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Detalle de: Metabolic enzyme ACSL3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer

Title Metabolic enzyme ACSL3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer
Abstract

Lung cancer is one of the most common cancers, still characterized by high mortality rates. As lipid metabolism contributes to cancer metabolic reprogramming, several lipid metabolism genes are considered prognostic biomarkers of cancer. Statins are a class of lipid‐lowering compounds used in treatment of cardiovascular disease that are currently studied for their antitumor effects. However, their exact mechanism of action and specific conditions in which they should be administered remains unclear. Here, we found that simvastatin treatment effectively promoted antiproliferative effects and modulated lipid metabolism‐related pathways in non‐small cell lung cancer (NSCLC) cells and that the antiproliferative effects of statins were potentiated by overexpression of acyl‐CoA synthetase long‐chain family member 3 (ACSL3). Moreover, ACSL3 overexpression was associated with worse clinical outcome in patients with high‐grade NSCLC. Finally, we found that patients with high expression levels of ACSL3 displayed a clinical benefit of statins treatment. Therefore, our study highlights ACSL3 as a prognostic biomarker for NSCLC, useful to select patients who would obtain a clinical benefit from statin administration.

Apa Reference Fernández, L.P., Merino, M., Colmenarejo, G., Moreno‐Rubio, J., Sánchez‐Martínez, R., Quijada‐Freire, A., Gómez de Cedrón, M., Reglero, G., Casado, E., Sereno, M. & Ramírez de Molina, A. (2020). Metabolic enzyme ACSL3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer. Molecular Oncology, 14(12), 3135-3152. 10.1002/1878-0261.12816
Doi 10.1002/1878-0261.12816
Publication Date 30 Oct 2020
Publication Type Article
Researcher Gonzalo Colmenarejo
Ontology Structure-function relationship, Clinical data, Metabolite Biomarker Identification
Research Groups
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