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Updated: Oct 26, 2025

Identifying PD-1/PD-L1 Inhibitors with Surface Plasmon Resonance Technology
Published on: May 2, 2025
[Current landscape of biomarker development for immune checkpoint inhibitors targeting PD-1/PD-L1 pathway in
Lisa Chaput1, Lars Petter Jordheim2
1Université Lyon, université Claude-Bernard Lyon 1, faculté de pharmacie de Lyon, ISPB, 69008 Lyon, France.
Abstract:
The immune checkpoints inhibitors targeting PD-1 or PD-L1 represent a new paradigm in the cancer treatment strategy. However, some populations of patients do not benefit from these agents. The identification of predictive biomarkers appears as an essential step for the treatment pathway, to guarantee the access to an evidence-based medicine accounting for the potential toxicity profile, the cost for the healthcare system and the clinical benefit eventually provided by these new drugs. In this review, we propose, based on scientific literature and industrial communications, an overview of the current landscape of predictive biomarkers related to PD-1 or PD-L1 inhibitors efficacy, validated or under development, their evidence level, and limits accounting for identified or potential confounding factors. Our paper shows that, despite the important amount of work performed in this field, there is not yet a validated and efficient solution for the prediction of the activity and/or the toxicity of anti-PD-1 and anti-PD-L1 antibodies.
Insights
Predictive biomarkers for cancer immunotherapy are crucial but not yet validated. This review examines current PD-1/PD-L1 inhibitor biomarkers, finding no definitive solution for predicting treatment efficacy or toxicity.
Area of Science:
- Oncology
- Immunology
- Pharmacology
Background:
- Immune checkpoint inhibitors targeting PD-1 or PD-L1 are a new cancer treatment strategy.
- Some patient populations do not respond to these therapies, necessitating predictive biomarkers.
Purpose of the Study:
- To review the current landscape of predictive biomarkers for PD-1/PD-L1 inhibitor efficacy.
- To assess the evidence level and limitations of validated and developing biomarkers.
Main Methods:
- Literature review of scientific publications.
- Analysis of industrial communications regarding biomarkers.
- Evaluation of biomarker evidence levels and confounding factors.
Main Results:
- Significant research exists on PD-1/PD-L1 inhibitor biomarkers.
- No universally validated and efficient biomarker currently exists for predicting treatment response or toxicity.
Conclusions:
- Predictive biomarkers are essential for personalized cancer immunotherapy.
- Further research is needed to develop reliable biomarkers for PD-1/PD-L1 inhibitors.

