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Stability analysis of mathematical models for nonlinear growth kinetics of breast cancer stem cells

机译:乳腺癌干细胞非线性生长动力学数学模型的稳定性分析

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Cancer stem cells are responsible for tumor survival and resurgence and are thus essential in developing novel therapeutic strategies against cancer. Mathematical models can help understand cancer stem and differentiated cell interaction in tumor growth, thus having the potential to help in designing experiments to develop novel therapeutic strategies against cancer. In this paper, by using theory of functional and ordinary differential equations, we study the existence and stability of nonlinear growth kinetics of breast cancer stem cells. First, we provide a sufficient condition for the existence and uniqueness of the solution for nonlinear growth kinetics of breast cancer stem cells. Then we study the uniform asymptotic stability of the zero solution. By using linearization techniques, we also provide a criteria for uniform asymptotic stability of a nontrivial steady-state solution with and without time delays. We present a theorem from complex analysis that gives certain conditions that allow for this criteria to be satisfied. Next, we apply these theorems to a special case of the system of functional differential equations that has been used to model nonlinear growth kinetics of breast cancer stem cells. The theoretical results are further justified by numerical testing examples. Consistent with the theories, our numerical examples show that the time delays can disrupt the stability. All the results can be easily extended to study more general cell lineage models. Copyright (C) 2017 JohnWiley & Sons, Ltd.
机译:癌症干细胞负责肿瘤存活和复兴,因此对于开发针对癌症的新疗法策略至关重要。数学模型可以帮助了解肿瘤生长中的癌症茎和分化的细胞相互作用,从而有可能有助于设计实验,以制定对癌症的新疗效策略。本文通过使用功能性和常微分方程的理论,我们研究了乳腺癌干细胞非线性生长动力学的存在和稳定性。首先,我们为乳腺癌干细胞非线性生长动力学溶液的存在性和唯一性提供了足够的条件。然后我们研究零解的均匀渐近稳定性。通过使用线性化技术,我们还提供了一种具有且不时间延迟的非稳态稳定溶液的均匀渐近稳定性的标准。我们从复杂分析中介绍了一个定理,它提供了某些条件,允许满足这一标准。接下来,我们将这些定理应用于用于模拟乳腺癌干细胞非线性生长动力学的功能微分方程系统的特殊情况。理论结果通过数值测试例进一步证明。与理论一致,我们的数值示例表明时间延迟可能会破坏稳定性。所有结果都可以轻松扩展,以研究更多的通用细胞谱系模型。版权所有(c)2017年Johnwiley&Sons,Ltd。

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