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Dataset Information

Development and validation of a two glycolysis-related LncRNAs prognostic signature for glioma and in vitro analyses.


ABSTRACT:

Background

Mounting evidence suggests that there is a complex regulatory relationship between long non-coding RNAs (lncRNAs) and the glycolytic process during glioma development. This study aimed to investigate the prognostic role of glycolysis-related lncRNAs in glioma and their impact on the tumor microenvironment.

Methods

This study utilized glioma transcriptome data from public databases to construct, evaluate, and validate a prognostic signature based on differentially expressed (DE)-glycolysis-associated lncRNAs through consensus clustering, DE-lncRNA analysis, Cox regression analysis, and receiver operating characteristic (ROC) curves. The clusterProfiler package was applied to reveal the potential functions of the risk score-related differentially expressed genes (DE

SUBMITTER: Xu X 

PROVIDER: S-EPMC10290322 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature