肿瘤诱导血管生成的数学建模、模拟和预测。

Invasion & metastasis Pub Date : 1996-01-01
M A Chaplain, A R Anderson
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引用次数: 0

摘要

血管新生,即血管的形成,是毛细血管芽在外部化学刺激下形成的过程。在内皮细胞迁移和增殖的驱动下,芽生长发育,并将自己组织成树突结构。血管生成发生在胚胎发生、伤口愈合、关节炎和实体肿瘤生长期间。在本文中,我们提出了一个新的数学模型,该模型描述了在实体肿瘤提供的化学刺激(肿瘤血管生成因子,TAF)下毛细血管芽网络的形成。该模型还考虑了内皮细胞-细胞外基质通过在模型中包含纤维连接蛋白的相互作用。该模型由一个非线性偏微分方程系统组成,该系统描述了内皮细胞在空间和时间上对TAF和纤维连接蛋白的反应(迁移、增殖、吻合、分支)。使用偏微分方程离散系统,我们使用确定性细胞自动机(DCA)模型,使我们能够跟踪单个内皮细胞并将分支显式纳入模型。数值模拟结果与实验结果在定性上有很好的一致性。提出了一些实验,可以用来检验模型的假设,并讨论了模型的各种扩展和发展,特别是在抗血管生成策略方面的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical modelling, simulation and prediction of tumour-induced angiogenesis.

Angiogenesis, the formation of blood vessels from a pre-existing vasculature, is a process whereby capillary sprouts are formed in response to externally supplied chemical stimuli. The sprouts then grow and develop, driven by endothelial cell migration and proliferation, and organise themselves into a dendritic structure. Angiogenesis occurs during embryogenesis, wound healing, arthritis and during the growth of solid tumours. In this paper we present a novel mathematical model which describes the formation of the capillary sprout network in response to chemical stimuli (tumour angiogenesis factors, TAF) supplied by a solid tumour. The model also takes into account endothelial cell-extracellular matrix interactions via the inclusion of fibronectin in the model. The model consists of a system of nonlinear partial differential equations describing the response in space and time of endothelial cells to the TAF and the fibronectin (migration, proliferation, anastomosis, branching). Using the discretized system of partial differential equations, we use a deterministic cellular automata (DCA) model, which enables us to track individual endothelial cells and incorporate branching explicity into the model. Numerical simulations are presented which are in very good qualitative agreement with experimental observations. Certain experiments are suggested which could be used to test the hypotheses of the model and various extensions and developments of the model with particular applications to anti-angiogenesis strategies are discussed.

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