PD-L1 Expression in NSCLC: Clouds in a Bright Sky
Victoria Ferrari1, Jocelyn Gal2, Baharia Mograbi3
1Antoine Lacassagne Center, Department of Medical Oncology, University Côte d'Azur, 33 Avenue de Valombrose, 06189 Nice, France.
International Journal of Molecular Sciences
|July 12, 2025
Summary
Programmed Death-Ligand 1 (PD-L1) expression predicts immunotherapy response in lung cancer. However, its complex regulation and measurement challenges limit clinical utility, necessitating advanced biomarker strategies.
Area of Science:
- Oncology
- Immunology
- Molecular Biology
Background:
- Programmed Death-Ligand 1 (PD-L1) is a key target for immune checkpoint inhibitors (CPIs) in cancer therapy.
- Tumoral PD-L1 expression is a recognized, yet imperfect, predictor of CPI response, particularly in lung cancer.
- PD-L1's role in immune resistance is linked to interferon-gamma upregulation by immune cells near tumor cells.
Purpose of the Study:
- To review the molecular mechanisms regulating PD-L1 expression in lung cancer.
- To discuss the limitations of PD-L1 as a predictive biomarker for CPI therapy.
- To explore emerging multimodal/multi-omics biomarker strategies for patient selection.
Main Methods:
- Literature review focusing on molecular mechanisms of PD-L1 expression.
- Analysis of factors influencing PD-L1 modulation (oncogenic pathways, transcriptional/post-transcriptional regulation).
- Discussion of measurement challenges (glycosylation, immunohistochemistry accuracy).
Main Results:
- PD-L1 expression is modulated by multiple factors, leading to potential false positive/negative predictions.
- PD-L1 levels can be unstable during cancer treatment (chemotherapy, TKIs), impacting predictive value.
- Complex regulatory networks and measurement variability challenge PD-L1's sole reliance as a biomarker.
Conclusions:
- Optimizing CPI therapy requires understanding PD-L1's complex regulation and limitations.
- Multimodal and multi-omics biomarker approaches are emerging for improved patient selection.
- Large-scale prospective studies are needed to validate comprehensive PD-L1-enriched biomarker strategies in lung cancer.


