Identification of a glycolysis-related gene signature for predicting prognosis in patients with hepatocellular carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is the most common primary liver cancer in the world. Although great advances in HCC diagnosis and treatment have been achieved, due to the complicated mechanisms in tumor development and progression, the prognosis of HCC is still dismal. Recent studies have revealed that the Warburg effect is related to the development, progression and treatment of various cancers; however, there have been a few explorations of the relationship between glycolysis and HCC prognosis.

Methods

mRNA expression profiling was downloaded from public databases. Gene set enrichment analysis (GSEA) was used to explore glycolysis-related genes (GRGs), and the LASSO method and Cox regression analysis were used to identify GRGs related to HCC prognosis and to con

SUBMITTER: Kong J 

PROVIDER: S-EPMC8817563 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature