Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
Dynamics between cancer cell subpopulations reveals a model coordinating with both hierarchical and stochastic concepts.
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癌细胞亚群之间的动力学揭示了一个协调分层和随机概念的模型
DOI:
10.1371/journal.pone.0084654
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Wang Y
中科院分区:
文献类型:
--
作者:
Wang W;Quan Y;Fu Q;Liu Y;Liang Y;Wu J;Yang G;Luo C;Ouyang Q;Wang Y
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.
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影响因子:
78.5
作者:
Collado, Manuel;Serrano, Manuel
通讯作者:
Serrano, Manuel
影响因子:
64.8
作者:
O'Brien, Catherine A.;Pollett, Aaron;Dick, John E.
通讯作者:
Dick, John E.
DOI:
10.1111/j.1749-6632.2009.04880.x
发表时间:
2009-01-01
期刊:
YEAR IN EVOLUTIONARY BIOLOGY 2009
影响因子:
--
作者:
Attolini, Camille Stephan-Otto;Michor, Franziska
通讯作者:
Michor, Franziska
影响因子:
11.2
作者:
Enderling, Heiko;Anderson, Alexander R. A.;Hahnfeldt, Philip
通讯作者:
Hahnfeldt, Philip
DOI:
10.1073/pnas.1117849108
发表时间:
2012-01-10
影响因子:
11.1
作者:
Neumaier, Teresa;Swenson, Joel;Costes, Sylvain V.
通讯作者:
Costes, Sylvain V.