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Phenotypic heterogeneity in modeling cancer evolution

The unwelcome evolution of malignancy during cancer progression emerges through a selection process in a complex heterogeneous population structure. In the present work, we investigate evolutionary dynamics in a phenotypically heterogeneous population of stem cells (SCs) and their associated progeni...

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Autores principales: Mahdipour-Shirayeh, Ali, Kaveh, Kamran, Kohandel, Mohammad, Sivaloganathan, Sivabal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662227/
https://www.ncbi.nlm.nih.gov/pubmed/29084232
http://dx.doi.org/10.1371/journal.pone.0187000
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author Mahdipour-Shirayeh, Ali
Kaveh, Kamran
Kohandel, Mohammad
Sivaloganathan, Sivabal
author_facet Mahdipour-Shirayeh, Ali
Kaveh, Kamran
Kohandel, Mohammad
Sivaloganathan, Sivabal
author_sort Mahdipour-Shirayeh, Ali
collection PubMed
description The unwelcome evolution of malignancy during cancer progression emerges through a selection process in a complex heterogeneous population structure. In the present work, we investigate evolutionary dynamics in a phenotypically heterogeneous population of stem cells (SCs) and their associated progenitors. The fate of a malignant mutation is determined not only by overall stem cell and non-stem cell growth rates but also differentiation and dedifferentiation rates. We investigate the effect of such a complex population structure on the evolution of malignant mutations. We derive exactly calculated results for the fixation probability of a mutant arising in each of the subpopulations. The exactly calculated results are in almost perfect agreement with the numerical simulations. Moreover, a condition for evolutionary advantage of a mutant cell versus the wild type population is given in the present study. We also show that microenvironment-induced plasticity in invading mutants leads to more aggressive mutants with higher fixation probability. Our model predicts that decreasing polarity between stem and non-stem cells’ turnover would raise the survivability of non-plastic mutants; while it would suppress the development of malignancy for plastic mutants. The derived results are novel and general with potential applications in nature; we discuss our model in the context of colorectal/intestinal cancer (at the epithelium). However, the model clearly needs to be validated through appropriate experimental data. This novel mathematical framework can be applied more generally to a variety of problems concerning selection in heterogeneous populations, in other contexts such as population genetics, and ecology.
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spelling pubmed-56622272017-11-09 Phenotypic heterogeneity in modeling cancer evolution Mahdipour-Shirayeh, Ali Kaveh, Kamran Kohandel, Mohammad Sivaloganathan, Sivabal PLoS One Research Article The unwelcome evolution of malignancy during cancer progression emerges through a selection process in a complex heterogeneous population structure. In the present work, we investigate evolutionary dynamics in a phenotypically heterogeneous population of stem cells (SCs) and their associated progenitors. The fate of a malignant mutation is determined not only by overall stem cell and non-stem cell growth rates but also differentiation and dedifferentiation rates. We investigate the effect of such a complex population structure on the evolution of malignant mutations. We derive exactly calculated results for the fixation probability of a mutant arising in each of the subpopulations. The exactly calculated results are in almost perfect agreement with the numerical simulations. Moreover, a condition for evolutionary advantage of a mutant cell versus the wild type population is given in the present study. We also show that microenvironment-induced plasticity in invading mutants leads to more aggressive mutants with higher fixation probability. Our model predicts that decreasing polarity between stem and non-stem cells’ turnover would raise the survivability of non-plastic mutants; while it would suppress the development of malignancy for plastic mutants. The derived results are novel and general with potential applications in nature; we discuss our model in the context of colorectal/intestinal cancer (at the epithelium). However, the model clearly needs to be validated through appropriate experimental data. This novel mathematical framework can be applied more generally to a variety of problems concerning selection in heterogeneous populations, in other contexts such as population genetics, and ecology. Public Library of Science 2017-10-30 /pmc/articles/PMC5662227/ /pubmed/29084232 http://dx.doi.org/10.1371/journal.pone.0187000 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Mahdipour-Shirayeh, Ali
Kaveh, Kamran
Kohandel, Mohammad
Sivaloganathan, Sivabal
Phenotypic heterogeneity in modeling cancer evolution
title Phenotypic heterogeneity in modeling cancer evolution
title_full Phenotypic heterogeneity in modeling cancer evolution
title_fullStr Phenotypic heterogeneity in modeling cancer evolution
title_full_unstemmed Phenotypic heterogeneity in modeling cancer evolution
title_short Phenotypic heterogeneity in modeling cancer evolution
title_sort phenotypic heterogeneity in modeling cancer evolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662227/
https://www.ncbi.nlm.nih.gov/pubmed/29084232
http://dx.doi.org/10.1371/journal.pone.0187000
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