ArticleScientific reports2024
Discovering the lipid metabolism-related hub genes of HCC-treated samples with PPARα agonist through weighted correlation network analysis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The multifaceted roles of the ACSL family in cancer: Metabolic reprogramming, ferroptosis regulation and tumour immune microenvironment remodelling.Clinical and translational medicine · 2026Review
- SLC27, solute carrier 27 family, a long-chain fatty acid membrane transporters, in human cancers.Frontiers in cell and developmental biology · 2026Review
- Single-cell RNA sequencing unveils macrophage heterogeneity and cell-cell interactions in hepatocellular carcinoma progression.Frontiers in genetics · 2026Article
- Unveiling the role of IL7R in metabolism-associated fatty liver disease leading to hepatocellular carcinoma through transcriptomic and machine learning approaches.Discover oncology · 2025Article
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Authors and funding
3 authors.
Funding
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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.
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