Prognostic risk model of hepatocellular carcinoma developed and validated based on pyroptosis and immune-related genes
Objective:Bioinformatics methods was used to develop and validate a prognostic risk model of pyroptosis and immune-related genes in hepatocellular carcinoma,and to explore immune correlated features based on the risk scores to guide person-alised immunotherapy.Methods:TCGA-LIHC and GSE14520 gene expression profiles were downloaded from TCGA and GEO official websites respectively,and immune-related genes were downloaded from INNATEDB and IMMPORT websites.TCGA as the training group and GEO as the test group,Cox regression analysis was performed on expression profile of pyroptosis gene in training group.Selected prognostic related genes for consensus clustering,and extracted the intersection genes between difference genes and immune-related genes.Univariate Cox and Lasso regression analysis were applied to the intersection genes to obtain the prognosis related risk model.High-and low-risk groups were divided according to the median risk of training group,and the feasibility of model was verified by the test group.Finally,the enrichment analysis(GO,KEGG,GSEA),immune correlation analysis and model gene,protein ex-pression of training group were discussed.Results:Nine reliable risk model genes were screened(ICAM1,S100P,FABP3,CCL20,HRG,IGHM,SPP1,C4BPA,C6).GO enrichment analysis showed that risk differential genes mainly existed in various metabolic processes.KEGG enrichment analysis showed that risk differential genes were mainly involved in complement and coagulation cascade signal pathways.CSEA showed that high-risk group was closely related to the activation of carcinogenic pathway.High-and low-risk groups have significant differences in immune infiltration,immune related pathways and immune checkpoints.HPA database showed that there were significant differences in immunohistochemical expression of ICAM1,S100P and SPP1 model genes.Conclusion:The risk model composed of 9 genes may become a potential biomarker related to the occurrence,development and prognosis of hepatocel-lular carcinoma,and provide new clues for optimizing the diagnosis and treatment of hepatocellular carcinoma.