A Pyroptosis-Related Gene Signature for Predicting Survival in Glioblastoma.

ABSTRACT:

Background

In this study, a prognostic model based on pyroptosis-related genes was established to predict overall survival (OS) in patients with glioblastoma (GBM).

Methods

The gene expression data and clinical information of GBM patients were obtained from The Cancer Genome Atlas (TCGA), and bioinformatics analysis of differentially expressed genes was performed. LASSO Cox regression model was used to construct a three-pyroptosis-related gene signature, and validation was performed using an experimental cohort.

Results

A total of three pyroptosis-related genes (CASP4, CASP9, and NOD2) were used to construct a survival prognostic model, and experimental validation was performed using an experimental cohort. Receiver operating characteristic (ROC)

SUBMITTER: Li XY 

PROVIDER: S-EPMC8416108 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature