Screening of Key Hub Genes in Hepatocellular Carcinoma and Their Prognostic Value Based on Integrated Bioinformatics Analysis

Le résumé fourni par la source

This study aimed to screen key genes associated with hepatocellular carcinoma (HCC) using integrated bioinformatics methods and evaluate their prognostic significance. Public transcriptome datasets were utilized to conduct differential expression analysis, functional enrichment analysis, immune infiltration analysis, and protein-protein interaction network analysis for hub gene screening. Gene expression characteristics were validated in combination with the TCGA cohort, and a prognostic risk model was constructed to assess its predictive value. Differentially expressed genes were mainly enriched in processes related to cell proliferation and cell cycle. Hub genes screened through network analysis were significantly highly expressed in HCC and correlated with poor prognosis in patients. The risk score model constructed based on these genes exhibited certain efficacy in survival prediction. The HCC-related hub genes identified in this study may be involved in the regulation of tumor progression and possess potential prognostic value, providing a reference for the research of molecular markers in HCC.

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