Identification of key genes unique to the luminal a and basal-like breast cancer subtypes via bioinformatic analysis

Abstract Background Breast cancer subtypes are statistically associated with prognosis. The search for markers of breast tumor heterogeneity and the development of precision medicine for patients are the current focuses of the field. Methods We used a bioinformatic approach to identify key disease-c...

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Bibliographic Details
Main Authors: Rong Jia, Zhongxian Li, Wei Liang, Yucheng Ji, Yujie Weng, Ying Liang, Pengfei Ning
Format: Article
Language:English
Published: BMC 2020-10-01
Series:World Journal of Surgical Oncology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12957-020-02042-z