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

Abstract

We constructed a glycolysis-related six-gene signature to predict the prognosis of patients with CC using bioinformatics methods. We provide a thorough comprehension of the effect of glycolysis in patients with CC and provide new targets and ideas for individualized treatment.