Identification and validation of a six-gene signature associated with glycolysis to predict the prognosis of patients with cervical cancer.

ABSTRACT:

Background

Cervical cancer (CC) is one of the most common gynaecological cancers. The gene signature is believed to be reliable for predicting cancer patient survival. However, there is no relevant study on the relationship between the glycolysis-related gene (GRG) signature and overall survival (OS) of patients with CC.

Methods

We extracted the mRNA expression profiles of 306 tumour and 13 normal tissues from the University of California Santa Cruz (UCSC) Database. Then, we screened out differentially expressed glycolysis-related genes (DEGRGs) among these mRNAs. All patients were randomly divided into training cohort and validation cohort according to the ratio of 7: 3. Next, univariate and multivariate Cox regression analyses were carried out to select the GRG with predic

SUBMITTER: Cai L 

PROVIDER: S-EPMC7686733 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature