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A mathematical model with aberrant growth correction in tissue homeostasis and tumor cell growth

机译:组织稳态和肿瘤细胞生长异常生长校正的数学模型

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摘要

Cancer is usually considered a genetic disease caused by alterations in genes that control cellular behaviors, especially growth and division. Cancer cells differ from normal tissue cells in many ways that allow them to grow out of control and become invasive. However, experiments have shown that aberrant growth in many tissues burdened with varying numbers of mutant cells can be corrected, and wild-type cells are required for the active elimination of mutant cells. These findings reveal the dynamic cellular behaviors that lead to a tissue homeostatic state when faced with mutational and nonmutational insults. The current study was motivated by these observations and established a mathematical model of how a tissue copes with the aberrant behavior of mutant cells. The proposed model depicts the interaction between wild-type and mutant cells through a system of two delay differential equations, which include the random mutation of normal cells and the active extrusion of mutant cells. Based on the proposed model, we performed qualitative analysis to identify the conditions of either normal tissue homeostasis or uncontrolled growth with varying numbers of abnormal mutant cells. Bifurcation analysis suggests the conditions of bistability with either a small or large number of mutant cells, the coexistence of bistable steady states can be clinically beneficial by driving the state of mutant cell predominance to the attraction basin of the state with a low number of mutant cells. This result is further confirmed by the treatment strategy obtained from optimal control theory.
机译:癌症通常被认为是一种遗传性疾病,由控制细胞行为的基因改变引起,尤其是生长和分裂。癌细胞在许多方面与正常组织细胞不同,使它们生长失控并具有侵袭性。然而,实验表明,许多承载着不同数量突变细胞的组织中的异常生长是可以纠正的,并且需要野生型细胞来主动消除突变细胞。这些发现揭示了在面对突变和非突变性损伤时导致组织稳态状态的动态细胞行为。目前的研究受到这些观察的启发,并建立了一个组织如何应对突变细胞异常行为的数学模型。该模型通过两个延迟微分方程组描绘了野生型细胞和突变型细胞之间的相互作用,其中包括正常细胞的随机突变和突变细胞的主动挤压。基于所提出的模型,我们进行了定性分析,以确定正常组织稳态或不同数量的异常突变细胞不受控制的生长条件。分岔分析表明,在突变细胞数量少或数量多的情况下,双稳态的共存可以通过将突变细胞优势状态驱动到突变细胞数量较少的状态的吸引盆地,在临床上是有益的。从最优控制理论得到的治疗策略进一步证实了这一结果。

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