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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doaj-24834be844fe4f78909f81c57707d6312021-03-04T10:03:22ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0191e8465410.1371/journal.pone.0084654Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.Weikang WangYi QuanQibin FuYu LiuYing LiangJingwen WuGen YangChunxiong LuoQi OuyangYugang WangTumors 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.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24416258/pdf/?tool=EBI |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Weikang Wang Yi Quan Qibin Fu Yu Liu Ying Liang Jingwen Wu Gen Yang Chunxiong Luo Qi Ouyang Yugang Wang |
spellingShingle |
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. PLoS ONE |
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) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2014-01-01 |
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. |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24416258/pdf/?tool=EBI |
work_keys_str_mv |
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