Identification of a novel glycolysis-related signature to predict the prognosis of patients with breast cancer

Abstract Background Breast cancer (BC) has a high incidence and mortality rate in females. Its conventional clinical characteristics are far from accurate for the prediction of individual outcomes. Therefore, we aimed to develop a novel signature to predict the survival of patients with BC. Methods...

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Bibliographic Details
Main Authors: Menglin He, Cheng Hu, Jian Deng, Hui Ji, Weiqian Tian
Format: Article
Language:English
Published: BMC 2021-10-01
Series:World Journal of Surgical Oncology
Subjects:
Online Access:https://doi.org/10.1186/s12957-021-02409-w