Identification and Validation of an Autophagy-Related Gene Signature for Prognostic Prediction and Immunotherapy Response in Esophageal Squamous Cell Carcinoma.

ABSTRACT:

Purpose

Despite existing signatures, there remains a lack of robust autophagy-based biomarkers validated across multi-omics datasets and independent clinical cohorts in ESCC. The aim of our study was to develop an autophagy-related prognostic model for ESCC.

Methods

Using transcriptomic data of ESCC from GEO/TCGA and autophagy-related genes (ARGs) from five autophagy-specific datasets, we identified the intersection between ARGs and tumor-normal differentially expressed genes (DEGs). We constructed a prognostic model using stepwise multivariate Cox regression based on these genes in GSE53625 (n = 179), validated in TCGA-ESCC (n = 94) through survival analysis and ROC curve, and analyzed the prognostic value of candidate genes in in-house ESCC samples.

Result

SUBMITTER: Chen R 

PROVIDER: S-EPMC12897147 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature