August 16, 2025Open Access

Elucidating the Inhibitory Potential of Statins Against Oncogenic c-Met Tyrosine Kinase Through Computational and Cell-based Studies

EAElham AlizadehKerman University of Medical Sciences LKLeila KaramiKharazmi University FGFahimeh GhasemiTehran University of Medical Sciences

Key Points

Cytotoxicity of fluvastatin and pitavastatin was shown in gastric cancer cells, leading to apoptosis.
Machine learning models demonstrated biological activity of statin structures exceeding 200 nM against c-Met.
Molecular dynamics simulations validated statin interactions with the c-Met receptor, supporting computational findings.
Despite observed cytotoxicity, no significant reduction in c-Met phosphorylation was noted through western blot analysis.

Abstract

Background: The cellular mesenchymal-epithelial transition (c-Met) receptor, a member of the receptor tyrosine kinase family, is a novel therapeutic target for treating many cancers, including stomach cancer. Overexpression of c-Met and/or high levels of hepatocyte growth factor (HGF) correlate with poor prognosis. Statins, as LDL-lowering agents, are exploited to obtain anti-cancer effects via a wide range of pleiotropic effects. Objectives: The present study aimed to discover the most effective statin as a c-Met signaling inhibitor through computational and experimental approaches. Methods: Two main computational approaches, i.e., machine learning (ML) model and molecular dynamics (MDs) simulation, were followed by cytotoxicity, flow cytometric analysis, and western blot assay on AGS and MKN-45 gastric cancer cells. Results: The machine learning section was founded on developing tree-based classification algorithms to predict the biological activities of the proposed statin structures as c-Met receptor inhibitors. In the second step, molecular docking and MD simulation were utilized to estimate the biomolecular interactions. The proposed classification models reveal that all structures have more than 200 nM biological activities. Machine learning led the experiment to find fluvastatin and pitavastatin as the two compounds with the highest inhibitory effects. In cell-based assays, both tested statins exhibited cytotoxicity and induced apoptosis, accompanied by sub-G1 accumulation in gastric cancer cells. However, no significant reduction in c-Met phosphorylation was observed by western blot. Conclusions: No relation between the statins’ inhibitory effect and the c-Met pathway on cancerous cells could be reported.

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