Identification of a five-immune gene model as an independent prognostic factor in hepatocellular carcinoma

Abstract Background Hepatocellular carcinoma (HCC) is a common malignant tumor with poor prognosis. We aimed to identify new prognostic model of HCC based on differentially expressed (DE) immune genes. Methods The DE genes were identified an analysis 374 cases and 50 adjacent non-tumor specimens from the Cancer Genome Atlas (TCGA) database. Univariate Cox analysis, Lasso regression, multivariate used construct training group. Survival receiver operating characteristic (ROC) curves evaluate performance. testing group entire subsequently for validation model. Results A five-immune gene consisted HSPA4, ISG20L2, NDRG1, EGF, IL17D was identified. Based model, overall survival significantly different between high-risk low-risk groups ( P = 7.953e-06). AUCs at 1- 3-year 0.849 0.74, respectively. reliability confirmed using groups. risk score as independent parameter closely related content cells human specimens. Conclusion that can be marker HCC.