Development and validation of a prognostic model for esophageal carcinoma based on immune microenvironment using system bioinformatics.

ABSTRACT: Esophageal cancer (EC) is an aggressive malignancy that accounts for numerous cancer-related deaths worldwide. The multimodal combination therapy approach can be potentially used to treat EC effectively. However, distinct biomarker of significant specificity are still needed to develop individualized treatment strategies and provide accurate prognostic predictions. Therefore, we aimed to investigate the associated genes subtypes identified were, IFN-γDominant, Inflammatory, Lymphocyte Depleted, etc. and construct a risk model based on these genes to predict the overall survival (OS) of patients suffering from EC. Three immune subtypes were defined in the Cancer Genome Atlas (TCGA) cohort with different tumor microenvironment (TME) and clinical outcomes based on radio-differentiated immune

SUBMITTER: Fu C 

PROVIDER: S-EPMC9883539 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature