Objective To construct and investigate a prognostic-related competitive endogenous RNA network in hepato-cellular carcinoma and explore its clinical implications.Methods The genetic RNA,mRNA sequencing data,and clini-cal data for HCC were obtained from the UCSC Xena database.Firstly,differential expression and survival analyses were used to identify high-risk genes.The KS test,logistic regression,and univariate and multivariate Cox regression analyses were used to determine the potential of these genes as independent prognostic factors.The associated biological pathways were analyzed by gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis.Af-ter that,ENCORI was used to predict miRNA target genes.The ceRNA network was constructed using the Cytoscape tool.Results A direct regulatory relationship was found between hsa-miR-101-3p and 25 lncRNAs,with 6 lncRNAs i-dentified as competitive binders to miRNAs.Among them,GSEC exhibited the strongest correlation with the co-expres-sion of hsa-miR-101-3p and STIP1(r=-0.380,r=0.490),suggesting its potential role as a regulatory axis in regula-ting hepatocellular carcinoma proliferation,invasion,and apoptosis.Conclusion The regulatory network of STIP1/hsa-miR-101-3p/lncRNA GSEC identified in hepatocellular carcinoma provides valuable insights into the molecular biological mechanisms of HCC,and lncRNA may serve as a potential prognostic biomarker for HCC patients.
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