1. Introduction
Lung cancer remains the leading cause of cancer-related mortality worldwide, with non-small-cell lung cancer (NSCLC) accounting for approximately 85% of all cases [ 1 ]. Over the past two decades, the identification of actionable oncogenic driver alterations has fundamentally reshaped the therapeutic landscape of advanced NSCLC. Approximately 50% of patients with non-squamous NSCLC harbor gene alterations now classified as actionable oncogenic drivers, a proportion that continues to increase with improved detection methods and the discovery of new targetable alterations [ 2 ]. The most prevalent of these include mutations in EGFR (12–48%, varying by ethnicity), KRAS (including G12C, ~10–31%), and gene fusions involving ALK (~2–5%), ROS1 (~1–2%), and RET (~1–2%), as well as less common but clinically significant alterations in MET exon 14 skipping (~2–3%), ERBB2/HER2 mutations (~2–3%), BRAF V600E (~1–2%), NTRK1/2/3 fusions (1%), and NRG1 fusions (1%) [ 3 , 4 ]. Substantial differences exist between populations, with Asian cohorts exhibiting higher rates of EGFR mutations and lower rates of KRAS G12C mutations compared with Western populations [ 2 ]. Current guidelines from the National Comprehensive Cancer Network (NCCN) and the American Society of Clinical Oncology (ASCO) recommend comprehensive multigene panel testing (MGPT) at diagnosis to identify all recognized biomarkers, as treatment is specific for each alteration [ 5 , 6 ]. Although immune checkpoint inhibitors (ICIs) have transformed the treatment of NSCLC without actionable driver alterations, their efficacy in oncogene-driven subtypes remains limited, and this review therefore focuses on TKIs, ADCs, and bispecific antibodies as the principal therapeutic modalities for this population [ 7 ].
Tyrosine kinase inhibitors (TKIs) have served as the cornerstone of targeted therapy for oncogene-driven NSCLC since the approval of first-generation EGFR inhibitors. Successive generations of TKIs have delivered progressively improved efficacy, selectivity, and central nervous system (CNS) penetration across multiple driver subtypes [ 2 , 8 ]. However, despite remarkable initial responses, virtually all patients treated with TKIs eventually develop resistance, whether through on-target kinase domain mutations, bypass signaling activation, or histologic transformation [ 9 , 10 ]. The median overall survival for patients receiving first-line EGFR-TKI monotherapy remains approximately three years, with estimated real-world five-year survival below 20% [ 11 ]. Resistance to third-generation EGFR-TKIs such as osimertinib is diverse and polyclonal, with the most common identifiable mechanisms being secondary EGFR pathway alterations (e.g., C797S) and MET pathway activation, though up to 50% of patients lack an identified resistance mechanism [ 11 , 12 ]. Similarly, in ALK-rearranged NSCLC, resistance to second-generation inhibitors frequently involves the G1202R solvent-front mutation, which can be overcome by the third-generation inhibitor lorlatinib, though compound mutations may subsequently emerge [ 5 , 9 ]. These patterns of inevitable resistance, CNS progression, and tumor heterogeneity represent critical unmet needs that have catalyzed the development of novel therapeutic modalities [ 10 ].
Into this landscape, two competing therapeutic classes have rapidly emerged. Antibody–drug conjugates (ADCs) represent a class of cytotoxic precision agents that combine the targeting specificity of monoclonal antibodies with the cell-killing potency of chemotherapeutic payloads, offering activity that is often independent of the specific resistance mutation driving TKI failure [ 2 , 13 ]. Bispecific antibodies (bsAbs), exemplified by the EGFR-MET bispecific amivantamab, represent dual-targeting and immune-engaging biologics capable of simultaneously blocking multiple receptor pathways and recruiting immune effector cells [ 12 ]. Both classes have achieved regulatory approvals in NSCLC and are now being evaluated across multiple lines of therapy and oncogene-driven subtypes.
The central question confronting the field is as follows: Where do TKIs, ADCs, and bispecific antibodies each optimally fit within modern treatment algorithms, and will one class ultimately dominate? This review examines the mechanistic foundations, comparative molecular strengths and weaknesses, and emerging clinical positioning of these three therapeutic classes in oncogene-driven NSCLC.
2. Mechanistic Foundations of Each Therapeutic Class
2.1. Tyrosine Kinase Inhibitors (TKIs)
TKIs are small-molecule inhibitors that block the catalytic activity of receptor tyrosine kinases by competing with adenosine triphosphate (ATP) at the kinase domain binding site or, less commonly, by engaging allosteric regulatory regions [ 2 , 8 ]. Their pharmacologic properties—oral bioavailability, relatively small molecular size, and the capacity for rational structural optimization—have enabled the development of multiple generations of inhibitors with progressively improved potency, selectivity, and CNS penetration profiles.
In EGFR-mutant NSCLC, first-generation reversible inhibitors (erlotinib, gefitinib) were supplanted by the second-generation irreversible inhibitor afatinib and subsequently by the third-generation mutant-selective inhibitor osimertinib, which covalently binds the C797 residue and retains activity against the T790M resistance mutation [ 14 ]. Osimertinib demonstrates superior CNS penetration compared with earlier-generation agents and is the current standard first-line therapy [ 15 ]. Lazertinib, another third-generation EGFR-TKI with high CNS penetrance, has been approved in combination with amivantamab [ 11 ]. In ALK-rearranged NSCLC, the therapeutic armamentarium spans from the first-generation inhibitor crizotinib through second-generation agents (alectinib, brigatinib, ceritinib, ensartinib) to the third-generation inhibitor lorlatinib, each offering broader resistance mutation coverage and improved intracranial activity [ 16 ]. Lorlatinib provides the broadest resistance mutation coverage, including activity against the G1202R mutation and compound mutations, with an intracranial complete response rate of 71% in the CROWN trial [ 5 , 16 ]. For other driver subtypes, selective TKIs include capmatinib and tepotinib (MET exon 14 skipping), selpercatinib and pralsetinib (RET fusions), crizotinib, entrectinib, repotrectinib, and taletrectinib (ROS1 fusions), dabrafenib/trametinib and encorafenib/binimetinib (BRAF V600E), sotorasib and adagrasib (KRAS G12C), and the recently approved zongertinib and sevabertinib (HER2 mutations) [ 15 ].
The dominant mechanisms of resistance to TKIs can be broadly categorized as on-target and off-target [ 9 , 17 ]. On-target resistance involves secondary mutations within the kinase domain that impair drug binding , exemplified by EGFR T790M (resistance to first/second-generation TKIs), EGFR C797S (resistance to osimertinib), and ALK G1202R (resistance to second-generation ALK inhibitors) [ 10 , 14 , 18 , 19 ]. Additional on-target EGFR resistance mutations identified after osimertinib include L718Q, L792H, and G796/C797 alterations [ 19 ]. Off-target resistance mechanisms include bypass signaling activation (most commonly MET amplification, HER2/HER3 amplification, and oncogenic fusions), downstream pathway reactivation (RAS/MAPK, PI3K/AKT), cell-cycle gene alterations, and histologic transformation to small cell lung cancer or squamous cell carcinoma [ 9 , 17 ]. Notably, resistance is frequently polyclonal, with multiple mechanisms coexisting within the same patient, and up to 50% of patients progressing on osimertinib lack an identifiable molecular resistance mechanism [ 11 , 12 ].
2.2. Antibody–Drug Conjugates (ADCs)
ADCs are engineered biopharmaceuticals composed of three structural components: a monoclonal antibody directed against a tumor-associated surface antigen, a chemical linker, and a cytotoxic payload [ 20 , 21 , 22 ]. The antibody confers target specificity and facilitates receptor-mediated endocytosis upon binding to the cell-surface antigen. Following internalization, the ADC is trafficked through the endosomal-lysosomal pathway, where the linker is cleaved (in the case of cleavable linkers) or the antibody is degraded (for non-cleavable linkers), releasing the cytotoxic payload intracellularly [ 23 , 24 ].
Linker chemistry is a critical determinant of ADC pharmacology. Cleavable linkers—including acid-labile hydrazones, protease-sensitive peptide sequences (e.g., the valine-citrulline dipeptide or the glycine-glycine-phenylalanine-glycine tetrapeptide used in deruxtecan-based ADCs), and disulfide bonds—are designed to release the payload selectively within the tumor microenvironment or upon lysosomal processing [ 20 , 25 ]. Non-cleavable linkers, such as the thioether linker in ado-trastuzumab emtansine (T-DM1), require complete antibody degradation for payload release and generally produce less membrane-permeable metabolites, limiting the bystander effect [ 22 , 26 ]. The drug-to-antibody ratio (DAR) influences both efficacy and tolerability; trastuzumab deruxtecan (T-DXd) achieves a high DAR of approximately 8, contributing to its potent antitumor activity [ 27 , 28 ].
The cytotoxic payloads employed in NSCLC-relevant ADCs fall into two principal categories. Topoisomerase I inhibitors, exemplified by the deruxtecan (DXd) payload used in trastuzumab deruxtecan and datopotamab deruxtecan, induce DNA single-strand breaks during replication, leading to replication fork collapse and apoptosis [ 27 , 29 ]. Microtubule-disrupting agents, including the monomethyl auristatin E (MMAE) payload in telisotuzumab vedotin and the maytansinoid in ado-trastuzumab emtansine, inhibit tubulin polymerization and arrest cells in mitosis [ 20 , 21 ].
A pharmacologically distinctive feature of certain ADCs is the bystander effect—the capacity of released membrane-permeable payloads to diffuse into and kill neighboring tumor cells that may not express the target antigen [ 26 , 30 ]. This property is particularly relevant in the context of tumor heterogeneity, where antigen expression may be variable across the tumor mass. ADCs with cleavable linkers and hydrophobic, membrane-permeable payloads (e.g., T-DXd) demonstrate a robust bystander effect, which may partly explain their efficacy in tumors with heterogeneous or low-level antigen expression [ 30 , 31 ]. In contrast, ADCs with non-cleavable linkers (e.g., T-DM1) generate charged, membrane-impermeable metabolites with minimal bystander killing, which may limit their efficacy in antigen-heterogeneous tumors [ 26 , 30 ].
ADCs currently approved or in advanced clinical development for NSCLC include trastuzumab deruxtecan (anti-HER2; approved for HER2-mutant NSCLC and HER2 IHC 3+ tumors); datopotamab deruxtecan (anti-TROP2; approved for EGFR-mutant NSCLC after prior EGFR-directed therapy and platinum-based chemotherapy); and telisotuzumab vedotin (anti-c-MET; approved for c-MET-high non-squamous NSCLC after prior systemic therapy) [ 27 ]. The toxicity profile of ADCs is shaped by the target antigen, the cytotoxic payload, and the linker chemistry. Linker design is a critical determinant of ADC safety: cleavable linkers may release unpredictable amounts of payload extracellularly within the proteolytic-rich tumor microenvironment, enabling a bystander effect but also allowing free payload to re-enter the bloodstream and cause off-target systemic toxicities [ 32 , 33 ]. A large-scale pharmacovigilance analysis of FDA-approved ADCs demonstrated distinct component-specific toxicity signatures: ADCs with cleavable linkers showed enrichment for pulmonary toxicity and infections, while non-cleavable linker ADCs exhibited a distinctive pattern dominated by ocular toxicity, particularly corneal epithelial and stromal injury [ 34 ]. Furthermore, a comprehensive analysis of over 7800 patients across 40 clinical trials found that ADCs with cleavable linkers had a 47% severe toxicity rate compared to 34% for non-cleavable linkers, reflecting the trade-off between enhanced bystander-mediated antitumor activity and increased off-target effects [ 35 ]. The drug-to-antibody ratio (DAR) further modulates this relationship, with DAR > 5 ADCs demonstrating heterogeneous multi-organ toxicity profiles spanning metabolic, hepatic, pulmonary, and neurological domains [ 36 ].
Interstitial lung disease (ILD) is the most clinically significant toxicity, occurring in approximately 10–15% of patients treated with T-DXd, with rare fatal cases [ 28 , 37 ]. Importantly, ILD/pneumonitis is not exclusive to T-DXd but has been reported across multiple ADC classes, including datopotamab deruxtecan (8.8% in TROPION-Lung01), sacituzumab govitecan, and other deruxtecan-based and non-deruxtecan ADCs, though incidence rates and severity vary substantially by payload, linker chemistry, and DAR [ 34 , 38 ]. A real-world pharmacovigilance analysis confirmed that even among topoisomerase I inhibitor-based ADCs sharing the same payload class, divergent pulmonary toxicity profiles emerge: T-DXd demonstrated a strong ILD signal (ROR 34.6), whereas sacituzumab govitecan did not exhibit a significant ILD signal, likely reflecting differences in linker chemistry and DAR [ 38 ]. These findings underscore that ILD risk assessment should be individualized to each ADC rather than generalized across the class.
Other class-relevant toxicities include gastrointestinal effects (nausea, mucositis), hematologic cytopenias, and ocular toxicity, which vary by payload and target [ 24 , 39 ].
Unlike TKIs, ADC efficacy does not depend on inhibition of a specific signaling pathway; rather, their cytotoxic activity is mediated by the payload, which allows them to retain activity in the setting of diverse TKI resistance mechanisms, including on-target kinase mutations and bypass signaling activation [ 40 , 41 ]. However, their effectiveness is influenced by target antigen expression and internalization efficiency, with preclinical data demonstrating a strong linear relationship between receptor density and intracellular payload exposure [ 42 , 43 ]. Notably, this relationship is not absolute: ADCs with potent bystander effects, such as trastuzumab deruxtecan, have demonstrated efficacy even in tumors with heterogeneous or low-level antigen expression, as the membrane-permeable payload can diffuse into neighboring antigen-negative cells [ 30 , 44 ]. In addition, the larger molecular size of ADCs (~150 kDa) limits blood–brain barrier penetration relative to small-molecule TKIs. Nevertheless, emerging clinical evidence demonstrates intracranial activity for several ADCs in NSCLC, including trastuzumab deruxtecan in ERBB2-mutant disease, datopotamab deruxtecan (intracranial ORR 22% in patients with measurable brain lesions), and patritumab deruxtecan in patients with active brain metastases (TUXEDO-3) [ 45 , 46 ]. Proposed mechanisms facilitating CNS activity include disruption of the blood–brain barrier at metastatic sites (replaced by a blood-tumor barrier with higher endothelial fenestration), membrane-permeable payloads, high drug-to-antibody ratios, and bystander effects [ 45 , 47 ]. Toxicity profiles are driven largely by the payload, with ILD/pneumonitis representing the most clinically significant concern. A meta-analysis reported an overall all-grade ILD incidence of 5.86% across ADCs, rising to 13.58% with trastuzumab deruxtecan specifically [ 48 ]. In NSCLC, ILD rates are the highest among solid tumors, reaching 26% at the 6.4 mg/kg dose in DESTINY-Lung01 and 14.9% at the approved 5.4 mg/kg dose in DESTINY-Lung02, with rare fatal cases [ 27 , 49 ]. ILD incidence does not appear to correlate with target antigen expression, suggesting that payload and linker characteristics are the primary determinants of pulmonary toxicity [ 50 , 51 ].
2.3. Bispecific Antibodies (bsAbs)
Bispecific antibodies are engineered immunoglobulin-based molecules designed to simultaneously engage two distinct epitopes or antigens [ 52 , 53 ]. In the context of NSCLC, the prototypical and most clinically advanced bsAb is amivantamab, a fully human IgG1-based bispecific antibody that binds the extracellular domains of both EGFR and MET [ 52 ].
The mechanism of action of amivantamab is multifaceted and distinct from that of TKIs. First, amivantamab blocks ligand binding to both EGFR and MET, inhibiting receptor activation and downstream signaling through the RAS/MAPK and PI3K/AKT pathways [ 54 ]. Second, amivantamab induces receptor internalization and lysosomal degradation, effectively downregulating surface expression of both EGFR and MET—a mechanism that is not dependent on the specific kinase domain mutation and can therefore bypass TKI resistance mutations such as C797S and exon 20 insertions [ 52 , 53 , 55 ]. Third, amivantamab engages immune effector cells through its low-fucose, optimized Fc domain, mediating antibody-dependent cellular cytotoxicity (ADCC) via natural killer cells and antibody-dependent cellular trogocytosis (ADCT) via macrophages [ 56 , 57 ]. Preclinical studies have demonstrated that MET expression on tumor cells enhances amivantamab binding to EGFR and augments ADCC activity, providing a mechanistic rationale for the dual-targeting approach [ 58 ].
The structural format of amivantamab is an IgG1-like bispecific with one arm binding EGFR domain III and the other binding the MET Sema domain [ 52 ]. Other bispecific formats under investigation in NSCLC include dual-Fab constructs and Fc-engineered molecules designed to optimize valency, half-life, or effector function. Beyond amivantamab, zenocutuzumab is a bispecific antibody targeting HER2 and HER3 that has been approved for NRG1 fusion-positive NSCLC; it functions by blocking neuregulin-1-mediated HER2–HER3 heterodimerization and downstream signaling [ 59 ]. Multi-target bsAbs engaging other receptor combinations (e.g., EGFR/HER2, ALK/MET) are in preclinical and early clinical development [ 60 ].
The toxicity profile of bispecific antibodies differs from that of both TKIs and ADCs. Infusion-related reactions are the most common acute toxicity, occurring predominantly during early treatment cycles and manageable with premedication and dose modifications [ 53 ]. Dermatologic toxicity (acneiform rash, paronychia) and peripheral edema reflect on-target EGFR and MET pathway modulation, respectively [ 53 ]. Venous thromboembolism has been observed at increased rates in combination regimens [ 11 , 12 ]. The requirement for intravenous administration (though subcutaneous formulations are in development) represents a logistical consideration compared with oral TKIs. The distinct mechanisms of action of TKIs, ADCs, and bispecific antibodies are summarized in Figure 1 .
2.4. Comparative Molecular Strengths and Weaknesses
A comparative overview of the major molecular characteristics, strengths, and limitations of each therapeutic class is provided in Table 1 . Each therapeutic class possesses distinct molecular advantages and limitations that inform their positioning within treatment algorithms.
2.4.1. TKI
TKIs offer unparalleled molecular precision for defined kinase domain targets, with high oral bioavailability and, for later-generation agents, excellent CNS penetration (intracranial ORR up to 71–87% for lorlatinib and alectinib) [ 5 , 16 ]. Their principal vulnerability is susceptibility to single-point resistance mutations that alter the drug-binding site, as well as bypass signaling activation that renders continued kinase inhibition insufficient [ 9 , 17 ]. The oral route of administration and generally manageable toxicity profile support long-term use and patient convenience.
2.4.2. ADC
ADCs derive their potency from the cytotoxic payload rather than from inhibition of a specific signaling pathway, rendering them effective against tumors harboring diverse resistance mutations, provided the target antigen is expressed on the cell surface [ 2 , 13 ]. The bystander effect extends their activity to antigen-heterogeneous tumors [ 30 ]. However, ADC efficacy is fundamentally dependent on adequate antigen expression and efficient internalization, and their large molecular size limits blood–brain barrier penetration, though emerging data suggest intracranial activity for newer ADCs such as T-DXd and datopotamab deruxtecan, likely facilitated by BBB disruption at metastatic sites and membrane-permeable payloads [ 16 , 47 ]. ILD/pneumonitis remains a significant safety concern [ 37 ].
2.4.3. Bispecific Antibodies
Bispecific antibodies uniquely combine simultaneous blockade of two receptor pathways with immune effector cell engagement, offering a mechanistic approach to bypass pathway-mediated resistance (e.g., MET amplification after EGFR-TKI) without relying on cytotoxic payloads [ 12 ]. Receptor downregulation via internalization and degradation provides an additional mechanism independent of kinase domain mutations [ 52 , 53 ]. However, bsAbs share the CNS penetration limitations of large-molecule biologics, require intravenous administration, and their immune-mediated mechanisms may be influenced by the tumor immune microenvironment [ 47 , 57 ]. Infusion reactions and the logistical burden of IV therapy are practical considerations [ 53 ].
3. Clinical Evidence Across Therapeutic Classes
3.1. Tyrosine Kinase Inhibitors (TKIs): The Initial Backbone
3.1.1. EGFR-TKI
The treatment of oncogene-driven NSCLC has evolved substantially after the introduction of targeted TKIs over the past two decades. Epidermal growth factor receptor (EGFR) gene mutations in NSCLC are one of the most common actionable mutations, leading to the development of three generations of EGFR-TKIs encompassing five drugs being approved for the treatment of EGFR-mutated NSCLC [ 61 ]. Osimertinib, a third-generation EGFR-TKI, became a first-line standard of care for advanced-stage or metastatic EGFR-mutated (exon 19 deletion or L858R mutation) NSCLC after significantly improving progression-free survival (PFS) to 18.9 months compared to 10.2 months with earlier-generation EGFR-TKIs (HR 0.46; 95% CI 0.37–0.57; p < 0.001), with fewer grade 3 toxicities and higher central nervous system (CNS) activity in the phase III FLAURA trial [ 62 ]. In the follow-up phase III FLAURA2 trial, the addition of chemotherapy to osimertinib significantly improved median overall survival (OS) to 47.5 months compared to 37.6 months with osimertinib monotherapy (HR 0.77; 95% CI 0.61–0.96; p = 0.02), albeit with increased toxicity, fortifying the osimertinib plus chemotherapy regimen as a first-line standard for advanced-stage EGFR-mutated NSCLC [ 63 ].
3.1.2. ALK-TKI
Anaplastic lymphoma kinase (ALK) gene rearrangements are another common actionable target in advanced-stage or metastatic NSCLC, leading to the development of three generations of ALK-TKIs, with six drugs being approved for ALK-positive NSCLC [ 64 ]. Alectinib, a second-generation ALK-TKI, demonstrated improved PFS of 48.2 months compared to 23.3 months with crizotinib (HR 0.43; 95% CI 0.32–0.58; p < 0.0001) and notably decreased rates of CNS progression (12% vs. 45%) (HR 0.16; 95% CI 76–88.5; p < 0.001) in advanced-stage ALK-positive NSCLC in the phase III ALEX trial [ 65 , 66 ]. Brigatinib, another second-generation ALK-TKI, also proved to be significantly superior compared to crizotinib with improved PFS of 67% vs. 43% (HR 0.49; 95% CI 0.33–0.74; p < 0.001) and compelling intracranial response rates of 78% vs. 29% in the phase III ALTA-1L trial [ 67 ]. Most impressively, in the phase III CROWN trial, lorlatinib, a third-generation ALK-TKI, did not reach median PFS at 5-year follow-up versus 9.1 months with crizotinib (HR 0.19; 95% CI 0.13–0.27) and demonstrated an improved 5-year PFS of 60% versus 8% with crizotinib (HR 0.19; 95% CI 51–68), which is notably the longest PFS documented with monotherapy targeted treatment in advanced-stage NSCLC and all metastatic solid tumors [ 68 ]. Lorlatinib had excellent intracranial response rates for brain metastases compared to crizotinib (82% vs. 23%), including 71% of patients with a complete intracranial response [ 69 ]. Lorlatinib established itself as an effective first-line standard of care for ALK-rearranged NSCLC given its robust response rates.
3.1.3. KRAS G12C TKI
KRAS is the most commonly mutated oncogene in non-squamous NSCLC in Western populations, occurring in approximately 25–33% of lung adenocarcinomas. KRAS G12C is the most prevalent KRAS variant, accounting for ~40% of KRAS mutations and ~10–13% of advanced non-squamous NSCLC [ 70 ]. In previously treated advanced-stage or metastatic KRAS-mutated NSCLC patients, sotorasib demonstrated improved PFS of 5.6 months compared to 4.5 months with docetaxel (HR 0.66; 95% CI 0.51–0.86, p = 0.0017) with improved tolerability and fewer grade 3 toxicities in the phase III Code Break 200 trial [ 71 ]. Adagrasib demonstrated improved PFS of 5.5 months versus 3.8 months with docetaxel (HR 0.58; 95% CI 0.45–0.76; p < 0.0001) in previously treated patients in the phase III KRYSTAL-12 trial [ 72 ]. There are several ongoing studies evaluating use of KRAS G12C TKIs in first-line management. The phase II KRYSTAL-7 trial showed the adagrasib plus pembrolizumab combination had a median PFS of 27.7 months with tolerable toxicity in patients with KRAS G12C-mutated NSCLC with a PD-L1 ≥ 50%, ultimately leading to further evaluation with an ongoing phase III trial [ 73 ]. Further follow-up is necessary to determine the optimal frontline therapy for KRAS G12C advanced-stage NSCLC.
3.1.4. HER2-TKI
There are several human epidermal growth factor receptor 2 (HER2)-targeted TKIs including pan-HER TKIs (afatinib, dacomitinib, neratinib, poziotinib, pyrotinib, tarloxotinib, mobecertinib), EGFR/HER2 TKIs (lapatinib), and HER2-specific TKIs (zongertinib, sevabertinib) [ 74 ]. In HER2-altered advanced-stage or metastatic NSCLC, the pan-HER2 TKIs were shown to have lower response rates; however, HER2-specific TKIs have proven to be efficacious [ 74 ]. In the phase I Beamion LUNG-1 trial, zongertinib (HER2-specific TKI) showed confirmed objective response in 71% (95% CI 60–80; p < 0.001), median PFS of 12.4 months, and no cases of interstitial lung disease (ILD) in previously treated HER2-mutant NSCLC [ 75 ]. The impressive results of this study led to accelerated FDA approval of zongertinib in 2025 and its listing as a first-line treatment option in NCCN guidelines for HER2 (ERBB2)-mutated advanced-stage NSCLC; however, phase III trials are still ongoing [ 75 ].
3.1.5. MET-TKI
MET exon 14 skipping mutations (METex14) are less commonly present in advanced-stage NSCLC, although it can be associated with MET amplification, which is a known resistance mechanism to EGFR-mutated NSCLC [ 76 ]. Capmatinib and tepotinib are selective MET-TKIs that have shown to be effective for first-line therapy in advanced-stage METex14-driven NSCLC. Tepotinib demonstrated an ORR of 51.4% (95% CI 45.8–57.1) in the overall population with advanced-stage METex14-driven NSCLC and showed a higher ORR of 57.3% (95% CI 49.4–65) in treatment-naïve patients in the phase II VISION trial [ 77 ]. Capmatinib had an ORR of 68% in previously treated patients (95% CI 55–79.7) and ORR of 44% in treatment-naïve patients (95% CI 34.1–54.3) in advanced-stage METex14-driven NSCLC in the phase II GEOMETRY mono-1 trial [ 77 ].
3.1.6. ROS, RET, and NTRK-TKI
ROS1, RET, and NTRK gene fusions are less common in advanced-stage NSCLC, although multiple selective TKIs including entrectinib (ROS1, NTRK), crizotinib (ROS1), selpercatinib (RET), pralsetinib (RET), and larotrectinib (NTRK) have shown high and durable response rates in frontline therapy [ 69 , 78 , 79 , 80 , 81 , 82 ]. Unfortunately, acquired resistance occurs across these subsets, highlighting the importance of further studies for subsequent lines of therapies.
3.2. Antibody–Drug Conjugates (ADCs): Quick Rise and Broad Activity
3.2.1. HER2-Directed ADC
HER2 is an ERBB family transmembrane tyrosine kinase receptor that is now an approved target for ADCs in patients with advanced-stage NSCLC whose disease has progressed on prior lines of therapy. In NSCLC, HER2 (ERBB2)-activating oncogenic alterations involve mutations (commonly exon 20 mutation), amplifications, and protein overexpression that leads to uncontrolled cell growth [ 74 ]. Trastuzumab deruxtecan (T-DXd), a HER2-directed ADC with a topoisomerase I inhibitor payload, has emerged as a promising and effective therapy for HER2-mutated NSCLC [ 27 ]. In the phase II trial DESTINY-Lung01, T-DXd 6.4 mg/kg every 3 weeks demonstrated confirmed objective response in 55% of patients with a median PFS of 8.2 months (95% CI 6–11.9) and OS of 17.8 months (95% CI 13.8–22.1) [ 83 ]. Grade 3 adverse events occurred in 46% of patients, with neutropenia and anemia being the most common, and adjudicated drug-related ILD occurred in 26% of patients (8.3% grade 5) [ 83 ]. It is worth noting that the HER2-mutant cohort achieved much higher overall response rates (ORR) when compared to HER2-overexpression or amplification, which only had modest activity [ 83 ]. In the phase II trial DESTINY-Lung02, T-DXd 5.4 mg/kg showed comparable ORR when compared to 6.4 mg/kg (50% vs. 56%) with a more favorable toxicity profile. Importantly, T-DXd 5.4 mg/m2 had significantly less adjudicated drug-related ILD occurring in 14.9% of patients compared to 32% with 6.4 mg/m2, supporting this as the safest dose for FDA approval in 2022 [ 49 ].
3.2.2. TROP2-Directed ADC
Trophoblast cell-surface antigen 2 (TROP-2) has become a viable therapeutic target for ADCs, as it has been found to be overexpressed in advanced-stage NSCLC regardless of mutations [ 84 ]. Datopotamab deruxtecan (Dato-DXd), a TROP-2-directed ADC with a topoisomerase I inhibitor payload, demonstrated improved median PFS of 4.4 months versus 3.7 months with docetaxel (HR 0.75; 95% CI 0.62–0.91; p = 0.004) and improved OS of 12.9 months versus 11.8 months (HR 0.94; 95% CI 0.78–1.14; p = 0.530) in previously treated advanced-stage NSCLC in the phase III TROPION-Lung01 study [ 85 ]. Dato-DXd had significantly fewer grade 3 adverse treatment-related events when compared to docetaxel (25.6% vs. 42.1%), with slightly higher rates of adjudicated drug-related ILD (8.8% vs. 4.1%) [ 85 ]. While OS was not statistically significant in the overall patient population of advanced-stage NSCLC, a pooled analysis of phase II TROPION-Lung05 and phase III TROPION-Lung01 showed that Dato-DXd had notably better outcomes in the EGFR-mutant subgroup when compared to the entire patient population [ 85 ]. Dato-DXd in previously treated EGFR-mutated advanced-stage NSCLC patients showed an ORR of 43% (95% CI 34–52), median PFS 5.8 months (95% CI 5.4–8.2), and median OS 15.6 months (95% CI 13.1–19) [ 86 ]. These results ultimately positioned Dato-DXd as a second-line treatment option post EGFR-TKI-directed therapy.
3.2.3. MET-Directed ADC
MET is a protooncogene that encodes a c-MET tyrosine kinase receptor that is now an approved target for ADCs in advanced-stage NSCLC. MET alterations associated with NSCLC tumor growth include MET overexpression, MET amplification, and MET mutations (exon 14 skipping mutation) [ 76 ]. MET overexpression is more common compared to MET amplification and MET mutations and confers a negative prognosis in NSCLC [ 87 ]. Telisotuzumab vedotin (Teliso-V), a c-MET-directed ADC with a monomethyl auristatin E cytotoxic payload, showed an ORR of 34.6% (95% CI 24.2–46.2), median PFS of 5.5 months (95% CI 4.1–8.3), and median OS of 14.6 months (95% CI 9.2–25.6) in advanced-stage EGFR-wild-type NSCLC with high c-MET overexpression (IHC 3+, ≥50% tumor cells) in the phase II LUMINOSITY trial [ 88 ]. This trial determined MET testing an important biomarker and ultimately lead to the first FDA approval in May 2025 for MET-directed ADC in advanced-stage NSCLC [ 88 ].
3.3. Bispecific Antibodies: The New Therapeutic Class
3.3.1. Amivantamab: EGFR/MET Bispecific
Amivantamab is an EGFR-MET bispecific antibody that was initially engineered to overcome EGFR- and MET-mediated resistance pathways in advanced-stage or metastatic NSCLC [ 55 ]. In the CHRYSALIS phase I trial, amivantamab demonstrated an ORR of 40% (95% CI 29–52) and median PFS of 8.3 months (95% CI 6.9—not reached) in advanced-stage EGFR-exon-20-insertion-mutated NSCLC after progression on first-line platinum-based chemotherapy [ 89 ]. The results of CHRYSALIS resulted in accelerated FDA approval and introduction as the first approved therapy for EGFR-exon-20-insertion-mutated NSCLC with progression on prior chemotherapy [ 90 ]. In the subsequent phase III PAPILLON trial, amivantamab plus chemotherapy demonstrated a significantly longer PFS of 11.4 months compared to 6.7 months with standard chemotherapy (HR 0.4; 95% CI 0.3–0.53; p < 0.001), ultimately establishing this new regimen as first-line treatment for EGFR-exon-20-insertion-mutated NSCLC [ 55 ].
Subsequent pivotal trials explored the addition of lazertinib, a third-generation EGFR-TKI, to amivantamab for EGFR-mutated (exon 19 deletion or exon 21 L858R substitutions) advanced-stage or metastatic NSCLC [ 12 ]. In the phase III MARIPOSA trial, amivantamab plus lazertinib demonstrated a significantly longer median PFS of 23.7 months compared to 16.6 months with osimertinib monotherapy (HR 0.70; 95% CI 0.58–0.85; p < 0.001), and improved survival outcomes with a 3-year OS of 60% and 51% (HR 0.75; 95% CI 0.51–0.92; p = 0.005) in previously untreated patients, respectively [ 11 ]. MARIPOSA ultimately established amivantamab plus lazertinib as the new standard of care for frontline therapy for advanced-stage EGFR-mutated (exon 19 deletion or exon 21 L858R substitutions) NSCLC. Notably, amivantamab plus lazertinib was associated with a higher incidence of grade ≥3 adverse events than Osimertinib (75% vs. 43%), whereas treatment discontinuation due to treatment-related adverse events was similar between the two groups (10% vs. 10%) [ 12 ]. Amivantamab plus lazertinib caused higher rates of paronychia, rashes, infusion reactions, venous thromboembolic events, and transaminitis; however, enhanced prophylactic strategies including antibiotics, skin moisturizers, anticoagulation, and steroids have helped to reduce these adverse events [ 11 ].
The phase III MARIPOSA-2 trial compared amivantamab-lazertinib-chemotherapy, amivantamab-chemotherapy, or chemotherapy alone in EGFR-mutated (exon 19 deletion or exon 21 L858R substitutions) advanced-stage or metastatic NSCLC patients who had progressed on osimertinib [ 91 ]. Amivantamab-chemotherapy and amivantamab-lazertinib-chemotherapy both significantly improved PFS (6.3 months and 8.3 months, respectively) (HR 0.48 and 0.44, respectively; p < 0.001) and ORR (64% and 63%) compared with chemotherapy, which had a PFS of 4.2 months and an ORR of 36% [ 91 ]. Amivantamab-chemotherapy and amivantamab-lazertinib-chemotherapy showed significantly improved intracranial PFS (12.5 months and 12.8 months, respectively) compared with 8.3 months of chemotherapy. Although amivantamab-lazertinib-chemotherapy demonstrated a modestly higher PFS of 2 months compared to amivantamab-chemotherapy, the triple regimen had considerably greater toxicity with grade ≥ 3 adverse events (92% vs. 72%) and serious treatment-emergent adverse events (52% vs. 32%) [ 92 ]. This established the doublet regimen with amivantamab-chemotherapy without lazertinib as the preferred second-line treatment in this patient population due to lower toxicities and similar efficacy [ 92 ].
3.3.2. HER2/HER3 Bispecific
Neuregulin 1 (NRG1) gene fusions are rare oncogenic driver alterations, occurring in ~0.2% of solid tumors, including NSCLC, that bind to human epidermal growth factor receptor 3 (HER3), generating a HER2-HER3 heterodimerization and subsequently triggering uncontrolled cell proliferation and growth [ 93 ]. Zenocutuzumab is a bispecific antibody that targets HER2 and HER3, blocking the NRG1-fusion-protein-mediated HER2-HER3 dimerization halting downstream oncogenic signaling [ 38 , 39 ]. In the phase II eNRGy trial, zenocutuzumab demonstrated an ORR of 29% (95% CI 20–39), ORR of 28% in previously treated patients (95% CI 19–39), median duration of response of 12.7 months (95% CI 7.4–20.4), and median PFS of 6.8 months (95% CI 5.3–7.5) in patients with NRG1 fusion-positive advanced-stage NSCLC [ 59 ]. The most common adverse events were diarrhea, fatigue, nausea, and infusion-related reactions; however, most of the adverse events were grade 1 or 2 [ 94 ]. The results of eNRGy accelerated and established zenocutuzumab as the first FDA-approved bispecific antibody for advanced-stage NRG1 fusion-positive NSCLC after prior lines of systemic therapy [ 59 ].
3.3.3. Other Novel Constructs
There are several ongoing studies evaluating bispecific antibodies beyond the current approved therapies for advanced-stage NSCLC, including PD-1/VEGFR, PD-1/CTLA4, EGFR/MET, and EGFR/HER3 [ 94 , 95 , 96 ]. Further investigations are needed to determine the definitive efficacy of these agents.
3.4. Immune Checkpoint Inhibitors in Oncogene-Driven NSCLC: Current Limitations and Emerging Targets
While immune checkpoint inhibitors (ICIs) targeting PD-1/PD-L1 have transformed the treatment of advanced NSCLC without actionable driver alterations, their role in oncogene-driven NSCLC remains limited. The IMMUNOTARGET registry, a multicenter retrospective study of 551 patients with oncogene-driven NSCLC treated with ICI monotherapy, demonstrated notably low objective response rates across most driver subtypes: EGFR 12%, HER2 7%, RET 6%, and ALK 0%, compared with 26% for KRAS-mutant tumors [ 7 ]. Median PFS on ICI monotherapy was only 2.1 months for EGFR-mutant and 2.5 months for ALK-rearranged NSCLC [ 7 ]. These findings are consistent with the biological characteristics of oncogene-driven tumors, which typically exhibit lower tumor mutational burden (TMB), lower PD-L1 expression, higher intratumoral heterogeneity, and a suppressed immune microenvironment with fewer infiltrating M1 macrophages and CD4+ T cells compared to wild-type tumors [ 97 , 98 ].
Current NCCN guidelines explicitly note that EGFR exon 19 deletion or L858R mutation, and ALK, RET, or ROS1 gene fusions have been shown to be associated with less benefit from PD-1/PD-L1 inhibitors [ 99 ]. Accordingly, first-line ICI-based regimens are contraindicated or not recommended for these molecular subgroups, and patients with these alterations are directed to targeted therapy algorithms [ 99 ]. In the post-TKI setting, the role of ICIs remains uncertain. A systematic review and network meta-analysis of ICI-based strategies in EGFR-mutant NSCLC after TKI progression found that ICI monotherapy showed inadequate efficacy, while ICI plus chemotherapy showed inconsistent results across trials, with some studies (ORIENT-31, KEYNOTE-789) demonstrating PFS improvement and others (CheckMate 722) failing to reach significance [ 100 ]. The addition of anti-angiogenic therapy to ICI-chemotherapy combinations appeared more promising but at the cost of increased toxicity [ 2 , 100 ].
Notably, oncogene-driven subtypes more frequently associated with tobacco exposure, such as KRAS G12C and BRAF V600E mutations, may derive greater benefit from ICIs, and KRAS-mutant NSCLC in particular shows strong ICI activity that supports first-line immunotherapy for this subgroup [ 2 , 7 ].
Beyond PD-1/PD-L1 and CTLA-4, several next-generation immune checkpoint targets are under active investigation in NSCLC. LAG-3 (lymphocyte activation gene-3) is the most clinically advanced, with the anti-LAG-3 antibody relatlimab approved in combination with nivolumab for melanoma and now being evaluated in NSCLC [ 101 , 102 ]. TIM-3 (T-cell immunoglobulin and mucin-domain containing-3) promotes T-cell exhaustion through interactions with galectin-9, CEACAM1, and HMGB1; anti-TIM-3 agents including sabatolimab and cobolimab are in phase II–III trials across multiple malignancies including NSCLC [ 101 , 103 ]. TIGIT (T-cell immunoreceptor with immunoglobulin and ITIM domains) suppresses T-cell and NK-cell cytotoxicity through CD155 binding, and agents such as tiragolumab are being evaluated in phase 3 NSCLC trials, though initial results have been mixed [ 101 , 103 ]. VISTA (V-domain Ig suppressor of T-cell activation) mediates myeloid-driven T-cell suppression through a PD-1-independent mechanism and is in early phase evaluation [ 101 , 103 ]. B7-H3 (CD276) is overexpressed in NSCLC tumors and is being explored both as an immune checkpoint target and as an ADC target (e.g., DS-7300), representing a potential convergence of checkpoint biology and ADC technology [ 101 , 104 ]. Gene expression profiling of lung adenocarcinoma has revealed heterogeneous patterns of immune checkpoint overexpression, with distinct tumor subsets showing enrichment for different checkpoint combinations, suggesting that biomarker-guided selection of checkpoint targets may be necessary for optimal therapeutic benefit [ 104 ].
The limited efficacy of current ICIs in most oncogene-driven NSCLC subtypes, combined with the emerging landscape of next-generation checkpoint targets, underscores the rationale for the present review’s focus on TKIs, ADCs, and bispecific antibodies as the primary therapeutic modalities for this patient population. However, as novel checkpoint inhibitors and combination strategies mature, their integration into treatment algorithms for oncogene-driven NSCLC—particularly in the post-TKI resistance setting or in combination with targeted agents—warrants continued investigation.
4. Positioning of TKIs vs. ADCs vs. Bispecifics in Treatment Algorithms
4.1. First-Line Therapy
TKIs remain the predominant frontline treatment for most advanced-stage or metastatic NSCLC harboring actionable oncogene-driven alterations. The evolving integration of TKIs, ADCs, and bispecific antibodies within contemporary treatment algorithms is illustrated in Figure 2 . Many studies support frontline use of TKIs given their greater efficacy, favorable tolerability, convenient oral formulations, and higher intracranial response rates compared to chemotherapy [ 105 ]. Historically, HER2-mutated NSCLC first-line treatment was shaped by T-DXd, an ADC; however, this is now being challenged by zongertinib, HER2-TKI, for first-line treatment [ 75 ]. A notable exception to TKI frontline use is KRAS G12C-mutated NSCLC, although further studies are underway evaluating frontline use [ 106 ].
Treatment for metastatic NSCLC is rapidly expanding beyond TKI monotherapy, with evolving strategies to augment TKI backbones with ADCs or bispecific therapy. For example, the amivantamab-lazertinib combination improved PFS and OS compared to osimertinib monotherapy, providing clinical evidence for frontline use of TKI plus bispecific therapy to improve outcomes [ 11 , 12 ]. Current studies are evaluating osimertinib in combination with ADCs, including datopotamab deruxtecan (Dato-DXd) and telisotuzumab vedotin-tllv (Teliso-V), for EGFR-mutated NSCLC with the goal of overcoming resistance mechanisms [ 107 , 108 ]. As further phase III trials are performed and data mature, first-line therapy for advanced-stage oncogenic-driven NSCLC is likely going to shift away from TKI monotherapy to doublet or triplet regimens with TKIs, ADCs, and bispecific antibodies [ 108 ].
4.2. Post-TKI Progression
ADCs and bispecific antibodies have become critical in the post-TKI treatment strategy for NSCLC because they can both overcome intrinsic cellular resistance mechanisms. ADCs are effective at bypassing drug resistance mutations by delivering cytotoxic payloads directly to antigen-expressing tumor cells, ultimately bypassing downstream intracellular signaling resistance patterns [ 40 ]. Bispecific antibodies overcome TKI resistance by simultaneously blocking extracellular dual-receptors causing receptor degradation and immune-mediated cytotoxicity, also bypassing intracellular downstream signaling resistance mutations [ 54 ]. Examples include amivantamab-based combinations and Dato-DXd, both of which have proven to be efficacious for treating post-osimertinib EGFR-mutated NSCLC [ 85 , 91 ].
Amivantamab-based combination therapy has demonstrated robust efficacy in overcoming several osimertinib resistance mechanisms including EGFR-dependent resistance, MET-dependent resistance (MET amplification), EGFR/MET-dependent resistance, and unknown resistance patterns [ 109 ]. At the time of progression, it is essential to obtain biomarker testing to evaluate resistance mechanisms and guide next-line treatment. Selection of subsequent therapy increasingly depends on resistance profiling, target antigen expression, and pathway dependence, as summarized in Figure 2 .
4.3. Tumor Heterogeneity and Mixed Resistance Patterns
Tumor heterogeneity represents intrinsic genomic diversity within a single tumor, which can pose challenges in next-line treatment decisions due to coexisting driver mutations, differing antigen expression, and resistance mechanisms driving oncogenesis [ 110 ]. Within a single tumor, multiple oncogenic driver alterations can accumulate, and a biopsy of only a portion of a tumor may not represent the full genomic diversity [ 110 ]. ADCs have shown effectiveness in tumor heterogeneity because the bystander effect allows for cytotoxic payloads to be delivered to adjacent cells regardless of their antigen expression [ 30 ]. Bispecific antibodies are able to overcome tumor heterogeneity by engaging dual-extracellular receptors concurrently to target two separate oncogenic intracellular signaling pathways to overcome mutations and bypass pathways; however, this typically requires surface receptor expression on tumor cells [ 111 ]. Rechallenging with TKIs also remains a viable strategy that can be used to overcome tumor heterogeneity using the available guidance of circulating tumor DNA (ctDNA) analysis for molecular responses to overcome resistance patterns [ 112 ].
4.4. Central Nervous System (CNS) Disease Management
Brain metastases can occur in up to 50% of patients with advanced-stage NSCLC, with about 20% occurring at initial diagnosis, and are a major cause of morbidity and mortality [ 16 , 113 ]. Targeted TKIs have transformed the treatment paradigms for CNS involvement of NSCLC with oncogene-driven alterations, reforming them into upfront and effective therapies for CNS management. Next-generation TKIs achieve improved blood–brain barrier penetration, higher intracranial response rates, and longer PFS in comparison to conventional chemotherapy and earlier-generation TKIs [ 16 , 114 ]. For example, in ALK-positive NSCLC, lorlatinib demonstrated impressive CNS penetrance with an intracranial ORR of 82% and complete intracranial response rate of 71% in the CROWN trial [ 68 ]. Both ADC and bispecific antibodies have also shown intracranial response rates in advanced-stage NSCLC; however, the response rates are modest compared to next-generation TKIs [ 11 , 47 ].
Figure 2 summarizes a proposed framework for biomarker-guided sequencing and integration of TKIs, ADCs, and bispecific antibodies across the disease course of oncogene-driven NSCLC.
5. Toxicity Profiles and Quality-of-Life Considerations
Tyrosine kinase inhibitors (TKIs), antibody–drug conjugates (ADCs), and bispecific antibodies (bsAbs) each have distinct toxicity profiles that influence treatment selection, dose modifications, and patient quality of life.
5.1. Tyrosine Kinase Inhibitors Toxicities
EGFR-directed TKIs produce a well-characterized constellation of dermatologic and gastrointestinal adverse events. In the phase III FLAURA trial, osimertinib was associated with rash (58%), diarrhea (58%), and dry skin (36%), although grade ≥ 3 events were less frequent than with first-generation comparators (34% vs. 45%) [ 62 ]. QTc interval prolongation is a class-relevant concern: osimertinib demonstrates a concentration-dependent QTcF prolongation of approximately 16 msec at steady state, with 10% of patients experiencing prolonged QT interval as an adverse event [ 115 ]. A WHO pharmacovigilance analysis confirmed that osimertinib carries a significantly elevated reporting odds ratio for QT prolongation (ROR 6.13), heart failure (ROR 3.64), and supraventricular tachycardia relative to other EGFR TKIs [ 116 ]. ALK and ROS1 inhibitors as a class are associated with higher odds of conduction disease (ROR 12.95) and QT prolongation (ROR 5.16) compared with EGFR and BRAF inhibitors, with crizotinib carrying the highest individual risk [ 116 ]. FAERS network analysis further delineates class-specific signatures: ALK TKIs are enriched for metabolic and laboratory abnormalities (dyslipidemia with lorlatinib, creatine kinase elevation with brigatinib), while RET TKIs are associated with hepatotoxicity and hypertension [ 117 ]. These toxicities are generally manageable with oral administration, preserving patient autonomy and quality of life.
5.2. Antibody–Drug Conjugates Toxicities
Interstitial lung disease (ILD)/pneumonitis represents the most clinically consequential toxicity of ADCs, particularly those carrying topoisomerase I inhibitor payloads. A meta-analysis of trastuzumab deruxtecan (T-DXd) clinical trials reported an all-grade ILD/pneumonitis incidence of 12.5%, with grade ≥ 3 events in 2.2% [ 118 ]. A pooled analysis across nine DESTINY studies (n = 1678) confirmed adjudicated drug-related ILD in approximately 11–12% of patients, with the majority being grade 1–2 [ 119 ]. Notably, ILD incidence is highest in patients with non-small-cell lung cancer (22.2%) [ 48 ]. Mechanistic studies implicate off-target Fc-FcγR–mediated uptake of T-DXd by perivascular alveolar macrophages, triggering a pro-inflammatory SPP1-high phenotype [ 120 ]. In contrast, sacituzumab govitecan (TROP2-directed) does not exhibit a significant ILD signal in pharmacovigilance analyses, likely reflecting differences in payload (SN-38 vs. deruxtecan), linker chemistry, and drug/antibody ratio [ 121 ]. Beyond ILD, ADCs produce substantial gastrointestinal toxicity (nausea in 65–75%, vomiting) and hematologic effects (neutropenia in 35–49%), which frequently necessitate dose modifications [ 119 ]. These cumulative toxicities, combined with intravenous administration every three weeks, impose a meaningful burden on the patient’s quality of life.
5.3. Bispecific Antibodies Toxicities
Amivantamab, an EGFR-MET bispecific antibody, exemplifies the unique toxicity profile of this class. Infusion-related reactions (IRRs) are the hallmark of early toxicity, occurring in 63–67% of patients receiving intravenous formulations, predominantly during cycle 1 day 1 [ 12 , 122 ]. Most IRRs are grade 1–2 and rarely recur with subsequent infusions; prophylactic oral dexamethasone (8 mg twice daily) reduces IRR incidence approximately threefold [ 123 ]. Dermatologic toxicities driven by EGFR inhibition, such as acneiform rash (62%), paronychia (68%), and MET-mediated peripheral edema and hypoalbuminemia, are highly prevalent and, while generally low-grade, significantly affect quality of life [ 5 ] . In the MARIPOSA trial, grade ≥ 3 adverse events occurred in 75% of patients receiving amivantamab-lazertinib versus 43% with osimertinib, with skin/nail toxicity, venous thromboembolism (37%), and infusion reactions each requiring distinct prophylactic measures [ 5 , 12 ]. The subcutaneous formulation of amivantamab substantially reduces IRR rates (13% vs. 66%) and administration time (5 min vs. up to 5 h), representing a meaningful improvement in treatment experience [ 11 ]. Proactive dermatologic management with the COCOON regimen has also significantly reduced grade ≥ 2 cutaneous events [ 11 ].
6. Mechanisms of Resistance Across Modalities
Discussed below is the Mechanism of Resistance across all three classes of drugs. Table 2 explains this further.
6.1. Tyrosine Kinase Inhibitors Mechanism of Resistance
Resistance to TKIs is broadly categorized into on-target (kinase domain) and off-target (bypass) mechanisms. For EGFR TKIs, the T790M gatekeeper mutation accounts for approximately 50–60% of resistance to first- and second-generation agents, while the C797S mutation is the predominant on-target mechanism following osimertinib [ 9 , 124 ]. Off-target bypass signaling, including MET amplification, HER2 amplification, KRAS mutations, BRAF fusions, and PIK3CA alterations, collectively accounts for a substantial proportion of post-osimertinib resistance [ 124 , 125 ]. Phenotypic transformation to small cell lung cancer or epithelial-mesenchymal transition represents an additional EGFR-independent escape mechanism [ 9 , 126 ]. For ALK-rearranged NSCLC, compound ALK kinase domain mutations (e.g., G1202R) confer resistance to second-generation inhibitors, while resistance to the third-generation agent lorlatinib involves compound mutations or bypass activation through similar pathways [ 9 ]. NCCN guidelines recommend molecular profiling at progression, including parallel circulating tumor DNA and tissue-based testing, to identify actionable resistance mechanisms and guide subsequent therapy [ 127 ].
6.2. Antibody–Drug Conjugates Mechanism of Resistance
ADC resistance is multifactorial, reflecting the tripartite structure of these agents. Target antigen loss or downregulation, demonstrated for HER2 in the DAISY trial and for TROP2 in preclinical models, reduces antibody binding and internalization [ 128 , 129 ]. Impaired intracellular trafficking, including defective endosomal-lysosomal processing and altered antibody recycling, limits payload release [ 130 , 131 ]. Upregulation of ATP-binding cassette (ABC) drug efflux transporters, particularly ABCG2 and ABCB1 (MDR1), directly reduces intracellular payload concentration; siRNA-mediated knockdown of these transporters restores T-DXd sensitivity in resistant models [ 132 ]. Payload-specific resistance through alterations in topoisomerase I (for deruxtecan-based ADCs) or tubulin dynamics (for DM1/MMAE payloads) further limits efficacy [ 129 , 131 ]. Strategies to overcome ADC resistance include switching to ADCs with alternative payloads (e.g., eribulin-based BB-1701 in T-DXd–resistant models), bispecific ADC designs, and combination with immune checkpoint inhibitors to leverage ADC-induced immunogenic cell death [ 132 , 133 ].
6.3. Bispecific Antibodies Mechanism of Resistance
Resistance to T-cell–engaging bispecific antibodies involves both tumor-intrinsic and immune-mediated mechanisms. Antigen escape through biallelic deletion, point mutations, or epigenetic silencing of target genes (e.g., BCMA, GPRC5D, CD19) is a well-documented tumor-intrinsic driver, with convergent evolution of antigen-negative subclones observed in multiple myeloma [ 134 , 135 ]. Loss of major histocompatibility complex class I expression impairs TCR co-stimulatory signaling required for optimal T-cell–mediated killing [ 135 ]. Tumor-extrinsic resistance is driven by T-cell exhaustion from chronic bispecific-mediated activation, characterized by upregulation of PD-1, TIGIT, and TIM-3, with reduced proliferative capacity and cytokine secretion [ 136 ]. The immunosuppressive tumor microenvironment—including regulatory T cells, myeloid-derived suppressor cells, and inhibitory cytokines—further impairs bispecific antibody efficacy [ 137 , 138 ]. For amivantamab specifically, resistance in solid tumors may involve EGFR or MET pathway alterations analogous to TKI resistance, though dedicated resistance profiling data remain limited. Combination strategies incorporating immunomodulatory agents, proteasome inhibitors (which upregulate death receptor expression), or sequential targeting of alternative antigens represent emerging approaches to overcome bispecific antibody resistance [ 135 , 137 ].
6.4. Cross-Resistance Considerations
When sequencing therapies across modalities, cross-resistance potential must be considered. TKI-induced bypass signaling (e.g., MET amplification) may reduce the efficacy of subsequent MET-targeting bispecifics. Conversely, antigen downregulation following ADC therapy could limit the activity of bispecific antibodies targeting the same antigen. Payload resistance mechanisms (e.g., topoisomerase I resistance) may cross-react with chemotherapy backbones used in combination regimens [ 124 , 133 ]. Molecular profiling at each progression point remains essential for rational therapy sequencing.
7. Future Directions
The future directions in lung cancer treatment include antibody–drug conjugates, trispecific antibodies and combination treatments. Antibody–drug conjugates (ADCs) are novel therapeutic targets in the treatment of lung cancer that targets tumor-specific antigens including TROP-2, HER-2, and HER-3. ADCs use linker-payload systems that enhance targeted treatment while reducing off-targeted side effects due to high selectivity [ 139 ]. Trispecific antibodies are considered the next-generation immunologic precision agents that can selectively target multiple tumor antigens and immune pathways (e.g., checkpoint modulation, dual T-cell activation) with increased specificity and increased antitumor activity compared to existing approaches [ 140 ]. Trispecific antibodies have been widely used in hematologic malignancies previously but are being investigated in solid malignancies such as lung cancer. Lung cancer management that encompasses combination treatments allows for synergistic treatment modalities with a decreased risk for resistance and increased response rate. For example, in EGFR-mutant NSCLC, combining a third-generation TKI such as lazertinib with a bispecific antibody such as amivantamab allows for a complementary antitumor activity by modulating extracellular receptor pathways and inhibiting intracellular kinase signaling with increased overall response in comparison to monotherapy with TKI alone [ 141 ]. Other potential treatment combinations still being investigated in early phase/clinical trials include TKI with ADCs and ADCs with bispecific antibodies, which may overcome resistance pathways, improve effectiveness, and improve patient outcomes in comparison to monotherapy alone.
Monitoring using longitudinal ctDNA allows for real-time assessment of the patient’s tumor status and treatment response earlier than other surveillance modalities, such as imaging. Detecting signs of progression or inadequate response to treatment may improve overall survival and progression-free survival in patients [ 142 ]. Longitudinal molecular profiling such as ctDNA and NGS testing allows for recognition of specific targets or resistance patterns which enables personalized and tailored treatments for patients with lung cancer [ 143 ]. Thus, it is important to use molecular profiling with NGS testing at the first sign of progression to guide the optimal treatment.
8. Conclusions
TKIs are currently the basis of first-line, targeted treatment for patients with NSCLC, especially in those that have actionable mutations such as EGFR, ALK, and others due to increased progression-free survival and overall survival [ 144 ]. ADCs and bispecific antibodies are changing the salvage and resistance-directed treatments enabling targeted delivery and dual inhibition of pathways after progression on other treatment modalities. Targeted agents such as TROP-2- and HER-3-directed ADCs and MET bispecific antibodies allow for increased response rates in heavily treated patients, especially in those with resistance [ 145 , 146 , 147 ]. Based on emerging evidence, these modalities will coexist while offering distinct advantages. In the future, the optimal treatment will likely involve combination treatments using all three drug class lines after utilizing precision-guided treatment using molecular biomarkers to help guide treatment sequencing.
Acknowledgments
All authors have reviewed and consented to the acknowledgments. No additional individuals beyond the listed authors contributed to this work.
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Author Contributions
Conceptualization, S.M.U.D. and L.E.R.; methodology, S.M.U.D.; investigation, S.M.U.D., A.K. and S.A.; resources, M.M.M.; data curation, S.M.U.D., A.K. and S.A.; writing—original draft preparation, S.M.U.D.; writing—review and editing, S.M.U.D., A.K., S.A. and M.M.M.; visualization, S.M.U.D.; supervision, M.M.M.; project administration, S.M.U.D. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript: ABC ATP-Binding Cassette (transporter family) ABCB1 ATP-Binding Cassette Subfamily B Member 1 (MDR1/P-glycoprotein) ABCG2 ATP-Binding Cassette Subfamily G Member 2 (BCRP) ADC Antibody–Drug Conjugate ADCC Antibody-Dependent Cellular Cytotoxicity ADCP Antibody-Dependent Cellular Phagocytosis ADCT Antibody-Dependent Cellular Trogocytosis ALK Anaplastic Lymphoma Kinase ASCO American Society of Clinical Oncology ATP Adenosine Triphosphate B7-H3 B7 Homolog 3 (CD276) BBB Blood–Brain Barrier bsAb Bispecific Antibody BCRP Breast Cancer Resistance Protein c-MET Mesenchymal–Epithelial Transition Receptor CNS Central Nervous System ctDNA Circulating Tumor DNA CTLA-4 Cytotoxic T-Lymphocyte Associated Protein 4 DAR Drug-to-Antibody Ratio DXd Deruxtecan Payload EGFR Epidermal Growth Factor Receptor ERBB2 Erb-B2 Receptor Tyrosine Kinase 2 (HER2) HER2 Human Epidermal Growth Factor Receptor 2 HER3 Human Epidermal Growth Factor Receptor 3 ICIs Immune Checkpoint Inhibitors ILD Interstitial Lung Disease LAG-3 Lymphocyte Activation Gene 3 MAPK Mitogen-Activated Protein Kinase METex14 MET Exon 14 Skipping Mutation MGPT Multigene Panel Testing MMAE Monomethyl Auristatin E NCCN National Comprehensive Cancer Network NGS Next-Generation Sequencing NRG1 Neuregulin 1 NSCLC Non-Small-Cell Lung Cancer ORR Objective Response Rate OS Overall Survival PD-1 Programmed Cell Death Protein 1 PD-L1 Programmed Death-Ligand 1 PFS Progression-Free Survival PI3K Phosphoinositide 3-Kinase RET Rearranged During Transfection ROR Reporting Odds Ratio ROS1 ROS Proto-Oncogene 1 TIM-3 T-cell Immunoglobulin and Mucin Domain-containing Protein 3 TIGIT T-cell Immunoreceptor with Ig and ITIM Domains TMB Tumor Mutational Burden T-DM1 Ado-Trastuzumab Emtansine T-DXd Trastuzumab Deruxtecan TKI Tyrosine Kinase Inhibitor TME Tumor Microenvironment TROP2 Trophoblast Cell Surface Antigen 2 VEGFR Vascular Endothelial Growth Factor Receptor VISTA V-domain Ig Suppressor of T-cell Activation VTE Venous Thromboembolism
References
1. Cameron L.B. Hitchen N. Chandran E. Morris T. Manser R. Solomon B.J. Jordan V. Targeted therapy for advanced anaplastic lymphoma kinase ALK-rearranged non-small cell lung cancer Cochrane Database Syst. Rev. 2022 1 CD013453 10.1002/14651858.CD013453.pub2 34994987 PMC8740884
2. Meyer M.L. Fitzgerald B.G. Paz-Ares L. Cappuzzo F. Janne P.A. Peters S. Hirsch F.R. New promises and challenges in the treatment of advanced non-small-cell lung cancer Lancet 2024 404 803 822 10.1016/S0140-6736(24)01029-8 39121882
3. Deng L. Li J. Qiu Z. Wang Y. Driver gene alterations in NSCLC patients in southern China and their correlation with clinicopathologic characteristics Front. Genet. 2024 15 1455502 Erratum in Front. Genet. 2026 , 17 , 1794164. https://doi.org/10.3389/fgene.2026.1794164 10.3389/fgene.2024.1455502 39364008 PMC11446855
4. Jamalinia M. Weiskirchen R. Advances in personalized medicine: Translating genomic insights into targeted therapies for cancer treatment Ann. Transl. Med. 2025 13 18 10.21037/atm-25-34 40438512 PMC12106117
5. Puri S. Leighl N.B. Ismaila N. Rous F.A. Ahluwalia A. Alluri K. Azar I.H. Campbell T. Durm G. Feldman J. Therapy for Stage IV Non-Small Cell Lung Cancer with Driver Alterations: ASCO Living Guideline, 2026.3.0 J. Clin. Oncol. 2026 44 e15 e55 10.1200/jco-26-00843 41632926
6. Thai A.A. Solomon B.J. Sequist L.V. Gainor J.F. Heist R.S. Lung cancer Lancet 2021 398 535 554 10.1016/S0140-6736(21)00312-3 34273294
7. Mazieres J. Drilon A. Lusque A. Mhanna L. Cortot A.B. Mezquita L. Thai A.A. Mascaux C. Couraud S. Veillon R. Immune checkpoint inhibitors for patients with advanced lung cancer and oncogenic driver alterations: Results from the IMMUNOTARGET registry Ann. Oncol. 2019 30 1321 1328 10.1093/annonc/mdz167 31125062 PMC7389252
8. Lamberti G. Andrini E. Sisi M. Rizzo A. Parisi C. Di Federico A. Gelsomino F. Ardizzoni A. Beyond EGFR, ALK and ROS1: Current evidence and future perspectives on newly targetable oncogenic drivers in lung adenocarcinoma Crit. Rev. Oncol. Hematol. 2020 156 103119 10.1016/j.critrevonc.2020.103119 33053439
9. Cooper A.J. Sequist L.V. Lin J.J. Third-generation EGFR and ALK inhibitors: Mechanisms of resistance and management Nat. Rev. Clin. Oncol. 2022 19 499 514 Erratum in Nat. Rev. Clin. Oncol. 2022 , 19 , 744. https://doi.org/10.1038/s41571-022-00680-8 10.1038/s41571-022-00639-9 35534623 PMC9621058
10. Tan W.L. Jain A. Takano A. Newell E.W. Iyer N.G. Lim W.T. Tan E.H. Zhai W. Hillmer A.M. Tam W.L. Novel therapeutic targets on the horizon for lung cancer Lancet Oncol. 2016 17 e347 e362 10.1016/S1470-2045(16)30123-1 27511159
11. Yang J.C. Lu S. Hayashi H. Felip E. Spira A.I. Girard N. Kim Y.J. Lee S.H. Ostapenko Y. Danchaivijitr P. Overall Survival with Amivantamab-Lazertinib in EGFR-Mutated Advanced NSCLC N. Engl. J. Med. 2025 393 1681 1693 10.1056/NEJMoa2503001 40923797
12. Cho B.C. Lu S. Felip E. Spira A.I. Girard N. Lee J.S. Lee S.H. Ostapenko Y. Danchaivijitr P. Liu B. Amivantamab plus Lazertinib in Previously Untreated EGFR-Mutated Advanced NSCLC N. Engl. J. Med. 2024 391 1486 1498 10.1056/NEJMoa2403614 38924756
13. Liu X. Deng J. Zhang R. Xing J. Wu Y. Chen W. Liang B. Xing D. Xu J. Zhang M. The clinical development of antibody-drug conjugates for non-small cell lung cancer therapy Front. Immunol. 2023 14 1335252 10.3389/fimmu.2023.1335252 38162667 PMC10755013
14. Tian Z. Cen L. Wei F. Dong J. Huang Y. Han Y. Wang Z. Deng J. Jiang Y. EGFR mutations in non-small cell lung cancer: Classification, characteristics and resistance to third-generation EGFR-tyrosine kinase inhibitors (Review) Oncol. Lett. 2025 30 375 10.3892/ol.2025.15121 40503037 PMC12150204
15. Li D. Song Z. Dong B. Song W. Cheng C. Zhang Y. Zhang W. Advances in targeted therapy in non-small cell lung cancer with actionable mutations and leptomeningeal metastasis J. Clin. Pharm. Ther. 2022 47 24 32 10.1111/jcpt.13489 34309914
16. Malhotra J. Mambetsariev I. Gilmore G. Fricke J. Nam A. Gallego N. Chen B.T. Chen M. Amini A. Lukas R.V. Targeting CNS Metastases in Non-Small Cell Lung Cancer with Evolving Approaches Using Molecular Markers: A Review JAMA Oncol. 2025 11 60 69 10.1001/jamaoncol.2024.5218 39602134
17. Shah M.P. Neal J.W. Targeting Acquired and Intrinsic Resistance Mechanisms in Epidermal Growth Factor Receptor Mutant Non-Small-Cell Lung Cancer Drugs 2022 82 649 662 10.1007/s40265-022-01698-z 35412115
18. Dong R.F. Zhu M.L. Liu M.M. Xu Y.T. Yuan L.L. Bian J. Xia Y.Z. Kong L.Y. EGFR mutation mediates resistance to EGFR tyrosine kinase inhibitors in NSCLC: From molecular mechanisms to clinical research Pharmacol. Res. 2021 167 105583 10.1016/j.phrs.2021.105583 33775864
19. Yang Z. Yang N. Ou Q. Xiang Y. Jiang T. Wu X. Bao H. Tong X. Wang X. Shao Y.W. Investigating Novel Resistance Mechanisms to Third-Generation EGFR Tyrosine Kinase Inhibitor Osimertinib in Non-Small Cell Lung Cancer Patients Clin. Cancer Res. 2018 24 3097 3107 10.1158/1078-0432.CCR-17-2310 29506987
20. Kondrashov A. Sapkota S. Sharma A. Riano I. Kurzrock R. Adashek J.J. Antibody-Drug Conjugates in Solid Tumor Oncology: An Effectiveness Payday with a Targeted Payload Pharmaceutics 2023 15 2160 10.3390/pharmaceutics15082160 37631374 PMC10459723
21. Birrer M.J. Moore K.N. Betella I. Bates R.C. Antibody-Drug Conjugate-Based Therapeutics: State of the Science J. Natl. Cancer Inst. 2019 111 538 549 10.1093/jnci/djz035 30859213
22. Chau C.H. Steeg P.S. Figg W.D. Antibody-drug conjugates for cancer Lancet 2019 394 793 804 10.1016/S0140-6736(19)31774-X 31478503
23. Yao X. Lu Y. Shi S. Wang Y. Antibody-drug conjugates (ADCs): “Smart Missiles” targeting cancer therapy Colloids Surf. B Biointerfaces 2026 257 115161 10.1016/j.colsurfb.2025.115161 41015828
24. Geraud A. Gougis P. de Nonneville A. Beaufils M. Bertucci F. Billon E. Brisou G. Gravis G. Greillier L. Guerin M. Pharmacology and pharmacokinetics of antibody-drug conjugates, where do we stand? Cancer Treat. Rev. 2025 135 102922 10.1016/j.ctrv.2025.102922 40157134
25. Lei Y. Zheng M. Chen P. Seng Ng C. Peng Loh T. Liu H. Linker Design for the Antibody Drug Conjugates: A Comprehensive Review ChemMedChem 2025 20 e202500262 10.1002/cmdc.202500262 40432256
26. Staudacher A.H. Brown M.P. Antibody drug conjugates and bystander killing: Is antigen-dependent internalisation required? Br. J. Cancer 2017 117 1736 1742 10.1038/bjc.2017.367 29065110 PMC5729478
27. Li B.T. Smit E.F. Goto Y. Nakagawa K. Udagawa H. Mazieres J. Nagasaka M. Bazhenova L. Saltos A.N. Felip E. Trastuzumab Deruxtecan in HER2-Mutant Non-Small-Cell Lung Cancer N. Engl. J. Med. 2022 386 241 251 10.1056/NEJMoa2112431 34534430 PMC9066448
28. Xie H. Wang X. Zhang P. Li Q. Chen J. Innovations in HER2-targeted therapy: A comprehensive review of trastuzumab deruxtecan Biochim. Biophys. Acta Rev. Cancer 2026 1881 189550 10.1016/j.bbcan.2026.189550 41643946
29. Jalali P. Saeed A. Taher S. Saeed A. Trastuzumab deruxtecan: Redefining precision oncology across HER2-driven cancers Crit. Rev. Oncol. Hematol. 2026 217 105019 10.1016/j.critrevonc.2025.105019 41274532
30. Wang Y. Cheng X. Li X. Chen W. Zhang X. Liu Y. Bystander effect in antibody-drug conjugates: Navigating the fine line in tumor heterogeneity Crit. Rev. Oncol. Hematol. 2025 216 104979 10.1016/j.critrevonc.2025.104979 41061840
31. Prat A. Bardia A. Curigliano G. Hammond M.E.H. Loibl S. Tolaney S.M. Viale G. An Overview of Clinical Development of Agents for Metastatic or Advanced Breast Cancer Without ERBB2 Amplification (HER2-Low) JAMA Oncol. 2022 8 1676 1687 10.1001/jamaoncol.2022.4175 36107417
32. Thomas A. Teicher B.A. Hassan R. Antibody-drug conjugates for cancer therapy Lancet Oncol. 2016 17 e254 e262 10.1016/s1470-2045(16)30030-4 27299281 PMC6601617
33. D’Arienzo A. Verrazzo A. Pagliuca M. Napolitano F. Parola S. Viggiani M. Caputo R. Puglisi F. Giuliano M. Del Mastro L. Toxicity profile of antibody-drug conjugates in breast cancer: Practical considerations eClinicalMedicine 2023 62 102113 10.1016/j.eclinm.2023.102113 37554126 PMC10404866
34. Zhang S. Ye C. Zhu J. Wang M. Xu Y. A real-world study of adverse event profiles associated with the four key components of antibody-drug conjugates based on the FAERS database Front. Pharmacol. 2026 17 1702195 10.3389/fphar.2026.1702195 41769696 PMC12946140
35. Lei L. Zheng Y.B. Tang S.C. Antibody-drug conjugates in cancer therapy: Do we need biomarkers? A comprehensive review Cancer Metastasis Rev. 2026 45 36 10.1007/s10555-026-10344-z 42185658 PMC13201299
36. Tan H.N. Morcillo M.A. Lopez J. Minchom A. Sharp A. Paschalis A. Silva-Fortes G. Raobaikady B. Banerji U. Treatment-related adverse events of antibody drug-conjugates in clinical trials J. Hematol. Oncol. 2025 18 71 10.1186/s13045-025-01720-3 40611310 PMC12231679
37. Ghidini A. Bukovec R. Roncari L. Dottorini L. Petrelli F. Trastuzumab deruxtecan in non-breast solid tumors: Expanding indications, efficacy, and future directions Crit. Rev. Oncol. Hematol. 2026 220 105158 10.1016/j.critrevonc.2026.105158 41611186
38. Alhushki S. Real-world pharmacovigilance analysis for antibody drug conjugates (ADCs) in treatment of solid tumor malignancies J. Clin. Oncol. 2026 44 e20503 10.1200/jco.2026.44.16_suppl.e20503
39. Gallina M. Carollo A. Gallina A. Cutaia S. Rizzo S. Provenzani A. Efficacy and Safety of Antibody-Drug Conjugates for Lung Cancer Therapy: A Systematic Review of Randomized and Non-Randomized Clinical Trials Pharmaceutics 2025 17 608 10.3390/pharmaceutics17050608 40430899 PMC12114828
40. Deng S. Sun C. Liu D. Zhang Y. Zhang J. Li X. Jia X. Kai G. Antibody-drug conjugates: A new twist to overcome EGFR-TKIs resistance in non-small cell lung cancer Pharmacol. Res. 2026 223 108066 10.1016/j.phrs.2025.108066 41391577
41. Syal A. Meyer M.L. Angelino K. Osei N. Gomez J.E. Sen T. Hirsch F.R. Antibody drugs conjugates in non-small cell lung cancer: Current status and challenges Oncologist 2025 30 oyaf331 10.1093/oncolo/oyaf331 41052301 PMC12634406
42. Bussing D. Sharma S. Li Z. Meyer L.F. Shah D.K. Quantitative Evaluation of the Effect of Antigen Expression Level on Antibody-Drug Conjugate Exposure in Solid Tumor AAPS J. 2021 23 56 10.1208/s12248-021-00584-y 33856579
43. Sharma S. Li Z. Bussing D. Shah D.K. Evaluation of Quantitative Relationship Between Target Expression and Antibody-Drug Conjugate Exposure Inside Cancer Cells Drug Metab. Dispos. 2020 48 368 377 10.1124/dmd.119.089276 32086295 PMC7153564
44. Mathiot L. Baldini C. Letissier O. Hollebecque A. Bahleda R. Gazzah A. Smolenschi C. Sakkal M. Danlos F.X. Henon C. Exploring the Role of Target Expression in Treatment Efficacy of Antibody-Drug Conjugates (ADCs) in Solid Cancers: A Comprehensive Review Curr. Oncol. Rep. 2024 26 1236 1248 10.1007/s11912-024-01576-9 39066847
45. Janne P.A. Planchard D. Goto K. Smit E.F. de Langen A.J. Goto Y. Ninomiya K. Kubo T. Perol M. Felip E. Trastuzumab Deruxtecan for ERBB2-Mutant Metastatic Non-Small Cell Lung Cancer with or Without Brain Metastases: A Secondary Analysis of Randomized Clinical Trials JAMA Netw. Open 2025 8 e2543107 10.1001/jamanetworkopen.2025.43107 41222935 PMC12612940
46. Fuereder T. Garde-Noguera J. Garcia-Mosquera J.J. Ruiz-Borrego M. Valero M. Llombart-Cussac A. Gion M. Greil R. Arumi M. Campolier M. Patritumab deruxtecan (HER3-DXd) in patients with active brain metastases of non-small-cell lung cancer (TUXEDO-3): A multicentre, single-arm, phase 2 trial Lancet Oncol. 2025 26 1454 1466 10.1016/S1470-2045(25)00465-6 41167214
47. Cheo S.W. Li M.S.C. Huang D.D. Saw S.P.L. Hendriks L.E.L. Remon J. Menis J. Addeo A. Voon P.J. Intracranial activity of antibody-drug conjugates in advanced non-small cell lung cancer: What have we accomplished so far? Cancer Treat. Rev. 2026 143 103083 10.1016/j.ctrv.2025.103083 41483736
48. Zhu Z. Shen G. Li J. Qiu T. Fang Q. Zheng Y. Xin Y. Liu Z. Zhao F. Ren D. Incidence of antibody-drug conjugates-related pneumonitis in patients with solid tumors: A systematic review and meta-analysis Crit. Rev. Oncol. Hematol. 2023 184 103960 10.1016/j.critrevonc.2023.103960 36907365
49. Janne P.A. Goto Y. Kubo T. Ninomiya K. Kim S.W. Planchard D. Ahn M.J. Smit E. de Langen A.J. Perol M. Corrigendum to ‘Final Analysis Results and Patient-Reported Outcomes from DESTINY-Lung02-A Dose-Blinded, Randomized, Phase 2 Study of Trastuzumab Deruxtecan in Patients with HER2-Mutant Metastatic NSCLC’ [Journal of Thoracic On-cology Volume 20 Issue 12 (2025) 1814–1828] J. Thorac. Oncol. 2026 21 103557 10.1016/j.jtho.2026.103557 40749900
50. Desai A. Subbiah V. Roy-Chowdhuri S. Sheshadri A. Deshmukh S. Peters S. Association of Antibody-Drug Conjugate (ADC) Target Expression and Interstitial Lung Disease (ILD) in Non-Small-Cell Lung Cancer (NSCLC): Association or Causation or Neither? Cancers 2024 16 3753 10.3390/cancers16223753 39594708 PMC11591883
51. Wang J.F. Jiang L.L. Wang M.C. Li Y.L. Targeted Therapy-Induced Interstitial Lung Disease in NSCLC: Mechanisms, Clinical Signatures, and a Precision Medicine Roadmap Drug Des. Devel Ther. 2026 20 600434 10.2147/DDDT.S600434 41978697 PMC13070417
52. Neijssen J. Cardoso R.M.F. Chevalier K.M. Wiegman L. Valerius T. Anderson G.M. Moores S.L. Schuurman J. Parren P. Strohl W.R. Discovery of amivantamab (JNJ-61186372), a bispecific antibody targeting EGFR and MET J. Biol. Chem. 2021 296 100641 10.1016/j.jbc.2021.100641 33839159 PMC8113745
53. Petrini I. Giaccone G. Amivantamab in the Treatment of Metastatic NSCLC: Patient Selection and Special Considerations Onco Targets Ther. 2022 15 1197 1210 10.2147/OTT.S329095 36246734 PMC9555392
54. Cho B.C. Simi A. Sabari J. Vijayaraghavan S. Moores S. Spira A. Amivantamab, an Epidermal Growth Factor Receptor (EGFR) and Mesenchymal-epithelial Transition Factor (MET) Bispecific Antibody, Designed to Enable Multiple Mechanisms of Action and Broad Clinical Applications Clin. Lung Cancer 2023 24 89 97 10.1016/j.cllc.2022.11.004 36481319
55. Zhou C. Tang K.J. Cho B.C. Liu B. Paz-Ares L. Cheng S. Kitazono S. Thiagarajan M. Goldman J.W. Sabari J.K. Amivantamab plus Chemotherapy in NSCLC with EGFR Exon 20 Insertions N. Engl. J. Med. 2023 389 2039 2051 10.1056/NEJMoa2306441 37870976
56. Yoshichika R. Mukohara F. Yamada K. Nagasaki J. Watanabe H. Ueda Y. Suzawa K. Shien K. Toyooka S. Ishino T. Immunological effects of amivantamab in EGFR or MET-expressing non-small cell lung cancer Cancer Immunol. Immunother. 2026 75 121 10.1007/s00262-026-04369-0 41874698 PMC13013883
57. Furuya N. EGFR Exon 20 insertions in NSCLC: From biology to amivantamab, optimal treatment strategy and emerging therapeutics Future Oncol. 2025 21 2995 3004 10.1080/14796694.2025.2550927 40844183 PMC12490370
58. Sato S. Yilmaz N. Arai S. Sakai K. Sato H. Murase Y. Ueda T. Koba H. Nanjo S. Tambo Y. MET Enhances Amivantamab Binding to EGFR and Antibody-Dependent Cellular Toxicity Cancer Sci. 2026 117 118 129 10.1111/cas.70228 41206690 PMC12775570
59. Schram A.M. Goto K. Kim D.W. Macarulla T. Hollebecque A. O’Reilly E.M. Ou S.I. Rodon J. Rha S.Y. Nishino K. Efficacy of Zenocutuzumab in NRG1 Fusion-Positive Cancer N. Engl. J. Med. 2025 392 566 576 10.1056/NEJMoa2405008 39908431 PMC11878197
60. Chen X. Zhou C. Antibody-drug conjugates in lung cancer: Current landscape and future perspectives Curr. Opin. Oncol. 2026 38 71 82 10.1097/CCO.0000000000001200 41222552
61. Marin-Acevedo J.A. Pellini B. Kimbrough E.O. Hicks J.K. Chiappori A. Treatment Strategies for Non-Small Cell Lung Cancer with Common EGFR Mutations: A Review of the History of EGFR TKIs Approval and Emerging Data Cancers 2023 15 629 10.3390/cancers15030629 36765587 PMC9913773
62. Soria J.C. Ohe Y. Vansteenkiste J. Reungwetwattana T. Chewaskulyong B. Lee K.H. Dechaphunkul A. Imamura F. Nogami N. Kurata T. Osimertinib in Untreated EGFR-Mutated Advanced Non-Small-Cell Lung Cancer N. Engl. J. Med. 2018 378 113 125 10.1056/NEJMoa1713137 29151359
63. Janne P.A. Planchard D. Kobayashi K. Yang J.C. Liu Y. Valdiviezo N. Kim T.M. Jiang L. Kagamu H. Yanagitani N. Survival with Osimertinib plus Chemotherapy in EGFR-Mutated Advanced NSCLC N. Engl. J. Med. 2026 394 27 38 10.1056/NEJMoa2510308 41104938
64. Parvaresh H. Roozitalab G. Golandam F. Behzadi P. Jabbarzadeh Kaboli P. Unraveling the Potential of ALK-Targeted Therapies in Non-Small Cell Lung Cancer: Comprehensive Insights and Future Directions Biomedicines 2024 12 297 10.3390/biomedicines12020297 38397899 PMC10887432
65. Mok T. Camidge D.R. Gadgeel S.M. Rosell R. Dziadziuszko R. Kim D.W. Perol M. Ou S.I. Ahn J.S. Shaw A.T. Updated overall survival and final progression-free survival data for patients with treatment-naive advanced ALK-positive non-small-cell lung cancer in the ALEX study Ann. Oncol. 2020 31 1056 1064 10.1016/j.annonc.2020.04.478 32418886
66. Peters S. Camidge D.R. Shaw A.T. Gadgeel S. Ahn J.S. Kim D.W. Ou S.I. Perol M. Dziadziuszko R. Rosell R. Alectinib versus Crizotinib in Untreated ALK-Positive Non-Small-Cell Lung Cancer N. Engl. J. Med. 2017 377 829 838 10.1056/NEJMoa1704795 28586279
67. Camidge D.R. Kim H.R. Ahn M.J. Yang J.C. Han J.Y. Lee J.S. Hochmair M.J. Li J.Y. Chang G.C. Lee K.H. Brigatinib versus Crizotinib in ALK-Positive Non-Small-Cell Lung Cancer N. Engl. J. Med. 2018 379 2027 2039 10.1056/NEJMoa1810171 30280657
68. Solomon B.J. Liu G. Felip E. Mok T.S.K. Soo R.A. Mazieres J. Shaw A.T. de Marinis F. Goto Y. Wu Y.L. Lorlatinib Versus Crizotinib in Patients with Advanced ALK-Positive Non-Small Cell Lung Cancer: 5-Year Outcomes from the Phase III CROWN Study J. Clin. Oncol. 2024 42 3400 3409 10.1200/JCO.24.00581 38819031 PMC11458101
69. Shaw A.T. Bauer T.M. de Marinis F. Felip E. Goto Y. Liu G. Mazieres J. Kim D.W. Mok T. Polli A. First-Line Lorlatinib or Crizotinib in Advanced ALK-Positive Lung Cancer N. Engl. J. Med. 2020 383 2018 2029 10.1056/NEJMoa2027187 33207094
70. Liguori L. Salomone F. Viggiano A. Sabbatino F. Pepe S. Formisano L. Bianco R. Servetto A. KRAS mutations in advanced non-small cell lung cancer: From biology to novel therapeutic strategies Crit. Rev. Oncol. Hematol. 2025 205 104554 10.1016/j.critrevonc.2024.104554 39522850
71. de Langen A.J. Johnson M.L. Mazieres J. Dingemans A.C. Mountzios G. Pless M. Wolf J. Schuler M. Lena H. Skoulidis F. Sotorasib versus docetaxel for previously treated non-small-cell lung cancer with KRAS(G12C) mutation: A randomised, open-label, phase 3 trial Lancet 2023 401 733 746 10.1016/S0140-6736(23)00221-0 36764316
72. Barlesi F. Yao W. Duruisseaux M. Doucet L. Martinez A.A. Gregorc V. Juan-Vidal O. Lu S. De Bondt C. de Marinis F. Adagrasib versus docetaxel in KRAS(G12C)-mutated non-small-cell lung cancer (KRYSTAL-12): A randomised, open-label, phase 3 trial Lancet 2025 406 615 626 10.1016/S0140-6736(25)00866-9 40783289
73. Janne P.A. Riely G.J. Gadgeel S.M. Heist R.S. Ou S.I. Pacheco J.M. Johnson M.L. Sabari J.K. Leventakos K. Yau E. Adagrasib in Non-Small-Cell Lung Cancer Harboring a KRAS(G12C) Mutation N. Engl. J. Med. 2022 387 120 131 10.1056/NEJMoa2204619 35658005
74. Uy N.F. Merkhofer C.M. Baik C.S. HER2 in Non-Small Cell Lung Cancer: A Review of Emerging Therapies Cancers 2022 14 4155 10.3390/cancers14174155 36077691 PMC9454740
75. Heymach J.V. Ruiter G. Ahn M.J. Girard N. Smit E.F. Planchard D. Wu Y.L. Cho B.C. Yamamoto N. Sabari J.K. Zongertinib in Previously Treated HER2-Mutant Non-Small-Cell Lung Cancer N. Engl. J. Med. 2025 392 2321 2333 10.1056/NEJMoa2503704 40293180
76. Socinski M.A. Pennell N.A. Davies K.D. MET Exon 14 Skipping Mutations in Non-Small-Cell Lung Cancer: An Overview of Biology, Clinical Outcomes, and Testing Considerations JCO Precis. Oncol. 2021 5 653 663 10.1200/PO.20.00516 34036238 PMC8140815
77. Mazieres J. Paik P.K. Garassino M.C. Le X. Sakai H. Veillon R. Smit E.F. Cortot A.B. Raskin J. Viteri S. Tepotinib Treatment in Patients with MET Exon 14-Skipping Non-Small Cell Lung Cancer: Long-term Follow-up of the VISION Phase 2 Nonrandomized Clinical Trial JAMA Oncol. 2023 9 1260 1266 10.1001/jamaoncol.2023.1962 37270698 PMC10240398
78. Drilon A. Chiu C.H. Fan Y. Cho B.C. Lu S. Ahn M.J. Krebs M.G. Liu S.V. John T. Otterson G.A. Long-Term Efficacy and Safety of Entrectinib in ROS1 Fusion-Positive NSCLC JTO Clin. Res. Rep. 2022 3 100332 10.1016/j.jtocrr.2022.100332 35663414 PMC9160474
79. Shaw A.T. Riely G.J. Bang Y.J. Kim D.W. Camidge D.R. Solomon B.J. Varella-Garcia M. Iafrate A.J. Shapiro G.I. Usari T. Crizotinib in ROS1-rearranged advanced non-small-cell lung cancer (NSCLC): Updated results, including overall survival, from PROFILE 1001 Ann. Oncol. 2019 30 1121 1126 10.1093/annonc/mdz131 30980071 PMC6637370
80. Drilon A. Subbiah V. Gautschi O. Tomasini P. de Braud F. Solomon B.J. Shao-Weng Tan D. Alonso G. Wolf J. Park K. Selpercatinib in Patients with RET Fusion-Positive Non-Small-Cell Lung Cancer: Updated Safety and Efficacy from the Registrational LIBRETTO-001 Phase I/II Trial J. Clin. Oncol. 2023 41 385 394 Erratum in J. Clin. Oncol. 2023 , 41 , 4941. https://doi.org/10.1200/JCO.23.01849 10.1200/JCO.22.00393 36122315 PMC9839260
81. Griesinger F. Curigliano G. Thomas M. Subbiah V. Baik C.S. Tan D.S.W. Lee D.H. Misch D. Garralda E. Kim D.W. Safety and efficacy of pralsetinib in RET fusion-positive non-small-cell lung cancer including as first-line therapy: Update from the ARROW trial Ann. Oncol. 2022 33 1168 1178 10.1016/j.annonc.2022.08.002 35973665
82. Drilon A. Tan D.S.W. Lassen U.N. Leyvraz S. Liu Y. Patel J.D. Rosen L. Solomon B. Norenberg R. Dima L. Efficacy and Safety of Larotrectinib in Patients with Tropomyosin Receptor Kinase Fusion-Positive Lung Cancers JCO Precis. Oncol. 2022 6 e2100418 10.1200/PO.21.00418 35085007 PMC8830513
83. Smit E.F. Felip E. Uprety D. Nagasaka M. Nakagawa K. Paz-Ares Rodriguez L. Pacheco J.M. Li B.T. Planchard D. Baik C. Trastuzumab deruxtecan in patients with metastatic non-small-cell lung cancer (DESTINY-Lung01): Primary results of the HER2-overexpressing cohorts from a single-arm, phase 2 trial Lancet Oncol. 2024 25 439 454 10.1016/S1470-2045(24)00064-0 38547891
84. Kuo P. Elboudwarej E. Zavodovskaya M. Lin K.W. Lee C.V. Diehl L. Patel J. Mekan S. Jurgensmeier J.M. Trop-2 expression in non-small cell lung cancer PLoS ONE 2025 20 e0321555 10.1371/journal.pone.0321555 40233061 PMC11999141
85. Ahn M.J. Tanaka K. Paz-Ares L. Cornelissen R. Girard N. Pons-Tostivint E. Vicente Baz D. Sugawara S. Cobo M. Perol M. Datopotamab Deruxtecan Versus Docetaxel for Previously Treated Advanced or Metastatic Non-Small Cell Lung Cancer: The Randomized, Open-Label Phase III TROPION-Lung01 Study J. Clin. Oncol. 2025 43 260 272 10.1200/JCO-24-01544 39250535 PMC11771353
86. Ahn M.J. Lisberg A. Goto Y. Sands J. Hong M.H. Paz-Ares L. Pons-Tostivint E. Perol M. Felip E. Sugawara S. A Pooled Analysis of Datopotamab Deruxtecan in Patients with EGFR-Mutated NSCLC J. Thorac. Oncol. 2025 20 1669 1682 10.1016/j.jtho.2025.06.002 40516821
87. Lee J.B. Shim J.S. Cho B.C. Evolving roles of MET as a therapeutic target in NSCLC and beyond Nat. Rev. Clin. Oncol. 2025 22 640 666 10.1038/s41571-025-01051-9 40681868
88. Camidge D.R. Bar J. Horinouchi H. Goldman J. Moiseenko F. Filippova E. Cicin I. Ciuleanu T. Daaboul N. Liu C. Telisotuzumab Vedotin Monotherapy in Patients with Previously Treated c-Met Protein-Overexpressing Advanced Nonsquamous EGFR-Wildtype Non-Small Cell Lung Cancer in the Phase II LUMINOSITY Trial J. Clin. Oncol. 2024 42 3000 3011 10.1200/JCO.24.00720 38843488 PMC11361350
89. Park K. Haura E.B. Leighl N.B. Mitchell P. Shu C.A. Girard N. Viteri S. Han J.Y. Kim S.W. Lee C.K. Amivantamab in EGFR Exon 20 Insertion-Mutated Non-Small-Cell Lung Cancer Progressing on Platinum Chemotherapy: Initial Results from the CHRYSALIS Phase I Study J. Clin. Oncol. 2021 39 3391 3402 10.1200/JCO.21.00662 34339292 PMC8791812
90. Chon K. Larkins E. Chatterjee S. Mishra-Kalyani P.S. Aungst S. Wearne E. Subramaniam S. Li Y. Liu J. Sun J. FDA Approval Summary: Amivantamab for the Treatment of Patients with Non-Small Cell Lung Cancer with EGFR Exon 20 Insertion Mutations Clin. Cancer Res. 2023 29 3262 3266 10.1158/1078-0432.CCR-22-3713 37022784 PMC10523842
91. Passaro A. Wang J. Wang Y. Lee S.H. Melosky B. Shih J.Y. Wang J. Azuma K. Juan-Vidal O. Cobo M. Amivantamab plus chemotherapy with and without lazertinib in EGFR-mutant advanced NSCLC after disease progression on osimertinib: Primary results from the phase III MARIPOSA-2 study Ann. Oncol. 2024 35 77 90 10.1016/j.annonc.2023.10.117 37879444
92. Hayashi H. Cho B.C. Kim Y.J. Lee S.H. Danchaivijitr P. Alip A. Xiong H. How S.H. Chang G.C. Yang J.C. Overall survival for amivantamab plus lazertinib versus osimertinib as first-line treatment in Asian participants with EGFR-mutant advanced NSCLC: A MARIPOSA subset analysis Lung Cancer 2026 214 109305 10.1016/j.lungcan.2026.109305 41689889
93. Zhang J. Peng X. Huang H. Zhang Z. NRG1 fusions: The potential targeted treatment in non-small cell lung cancer(NSCLC) Crit. Rev. Oncol. Hematol. 2026 219 105147 10.1016/j.critrevonc.2026.105147 41581739
94. Olivares-Hernandez A. Santa-Catalina P.G. Fonseca-Sanchez E. Del Barco-Morillo E. Ivonescimab: Promise or reality for advanced non-small cell lung cancer? Transl. Lung Cancer Res. 2025 14 5203 5207 10.21037/tlcr-2025-aw-1146 41510379 PMC12775690
95. Zhao Y. Ma Y. Fan Y. Zhou J. Yang N. Yu Q. Zhuang W. Song W. Wang Z.M. Li B. A multicenter, open-label phase Ib/II study of cadonilimab (anti PD-1 and CTLA-4 bispecific antibody) monotherapy in previously treated advanced non-small-cell lung cancer (AK104-202 study) Lung Cancer 2023 184 107355 10.1016/j.lungcan.2023.107355 37677918
96. Khosla A.A. Jatwani K. Singh R. Reddy A. Jaiyesimi I. Desai A. Bispecific Antibodies in Lung Cancer: A State-of-the-Art Review Pharmaceuticals 2023 16 1461 10.3390/ph16101461 37895932 PMC10609957
97. Lü J. Analysis of genomic and immune microenvironment differences in Chinese populations: Revealing potential mechanisms of poor immunotherapy outcomes in patients with EGFR mutation and ALK fusion non-small cell lung cancer J. Clin. Oncol. 2025 43 8565 10.1200/jco.2025.43.16_suppl.8565
98. Shi Y. Lei Y. Liu L. Zhang S. Wang W. Zhao J. Zhao S. Dong X. Yao M. Wang K. Integration of comprehensive genomic profiling, tumor mutational burden, and PD-L1 expression to identify novel biomarkers of immunotherapy in non-small cell lung cancer Cancer Med. 2021 10 2216 2231 10.1002/cam4.3649 33655698 PMC7982619
99. Riely G.J. Non-Small Cell Lung Cancer, Version 4.2026, NCCN Clinical Practice Guidelines in Oncology JNCCN J. Natl. Compr. Cancer Netw. 2026 24 e260017 10.6004/jnccn.2026.0017 41956107
100. Zhao Y. He Y. Wang W. Cai Q. Ge F. Chen Z. Zheng J. Zhang Y. Deng H. Chen Y. Efficacy and safety of immune checkpoint inhibitors for individuals with advanced EGFR-mutated non-small-cell lung cancer who progressed on EGFR tyrosine-kinase inhibitors: A systematic review, meta-analysis, and network meta-analysis Lancet Oncol. 2024 25 1347 1356 10.1016/s1470-2045(24)00379-6 39159630
101. Bautista J. Echeverría C.E. Maldonado-Noboa I. Adatty-Molina J. Suárez Urresta S. Coral-Riofrio E.C. Araujo-Abad S. Kyriakidis N.C. López-Cortés A. Next-Generation Immune Checkpoints and Tumor Microenvironment Modulation in Cancer Immunotherapy J. Immunol. Res. 2026 2026 7864229 10.1155/jimr/7864229 41811823 PMC13140820
102. Luca V.C. LAG Time in the Era of Immunotherapy—New Molecular Insights Into the Immunosuppression Mechanism of Lymphocyte Activation Gene-3 Immunol. Rev. 2025 330 e70002 10.1111/imr.70002 39887765 PMC11917464
103. Roy D. Gilmour C. Patnaik S. Wang L.L. Combinatorial blockade for cancer immunotherapy: Targeting emerging immune checkpoint receptors Front. Immunol. 2023 14 1264327 10.3389/fimmu.2023.1264327 37928556 PMC10620683
104. Desai A. Exploring the potential of combination immune checkpoint strategies in non-small cell lung cancer (NSCLC) J. Clin. Oncol. 2023 41 9037 10.1200/jco.2023.41.16_suppl.9037
105. Ferrara M.G. Di Noia V. D’Argento E. Vita E. Damiano P. Cannella A. Ribelli M. Pilotto S. Milella M. Tortora G. Oncogene-Addicted Non-Small-Cell Lung Cancer: Treatment Opportunities and Future Perspectives Cancers 2020 12 1196 10.3390/cancers12051196 32397295 PMC7281569
106. Attili I. Corvaja C. Spitaleri G. Del Signore E. Trillo Aliaga P. Passaro A. de Marinis F. New Generations of Tyrosine Kinase Inhibitors in Treating NSCLC with Oncogene Addiction: Strengths and Limitations Cancers 2023 15 5079 10.3390/cancers15205079 37894445 PMC10605462
107. Riess J.W. Yu H.A. Le X. de Langen A.J. Cho B.C. Piotrowska Z. Hendriks L.E.L. Morabito A. Bonanno L. Brustugun O.T. Osimertinib plus datopotamab deruxtecan in patients with EGFR-mutated advanced NSCLC after progression on first-line osimertinib: ORCHARD Ann. Oncol. 2026 37 825 836 10.1016/j.annonc.2026.02.014 41780641
108. Horinouchi H. Cho B.C. Camidge D.R. Goto K. Tomasini P. Li Y. Vasilopoulos A. Brunsdon P. Hoffman D. Shi W. Results from a phase Ib study of telisotuzumab vedotin in combination with osimertinib in patients with c-Met protein-overexpressing, EGFR-mutated locally advanced/metastatic non-small-cell lung cancer (NSCLC) after progression on prior osimertinib Ann. Oncol. 2025 36 583 591 10.1016/j.annonc.2025.01.001 39805351
109. Besse B. Goto K. Wang Y. Lee S.H. Marmarelis M.E. Ohe Y. Bernabe Caro R. Kim D.W. Lee J.S. Cousin S. Amivantamab Plus Lazertinib in Patients with EGFR-Mutant NSCLC After Progression on Osimertinib and Platinum-Based Chemotherapy: Results from CHRYSALIS-2 Cohort A J. Thorac. Oncol. 2025 20 651 664 10.1016/j.jtho.2024.12.029 39755170
110. McGranahan N. Swanton C. Clonal Heterogeneity and Tumor Evolution: Past, Present, and the Future Cell 2017 168 613 628 10.1016/j.cell.2017.01.018 28187284
111. Chen W. Zhou A. Zhou Y. Correction: Bispecific antibody for lung cancer: Mechanisms and clinical insights Front. Immunol. 2025 16 1656082 10.3389/fimmu.2025.1656082 40746550 PMC12311369
112. Westover D. Zugazagoitia J. Cho B.C. Lovly C.M. Paz-Ares L. Mechanisms of acquired resistance to first- and second-generation EGFR tyrosine kinase inhibitors Ann. Oncol. 2018 29 i10 i19 10.1093/annonc/mdx703 29462254 PMC6454547
113. Rangachari D. Yamaguchi N. VanderLaan P.A. Folch E. Mahadevan A. Floyd S.R. Uhlmann E.J. Wong E.T. Dahlberg S.E. Huberman M.S. Brain metastases in patients with EGFR-mutated or ALK-rearranged non-small-cell lung cancers Lung Cancer 2015 88 108 111 10.1016/j.lungcan.2015.01.020 25682925 PMC4355240
114. Taslimi S. Brar K. Ellenbogen Y. Deng J. Hou W. Moraes F.Y. Glantz M. Zacharia B.E. Tan A. Ahluwalia M.S. Comparative Efficacy of Systemic Agents for Brain Metastases from Non-Small-Cell Lung Cancer with an EGFR Mutation/ALK Rearrangement: A Systematic Review and Network Meta-Analysis Front. Oncol. 2021 11 739765 10.3389/fonc.2021.739765 34950579 PMC8691653
115. Schiefer M. Hendriks L.E.L. Dinh T. Lalji U. Dingemans A.C. Current perspective: Osimertinib-induced QT prolongation: New drugs with new side-effects need careful patient monitoring Eur. J. Cancer 2018 91 92 98 10.1016/j.ejca.2017.12.011 29413968
116. Waliany S. Zhu H. Wakelee H. Padda S.K. Das M. Ramchandran K. Myall N.J. Chen T. Witteles R.M. Neal J.W. Pharmacovigilance Analysis of Cardiac Toxicities Associated with Targeted Therapies for Metastatic NSCLC J. Thorac. Oncol. 2021 16 2029 2039 10.1016/j.jtho.2021.07.030 34418561
117. Yu J. Zhu M. Zhu Y. Shu Q. From class effects to specificity FAERS evidence and network mapping of adverse events in NSCLC targeted therapy Int. J. Surg. 2026 112 9520 9534 10.1097/js9.0000000000004704 41563236 PMC13105538
118. Li R. Hua M. Li J. Chen W. Xu L. Meng H. Zhang Z. Liu Q. Cui Y. Xiang Q. The safety of trastuzumab deruxtecan (DS-8201) with a focus on interstitial lung disease and/or pneumonitis: A systematic review and single-arm meta-analysis Cancer 2024 130 2968 2977 10.1002/cncr.35349 38703012
119. Park Y.H. Cortes J. Modi S. Hurvitz S.A. Bianchini G. Iwata H. Shitara K. Siena S. Goto Y. Ku G.Y. Characterization of the safety profile of trastuzumab deruxtecan by dose: A pooled analysis across DESTINY studies Oncologist 2025 31 oyaf396 10.1093/oncolo/oyaf396 41330717 PMC12743619
120. Wei Q. Yang T. Zhang Z. Wang F. Yang Y. Zhu J. Zhu X. Li Y. Xing Y. Lu Y. Perivascular Niche-Resident Alveolar Macrophages Promote Interstitial Pneumonitis Related to Trastuzumab Deruxtecan Treatment Cancer Res. 2025 85 2081 2099 10.1158/0008-5472.Can-24-2021 40300097
121. Zhu Z. Li Y. Zhu C. Dong Q. Zhang Y. Liu Z. Ren D. Zhao F. Zhao J. Disproportionality analysis of interstitial lung disease associated with novel antineoplastic agents during breast cancer treatment: A pharmacovigilance study eClinicalMedicine 2025 82 103160 10.1016/j.eclinm.2025.103160 40166653 PMC11957809
122. Park K. Sabari J.K. Haura E.B. Shu C.A. Spira A. Salgia R. Reckamp K.L. Sanborn R.E. Govindan R. Bauml J.M. Management of infusion-related reactions (IRRs) in patients receiving amivantamab in the CHRYSALIS study Lung Cancer 2023 178 166 171 10.1016/j.lungcan.2023.02.008 36868177
123. Spira A.I. Paz-Ares L. Han J.Y. Shih J.Y. Mascaux C. Roy U.B. Zugazagoitia J. Kim Y.J. Chiu C.H. Kim S.W. Preventing Infusion-Related Reactions with Intravenous Amivantamab-Results from SKIPPirr, a Phase 2 Study: A Brief Report J. Thorac. Oncol. 2025 20 809 816 10.1016/j.jtho.2025.01.018 39864547
124. Zhao J. Xu W. Zhou F. Zhang X. Zhou M. Miao D. Yu L. Zhang Y. Fan J. Zhou C. Navigating the landscape of EGFR TKI resistance in EGFR-mutant NSCLC-mechanisms and evolving treatment approaches Nat. Rev. Clin. Oncol. 2026 23 63 83 10.1038/s41571-025-01085-z 41219394
125. Murtuza A. Bulbul A. Shen J.P. Keshavarzian P. Woodward B.D. Lopez-Diaz F.J. Lippman S.M. Husain H. Novel Third-Generation EGFR Tyrosine Kinase Inhibitors and Strategies to Overcome Therapeutic Resistance in Lung Cancer Cancer Res. 2019 79 689 698 10.1158/0008-5472.Can-18-1281 30718357
126. Facchinetti F. Proto C. Minari R. Garassino M. Tiseo M. Mechanisms of Resistance to Target Therapies in Non-small Cell Lung Cancer Handb. Exp. Pharmacol. 2018 249 63 89 10.1007/164_2017_16 28332047
127. Iams W.T. Mackay M. Ben-Shachar R. Drews J. Manghnani K. Hockenberry A.J. Cristofanilli M. Nimeiri H. Guinney J. Benson A.B. 3rd Concurrent Tissue and Circulating Tumor DNA Molecular Profiling to Detect Guideline-Based Targeted Mutations in a Multicancer Cohort JAMA Netw. Open 2024 7 e2351700 10.1001/jamanetworkopen.2023.51700 38252441 PMC10804266
128. Guidi L. Pellizzari G. Tarantino P. Valenza C. Curigliano G. Resistance to Antibody-Drug Conjugates Targeting HER2 in Breast Cancer: Molecular Landscape and Future Challenges Cancers 2023 15 1130 10.3390/cancers15041130 36831473 PMC9954056
129. Cerci B. Saatci O. Basik M. Sahin O. Mechanisms of resistance to antibody-drug conjugates in breast cancer Drug Resist. Updat. 2026 85 101353 10.1016/j.drup.2026.101353 41518796
130. Collins D.M. Bossenmaier B. Kollmorgen G. Niederfellner G. Acquired Resistance to Antibody-Drug Conjugates Cancers 2019 11 394 10.3390/cancers11030394 30897808 PMC6468698
131. Loganzo F. Sung M. Gerber H.P. Mechanisms of Resistance to Antibody-Drug Conjugates Mol. Cancer Ther. 2016 15 2825 2834 10.1158/1535-7163.Mct-16-0408 27780876
132. Murase Y. Nanjo S. Arai S. Kondo S. Koba H. Liu Y. Fukuda K. Sato S. Kinoshita J. Inaki N. Therapeutic Strategies to Overcome Payload Resistance of Trastuzumab Deruxtecan in HER2-Positive Cancers Cancer Sci. 2026 117 996 1009 10.1111/cas.70319 41548044 PMC13045244
133. Zhou K. Liu X. Zhu H. Overcoming resistance to antibody-drug conjugates: From mechanistic insights to cutting-edge strategies J. Hematol. Oncol. 2025 18 96 10.1186/s13045-025-01752-9 41185045 PMC12581271
134. Lee H. Ahn S. Maity R. Leblay N. Ziccheddu B. Truger M. Chojnacka M. Cirrincione A. Durante M. Tilmont R. Mechanisms of antigen escape from BCMA- or GPRC5D-targeted immunotherapies in multiple myeloma Nat. Med. 2023 29 2295 2306 10.1038/s41591-023-02491-5 37653344 PMC10504087
135. Letouzé E. Moreau P. Munshi N. Samur M. Minvielle S. Touzeau C. Mechanisms of resistance to bispecific T-cell engagers in multiple myeloma and their clinical implications Blood Adv. 2024 8 2952 2959 10.1182/bloodadvances.2023012354 38513088 PMC11302375
136. Verkleij C.P.M. O’Neill C.A. Broekmans M.E.C. Frerichs K.A. Bruins W.S.C. Duetz C. Kruyswijk S. Baglio S.R. Skerget S. Montes de Oca R. T-Cell Characteristics Impact Response and Resistance to T-Cell-Redirecting Bispecific Antibodies in Multiple Myeloma Clin. Cancer Res. 2024 30 3006 3022 10.1158/1078-0432.Ccr-23-3333 38687588
137. van de Donk N. Chari A. Mateos M.V. Mechanisms of resistance against T-cell engaging bispecific antibodies in multiple myeloma: Implications for novel treatment strategies Lancet Haematol. 2024 11 e693 e707 10.1016/s2352-3026(24)00186-8 39033769
138. Barachini S. Cassano Cassano R. Ronca F. Petrini I. Galimberti S. Buda G. The Role of Microenvironment in Bispecific Antibodies Treatment in Multiple Myeloma Eur. J. Haematol. 2026 117 55 73 10.1111/ejh.70168 41856486
139. Tawfiq R.K. de Camargo Correia G.S. Li S. Zhao Y. Lou Y. Manochakian R. Targeting Lung Cancer with Precision: The ADC Therapeutic Revolution Curr. Oncol. Rep. 2025 27 669 686 10.1007/s11912-025-01655-5 40238068
140. Amoozgar B. Bangolo A. Habibi M. Cho C. Goy A. From Molecular Precision to Clinical Practice: A Comprehensive Review of Bispecific and Trispecific Antibodies in Hematologic Malignancies Int. J. Mol. Sci. 2025 26 5319 10.3390/ijms26115319 40508128 PMC12154751
141. Oh S.Y. Park S. Lee S. Lee E.J. Kim T.H. Choi S.J. Park S.Y. Kim J.H. Lim S.M. Lee J.B. The potential of lazertinib and amivantamab combination therapy as a treatment strategy for uncommon EGFR-mutated NSCLC Cell Rep. Med. 2025 6 101929 10.1016/j.xcrm.2025.101929 39874964 PMC11866483
142. Gouda M.A. Huang H.J. Piha-Paul S.A. Call S.G. Karp D.D. Fu S. Naing A. Subbiah V. Pant S. Dustin D.J. Longitudinal Monitoring of Circulating Tumor DNA to Predict Treatment Outcomes in Advanced Cancers JCO Precis. Oncol. 2022 6 e2100512 10.1200/PO.21.00512 35834760 PMC9307306
143. Ding H. Yuan M. Yang Y. Xu X.S. Longitudinal genomic profiling using liquid biopsies in metastatic nonsquamous NSCLC following first line immunotherapy npj Precis. Oncol. 2025 9 5 10.1038/s41698-024-00797-2 39779891 PMC11711381
144. Zhang S. Li R. Cui H. Li H. Efficacy and safety analysis of treatment in patients with EGFR-mutated advanced NSCLC who progressed on TKIs: A systematic review and meta-analysis Front. Immunol. 2025 16 1673115 10.3389/fimmu.2025.1673115 41229435 PMC12602472
145. Parisi C. Mahjoubi L. Gazzah A. Barlesi F. TROP-2 directed antibody-drug conjugates (ADCs): The revolution of smart drug delivery in advanced non-small cell lung cancer (NSCLC) Cancer Treat. Rev. 2023 118 102572 10.1016/j.ctrv.2023.102572 37230055
146. Ansab M. Rath S. Alam U. Burhan M. Siddiqui H.T. Desai A. TROP-2-directed antibody-drug conjugates in advanced NSCLC: A systematic review and meta-analysis of efficacy, safety, and reconstructed survival outcomes Crit. Rev. Oncol. Hematol. 2026 218 105093 10.1016/j.critrevonc.2025.105093 41443486
147. Larsen M.E. Lyu H. Liu B. HER3-targeted therapeutic antibodies and antibody-drug conjugates in non-small cell lung cancer refractory to EGFR-tyrosine kinase inhibitors Chin. Med. J. Pulm. Crit. Care Med. 2023 1 11 17 Erratum in Chin. Med. J. Pulm. Crit. Care Med. 2024 , 3 , 64–65. https://doi.org/10.1016/j.pccm.2024.09.001 . 10.1016/j.pccm.2022.12.001 39170873 PMC11332908