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Effect of heterogeneity and spatial correlations on the structure of a tumor invasion front in cellular environments

机译:异质性和空间相关性对蜂窝环境中肿瘤侵袭前沿的结构的影响

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Analysis of invasion front has been widely used to decipher biological properties, as well as the growth dynamics of the corresponding populations. Likewise, the invasion front of tumors has been investigated, from which insights into the biological mechanisms of tumor growth have been gained. We develop a model to study how tumors' invasion front depends on the relevant properties of a cellular environment. To do so, we develop a model based on a nonlinear reaction-diffusion equation, the Fisher-Kolmogorov-Petrovsky-Piskunov equation, to model tumor growth. Our study aims to understand how heterogeneity in the cellular environment's stiffness, as well as spatial correlations in its morphology, the existence of both of which has been demonstrated by experiments, affects the properties of tumor invasion front. It is demonstrated that three important factors affect the properties of the front, namely the spatial distribution of the local diffusion coefficients, the spatial correlations between them, and the ratio of the cells' duplication rate and their average diffusion coefficient. Analyzing the scaling properties of tumor invasion front computed by solving the governing equation, we show that, contrary to several previous claims, the invasion front of tumors and cancerous cell colonies cannot be described by the well-known models of kinetic growth, such as the Kardar-Parisi-Zhang equation.
机译:侵袭前部的分析已被广泛用于破译生物学性质,以及相应群体的生长动态。同样,已经研究了肿瘤的侵袭前部,从中获得了肿瘤生长的生物机制的见解。我们开发一种模型来研究肿瘤的入侵前线如何取决于细胞环境的相关性质。为此,我们开发基于非线性反应扩散方程,Fisher-Kolmogorov-Petrovsky-PICKUNOV方程的模型,以模拟肿瘤生长。我们的研究旨在了解细胞环境刚度的异质性,以及在其形态中的空间相关性,两者都通过实验证明了两者的存在影响肿瘤侵袭前沿的性质。结果证明,三个重要因素影响前部的性质,即局部扩散系数的空间分布,它们之间的空间相关性和细胞复制率与其平均扩散系数的比率。通过求解控制方程来分析肿瘤侵袭前的缩放特性,我们表明,与前述权利要求相反,肿瘤和癌细胞菌落的侵袭前方不能通过公知的动力学生长来描述,例如Kardar-Parisi-Zhang方程。

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