Identification of immune subtypes associated with CD8+ T cell-related genes providing new treatment strategies of esophageal carcinoma.

ABSTRACT:

Background

CD8+ T lymphocytes greatly affect the efficacy of immunotherapy, displaying promising potential in various tumors. Here, we aimed to identify immune subtypes associated with CD8+ T cell-related genes to predict the efficacy of treatment in esophageal cancer (ESCA).

Methods

We obtained 13 immune cell-related datasets from the Gene Expression Omnibus (GEO) database and removed batch effects. Weighted correlation network analysis (WGCNA) and co-expression analysis were performed to identify highly correlated CD8+ T cell genes. Cox analysis was used to process ESCA clinical information, and the immune clusters (ICs) were constructed through consensus cluster analysis. Furthermore, we constructed an immune risk score model to predict the prognosis of ESCA based on thes

SUBMITTER: Wu Y 

PROVIDER: S-EPMC11903738 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature