首页> 外文会议>Proceedings of the 41st Heat Transfer and Fluid Mechanics Institute >MODELING AND SIMULATION OF AVASCULAR TUMOR GROWTH: THE EFFECT OF CELL MIGRATION
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MODELING AND SIMULATION OF AVASCULAR TUMOR GROWTH: THE EFFECT OF CELL MIGRATION

机译:血管肿瘤生长的建模与模拟:细胞迁移的影响

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A quantitative analysis of tumor growth at the tumor scale may be of value to therapeutic strategies that aim to control disease extension into surrounding healthy tissue. Our aim is to model avascular tumor growth due to directed cell motions and investigate the role of different taxis and biophysical parameters on tumor growth. Using one dimensional numerical simulation, we will present the results of a parameter study of tumor growth with a range of biophysical and taxis parameters and investigate the causal link between these parameters on tumor growth and the internal tumor structure. We will consider the evolution of live and dead tumor cells using a sharp interface model where species movement depends on oncotic pressure from cell proliferation, adhesion forces between cell-cell and cell- extracellullar matrix (ECM), and relative strength of chemotaxis, due to the nutrient gradient and soluble ECM gradient, and haptotaxis due to the gradient of insoluble ECM. Using our multispecies tumor model, it is possible to estimate, for a given initial tumor, how far it will invade and thus allow for both qualitative and quantitative comparisons with experimental and clinical data. The results show that the tumor biophysical parameters (e.g., cell viability limit, rate of necrosis and degradation of the necrotic core) has a great impact on the quantitative aspects of the tumor progression, such as the size of viable region, necrotic region, the amount of invasion into the host tissue, the rate of growth and internal structure of the tumors. Among the taxis parameters, the haptotaxis due to intact ECM gradients affects strongly the tumor equilibrium radius compared to the chemotaxis due to soluble ECM gradients and nutrient gradients. Chemotaxis of soluble ECM gradient works against invasion but at a negligible rate.
机译:在肿瘤规模上对肿瘤生长进行定量分析可能对旨在控制疾病扩展至周围健康组织的治疗策略有价值。我们的目的是模拟由于定向细胞运动引起的无血管肿瘤生长,并研究不同的出租车和生物物理参数对肿瘤生长的作用。使用一维数值模拟,我们将介绍一系列生物物理和滑行参数对肿瘤生长的参数研究结果,并研究这些参数对肿瘤生长和内部肿瘤结构之间的因果关系。我们将使用一个清晰​​的界面模型来考虑活体和死亡肿瘤细胞的进化,其中物种运动取决于细胞增殖的渗透压,细胞与细胞与细胞外基质之间的粘附力以及趋化性的相对强度,这是由于营养梯度和可溶性ECM梯度,以及由于不溶性ECM的梯度引起的触觉。使用我们的多物种肿瘤模型,可以针对给定的初始肿瘤估计其侵袭程度,从而可以与实验和临床数据进行定性和定量比较。结果表明,肿瘤的生物物理参数(例如细胞活力极限,坏死率和坏死核心的降解)对肿瘤进展的定量方面有很大影响,例如生存区的大小,坏死区,侵入宿主组织的数量,肿瘤的生长速率和内部结构。在滑行参数中,与完整的ECM梯度相比,趋化性与可溶性ECM梯度和营养物梯度导致的趋化性相比,对肿瘤平衡半径的影响很大。可溶性ECM梯度的趋化作用可防止入侵,但速率可忽略不计。

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