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Prognostic Significance and Therapeutic Potential of BUB1B, CCNB2, DLGAP5, and ZWINT in Hepatocellular Carcinoma: An Analysis Based on GEO and TCGA Databases

Xiang Li, Gang Wu

Abstract


Background: Primary liver cancer, particularly hepatocellular carcinoma (HCC), remains a highly lethal malignancy with a low
five-year survival rate. Despite advancements in liver surgery, tumor recurrence and metastasis are prevalent, necessitating new biomarkers
for prognosis and therapeutic targeting. This study aimed to identify and evaluate the prognostic significance of differentially expressed genes
(DEGs) in HCC using data from GEO and TCGA databases. Methods: Gene expression profiles from multiple GEO datasets (GSE17548,
GSE45436, GSE55092, GSE60502, and GSE84402) and the TCGA database were analyzed. DEGs between tumor and adjacent normal tissues were identified using the Limma package. The prognostic significance of these genes was assessed through univariate and multivariate
Cox regression analyses, Kaplan-Meier survival analysis, and receiver operating characteristic (ROC) curve analysis. Functional enrichment
and immune infiltration analyses were conducted using Gene Ontology (GO), Gene Set Enrichment Analysis (GSEA), and the CIBERSORT
algorithm. Results: Twenty-four DEGs, including BUB1B, CCNB2, DLGAP5, and ZWINT, were identified. These genes were significantly
overexpressed in HCC tissues compared to normal tissues. High expression levels of BUB1B, CCNB2, DLGAP5, and ZWINT were associated with poor overall survival and progression-free survival. Functional analysis revealed their involvement in key biological processes and
pathways. Immune infiltration analysis indicated significant correlations between these gene expressions and various immune cell types,
suggesting their roles in the tumor immune microenvironment. Drug sensitivity analysis identified potential therapeutic compounds targeting
these genes. Conclusion: BUB1B, CCNB2, DLGAP5, and ZWINT are significantly overexpressed in HCC and serve as potential prognostic
biomarkers and therapeutic targets. Their high expression levels correlate with poor prognosis and reduced efficacy of immunotherapy, highlighting their clinical relevance in HCC management. Future studies should further investigate these genes at the protein level and through
functional experiments to validate their roles in HCC progression and treatment.

Keywords


Hepatocellular carcinoma; Biomarkers; Gene expression; Prognosis; Immune infiltration; Bioinformatics

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References


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DOI: http://dx.doi.org/10.70711/pmr.v3i7.9420

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