Takol Chareonsirisuthigul

Network Pharmacology and Molecular Docking Identify Medicarpin as a Potent CASP3 and ESR1 Binder Driving Apoptotic and Hormone-Dependent Anticancer Activity

Ovarian cancer (OC) remains one of the most lethal gynecologic malignancies due to late diagnosis, rapid progression, and frequent chemoresistance. Despite advances in targeted therapy, durable responses are uncommon, underscoring the need for novel multitarget agents capable of modulating key oncogenic networks. Medicarpin, a natural pterocarpan phytoalexin, exhibits diverse pharmacological activities; however, its molecular mechanisms in OC are poorly defined. This study employed an integrative in silico framework combining network pharmacology, pathway enrichment, molecular docking, and survival analysis to elucidate medicarpin’s therapeutic landscape in OC. A total of 107 overlapping targets were identified, resulting in a dense protein–protein interaction network enriched in kinase-mediated and apoptotic signaling pathways. Ten hub genes were emphasized: CASP3, ESR1, mTOR, PIK3CA, CCND1, GSK3B, CDK4, PARP1, CHEK1, and ABL1. Gene Ontology and KEGG analyses demonstrated substantial enrichment in the PI3K–Akt/mTOR and prolactin signaling pathways. Docking revealed the stable binding of medicarpin to CASP3 (−6.13 kcal/mol) and ESR1 (−7.68 kcal/mol), supporting its dual regulation of hormonal and apoptotic processes. Although CASP3 and ESR1 expression alone lacked prognostic significance, their network interplay suggests synergistic relevance. Medicarpin exhibits multitarget anticancer potential in OC by modulating kinase-driven and hormone-dependent pathways, warranting further experimental validation.

High Expression of miR-483-5p Predicts Chemotherapy Resistance in Epithelial Ovarian Cancer

Background: Ovarian cancer is the most deadly cancer that requires novel diagnostics and therapeutics. MicroRNAs are viewed as essential gene regulatory elements involved in different pathobiological mechanisms of many cancers, including ovarian cancer. Objective: This study examined the relationship between microRNA (miRNA) expression and response to platinum-based chemotherapy. Methods: Genome-wide miRNA expression analysis was conducted using Epithelial Ovarian Cancer (EOC) tissues from 25 patients with 17 malignant tumors and eight benign ovarian tumors. Candidate miRNAs that respond to platinum-based chemotherapy were selected for validation by quantitative RT-PCR. Result: Among 2,578 mature human miRNAs, high expression of miR-483-5p correlated with poor responses to platinum-based chemotherapy in EOC patients. Furthermore, high levels of miR-483-5p in the resistant group suppressed expression of the apoptotic regulator TAOK-1. Conclusion: A possible marker for the prediction of chemotherapy response and resistance in patients may be miR-483-5p. Choosing the right treatment for each patient with EOC can avoid the risk of developing chemotherapy resistance.