Deciphering the Prognostic Landscape of Esophageal Adenocarcinoma: A PANoptosis-Related Gene Signature.

ABSTRACT: Backgrounds: Esophageal adenocarcinoma (EAC) remains a challenging malignancy with low survival rates despite advances in treatment. Understanding the molecular mechanisms and identifying reliable prognostic markers are crucial for improving clinical outcomes. Methods: We conducted a comprehensive bioinformatics analysis utilizing TCGA, GTEx, and GEO datasets to identify PANoptosis-related genes (PRGs) associated with EAC. From this analysis, we developed a prognostic risk score model based on 8 prognostically significant differentially expressed PRGs. This model was externally validated and compared with traditional staging methods. Functional analyses, including gene expression profiling, pathway enrichment analysis, and immune infiltration assessment, were conducted to elu

SUBMITTER: Fu H 

PROVIDER: S-EPMC11660136 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature