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肿瘤生长动力学以及抗血管生成与细胞毒性疗法的联合应用

Dynamics of tumor growth and combination of anti-angiogenic and cytotoxic therapies.

作者信息

Kohandel M, Kardar M, Milosevic M, Sivaloganathan S

机构信息

Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.

出版信息

Phys Med Biol. 2007 Jul 7;52(13):3665-77. doi: 10.1088/0031-9155/52/13/001. Epub 2007 May 24.

Abstract

Tumors cannot grow beyond a certain size (about 1-2 mm in diameter) through simple diffusion of oxygen and other essential nutrients into the tumor. Angiogenesis, the formation of blood vessels from pre-existing vessels, is a crucial and observed step, through which a tumor obtains its own blood supply. Thus, strategies that interfere with the development of this tumor vasculature, known as anti-angiogenic therapy, represent a novel approach to controlling tumor growth. Several pre-clinical studies have suggested that currently available angiogenesis inhibitors are unlikely to yield significant sustained improvements in tumor control on their own, but rather will need to be used in combination with conventional treatments to achieve maximal benefit. Optimal sequencing of anti-angiogenic treatment and radiotherapy or chemotherapy is essential to the success of these combined treatment strategies. Hence, a major challenge to mathematical modeling and computer simulations is to find appropriate dosages, schedules and sequencing of combination therapies to control or eliminate tumor growth. Here, we present a mathematical model that incorporates tumor cells and the vascular network, as well as their interplay. We can then include the effects of two different treatments, conventional cytotoxic therapy and anti-angiogenic therapy. The results are compared with available experimental and clinical data.

摘要

肿瘤无法通过氧气和其他必需营养物质简单地扩散到肿瘤内部来生长超过一定大小(直径约1-2毫米)。血管生成,即从已有的血管形成新的血管,是一个关键且已被观察到的步骤,通过这一步骤肿瘤获得自身的血液供应。因此,干扰这种肿瘤脉管系统发育的策略,即抗血管生成疗法,代表了一种控制肿瘤生长的新方法。多项临床前研究表明,目前可用的血管生成抑制剂不太可能单独在肿瘤控制方面产生显著的持续改善,而是需要与传统治疗联合使用以实现最大益处。抗血管生成治疗与放疗或化疗的最佳顺序对于这些联合治疗策略的成功至关重要。因此,数学建模和计算机模拟面临的一个主要挑战是找到联合治疗的合适剂量、方案和顺序,以控制或消除肿瘤生长。在此,我们提出一个数学模型,该模型纳入了肿瘤细胞和血管网络以及它们之间的相互作用。然后我们可以纳入两种不同治疗方法的效果,即传统的细胞毒性疗法和抗血管生成疗法。将结果与现有的实验和临床数据进行比较。

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