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

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 bl

SUBMITTER: Ahmad Alizadeh E 

PROVIDER: S-EPMC12523866 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature