Identification of pyroptosis subtypes and prognosis model of hepatocellular carcinoma based on pyroptosis‐related genes

Abstract

Abstract Background Hepatocellular carcinoma (HCC) is a common malignant tumor with poor prognosis. Pyroptosis, a type of programmed cell death, regulates tumor cell development. However, the role of pyroptosis‐related genes (PRGs) in HCC and their association with prognosis are unclear. Methods We conducted bioinformatics analysis to identify PRGs in The Cancer Genome Atlas‐Liver Hepatocellular Carcinoma (TCGA‐LIHC) patients. Consensus clustering classified patients into different subtypes. We used LASSO regression to established a pyroptosis subtype‐related score (PSRS) related to prognosis. OncoPredict identified potential pharmaceuticals based on PSRS. Results We found 20 HCC‐related PRGs in 335 TCGA‐LIHC patients. Consensus clustering classified patients into two subtypes. Subtype I had better overall survival and higher response to anti‐PD1 treatment. The prognostic model involving 20 genes predicted poorer prognosis for high‐PSRS group. The model was validated in two external cohorts. OncoPredict identified 65 potential pharmaceuticals based on PSRS. Conclusion Our investigation revealed a correlation between pyroptosis and HCC. We established PSRS as independent risk factors for predicting prognosis. The study paves the way for using PRGs as prognostic biomarkers and exploring personalized therapy for HCC.

Keywords

• hepatocellular carcinoma
• multiomic analysis
• prognosis model
• pyroptosis subtype