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Diversity of oncopharmacogenetic profile within Spanish population
Irene Ferrer Bolufer1, Ximo Galiana Vallés1, Silvia Izquierdo Álvarez2
1Genetics Laboratory, Clinical Analysis Service, General Hospital Consortium of Valencia, Valencia.
Pharmacogenetics and Genomics
|March 15, 2024
Summary
Pharmacogenetic testing for DPYD gene variants can prevent severe toxicity from fluoropyrimidine chemotherapy. This study details the allelic distribution of key DPYD and UGT1A1 variants in Spanish populations to guide drug prescription.
Area of Science:
- Pharmacogenomics
- Clinical Chemistry
- Oncology
Background:
- Established guidelines recommend genotype-guided fluoropyrimidine dosing to mitigate severe toxicity.
- Dihydropyrimidine dehydrogenase (DPYD) gene variations significantly impact drug metabolism and patient outcomes.
- Understanding allelic distribution is crucial for safe and effective antineoplastic drug prescription.
Purpose of the Study:
- To characterize the allelic distribution of specific DPYD and UGT1A1 variants.
- To provide essential pharmacogenetic data for irinotecan and fluoropyrimidine therapy management.
- To assess variant frequencies in Valencian, Aragonese, and Western Andalusian populations.
Main Methods:
- Genotyping of UGT1A1*28 (rs3064744) and DPYD variants (DPYD*2A, c.1679T>G, c.2846A>T, c.1129-5923C>G).
- Analysis of a cohort of 5251 patients undergoing treatment with irinotecan and fluoropyrimidines.
- Population-based allelic frequency determination.
Main Results:
- Detailed allelic distribution data for UGT1A1*28 and multiple DPYD variants were obtained.
- Frequencies were determined in a large patient cohort representative of specific Spanish populations.
- The study provides a precise description of variant frequencies relevant to clinical practice.
Conclusions:
- The allelic distribution data are vital for optimizing genotype-guided dosing of irinotecan and fluoropyrimidines.
- This pharmacogenetic information supports the prevention of serious adverse drug reactions.
- The findings contribute to personalized medicine approaches in cancer treatment.
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