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UACA locus is associated with breast cancer chemoresistance and survival

Few germline genetic variants have been robustly linked with breast cancer outcomes. We conducted trans-ethnic meta genome-wide association study (GWAS) of overall survival (OS) in 3973 breast cancer patients from the Pathways Study, one of the largest prospective breast cancer survivor cohorts. A l...

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Detalles Bibliográficos
Autores principales: Zhu, Qianqian, Schultz, Emily, Long, Jirong, Roh, Janise M., Valice, Emily, Laurent, Cecile A., Radimer, Kelly H., Yan, Li, Ergas, Isaac J., Davis, Warren, Ranatunga, Dilrini, Gandhi, Shipra, Kwan, Marilyn L., Bao, Ping-Ping, Zheng, Wei, Shu, Xiao-Ou, Ambrosone, Christine, Yao, Song, Kushi, Lawrence H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943134/
https://www.ncbi.nlm.nih.gov/pubmed/35322040
http://dx.doi.org/10.1038/s41523-022-00401-5
Descripción
Sumario:Few germline genetic variants have been robustly linked with breast cancer outcomes. We conducted trans-ethnic meta genome-wide association study (GWAS) of overall survival (OS) in 3973 breast cancer patients from the Pathways Study, one of the largest prospective breast cancer survivor cohorts. A locus spanning the UACA gene, a key regulator of tumor suppressor Par-4, was associated with OS in patients taking Par-4 dependent chemotherapies, including anthracyclines and anti-HER2 therapy, at a genome-wide significance level ([Formula: see text] ). This association was confirmed in meta-analysis across four independent prospective breast cancer cohorts (combined hazard ratio = 1.84, [Formula: see text] ). Transcriptome-wide association study revealed higher UACA gene expression was significantly associated with worse OS ([Formula: see text] ). Our study identified the UACA locus as a genetic predictor of patient outcome following treatment with anthracyclines and/or anti-HER2 therapy, which may have clinical utility in formulating appropriate treatment strategies for breast cancer patients based on their genetic makeup.