ReviewFrontiers in immunology2026
Clinical applications of antibody-drug conjugates in advanced non-small cell lung cancer.
Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Therapeutic Targeting of VEGFR-2, PD-L1, and EGFR-MET Pathways in Non-Small Cell Lung Cancer: Clinical Progress with Ramucirumab, Atezolizumab, and Amivantamab.Journal of clinical medicine · 2026Review
- The primary cilium as a compartmentalized signaling hub in tissue immunity and homeostasis.Frontiers in cell and developmental biology · 2026Review
- Consensus recommendations for the management of Dato-DXd-associated adverse events in patients with advanced/metastatic NSCLC: insights from a multiregional steering committee.Therapeutic advances in medical oncology · 2026Review
- Immunotherapy in Asia: current insights and prospects in Southeast Asia and Malaysia.Frontiers in oncology · 2026Review
- Precision immuno-oncology in NSCLC: integrating ADCs, therapeutic vaccines, and adoptive cell therapies for next-generation systemic treatment.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide, with non-small cell lung cancer (NSCLC) constituting the majority of cases. Current treatment modalities are constrained by significant limitations: conventional chemotherapy exhibits poor tumor selectivity and systemic toxicity, while monoclonal antibodies frequently demonstrate inadequate therapeutic efficacy. Antibody-drug conjugates (ADCs)-engineered biotherapeutics comprising tumor-targeting antibodies conjugated to potent cytotoxic agents through optimized linkers-have emerged as a transformative strategy to address these therapeutic challenges in advanced NSCLC. This review systematically examines the structural architecture, developmental evolution, and mechanistic foundations of ADCs, with a focused evaluation of clinical evidence supporting ADCs targeting HER2, TROP2, c-MET, HER3, CEACAM5, and B7-H3 in advanced NSCLC. We critically assess efficacy outcomes, safety profiles, predictive biomarkers, and toxicity management strategies-particularly regarding interstitial lung disease, hematologic toxicities, and neuropathic adverse events. Key clinical challenges including tumor heterogeneity, therapeutic resistance, biomarker heterogeneity, and patient stratification are analyzed. Furthermore, we highlight emerging therapeutic approaches such as next-generation ADC design, novel linker-payload systems, bispecific platforms, and rational combination strategies with targeted and immunotherapeutic agents. Collectively, these developments position ADCs as promising precision oncology tools capable of reshaping treatment paradigms and improving clinical outcomes in advanced NSCLC.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.