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PD-L1 in Systemic Immunity: Unraveling Its Contribution to PD-1/PD-L1 Blockade Immunotherapy
Ana Bocanegra1, Ester Blanco1, Gonzalo Fernandez-Hinojal2
1Oncoimmunology Group, Biomedical Research Centre Navarrabiomed-UPNA, IdISNA, Irunlarrea 3, 31008 Pamplona, Spain.
Abstract:
The use of monoclonal antibodies targeting PD-1/PD-L1 axis completely changed anticancer treatment strategies. However, despite the significant improvement in overall survival and progression-free survival of patients undergoing these immunotherapy treatments, the only clinically accepted biomarker with some prediction capabilities for the outcome of the treatment is PD-L1 expression in tumor biopsies. Nevertheless, even when having PD-L1-positive tumors, numerous patients do not respond to these treatments. Considering the high cost of these therapies and the risk of immune-related adverse events during therapy, it is necessary to identify additional biomarkers that would facilitate stratifying patients in potential responders and non-responders before the start of immunotherapies. Here, we review the utility of PD-L1 expression not only in tumor cells but in immune system cells and their influence on the antitumor activity of immune cell subsets.
Insights
Immune checkpoint inhibitors targeting the PD-1/PD-L1 pathway are revolutionizing cancer treatment. This review explores PD-L1 expression in tumor and immune cells to improve patient selection for immunotherapy.
Area of Science:
- Immunology
- Oncology
- Biomarker Discovery
Background:
- Monoclonal antibodies targeting the PD-1/PD-L1 axis have transformed cancer therapy, improving patient survival.
- PD-L1 expression in tumor biopsies is the primary biomarker for predicting response to immunotherapy.
- However, many patients with PD-L1-positive tumors do not respond, necessitating better predictive biomarkers.
Purpose of the Study:
- To review the role of PD-L1 expression in predicting immunotherapy outcomes.
- To explore PD-L1 expression in both tumor cells and immune cells.
- To assess the influence of PD-L1 on immune cell subsets and antitumor activity.
Main Methods:
- Literature review of studies on PD-1/PD-L1 inhibitors in cancer treatment.
- Analysis of PD-L1 expression in tumor cells and tumor-infiltrating immune cells.
- Evaluation of the correlation between PD-L1 expression patterns and treatment response.
Main Results:
- PD-L1 expression on tumor cells alone is insufficient for accurate patient stratification.
- PD-L1 expression on immune cells offers additional predictive value for immunotherapy response.
- Combined analysis of PD-L1 in different cellular compartments may enhance prediction accuracy.
Conclusions:
- Beyond tumor cell PD-L1, immune cell PD-L1 expression is crucial for predicting immunotherapy efficacy.
- Further research into multifaceted PD-L1 expression patterns can optimize patient selection for cancer immunotherapy.
- Identifying novel biomarkers is essential to improve treatment outcomes and reduce healthcare costs associated with ineffective immunotherapies.
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