Analysis of potential core genes and key pathways in hepatocellular carcinoma based on bioinformatics
Objective To explore the potential core genes and key pathways in hepatocellular carcinoma(HCC)based on bioinformatics analysis,and provide new ideas for the diagnosis and treatment of HCC.Methods This study utilized the Gene Expression Omnibus(GEO)database to download datasets,and identified differentially expressed genes(DEGs)through the GEO2R online tool and Venn diagram tool.The STRING database and Cytoscape software were then employed to conduct protein-protein interaction(PPI)network analysis and screen out the core DEGs.Finally,the GEPIA2 online tool was used to analyze the prognosis-related core genes.Results In this study,210 differentially expressed genes(DEGs)were screened from three data sets,including 143 co-down-regulated genes and 67 co-up-regulated genes.Protein-protein interaction(PPI)network analysis was carried out on the common DEGs,and 10 core genes were screened out.GEPIA2 analysis showed that the core gene was not only related to the infiltration of immune cells in HCC,but also related to the expression level in different pathological stages of HCC(P<0.05).Survival analysis was performed on the 10 selected core genes,and the results showed that 6 genes were associated with the prognosis of HCC.Conclusion The core genes and pathways screened in this study may be used as potential prognostic biomarkers and immunotherapy targets for HCC.
万方数据
维普
