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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-10-01
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Series: | World Journal of Surgical Oncology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12957-020-02042-z |