A novel pyroptosis-related model for prognostic prediction in esophageal squamous cell carcinoma: a bioinformatics analysis.

ABSTRACT:

Background

Esophageal squamous cell carcinoma (ESCC) has a poor prognosis, and the 5-year survival rate is less than 30%. Better differentiation of patients at high risk of recurrence or metastasis could guide clinical treatment. The close relationship between pyroptosis and ESCC has been recently reported. Herein, we aimed to identify genes associated with pyroptosis in ESCC and construct a prognostic risk model.

Methods

RNA-seq data of ESCC was obtained from the The Cancer Genome Atlas (TCGA) database. Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were used to calculate the pyroptosis-related pathway score (Pys). Weighted gene co-expression network analysis (WGCNA) and univariate Cox regression were used to screen for pyroptotic genes associate

SUBMITTER: Shi Q 

PROVIDER: S-EPMC10089844 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature