Pharmacogenomics Applied to Acute Leukemias: Identifying Clinically Relevant Genetic Variants
Flávia Melo Cunha de Pinho Pessoa, Isabelle Magalhães Farias, Beatriz Maria Dias Nogueira, Caio Bezerra Machado, Igor Valentim Barreto, Anna Karolyna da Costa Machado, Guilherme Passos de Morais, Leidivan Sousa da Cunha, Deivide de Sousa Oliveira, André Pontes Thé

TL;DR
This paper explores how genetic variants affect chemotherapy outcomes in acute leukemias, highlighting genes like ABCB1 and TPMT that influence drug response and toxicity.
Contribution
The study identifies clinically relevant genetic variants in AML and ALL using the ClinPGx/PharmGKB database, emphasizing their role in drug response and toxicity.
Findings
Nonsynonymous variants are more frequent in ALL compared to AML.
ABCB1 variants are linked to chemotherapy resistance in acute leukemias.
TPMT and NUDT15 variants are associated with severe drug toxicities.
Abstract
Acute leukemias are highly aggressive hematologic malignancies that demand intensive chemotherapy regimens. However, drug toxicity remains a major barrier to treatment success and patient survival. In this context, pharmacogenomics offers a promising strategy by identifying single-nucleotide variants (SNVs) that influence drug metabolism, efficacy, and toxicity, ultimately impacting treatment outcomes. This study analyzed data from the ClinPGx/PharmGKB database to identify clinically annotated variants related to chemotherapy response in Acute Myeloid Leukemia (AML) and Acute Lymphoblastic Leukemia (ALL). A total of 24 variants were curated for AML and 57 for ALL. Among these, nonsynonymous variants were most frequent in ALL (31.6%), while synonymous variants predominated in AML (33.3%). Although traditionally considered neutral, synonymous and intronic variants may influence gene…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsAcute Lymphoblastic Leukemia research · Epigenetics and DNA Methylation · Cancer Genomics and Diagnostics
