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赵改平 陈二云 沈力行 郦鸣阳 吴洁 许世雄 丁皓. 内皮抑素抑制肿瘤血管生成的数值模拟[J]. 力学学报, 2009, 41(5): 794-800. DOI: 10.6052/0459-1879-2009-5-2008-122
引用本文: 赵改平 陈二云 沈力行 郦鸣阳 吴洁 许世雄 丁皓. 内皮抑素抑制肿瘤血管生成的数值模拟[J]. 力学学报, 2009, 41(5): 794-800. DOI: 10.6052/0459-1879-2009-5-2008-122
Jie Wu, Shixiong Xu. Numerical simulation of inhibitory effects of endostatin on tumor angiogenesis[J]. Chinese Journal of Theoretical and Applied Mechanics, 2009, 41(5): 794-800. DOI: 10.6052/0459-1879-2009-5-2008-122
Citation: Jie Wu, Shixiong Xu. Numerical simulation of inhibitory effects of endostatin on tumor angiogenesis[J]. Chinese Journal of Theoretical and Applied Mechanics, 2009, 41(5): 794-800. DOI: 10.6052/0459-1879-2009-5-2008-122

内皮抑素抑制肿瘤血管生成的数值模拟

Numerical simulation of inhibitory effects of endostatin on tumor angiogenesis

  • 摘要: 数值模拟抗血管生成药物内皮抑素对肿瘤血管生成的抑制效应. 建立内皮抑素作用下肿瘤内外血管生成的二维、三维离散数学模型,模型中考虑内皮抑素的抑制作用、内皮细胞自身的增殖、促血管生成因子TAF和Fibronectin对内皮细胞产生的趋化性和趋触性以及内皮细胞自身扩散引起的随机性运动,数值模拟肿瘤内外微血管网的生成过程. 模拟结果表明,抗血管生成药物内皮抑素对肿瘤内外血管生成的速度、成熟度以及血管分支数量均有明显的抑制作用,从而有效地抑制肿瘤新生血管的形成. 该模型能够较好地模拟内皮抑素对肿瘤血管内皮细胞迁移与增殖的抑制效应,为临床抗血管生成治疗肿瘤提供有益的信息.

     

    Abstract: The inhibitory effects of anti-angiogenic drug Endostatinon tumor angiogenesis are simulated by adopting 2D and 3D discretemathematical models, which are used to describe the formation of capillarynetworks inside and outside the tumor. In the discrete mathematical models,five factors were mainly taken into account the influence of the migrationof endothelial cells: (i) proliferation and (ii) random motility of theendothelial cells; (iii) chemotaxis in response to tumor angiogenic factor(TAF) released by the tumor; (iv) haptotaxis in response to fibronectingradients in the extracellular matrix, especially the inhibitory action ofanti-angiogenic drug Endostatin, and (v) inhibitory effects of Endostatin.Meanwhile, spatiotemporal evolution of 2D and 3D tumor microvascularnetworks is performed. The simulation results indicate that anti-angiogenicdrug Endostatin obviously has the inhibitory effects on the rate of bloodvessels growth, the bifurcation amount and the development of themicrovascular network inside and outside the tumor. Furthermore, themicrovascular networks generated by the present mathematical models haverelatively realistic structure and morphology inside and outside the tumor.These results may provide beneficial information for anti-angiogenesistreatment of tumor and further clinical research.

     

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