Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.

Tumors are often heterogeneous in which tumor cells of different phenotypes have distinct properties. For scientific and clinical interests, it is of fundamental importance to understand their properties and the dynamic variations among different phenotypes, specifically under radio- and/or chemo-th...

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Autores principales:	Weikang Wang, Yi Quan, Qibin Fu, Yu Liu, Ying Liang, Jingwen Wu, Gen Yang, Chunxiong Luo, Qi Ouyang, Yugang Wang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/24834be844fe4f78909f81c57707d631
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spelling	oai:doaj.org-article:24834be844fe4f78909f81c57707d6312021-11-18T08:38:14ZDynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.1932-620310.1371/journal.pone.0084654https://doaj.org/article/24834be844fe4f78909f81c57707d6312014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24416258/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Tumors are often heterogeneous in which tumor cells of different phenotypes have distinct properties. For scientific and clinical interests, it is of fundamental importance to understand their properties and the dynamic variations among different phenotypes, specifically under radio- and/or chemo-therapy. Currently there are two controversial models describing tumor heterogeneity, the cancer stem cell (CSC) model and the stochastic model. To clarify the controversy, we measured probabilities of different division types and transitions of cells via in situ immunofluorescence. Based on the experiment data, we constructed a model that combines the CSC with the stochastic concepts, showing the existence of both distinctive CSC subpopulations and the stochastic transitions from NSCCs to CSCs. The results showed that the dynamic variations between CSCs and non-stem cancer cells (NSCCs) can be simulated with the model. Further studies also showed that the model can be used to describe the dynamics of the two subpopulations after radiation treatment. More importantly, analysis demonstrated that the experimental detectable equilibrium CSC proportion can be achieved only when the stochastic transitions from NSCCs to CSCs occur, indicating that tumor heterogeneity may exist in a model coordinating with both the CSC and the stochastic concepts. The mathematic model based on experimental parameters may contribute to a better understanding of the tumor heterogeneity, and provide references on the dynamics of CSC subpopulation during radiotherapy.Weikang WangYi QuanQibin FuYu LiuYing LiangJingwen WuGen YangChunxiong LuoQi OuyangYugang WangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e84654 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Weikang Wang Yi Quan Qibin Fu Yu Liu Ying Liang Jingwen Wu Gen Yang Chunxiong Luo Qi Ouyang Yugang Wang Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
description	Tumors are often heterogeneous in which tumor cells of different phenotypes have distinct properties. For scientific and clinical interests, it is of fundamental importance to understand their properties and the dynamic variations among different phenotypes, specifically under radio- and/or chemo-therapy. Currently there are two controversial models describing tumor heterogeneity, the cancer stem cell (CSC) model and the stochastic model. To clarify the controversy, we measured probabilities of different division types and transitions of cells via in situ immunofluorescence. Based on the experiment data, we constructed a model that combines the CSC with the stochastic concepts, showing the existence of both distinctive CSC subpopulations and the stochastic transitions from NSCCs to CSCs. The results showed that the dynamic variations between CSCs and non-stem cancer cells (NSCCs) can be simulated with the model. Further studies also showed that the model can be used to describe the dynamics of the two subpopulations after radiation treatment. More importantly, analysis demonstrated that the experimental detectable equilibrium CSC proportion can be achieved only when the stochastic transitions from NSCCs to CSCs occur, indicating that tumor heterogeneity may exist in a model coordinating with both the CSC and the stochastic concepts. The mathematic model based on experimental parameters may contribute to a better understanding of the tumor heterogeneity, and provide references on the dynamics of CSC subpopulation during radiotherapy.
format	article
author	Weikang Wang Yi Quan Qibin Fu Yu Liu Ying Liang Jingwen Wu Gen Yang Chunxiong Luo Qi Ouyang Yugang Wang
author_facet	Weikang Wang Yi Quan Qibin Fu Yu Liu Ying Liang Jingwen Wu Gen Yang Chunxiong Luo Qi Ouyang Yugang Wang
author_sort	Weikang Wang
title	Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
title_short	Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
title_full	Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
title_fullStr	Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
title_full_unstemmed	Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
title_sort	dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/24834be844fe4f78909f81c57707d631
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Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.

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