Tumour- and Non-Tumour-Associated Factors That Modulate Response to PD-1/PD-L1 Inhibitors in Non-Small Cell Lung
Maryam Khalil1,2, Ming-Sound Tsao1,2,3
1Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C4, Canada.
Cancers
|July 12, 2025
Summary
Immunotherapy targeting programmed cell death 1 (PD-1) and its ligand PD-L1 improves cancer treatment, but not all non-small cell lung cancer (NSCLC) patients benefit. This review explores additional biomarkers beyond PD-L1 to predict immunotherapy response in NSCLC.
Area of Science:
- Oncology
- Immunology
- Cancer Research
Background:
- Immune checkpoint inhibitors targeting PD-1/PD-L1 pathways offer therapeutic benefits in cancer, particularly non-small cell lung cancer (NSCLC).
- Current patient selection relies on PD-L1 tumour proportion score (TPS), but its imperfect predictive accuracy limits treatment efficacy for many advanced NSCLC patients.
- Tumour immune evasion mediated by PD-1/PD-L1 interactions necessitates the identification of novel predictive biomarkers.
Purpose of the Study:
- To review tumour- and non-tumour-associated factors influencing response to PD-1/PD-L1 inhibitors in NSCLC.
- To explore mechanistic and clinical evidence for potential biomarkers beyond PD-L1 TPS.
- To investigate the role of these biomarkers in relation to the tumour microenvironment (TME).
Main Methods:
- Literature review of studies investigating biomarkers for PD-1/PD-L1 inhibitor response in NSCLC.
- Analysis of mechanistic data on tumour- and non-tumour-associated factors.
- Examination of clinical evidence supporting the utility of novel biomarkers.
Main Results:
- PD-L1 TPS is an imperfect biomarker for predicting response to PD-1/PD-L1 blockade therapy in NSCLC.
- Numerous tumour- and non-tumour-associated factors, beyond PD-L1 expression, impact immunotherapy outcomes.
- These factors are intricately linked to the tumour microenvironment (TME) and offer potential for improved patient stratification.
Conclusions:
- Additional biomarkers are crucial for optimizing patient selection for PD-1/PD-L1 inhibitor therapy in NSCLC.
- Understanding diverse predictive markers and their TME interactions can enhance immunotherapy efficacy.
- Further research into these novel biomarkers is warranted to improve treatment outcomes for NSCLC patients.
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