ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026
Novel molecular biomarkers associated with Taxane-induced toxicities in women with breast cancer from the Brazilian Amazon.
Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
introductionTaxanes are drugs commonly used in the treatment of breast cancer. Despite their proven therapeutic efficacy, they can induce severe toxicities, which can be investigated by pharmacogenomics. In this context, the aim of this study was to investigate 26 molecular biomarkers in 17 pharmacogenes (CYP2C8, ABCB1, CYP1A1, CYP1B1, CYP19A1, CYP3A5, ERCC1, ERBB2, VEGFA, ERCC2, MDM2, MTHFR, RAD51, SOD2, TP53, TANC1 and XRCC1), in women with Breast Cancer undergoing Taxane treatment in the Brazilian Amazon region.
methodsThis study was carried out with 279 women diagnosed with BC, undergoing antineoplastic chemotherapy treatment based on Taxanes (Docetaxel and Paclitaxel), in Brazilian Amazon region. 26 pharmacogenetic markers located in 17 genes involved in the metabolic pathway of Taxanes and related toxicities were selected. Single nucleotide variants were genotyped by allelic discrimination using TaqMan OpenArray Genotyping technology.
resultsThe study population showed significant associations of Taxane toxicities with ten variants of nine genes: CYP1A1, CYP19A1, CYP3A5, ERCC1, VEGFA, ERCC2, MTHFR, TANC1 and XRCC1. Notably, variants in TANC1 and XRCC1, previously associated with radiotoxicity, were also implicated in Taxane-induced toxicities. The study demonstrated that novel biomarkers may be important for investigating Taxane-induced toxicities in breast cancer.
conclusionsThese findings represent a unique contribution to the field, potentially enabling more precise chemotherapy selection, particularly for populations such as Amazonian women.
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