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Dataset Information

Warburg effect-related risk scoring model to assess clinical significance and immunity characteristics of glioblastoma.


ABSTRACT:

Background

Glioblastoma (GBM), the most common primary malignant brain tumor, has a poor prognosis, with a median survival of only 14.6 months. The Warburg effect is an abnormal energy metabolism, which is the main cause of the acidic tumor microenvironment. This study explored the role of the Warburg effect in the prognosis and immune microenvironment of GBM.

Methods

A prognostic risk score model of Warburg effect-related genes (Warburg effect signature) was constructed using GBM cohort data from The Cancer Genome Atlas. Cox analysis was performed to identify independent prognostic factors. Next, the nomogram was built to predict the prognosis for GBM patients. Finally, the drug sensitivity analysis was utilized to find the drugs that specifically target Warburg effect-rela

SUBMITTER: Zhang R 

PROVIDER: S-EPMC10660605 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature