Pharmacogenomics and Immunotherapy

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-23
DOI
https://doi.org/10.5281/zenodo.20349710
Primary Topic
Drug-Induced Adverse Reactions
Type
article
Field-Weighted Citation Impact
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article

Pharmacogenomics and Immunotherapy

Ememobong Eka
Zenodo (CERN European Organization for Nuclear Research)
Drug-Induced Adverse Reactions
article

Pharmacogenomics and Immunotherapy

Ememobong Eka
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 7%
Drug-Induced Adverse Reactions
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