Dynamical Stability Analysis Of Tumor Growth And Invasion: A Reaction- Diffusion Model

Oncogen Pub Date : 2019-05-10 DOI:10.35702/onc.10020
A. Fouad
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引用次数: 1

Abstract

The acid-mediated tumor invasion hypothesis proposes that altered glucose metabolism exhibited by the vast majority of tumors leads to increased acid (H+ ion) production which subsequently facilitates tumor invasion [1-3]. The reaction-diffusion model [2] that captures the key elements of the hypothesis shows how the densities of normal cells, tumor cells, and excess H+ ions change with time due to both chemical reactions between these three populations and density-dependent diffusion by which they spread out in three-dimensional space. Moreover, it proposes that each cell has an optimal pH for survival; that is, if the local pH deviates from the optimal value in either an acidic or alkaline direction, the cells begin to die, and that the death rate saturates at some maximum value when the microenvironment is extremely acidic or alkaline. We have previously studied in detail how the death-rate functions of the normal and tumor populations depend upon the H+ ion density [4]. Here, we extend previous work by investigating how the equilibrium densities (at which the time rates of change of the cellular densities are equal to zero) reached by the normal and tumor populations in three-dimensional space are affected by the presence of the H+ ions, and we present detailed analytical and computational techniques to analyze the dynamical stability of these equilibrium densities. For a sample set of biological input parameters and within the acid-mediation hypothesis, our model predicts the transformation to a malignant behavior, as indicated by the presence of unstable sets of equilibrium densities.
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肿瘤生长和侵袭的动力学稳定性分析:一个反应扩散模型
酸介导的肿瘤侵袭假说认为,绝大多数肿瘤表现出的葡萄糖代谢改变导致酸(H+离子)产生增加,从而促进肿瘤侵袭[1-3]。反应-扩散模型[2]捕捉了该假设的关键要素,它显示了正常细胞、肿瘤细胞和过量H+离子的密度如何随时间变化,这是由于这三种细胞之间的化学反应和它们在三维空间中扩散的密度依赖扩散。此外,它提出每个细胞都有一个适合生存的最佳pH值;即,如果局部pH值在酸性或碱性方向上偏离最佳值,细胞开始死亡,当微环境极度酸性或碱性时,死亡率达到某个最大值。我们之前已经详细研究了正常和肿瘤人群的死亡率函数是如何依赖于H+离子密度的。在这里,我们通过研究正常和肿瘤群体在三维空间中达到的平衡密度(细胞密度的时间变化率等于零)如何受到H+离子存在的影响来扩展先前的工作,并且我们提出了详细的分析和计算技术来分析这些平衡密度的动态稳定性。对于生物输入参数的样本集,在酸中介假设中,我们的模型预测了向恶性行为的转变,正如不稳定平衡密度集的存在所表明的那样。
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