Ontology highlight
ABSTRACT: Background
Few studies have addressed the role of immune-related genes in the survival and prognosis of different esophageal cancer (EC) sub-types. We established two new prognostic model indexes by bioinformatics analysis to select patients with esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) who may benefit from immunotherapy.Methods
Based on TCGA and ImmPort data sets, we screened immune genes differentially expressed between tumor and normal tissues in ESCC and EAC and analyzed the relationship between these genes and patient survival outcomes. We established the risk score models of immune-related genes in ESCC and EAC by multivariate COX regression analysis.Results
We identified 12 and 11 immune-related differentially expressed ge
SUBMITTER: Fei Z
PROVIDER: S-EPMC8042266 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature