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非线性生长动力学对癌细胞群体模型中异质性的长期影响可忽略不计。

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

作者信息

Giaimo Stefano, Shah Saumil, Raatz Michael, Traulsen Arne

机构信息

Department of Theoretical Biology, Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, Plön, 24306, Germany.

出版信息

Bull Math Biol. 2025 Jan 3;87(2):18. doi: 10.1007/s11538-024-01395-w.

DOI:10.1007/s11538-024-01395-w
PMID:39751987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11698897/
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.

摘要

线性房室模型常用于描述癌细胞群体中细胞类型组成的变化。然而,这些群体通常以非线性方式生长。这就引出了一个问题:线性房室模型如何能够成功地描述细胞类型的动态变化。在此,我们提出了一个通用的建模框架,其中非线性部分用于捕捉生长动态,线性部分用于捕捉细胞类型转变。我们证明,在对非线性生长的广泛假设下,这个通用模型中的动态与仅由其线性部分所支配的动态是渐近等价的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25b/11698897/dd9062a7e18f/11538_2024_1395_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25b/11698897/dd9062a7e18f/11538_2024_1395_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a25b/11698897/dd9062a7e18f/11538_2024_1395_Fig1_HTML.jpg

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Unraveling non-genetic heterogeneity in cancer with dynamical models and computational tools.利用动力系统模型和计算工具揭示癌症中的非遗传异质性。
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Understanding and leveraging phenotypic plasticity during metastasis formation.
理解并利用转移形成过程中的表型可塑性。
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Population dynamics of EMT elucidates the timing and distribution of phenotypic intra-tumoral heterogeneity.上皮-间质转化(EMT)的群体动力学阐明了肿瘤内表型异质性的时间和分布。
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Designing experimental conditions to use the Lotka-Volterra model to infer tumor cell line interaction types.设计实验条件,使用洛特卡-沃尔泰拉模型推断肿瘤细胞系相互作用类型。
J Theor Biol. 2023 Feb 21;559:111377. doi: 10.1016/j.jtbi.2022.111377. Epub 2022 Dec 5.
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