Identification of a six-gene signature associated with tumor mutation burden for predicting prognosis in patients with invasive breast carcinoma

BACKGROUND: Breast cancer (BC) is one of the most common cancers with high mortality worldwide. In the present study, through bioinformatics analysis, we aimed to identify new biomarkers to predict the survival rate of BC patients. METHODS: Differentially expressed genes (DEGs) between low- and high...

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Detalles Bibliográficos
Autores principales: Wang, Feiran, Tang, Chong, Gao, Xuesong, Xu, Junfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210212/
https://www.ncbi.nlm.nih.gov/pubmed/32395497
http://dx.doi.org/10.21037/atm.2020.04.02

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210212/
https://www.ncbi.nlm.nih.gov/pubmed/32395497
http://dx.doi.org/10.21037/atm.2020.04.02

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