A Prognostic Model for Brain Glioma Patients Based on 9 Signature Glycolytic Genes.

ABSTRACT:

Objective

To screen glycolytic genes linked to the glioma prognosis and construct the prognostic model.

Methods

The relevant data of glioma were downloaded from TCGA and GTEx databases. GSEA of glycolysis-related pathways was carried out, and enriched differential genes were extracted. Screening out prognostic-related genes with conspicuous significance and construction of the prognostic model were conducted by multivariate Cox regression analysis and Lasso regression analysis. The model was evaluated, and cBioPortal was used to analyze the mutation of the model gene. The expression of the model gene in tumor and normal colon tissue was analyzed. The model was used to evaluate the prognosis of patients in different groups to verify the applicability of the model.

Results<

SUBMITTER: Bingxiang X 

PROVIDER: S-EPMC8225435 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature