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Randomized trial investigates pharmacogenomics application in immunotherapy to reduce adverse events, emphasizing diverse data integration.
Pharmacogenomics is not utilized to its fullest capacity in clinical settings. The field is not expounded on by clinicians. Its lack of integration is a missed opportunity to improve patient outcomes. This gap is also evident in immunotherapy. There is no standardized pre-treatment screening protocol to identify which patients are most vulnerable before the first dose is administered. This is a systematic immune crisis that requires the use of pharmacogenomics to prevent it. PGx can be applied to predict severe immune-related adverse events before treatment begins by creating a pre-treatment immunotherapy toxicity predictor through three distinct pathways: HLA haplotypes, cytokine polymorphisms, and the gut microbiome. If this framework can be implemented into clinical settings, it has the possibility of minimizing deaths. There is a demand for the implementation of minority ancestral data in PGx databases. A clinical trial for this framework must be diverse before the first dose is administered.
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Ememobong Eka (2026) studied this question.
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