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Biomarkers and immunotherapy: where are we?
Mireille Langouo Fontsa1, Francine Padonou, Karen Willard-Gallo
1Molecular Immunology Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels (Anderlecht), Belgium.
Current Opinion in Oncology
|August 9, 2022
Summary
Predictive biomarkers for immune checkpoint inhibitors (ICI) are crucial for cancer therapy. Identifying these biomarkers helps maximize patient benefit and minimize toxic side effects from treatments like PD-L1 therapy.
Area of Science:
- Oncology
- Immunotherapy
- Biomarker Discovery
Background:
- Immune checkpoint inhibitors (ICIs) have transformed cancer treatment, offering improved survival for metastatic disease.
- However, only a subset of patients benefits from ICI therapy, and treatments carry risks of severe immune-related adverse events (irAEs).
- Numerous factors, including tumor-intrinsic, microenvironment, and systemic elements, influence ICI response.
Purpose of the Study:
- To review recent advancements in understanding predictive biomarkers for immune checkpoint inhibitor (ICI) treatment.
- To highlight the critical need for reliable biomarkers to guide patient selection for ICI therapy.
Main Methods:
- Comprehensive literature review of recent breakthroughs in predictive biomarker research for ICI.
- Analysis of factors influencing ICI treatment response and toxicity.
Main Results:
- Currently, only Programmed Death-Ligand 1 (PD-L1) expression, tumor microenvironment characteristics, and microsatellite instability are FDA-approved biomarkers for ICI, with limitations.
- Research is exploring a wide array of biomarkers beyond these established ones.
Conclusions:
- Valid predictive biomarkers for ICI sensitivity are essential for optimizing patient treatment strategies.
- Developing robust biomarkers will enhance treatment efficacy and reduce the incidence of life-threatening irAEs.
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