Discovering the lipid metabolism-related hub genes of HCC-treated samples with PPARα agonist through weighted correlation network analysis

Abstract

Abstract Liver cancer is the 4th most lethal form of cancer with a poor prognosis for patients worldwide. Dysregulation of lipid metabolism is related to FA oxidation alternation which can be modified by peroxisome proliferator-activated receptor-α (PPARα). Therefore, it is important to identify the lipid metabolism-related genes regulated by PPARα in liver cancer. Hub genes related to the lipid metabolism pathway of HCC samples treated with PPARα agonist (WY-14,643) were identified through a weighted gene co-expression network analysis (WGCNA). Gene expression and clinical information were obtained from the Gene Expression Omnibus (GEO) database. The network of top main hub genes was visualized by the Cytoscape software using MCODE and CytoHubba plugins. Finally, the expression and clinical association of each hub gene were evaluated using enrichment analysis, TCGA data, GEPIA, GSCA, and q-PCR. Based on our results, the top 5 co-expressed genes including (CPT2, ACSL1, ACSL3, ACOX1, and SLC27A2) were selected as the main hub genes participating in fatty acid metabolism, fatty acid beta-oxidation, and PPAR signaling pathway. All association of higher ACSL3 expression with lower outcomes and survival rates was detected in HCC patients. Therefore, lipid metabolism-related Hub genes regulated by PPARα are potential biomarkers, and they may offer a therapeutical foundation for targeted therapy directed against the HCC antitumor strategy.

Keywords

• HCC
• WGCNA
• PPARα agonist
• Lipid metabolism
• ACSL3