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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...
Autores principales: | Wang, Feiran, Tang, Chong, Gao, Xuesong, Xu, Junfei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
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 |
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