorf A.M. Buer J. Barcikowski S. Hansen W. Efficient nucleic acid delivery to murine regulatory T cells by gold nanoparticle conjugates Sci Rep 6 2016 28709 10.1038/srep28709 PMC4933883 27381215

114 He S. Li J. Cheng P. Zeng Z. Zhang C. Duan H. Charge-reversal polymer nano-modulators for photodynamic immunotherapy of cancer Angew Chem Int Ed Engl 60 2021 19355 19363 34105217 10.1002/anie.202106392

115 Lozano T. Soldevilla M.M. Casares N. Villanueva H. Bendandi M. Lasarte J.J. Targeting inhibition of Foxp3 by a CD28 2′-Fluro oligonucleotide aptamer conjugated to P60-peptide enhances active cancer immunotherapy Biomaterials 91 2016 73 80 26999456 10.1016/j.biomaterials.2016.03.007

116 Zhang Y. Han X. Nie G. Responsive and activable nanomedicines for remodeling the tumor microenvironment Nat Protoc 16 2021 405 430 33311713 10.1038/s41596-020-00421-0

117 Xiao H. Guo Y. Li B. Li X. Wang Y. Han S. M2-Like tumor-associated macrophage-targeted codelivery of STAT6 inhibitor and IKK β siRNA induces M2-to-M1 repolarization for cancer immunotherapy with low immune side effects ACS Cent Sci 6 2020 1208 1222 32724855 10.1021/acscentsci.9b01235 PMC7379385

118 Martin J.D. Cabral H. Stylianopoulos T. Jain R.K. Improving cancer immunotherapy using nanomedicines: progress, opportunities and challenges Nat Rev Clin Oncol 17 2020 251 266 32034288 10.1038/s41571-019-0308-z PMC8272676

119 D'Angelo S.P. Araujo D.M. Abdul Razak A.R. Agulnik M. Attia S. Blay J.Y. Afamitresgene autoleucel for advanced synovial sarcoma and myxoid round cell liposarcoma (SPEARHEAD-1): an international, open-label, phase 2 trial Lancet 403 2024 1460 1471 38554725 10.1016/S0140-6736(24)00319-2 PMC11419333

120 Hogan L.E. Brown P.A. Ji L. Xu X. Devidas M. Bhatla T. Children's Oncology group AALL1331: phase III trial of blinatumomab in children, adolescents, and young adults with low-risk B-cell ALL in first relapse J Clin Oncol 41 2023 4118 4129 37257143 10.1200/JCO.22.02200 PMC10852366

121 Segal N.H. Melero I. Moreno V. Steeghs N. Marabelle A. Rohrberg K. CEA-CD3 bispecific antibody cibisatamab with or without atezolizumab in patients with CEA-positive solid tumours: results of two multi-institutional Phase 1 trials Nat Commun 15 2024 4091 38750034 10.1038/s41467-024-48479-8 PMC11096172

122 Budde E. Gopal A.K. Flinn I.W. Nastoupil L.J. Gordon M.S. Pang C.-F. Preliminary results of a phase 1 dose escalation study of the first-in-class IgM based bispecific antibody Igm-2323 (anti-CD20 x anti-CD3) in patients with advanced B-Cell malignancies Blood 136 2020 45 46

123 Zuch de Zafra C.L. Fajardo F. Zhong W. Bernett M.J. Muchhal U.S. Moore G.L. Targeting multiple myeloma with AMG 424, a novel anti-CD38/CD3 bispecific t-cell-recruiting antibody optimized for cytotoxicity and cytokine release Clin Cancer Res 25 2019 3921 3933 30918018 10.1158/1078-0432.CCR-18-2752

124 Winer E.S. Maris M. Sharma M.R. Kaminker P. Zhao E. Ward A. A phase 1, first-in-human, dose-escalation study of MGD024, a CD123 x CD3 bispecific dart® molecule, in patients with relapsed or refractory CD123-positive (+) hematologic malignancies Blood 140 2022 11753 11754

125 Piha-Paul S. Bendell J. Tolcher A. Hurvitz S. Patnaik A. Shroff R. O82 A phase 1 dose escalation study of PRS-343, a HER2/4–1BB bispecific molecule, in patients with HER2-positive malignancies J Immunother Cancer 8 2020 A1 A2

126 Brugières L. Cozic N. Houot R. Rigaud C. Sibon D. Arfi-Rouche J. Efficacy and safety of crizotinib in ALK-positive systemic anaplastic large-cell lymphoma in children, adolescents, and adult patients: results of the French AcSé-crizotinib trial Eur J Cancer 191 2023 112984 10.1016/j.ejca.2023.112984 37549532

127 Jonasch E. Donskov F. Iliopoulos O. Rathmell W.K. Narayan V.K. Maughan B.L. Belzutifan for renal cell carcinoma in von Hippel-Lindau disease N Engl J Med 385 2021 2036 2046 34818478 10.1056/NEJMoa2103425 PMC9275515

128 Schilder R.J. Powderly J.D. Park H. Bilen M.A. McKean M. May R. Phase Ia dose-escalation study of the anti-BTLA antibody icatolimab as a monotherapy in patients with advanced solid tumor J Clin Oncol 40 2022 2643

129 Jones J.A. Robak T. Brown J.R. Awan F.T. Badoux X. Coutre S. Efficacy and safety of idelalisib in combination with ofatumumab for previously treated chronic lymphocytic leukaemia: an open-label, randomised phase 3 trial Lancet Haematol 4 2017 e114 e126 28257752 10.1016/S2352-3026(17)30019-4

130 Selwyn Stein A. Jongen-Lavrencic M. Garciaz S. G A.H. Maiti A. Boissel N. P494: a first-in-human study of CD123 nk cell engager SAR443579 in relapsed or refractory acute myeloid leukemia, b-cell acute lymphoblastic leukemia or high risk-myelodysplasia Hemasphere 7 2023 7005

131 Safran H. Cassier P.A. Vicier C. Forget F. Gomez-Roca C.A. Penel N. Phase 1/2 Study of DF1001, a novel tri-specific, NK cell engager therapy targeting HER2, in patients with advanced solid tumors: phase 1 DF1001 monotherapy dose-escalation results J Clin Oncol 41 2023 2508

132 Santa Gadea O.S. Christenson E. El-Khoueiry A.B. Cervantes A. Raab C. Gaertner U. AFM24 in combination with atezolizumab in patients with advanced EGFR-expressing solid tumors: phase 1/2a study design and rationale J Clin Oncol 40 2022 TPS2673

133 Schmitt N. Siegler J.-J. Wagner L. Schulze N. Beck A. Hofmann W.-K. The novel bispecific innate cell engager (ICE®) AFM28 efficiently directs allogeneic nk cells to CD123+ leukemic stem- and progenitor cells in AML Blood 140 2022 8815 8816

134 Sikic B.I. Lakhani N. Patnaik A. Shah S.A. Chandana S.R. Rasco D. First-in-human, first-in-class phase I trial of the anti-CD47 antibody Hu5F9-G4 in patients with advanced cancers J Clin Oncol 37 2019 946 953 30811285 10.1200/JCO.18.02018 PMC7186585

135 Tap W.D. Gelderblom H. Palmerini E. Desai J. Bauer S. Blay J.Y. Pexidartinib versus placebo for advanced tenosynovial giant cell tumour (ENLIVEN): a randomised phase 3 trial Lancet 394 2019 478 487 31229240 10.1016/S0140-6736(19)30764-0 PMC6860022

136 Advani R. Flinn I. Popplewell L. Forero A. Bartlett N.L. Ghosh N. CD47 Blockade by Hu5F9-G4 and rituximab in non-hodgkin's lymphoma N Engl J Med 379 2018 1711 1721 30380386 10.1056/NEJMoa1807315 PMC8058634

137 Nywening T.M. Wang-Gillam A. Sanford D.E. Belt B.A. Panni R.Z. Cusworth B.M. Targeting tumour-associated macrophages with CCR2 inhibition in combination with FOLFIRINOX in patients with borderline resectable and locally advanced pancreatic cancer: a single-centre, open-label, dose-finding, non-randomised, phase 1b trial Lancet Oncol 17 2016 651 662 27055731 10.1016/S1470-2045(16)00078-4 PMC5407285

138 Fujikawa K. Saito T. Kurose K. Kojima T. Funakoshi T. Sato E. Integrated analysis of phase 1a and 1b randomized controlled trials; Treg-targeted cancer immunotherapy with the humanized anti-CCR4 antibody, KW-0761, for advanced solid tumors PLoS One 18 2023 e0291772 10.1371/journal.pone.0291772 PMC10511099 37729184

139 Mahalingam D. Harb W. Patnaik A. Bullock A. Watnick R.S. Vincent M.Y. First-in-human phase I dose escalation trial of the first-in-class tumor microenvironment modulator VT1021 in advanced solid tumors Commun Med 4 2024 10 38218979 10.1038/s43856-024-00433-x PMC10787778

140 Bewersdorf J.P. Shallis R.M. Sharon E. Park S. Ramaswamy R. Roe C.E. A multicenter phase Ib trial of the histone deacetylase inhibitor entinostat in combination with pembrolizumab in patients with myelodysplastic syndromes/neoplasms or acute myeloid leukemia refractory to hypomethylating agents Ann Hematol 103 2024 105 116 38036712 10.1007/s00277-023-05552-4 PMC11838822

141 Beckermann K.E. Patnaik A. Winer I. Tan W. Bashir B. Kyriakopoulos C.E. A phase 1b open-label study to evaluate the safety, tolerability, pharmacokinetics, and pharmacodynamics of py314 in combination with pembrolizumab in patients with advanced renal cell carcinoma Invest N Drugs 42 2024 179 184 10.1007/s10637-024-01419-1 38372949

142 Rajan A. Abdul Sater H. Rahma O. Agajanian R. Lassoued W. Marté J.L. Efficacy, safety, and biomarker analyses of bintrafusp alfa, a bifunctional fusion protein targeting TGF- β and PD-L1, in patients with advanced non-small cell lung cancer J Immunother Cancer 12 2024 e008480 10.1136/jitc-2023-008480 PMC10941133 38485188

143 Ponce S. Cedrés S. Ricordel C. Isambert N. Viteri S. Herrera-Juarez M. ONCOS-102 plus pemetrexed and platinum chemotherapy in malignant pleural mesothelioma: a randomized phase 2 study investigating clinical outcomes and the tumor microenvironment J Immunother Cancer 11 2023 e007552 10.1136/jitc-2023-007552 PMC10476122 37661097

144 Salawu A. Wang B.X. Han M. Geady C. Heirali A. Berman H.K. Safety, immunologic, and clinical activity of durvalumab in combination with olaparib or cediranib in advanced leiomyosarcoma: results of the DAPPER clinical trial Clin Cancer Res 29 2023 4128 4138 37566240 10.1158/1078-0432.CCR-23-1137

145 Ahmed J. Stephen B. Yang Y. Kwiatkowski E. Ejezie C.L. Pant S. Phase Ib/II study of lacnotuzumab in combination with spartalizumab in patients with advanced malignancies J Immunother Precis Oncol 7 2024 73 81 38721402 10.36401/JIPO-23-16 PMC11075470

146 Weed D.T. Zilio S. Reis I.M. Sargi Z. Abouyared M. Gomez-Fernandez C.R. The reversal of immune exclusion mediated by tadalafil and an anti-tumor vaccine also induces PDL1 upregulation in recurrent head and neck squamous cell carcinoma: interim analysis of a phase i clinical trial Front Immunol 10 2019 1206 31214178 10.3389/fimmu.2019.01206 PMC6554471

147 Rook A.H. Gelfand J.M. Wysocka M. Troxel A.B. Benoit B. Surber C. Topical resiquimod can induce disease regression and enhance T-cell effector functions in cutaneous T-cell lymphoma Blood 126 2015 1452 1461 26228486 10.1182/blood-2015-02-630335 PMC4573868

148 Guo C. Sharp A. Gurel B. Crespo M. Figueiredo I. Jain S. Targeting myeloid chemotaxis to reverse prostate cancer therapy resistance Nature 623 2023 1053 1061 37844613 10.1038/s41586-023-06696-z PMC10686834

149 Brana I. Calles A. LoRusso P.M. Yee L.K. Puchalski T.A. Seetharam S. Carlumab, an anti-C-C chemokine ligand 2 monoclonal antibody, in combination with four chemotherapy regimens for the treatment of patients with solid tumors: an open-label, multicenter phase 1b study Targeted Oncol 10 2015 111 123 10.1007/s11523-014-0320-2 24928772

150 Bockorny B. Semenisty V. Macarulla T. Borazanci E. Wolpin B.M. Stemmer S.M. BL-8040, a CXCR4 antagonist, in combination with pembrolizumab and chemotherapy for pancreatic cancer: the COMBAT trial Nat Med 26 2020 878 885 32451495 10.1038/s41591-020-0880-x

151 Cho B.C. Abreu D.R. Hussein M. Cobo M. Patel A.J. Secen N. Tiragolumab plus atezolizumab versus placebo plus atezolizumab as a first-line treatment for PD-L1-selected non-small-cell lung cancer (CITYSCAPE): primary and follow-up analyses of a randomised, double, phase 2 study Lancet Oncol 23 2022 781 792 35576957 10.1016/S1470-2045(22)00226-1

152 Doi T. Muro K. Ishii H. Kato T. Tsushima T. Takenoyama M. A phase I study of the anti-CC chemokine receptor 4 antibody, mogamulizumab, in combination with nivolumab in patients with advanced or metastatic solid tumors Clin Cancer Res 25 2019 6614 6622 31455681 10.1158/1078-0432.CCR-19-1090

153 Bockorny B. Macarulla T. Semenisty V. Borazanci E. Feliu J. Ponz-Sarvise M. Motixafortide and pembrolizumab combined to nanoliposomal irinotecan, fluorouracil, and folinic acid in metastatic pancreatic cancer: the COMBAT/KEYNOTE-202 trial Clin Cancer Res 27 2021 5020 5027 34253578 10.1158/1078-0432.CCR-21-0929

154 Daver N.G. Vyas P. Kambhampati S. Al Malki M.M. Larson R.A. Asch A.S. Tolerability and efficacy of the anticluster of differentiation 47 antibody magrolimab combined with azacitidine in patients with previously untreated AML: phase Ib results J Clin Oncol 41 2023 4893 4904 37703506 10.1200/JCO.22.02604 PMC10617926

155 Fuh K.C. Bookman M.A. Liu J.F. Coleman R.L. Herzog T.J. Thaker P.H. Phase 1b study of AVB-500 in combination with paclitaxel or pegylated liposomal doxorubicin platinum-resistant recurrent ovarian cancer Gynecol Oncol 163 2021 254 261 34474927 10.1016/j.ygyno.2021.08.020

156 Johnson M. Dudek A.Z. Sukari A. Call J. Kunk P.R. Lewis K. ARRY-382 in combination with pembrolizumab in patients with advanced solid tumors: results from a phase 1b/2 study Clin Cancer Res 28 2022 2517 2526 35302585 10.1158/1078-0432.CCR-21-3009 PMC9359741

157 Haag G.M. Springfeld C. Grün B. Apostolidis L. Zschäbitz S. Dietrich M. Pembrolizumab and maraviroc in refractory mismatch repair proficient/microsatellite-stable metastatic colorectal cancer - the PICCASSO phase I trial Eur J Cancer 167 2022 112 122 35427833 10.1016/j.ejca.2022.03.017

158 Chen W. Li Y. Liu C. Kang Y. Qin D. Chen S. In situ engineering of tumor-associated macrophages via a nanodrug-delivering-drug ( β -Elemene@Stanene) strategy for enhanced cancer chemo-immunotherapy Angew Chem Int Ed Engl 62 2023 e202308413 10.1002/anie.202308413 37380606

159 Silverman J.A. Deitcher S.R. Marqibo®(vincristine sulfate liposome injection) improves the pharmacokinetics and pharmacodynamics of vincristine Cancer Chemother Pharmacol 71 2013 555 564 23212117 10.1007/s00280-012-2042-4 PMC3579462

160 Chawla S.P. Chua V.S. Fernandez L. Quon D. Saralou A. Blackwelder W.C. Phase I/II and phase II studies of targeted gene delivery in vivo : intravenous Rexin-G for chemotherapy-resistant sarcoma and osteosarcoma Mol Ther 17 2009 1651 1657 19532136 10.1038/mt.2009.126 PMC2835268

161 Bonvalot S. Pechoux C.L. Baere T.D. Buy X. Italiano A. Stockle E. Phase I study of NBTXR3 nanoparticles, in patients with advanced soft tissue sarcoma (STS) J Clin Oncol 32 2014 10563

162 Bonomi P. Paclitaxel poliglumex (PPX, CT-2103): macromolecular medicine for advanced non-small-cell lung cancer Expet Rev Anticancer Ther 7 2007 415 422 10.1586/14737140.7.4.415 17428162

163 Kim D.-W. Kim S.-Y. Kim H.-K. Kim S.-W. Shin S. Kim J. Multicenter phase II trial of Genexol-PM, a novel cremophor-free, polymeric micelle formulation of paclitaxel, with cisplatin in patients with advanced non-small-cell lung cancer Ann Oncol 18 2007 2009 2014 17785767 10.1093/annonc/mdm374

164 Poon R.T. Borys N. Lyso-thermosensitive liposomal doxorubicin: a novel approach to enhance efficacy of thermal ablation of liver cancer Expet Opin Pharmacother 10 2009 333 343 10.1517/14656560802677874 19236203

165 Sankhala K. Mita A. Adinin R. Wood L. Beeram M. Bullock S. A phase I pharmacokinetic (PK) study of MBP-426, a novel liposome encapsulated oxaliplatin J Clin Oncol 27 2009 2535

166 Zhang H. Onivyde for the therapy of multiple solid tumors OncoTargets Ther 2016 3001 3007 10.2147/OTT.S105587 PMC4881920 27284250

167 Meyers P.A. Muramyl tripeptide (mifamurtide) for the treatment of osteosarcoma Expet Rev Anticancer Ther 9 2009 1035 1049 10.1586/era.09.69 19671023

168 Forssen E.A. The design and development of DaunoXome® for solid tumor targeting in vivo Adv Drug Deliv Rev 24 1997 133 150

169 Barenholz Y. Doxil®--the first FDA-approved nano-drug: lessons learned J Control Release 160 2012 117 134 22484195 10.1016/j.jconrel.2012.03.020

170 Verry C. Dufort S. Villa J. Gavard M. Iriart C. Grand S. Theranostic AGuIX nanoparticles as radiosensitizer: a phase I, dose-escalation study in patients with multiple brain metastases (NANO-RAD trial) Radiother Oncol 160 2021 159 165 33961915 10.1016/j.radonc.2021.04.021

171 Kalogera E. Nevala W.K. Finnes H.D. Suman V.J. Schimke J.M. Strand C.A. A phase I trial of nab-paclitaxel/bevacizumab (AB160) nano-immunoconjugate therapy for gynecologic malignancies Clin Cancer Res 30 2024 2623 2635 38530846 10.1158/1078-0432.CCR-23-3196 PMC11176914

172 Wang S.J. Huang W.S. Chuang C.M. Chang C.H. Lee T.W. Ting G. A phase 0 study of the pharmacokinetics, biodistribution, and dosimetry of (188)Re-liposome in patients with metastatic tumors EJNMMI Res 9 2019 46 31119414 10.1186/s13550-019-0509-6 PMC6531516

173 Pirollo K.F. Rait A. Zhou Q. Zhang X.Q. Zhou J. Kim C.S. Tumor-targeting nanocomplex delivery of novel tumor suppressor RB94 chemosensitizes bladder carcinoma cells in vitro and in vivo Clin Cancer Res 14 2008 2190 2198 18381961 10.1158/1078-0432.CCR-07-1951 PMC4448145

174 Zuckerman J.E. Gritli I. Tolcher A. Heidel J.D. Lim D. Morgan R. Correlating animal and human phase Ia/Ib clinical data with CALAA-01, a targeted, polymer-based nanoparticle containing siRNA Proc Natl Acad Sci U S A 111 2014 11449 11454 25049380 10.1073/pnas.1411393111 PMC4128111

175 Senzer N. Nemunaitis J. Nemunaitis D. Bedell C. Edelman G. Barve M. Phase I study of a systemically delivered p53 nanoparticle in advanced solid tumors Mol Ther 21 2013 1096 1103 23609015 10.1038/mt.2013.32 PMC3666630

176 Siefker-Radtke A. Zhang X.Q. Guo C.C. Shen Y. Pirollo K.F. Sabir S. A phase l study of a tumor-targeted systemic nanodelivery system, SGT-94, in genitourinary cancers Mol Ther 24 2016 1484 1491 27480598 10.1038/mt.2016.118 PMC5023382

177 Mamot C. Ritschard R. Wicki A. Stehle G. Dieterle T. Bubendorf L. Tolerability, safety, pharmacokinetics, and efficacy of doxorubicin-loaded anti-EGFR immunoliposomes in advanced solid tumours: a phase 1 dose-escalation study Lancet Oncol 13 2012 1234 1241 23153506 10.1016/S1470-2045(12)70476-X

178 van Zandwijk N. Pavlakis N. Kao S.C. Linton A. Boyer M.J. Clarke S. Safety and activity of microRNA-loaded minicells in patients with recurrent malignant pleural mesothelioma: a first-in-man, phase 1, open-label, dose-escalation study Lancet Oncol 18 2017 1386 1396 28870611 10.1016/S1470-2045(17)30621-6

179 Munster P. Krop I.E. LoRusso P. Ma C. Siegel B.A. Shields A.F. Safety and pharmacokinetics of MM-302, a HER2-targeted antibody-liposomal doxorubicin conjugate, in patients with advanced HER2-positive breast cancer: a phase 1 dose-escalation study Br J Cancer 119 2018 1086 1093 30361524 10.1038/s41416-018-0235-2 PMC6219487

180 Chawla S.P. Bruckner H. Morse M.A. Assudani N. Hall F.L. Gordon E.M. A phase I-II study using Rexin-G tumor-targeted retrovector encoding a dominant-negative cyclin G1 inhibitor for advanced pancreatic cancer Mol Ther Oncolytics 12 2019 56 67 30705966 10.1016/j.omto.2018.12.005 PMC6348982

181 Gargett T. Abbas M.N. Rolan P. Price J.D. Gosling K.M. Ferrante A. Phase I trial of Lipovaxin-MM, a novel dendritic cell-targeted liposomal vaccine for malignant melanoma Cancer Immunol Immunother 67 2018 1461 1472 30014244 10.1007/s00262-018-2207-z PMC11028356

182 Senzer N.N. Matsuno K. Yamagata N. Fujisawa T. Wasserman E. Sutherland W. MBP-426, a novel liposome-encapsulated oxaliplatin, in combination with 5-FU/leucovorin (LV): phase I results of a Phase I/Il study in gastro-esophageal adenocarcinoma, with pharmacokinetics Mol Cancer Therapeut 8 2009 C36

183 Sankhala K.K. Mita A.C. Adinin R. Wood L. Beeram M. Bullock S. A phase I pharmacokinetic (PK) study of MBP-426, a novel liposome encapsulated oxaliplatin J Clin Oncol 27 2009 2535

184 Shen S. Zhang Y. Chen K.G. Luo Y.L. Wang J. Cationic polymeric nanoparticle delivering CCR2 siRNA to inflammatory monocytes for tumor microenvironment modification and cancer therapy Mol Pharm 15 2018 3642 3653 29337566 10.1021/acs.molpharmaceut.7b00997

185 Zhan X. Jia L. Niu Y. Qi H. Chen X. Zhang Q. Targeted depletion of tumour-associated macrophages by an alendronate-glucomannan conjugate for cancer immunotherapy Biomaterials 35 2014 10046 10057 25245263 10.1016/j.biomaterials.2014.09.007

186 Shen S. Li H.J. Chen K.G. Wang Y.C. Yang X.Z. Lian Z.X. Spatial targeting of tumor-associated macrophages and tumor cells with a pH-sensitive cluster nanocarrier for cancer chemoimmunotherapy Nano Lett 17 2017 3822 3829 28488871 10.1021/acs.nanolett.7b01193

187 Liu Y. Wang J. Zhang J. Marbach S. Xu W. Zhu L. Targeting tumor-associated macrophages by MMP2-sensitive apoptotic body-mimicking nanoparticles ACS Appl Mater Interfaces 12 2020 52402 52414 33169982 10.1021/acsami.0c15983 PMC8229024

188 Guo N. Zhou Y. Wang T. Lin M. Chen J. Zhang Z. Specifically eliminating tumor-associated macrophages with an extra- and intracellular stepwise-responsive nanocarrier for inhibiting metastasis ACS Appl Mater Interfaces 12 2020 57798 57809 33325679 10.1021/acsami.0c19301

189 Liu L. He H. Liang R. Yi H. Meng X. Chen Z. ROS-inducing micelles sensitize tumor-associated macrophages to TLR3 stimulation for potent immunotherapy Biomacromolecules 19 2018 2146 2155 29669207 10.1021/acs.biomac.8b00239

190 Zhang F. Parayath N.N. Ene C.I. Stephan S.B. Koehne A.L. Coon M.E. Genetic programming of macrophages to perform anti-tumor functions using targeted mRNA nanocarriers Nat Commun 10 2019 3974 31481662 10.1038/s41467-019-11911-5 PMC6722139

191 Qu Y. Xu J. Zhang T. Chen Q. Sun T. Jiang C. Advanced nano-based strategies for mRNA tumor vaccine Acta Pharm Sin B 14 2024 170 189 38239240 10.1016/j.apsb.2023.07.025 PMC10792970

192 Zhang W. Jiang Y. He Y. Boucetta H. Wu J. Chen Z. Lipid carriers for mRNA delivery Acta Pharm Sin B 13 2023 4105 4126 37799378 10.1016/j.apsb.2022.11.026 PMC10547918

193 Peng H. Chen B. Huang W. Tang Y. Jiang Y. Zhang W. Reprogramming tumor-associated macrophages to reverse EGFR(T790M) resistance by dual-targeting codelivery of gefitinib/vorinostat Nano Lett 17 2017 7684 7690 29160717 10.1021/acs.nanolett.7b03756

194 Huang Z. Zhang Z. Jiang Y. Zhang D. Chen J. Dong L. Targeted delivery of oligonucleotides into tumor-associated macrophages for cancer immunotherapy J Control Release 158 2012 286 292 22119956 10.1016/j.jconrel.2011.11.013

195 Dai X. Meng J. Deng S. Zhang L. Wan C. Lu L. Targeting CAMKII to reprogram tumor-associated macrophages and inhibit tumor cells for cancer immunotherapy with an injectable hybrid peptide hydrogel Theranostics 10 2020 3049 3063 32194854 10.7150/thno.42385 PMC7053188

196 Ko Y.J. Lee J.W. Kim H. Cho E. Yang Y. Kim I.S. Versatile activatable vSIRP α -probe for cancer-targeted imaging and macrophage-mediated phagocytosis of cancer cells J Control Release 323 2020 376 386 32335154 10.1016/j.jconrel.2020.04.037

197 Kang M. Lee S.H. Kwon M. Byun J. Kim D. Kim C. Nanocomplex-mediated in vivo programming to chimeric antigen receptor-M1 macrophages for cancer therapy Adv Mater 33 2021 e2103258 10.1002/adma.202103258 34510559

198 Duan Y. Zhang W. Ouyang Y. Yang Q. Zhang Q. Zhao S. Proton sponge nanocomposites for synergistic tumor elimination via autophagy inhibition-promoted cell apoptosis and macrophage repolarization-enhanced immune response ACS Appl Mater Interfaces 16 2024 17285 17299 38539044 10.1021/acsami.4c01451

199 Zhang X. Wang J. Chen Z. Hu Q. Wang C. Yan J. Engineering PD-1-presenting platelets for cancer immunotherapy Nano Lett 18 2018 5716 5725 30063143 10.1021/acs.nanolett.8b02321

200 Chen H. Luan X. Paholak H.J. Burnett J.P. Stevers N.O. Sansanaphongpricha K. Depleting tumor-associated Tregs via nanoparticle-mediated hyperthermia to enhance anti-CTLA-4 immunotherapy Nanomedicine 15 2020 77 92 31868112 10.2217/nnm-2019-0190 PMC7132783

201 Mei K.C. Liao Y.P. Jiang J. Chiang M. Khazaieli M. Liu X. Liposomal delivery of mitoxantrone and a cholesteryl indoximod prodrug provides effective chemo-immunotherapy in multiple solid tumors ACS Nano 14 2020 13343 13366 32940463 10.1021/acsnano.0c05194 PMC8023019

202 Zhang Y.X. Zhao Y.Y. Shen J. Sun X. Liu Y. Liu H. Nanoenabled modulation of acidic tumor microenvironment reverses anergy of infiltrating t cells and potentiates anti-PD-1 therapy Nano Lett 19 2019 2774 2783 30943039 10.1021/acs.nanolett.8b04296

203 Gabizon A. Shmeeda H. Draper B. Parente-Pereira A. Maher J. Carrascal-Miniño A. Harnessing nanomedicine to potentiate the chemo-immunotherapeutic effects of doxorubicin and alendronate co-encapsulated in pegylated liposomes Pharmaceutics 15 2023 2606 38004584 10.3390/pharmaceutics15112606 PMC10675201

204 Liu Y.B. Chen X.Y. Yu B.X. Cen Y. Huang C.Y. Yan M.Y. Chimeric peptide-engineered self-delivery nanomedicine for photodynamic-triggered breast cancer immunotherapy by macrophage polarization Small 2023 e2309994 10.1002/smll.202309994 38095445

205 Wu F. Li Y. Meng Y. Cai X. Shi J. Li J. An ion-enhanced oncolytic virus-like nanoparticle for tumor immunotherapy Angew Chem Int Ed Engl 61 2022 e202210487 10.1002/anie.202210487 36117387

206 Qiu Q. Lu D. Liu G. Yang X. Li J. Ren H. Colistin crosslinked gemcitabine micelles to eliminate tumor drug resistance caused by intratumoral microorganisms Bioconjug Chem 33 2022 1944 1952 36191256 10.1021/acs.bioconjchem.2c00407

207 Zhang Y. Luo Y. Zhao J. Zheng W. Zhan J. Zheng H. Emerging delivery systems based on aqueous two-phase systems: a review Acta Pharm Sin B 14 2024 110 132 38239237 10.1016/j.apsb.2023.08.024 PMC10792979

208 Wang Y. Yu J. Luo Z. Shi Q. Liu G. Wu F. Engineering endogenous tumor-associated macrophage-targeted biomimetic nano-RBC to reprogram tumor immunosuppressive microenvironment for enhanced chemo-immunotherapy Adv Mater 33 2021 e2103497 10.1002/adma.202103497 34387375

209 Wang C. Wang J. Zhang X. Yu S. Wen D. Hu Q. In situ formed reactive oxygen species-responsive scaffold with gemcitabine and checkpoint inhibitor for combination therapy Sci Transl Med 10 2018 eaan3682 29467299 10.1126/scitranslmed.aan3682

210 Li Z. Wang Y. Shen Y. Qian C. Oupicky D. Sun M. Targeting pulmonary tumor microenvironment with CXCR4-inhibiting nanocomplex to enhance anti-PD-L1 immunotherapy Sci Adv 6 2020 eaaz9240 10.1126/sciadv.aaz9240 PMC7228744 32440550

211 Zhang W. Liu X. Cao S. Zhang Q. Chen X. Luo W. Multifunctional redox-responsive nanoplatform with dual activation of macrophages and t cells for antitumor immunotherapy ACS Nano 17 2023 14424 14441 37498878 10.1021/acsnano.2c12498

212 Yuan H. Gui H. Chen S. Zhu L. Wang C. Jing Q. Regulating tumor-associated macrophage polarization by cyclodextrin-modified PLGA nanoparticles loaded with R848 for treating colon cancer Int J Nanomed 19 2024 3589 3605 10.2147/IJN.S450205 PMC11032718 38645464

213 Valsalakumari R. Pandya A.D. Prasmickaite L. Kvalvaag A. Myrann A.G. Åslund A.K.O. Preclinical efficacy of cabazitaxel loaded poly(2-alkyl cyanoacrylate) nanoparticle variants Int J Nanomed 19 2024 3009 3029 10.2147/IJN.S450283 PMC10982070 38562610

214 Sun Z. Sun Z. Liu J. Gao X. Jiao L. Zhao Q. Engineered extracellular vesicles expressing siglec-10 camouflaged AIE photosensitizer to reprogram macrophages to active M1 phenotype and present tumor-associated antigens for photodynamic immunotherapy Small 20 2024 e2307147 10.1002/smll.202307147 37941517

215 Chen Y. Gong L. Cao Y. Liu Z. Wang Y. Cheng H. Reprogramming tumor-associated macrophages by a dually targeted milk exosome system as a potent monotherapy for cancer J Control Release 366 2024 395 409 38184235 10.1016/j.jconrel.2023.12.058

216 Yang Y. Yang Y. Chen M. Chen J. Wang J. Ma Y. Injectable shear-thinning polylysine hydrogels for localized immunotherapy of gastric cancer through repolarization of tumor-associated macrophages Biomater Sci 9 2021 6597 6608 34582523 10.1039/d1bm01053k

217 Tao Y. Ju E. Ren J. Qu X. Immunostimulatory oligonucleotides-loaded cationic graphene oxide with photothermally enhanced immunogenicity for photothermal/immune cancer therapy Biomaterials 35 2014 9963 9971 25224368 10.1016/j.biomaterials.2014.08.036

218 Zhang C. Xia D. Liu J. Huo D. Jiang X. Hu Y. Bypassing the immunosuppression of myeloid-derived suppressor cells by reversing tumor hypoxia using a platelet-inspired platform Adv Funct Mater 30 2020 2000189

219 Zhang Y.R. Luo J.Q. Zhang J.Y. Miao W.M. Wu J.S. Huang H. Nanoparticle-enabled dual modulation of phagocytic signals to improve macrophage-mediated cancer immunotherapy Small 16 2020 e2004240 10.1002/smll.202004240 33107142

220 Wen D. Liang T. Chen G. Li H. Wang Z. Wang J. Adipocytes encapsulating telratolimod recruit and polarize tumor-associated macrophages for cancer immunotherapy Adv Sci (Weinh) 10 2023 e2206001 10.1002/advs.202206001 PMC9929126 36526596

221 Lu L. Zi H. Zhou J. Huang J. Deng Z. Tang Z. Engineered microparticles for treatment of murine brain metastasis by reprograming tumor microenvironment and inhibiting MAPK Pathway Adv Sci (Weinh) 10 2023 e2206212 10.1002/advs.202206212 PMC10015898 36698296

222 He X.Y. Liu B.Y. Wu J.L. Ai S.L. Zhuo R.X. Cheng S.X. A dual macrophage targeting nanovector for delivery of oligodeoxynucleotides to overcome cancer-associated immunosuppression ACS Appl Mater Interfaces 9 2017 42566 42576 29160061 10.1021/acsami.7b13594

223 Yuan G. Liu Z. Wang W. Liu M. Xu Y. Hu W. Multifunctional nanoplatforms application in the transcatheter chemoembolization against hepatocellular carcinoma J Nanobiotechnol 21 2023 68 10.1186/s12951-023-01820-7 PMC9969656 36849981

224 Lu X. Liu J. Wu X. Ding B. Multifunctional DNA origami nanoplatforms for drug delivery Chem Asian J 14 2019 2193 2202 31125182 10.1002/asia.201900574

225 Lin Y. Zhong W. Wang M. Chen Z. Lu C. Yang H. Multifunctional carbon monoxide prodrug-loaded nanoplatforms for effective photoacoustic imaging-guided photothermal/gas synergistic therapy ACS Appl Bio Mater 4 2021 4557 4564 10.1021/acsabm.1c00285 35006792

226 Gao B. Xu J. Zhou J. Zhang H. Yang R. Wang H. Multifunctional pathology-mapping theranostic nanoplatforms for US/MR imaging and ultrasound therapy of atherosclerosis Nanoscale 13 2021 8623 8638 33929480 10.1039/d1nr01096d

227 Lecocq Q. De Vlaeminck Y. Hanssens H. D'Huyvetter M. Raes G. Goyvaerts C. Theranostics in immuno-oncology using nanobody derivatives Theranostics 9 2019 7772 7791 31695800 10.7150/thno.34941 PMC6831473

228 Anani T. Rahmati S. Sultana N. David A.E. MRI-traceable theranostic nanoparticles for targeted cancer treatment Theranostics 11 2021 579 601 33391494 10.7150/thno.48811 PMC7738852

229 de Aguiar Ferreira C. Heidari P. Ataeinia B. Sinevici N. Granito A. Kumar H.M. Immune checkpoint inhibitor-mediated cancer theranostics with radiolabeled anti-granzyme B peptide Pharmaceutics 14 2022 1460 35890355 10.3390/pharmaceutics14071460 PMC9325142

230 Zhao D.H. Li C.Q. Hou X.L. Xie X.T. Zhang B. Wu G.Y. Tumor microenvironment-activated theranostics nanozymes for fluorescence imaging and enhanced chemo-chemodynamic therapy of tumors ACS Appl Mater Interfaces 13 2021 55780 55789 34787410 10.1021/acsami.1c12611

231 Zhao X. Yang C.X. Chen L.G. Yan X.P. Dual-stimuli responsive and reversibly activatable theranostic nanoprobe for precision tumor-targeting and fluorescence-guided photothermal therapy Nat Commun 8 2017 14998 10.1038/ncomms14998 PMC5454460 28524865

232 Feng L. Cheng L. Dong Z. Tao D. Barnhart T.E. Cai W. Theranostic liposomes with hypoxia-activated prodrug to effectively destruct hypoxic tumors post-photodynamic therapy ACS Nano 11 2017 927 937 28027442 10.1021/acsnano.6b07525 PMC5372701

233 Singh S. Chauhan V. Barik P. Nano-based theranostics approach in the management of cancer: review Pharm Nanotechnol 13 2025 633 647 38685790 10.2174/0122117385300471240408063205

234 Kang H. Rho S. Stiles W.R. Hu S. Baek Y. Hwang D.W. Size-dependent EPR effect of polymeric nanoparticles on tumor targeting Adv Healthcare Mater 9 2020 e1901223 10.1002/adhm.201901223 PMC7224408 31794153

235 Chen H. Liu Y.C. Zhang Z. Li M. Du L. Wu P.C. Mouse Strain- and charge-dependent vessel permeability of nanoparticles at the lower size limit Front Chem 10 2022 944556 10.3389/fchem.2022.944556 PMC9339680 35923258

236 Li X. Montague E.C. Pollinzi A. Lofts A. Hoare T. Design of smart size-, surface-, and shape-switching nanoparticles to improve therapeutic efficacy Small 18 2022 e2104632 10.1002/smll.202104632 34936204

237 Roshanzadeh A. Park S. Ganjbakhsh S.E. Park J. Lee D.H. Lee S. Surface charge-dependent cytotoxicity of plastic nanoparticles in alveolar cells under cyclic stretches Nano Lett 20 2020 7168 7176 32876460 10.1021/acs.nanolett.0c02463

238 Bilardo R. Traldi F. Vdovchenko A. Resmini M. Influence of surface chemistry and morphology of nanoparticles on protein corona formation Wiley Interdiscip Rev Nanomed Nanobiotechnol 14 2022 e1788 10.1002/wnan.1788 PMC9539658 35257495

239 Nakamura T. Sato T. Endo R. Sasaki S. Takahashi N. Sato Y. STING agonist loaded lipid nanoparticles overcome anti-PD-1 resistance in melanoma lung metastasis via NK cell activation J Immunother Cancer 9 2021 e002852 10.1136/jitc-2021-002852 PMC8256839 34215690

240 Rosenblum D. Gutkin A. Kedmi R. Ramishetti S. Veiga N. Jacobi A.M. CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy Sci Adv 6 2020 eabc9450 10.1126/sciadv.abc9450 PMC7673804 33208369

241 Kazemian P. Yu S.Y. Thomson S.B. Birkenshaw A. Leavitt B.R. Ross C.J.D. Lipid-nanoparticle-based delivery of CRISPR/Cas9 genome-editing components Mol Pharm 19 2022 1669 1686 35594500 10.1021/acs.molpharmaceut.1c00916 PMC9176214

242 Zou Y. Sun X. Yang Q. Zheng M. Shimoni O. Ruan W. Blood-brain barrier-penetrating single CRISPR-Cas9 nanocapsules for effective and safe glioblastoma gene therapy Sci Adv 8 2022 eabm8011 10.1126/sciadv.abm8011 PMC9020780 35442747

243 Li Y. Li S. Jiang Z. Tan K. Meng Y. Zhang D. Targeting lymph node delivery with nanovaccines for cancer immunotherapy: recent advances and future directions J Nanobiotechnol 21 2023 212 10.1186/s12951-023-01977-1 PMC10327386 37415161

244 Mendez-Gomez H.R. DeVries A. Castillo P. von Roemeling C. Qdaisat S. Stover B.D. RNA aggregates harness the danger response for potent cancer immunotherapy Cell 187 2024 2521 38697107 10.1016/j.cell.2024.04.003 PMC11767857

245 Sun R. Chen H. Zheng J. Yoshitomi T. Kawazoe N. Yang Y. Composite scaffolds of gelatin and Fe(3) O(4) nanoparticles for magnetic hyperthermia-based breast cancer treatment and adipose tissue regeneration Adv Healthcare Mater 12 2023 e2202604 10.1002/adhm.202202604 36534783

246 Molina-Peña R. Haji Mansor M. Najberg M. Thomassin J.M. Gueza B. Alvarez-Lorenzo C. Nanoparticle-containing electrospun nanofibrous scaffolds for sustained release of SDF-1 α Int J Pharm 610 2021 121205 10.1016/j.ijpharm.2021.121205 34670119

247 Xiang Y. Tian M. Huang J. Li Y. Li G. Li X. LMP2-mRNA lipid nanoparticle sensitizes EBV-related tumors to anti-PD-1 therapy by reversing T cell exhaustion J Nanobiotechnol 21 2023 324 10.1186/s12951-023-02069-w PMC10486025 37679769

248 Ding H. Tan P. Fu S. Tian X. Zhang H. Ma X. Preparation and application of pH-responsive drug delivery systems J Control Release 348 2022 206 238 35660634 10.1016/j.jconrel.2022.05.056

249 Wang C. Li F. Zhang T. Yu M. Sun Y. Recent advances in anti-multidrug resistance for nano-drug delivery system Drug Deliv 29 2022 1684 1697 35616278 10.1080/10717544.2022.2079771 PMC9154776

250 Xiao Y. Li X. Mao J. Zheng H. Ji R. Wang Z. Reverse anti-breast cancer drug resistance effects by a novel two-step assembled nano-celastrol medicine Nanoscale 14 2022 7856 7863 35583119 10.1039/d2nr02064e

251 Rahman M.M. Wang J. Wang G. Su Z. Li Y. Chen Y. Chimeric nanobody-decorated liposomes by self-assembly Nat Nanotechnol 19 2024 818 824 38374413 10.1038/s41565-024-01620-6 PMC11904852

252 Georgievski A. Bellaye P.S. Tournier B. Choubley H. Pais de Barros J.P. Herbst M. Valrubicin-loaded immunoliposomes for specific vesicle-mediated cell death in the treatment of hematological cancers Cell Death Dis 15 2024 328 38734740 10.1038/s41419-024-06715-5 PMC11088660

253 Charbe N.B. Amnerkar N.D. Ramesh B. Tambuwala M.M. Bakshi H.A. Aljabali A.A.A. Small interfering RNA for cancer treatment: overcoming hurdles in delivery Acta Pharm Sin B 10 2020 2075 2109 33304780 10.1016/j.apsb.2020.10.005 PMC7714980

254 Zhou Y. Yuan J. Xu K. Li S. Liu Y. Nanotechnology reprogramming metabolism for enhanced tumor immunotherapy ACS Nano 18 2024 1846 1864 38180952 10.1021/acsnano.3c11260

255 Stoller M. Di Palma L. Vuppala S. Verdone N. Vilardi G. Process intensification techniques for the production of nano- and submicronic particles for food and medical applications Curr Pharm Des 24 2018 2329 2338 29792139 10.2174/1381612824666180523125144

256 Fu S. Li G. Zang W. Zhou X. Shi K. Zhai Y. Pure drug nano-assemblies: a facile carrier-free nanoplatform for efficient cancer therapy Acta Pharm Sin B 12 2022 92 106 35127374 10.1016/j.apsb.2021.08.012 PMC8799886

257 Ramos T.I. Villacis-Aguirre C.A. López-Aguilar K.V. Santiago Padilla L. Altamirano C. Toledo J.R. The Hitchhiker's guide to human therapeutic nanoparticle development Pharmaceutics 14 2022 247 35213980 10.3390/pharmaceutics14020247 PMC8879439

258 Chen D. Wei Z. Wang Z. Yang Y. Chen L. Wang X. Long-term exposure to nanoplastics reshapes the microbial interaction network of activated sludge Environ Pollut 314 2022 120205 10.1016/j.envpol.2022.120205 36210595

259 Kong T. Zhang S.H. Zhang C. Zhang J.L. Yang F. Wang G.Y. Long-term effects of unmodified 50 nm ZnO in mice Biol Trace Elem Res 189 2019 478 489 30109551 10.1007/s12011-018-1477-9

260 Khoobchandani M. Katti K.K. Karikachery A.R. Thipe V.C. Srisrimal D. Dhurvas Mohandoss D.K. New approaches in breast cancer therapy through green nanotechnology and nano-ayurvedic medicine - pre-clinical and pilot human clinical investigations Int J Nanomed 15 2020 181 197 10.2147/IJN.S219042 PMC6970107 32021173

261 Liu S.L. Wang Z.G. Xie H.Y. Liu A.A. Lamb D.C. Pang D.W. Single-virus tracking: from imaging methodologies to virological applications Chem Rev 120 2020 1936 1979 31951121 10.1021/acs.chemrev.9b00692 PMC7075663

262 Chen Y. Zhang X. Liu W. Effect of metal and metal oxide engineered nano particles on nitrogen bio-conversion and its mechanism: a review Chemosphere 287 2022 132097 10.1016/j.chemosphere.2021.132097 34523458

263 Wang L. Luo R. Onyshchenko K. Rao X. Wang M. Menz B. Adding liposomal doxorubicin enhances the abscopal effect induced by radiation/ α PD1 therapy depending on tumor cell mitochondrial DNA and cGAS/STING J Immunother Cancer 11 2023 e006235 10.1136/jitc-2022-006235 PMC10462948 37640480

264 Alimohammadi R. Alibeigi R. Nikpoor A.R. Chalbatani G.M. Webster T.J. Jaafari M.R. Encapsulated checkpoint blocker before chemotherapy: the optimal sequence of anti-CTLA-4 and doxil combination therapy Int J Nanomed 15 2020 5279 5288 10.2147/IJN.S260760 PMC7394514 32801691

265 Sparreboom A. Scripture C.D. Trieu V. Williams P.J. De T. Yang A. Comparative preclinical and clinical pharmacokinetics of a cremophor-free, nanoparticle albumin-bound paclitaxel (ABI-007) and paclitaxel formulated in Cremophor (Taxol) Clin Cancer Res 11 2005 4136 4143 15930349 10.1158/1078-0432.CCR-04-2291

266 Zhang Q. Huang X.E. Gao L.L. A clinical study on the premedication of paclitaxel liposome in the treatment of solid tumors Biomed Pharmacother 63 2009 603 607 19019625 10.1016/j.biopha.2008.10.001

267 Björn N. Jakobsen Falk I. Vergote I. Gréen H. ABCB1 Variation affects myelosuppression, progression-free survival and overall survival in paclitaxel/carboplatin-treated Ovarian Cancer patients Basic Clin Pharmacol Toxicol 123 2018 277 287 29504705 10.1111/bcpt.12997

268 Raj S. Khurana S. Choudhari R. Kesari K.K. Kamal M.A. Garg N. Specific targeting cancer cells with nanoparticles and drug delivery in cancer therapy Semin Cancer Biol 69 2021 166 177 31715247 10.1016/j.semcancer.2019.11.002

269 Bulbake U. Doppalapudi S. Kommineni N. Khan W. Liposomal formulations in clinical use: an updated review Pharmaceutics 9 2017 12 28346375 10.3390/pharmaceutics9020012 PMC5489929

270 Drabczyk A. Kudłacik-Kramarczyk S. Jamroży M. Krzan M. Biomaterials in drug delivery: advancements in cancer and diverse therapies-review Int J Mol Sci 25 2024 3126 38542103 10.3390/ijms25063126 PMC10970185

This article is part of a special issue entitled: Disease Microenvironment Modulation published in Acta Pharmaceutica Sinica B.

Peer review under the responsibility of Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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