Network pharmacology, bioinformatics and in vitro/in vivo validation elucidate the anti-lung cancer activities and potential targets of Rhoifolin
Jing Qian, Wei Cheng, Shuangyan Li, Li Deng, Di Gao, Xue Zhang, Yunhui Zhang
Journal:Frontiers in Pharmacology
IF:5.4
DOI:10.3389/fphar.2025.1727729
PMID:
Published:2026-01-14
research field:
Abstract
Background: Rhoifolin (ROF), a naturally occurring flavonoid, exhibits broad bioactivities, but its therapeutic potential and underlying mechanisms in lung cancer remain largely unknown. This study was designed to systematically investigate the anti-tumor effects of ROF and identify its key molecular targets.Materials and methods: Anti-tumor activities of ROF were assessed using CCK-8, colony formation, flow cytometry, wound healing, and Transwell assays, respectively. An integrated approach combining network pharmacology, transcriptomic analysis with machine learning was employed to identify primary targets. The Kaplan-Meier survival and ROC curve analyses also evaluated the targets’ clinical outcomes and tumor microenvironment through the Cancer Genome Atlas (TCGA) data and single-cell RNA sequencing. The confirmed experimentally via RT-qPCR, Western blot, and immunofluorescence. The drug-target interaction was characterized by molecular docking and dynamics simulations. Finally, the in vivo antitumor efficacy and the safety of ROF were assessed in an H358 xenograft mouse model.Results: ROF potently inhibited lung cancer cell proliferation (IC50: 15.35–33.84 µM), migration, and invasion, while inducing G2/M phase arrest and apoptosis (increased Bax/Bcl-2 ratio). ROF also impaired metastatic potential as evidenced by upregulated E-cadherin and downregulated N-cadherin in vitro. EPHB2 was identified as the most therapeutically relevant, showing high diagnostic value (AUC=0.856) and a significant correlation with poor patient survival. The experimental validation confirmed that ROF downregulates EPHB2 expression at both the mRNA and protein levels in a dose-dependent manner. Molecular docking and dynamics simulations predicted a stable, high-affinity interaction between ROF and the EPHB2 protein. Importantly, ROF treatment significantly suppressed tumor growth in vivo without discernible toxicity.Conclusion: Rhoifolin exerts potent and selective anti-lung cancer act
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