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Metabolic Reprogramming in Metastatic Melanoma with Acquired Resistance to Targeted Therapies: Integrative Metabolomic and Proteomic Analysis

Treatments of metastatic melanoma underwent an impressive development over the past few years, with the emergence of small molecule inhibitors targeting mutated proteins, such as BRAF, NRAS, or cKIT. However, since a significant proportion of patients acquire resistance to these therapies, new strat...

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Autores principales: Soumoy, Laura, Schepkens, Corentin, Krayem, Mohammad, Najem, Ahmad, Tagliatti, Vanessa, Ghanem, Ghanem E., Saussez, Sven, Colet, Jean-Marie, Journe, Fabrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280989/
https://www.ncbi.nlm.nih.gov/pubmed/32455924
http://dx.doi.org/10.3390/cancers12051323
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author Soumoy, Laura
Schepkens, Corentin
Krayem, Mohammad
Najem, Ahmad
Tagliatti, Vanessa
Ghanem, Ghanem E.
Saussez, Sven
Colet, Jean-Marie
Journe, Fabrice
author_facet Soumoy, Laura
Schepkens, Corentin
Krayem, Mohammad
Najem, Ahmad
Tagliatti, Vanessa
Ghanem, Ghanem E.
Saussez, Sven
Colet, Jean-Marie
Journe, Fabrice
author_sort Soumoy, Laura
collection PubMed
description Treatments of metastatic melanoma underwent an impressive development over the past few years, with the emergence of small molecule inhibitors targeting mutated proteins, such as BRAF, NRAS, or cKIT. However, since a significant proportion of patients acquire resistance to these therapies, new strategies are currently being considered to overcome this issue. For this purpose, melanoma cell lines with mutant BRAF, NRAS, or cKIT and with acquired resistances to BRAF, MEK, or cKIT inhibitors, respectively, were investigated using both (1)H-NMR-based metabonomic and protein microarrays. The (1)H-NMR profiles highlighted a similar go and return pattern in the metabolism of the BRAF, NRAS, and cKIT mutated cell lines. Indeed, melanoma cells exposed to mutation-specific inhibitors underwent metabolic disruptions following acute exposure but partially recovered their basal metabolism in long-term exposure, most likely acquiring resistance skills. The protein microarrays inquired about the potential cellular mechanisms used by the resistant cells to escape drug treatment, by showing decreased levels of proteins linked to the drug efficacy, especially in the downstream part of the MAPK signaling pathway. Integrating metabonomic and proteomic findings revealed some metabolic pathways (i.e., glutaminolysis, choline metabolism, glutathione production, glycolysis, oxidative phosphorylation) and key proteins (i.e., EPHA2, DUSP4, and HIF-1A) as potential targets to discard drug resistance.
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spelling pubmed-72809892020-06-15 Metabolic Reprogramming in Metastatic Melanoma with Acquired Resistance to Targeted Therapies: Integrative Metabolomic and Proteomic Analysis Soumoy, Laura Schepkens, Corentin Krayem, Mohammad Najem, Ahmad Tagliatti, Vanessa Ghanem, Ghanem E. Saussez, Sven Colet, Jean-Marie Journe, Fabrice Cancers (Basel) Article Treatments of metastatic melanoma underwent an impressive development over the past few years, with the emergence of small molecule inhibitors targeting mutated proteins, such as BRAF, NRAS, or cKIT. However, since a significant proportion of patients acquire resistance to these therapies, new strategies are currently being considered to overcome this issue. For this purpose, melanoma cell lines with mutant BRAF, NRAS, or cKIT and with acquired resistances to BRAF, MEK, or cKIT inhibitors, respectively, were investigated using both (1)H-NMR-based metabonomic and protein microarrays. The (1)H-NMR profiles highlighted a similar go and return pattern in the metabolism of the BRAF, NRAS, and cKIT mutated cell lines. Indeed, melanoma cells exposed to mutation-specific inhibitors underwent metabolic disruptions following acute exposure but partially recovered their basal metabolism in long-term exposure, most likely acquiring resistance skills. The protein microarrays inquired about the potential cellular mechanisms used by the resistant cells to escape drug treatment, by showing decreased levels of proteins linked to the drug efficacy, especially in the downstream part of the MAPK signaling pathway. Integrating metabonomic and proteomic findings revealed some metabolic pathways (i.e., glutaminolysis, choline metabolism, glutathione production, glycolysis, oxidative phosphorylation) and key proteins (i.e., EPHA2, DUSP4, and HIF-1A) as potential targets to discard drug resistance. MDPI 2020-05-22 /pmc/articles/PMC7280989/ /pubmed/32455924 http://dx.doi.org/10.3390/cancers12051323 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Soumoy, Laura
Schepkens, Corentin
Krayem, Mohammad
Najem, Ahmad
Tagliatti, Vanessa
Ghanem, Ghanem E.
Saussez, Sven
Colet, Jean-Marie
Journe, Fabrice
Metabolic Reprogramming in Metastatic Melanoma with Acquired Resistance to Targeted Therapies: Integrative Metabolomic and Proteomic Analysis
title Metabolic Reprogramming in Metastatic Melanoma with Acquired Resistance to Targeted Therapies: Integrative Metabolomic and Proteomic Analysis
title_full Metabolic Reprogramming in Metastatic Melanoma with Acquired Resistance to Targeted Therapies: Integrative Metabolomic and Proteomic Analysis
title_fullStr Metabolic Reprogramming in Metastatic Melanoma with Acquired Resistance to Targeted Therapies: Integrative Metabolomic and Proteomic Analysis
title_full_unstemmed Metabolic Reprogramming in Metastatic Melanoma with Acquired Resistance to Targeted Therapies: Integrative Metabolomic and Proteomic Analysis
title_short Metabolic Reprogramming in Metastatic Melanoma with Acquired Resistance to Targeted Therapies: Integrative Metabolomic and Proteomic Analysis
title_sort metabolic reprogramming in metastatic melanoma with acquired resistance to targeted therapies: integrative metabolomic and proteomic analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280989/
https://www.ncbi.nlm.nih.gov/pubmed/32455924
http://dx.doi.org/10.3390/cancers12051323
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