Introduction
As global aging progresses, the incidence of newly diagnosed cancers is steadily rising. By 2050, it is estimated that approximately 35 million new cancer cases will occur annually worldwide ( 1 ). Presently, the elderly population (≥65 years) accounts for about 64% of new cancer cases and 71.3% of cancer-related deaths ( 2 ), with these proportions projected to increase further. Elderly cancer patients experience a distinct immune imbalance shaped by tumor-induced immunosuppression, age-associated immunosenescence, and inflammaging ( 3 , 4 ). This unique immunological state contributes to the high toxicity of conventional therapies, with grade 3–5 adverse events occurring in 53–83% of cases and a treatment-related mortality rate of 2% ( 5 ), alongside overall poor tolerance to therapy ( 6 ). Moreover, immune checkpoint blockade with PD-1/PD-L1 inhibitors exhibits limited effectiveness in older patients ( 7 ) and a higher risk of immune-related adverse events affecting the skin, kidneys, and gastrointestinal tract ( 8 , 9 ).
Oncolytic viruses (OVs), as a novel class of cancer immunotherapies, selectively infect tumor cells and induce immunogenic cell death (ICD), promoting the release of damage-associated molecular patterns (DAMPs) and tumor-associated antigens. Additionally, they activate the cGAS–STING innate immune pathway and stimulate type I interferon production, thereby converting immunologically “cold” tumors into “hot” ones ( 10 ). Notably, in the context of melanoma/sarcoma subgroups, OVs have achieved objective response rates of 26.4–32.9%, complete responses in 15.0%, durable response rates (DRR ≥ 6 months) in 16.3%, and extended the median duration of response to 33.7 months ( 11 , 12 ). However, the overall incidence of adverse events (AEs) related to OV therapy is 26.6%, nearly 2.07 times higher than in control groups ( 13 ). Furthermore, elderly patients remain severely underrepresented in OV trials, especially with those aged ≥70 years comprising only 17.7% of early-phase clinical studies ( 14 ). This lack of age-specific data casts doubt on the generalizability of OV findings to older populations.
Due to their distinctive immunosuppressive profiles ( 15 – 17 ), elderly patients undergoing OV therapy may be vulnerable to multiple complications, including the dual burden of immune overload and exhaustion ( 18 , 19 ), cytokine storm-induced inflammation ( 18 , 20 ), and compromised immune tolerance ( 21 – 23 ). This complex and multifactorial immune state heightens both the risks and limitations of OV-based therapy in the elderly, posing significant safety and efficacy challenges ( 24 – 26 ). Despite this, there is still a dearth of systematic investigations into the mechanisms of OV therapy under the backdrop of immune frailty in aging populations ( 14 ). Most existing studies rely on young or adult models and cohorts, leaving gaps in our knowledge regarding elderly-specific immune microenvironmental changes, virus–host interaction patterns, and optimal treatment timing ( 27 ).
This review seeks to elucidate the immunological features unique to elderly individuals and their interactions with OV therapy, focusing on three key questions ( Figure 1 ):

1. What are the pathophysiological characteristics of the immune microenvironment in elderly cancer patients? How do tumor-induced immunosuppression and age-related immunosenescence synergize at the molecular level to create a state of immune frailty? How does immunological vulnerability across different age stages affect immune function?
2. What unique immunotoxicities are associated with OV therapy in elderly patients? What are the mechanisms and clinical manifestations of the vicious cycle of immune overload and exhaustion, cytokine release syndrome, and loss of immune tolerance?
3. Why is it essential to prioritize the unique immune status of elderly cancer patients? Can precision interventions targeting immune frailty improve therapeutic windows? Can integrated strategies—such as immune reconstruction technologies, pharmacological optimization, and stratified management systems—maximize the benefits while minimizing the risks of OV therapy in older adults?How should this be achieved?
Unique immune frailty in elderly cancer patients
The immune microenvironment of elderly cancer patients (≥65 years) is distinctively complex ( 17 ), characterized by tumor-induced immunosuppression, age-related immunosenescence, and their synergistic disruption of immune homeostasis. Together, these factors constitute a unique state of immune frailty in elderly cancer patients.
Tumor-induced immunosuppression is commonly observed in this population ( Table 1 ). Specifically, cancer cells suppress effector T cell activity and function through the secretion of immunosuppressive cytokines such as transforming growth factor-β (TGF-β), interleukin-10 (IL-10), and vascular endothelial growth factor (VEGF) ( 28 , 29 ). In addition, they activate suppressive metabolic pathways, including the denosine axis (CD39/CD73 → adenosine) and the tryptophan–kynurenine–AhR pathway (IDO1/IDO2/TDO2 → Kyn → AhR), further impairing T cell function ( 16 ). Tumor cells may also directly engage inhibitory immune checkpoints, such as programmed death-ligand 1 (PD-L1) and cytotoxic T lymphocyte-associated protein 4 (CTLA-4), thereby inducing T cell apoptosis ( 30 ). Concurrently, the tumor immune microenvironment recruits and activates suppressive cell populations such as regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs), both of which significantly inhibit antitumor immunity ( 31 ). The situation is further compounded by pro-inflammatory cytokines secreted via the senescence-associated secretory phenotype (SASP), including IL-6, IL-8, and TGF-β, which synergize with tumor-derived signals to exacerbate MDSC and Treg-mediated immunosuppression ( 17 ). This immunosuppressive milieu is frequently observed in elderly cancer patients and is associated with a reduced 5-year survival rate of just 38–50% among breast cancer patients aged over 70 years ( 32 ).
Table 1
Tumor-induced immunosuppression in elderly cancer patients.
| Mechanism | Specific details | Evidence | Ref. |
| Co-upregulation of immune checkpoints and tryptophan metabolism → suppressive microenvironment | PD-L1↑, IDO1↑ | Integrated immunogenomic analysis indicates that with aging, PD-L1 and IDO1 expression increases in normal brain tissues, accompanied by elevated peripheral Tregs and reduced cytotoxic CD8 + T cells, especially in the 60–69 age group. These findings suggest a link between aging (≥65 years) and enhanced immunosuppression, consistent with the peak incidence of glioblastoma. | ( 15 , 111 ) |
| Treg-driven immunosuppression within tumors | Treg accumulation/activation | In a cohort of ≥70-year-old breast cancer patients (n=40), individuals lacking Her2-reactive CD8 + T cells and exhibiting high Treg levels had a 5-year survival rate of 50%, compared to 100% in those with both Her2 responsiveness and low Tregs (P=0.03). This implies Treg-associated suppression correlates with worse outcomes. | ( 32 ) |
| Tumor-induced myeloid suppression | MDSC expansion | The same elderly breast cancer study found that patients with absent Her2-reactive CD8 + T cells and elevated Lin - CD14 + HLA-DR - MDSCs had a 5-year survival of 38% versus 100% (P=0.03), highlighting the clinical relevance of MDSCs in older patients. | ( 32 ) |
| Adenosine-mediated immunosuppressive axis | CD39/CD73 → adenosine (A2AR) | A stratified study in head and neck squamous cell carcinoma (HNSCC) (young vs. ≥70 years) revealed significantly higher Treg infiltration in tumors than in peripheral blood. Aging was associated with elevated PD-1 on peripheral T cells and decreased CD73 expression. Mechanistic reviews confirm CD39/CD73/A2AR signaling contributes to immunosuppression across multiple cancers and represents a clinical target. | ( 16 , 112 ) |
| Kynurenine–AhR pathway | IDO1/IDO2/TDO2 → kynurenine → AhR | Histological analysis in glioblastoma (n=108) revealed high IDO1/IDO2/TDO2 and AhR expression correlated with significantly worse overall survival (multivariate: IDO1 HR 3.39; IDO2 HR 2.78; AhR HR 1.90). Dysregulated kynurenine pathway (KP) is a key driver of tumor immune evasion and is linked to advanced age. | ( 113 ) |
| Senescent microenvironment amplifies tumor-induced suppression | SASP cytokines (e.g., IL-6, IL-8, TGF-β) → MDSC/Treg recruitment and suppressive cascades | Reviews of aged tumor microenvironments show that senescence-associated secretory phenotype (SASP) factors synergize with tumors to enhance MDSC/Treg-mediated immunosuppression, thereby impairing antitumor immunity and immunotherapy responses. This is a key component of "immune frailty" in elderly patients. | ( 17 ) |
| Checkpoint exhaustion (age-enhanced) | PD-1 overexpression / contraction of effector CD8 + T cells | In elderly HNSCC patients, PD-1 levels on peripheral T cells were higher than in younger individuals, and PD-1 expression was even more pronounced on tumor-infiltrating T cells. This suggests tumor-induced exhaustion is exacerbated in older adults and theoretically indicates checkpoint inhibitor responsiveness. | ( 16 ) |
Age-related immunosenescence leads to thymic involution and a marked reduction in naïve T cells and T cell receptor (TCR) diversity and quantity, thereby compromising antigen recognition and immune responsiveness ( 15 , 33 ). Metabolic reprogramming also occurs in aged T cells, affecting mitochondrial function, glycolytic pathways, and chromatin accessibility, which diminishes the quality of both effector and memory T cells ( 15 , 34 ). In addition to T cell defects, age-related B cells (ABCs), particularly the T-bet+CD11c+ phenotype, become more prevalent, weakening humoral immune responses and impairing antigen-specific and antitumor immunity ( 35 ). Hematopoietic stem cells (HSCs) in the elderly exhibit a “myeloid bias” ( 19 ), resulting in increased MDSC production and activity, suppression of T cell function, and enhanced Treg expansion ( 36 ). Aging also impairs dendritic cell (DC) maturation, chemotactic ability, and cytokine secretion, leading to both quantitative and functional decline. Although natural killer (NK) cell numbers may increase with age, their cytotoxicity and cytokine production capacity are significantly diminished, compromising the first line of defense against tumors ( 37 , 38 ). Moreover, elderly individuals often present with “inflammaging,” a pro-inflammatory state strongly associated with adverse outcomes such as frailty and mortality. This state is marked by chronically elevated levels of IL-6 and TNF-α ( 39 ), which further promote myeloid skewing and MDSC expansion, suppress adaptive immunity, and contribute to a tumor microenvironment characterized by both immunosuppression and chronic inflammation ( 40 ). These immunosenescence-related changes collectively result in profound immunosuppression ( Table 2 ).
Table 2
Age-related immune system decline in elderly cancer patients.
| Mechanism | Specific details | Evidence | Impact | Ref. |
| Thymic involution → reduced naïve T cells and TCR diversity | Reduced thymic output, fewer RTEs/naïve T cells, narrowed TCR repertoire | Consistent findings across studies indicate that aging leads to significant reductions in thymic output, peripheral naïve T cells, and TCR diversity | Impaired recognition of novel antigens (including tumor neoantigens), weakened primary responses, and compromised antitumor immunity initiation | ( 15 , 33 , 114 ) |
| T-cell subset remodeling and accumulation of senescent phenotypes | Decline in CD8 + naïve T cells; increase in CD8 + CD28 - /CD57 + /KLRG1 + senescent/terminal memory-like cells; rise in PD-1 + T cells | Metabolic and transcriptional analyses show aged naïve T cells exhibit impaired TCR signaling and mitochondrial biogenesis | Limited effector T-cell priming, expansion, and memory formation; response to ICB therapy becomes more context-dependent | ( 15 ) |
| Myeloid-biased hematopoiesis | Increased HSC frequency with a bias toward myeloid differentiation | A 2011 PNAS study demonstrated a significant increase in “myeloid-biased” HSCs with age | Promotes accumulation of tumor-associated suppressive myeloid cells and contributes to a fragile tumor microenvironment (TME) characterized by both inflammation and immunosuppression | ( 19 ) |
| Expansion of myeloid-derived suppressor cells (MDSCs) with age | Increased MDSC numbers and function in peripheral and secondary lymphoid tissues | Multiple reviews and empirical studies suggest aging and chronic low-grade inflammation drive MDSC expansion | MDSCs suppress T-cell activity, promote Treg expansion, and facilitate immune escape, weakening antitumor immunity and impairing vaccine/immunotherapy efficacy | ( 36 , 115 ) |
| Decrease in dendritic cell (DC) quantity/function | Reduced maturation markers, chemotactic ability, and effector cytokine production | Foundational reviews show that aging and cancer both impair DC quantity and quality | Compromised antigen presentation and naïve T-cell priming hinder neoantigen-driven antitumor responses | ( 116 ) |
| Functional decline in NK cells | NK cell numbers may increase, but cytotoxicity and cytokine production decline | Systematic impairment of NK phenotype and function with age has been observed | Reduced immune surveillance against MHC-I-deficient tumor cells facilitates immune evasion | ( 37 , 117 ) |
| B-cell aging and accumulation of age-associated B cells (ABCs) | Significant rise in ABCs (e.g., T-bet + CD11c + ) with aging; decline in humoral immunity quality | ABCs are elevated in aged and disease populations; correlations also observed in cancer immunotherapy cohorts | Impairs antigen-specific humoral immunity and vaccine response quality; inflammatory/autoimmune-like signals may disrupt antitumor immunity | ( 35 , 118 ) |
| Inflammaging | Chronic elevation of IL-6, TNF-α, and other proinflammatory cytokines | Large cohort studies link elevated IL-6 to adverse outcomes in elderly individuals | Promotes myeloid skewing and MDSC expansion; inhibits adaptive immunity; shapes an “inflammatory-suppressive” TME | ( 39 ) |
| Metabolic and epigenetic immune senescence | Alterations in mitochondrial function, glycolysis/PPP, and chromatin accessibility | Integrative reviews link age-associated metabolic changes to T-cell function decline | Restricts effector and memory T-cell quality; impairs sustained control over tumor antigens | ( 15 , 34 ) |
| Global decline in innate immune function | Multi-dimensional changes in numbers, receptors, and effector functions of neutrophils, macrophages, DCs, NKs | Human studies summarize the pervasive impact of aging on innate immunity | Disruption of innate–adaptive immune crosstalk; impairs early tumor recognition and activation of adaptive immunity | ( 117 ) |
When tumor-induced immunosuppression coexists with age-related immunosenescence, their interplay gives rise to a vicious cycle of mutual reinforcement ( Table 3 ). Chronically elevated IL-6 activates the JAK/STAT3 signaling pathway, upregulating PD-L1 expression on tumor cells. It also inhibits tumor antigen presentation via the NMD/SMG1 pathway, thereby facilitating immune escape and further weakening antitumor immunity ( 41 , 42 ). SASP exacerbates immunosuppression by increasing the number of MDSCs and Tregs ( 17 ), upregulating Treg expression and FoxP3 levels ( 43 ). Tumor-derived extracellular vesicles (tEVs) carrying PD-L1 can induce T cell DNA damage and lipid metabolism reprogramming, thereby accelerating T cell senescence ( 44 ). Simultaneously, aged microenvironments release extracellular vesicles (aged-EVs) that remodel the tumor milieu to favor cancer progression. When combined with tEV-PD-L1, these factors further intensify immunosuppression ( 45 ). Tumor-secreted suppressive factors such as VEGF aggravate the existing decline in antigen presentation and IFN production capacity ( 46 ), leading to severely compromised tumor antigen recognition and presentation by antigen-presenting cells (APCs) like DCs ( 47 ).
Table 3
Synergistic effects between tumor-induced immunosuppression and immunosenescence in elderly cancer patients.
| Mechanism | Specific details | Evidence | Study subjects | Ref. |
| Inflammaging → Tumor Immune Evasion | IL-6/JAK/STAT3 axis upregulates PD-L1 and suppresses anti-tumor immunity; STAT3 also inhibits neoantigen presentation via NMD/SMG1 pathway | IL-6 dose-dependently activates STAT3 and increases PD-L1 expression (in vitro); IL-6/STAT3–induced SMG1 limits frameshift neoantigen expression, weakening immune responses (human cohorts & mechanistic studies) | Osteosarcoma, gastric cancer | ( 38 , 41 , 42 , 119 ) |
| SASP → Expansion of Immunosuppressive Cells | SASP factors (IL-6/IL-8/IL-10) in aged TME recruit and expand MDSCs/Tregs while suppressing effector T/NK cytotoxicity | Aged tumor-bearing mice show significant MDSC accumulation in bone marrow/blood/spleen; Tregs and FoxP3 levels are elevated in elderly lung cancer patients and Lewis lung carcinoma models | Multiple cancers; Lewis lung cancer; human cohorts | ( 43 ) |
| Tumor-derived EVs (tEVs) → T Cell Senescence/Exhaustion | tEV-PD-L1 induces T cell DNA damage and lipid metabolic reprogramming → senescence; inhibition of EV synthesis or lipid metabolism restores T cell function and enhances anti–PD-L1 efficacy | In both human/mouse melanoma models, tEV–PD-L1 drives T cell senescence; combining metabolic or EV inhibition improves immunotherapy response | Melanoma (human & mouse) | ( 44 , 120 ) |
| Tumor-secreted VEGF × Age-related DC Dysfunction | Tumor-derived VEGF impairs DC maturation; aging further reduces DC antigen presentation and IFN production → synergistic inhibition of T cell priming | Classical studies confirm VEGF-induced DC dysfunction; aged human/mouse DCs show reduced antigen presentation and cytokine secretion | Multiple cancers | ( 46 , 121 , 122 ) |
| Aged Treg Accumulation × Tumor-induced Tolerance | Increased Tregs in aged spleen/lymph nodes/tumors reinforce tumor-induced tolerance and suppress effector T cells | Elevated Treg infiltration and FoxP3 mRNA in elderly Lewis lung cancer models and patients; multiple studies show age-related Treg expansion | Lung cancer (human & mouse) | ( 43 ) |
| Aged Fibroblasts/Matrix Remodeling × Tumor Immunosuppression | Aged fibroblasts secrete sFRP2 and lipids, reshaping ECM/metabolism, promoting metastasis/drug resistance and suppressing immunity | sFRP2 elevation promotes melanoma metastasis and resistance; aged TME alters immune landscape and therapeutic efficacy | Melanoma | ( 123 , 124 ) |
| T Cell Repertoire Attrition × Tumor PD-1/PD-L1 Axis | Thymic involution and naïve T cell output decline, with accumulation of exhausted phenotypes (PD-1↑, KLRG1↑), making them more susceptible to PD-L1–mediated suppression | Reviews and multiple human/mouse studies show CD27/CD28 loss and PD-1 upregulation in aged T cells; thymic atrophy reduces TCR diversity | Multiple cancers | ( 43 ) |
| Aging × Efficacy of Immune Checkpoint Therapy | Aging alters Treg/CD8 ratios and IFN signaling, leading to heterogeneous PD-1/PD-L1 responses | In melanoma, patients >60 years respond better to anti–PD-1 due to reduced Treg:CD8 ratios (human & mouse, n=538); aged TNBC mice show poor response to anti–PD-L1 | Melanoma, TNBC | ( 43 , 125 ) |
| Aged Extracellular Vesicles (aged-EVs) × Tumor-permissive TME | Aged tissue–derived EVs remodel the TME to promote tumor permissiveness, synergizing with tEV-PD-L1 effects | Aged-EVs create a tumor-permissive microenvironment (in vitro & in vivo) | Multiple cancers | ( 45 ) |
Moreover, the degree of frailty across different stages of aging significantly impacts the immune system of elderly cancer patients ( Table 4 ). Patients with mild frailty (65–74 years, G8 score 15–17) typically exhibit only mild thymic involution. Naïve T cells are relatively preserved, baseline inflammatory markers such as IL-6 remain low (<5 pg/mL), MDSCs show only slight increases, and Tregs expand modestly (baseline +10–20%). As a result, these patients retain a 25–30% response rate to immunotherapy ( 48 , 49 ). In contrast, moderately frail patients (70–84 years or ≥3 comorbidities, G8 score 11–14) exhibit more pronounced thymic atrophy, significant reductions in TCR diversity, elevated inflammatory load (IL-6 at 5–15 pg/mL), 1.5–2-fold expansion of MDSCs, and a 30–50% increase in Tregs, resulting in reduced immunotherapy response rates of 15–25% ( 43 , 50 ). Severely frail patients (≥85 years or G8 score ≤10) show marked thymic atrophy, accumulation of terminally differentiated T cells (notably increased CD28–CD57+), and severe baseline inflammation (IL-6 >15 pg/mL). MDSCs are elevated by more than 2-fold, and Tregs expand by 50–80%, leading to immunotherapy response rates dropping below 15% ( 34 , 51 ). These frailty-related immune differences across age groups directly affect the efficacy of OV therapy by modulating immune responsiveness, ultimately influencing therapeutic outcomes and associated risks.
Table 4
Stratification of frailty levels and immunotherapy response in elderly cancer patients.
| Frailty level | Age range | G8 score | Key immunological features | Representative biomarkers | Degree of immunosuppression | Expected treatment tolerance | Ref. |
| Mild Frailty | 65–74 years | 15–17 | Mild thymic atrophy; relative preservation of naïve T cells; higher proportion of CD28 + T cells | IL-6 < 5 pg/mL; CRP < 3 mg/L; slight increase in MDSCs; Tregs baseline +10–20% | Mild | Response rate 25–30% | ( 48 , 49 ) |
| Moderate Frailty | 70–84 years or ≥3 comorbidities | 11–14 | Moderate thymic atrophy; reduced TCR diversity; increased CD57 + T cells | IL-6 5–15 pg/mL; CRP 3–10 mg/L; MDSCs increased 1.5–2×; Tregs baseline +30–50% | Moderate | Response rate 15–25% | ( 43 , 50 ) |
| Severe Frailty | ≥85 years or G8 ≤10 | ≤10 | Severe thymic atrophy; accumulation of terminally differentiated T cells; marked elevation of CD28 - CD57 + T cells | IL-6 > 15 pg/mL; CRP > 10 mg/L; MDSCs >2× increase; Tregs baseline +50–80% | Severe | Response rate <15% | ( 34 , 51 ) |
Novel immunological challenges of oncolytic virus therapy in elderly cancer patients
Oncolytic virus (OV) therapy presents several immunological challenges in elderly cancer patients, including immune overload, exhaustion of immune reserves, cytokine storm-driven inflammatory cascades, and disruption of self-tolerance. These adverse effects can severely compromise the already fragile immune landscape in aged individuals ( Figure 2 ).

A major concern is the vicious cycle between immune overload and immune reserve exhaustion, which are tightly interconnected and dialectically unified ( Table 5 ). Specifically, OV therapy triggers acute surges in pro-inflammatory cytokines such as IL-6, type I/II interferons, and TNF, which markedly upregulate Pdcd1 (PD-1) and Cd274 (PD-L1) transcription in T cells, leading to functional overload and subsequent depletion of immune reserves ( 18 , 52 ). Moreover, combinatorial regimens involving T-VEC and chemotherapeutics (e.g., doxorubicin) can further escalate IL-6 levels from ~56 pg/mL to ~170 pg/mL, intensifying this immunological strain ( 53 ).
Table 5
The dual malignant cycle of immune overload and immunological resource exhaustion in elderly cancer patients under OV therapy.
| Mechanism | Specific details | Study design | Data | Impact | Ref. |
| Surge of Acute Inflammatory Cytokines (CRS-like/“Localized Storm”) | Rapid elevation of IL-6, TNF-α, IFN-α/β amplifies innate immunity | i.p. oHSV-2 (OH2) in murine malignant ascites model | Significant IL-6 surge on days 4–9 post-treatment; IL-6R blockade reduces efficacy but reveals intense inflammation; scRNA-seq: Pdcd1/Cd274 upregulated | Inflammaging and impaired homeostasis increase risk of systemic collapse in elderly | ( 18 ) |
| Systemic Cytokine Cascade | Systemic elevation of IFN-α/β, IFN-γ, TNF-α | Phase I trial of IV pelareorep (reovirus) in solid tumors | IFNs and TNF increase post-treatment, indicating systemic immune cascade activation | Elderly patients with impaired type I IFN regulation and lowered inflammation threshold face higher exhaustion/adverse event risks | ( 52 , 126 ) |
| High Antiviral Load → Antigen/Pathway Competition | Strong antiviral T cell/ISG responses upregulate PD-1/PD-L1, diverting resources | scRNA-seq of oHSV-2–treated ascites | Pdcd1/Cd274 transcription upregulated post-treatment, indicating exhaustion drift under intense antiviral pressure | Aged individuals with reduced naïve T pool and antiviral memory skew may exhibit resource hijacking | ( 18 ) |
| Metabolic Resource Exhaustion in Tumor-infiltrating T Cells | Glucose/mitochondrial depletion, lipid imbalance → impaired effector function | Vaccinia virus in melanoma-bearing mice | TILs show severe metabolic deficits post-VV treatment; leptin-loaded VV restores metabolism and tumor clearance | Aged T cells show reduced mitochondrial function and metabolic plasticity, increasing energy exhaustion risk | ( 56 ) |
| Macrophage/Myeloid Overload and Lipid Congestion | Tumor debris and cholesterol overload impair phagocytosis and TAM function | Glioma model; oncolytic adenovirus | OV-induced debris triggers TAM cholesterol overload; ApoA1-armed OV rescues phagocytosis and enhances tumor control | Lipid dysregulation and chronic inflammation in elderly promote myeloid congestion | ( 67 ) |
| Combination Therapy Exacerbates Inflammatory Load | Chemo or immune activators with OV further increase IL-6 | In vitro: T-VEC/lysate + doxorubicin on SK29MEL melanoma cells | IL-6 increases from 56 to ~170 pg/mL; highest in combined chemo + T-VEC lysate | Multimorbidity and diminished hepatic/renal/marrow reserves make elderly more vulnerable to systemic inflammation | ( 53 ) |
| Elevated Baseline Inflammaging → Lower Exhaustion Threshold | Baseline IL-6/TNF-α high; naïve T cell decline; PD-1/TIM-3 ↑ | Systematic reviews on immunosenescence in elderly & cancer | High IL-6 correlates with comorbidities/mortality; exhaustion/senescence markers increased | “Pre-sensitized” elderly immune background more prone to overload and exhaustion upon OV activation | ( 58 ) |
Elderly individuals inherently exhibit elevated baseline levels of IL-6 and TNF-α, reduced naïve T-cell pools, and increased expression of exhaustion markers (e.g., PD-1, TIM-3), indicative of immunosenescence ( 54 , 55 ). This aging-associated immune state exacerbates the risk of immune overload and exhaustion under OV therapy, contributing to lymphopenia and impaired T-cell metabolism ( 56 – 58 ). Additionally, OV-induced hematopoietic stem cell depletion worsens metabolic dysfunction and deepens immunosuppression ( 19 ).
Conversely, immune exhaustion can also precipitate further immune overload. OV treatment activates robust antiviral T-cell responses and upregulates interferon-stimulated genes (ISGs), fostering a suppressive immune milieu via checkpoint molecule induction. In elderly patients, prior viral exposures contribute to memory T-cell bias, reducing the naïve T-cell repertoire ( 59 – 61 ). OV-induced inflammation disproportionately burdens the remaining unskewed T cells, leading to their numerical expansion but diminished function ( 62 – 64 ). This paradoxical expansion is frequently followed by contraction via activation-induced cell death (AICD) ( 65 , 66 ), culminating in accelerated immune reserve depletion. Moreover, tumor lysis by OVs generates debris accumulation, triggering cholesterol overload in tumor-associated macrophages and impairing their phagocytic capacity, further taxing immune resources ( 67 ).
OV therapy can also induce cytokine release syndrome (CRS), characterized by explosive surges of IL-6 and TNF-α within a short period ( 18 ). CRS represents one of the most life-threatening acute toxicities of OV therapy ( 68 , 69 ). Despite prophylactic use of potent corticosteroids (e.g., dexamethasone) ( 70 ) or localized administration strategies ( 25 ), CRS manifestations such as fever, elevated AST, thrombocytopenia, and treatment interruptions remain common ( 20 ). The self-amplifying “inflammation–immunosuppression cycle” in the elderly, characterized by increased levels of immunosuppressive metabolites such as lactate, further amplifies the severity and long-term consequences of CRS ( 71 – 73 ). However, systematic age-specific incidence data remain lacking, limiting the ability to quantitatively assess the severity and exact frequency of adverse events in elderly patients ( Table 6 ).
Table 6
Inflammatory cascade reactions (CRS/SIRS) induced by oncolytic viruses in elderly cancer patients.
| Mechanism | Specific details | Evidence | Adverse events | Implications | Ref. |
| Systemic cytokine storm / CRS (Reovirus combination therapy) | Reovirus activates RIG-I/MDA5 → NF-κB/IRF3 signaling. Combination with proteasome inhibitors or immunotherapeutic agents amplifies T cell activation and proinflammatory cytokine release. | Clinical study in multiple myeloma (MM): Pelareorep + carfilzomib/dexamethasone. A review reported the first OV-associated cytokine storm in hematologic malignancies. | CRS reported in NCT02101944 (severe symptoms), along with fever and thrombocytopenia leading to treatment discontinuation. First documented OV-induced CRS in hematologic cancer. | Elderly MM patients often exhibit inflammaging and elevated baseline IL-6, potentially heightening CRS risk. CRP/IL-6 should be closely monitored and early intervention is essential. | ( 127 ) |
| Systemic CRS (VSV-modified OV) | VSV triggers RIG-I/MAVS and type I interferon signaling; IFN-β transgene further amplifies innate immune cascades. | Phase I trial in uveal melanoma (intratumoral + intravenous): CRS observed in one patient at the highest dose level. | Among 12 patients, CRS was observed in dose level 4 (DL4), accompanied by AST elevation and thrombocytopenia. | Elderly melanoma is common. IV administration or high-dose regimens pose greater risks. Close monitoring of vital signs and cytokines, with tiered dose escalation and early symptom management (e.g., hydration, antipyretics, tocilizumab/steroids if needed), is recommended. | ( 70 ) |
| Regional (intracavitary) cytokine storm with potential progression to systemic inflammation | HSV-2–based OV (OH2, GM-CSF arm) significantly upregulates IL-6, TNF, and IFN-γ. IL-6 identified as a key driver. | Murine peritoneal tumor model: OH2 administered intraperitoneally for malignant ascites. | IL-6 increased >4-fold by day 4 post-treatment, with enhanced CD8 + /CD4 + infiltration. Early IL-6 blockade via tocilizumab reduced antitumor immunity. | Malignant ascites and serosal metastases are common in elderly patients with poor physiological reserve. Local OV therapy may induce regional cytokine storms that spill over systemically. Pre-emptive IL-6 blockade and fever management are advised; comorbidities should be carefully evaluated. | ( 18 ) |
| Transgenic cytokines (e.g., GM-CSF) and innate immune amplification → granulocyte activation and inflammation | Poxvirus-based OV (JX-594 / pexastimogene devacirepvec) encodes GM-CSF. DNA sensing via cGAS–STING → TBK1 → IRF3/NF-κB induces multiple cytokines. | Dose-escalation trials in liver cancer and others reported granulocytosis and flu-like symptoms, supporting systemic cytokine induction. | Dose-dependent granulocyte elevation and induction of IL-6/IFN-γ; systemic inflammatory symptoms commonly observed. | Elderly patients with baseline inflammation and reduced marrow reserves may be more susceptible to GM-CSF–induced neutrophil fluctuations and fever. Infection risk and concurrent use of agents like G-CSF should be carefully assessed. | ( 20 , 126 , 128 ) |
| Real-world pharmacovigilance signals: SIRS/infectious complications | HSV-1 (T-VEC) is primarily administered intralesionally; systemic symptoms such as fever and chills are common, but post-marketing data indicate risks of sepsis and encephalitis. | FAERS review (Q1 2004–Q3 2023, N=1138 reports). | Common signals: fever, flu-like symptoms, chills. Unexpected signals: sepsis, encephalitis, syncope, lymphadenopathy. | Elderly patients exhibit immune frailty and atypical infection presentations. Even local administration warrants rigorous evaluation for SIRS and infection (monitor temperature, HR, RR, WBC, CRP, procalcitonin). | ( 25 ) |
Furthermore, OV therapy disrupts immune tolerance in elderly individuals. Rapid lysis of tumor cells releases large quantities of shared self-tumor antigens, which are cross-presented by antigen-presenting cells (APCs), eliciting secondary T/B cell responses against non-target self-epitopes and triggering autoimmune reactions ( 23 , 74 ). Potent activation of dendritic cells and the upregulation of type I IFN and TLR signaling lower the threshold for immune tolerance, promoting bystander activation of autoreactive lymphocytes ( 22 ). Additionally, molecular mimicry between OV components and self-antigens drives T cell–mediated autoimmune cross-reactivity ( 75 ).
Genetically engineered OVs expressing immune modulators such as anti–CTLA-4 further amplify T-cell responses, intensifying autoimmune pathology and impairing immune tolerance ( 21 ). As a result, OV therapy has been associated with various immune-related adverse events (irAEs), including vitiligo, lupus vasculitis, psoriasis, pneumonitis, and encephalitis ( 25 ). These risks are significantly heightened when OVs are combined with immune checkpoint inhibitors, leading to increased rates of grade ≥3 treatment-related adverse events ( 24 ), and underscoring the compounded vulnerability of immune tolerance in aged hosts ( 76 , 77 ).
Table 7 provides a comprehensive overview of the mechanisms, evidence, and clinical data supporting OV-induced disruption of immune self-tolerance.
Table 7
Disruption of immune tolerance by oncolytic virus (OV) therapy in elderly cancer patients.
| Mechanism | Details | Study type | Evidence | Implications | Ref. |
| Epitope spreading leading to secondary immune responses against self-antigens | Tumor lysis → exposure of tumor/self-shared antigens → cross-presentation by DCs → expansion of T/B cell responses | Classic review (shared mechanisms in autoimmunity and cancer) | Chronic inflammation and antigen release promote responses to "off-target" self-epitopes, explaining post-treatment autoimmune phenotypes (e.g., vitiligo) | Elderly patients exhibit fragile immune homeostasis with impaired antigen clearance and regulatory networks (e.g., Tregs, IL-10), increasing the risk of tolerance breach | ( 23 ) |
| Innate immune hyperactivation and bystander activation | OV/T-VEC encodes GM-CSF → DC activation; upregulation of type I IFNs and TLR signaling → passive activation of bystander T/B cells | Review in Front Immunol (OV-induced innate and adaptive responses) | Strong IFN and PRR activation lowers peripheral tolerance thresholds, triggering autoimmunity-related phenotypes | Inflammaging in elderly further lowers the immune activation threshold | ( 22 ) |
| Molecular mimicry and autoantibody generation | Structural/sequence similarity between viral and self-antigens → cross-reactivity | Review on viral infection and autoimmunity | Summarizes multiple pathways (molecular mimicry, epitope spreading, bystander activation) contributing to autoimmune responses | Thymic involution and reduced clonal deletion of autoreactive lymphocytes in elderly increase risk | ( 75 ) |
| Treg axis impairment and tolerance network disruption | OV induces costimulatory and inflammatory signals; combination with anti–CTLA-4/PD-1 further depletes Tregs | Studies using oHSV vector expressing/delivering anti–CTLA-4; combination with PD-1 blockade enhances systemic immunity | Tumor-targeted Treg-depleting strategies amplify T-cell effects but may lower the autoimmunity threshold | Age-related Treg dysfunction/redistribution makes elderly more prone to tolerance breakdown | ( 21 , 129 , 130 ) |
| Clinical phenotype: T-VEC–induced vitiligo (melanocyte autoimmunity) | Shared antigens between melanoma and melanocytes; epitope spreading and inflammatory microenvironment | Final OPTiM Phase III analysis (melanoma) | Immune-related AEs in 24/295 (8.1%); vitiligo in 18/295 (6.1%), mostly Grade 1–2; additional Grade 3 events (e.g., lupus vasculitis, psoriasis, pneumonitis) | High proportion of elderly in melanoma cohort highlights the presence of "manageable but real" autoimmune risk | ( 131 ) |
| Case series: T-VEC–induced vitiligo | Associated with durable responses | Case series (melanoma) | Reports of vitiligo-like lesions following injection, supporting the correlation between autoimmunity and tumor control | Fragile skin barriers in elderly necessitate dermatologic surveillance | ( 131 ) |
| Pharmacovigilance signals: endocrine and neuroimmune events | FAERS real-world analysis (2004 Q1–2023 Q3) | Detected safety signals for endocrine disorders; unexpected neuroinflammatory signals (e.g., encephalitis, ROR 11.8, 9 cases) | Higher reporting frequency in ≥60 age group (consistent with melanoma epidemiology) indicates need for enhanced monitoring | Beyond common endocrine irAEs, rare but serious neuroimmune events in elderly may lead to rapid functional decline or fatality; proactive risk assessment and monitoring strategies are essential | ( 25 ) |
| Immune axis amplification via PD-1 combination therapy → further tolerance erosion | “Viral ignition + PD-1 blockade” amplifies systemic T-cell responses | Phase III trials (e.g., MASTERKEY-265: T-VEC + pembrolizumab) | Though negative for primary endpoint, ≥Grade 3 treatment-related AEs occurred in ~20%, consistent with ICI AE profiles; autoimmune events include endocrine, dermatologic, pulmonary manifestations | Given elderly patients' comorbidities, vigilant monitoring of thyroid, liver, and pulmonary function is essential | ( 24 ) |
| Other OV platforms with tolerance-disruptive potential | VACV, Reovirus elicit strong IFN/inflammatory responses and are often used with ICIs | 2024 review on VACV/combination strategies | Mechanistic and combinatorial data suggest a general risk of “overactivation → tolerance breach” (though mostly manageable) | For elderly, a low-intensity initiation with stepwise escalation and tight monitoring is recommended | ( 77 , 132 ) |
Discussion
Over the next 5–10 years, the immunological frailty of elderly cancer patients is expected to be progressively overcome ( Table 8 ). Tumor-induced immunosuppression may be alleviated through a range of combination strategies, such as the use of the A2A receptor antagonist ciforadenant in conjunction with anti–PD-L1 therapy ( 78 ), CD73 inhibitors paired with immune checkpoint blockade ( 79 , 80 ), and VEGF-Trap agents that correct dendritic cell differentiation defects ( 81 ). Furthermore, the development of novel drugs is anticipated based on evidence that the PDE5 inhibitor tadalafil effectively reduces MDSC and Treg levels ( 82 ).
Table 8
Strategies to address the three core dimensions of immune fragility in elderly cancer patients.
| Core issue | Mechanism | Strategy | Evidence | Ref. |
| Tumor-induced immunosuppression | Adenosine pathway (CD39/73 → adenosine → A2A-mediated T cell inhibition) | A2A receptor antagonist (ciforadenant) ± anti–PD-L1 | First-in-human studies show safety and potential benefit as monotherapy and in combination with PD-L1 inhibitors | ( 78 ) |
| CD73 inhibitors (small molecules/antibodies), typically combined with PD-1/PD-L1 or A2A blockade | Comprehensive preclinical/clinical evidence supports their role in reversing adenosine-mediated suppression | ( 79 , 80 ) | ||
| VEGF impairs DC differentiation/function | Anti–VEGF/VEGFR or "vascular normalization" strategies | VEGF-Trap can correct DC differentiation but insufficient alone; optimal when combined with immunotherapy | ( 81 ) | |
| MDSC-mediated suppression | PDE5 inhibitors (e.g., tadalafil) | Reduced MDSC/Treg levels and enhanced tumor immunity in HNSCC patients | ( 82 ) | |
| Age-related immunosenescence | Insufficient naive/memory T cell reserves | Recombinant human IL-7 | Expands naive and central memory T cells; validated in HIV immunorestoration with broad relevance | ( 83 ) |
| Immune metabolic/exhaustion pathways | Low-dose mTOR inhibitors (everolimus/rapamycin) | Enhanced flu vaccine response and reduced PD-1 expression in elderly volunteers | ( 84 ) | |
| Thymic involution | Reversible sex steroid ablation (SSA), thymic regeneration | Human/mouse studies show SSA promotes thymic output and immune reconstitution; reviewed in translational studies | ( 85 , 133 ) | |
| Senescent T cell phenotype | Metformin | Human trials show reversal of T cell aging (quantity/function/telomerase/transcriptome) | ( 85 ) | |
| Synergistic vicious cycle: IL-6/STAT3 upregulation, pro-inflammatory yet suppressive | Cytokine release syndrome (CRS) management | Tocilizumab (IL-6R blockade) ± corticosteroids | First-line treatment validated in CAR-T/ICI-associated CRS | ( 68 , 69 ) |
| Refractory or steroid-resistant CRS | JAK inhibitors (e.g., ruxolitinib) | Clinical and retrospective studies (small cohorts) show rapid cytokine reduction and CRS control | ( 86 – 90 ) | |
| Pharmacological control of overactivation | Stepwise dose escalation, local/intratumoral delivery | General risk-mitigation strategy to lower systemic inflammation peaks, best used in combination with the above agents | ( 69 ) |
Age-related immunosenescence is likely to be addressed by augmenting the quantity and quality of immune cells. Quantitative improvement may be achieved using cytokines such as recombinant human IL-7 to expand naïve and central memory T cells ( 83 ). Qualitative enhancement may involve low-dose mTOR inhibitors to downregulate PD-1 expression in T cells ( 84 ) and pharmacological agents such as metformin to attenuate T cell senescence through multidimensional mechanisms ( 85 ). In addition, reversible sex steroid ablation (SSA) and thymic regeneration approaches are under exploration to restore immune competency ( 85 ), providing a multifaceted strategy to counter immunosenescence.
To interrupt the vicious cycle between immunosuppression and immune exhaustion, standard treatment regimens such as tocilizumab combined with glucocorticoids—commonly used for CRS induced by CAR-T or checkpoint inhibitors—will be expanded ( 68 , 69 ). JAK inhibitors like ruxolitinib, which can rapidly suppress cytokine surges and alleviate CRS, are also being investigated for broader application in immune-related toxicity control ( 86 – 90 ), paving the way for the development of next-generation interventions.
In parallel, the three core immune-related challenges induced by oncolytic virus (OV) therapy in elderly cancer patients will likely be tackled within the coming decade ( Table 9 ). To break the bidirectional vicious cycle of immune overload and immune reserve exhaustion, emerging strategies include pharmacokinetic-based dosing (“controlled-peak” regimens), intratumoral administration to enhance local immune activation and reduce systemic toxicity, and low-dose fractionated schedules that optimize efficacy–safety ratios ( 91 – 93 ). Additional approaches involve enhancing cholesterol efflux and metabolic reprogramming to activate the ApoA1/ABCA1 pathway and improve macrophage phagocytosis and macrophage–T cell synergy ( 67 ), as well as IL-7–mediated expansion of T cell pools and diversification of the TCR repertoire to “replenish immune reserves” ( 83 , 94 , 95 ).
Table 9
Strategies to address OV-related risks in elderly cancer patients.
| Core issue | Mechanism | Specific strategies | Evidence | Ref. |
| Bidirectional vicious cycle of immune overactivation and reserve exhaustion | Systemic pro-inflammatory surges upregulate PD-1 and ISG expression, leading to T cell dysfunction; persistent antigen load or high dosing intensity drives chronic stimulation | Pharmacokinetic-controlled delivery: stepwise dose escalation, intratumoral/intracavitary administration, and low starting dose strategies | Reviews and clinical practice highlight that intratumoral OV administration enhances local immune activation while minimizing systemic toxicity. Several studies suggest that low-dose or fractionated regimens can offer better efficacy-safety ratios in specific OV/immunotherapy settings | ( 91 – 93 ) |
| Macrophage cholesterol overload → impaired phagocytosis, amplified immune overactivation/exhaustion | Cholesterol efflux/metabolic remodeling (enhancement of ApoA1/ABCA1 axis; cyclodextrin-HDL nanotechnology, currently at translational stage) | Enhancing cholesterol efflux improves tumor control and restores macrophage–T cell cooperation. Nanoparticle and gene-engineering approaches have significantly improved phagocytic and effector function in preclinical models | ( 67 ) | |
| Reduced T cell repertoire and diversity in the elderly → increased susceptibility to exhaustion | IL-7–mediated immune reconstitution during recovery/maintenance phases | IL-7 expands naïve and memory T cells, broadens TCR diversity, and has been shown to enhance immune reserves in both human and disease models. It also shows compatibility with vaccines and cell-based therapies | ( 83 , 94 , 95 ) | |
| Uncontrolled cytokine release syndrome (CRS) | IL-6–driven acute inflammatory amplification; corticosteroid-refractory in some cases | Tocilizumab (IL-6R blockade) as first-line; supportive care and graded management (per ASCO/SITC guidelines) | Multicenter and retrospective studies support rapid CRS resolution with IL-6R blockade, in line with guideline recommendations for grading and administration timing | ( 87 , 89 , 96 , 97 ) |
| IL-1/macrophage-driven corticosteroid-refractory CRS | Anakinra (IL-1R antagonist) for salvage/prevention | Clinical and translational studies show IL-1 blockade mitigates CRS and neurotoxicity, effective in cases unresponsive to steroids/tocilizumab | ( 86 , 88 ) | |
| Multi-cytokine cascades, corticosteroid-refractory | Ruxolitinib (JAK1/2 inhibitor) | Small-scale prospective/retrospective studies suggest rapid cytokine reduction and CRS control without significantly impairing antitumor effects (timing and dosage require caution) | ( 87 , 89 , 90 ) | |
| Breakdown of self-tolerance (epitope spreading, bystander activation, etc.) | Broad immune overactivation leading to organ-specific immune-related adverse events (irAEs) | Graded management: treatment interruption/dose reduction; corticosteroids as the mainstay; organ-specific second-line agents (e.g., infliximab for colitis, mycophenolate for hepatitis, IVIG/rituximab for cutaneous, neurological, or hematologic toxicities) | Authoritative irAE management guidelines for ICIs provide organ-specific protocols, applicable to irAEs induced by OV combination/sequential therapies | ( 8 , 9 ) |
| Myocarditis/severe organ toxicity refractory to corticosteroids | Abatacept (CTLA-4-Ig) ± ruxolitinib | Case reports and dose-finding studies suggest abatacept reverses ICI-induced myocarditis. Ongoing trials aim to optimize dosing; potential salvage option for steroid-refractory severe irAEs | ( 98 – 100 ) | |
| Systemic bystander activation/epitope spreading risk | Route optimization: prioritize intratumoral injection; use regional delivery when necessary to reduce systemic exposure | Intratumoral OV/immunotherapy delivery has shown robust immune activation and lower systemic toxicity across multiple tumor types | ( 101 , 102 ) |
The challenge of cytokine storm (CRS) will be addressed through first-line use of IL-6R blockers such as tocilizumab for rapid symptom relief ( 87 , 89 , 96 , 97 ). For steroid-refractory CRS, IL-1R blockers (e.g., anakinra) and JAK1/2 inhibitors (e.g., ruxolitinib) will be employed to mitigate cytokine levels while preserving antitumor activity ( 86 – 90 ). This comprehensive, multi-tiered control framework is essential for CRS prevention and management.
The disruption of immune tolerance associated with OV-based regimens will be managed using a structured irAE management protocol based on current ICI guidelines. First-line glucocorticoids will serve as foundational therapy, with second-line, organ-specific agents such as infliximab for colitis, mycophenolate mofetil for hepatitis, and IVIG/rituximab for dermatologic and hematologic toxicity ( 8 , 9 ). For cardiotoxicity, the combination of abatacept (CTLA-4-Ig) and ruxolitinib has shown promise in reversing ICI-induced myocarditis ( 98 – 100 ). Drug delivery route optimization—via intratumoral or regional administration when possible—will further reduce systemic exposure and minimize the risk of bystander immune activation ( 101 , 102 ), offering a holistic strategy to restore immune tolerance.
Despite these advancements, the unique immune landscape of elderly cancer patients remains marginalized ( Table 10 ). Due to comorbidities, suboptimal biomarker profiles, and compromised performance status ( 103 ), elderly individuals comprise only 17.7% of early-phase clinical trial participants ( 14 ). Within the context of OV therapy, elderly patients account for 34.4% of immune-related adverse events ( 25 ), and are at heightened risk of severe complications—such as disseminated HSV infection or encephalitis—even with localized treatments like T-VEC ( 26 ).
Table 10
Overlooked issues of immunological vulnerability in elderly cancer patients.
The following notations and conventions are used throughout the tables in this manuscript. Arrows and symbols represent biological or functional relationships: ↑ indicates upregulation or increased levels; ↓ denotes downregulation or decreased levels; → signifies causality, functional directionality, or pathway flow; ↔ reflects bidirectional interactions or feedback loops; × denotes interaction, additive effects, or joint causation; ± implies optional presence or monotherapy versus combination use (e.g., Drug A ± Drug B); + indicates combination or co-administration (e.g., A + B); ≥ and ≤ represent threshold boundaries; ≈ or ~ indicate approximate values; “/” denotes alternatives or parallel items depending on context; “–” (en dash) is used for ranges or compound terms (not a negative sign); NA or — signifies data unavailability or non-applicability. Statistical and study design indicators include: n (sample size), P (p-value, two-sided unless otherwise stated), HR (hazard ratio; >1 indicates increased risk or adverse outcome), 95% CI (95% confidence interval), ROR (reporting odds ratio, used for signal strength in pharmacovigilance), and RCT (randomized controlled trial). Drug administration routes are abbreviated as i.v. (intravenous), i.p. (intraperitoneal), and i.t. (intratumoral). "5-year survival" denotes the 5-year survival rate. All numerical values and significance are reported as per the original studies. Regarding populations and experimental settings, “human” or “patient” refers to clinical data, while “mouse” indicates animal models. “In vitro” denotes cell-based assays; “intracavitary” refers to administration into body cavities (e.g., peritoneal, pleural); “ascites” refers to malignant ascites. TME indicates the tumor microenvironment, and TIL denotes tumor-infiltrating lymphocytes. If multiple species or contexts are involved in a single entry, specific details are provided under the relevant columns such as "Evidence," "Study Design," or "Subjects." Adverse event terms such as CRS (cytokine release syndrome), SIRS (systemic inflammatory response syndrome), and irAEs (immune-related adverse events) are used in accordance with immunotherapy-related safety classifications. Safety signals arising from drug platforms, viral vectors, or combination regimens are interpreted based on the severity grading and recommended management per the cited studies or clinical guidelines. Gene and protein names follow the original source nomenclature (e.g., HGNC, UniProt). Terms like "upregulated," "downregulated," "associated," or "correlated" summarize statistically significant or mechanistically supported findings. Where entries are inferential or based on integrated mechanistic hypotheses, the evidence level and scope of applicability are detailed in the respective “Evidence” or “Implications” columns.
| Evidence | Details | Implications | Recommendations | Ref. |
| EGALICAN-2 study in France: patients aged ≥70 accounted for only 17.7% of early-phase clinical trials | Systematic underrepresentation of older adults results in limited data on immunotoxicity and efficacy | Extrapolation from younger cohorts may lead to overtreatment, undertreatment, or insufficient monitoring | Eliminate unnecessary upper age limits; define elderly-specific endpoints (e.g., functional status, quality of life, treatment tolerance); establish dedicated older adult cohorts | ( 14 ) |
| Community-based research: “ineligibility” for clinical trials is more common in elderly patients (due to comorbidities, unmet biomarkers, poor performance status) | Inclusion/exclusion criteria neglect typical physiological and immunological features of aging (e.g., chronic inflammation, comorbidities, biopsy difficulties) | Further exacerbates evidence gaps and uncertainty in therapeutic decision-making | Loosen laboratory and biomarker thresholds; adopt pragmatic trial designs and decentralized biospecimen collection | ( 103 ) |
| Early fatal signals of ICI-related myocarditis (case reports and pharmacovigilance data) | Cardiovascular aging and immune senescence increase baseline risk, complicating early detection | Sudden death and treatment discontinuation | Routine baseline and early-cycle screening with hs-troponin, ECG, and echocardiography; joint oncology–cardiology clinics; intensive monitoring and rapid immunosuppression escalation for high-risk populations | ( 108 – 110 ) |
| Geriatric assessment (GA) has been validated in RCTs to reduce severe toxicity and improve outcomes, but remains underutilized in practice | Differences in immune/inflammatory reserve are rarely assessed or managed | Higher rates of adverse events, hospitalization, and poor treatment adherence | Incorporate GA as standard practice before systemic therapy in all patients aged ≥65; use results to guide dosing, regimens, and supportive care strategies | ( 6 , 104 – 107 ) |
| Real-world pharmacovigilance of T-VEC: beyond fever, reports include sepsis, encephalitis, syncope, and lymphadenopathy; 34.4% of cases involved older adults | Decline in immune tolerance and risk of latent virus reactivation are underestimated in the elderly | Severe infectious complications, treatment discontinuation, or death | Perform virological/immunological stratification before OV therapy; administer first dose under inpatient monitoring in elderly or immunocompromised patients; develop robust antiviral contingency plans | ( 25 ) |
| Case reports of disseminated HSV infection and encephalitis after T-VEC | Even local administration can trigger systemic infection, with heightened risk in elderly or immunocompromised individuals | Severe infections and neurological complications | Screen for prior herpes zoster/HSV infections and immunosuppressive conditions; consider prophylactic antivirals where appropriate | ( 26 ) |
However, geriatric assessment (GA), a tool proven to reduce severe toxicity and improve outcomes, remains underutilized in routine clinical practice. This oversight leads to insufficient immunological risk assessment, ultimately contributing to elevated rates of adverse events, hospitalizations, treatment non-compliance ( 6 , 104 – 107 ), and even unexpected mortality or treatment discontinuation ( 108 – 110 ).
Therefore, at the clinical level, we recommend establishing a three-tiered frailty-based dosing strategy: standard-dose regimens for mildly frail patients, 25–50% dose reduction for moderately frail patients, and cautious risk–benefit evaluation for severely frail patients. In addition, a CRS early-warning system should be implemented, focusing on three critical markers: IL-6 levels, body temperature fluctuations, and platelet count. For high-risk individuals with a G8 score ≤14, enhanced monitoring protocols should be applied. Moreover, geriatric assessment (GA) should be standardized as a prerequisite for OV treatment in patients aged ≥65 years. In terms of clinical research, elderly patients should comprise ≥30% of enrolled participants, with at least three ongoing trials dedicated to dose optimization in this population. Furthermore, a dedicated OV safety database containing ≥200 elderly cases should be established to quantify age-specific risks and support precision medicine initiatives.
Acknowledgments
This is a short text to acknowledge the contributions of specific colleagues, institutions, or agencies that aided the efforts of the authors.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
Author contributions
J-WW: Conceptualization, Investigation, Validation, Visualization, Writing – original draft. J-HL: Project administration, Supervision, Writing – original draft. Y-LL: Supervision, Writing – review & editing. W-ZX: Supervision, Writing – review & editing. Z-BZ: Project administration, Supervision, Writing – review & editing.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1 Bray F Laversanne M Sung H Ferlay J Siegel RL Soerjomataram I . Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries . CA Cancer J Clin . ( 2024 ) 74 : 229–63 . doi: 10.3322/caac.21834 , PMID: 38572751
2 Li L Shan T Zhang D Ma F . Nowcasting and forecasting global aging and cancer burden: analysis of data from the GLOBOCAN and Global Burden of Disease Study . J Natl Cancer Cent . ( 2024 ) 4 : 223–32 . doi: 10.1016/j.jncc.2024.05.002 , PMID: 39281725 PMC11401500
3 Fulop T Larbi A Dupuis G Le Page A Frost EH Cohen AA . Immunosenescence and inflamm-aging as two sides of the same coin: friends or foes . Front Immunol . ( 2017 ) 8 : 1960 . doi: 10.3389/fimmu.2017.01960 , PMID: 29375577 PMC5767595
4 Nikolich-Žugich J . The twilight of immunity: emerging concepts in aging of the immune system . Nat Immunol . ( 2018 ) 19 : 10–9 . doi: 10.1038/s41590-017-0006-x , PMID: 29242543
5 Hurria A Togawa K Mohile SG Owusu C Klepin HD Gross CP . Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study . J Clin Oncol . ( 2011 ) 29 : 3457–65 . doi: 10.1200/JCO.2011.34.7625 , PMID: 21810685 PMC3624700
6 Li D Sun CL Kim H Soto-Pérez-de-Celis E Chung V Koczywas M . Geriatric assessment-driven intervention (GAIN) on chemotherapy-related toxic effects in older adults with cancer: A randomized clinical trial . JAMA Oncol . ( 2021 ) 7 : e214158 . doi: 10.1001/jamaoncol.2021.4158 , PMID: 34591080 PMC8485211
7 Nie RC Chen GM Wang Y Zhou J Duan JL Zhou ZW . Efficacy of anti-PD-1/PD-L1 monotherapy or combinational therapy in patients aged 75 years or older: A study-level meta-analysis . Front Oncol . ( 2021 ) 11 : 538174 . doi: 10.3389/fonc.2021.538174 , PMID: 33816215 PMC8018595
8 Brahmer JR Abu-Sbeih H Ascierto PA Brufsky J Cappelli LC Cortazar FB . Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immune checkpoint inhibitor-related adverse events . J Immunother Cancer . ( 2021 ) 9 ( 6 ): e002435 . doi: 10.1136/jitc-2021-002435 , PMID: 34172516 PMC8237720
9 Schneider BJ Naidoo J Santomasso BD Lacchetti C Adkins S Anadkat M . Management of immune-related adverse events in patients treated with immune checkpoint inhibitor therapy: ASCO guideline update . J Clin Oncol . ( 2021 ) 39 : 4073–126 . doi: 10.1200/JCO.21.01440 , PMID: 34724392
10 Bommareddy PK Zloza A Rabkin SD Kaufman HL . Oncolytic virus immunotherapy induces immunogenic cell death and overcomes STING deficiency in melanoma . Oncoimmunology . ( 2019 ) 8 : 1591875 . doi: 10.1080/2162402X.2019.1591875 , PMID: 31143509 PMC6527276
11 Andtbacka RH Kaufman HL Collichio F Amatruda T Senzer N Chesney J . Talimogene laherparepvec improves durable response rate in patients with advanced melanoma . J Clin Oncol . ( 2015 ) 33 : 2780–8 . doi: 10.1200/JCO.2014.58.3377 , PMID: 26014293
12 Wong MK Milhem MM Sacco JJ Michels J In GK Couselo EM . RP1 combined with nivolumab in advanced anti-PD-1-failed melanoma (IGNYTE) . J Clin Oncol . ( 2025 ), 101200JCO2501346 . doi: 10.1200/JCO-25-01346 , PMID: 40627813 PMC12622257
13 Lau P Liang L Chen X Zhang J Liu H . Comparative safety and efficacy of oncolytic virotherapy for the treatment of individuals with Malignancies: a systematic review, meta-analysis, and Bayesian network meta-analysis . EClinicalMedicine . ( 2025 ) 86 : 103362 . doi: 10.1016/j.eclinm.2025.103362 , PMID: 40727009 PMC12301812
14 Baldini C Charton E Schultz E Auroy L Italiano A Robert M . Access to early-phase clinical trials in older patients with cancer in France: the EGALICAN-2 study . ESMO Open . ( 2022 ) 7 : 100468 . doi: 10.1016/j.esmoop.2022.100468 , PMID: 35533427 PMC9271476
15 Han S Georgiev P Ringel AE Sharpe AH Haigis MC . Age-associated remodeling of T cell immunity and metabolism . Cell Metab . ( 2023 ) 35 : 36 – 55 . doi: 10.1016/j.cmet.2022.11.005 , PMID: 36473467 PMC10799654
16 Jeske SS Schuler PJ Doescher J Theodoraki MN Laban S Brunner C . Age-related changes in T lymphocytes of patients with head and neck squamous cell carcinoma . Immun Ageing . ( 2020 ) 17 : 3 . doi: 10.1186/s12979-020-0174-7 , PMID: 32082401 PMC7017629
17 Zhao B Wu B Feng N Zhang X Zhang X Wei Y . Aging microenvironment and antitumor immunity for geriatric oncology: the landscape and future implications . J Hematol Oncol . ( 2023 ) 16 : 28 . doi: 10.1186/s13045-023-01426-4 , PMID: 36945046 PMC10032017
18 Dong S Liu B Hu S Guo F Zhong Y Cai Q . A novel oncolytic virus induces a regional cytokine storm and safely eliminates Malignant ascites of colon cancer . Cancer Med . ( 2022 ) 11 : 4297–309 . doi: 10.1002/cam4.4772 , PMID: 35510373 PMC9678102
19 Pang WW Price EA Sahoo D Beerman I Maloney WJ Rossi DJ . Human bone marrow hematopoietic stem cells are increased in frequency and myeloid-biased with age . Proc Natl Acad Sci U S A . ( 2011 ) 108 : 20012–7 . doi: 10.1073/pnas.1116110108 , PMID: 22123971 PMC3250139
20 Heo J Reid T Ruo L Breitbach CJ Rose S Bloomston M . Randomized dose-finding clinical trial of oncolytic immunotherapeutic vaccinia JX-594 in liver cancer . Nat Med . ( 2013 ) 19 : 329–36 . doi: 10.1038/nm.3089 , PMID: 23396206 PMC4268543
21 Azar F Deforges J Demeusoit C Kleinpeter P Remy C Silvestre N . TG6050, an oncolytic vaccinia virus encoding interleukin-12 and anti-CTLA-4 antibody, favors tumor regression via profound immune remodeling of the tumor microenvironment . J Immunother Cancer . ( 2024 ) 12 ( 7 ): e009302 . doi: 10.1136/jitc-2024-009302 , PMID: 39060022 PMC11284822
22 Marelli G Howells A Lemoine NR Wang Y . Oncolytic viral therapy and the immune system: A double-edged sword against cancer . Front Immunol . ( 2018 ) 9 : 866 . doi: 10.3389/fimmu.2018.00866 , PMID: 29755464 PMC5932159
23 Vanderlugt CJ Miller SD . Epitope spreading . Curr Opin Immunol . ( 1996 ) 8 : 831–6 . doi: 10.1016/S0952-7915(96)80012-4 , PMID: 8994863 PMC7135770
24 Chesney JA Ribas A Long GV Kirkwood JM Dummer R Puzanov I . Randomized, double-blind, placebo-controlled, global phase III trial of talimogene laherparepvec combined with pembrolizumab for advanced melanoma . J Clin Oncol . ( 2023 ) 41 : 528–40 . doi: 10.1200/JCO.22.00343 , PMID: 35998300 PMC9870217
25 Hong Y Cheng K Qu H Wang Y Wang Y Fan G . Safety of talimogene laherparepvec: a real-world retrospective pharmacovigilance study based on FDA Adverse Event Reporting System (FAERS) . J Pharm Health Care Sci . ( 2024 ) 10 : 79 . doi: 10.1186/s40780-024-00388-0 , PMID: 39696696 PMC11654148
26 Kimmis BD Luu Y Dai H . Disseminated herpes infection following talimogene laherparepvec administration . JAMA Dermatol . ( 2022 ) 158 : 456–7 . doi: 10.1001/jamadermatol.2022.0020 , PMID: 35234818
27 Pooladvand P Yun C Yoon A- Kim PS Frascoli F . The role of viral infectivity in oncolytic virotherapy outcomes: A mathematical study . Math BIOSCIENCES . ( 2021 ) 334 : 108520 . doi: 10.1016/j.mbs.2021.108520 , PMID: 33290764
28 Ni Y Soliman A Joehlin-Price A Abdul-Karim F Rose PG Mahdi H . Immune cells and signatures characterize tumor microenvironment and predict outcome in ovarian and endometrial cancers . Immunotherapy . ( 2021 ) 13 : 1179–92 . doi: 10.2217/imt-2021-0080 , PMID: 34424031
29 Zhang Z Yang A Chaurasiya S Park AK Kim SI Lu J . Anti-tumor immunogenicity of the oncolytic virus CF33-hNIS-antiPDL1 against ex vivo peritoneal cells from gastric cancer patients . Int J Mol Sci . ( 2023 ) 24 ( 18 ): 14189 . doi: 10.3390/ijms241814189 , PMID: 37762490 PMC10532045
30 Mahalingam D Wilkinson GA Eng KH Fields P Raber P Moseley JL . Pembrolizumab in combination with the oncolytic virus pelareorep and chemotherapy in patients with advanced pancreatic adenocarcinoma: A phase ib study . Clin Cancer Res . ( 2020 ) 26 : 71 – 81 . doi: 10.1158/1078-0432.CCR-19-2078 , PMID: 31694832 PMC6942612
31 Qin H Liu J Qu Y Li YY Xu YL Yan YF . The intratumoral microbiota biomarkers for predicting survival and efficacy of immunotherapy in patients with ovarian serous cystadenocarcinoma . J Ovarian Res . ( 2024 ) 17 : 140 . doi: 10.1186/s13048-024-01464-7 , PMID: 38970121 PMC11227176
32 Bailur JK Gueckel B Derhovanessian E Pawelec G . Presence of circulating Her2-reactive CD8 + T-cells is associated with lower frequencies of myeloid-derived suppressor cells and regulatory T cells, and better survival in older breast cancer patients . Breast Cancer Res . ( 2015 ) 17 : 34 . doi: 10.1186/s13058-015-0541-z , PMID: 25849846 PMC4377034
33 Palmer DB . The effect of age on thymic function . Front Immunol . ( 2013 ) 4 : 316 . doi: 10.3389/fimmu.2013.00316 , PMID: 24109481 PMC3791471
34 Liu Z Liang Q Ren Y Zhu Y Zhang H Wang X . Immunosenescence: molecular mechanisms and diseases . Signal Transduct Target Ther . ( 2023 ) 8 : 200 . doi: 10.1038/s41392-023-01451-2 , PMID: 37179335 PMC10182360
35 Yam-Puc JC Hosseini Z Horner EC Pereyra Gerber P Beristain-Covarrubias N Hughes R . Age-associated B cells predict impaired humoral immunity after COVID-19 vaccination in patients receiving immune checkpoint blockade . Nat Commun . ( 2023 ) 14 : 3292 . doi: 10.1038/s41467-023-38810-0 , PMID: 37369658 PMC10299999
36 Pawelec G Picard E Bueno V Verschoor CP Ostrand-Rosenberg S . MDSCs, ageing and inflammageing . Cell Immunol . ( 2021 ) 362 : 104297 . doi: 10.1016/j.cellimm.2021.104297 , PMID: 33550187
37 Brauning A Rae M Zhu G Chidambaram S Saunders PTK Nixon M . Aging of the immune system: focus on natural killer cells phenotype and functions . Cells . ( 2022 ) 11 ( 6 ): 1017 . doi: 10.3390/cells11061017 , PMID: 35326467 PMC8947539
38 Chan LC Li CW Xia W Hsu JL Lee HH Cha JH . IL-6/JAK1 pathway drives PD-L1 Y112 phosphorylation to promote cancer immune evasion . J Clin Invest . ( 2019 ) 129 : 3324–38 . doi: 10.1172/JCI126022 , PMID: 31305264 PMC6668668
39 Ferrucci L Fabbri E . Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty . Nat Rev Cardiol . ( 2018 ) 15 : 505–22 . doi: 10.1038/s41569-018-0064-2 , PMID: 30065258 PMC6146930
40 Manyam M Stephens AJ Kennard JA Donovan E Thomas S Galanis E . A phase 1b study of intraperitoneal oncolytic viral immunotherapy in platinum-resistant or refractory ovarian cancer . Gynecol Oncol . ( 2021 ) 163 : 481–9 . doi: 10.1016/j.ygyno.2021.10.069 , PMID: 34686353
41 Meraviglia-Crivelli D Villanueva H Zheleva A Lambert J Dietrich PY Jandus C . IL-6/STAT3 signaling in tumor cells restricts the expression of frameshift-derived neoantigens by SMG1 induction . Mol Cancer . ( 2022 ) 21 : 211 . doi: 10.1186/s12943-022-01679-6 , PMID: 36443756 PMC9703761
42 Rahmadiani N Norahmawati E Endharti AT Hambalie AO Isma S . PD-L1, STAT3, IL6, and EGFR immunoexpressions in high-grade osteosarcoma . Adv Orthop . ( 2024 ) 2024 : 9036225 . doi: 10.1155/2024/9036225 , PMID: 38434518 PMC10907101
43 Lian J Yue Y Yu W Zhang Y . Immunosenescence: a key player in cancer development . J Hematol Oncol . ( 2020 ) 13 : 151 . doi: 10.1186/s13045-020-00986-z , PMID: 33168037 PMC7653700
44 Ma F Liu X Zhang Y Vayalil J Lee G Wang Y . Tumor extracellular vesicle-derived PD-L1 promotes T cell senescence through lipid metabolism reprogramming . Sci Transl Med . ( 2025 ) 17 : eadm7269 . doi: 10.1126/scitranslmed.adm7269 , PMID: 39937879 PMC12063564
45 Hüser L Chhabra Y Gololobova O Wang Z Liu A Dixit R . Aged fibroblast-derived extracellular vesicles promote angiogenesis in melanoma . Cell Rep . ( 2024 ) 43 : 114721 . doi: 10.1016/j.celrep.2024.114721 , PMID: 39255061 PMC11835374
46 Gabrilovich DI Chen HL Girgis KR Cunningham HT Meny GM Nadaf S . Production of vascular endothelial growth factor by human tumors inhibits the functional maturation of dendritic cells . Nat Med . ( 1996 ) 2 : 1096–103 . doi: 10.1038/nm1096-1096 , PMID: 8837607
47 Chesney J Puzanov I Collichio F Singh P Milhem MM Glaspy J . Randomized, open-label phase II study evaluating the efficacy and safety of talimogene laherparepvec in combination with ipilimumab versus ipilimumab alone in patients with advanced, unresectable melanoma . J Clin Oncol . ( 2018 ) 36 : 1658–67 . doi: 10.1200/JCO.2017.73.7379 , PMID: 28981385 PMC6075852
48 Bellera CA Rainfray M Mathoulin-Pélissier S Mertens C Delva F Fonck M . Screening older cancer patients: first evaluation of the G-8 geriatric screening tool . Ann Oncol . ( 2012 ) 23 : 2166–72 . doi: 10.1093/annonc/mdr587 , PMID: 22250183
49 Kao C Charmsaz S Tsai HL Aziz K Shu DH Munjal K . Age-related divergence of circulating immune responses in patients with solid tumors treated with immune checkpoint inhibitors . Nat Commun . ( 2025 ) 16 : 3531 . doi: 10.1038/s41467-025-58512-z , PMID: 40258833 PMC12012091
50 Thomas R Wang W Su DM . Contributions of age-related thymic involution to immunosenescence and inflammaging . Immun Ageing . ( 2020 ) 17 : 2 . doi: 10.1186/s12979-020-0173-8 , PMID: 31988649 PMC6971920
51 Van Herck Y Feyaerts A Alibhai S Migeotte I Cools L Deckx L . Is cancer biology different in older patients ? Lancet Healthy Longevity . ( 2021 ) 2 : e663–77 . doi: 10.1016/S2666-7568(21)00179-3 , PMID: 36098020
52 White CL Twigger KR Vidal L De Bono JS Coffey M Heinemann L . Characterization of the adaptive and innate immune response to intravenous oncolytic reovirus (Dearing type 3) during a phase I clinical trial . Gene Ther . ( 2008 ) 15 : 911–20 . doi: 10.1038/gt.2008.21 , PMID: 18323793
53 Delic M Boeswald V Goepfert K Pabst P Moehler M . In vitro characterization of enhanced human immune responses by GM-CSF encoding HSV-1-induced melanoma cells . Onco Targets Ther . ( 2022 ) 15 : 1291–307 . doi: 10.2147/OTT.S350136 , PMID: 36310770 PMC9606445
54 Jirovec E Quixabeira D Clubb J Histola J Cerullo V Ranki T . Single intravenous administration of oncolytic adenovirus TILT-123 results in systemic tumor transduction and immune response in patients with advanced solid tumors . J Exp Clin Cancer Res . ( 2024 ) 43 : 297 . doi: 10.1186/s13046-024-03219-0 , PMID: 39506856 PMC11539705
55 Pakola SA Clubb J Kudling TV Mäkelä I Ahtiainen L Ranki T . Transient lymphocyte count decrease correlates with oncolytic adenovirus efficacy in humans: mechanistic and biomarker findings from TUNIMO phase I trial . J Immunother Cancer . ( 2025 ) 13 ( 1 ): e010493 . doi: 10.1136/jitc-2024-010493 , PMID: 39870491 PMC11772932
56 Rivadeneira DB DePeaux K Wang Y Kulkarni A Tabib T Cillo AR . Oncolytic viruses engineered to enforce leptin expression reprogram tumor-infiltrating T cell metabolism and promote tumor clearance . Immunity . ( 2019 ) 51 : 548 – 560.e4 . doi: 10.1016/j.immuni.2019.07.003 , PMID: 31471106 PMC6903394
57 Graham AL Schrom EC 2nd Metcalf C . The evolution of powerful yet perilous immune systems . Trends Immunol . ( 2022 ) 43 : 117–31 . doi: 10.1016/j.it.2021.12.002 , PMID: 34949534 PMC8686020
58 Møller SH Hsueh PC Yu YR Zhang L Ho PC . Metabolic programs tailor T cell immunity in viral infection, cancer, and aging . Cell Metab . ( 2022 ) 34 : 378–95 . doi: 10.1016/j.cmet.2022.02.003 , PMID: 35235773
59 Bajwa M Vita S Vescovini R Larsen M Sansoni P Rinaldi A . CMV-specific T-cell responses at older ages: broad responses with a large central memory component may be key to long-term survival . J Infect Dis . ( 2017 ) 215 : 1212–20 . doi: 10.1093/infdis/jix080 , PMID: 28199648 PMC5854018
60 Fletcher JM Vukmanovic-Stejic M Dunne PJ Birch KE Cook JE Jackson SE . Cytomegalovirus-specific CD4+ T cells in healthy carriers are continuously driven to replicative exhaustion . J Immunol . ( 2005 ) 175 : 8218–25 . doi: 10.4049/jimmunol.175.12.8218 , PMID: 16339561
61 Wertheimer AM Bennett MS Park B Uhrlaub JL Martinez C Pulko V . Aging and cytomegalovirus infection differentially and jointly affect distinct circulating T cell subsets in humans . J Immunol . ( 2014 ) 192 : 2143–55 . doi: 10.4049/jimmunol.1301721 , PMID: 24501199 PMC3989163
62 Kaufman HL Kohlhapp FJ Zloza A . Oncolytic viruses: a new class of immunotherapy drugs . Nat Rev Drug Discov . ( 2015 ) 14 : 642–62 . doi: 10.1038/nrd4663 , PMID: 26323545 PMC7097180
63 Lin D Shen Y Liang T . Oncolytic virotherapy: basic principles, recent advances and future directions . Signal Transduct Target Ther . ( 2023 ) 8 : 156 . doi: 10.1038/s41392-023-01407-6 , PMID: 37041165 PMC10090134
64 Hadrup SR Strindhall J Køllgaard T Seremet T Johansson B Pawelec G . Longitudinal studies of clonally expanded CD8 T cells reveal a repertoire shrinkage predicting mortality and an increased number of dysfunctional cytomegalovirus-specific T cells in the very elderly . J Immunol . ( 2006 ) 176 : 2645–53 . doi: 10.4049/jimmunol.176.4.2645 , PMID: 16456027
65 Cao K Wang G Li W Zhang L Wang R Huang Y . Histone deacetylase inhibitors prevent activation-induced cell death and promote anti-tumor immunity . Oncogene . ( 2015 ) 34 : 5960–70 . doi: 10.1038/onc.2015.46 , PMID: 25745993 PMC4672172
66 Green DR Droin N Pinkoski M . Activation-induced cell death in T cells . Immunol Rev . ( 2003 ) 193 : 70 – 81 . doi: 10.1034/j.1600-065X.2003.00051.x , PMID: 12752672
67 Wang S Yan W Kong L Zheng W Liu W Gao Z . Oncolytic viruses engineered to enforce cholesterol efflux restore tumor-associated macrophage phagocytosis and anti-tumor immunity in glioblastoma . Nat Commun . ( 2023 ) 14 : 4367 . doi: 10.1038/s41467-023-39683-z , PMID: 37474548 PMC10359270
68 Morris EC Neelapu SS Giavridis T Sadelain M . Cytokine release syndrome and associated neurotoxicity in cancer immunotherapy . Nat Rev Immunol . ( 2022 ) 22 : 85 – 96 . doi: 10.1038/s41577-021-00547-6 , PMID: 34002066 PMC8127450
69 Shah D Soper B Shopland L . Cytokine release syndrome and cancer immunotherapies - historical challenges and promising futures . Front Immunol . ( 2023 ) 14 : 1190379 . doi: 10.3389/fimmu.2023.1190379 , PMID: 37304291 PMC10248525
70 Smith K Peng KW Pulido JS Dingli D Russell SJ Egan KM . A phase I oncolytic virus trial with vesicular stomatitis virus expressing human interferon beta and tyrosinase related protein 1 administered intratumorally and intravenously in uveal melanoma: safety, efficacy, and T cell responses . Front Immunol . ( 2023 ) 14 : 1279387 . doi: 10.3389/fimmu.2023.1279387 , PMID: 38022659 PMC10644866
71 Lutzky J Sullivan RJ Cohen JV Ren Y Li A Haq R . Phase 1b study of intravenous coxsackievirus A21 (V937) and ipilimumab for patients with metastatic uveal melanoma . J Cancer Res Clin Oncol . ( 2023 ) 149 : 6059–66 . doi: 10.1007/s00432-022-04510-3 , PMID: 36651961 PMC10356892
72 Sasso E D’Alise AM Zambrano N Scarselli E Folgori A Nicosia A . New viral vectors for infectious diseases and cancer . Semin Immunol . ( 2020 ) 50 : 101430 . doi: 10.1016/j.smim.2020.101430 , PMID: 33262065
73 Zhang B Huang J Tang J Hu S Yuan Y Song K . Intratumoral OH2, an oncolytic herpes simplex virus 2, in patients with advanced solid tumors: a multicenter, phase I/II clinical trial . J immunotherapy Cancer . ( 2021 ) 9 : e002224 . doi: 10.1136/jitc-2020-002224 , PMID: 33837053 PMC8043042
74 Hu C Liu Y Lin Y Liang J Xiao J Wang G . Intravenous injections of the oncolytic virus M1 as a novel therapy for muscle-invasive bladder cancer . Cell Death Dis . ( 2018 ) 9 : 274 . doi: 10.1038/s41419-018-0325-3 , PMID: 29449555 PMC5833719
75 Smatti MK Cyprian FS Nasrallah GK Al Thani AA Almishal RO Yassine HM . Viruses and autoimmunity: A review on the potential interaction and molecular mechanisms . Viruses . ( 2019 ) 11 : 762 . doi: 10.3390/v11080762 , PMID: 31430946 PMC6723519
76 Yang Y Xie H Li D Jia Y Cui B Zou J . Real world pharmacovigilance study of antineoplastic drug related vitiligo risks . Sci Rep . ( 2025 ) 15 : 22733 . doi: 10.1038/s41598-025-06314-0 , PMID: 40596452 PMC12215859
77 Xu L Sun H Lemoine NR Xuan Y Wang P . Oncolytic vaccinia virus and cancer immunotherapy . Front Immunol . ( 2023 ) 14 : 1324744 . doi: 10.3389/fimmu.2023.1324744 , PMID: 38283361 PMC10811104
78 Fong L Hotson A Powderly JD Sznol M Heist RS Choueiri TK . Adenosine 2A receptor blockade as an immunotherapy for treatment-refractory renal cell cancer . Cancer Discov . ( 2020 ) 10 : 40 – 53 . doi: 10.1158/2159-8290.CD-19-0980 , PMID: 31732494 PMC6954326
79 Bi C Patel JS Liang SH . Development of CD73 inhibitors in tumor immunotherapy and opportunities in imaging and combination therapy . J Med Chem . ( 2025 ) 68 : 6860–9 . doi: 10.1021/acs.jmedchem.4c02151 , PMID: 40106690 PMC11998006
80 Kurago Z Guo G Shi H Sgammeglia A Ahmed MS Nicosia A . Inhibitors of the CD73-adenosinergic checkpoint as promising combinatory agents for conventional and advanced cancer immunotherapy . Front Immunol . ( 2023 ) 14 : 1212209 . doi: 10.3389/fimmu.2023.1212209 , PMID: 37435071 PMC10330720
81 Fricke I Mirza N Dupont J Lockhart C Jackson A Brown SW . Vascular endothelial growth factor-trap overcomes defects in dendritic cell differentiation but does not improve antigen-specific immune responses . Clin Cancer Res . ( 2007 ) 13 : 4840–8 . doi: 10.1158/1078-0432.CCR-07-0409 , PMID: 17699863
82 Weed DT Vella JL Reis IM De la Fuente AC Gomez C Sargi Z . Tadalafil reduces myeloid-derived suppressor cells and regulatory T cells and promotes tumor immunity in patients with head and neck squamous cell carcinoma . Clin Cancer Res . ( 2015 ) 21 : 39 – 48 . doi: 10.1158/1078-0432.CCR-14-1711 , PMID: 25320361 PMC4322895
83 Levy Y Lacabaratz C Weiss L Viard JP Goujard C Lelièvre JD . Enhanced T cell recovery in HIV-1-infected adults through IL-7 treatment . J Clin Invest . ( 2009 ) 119 : 997 – 1007 . doi: 10.1172/JCI38052 , PMID: 19287090 PMC2662568
84 Mannick JB Del Giudice G Lattanzi M Valiante NM Praestgaard J Huang B . mTOR inhibition improves immune function in the elderly . Sci Transl Med . ( 2014 ) 6 : 268ra179 . doi: 10.1126/scitranslmed.3009892 , PMID: 25540326
85 Yang J Liu HC Zhang JQ Li X Wang L Chen Y . The effect of metformin on senescence of T lymphocytes . Immun Ageing . ( 2023 ) 20 : 73 . doi: 10.1186/s12979-023-00394-0 , PMID: 38087369 PMC10714529
86 Cavalli G De Luca G Campochiaro C Della-Torre E Ripa M Canetti D . Interleukin-1 blockade with high-dose anakinra in patients with COVID-19, acute respiratory distress syndrome, and hyperinflammation: a retrospective cohort study . Lancet Rheumatol . ( 2020 ) 2 : e325–31 . doi: 10.1016/S2665-9913(20)30127-2 , PMID: 32501454 PMC7252085
87 Pan J Deng B Ling Z Hu S Huang H Gong F . Ruxolitinib mitigates steroid-refractory CRS during CAR T therapy . J Cell Mol Med . ( 2021 ) 25 : 1089–99 . doi: 10.1111/jcmm.16176 , PMID: 33314568 PMC7812291
88 Strati P Ahmed S Kebriaei P Nastoupil LJ Claussen CM Watson G . Clinical efficacy of anakinra to mitigate CAR T-cell therapy–associated toxicity in large B-cell lymphoma . Blood Advances . ( 2020 ) 4 : 3123–7 . doi: 10.1182/bloodadvances.2020002328 , PMID: 32645136 PMC7362369
89 Wei S Gu R Xu Y Chen S Chen L Wang X . Adjuvant ruxolitinib therapy relieves steroid-refractory cytokine-release syndrome without impairing chimeric antigen receptor-modified T-cell function . Immunotherapy . ( 2020 ) 12 : 1047–52 . doi: 10.2217/imt-2020-0116 , PMID: 32777959
90 Zi FM Ye LL Zheng JF Cheng J Wang QM . Using JAK inhibitor to treat cytokine release syndrome developed after chimeric antigen receptor T cell therapy for patients with refractory acute lymphoblastic leukemia: A case report . Med (Baltimore) . ( 2021 ) 100 : e25786 . doi: 10.1097/MD.0000000000025786 , PMID: 34106613 PMC8133263
91 Cyrelle Ornella MS Kim JJ Cho E Cho M Hwang TH . Dose considerations for vaccinia oncolytic virus based on retrospective reanalysis of early and late clinical trials . Vaccines (Basel) . ( 2024 ) 12 : 1010 . doi: 10.3390/vaccines12091010 , PMID: 39340040 PMC11435715
92 Gu X Zhang Y Zhou W Liu Y Zhang X Wang R . Infusion and delivery strategies to maximize the efficacy of CAR-T cell immunotherapy for cancers . Exp Hematol Oncol . ( 2024 ) 13 : 70 . doi: 10.1186/s40164-024-00542-2 , PMID: 39061100 PMC11282638
93 Kumagai S Togashi Y Sakai C Kawazoe A Kawazu M Ueno T . An oncogenic alteration creates a microenvironment that promotes tumor progression by conferring a metabolic advantage to regulatory T cells . Immunity . ( 2020 ) 53 : 187 – 203.e8 . doi: 10.1016/j.immuni.2020.06.016 , PMID: 32640259
94 Velardi E Tsai JJ van den Brink M . T cell regeneration after immunological injury . Nat Rev Immunol . ( 2021 ) 21 : 277–91 . doi: 10.1038/s41577-020-00457-z , PMID: 33097917 PMC7583557
95 Zhao Y Wei K Chi H Xia Z Li X . IL-7: A promising adjuvant ensuring effective T cell responses and memory in combination with cancer vaccines . Front Immunol . ( 2022 ) 13 : 1022808 . doi: 10.3389/fimmu.2022.1022808 , PMID: 36389666 PMC9650235
96 Maus MV Alexander S Bishop MR Brudno JN Callahan C Davila ML . Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immune effector cell-related adverse events . J Immunother Cancer . ( 2020 ) 8 : e001511 . doi: 10.1136/jitc-2020-001511 , PMID: 33335028 PMC7745688
97 Santomasso BD Nastoupil LJ Adkins S Lacchetti C Schneider BJ Anadkat M . Management of immune-related adverse events in patients treated with chimeric antigen receptor T-cell therapy: ASCO guideline . J Clin Oncol . ( 2021 ) 39 : 3978–92 . doi: 10.1200/JCO.21.01992 , PMID: 34724386
98 Salem JE Allenbach Y Vozy A Brechot N Johnson DB Moslehi JJ . Abatacept for severe immune checkpoint inhibitor-associated myocarditis . N Engl J Med . ( 2019 ) 380 : 2377–9 . doi: 10.1056/NEJMc1901677 , PMID: 31189043
99 Salem JE Ederhy S Belin L Cano NM Grinda JM Roquelaure B . Abatacept dose-finding phase II triaL for immune checkpoint inhibitors myocarditis (ACHLYS) trial design . Arch Cardiovasc Dis . ( 2025 ) 118 : 106–15 . doi: 10.1016/j.acvd.2024.12.005 , PMID: 39743436
100 Wadden E Lai C Grivas P Peugh J Ison J Jaeger V . Successful treatment of immune checkpoint inhibitor-associated fulminant myocarditis with abatacept and ruxolitinib: a case report . Eur Heart J Case Rep . ( 2025 ) 9 : ytaf019 . doi: 10.1093/ehjcr/ytaf019 , PMID: 39963309 PMC11831032
101 De Lombaerde E De Wever O De Geest BG . Delivery routes matter: Safety and efficacy of intratumoral immunotherapy . Biochim Biophys Acta Rev Cancer . ( 2021 ) 1875 : 188526 . doi: 10.1016/j.bbcan.2021.188526 , PMID: 33617921
102 Tan Z Wu Y Fan Z Tian W Peng P Zhu B . Intratumoral oncolytic virus OH2 injection in patients with locally advanced or metastatic sarcoma: a phase 1/2 trial . J Immunother Cancer . ( 2025 ) 13 : e010543 . doi: 10.1136/jitc-2024-010543 , PMID: 39824528 PMC11748782
103 Sedrak MS Ji J Tiwari A Mohile SG Dale W Le-Rademacher JG . Clinical trial enrollment, ineligibility, and reasons for decline in older vs younger patients with cancer in the national cancer institute community oncology research program . JAMA Netw Open . ( 2022 ) 5 : e2235714 . doi: 10.1001/jamanetworkopen.2022.35714 , PMID: 36215074 PMC9552900
104 Dale W Klepin HD Williams GR Wildes TM Sanoff HK Mohile SG . Practical assessment and management of vulnerabilities in older patients receiving systemic cancer therapy: ASCO guideline update . J Clin Oncol . ( 2023 ) 41 : 4293–312 . doi: 10.1200/JCO.23.00933 , PMID: 37459573 PMC12803700
105 Dale W Williams GR R MacKenzie A Apostolidis T Enright H Guerard EJ . How is geriatric assessment used in clinical practice for older adults with cancer? A survey of cancer providers by the american society of clinical oncology . JCO Oncol Pract . ( 2021 ) 17 : 336–44 . doi: 10.1200/OP.20.00442 , PMID: 33064058 PMC8462667
106 Mohile SG Mohamed MR Xu H Culakova E Loh KP Magnuson A . Evaluation of geriatric assessment and management on the toxic effects of cancer treatment (GAP70+): a cluster-randomised study . Lancet . ( 2021 ) 398 : 1894–904 . doi: 10.1016/S0140-6736(21)01789-X , PMID: 34741815 PMC8647163
107 Puts M Alqurini N Strohschein F McWatters K Phillips S Tourangeau AE . Impact of geriatric assessment and management on quality of life, unplanned hospitalizations, toxicity, and survival for older adults with cancer: the randomized 5C trial . J Clin Oncol . ( 2023 ) 41 : 847–58 . doi: 10.1200/JCO.22.01007 , PMID: 36473126 PMC9902020
108 Mahmood SS Fradley MG Cohen JV Nohria A Reynolds KL Heinzerling LM . Myocarditis in patients treated with immune checkpoint inhibitors . J Am Coll Cardiol . ( 2018 ) 71 : 1755–64 . doi: 10.1016/j.jacc.2018.02.037 , PMID: 29567210 PMC6196725
109 Moslehi JJ Salem JE Sosman JA Lebrun-Vignes B Johnson DB . Increased reporting of fatal immune checkpoint inhibitor-associated myocarditis . Lancet . ( 2018 ) 391 : 933 . doi: 10.1016/S0140-6736(18)30533-6 , PMID: 29536852 PMC6668330
110 Sharma A Alexander G Chu JH Bintoro BS McGregor C Delgado D . Immune checkpoint inhibitors and cardiotoxicity: A comparative meta-analysis of observational studies and randomized controlled trials . J Am Heart Assoc . ( 2024 ) 13 : e032620 . doi: 10.1161/JAHA.123.032620 , PMID: 38761070 PMC11179795
111 Kim M Ladomersky E Mozny A Kocherginsky M Chong HY Wang J . Glioblastoma as an age-related neurological disorder in adults . Neuro-Oncology Adv . ( 2021 ) 3 : vdab125 . doi: 10.1093/noajnl/vdab125 , PMID: 34647022 PMC8500689
112 Xia C Yin S To K Fu L . CD39/CD73/A2AR pathway and cancer immunotherapy . Mol Cancer . ( 2023 ) 22 : 44 . doi: 10.1186/s12943-023-01733-x , PMID: 36859386 PMC9979453
113 Jacquerie A Hoeben A Eekers D Wesseling P Venneti S Vandertop WP . Prognostic relevance of high expression of kynurenine pathway markers in glioblastoma . Sci Rep . ( 2024 ) 14 : 14975 . doi: 10.1038/s41598-024-65907-3 , PMID: 38951170 PMC11217262
114 Palmer S Albergante L Blackburn CC Newman TJ . Thymic involution and rising disease incidence with age . Proc Natl Acad Sci U S A . ( 2018 ) 115 : 1883–8 . doi: 10.1073/pnas.1714478115 , PMID: 29432166 PMC5828591
115 Schroeter A Roesel MJ Matsunaga T Xiao Y Zhou H Tullius SG . Aging affects the role of myeloid-derived suppressor cells in alloimmunity . Front Immunol . ( 2022 ) 13 : 917972 . doi: 10.3389/fimmu.2022.917972 , PMID: 35874716 PMC9296838
116 Shurin MR Shurin GV Chatta GS . Aging and the dendritic cell system: implications for cancer . Crit Rev Oncol Hematol . ( 2007 ) 64 : 90 – 105 . doi: 10.1016/j.critrevonc.2007.03.002 , PMID: 17446082 PMC2084365
117 Solana R Tarazona R Gayoso I Lesur O Dupuis G Fulop T . Innate immunosenescence: effect of aging on cells and receptors of the innate immune system in humans . Semin Immunol . ( 2012 ) 24 : 331–41 . doi: 10.1016/j.smim.2012.04.008 , PMID: 22560929
118 Ma S Wang C Mao X Hao Y . B cell dysfunction associated with aging and autoimmune diseases . Front Immunol . ( 2019 ) 10 : 318 . doi: 10.3389/fimmu.2019.00318 , PMID: 30873171 PMC6400972
119 Yi M Niu M Xu L Luo S Wu K . Regulation of PD-L1 expression in the tumor microenvironment . J Hematol Oncol . ( 2021 ) 14 : 10 . doi: 10.1186/s13045-020-01027-5 , PMID: 33413496 PMC7792099
120 Ma F Vayalil J Lee G Wang Y Peng G . Emerging role of tumor-derived extracellular vesicles in T cell suppression and dysfunction in the tumor microenvironment . J Immunother Cancer . ( 2021 ) 9 : e003217 . doi: 10.1136/jitc-2021-003217 , PMID: 34642246 PMC8513270
121 Agrawal A Agrawal S Gupta S . Role of dendritic cells in inflammation and loss of tolerance in the elderly . Front Immunol . ( 2017 ) 8 : 896 . doi: 10.3389/fimmu.2017.00896 , PMID: 28798751 PMC5526855
122 Gabrilovich D Ishida T Oyama T Ran S Nadaf S Kavanaugh D . Vascular endothelial growth factor inhibits the development of dendritic cells and dramatically affects the differentiation of multiple hematopoietic lineages in vivo . Blood . ( 1998 ) 92 : 4150–66 . doi: 10.1182/blood.V92.11.4150 9834220
123 Fane M Weeraratna AT . How the ageing microenvironment influences tumour progression . Nat Rev Cancer . ( 2020 ) 20 : 89 – 106 . doi: 10.1038/s41568-019-0222-9 , PMID: 31836838 PMC7377404
124 Kaur A Webster MR Marchbank K Behera R Ndoye A Kugel CH 3rd . sFRP2 in the aged microenvironment drives melanoma metastasis and therapy resistance . Nature . ( 2016 ) 532 : 250–4 . doi: 10.1038/nature17392 , PMID: 27042933 PMC4833579
125 Kugel CH 3rd Douglass SM Webster MR Kaur A Liu Q Yin X . Age correlates with response to anti-PD1, reflecting age-related differences in intratumoral effector and regulatory T-cell populations . Clin Cancer Res . ( 2018 ) 24 : 5347–56 . doi: 10.1158/1078-0432.CCR-18-1116 , PMID: 29898988 PMC6324578
126 Pol JG Workenhe ST Konda P Gujar S Kroemer G . Cytokines in oncolytic virotherapy . Cytokine Growth Factor Rev . ( 2020 ) 56 : 4 – 27 . doi: 10.1016/j.cytogfr.2020.10.007 , PMID: 33183957
127 Raimondi V Vescovini R Dessena M Donofrio G Storti P Giuliani N . Oncolytic viruses: a potential breakthrough immunotherapy for multiple myeloma patients . Front Immunol . ( 2024 ) 15 : 1483806 . doi: 10.3389/fimmu.2024.1483806 , PMID: 39539548 PMC11557349
128 Lee J Ghonime MG Wang R Cassady KA . The antiviral apparatus: STING and oncolytic virus restriction . Mol Ther Oncolytics . ( 2019 ) 13 : 7 – 13 . doi: 10.1016/j.omto.2019.02.002 , PMID: 30989105 PMC6447737
129 Chen B Zhao J Zhang D Zheng A Wu G . Immunotherapy of cancer by targeting regulatory T cells . Int Immunopharmacology . ( 2022 ) 104 : 108469 . doi: 10.1016/j.intimp.2021.108469 , PMID: 35008005
130 Semmrich M Marchand JB Fend L Merillon N Jacob D Villemin A . Vectorized Treg-depleting αCTLA-4 elicits antigen cross-presentation and CD8(+) T cell immunity to reject ‘cold’ tumors . J Immunother Cancer . ( 2022 ) 10 : e003488 . doi: 10.1136/jitc-2021-003488 , PMID: 35058324 PMC8783833
131 Iglesias P Ribero S Barreiro A Quintas L Patrao J Carrera C . Induced vitiligo due to talimogene laherparepvec injection for metastatic melanoma associated with long-term complete response . Acta Derm Venereol . ( 2019 ) 99 : 232–3 . doi: 10.2340/00015555-3061 , PMID: 30281140
132 Mirbahari SN Da Silva M Zúñiga A Rahman MM McFadden G . Recent progress in combination therapy of oncolytic vaccinia virus . Front Immunol . ( 2024 ) 15 : 1272351 . doi: 10.3389/fimmu.2024.1272351 , PMID: 38558795 PMC10979700
133 Velardi E Dudakov JA van den Brink MR . Sex steroid ablation: an immunoregenerative strategy for immunocompromised patients . Bone Marrow Transplant . ( 2015 ) 50 Suppl 2 : S77–81 . doi: 10.1038/bmt.2015.101 , PMID: 26039214 PMC5067941