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Mathematical models of cancer metabolism

Metabolism is essential for life, and its alteration is implicated in multiple human diseases. The transformation from a normal to a cancerous cell requires metabolic changes to fuel the high metabolic demands of cancer cells, including but not limited to cell proliferation and cell migration. In re...

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Autores principales: Markert, Elke Katrin, Vazquez, Alexei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4688954/
https://www.ncbi.nlm.nih.gov/pubmed/26702357
http://dx.doi.org/10.1186/s40170-015-0140-6
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author Markert, Elke Katrin
Vazquez, Alexei
author_facet Markert, Elke Katrin
Vazquez, Alexei
author_sort Markert, Elke Katrin
collection PubMed
description Metabolism is essential for life, and its alteration is implicated in multiple human diseases. The transformation from a normal to a cancerous cell requires metabolic changes to fuel the high metabolic demands of cancer cells, including but not limited to cell proliferation and cell migration. In recent years, there have been a number of new discoveries connecting known aberrations in oncogenic and tumour suppressor pathways with metabolic alterations required to sustain cell proliferation and migration. However, an understanding of the selective advantage of these metabolic alterations is still lacking. Here, we review the literature on mathematical models of metabolism, with an emphasis on their contribution to the identification of the selective advantage of metabolic phenotypes that seem otherwise wasteful or accidental. We will show how the molecular hallmarks of cancer can be related to cell proliferation and tissue remodelling, the two major physiological requirements for the development of a multicellular structure. We will cover different areas such as genome-wide gene expression analysis, flux balance models, kinetic models, reaction diffusion models and models of the tumour microenvironment. We will also highlight current challenges and how their resolution will help to achieve a better understanding of cancer metabolism and the metabolic vulnerabilities of cancers.
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spelling pubmed-46889542015-12-24 Mathematical models of cancer metabolism Markert, Elke Katrin Vazquez, Alexei Cancer Metab Review Metabolism is essential for life, and its alteration is implicated in multiple human diseases. The transformation from a normal to a cancerous cell requires metabolic changes to fuel the high metabolic demands of cancer cells, including but not limited to cell proliferation and cell migration. In recent years, there have been a number of new discoveries connecting known aberrations in oncogenic and tumour suppressor pathways with metabolic alterations required to sustain cell proliferation and migration. However, an understanding of the selective advantage of these metabolic alterations is still lacking. Here, we review the literature on mathematical models of metabolism, with an emphasis on their contribution to the identification of the selective advantage of metabolic phenotypes that seem otherwise wasteful or accidental. We will show how the molecular hallmarks of cancer can be related to cell proliferation and tissue remodelling, the two major physiological requirements for the development of a multicellular structure. We will cover different areas such as genome-wide gene expression analysis, flux balance models, kinetic models, reaction diffusion models and models of the tumour microenvironment. We will also highlight current challenges and how their resolution will help to achieve a better understanding of cancer metabolism and the metabolic vulnerabilities of cancers. BioMed Central 2015-12-22 /pmc/articles/PMC4688954/ /pubmed/26702357 http://dx.doi.org/10.1186/s40170-015-0140-6 Text en © Markert and Vazquez. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Markert, Elke Katrin
Vazquez, Alexei
Mathematical models of cancer metabolism
title Mathematical models of cancer metabolism
title_full Mathematical models of cancer metabolism
title_fullStr Mathematical models of cancer metabolism
title_full_unstemmed Mathematical models of cancer metabolism
title_short Mathematical models of cancer metabolism
title_sort mathematical models of cancer metabolism
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4688954/
https://www.ncbi.nlm.nih.gov/pubmed/26702357
http://dx.doi.org/10.1186/s40170-015-0140-6
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