Construction and validation of a cuproptosis-related prognostic model for glioblastoma.

ABSTRACT:

Background

Cuproptosis, a newly reported type of programmed cell death, takes part in the regulation of tumor progression, treatment response, and prognosis. But the specific effect of cuproptosis-related genes (CRGs) on glioblastoma (GBM) is still unclear.

Methods

The transcriptome data and corresponding clinical data of GBM samples were downloaded from the TCGA and GEO databases. R software and R packages were used to perform statistical analysis, consensus cluster analysis, survival analysis, Cox regression analysis, Lasso regression analysis, and tumor microenvironment analysis. The mRNA and protein expression levels of model-related genes were detected by RT-qPCR and Western blot assays, respectively.

Results

The expression profile of CRGs in 209 GBM samples from

SUBMITTER: Zhang B 

PROVIDER: S-EPMC9939522 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature