Cargando…

Analysis of Epithelial-Mesenchymal Transition Metabolism Identifies Possible Cancer Biomarkers Useful in Diverse Genetic Backgrounds

Epithelial-to-mesenchymal transition (EMT) relates to many molecular and cellular alterations that occur when epithelial cells undergo a switch in differentiation generating mesenchymal-like cells with newly acquired migratory and invasive properties. In cancer cells, EMT leads to drug resistance an...

Descripción completa

Detalles Bibliográficos
Autores principales: Matadamas-Guzman, Meztli, Zazueta, Cecilia, Rojas, Emilio, Resendis-Antonio, Osbaldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406688/
https://www.ncbi.nlm.nih.gov/pubmed/32850411
http://dx.doi.org/10.3389/fonc.2020.01309
_version_ 1783567474646581248
author Matadamas-Guzman, Meztli
Zazueta, Cecilia
Rojas, Emilio
Resendis-Antonio, Osbaldo
author_facet Matadamas-Guzman, Meztli
Zazueta, Cecilia
Rojas, Emilio
Resendis-Antonio, Osbaldo
author_sort Matadamas-Guzman, Meztli
collection PubMed
description Epithelial-to-mesenchymal transition (EMT) relates to many molecular and cellular alterations that occur when epithelial cells undergo a switch in differentiation generating mesenchymal-like cells with newly acquired migratory and invasive properties. In cancer cells, EMT leads to drug resistance and metastasis. Moreover, differences in genetic backgrounds, even between patients with the same type of cancer, also determine resistance to some treatments. Metabolic rewiring is essential to induce EMT, hence it is important to identify key metabolic elements for this process, which can be later used to treat cancer cells with different genetic backgrounds. Here we used a mathematical modeling approach to determine which are the metabolic reactions altered after induction of EMT, based on metabolomic and transcriptional data of three non-small cell lung cancer (NSCLC) cell lines. The model suggested that the most affected pathways were the Krebs cycle, amino acid metabolism, and glutathione metabolism. However, glutathione metabolism had many alterations either on the metabolic reactions or at the transcriptional level in the three cell lines. We identified Glutamate-cysteine ligase (GCL), a key enzyme of glutathione synthesis, as an important common feature that is dysregulated after EMT. Analyzing survival data of men with lung cancer, we observed that patients with mutations in GCL catalytic subunit (GCLC) or Glutathione peroxidase 1 (GPX1) genes survived less time than people without mutations on these genes. Besides, patients with low expression of ANPEP, GPX3 and GLS genes also survived less time than those with high expression. Hence, we propose that glutathione metabolism and glutathione itself could be good targets to delay or potentially prevent EMT induction in NSCLC cell lines.
format Online
Article
Text
id pubmed-7406688
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-74066882020-08-25 Analysis of Epithelial-Mesenchymal Transition Metabolism Identifies Possible Cancer Biomarkers Useful in Diverse Genetic Backgrounds Matadamas-Guzman, Meztli Zazueta, Cecilia Rojas, Emilio Resendis-Antonio, Osbaldo Front Oncol Oncology Epithelial-to-mesenchymal transition (EMT) relates to many molecular and cellular alterations that occur when epithelial cells undergo a switch in differentiation generating mesenchymal-like cells with newly acquired migratory and invasive properties. In cancer cells, EMT leads to drug resistance and metastasis. Moreover, differences in genetic backgrounds, even between patients with the same type of cancer, also determine resistance to some treatments. Metabolic rewiring is essential to induce EMT, hence it is important to identify key metabolic elements for this process, which can be later used to treat cancer cells with different genetic backgrounds. Here we used a mathematical modeling approach to determine which are the metabolic reactions altered after induction of EMT, based on metabolomic and transcriptional data of three non-small cell lung cancer (NSCLC) cell lines. The model suggested that the most affected pathways were the Krebs cycle, amino acid metabolism, and glutathione metabolism. However, glutathione metabolism had many alterations either on the metabolic reactions or at the transcriptional level in the three cell lines. We identified Glutamate-cysteine ligase (GCL), a key enzyme of glutathione synthesis, as an important common feature that is dysregulated after EMT. Analyzing survival data of men with lung cancer, we observed that patients with mutations in GCL catalytic subunit (GCLC) or Glutathione peroxidase 1 (GPX1) genes survived less time than people without mutations on these genes. Besides, patients with low expression of ANPEP, GPX3 and GLS genes also survived less time than those with high expression. Hence, we propose that glutathione metabolism and glutathione itself could be good targets to delay or potentially prevent EMT induction in NSCLC cell lines. Frontiers Media S.A. 2020-07-30 /pmc/articles/PMC7406688/ /pubmed/32850411 http://dx.doi.org/10.3389/fonc.2020.01309 Text en Copyright © 2020 Matadamas-Guzman, Zazueta, Rojas and Resendis-Antonio. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Matadamas-Guzman, Meztli
Zazueta, Cecilia
Rojas, Emilio
Resendis-Antonio, Osbaldo
Analysis of Epithelial-Mesenchymal Transition Metabolism Identifies Possible Cancer Biomarkers Useful in Diverse Genetic Backgrounds
title Analysis of Epithelial-Mesenchymal Transition Metabolism Identifies Possible Cancer Biomarkers Useful in Diverse Genetic Backgrounds
title_full Analysis of Epithelial-Mesenchymal Transition Metabolism Identifies Possible Cancer Biomarkers Useful in Diverse Genetic Backgrounds
title_fullStr Analysis of Epithelial-Mesenchymal Transition Metabolism Identifies Possible Cancer Biomarkers Useful in Diverse Genetic Backgrounds
title_full_unstemmed Analysis of Epithelial-Mesenchymal Transition Metabolism Identifies Possible Cancer Biomarkers Useful in Diverse Genetic Backgrounds
title_short Analysis of Epithelial-Mesenchymal Transition Metabolism Identifies Possible Cancer Biomarkers Useful in Diverse Genetic Backgrounds
title_sort analysis of epithelial-mesenchymal transition metabolism identifies possible cancer biomarkers useful in diverse genetic backgrounds
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406688/
https://www.ncbi.nlm.nih.gov/pubmed/32850411
http://dx.doi.org/10.3389/fonc.2020.01309
work_keys_str_mv AT matadamasguzmanmeztli analysisofepithelialmesenchymaltransitionmetabolismidentifiespossiblecancerbiomarkersusefulindiversegeneticbackgrounds
AT zazuetacecilia analysisofepithelialmesenchymaltransitionmetabolismidentifiespossiblecancerbiomarkersusefulindiversegeneticbackgrounds
AT rojasemilio analysisofepithelialmesenchymaltransitionmetabolismidentifiespossiblecancerbiomarkersusefulindiversegeneticbackgrounds
AT resendisantonioosbaldo analysisofepithelialmesenchymaltransitionmetabolismidentifiespossiblecancerbiomarkersusefulindiversegeneticbackgrounds