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Dataset Information

Comprehensive analysis of the clinical and biological significances of cholesterol metabolism in lower-grade gliomas.


ABSTRACT:

Background

As a component of membrane lipids and the precursor of oxysterols and steroid hormones, reprogrammed cholesterol metabolism contributes to the initiation and progression of multiple cancers. Thus, we aim to further investigate the significances of cholesterol metabolism in lower-grade gliomas (LGGs).

Methods

The present study included 413 LGG samples from TCGA RNA-seq dataset (training cohort) and 172 LGG samples from CGGA RNA-seq dataset (validation cohort). The cholesterol metabolism-related signature was identified by the LASSO regression model. Bioinformatics analyses were performed to explore the functional roles of this signature in LGGs. Kaplan-Meier and Cox regression analyses were enrolled to estimate prognostic value of the risk signature.

Results

SUBMITTER: Tao R 

PROVIDER: S-EPMC10364387 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature