Establishment of a Novel Risk Score System of Immune Genes Associated With Prognosis in Esophageal Carcinoma.

摘要: Background Few studies have addressed the role of immune-related genes in survival and prognosis different esophageal cancer (EC) sub-types. We established two new prognostic model indexes by bioinformatics analysis to select patients with squamous cell carcinoma (ESCC) adenocarcinoma (EAC) who may benefit from immunotherapy. Methods Based on TCGA ImmPort data sets, we screened immune differentially expressed between tumor normal tissues ESCC EAC analyzed relationship these patient outcomes. risk score models multivariate COX regression analysis. Results identified 12 11 associated clinical respectively, based which EC sub-types were constructed. It was found that probability high scores significantly lower than low (p < 0.001). BMP1, EGFR, S100A12, HLA-B, TNFSF18, IL1B, MAPT OXTR related sex, TNM stage or outcomes 0.05). In addition, correlated level B infiltration cells Conclusions The prognosis-related gene described herein prove be useful biomarkers they provide a reference direction for looking beneficiaries immunotherapy patients.