Transcriptomic Characterization of Copper-Binding Proteins for Predicting Prognosis in Glioma.

ABSTRACT:

Background

Copper and copper-binding proteins are key components of tumor progression as they play important roles in tumor invasion and migration, but their associations in gliomas remain unclear.

Methods

Transcriptomic datasets of glioblastoma, low-grade glioma, and normal brain cortex were derived from the TCGA and GTEX databases. Differentially expressed genes (DEGs) of copper-binding proteins were screened and used to construct a prognostic model based on COX and LASSO regression, which was further validated by the CGGA datasets. The expressions of risk-model genes were selectively confirmed via anatomic feature-based expression analysis and immunohistochemistry. The risk score was stratified by age, gender, WHO grade, IDH1 mutation, MGMT promoter methylation, and 1p/19

SUBMITTER: Zeng HL 

PROVIDER: S-EPMC10605646 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature