IDENTIFICATION OF HUB GENES ASSOCIATED WITH HEPATITIS B VIRUS-RELATED HEPATOCELLULAR CANCER USING WEIGHTED GENE CO-EXPRESSION NETWORK ANALYSIS AND PROTEIN-PROTEIN INTERACTION NETWORK ANALYSIS

Identification of hub genes associated with hepatitis B virus-related hepatocellular cancer using weighted gene co-expression network analysis and protein-protein interaction network analysis

Identification of hub genes associated with hepatitis B virus-related hepatocellular cancer using weighted gene co-expression network analysis and protein-protein interaction network analysis

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Background.Chronic hepatitis B virus (HBV) infection is the main pathogen of hepatocellular carcinoma.However, the mechanisms of HBV-related hepatocellular carcinoma (HCC) progression are practically unknown.Materials and Methods.

The results of RNA-sequence and clinical data for GSE121248 and GSE17548 were accessed from the Gene Expression Omnibus data library.We screened Sangerbox 3.0 for differentially expressed genes (DEGs).The weighted gene co-expression network analysis (WGCNA) was employed to select core modules and hub genes, and protein-protein whole wheat phyllo dough interaction network module analysis also played a significant part in it.

Validation was performed using RNA-sequence data of cancer and normal tissues of HBV-related HCC patients in the cancer genome atlas-liver hepatocellular cancer database (TCGA-LIHC).Results.787 DEGs were identified from GSE121248 and 772 DEGs were identified from GSE17548.WGCNA analysis indicated that black modules (99 genes) and grey modules (105 genes) were significantly associated with HBV-related HCC.

Gene ontology analysis found that there is a direct correlation between DEGs and the regulation of cell movement and adhesion; the internal components and external packaging structure of plasma membrane; signaling receptor binding, calcium ion binding, etc.Kyoto Encyclopedia of Genes and Genomes pathway analysis found out the association between cytokine receptors, cytokine-cytokine receptor interactions, and viral protein interactions with cytokines were important and HBV-related HCC.Finally, we further validated 6 key genes including C7, EGR1, EGR3, FOS, FOSB, and prostaglandin-endoperoxide synthase 2 by using the TCGALIHC.Conclusions.

We identified 6 wella color charm 050 cooling violet hub genes as candidate biomarkers for HBV-related HCC.These hub genes may act as an essential part of HBV-related HCC progression.

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