Construction and analysis of hepatocellular carcinoma competing endogenous RNA network based on exosomal exoRBase2.0 database
Objective To construct the competitive endogenous RNA(ceRNA)regulatory network of blood exosomes in patients with hepatocellular carcinoma(HCC)based on biological big data,and to explore the pathogenesis of HCC.Methods The gene sequencing data of blood exosomes from HCC patients and normal individuals were downloaded from the exoRBase 2.0 database,and differential analysis was performed using R language.TargetScan,miRanda starBase databases and miRcode were utilized to predict miRNAs binding to mRNA,lncRNA and circRNA,and analyze their differential expression.Subsequently,the results were imported into Cytoscape software to construct the ceRNA network.Furthermore,GO and KEGG enrich-ment analyses were conducted,and the core genes were screened by CytoHubba plugin.The core genes were then imported into the UALCAN and Kaplan-Meier Plotter websites for gene expression and survival analysis.Additionally,T1MER2.0 website was used to analyze the immune infiltration.Results The GO analysis showed enrichment in bone marrow cell differentiation and striated muscle cell differentiation.The KEGG anal-ysis demonstrated enrichment in the oxytocin signaling pathway and the cGMP-PKG signaling pathway.Sur-vival analysis indicated that HCC patients with high CELF2 expression had significantly higher survival rates compared to those with low CELF2 expression.Immune infiltration analysis showed that high CELF2 expres-sion was significantly negatively correlated with tumor purity and positively correlated with various immune cells in HCC patients.Conclusion This study successfully constructed the ceRNA regulatory network of blood exosomes from HCC patients,elucidating the molecular mechanisms underlying the occurrence,metasta-sis and invasion of HCC.These findings provide theoretical support for the clinical diagnosis and treatment of HCC.
万方数据
维普
