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

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 treatm...

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Autores principales: Fernández, Lara Paula, Merino, María, Colmenarejo, Gonzalo, Moreno‐Rubio, Juan, Sánchez‐Martínez, Ruth, Quijada‐Freire, Adriana, Gómez de Cedrón, Marta, Reglero, Guillermo, Casado, Enrique, Sereno, María, Ramírez de Molina, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718959/
https://www.ncbi.nlm.nih.gov/pubmed/33030783
http://dx.doi.org/10.1002/1878-0261.12816
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author Fernández, Lara Paula
Merino, María
Colmenarejo, Gonzalo
Moreno‐Rubio, Juan
Sánchez‐Martínez, Ruth
Quijada‐Freire, Adriana
Gómez de Cedrón, Marta
Reglero, Guillermo
Casado, Enrique
Sereno, María
Ramírez de Molina, Ana
author_facet Fernández, Lara Paula
Merino, María
Colmenarejo, Gonzalo
Moreno‐Rubio, Juan
Sánchez‐Martínez, Ruth
Quijada‐Freire, Adriana
Gómez de Cedrón, Marta
Reglero, Guillermo
Casado, Enrique
Sereno, María
Ramírez de Molina, Ana
author_sort Fernández, Lara Paula
collection PubMed
description 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.
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spelling pubmed-77189592020-12-11 Metabolic enzyme ACSL3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer Fernández, Lara Paula Merino, María Colmenarejo, Gonzalo Moreno‐Rubio, Juan Sánchez‐Martínez, Ruth Quijada‐Freire, Adriana Gómez de Cedrón, Marta Reglero, Guillermo Casado, Enrique Sereno, María Ramírez de Molina, Ana Mol Oncol Research Articles 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. John Wiley and Sons Inc. 2020-10-30 2020-12 /pmc/articles/PMC7718959/ /pubmed/33030783 http://dx.doi.org/10.1002/1878-0261.12816 Text en © 2020 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Fernández, Lara Paula
Merino, María
Colmenarejo, Gonzalo
Moreno‐Rubio, Juan
Sánchez‐Martínez, Ruth
Quijada‐Freire, Adriana
Gómez de Cedrón, Marta
Reglero, Guillermo
Casado, Enrique
Sereno, María
Ramírez de Molina, Ana
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
title_full Metabolic enzyme ACSL3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer
title_fullStr Metabolic enzyme ACSL3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer
title_full_unstemmed Metabolic enzyme ACSL3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer
title_short Metabolic enzyme ACSL3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer
title_sort metabolic enzyme acsl3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718959/
https://www.ncbi.nlm.nih.gov/pubmed/33030783
http://dx.doi.org/10.1002/1878-0261.12816
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