Establishment and verification of a prognostic risk score model based on immune genes for hepatocellular carcinoma in an Asian population

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, with the highest incidence in East Asia, and hepatitis B virus (HBV) infection is the most common cause of HCC in Asian population. The immune system is closely related to the development of HCC and plays an important role in the treatment of this disease. In this study, we analyzed the data of HCC from The Cancer Genome Atlas (TCGA) database and constructed a risk-score prognostic model based on immune genes of an Asian HCC population, aiming to provide new perspectives for clinical treatment and management of HCC in Asian population. METHODS: Data concerning clinical attributes and transcriptomic profiles of individuals in the Asian population diagnosed with HCC were retrieved from the TCGA database. Concurrently, immune-related genes were sourced from the Immport database for incorporation into our analysis. A total of 265 immune-related genes displaying differential expression were identified through wilcoxTest analysis in R. Further refinement using univariate and multivariate Cox regression analysis led to the identification of 15 genes that exhibited strong associations with prognosis. MICB/PSMD14/TRAF3/SP1/NDRG1/HDAC1/HRAS/NRAS/SEMA5B/GMFB/ACVR2B/BRD8/MMP12/KITLG/DCK, and a prognostic risk score model was constructed based on the above genes. RESULTS: The findings demonstrated notable differences in survival rates between the low-risk and high-risk groups, as depicted by the Kaplan-Meier (K-M) survival curves (P<0.001). Furthermore, the model’s predictive capability was evidenced by receiver operating characteristic (ROC) curves, with area under the curve (AUC) =0.901. Finally, the relationship of the model with each clinical trait and immune cells was assessed by correlation analysis. CONCLUSIONS: The prognostic risk score model constructed by immune genes based on the Asian HCC population has certain predictive capacity.