摘要
Abstract
Objective:To construct a prognostic risk model for patients with HCC based on angiogenesis-related genes(ARGs),aiming to provide strategies for prognosis and treatment of HCC.Methods:We downloaded expression profiles and corresponding clinical information of 50 normal samples and 374 HCC samples from the TGGA database,and expression profiles and clinical information of 48 normal liver tissues and 294 HCC tissues from the ICGC database.A total of 225 ARGs were collected from the Harmonizome and MSigDB databases as a gene set and screened for differentially expressed genes(DEGs)using the DESeq2 package.Univariate Cox regression analysis were used to determine the genes significantly associated with patient survival prognosis,and finally a prognostic risk model was constructed.The model's ability to predict the prognosis of HCC patients was evaluated using ROC curves.Results:A total of 225 ARGs were screened from Harmonizome and MSigDB databases,of which 137 ARGs were significantly differential expressed in both the TCGA-LIHC and ICGC-LIHC datasets.Univariate Cox regression analysis of 82 upregulated ARGs and 55 downregulated ARGs in both datasets identified 11 prognostic genes(F7,NARS,EMCN,SLCO2A1,EGF,ITGAV,KDR,PTPRB,SPP1,ANGPT2,BIRC5).The OS of high risk group was significantly lower than that of low risk group(P＜0.05).In the TCGA-LIHC dataset and ICGC-LIHC dataset,11 prognostic related genes were correlated with the prognosis of HCC patients(P＜0.05),among which those with high expression of ANGPT2,BIRC5,EGF,ITGAV,SPP1 and NARS had worse prognosis.Those with low expression of SLCO2A1,EMCN,F7,KDR and PTPRB had worse prognosis.In GSE116174,four prognostic related genes were associated with the prognosis of liver cancer patients(P＜0.05),among which those with high expression of ANGPT2,BIRC5 and SPP1 had worse prognosis,and those with low expression of SLCO2A1 had worse prognosis.In GSE14520,7 prognostic genes were associated with the prognosis of liver cancer patients(P＜0.05),among which those with high expression of ANGPT2,EGF and SPP1 had worse prognosis,and those with low expression of F7,SLCO2A1,KDR and PTPRB had worse prognosis.Conclusion:This study established a prognostic model comprising 11 prognostic genes based on the TCGA and ICGC databases,serving as potential targets for liver cancer research.关键词
肝细胞癌/基因/血管生成/预测模型/风险评分Key words
Hepatocellular carcinoma/Genes/Angiogenesis/Prediction model/Risk score分类
医药卫生
