A prognostic model for hepatocellular carcinoma based on apoptosis-related genes

Abstract Background Dysregulation of the balance between proliferation and apoptosis is basis for human hepatocarcinogenesis. In many malignant tumors, such as hepatocellular carcinoma (HCC), there a correlation apoptotic dysregulation poor prognosis. However, prognostic values apoptosis-related genes (ARGs) in HCC have not been elucidated. Methods To screen differentially expressed ARGs, expression levels 161 ARGs from The Cancer Genome Atlas (TCGA) database ( https://cancergenome.nih.gov/ ) were analyzed. Gene Ontology (GO) enrichment Kyoto Encyclopedia Genes Genomes (KEGG) pathway analyses performed to evaluate underlying molecular mechanisms HCC. established using Cox regression, subsequently, risk model scoring patients was developed. Kaplan–Meier (K-M) receiver operating characteristic (ROC) curves plotted determine value model. Results Compared with normal tissues, 43 highly upregulated 8 downregulated tissues screened. GO analysis results revealed that these 51 are indeed related function. KEGG correlated MAPK, P53, TNF, PI3K-AKT signaling pathways, while regression 5 (PPP2R5B, SQSTM1, TOP2A, BMF, LGALS3) associated prognosis were, therefore, obtained develop Based on median scores, categorized into high-risk low-risk groups. Patients groups exhibited significantly elevated 2-year or 5-year survival probabilities p < 0.0001). had better clinical potency than other characteristics, area under ROC curve (AUC = 0.741). nomogram. Conclusion differential we novel predicting This can also be used inform individualized treatment patients.