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Mechanism of atorvastatin in treating hepatocellular carcinoma: a study based on network pharmacology, molecular
1Department of Gastroenterology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China.
Abstract:
Hepatocellular carcinoma (HCC) is a tumor with high morbidity and mortality. Current research suggests that statins may aid in its prevention and treatment, while studies on the associated mechanisms remain limited. Therefore, we aim to reveal the mechanism of atorvastatin treatment for HCC by using network pharmacology and bioinformatics methods. The databases SwissTargetPrediction, PharmMapper, and DrugBank were utilized to obtain targets of atorvastatin, while GSE169289, GSE135631, and GSE207435 were used to identify differentially expressed genes (DEGs) for HCC. The overlap between the two groups was used to identify atorvastatin's target for treating HCC. Following protein-protein interaction (PPI) analysis, hub genes were identified using Cytoscape software and LASSO analysis. The hub genes were further validated using data from The Cancer Genome Atlas (TCGA) and The Human Protein Atlas (HPA) databases. To evaluate the clinical significance of the hub genes, Kaplan-Meier (KM) survival analysis and Cox analysis were conducted. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) were performed to investigate potential mechanisms. Finally, molecular docking analysis was performed to validate the interaction between atorvastatin and the hub genes. A total of 1948 DEGs of HCC and 380 targets of atorvastatin were identified, respectively. After taking the intersection, 79 genes were identified as potential targets of atorvastatin for HCC treatment. After multiple screening methods, CYP2C9 was ultimately identified as the hub gene. Analysis of data from TCGA and HPA databases showed reduced expression of CYP2C9 in HCC tissues. KM and Cox analysis showed a favorable prognosis for HCC patients with high CYP2C9 expression. KEGG and GSEA indicated that metabolism of xenobiotics by cytochrome P450, and PPAR signaling pathway could be the potential mechanisms for atorvastatin in treating HCC. Molecular docking analysis revealed that atorvastatin binds to CYP2C9 with a binding energy of - 8.837, indicating highly stable binding. CYP2C9 is associated with the prognosis of HCC patients and could serve as a potential target for atorvastatin treatment in HCC.
Insights
Atorvastatin may treat hepatocellular carcinoma (HCC) by targeting CYP2C9. This study identified CYP2C9 as a key gene, showing its reduced expression in HCC and association with better patient prognosis.
Area of Science:
- Oncology
- Pharmacology
- Bioinformatics
Background:
- Hepatocellular carcinoma (HCC) presents significant morbidity and mortality.
- Statins, including atorvastatin, show potential in HCC prevention and treatment, but underlying mechanisms require elucidation.
- Limited research exists on the specific mechanisms of atorvastatin in HCC treatment.
Purpose of the Study:
- To elucidate the mechanism of atorvastatin in treating hepatocellular carcinoma (HCC).
- To identify potential therapeutic targets of atorvastatin for HCC using network pharmacology and bioinformatics.
Main Methods:
- Utilized network pharmacology and bioinformatics analyses on public databases (SwissTargetPrediction, PharmMapper, DrugBank, GSE datasets, TCGA, HPA).
- Identified differentially expressed genes (DEGs) in HCC and atorvastatin targets, followed by intersection analysis.
- Performed protein-protein interaction (PPI) analysis, hub gene identification (Cytoscape, LASSO), survival analysis (Kaplan-Meier, Cox), pathway analysis (KEGG, GSEA), and molecular docking.
Main Results:
- Identified 79 potential targets for atorvastatin in HCC treatment from intersecting DEGs and drug targets.
- Pinpointed Cytochrome P450 Family 2 Subfamily C Member 9 (CYP2C9) as the key hub gene, showing reduced expression in HCC tissues.
- Demonstrated that high CYP2C9 expression correlates with favorable HCC patient prognosis and identified xenobiotic metabolism pathways as key mechanisms.
Conclusions:
- CYP2C9 is a potential therapeutic target for atorvastatin in hepatocellular carcinoma (HCC) treatment.
- Atorvastatin's efficacy in HCC may involve the regulation of CYP2C9 and associated metabolic pathways.
- CYP2C9 expression serves as a prognostic biomarker for HCC patients.
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