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

Dai ZhangYiche LiSi YangMeng WangJia YaoYi ZhengYujiao DengNa LiBajin WeiYing WuZhen ZhaiZhi-Jun DaiHuafeng Kang
Published in: Cancer medicine (2021)
Our study established a nine-GRG risk model and nomogram to better predict OS in patients with OV. The risk model represents a promising and independent prognostic predictor for patients with OV. Moreover, our study on GRGs could offer guidance for the elucidation of underlying mechanisms in future studies.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • dna methylation
  • copy number