Parthenolide reverses cisplatin-resistant in ovarian cancer: An observational network pharmacology and molecular docking study.

BACKGROUND

Ovarian cancer (OV) is the most prevalent and lethal gynecologic malignancy globally. Cisplatin remains the first-line chemotherapeutic regimen for OV; however, chemotherapy resistance poses a persistent clinical challenge in gynecologic oncology. Parthenolide, a naturally derived phytochemical, exhibits broad-spectrum antitumor activity. Recent studies suggest that parthenolide may reverse cisplatin-resistance in OV when used in combination therapy. This study aims to elucidate the molecular targets and mechanisms underlying parthenolide-mediated reversal of cisplatin-resistance by integrating network pharmacology and molecular docking approaches.

METHODS

Platinum-resistant and control OV gene expression datasets were retrieved from the gene expression omnibus database. Differentially expressed genes (DEGs) were identified using the limma R package. Cellular enrichment patterns in platinum-resistant and control samples were analyzed via single-sample Gene Set Enrichment Analysis (ssGSEA). Weighted Gene Co-Expression Network Analysis (WGCNA) was employed to identify modules associated with differentially enriched cell types. A protein-protein interaction network of overlapping genes from DEGs and WGCNA-identified genes was constructed to pinpoint hub genes. Receiver operating characteristic (ROC) curves assessed the diagnostic utility of hub genes. Molecular docking and binding pocket analysis were performed to explore parthenolide-protein interactions.

RESULTS

A total of 3582 DEGs were identified between platinum-resistant and control samples, enriched in biological processes (e.g., cell junction assembly), cellular components (e.g., collagen-containing extracellular matrix), and molecular functions (e.g., signaling receptor activation). WGCNA revealed 331 genes correlated with differentially enriched cell types. Subsequent overlap analysis identified 266 immunity-related genes in platinum-resistant OV. Hub genes, including apolipoprotein E, demonstrated diagnostic value via ROC analysis. Molecular docking highlighted β2-microglobulin, brain-derived neurotrophic factor, cellular communication network factor 2, and activator protein-1 as parthenolide targets, with binding pocket analysis identifying critical interaction residues.

CONCLUSIONS

This study identifies candidate genes linked to cisplatin-resistance and delineates molecular mechanisms by which parthenolide may counteract resistance, supporting its clinical application in OV therapy.