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Published on: February 5, 2020
Risk of Serious Immune-Related Adverse Events with Various PD1 and PD-L1 Inhibitors: A Single-Institution, Real-Life,
Tiphaine Boucheron1, Laurent Chiche2, Guillaume Penaranda3
1Department of Pharmacy, Hôpital Européen, Marseille, France.
Immune checkpoint inhibitors (ICIs) cause immune-related adverse events (irAEs). This study found significant differences in severe irAE rates among specific anti-PD1 and anti-PD-L1 drugs, with nivolumab posing a higher risk.
Area of Science:
- Oncology
- Immunology
- Pharmacology
Background:
- Immune checkpoint inhibitors (ICIs) are crucial in cancer therapy but can cause immune-related adverse events (irAEs).
- The specific molecule used for ICIs may influence the frequency and severity of irAEs, a factor not yet fully elucidated.
- Understanding these differences is vital for optimizing patient safety in real-world clinical settings.
Purpose of the Study:
- To compare the safety profiles of different programmed cell death-1 (anti-PD1) and programmed cell death ligand-1 (anti-PD-L1) inhibitors.
- To identify potential predictive biomarkers for severe irAEs associated with these immunotherapies.
- To analyze the impact of irAEs on overall survival and cancer progression.
Main Methods:
- Retrospective analysis of 406 patients treated with anti-PD1 or anti-PD-L1 agents.
- Recording of severe irAEs (grade ≥3) and their characteristics.
- Statistical analysis to identify predictive factors for irAEs and overall survival, focusing on ICI type.
Main Results:
- No significant difference in severe irAEs between anti-PD1 and anti-PD-L1 categories overall (13.7% vs 11.7%).
- Significant variations in severe irAE rates were observed among specific ICIs (e.g., nivolumab 29.6%, pembrolizumab 8.2%).
- Nivolumab treatment and low polymorphonuclear neutrophil levels were identified as risk factors for severe irAEs.
Conclusions:
- This study reveals distinct toxicity profiles among various PD1/PD-L1 inhibitors in real-world use.
- Specific ICIs, such as nivolumab, are associated with a higher risk of severe irAEs.
- Identification of predictive biomarkers like neutrophil levels could aid in personalized immunotherapy strategies.
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