Background and Objective:Hepatocellular carcinoma (HCC) remains a significant
global health concern. However, the etiology and pathogenesis of HCC have yet to be fully elucidated.
Previous studies have indicated a close association between obesity and the occurrence and
progression of HCC. The objective of this study was to employ bioinformatics strategies in order
to explore key genes associated with the clinical diagnosis and prognosis of HCC induced by a
Western high-fat diet and sugar water (HFD/SW).Materials and Methods:We obtained the expression profile chip data GSE197884 from the Gene
Expression Omnibus (GEO) database. Subsequently, “DESeq” and “Limma” R packages were employed
to identify differentially expressed genes (DEGs) while constructing a co-expressed gene
network using weighted gene co-expression analysis (WGCNA). Functional enrichment analyses
were then carried out, followed by the construction of a protein-protein interaction (PPI) network
to uncover core genes. The core genes were confirmed through data retrieved from The Cancer
Genome Atlas (TCGA) database in order to determine their status as hub genes. Finally, survival
and tumor immune infiltration analyses were performed to unveil the prognostic significance of these
hub genes.Results:In total, 126 intersection targets were retrieved through the Venn diagram. Gene ontology
(GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed
that the DEGs were primarily related to the proliferation and apoptosis of HCC cells, the digestion
and metabolism of liver cells, the HCC tumor microenvironment, and immune response.
The PPI network analysis identified 11 core targets, among which seven hub genes, including NSDHL,
MVK, SQLW, GCAT, ALAS2, GLDC, and AGXT, were obtained after TCGA database validation.
Furthermore, it was found that NSDHL was closely associated with the clinical diagnosis
and prognosis of HCC induced by HFD/SW and also affected the cellular immune infiltration in
the HCC tumor microenvironment.Conclusion:The present study demonstrated a significantly elevated expression of NSDHL in
HCC tissues, suggesting its potential as a specific biomarker for precise clinical diagnosis and
prognosis assessment of HCC induced by HFD/SW.