Characterization of pyroptosis-related genes in esophageal cancer and construction of a prognostic model.

OBJECTIVE: Esophageal cancer (EC) is a highly malignant digestive system tumor that often lacks evident early symptoms and has a poor prognosis. Pyroptosis, a form of programmed cell death, has been shown to be associated with the occurrence and progression of many malignancies. However, its role in esophageal cancer remains unclear. This work aimed to evaluate the prognostic value of pyroptosis-related genes (PRGs) in EC using data from The Cancer Genome Atlas (TCGA) cohort. MATERIALS AND METHODS: The RNA-seq data from 171 esophageal samples in the TCGA database were employed. Differential expression genes (DEGs) between tumor and non-tumor samples were compared. Protein-protein interaction (PPI) networks were constructed using the STRING database, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and Gene Ontology (GO) analyses were performed using the “clusterProfiler” package in R. Furthermore, based on the DEGs, all esophageal cancer cases were classified into three subtypes. A risk model for gene features was established using the LASSO regression method, and EC patients in the TCGA cohort were divided into high-risk and low-risk groups. RESULTS: A total of 614 PRGs were identified. Among them, 32 DEGs (31 upregulated and 1 downregulated) were found between normal esophageal tissue and EC tissue. PPI analysis identified key genes including IL-1β, CASP1, AIM2, HMGB1, GSDMD, PYCARD, IL-18, BAK1, and TP53. On the other hand, the low-risk group exhibited a significantly higher survival rate than the high-risk group (p < 0.001). Combined with the clinical characteristics of the TCGA cohort, it was found that the risk score was an independent prognostic factor for overall survival (OS) prediction in EC patients. KEGG and GO analyses revealed the enrichment of genes associated with cell proliferation in the high-risk group. CONCLUSIONS: PRGs play a crucial role in the occurrence and development of EC and can be used to predict the prognosis of EC patients. [ABSTRACT FROM AUTHOR]