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

Luya CaiChuan HuShanshan YuLixiao LiuXiaobo YuJiahua ChenXuan LiuFan LinCheng ZhangWenfeng LiXiaojian Yan

Published in: BMC cancer (2020)

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.

Keyphrases

genome wide
copy number
genome wide identification
wastewater treatment
dna methylation
replacement therapy
bioinformatics analysis
drug induced