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Immune Checkpoint Inhibitors (ICI) have revolutionized cancer therapy, providing unprecedented responses in a wide range of malignancies. However, they induced various immune-related adverse events (iRAE) that can be life-threatening. About 20% of patients treated with an ICI monotherapy, and up to 60% of patients treated with a combination of ICIs, experienced a severe iRAE. Most side effects are reversible if managed early, but can affect survival and quality of life, leading to treatment interruptions or hospitalization. Some of these irAEs, particularly those affecting hormonal functions, may be irreversible and persist even after treatment discontinuation.
The development of predictive biomarkers of such toxicities is an unmet medical need. The variety of mechanisms involved in iRAE, and the lack of effective animal models, could probably explain why the topic remains largely unexplored. To date, some biomarkers predictive of the occurrence of iRAE, irrespective of the type of organ affected, have been identified by state-of-the-art techniques on small cohorts prior to treatment initiation, but none is individually robust enough to be used in daily practice.
We hypothesize that a signature derived from the integrative analysis of various biological parameters (immunomonitoring, auto-immunity features, viral monitoring, microbiota monitoring, fragmentome analysis, pharmacokinetics, radiomics and genetics), available in routine hospital practice, could answer this question, and thus enable the development of specific prevention strategies
The objectives are :
Primary objective:
Identify a baseline predictive signature for severe iRAE, irrespective of the type of organ affected.
Secondary objectives:
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150 participants in 1 patient group
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Nausicaa Malissen, dr
Data sourced from clinicaltrials.gov
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