Mechanisms of checkpoint inhibition-induced adverse events
P Urwyler1, I Earnshaw2, M Bermudez2
1Department of Medical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Abstract:
Immune checkpoint inhibition has revolutionized the treatment of several solid cancers, most notably melanoma and non-small-cell lung cancer (NSCLC). Drugs targeting cytotoxic T lymphocyte antigen (CTLA)-4 and programmed cell death 1 (PD-1) have made their way into routine clinical use; however, this has not been without difficulties. Stimulation of the immune system to target cancer has been found to result in a reduction of self-tolerance, leading to the development of adverse effects that resemble autoimmunity. These adverse effects are erratic in their onset and severity and can theoretically affect any organ type. Several mechanisms for immune-related toxicity have been investigated over recent years; however, no consensus on the cause or prediction of toxicity has been reached. This review seeks to examine reported evidence for possible mechanisms of toxicity, methods for prediction of those at risk and a discussion of future prospects within the field.
Insights
Immune checkpoint inhibitors (ICIs) offer new cancer treatments but can cause autoimmune-like side effects. Research is ongoing to understand and predict these immune-related adverse events for better patient outcomes.
Area of Science:
- Oncology
- Immunology
- Pharmacology
Background:
- Immune checkpoint inhibitors (ICIs) targeting CTLA-4 and PD-1 have transformed melanoma and NSCLC treatment.
- ICI therapy stimulates the immune system against cancer but can reduce self-tolerance, leading to immune-related adverse events (irAEs).
- irAEs manifest as autoimmune-like toxicities, varying unpredictably in onset and severity across all organ systems.
Purpose of the Study:
- To review evidence on the mechanisms underlying ICI-induced toxicity.
- To explore methods for predicting which patients are at risk of developing irAEs.
- To discuss future directions in managing and predicting ICI-related toxicities.
Main Methods:
- Literature review of published studies on ICI mechanisms and toxicity.
- Analysis of reported cases and experimental investigations into irAEs.
- Synthesis of current knowledge on predictive biomarkers and management strategies.
Main Results:
- Multiple mechanisms for irAEs have been proposed but no consensus exists.
- Current methods for predicting irAE risk are limited.
- The unpredictable nature of irAEs poses a significant clinical challenge.
Conclusions:
- Understanding ICI toxicity mechanisms is crucial for improving patient safety.
- Development of reliable predictive tools for irAEs is a key future goal.
- Further research is needed to optimize ICI therapy and mitigate its adverse effects.
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