Aug 2026· Journal of Clinical Question· 0 citations· 113 references
TL;DR
Current evidence supports PD-L1 as the most widely implemented biomarker, but no single factor adequately captures the biological and temporal heterogeneity of treatment response, so integrated, dynamic, and context-specific biomarker models are required to improve precision immuno-oncology.
Abstract
Immune checkpoint inhibitors (ICIs), particularly programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) inhibitors, are central to the treatment of non-small cell lung cancer (NSCLC), and a subset of patients achieves durable benefit. In historical studies of broadly selected patients receiving ICI monotherapy, objective responses occurred in approximately 20%, although response rates vary substantially according to treatment line, PD-L1 expression, molecular subtype, patient selection, and the use of combination regimens. This narrative review used targeted searches of PubMed/MEDLINE, ClinicalTrials.gov, and reference lists of key publications to identify English-language evidence available through May 2026, prioritizing pivotal randomized trials, prospective translational studies, consensus statements, guidelines, and recent high-quality reviews. We critically examine tumor-microenvironmental features, PD-L1 expression, tumor mutational burden (TMB), oncogenic driver alterations, combination strategies, and patient-related factors that may influence PD-(L)1 inhibitor efficacy. Although other immune checkpoints, including cytotoxic T-lymphocyte-associated protein 4 and lymphocyte-activation gene 3, are discussed when directly relevant to combination therapy, the principal focus is PD-1/PD-L1-directed treatment. Current evidence supports PD-L1 as the most widely implemented biomarker, but no single factor adequately captures the biological and temporal heterogeneity of treatment response. Integrated, dynamic, and context-specific biomarker models, supported by prospective validation, are therefore required to improve precision immuno-oncology.
The combination of PD-1 inhibitors and chemotherapy may provide a significant OS and PFS benefit relative to PD-L1 inhibitors plus chemotherapy in NSCLC and a similar safety profile.
Cui Dang, Jing-zhang Li, Hong Chen et al.· PeerJ· 0 citations
This review summarizes immune resistance in NSCLC through a framework that distinguishes primary resistance from acquired resistance, and discusses mechanism-based biomarkers, translational correlates, and rational therapeutic strategies for overcoming resistance.
Bo Yuan, Wenzhi Deng, Juan Luo et al.· Frontiers in Immunology· 0 citations
Limited benefit in other cancer subsets highlights the need for biomarker discovery and optimization of therapeutic strategies, including addition of antibody-drug conjugates to ICIs, next-generation checkpoint modulation, personalized neoantigen vaccines, and engineered cellular immunotherapy.
Victor M. Samperio, Ruba Alchaikh Hassan, Aishwarya Ghonge et al.· Expert Opinion on Biological...· 0 citations
Within RCC, bladder cancer, and NSCLC, next-generation PD-(L)1 combinations are reshaping treatment across all disease stages, and the magnitude of benefit, the relevant biomarkers, and the toxicity trade-offs differ substantially by tumor type and by setting.
F. Petrelli, Lara Colombo Zefinetti, A. D'Alessio et al.· Current Oncology Reports· 0 citations
It is found that ICI monotherapy significantly improves overall survival in NSCLC with PD-L1 expression ≥50% compared with platinum-based chemotherapy, and first-line atezolizumab plus chemotherapy extended median overall survival to 12.3 months, compared with 10.3 months in extensive-stage SCLC.
Mojeeb Abdo Abdullah Qasem, T. Budhy, D. Suprabawati et al.· Health Dynamics· 0 citations
A dual-source PD-L1 framework is proposed to discuss the potential contributions of tumor cell-derived and immune cell-derived PD-L1 to GBM-mediated immunosuppression and therapeutic response and a multilayer resistance model involving the blood–brain barrier, an immunologically cold tumor microenvironment, and compens...
Junlin Lu, Xu-Xin Zhang· Eurasian Journal of Medicine...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.