Construction of a Risk Score Prognosis Model for Hepatocellular Carcinoma Based on Pyroptosis Related Genes

Abstract

Background: In this study, a prognostic model based on pyroptosis-related genes was established to predict overall survival (OS) in patients with hepatocellular carcinoma(HCC).Methods: The gene expression data and clinical information of HCC patients were acquired from The Cancer Genome Atlas (TCGA). Using bioinformatics analysis, this predictive signature was constructed and validated. The performance of predictive signature was assessed by the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC). Results: A total of 3 pyroptosis-related genes (BAK1, GSDME, and NOD2) were used to construct a survival prognostic model, and experimental validation performed using an experimental cohort. The prognosis model exhibited good performance based on the AUC (AUC: 0.826 at 1 years, 0.796 at 3 years, 0.867 at 5 years). The calibration plots showed excellent calibration.Conclusion: In this study, a novel prognostic model based on three pyroptosis-related genes is constructed and used to predict the prognosis of HCC patients. The model can accurately and conveniently predict the 1- 3-and 5-year OS of HCC patients.