Characterization of the Immune Infiltration Landscape and Identification of Prognostic Biomarkers for Esophageal Cancer.

ABSTRACT: Immunotherapy is an effective treatment for esophageal cancer (ESCA) patients. However, there are no dependable markers for predicting prognosis and immunotherapy responses in ESCA. Our study aims to explore immune gene prognostic models and markers in ESCA as well as predictors for immunotherapy. The expression profiles of ESCA were obtained from The Cancer Genome Atlas (TCGA), the Gene Expression Omnibus (GEO), and International Cancer Genome Consortium (ICGC) databases. Cox regression analysis was performed to construct an immune gene prognostic model. ESCA was grouped into three immune cell infiltration (ICI) clusters by CIBERSORT algorithm. The immunotherapy response of patients in different ICI score clusters was also compared. The copy number variations, somatic mutations, and singl

SUBMITTER: Chen Y 

PROVIDER: S-EPMC9935668 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature