Identification of a glycolysis‐related gene signature for survival prediction of ovarian cancer patients

Abstract Background Ovarian cancer (OV) is deemed the most lethal gynecological cancer in women. The aim of this study was to construct an effective gene prognostic model for predicting overall survival (OS) in patients with OV. Methods The expression profiles of glycolysis‐related genes (GRGs) and...

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Bibliographic Details
Main Authors: Dai Zhang, Yiche Li, Si Yang, Meng Wang, Jia Yao, Yi Zheng, Yujiao Deng, Na Li, Bajin Wei, Ying Wu, Zhen Zhai, Zhijun Dai, Huafeng Kang
Format: article
Language:EN
Published: Wiley 2021
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Online Access:https://doaj.org/article/f21e41a493894f62885d5ec701973153
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