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Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors

The cancer stem cell (CSC) concept is a highly debated topic in cancer research. While experimental evidence in favor of the cancer stem cell theory is apparently abundant, the results are often criticized as being difficult to interpret. An important reason for this is that most experimental data t...

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Detalles Bibliográficos
Autores principales: Sottoriva, Andrea, Vermeulen, Louis, Tavaré, Simon
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088646/
https://www.ncbi.nlm.nih.gov/pubmed/21573198
http://dx.doi.org/10.1371/journal.pcbi.1001132
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author Sottoriva, Andrea
Vermeulen, Louis
Tavaré, Simon
author_facet Sottoriva, Andrea
Vermeulen, Louis
Tavaré, Simon
author_sort Sottoriva, Andrea
collection PubMed
description The cancer stem cell (CSC) concept is a highly debated topic in cancer research. While experimental evidence in favor of the cancer stem cell theory is apparently abundant, the results are often criticized as being difficult to interpret. An important reason for this is that most experimental data that support this model rely on transplantation studies. In this study we use a novel cellular Potts model to elucidate the dynamics of established malignancies that are driven by a small subset of CSCs. Our results demonstrate that epigenetic mutations that occur during mitosis display highly altered dynamics in CSC-driven malignancies compared to a classical, non-hierarchical model of growth. In particular, the heterogeneity observed in CSC-driven tumors is considerably higher. We speculate that this feature could be used in combination with epigenetic (methylation) sequencing studies of human malignancies to prove or refute the CSC hypothesis in established tumors without the need for transplantation. Moreover our tumor growth simulations indicate that CSC-driven tumors display evolutionary features that can be considered beneficial during tumor progression. Besides an increased heterogeneity they also exhibit properties that allow the escape of clones from local fitness peaks. This leads to more aggressive phenotypes in the long run and makes the neoplasm more adaptable to stringent selective forces such as cancer treatment. Indeed when therapy is applied the clone landscape of the regrown tumor is more aggressive with respect to the primary tumor, whereas the classical model demonstrated similar patterns before and after therapy. Understanding these often counter-intuitive fundamental properties of (non-)hierarchically organized malignancies is a crucial step in validating the CSC concept as well as providing insight into the therapeutical consequences of this model.
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spelling pubmed-30886462011-05-13 Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors Sottoriva, Andrea Vermeulen, Louis Tavaré, Simon PLoS Comput Biol Research Article The cancer stem cell (CSC) concept is a highly debated topic in cancer research. While experimental evidence in favor of the cancer stem cell theory is apparently abundant, the results are often criticized as being difficult to interpret. An important reason for this is that most experimental data that support this model rely on transplantation studies. In this study we use a novel cellular Potts model to elucidate the dynamics of established malignancies that are driven by a small subset of CSCs. Our results demonstrate that epigenetic mutations that occur during mitosis display highly altered dynamics in CSC-driven malignancies compared to a classical, non-hierarchical model of growth. In particular, the heterogeneity observed in CSC-driven tumors is considerably higher. We speculate that this feature could be used in combination with epigenetic (methylation) sequencing studies of human malignancies to prove or refute the CSC hypothesis in established tumors without the need for transplantation. Moreover our tumor growth simulations indicate that CSC-driven tumors display evolutionary features that can be considered beneficial during tumor progression. Besides an increased heterogeneity they also exhibit properties that allow the escape of clones from local fitness peaks. This leads to more aggressive phenotypes in the long run and makes the neoplasm more adaptable to stringent selective forces such as cancer treatment. Indeed when therapy is applied the clone landscape of the regrown tumor is more aggressive with respect to the primary tumor, whereas the classical model demonstrated similar patterns before and after therapy. Understanding these often counter-intuitive fundamental properties of (non-)hierarchically organized malignancies is a crucial step in validating the CSC concept as well as providing insight into the therapeutical consequences of this model. Public Library of Science 2011-05-05 /pmc/articles/PMC3088646/ /pubmed/21573198 http://dx.doi.org/10.1371/journal.pcbi.1001132 Text en Sottoriva et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Sottoriva, Andrea
Vermeulen, Louis
Tavaré, Simon
Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors
title Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors
title_full Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors
title_fullStr Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors
title_full_unstemmed Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors
title_short Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors
title_sort modeling evolutionary dynamics of epigenetic mutations in hierarchically organized tumors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088646/
https://www.ncbi.nlm.nih.gov/pubmed/21573198
http://dx.doi.org/10.1371/journal.pcbi.1001132
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