Introduction: Breast cancer susceptibility is influenced by multiple genetic variants, notably SNPs in key genes
such as BRCA1 and BRCA2.
Methods: Genetic polymorphism data were retrieved from the National Center for Biotechnology
Information (NCBI) databases, a comprehensive public resource for genomic information. The
MegaGen platform, a specialized pharmacogenetic analysis tool, was used to evaluate
polymorphism prevalence, gene-disease associations, and predict drug response and adverse
effects based on genetic variants.
Results: Significant polymorphisms including rs80357078 and rs8176153 (BRCA1) and rs80358785
(BRCA2) were linked to disease risk. Pharmacogenetic analysis revealed associations between
SNPs—such as rs121964872 (CDH1), rs741765 (STK11), rs121913255 (NRAS), and rs63751221
(MLH1)—and adverse drug reactions to agents including Endoxyna, Brescu, and Cisplatin.
Conclusion: Pre-therapeutic genetic testing of prevalent polymorphisms is crucial to guide personalized
therapy, minimize adverse drug reactions, and improve treatment outcomes in breast cancer
patients.
Keywords: Breast cancer, SNP, Pharmacogenetics, Adverse drug reactions,