Negligible Long-Term Impact of Nonlinear Growth Dynamics on Heterogeneity in Models of Cancer Cell Populations.

IF 2 4区 数学 Q2 BIOLOGY
Stefano Giaimo, Saumil Shah, Michael Raatz, Arne Traulsen
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引用次数: 0

Abstract

Linear compartmental models are often employed to capture the change in cell type composition of cancer cell populations. Yet, these populations usually grow in a nonlinear fashion. This begs the question of how linear compartmental models can successfully describe the dynamics of cell types. Here, we propose a general modeling framework with a nonlinear part capturing growth dynamics and a linear part capturing cell type transitions. We prove that dynamics in this general model are asymptotically equivalent to those governed only by its linear part under a wide range of assumptions for nonlinear growth.

非线性生长动力学对肿瘤细胞群模型异质性的长期影响可忽略不计。
线性区室模型经常被用来捕捉癌细胞群的细胞类型组成的变化。然而,这些人口通常以非线性的方式增长。这就引出了线性区室模型如何成功地描述细胞类型动态的问题。在这里,我们提出了一个通用的建模框架,其中非线性部分捕获生长动态,线性部分捕获细胞类型转换。在广泛的非线性增长假设条件下,证明了该一般模型的动力学与仅由其线性部分控制的动力学是渐近等价的。
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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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