Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19919-43344, Iran.
Department of Applied Mathematics, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Math Biosci Eng. 2023 Jan 13;20(3):5448-5480. doi: 10.3934/mbe.2023252.
Anti-angiogenesis as a treatment strategy for normalizing the microvascular network of tumors is of great interest among researchers, especially in combination with chemotherapy or radiotherapy. According to the vital role that angiogenesis plays in tumor growth and in exposing the tumor to therapeutic agents, this work develops a mathematical framework to study the influence of angiostatin, a plasminogen fragment that shows the anti-angiogenic function, in the evolutionary behavior of tumor-induced angiogenesis. Angiostatin-induced microvascular network reformation is investigated in a two-dimensional space by considering two parent vessels around a circular tumor by a modified discrete angiogenesis model in different tumor sizes. The effects of imposing modifications on the existing model, i.e., the matrix-degrading enzyme effect, proliferation and death of endothelial cells, matrix density function, and a more realistic chemotactic function, are investigated in this study. Results show a decrease in microvascular density in response to the angiostatin. A functional relationship exists between angiostatin's ability to normalize the capillary network and tumor size or progression stage, such that capillary density decreases by 55%, 41%, 24%, and 13% in tumors with a non-dimensional radius of 0.4, 0.3, 0.2, and 0.1, respectively, after angiostatin administration.
抗血管生成作为一种使肿瘤微血管网络正常化的治疗策略,引起了研究人员的极大兴趣,尤其是与化疗或放疗联合使用时。鉴于血管生成在肿瘤生长和使肿瘤暴露于治疗剂方面的重要作用,这项工作开发了一个数学框架,以研究血管生成抑制素(一种具有抗血管生成功能的纤溶酶原片段)对肿瘤诱导的血管生成进化行为的影响。通过考虑围绕圆形肿瘤的两条母血管,在不同的肿瘤大小下,使用改进的离散血管生成模型在二维空间中研究了血管生成抑制素诱导的微血管网络重构。本研究考察了对现有模型(即基质降解酶效应、内皮细胞的增殖和死亡、基质密度函数以及更现实的趋化函数)进行修改的效果。结果表明,血管生成抑制素会导致微血管密度降低。血管生成抑制素使毛细血管网络正常化的能力与肿瘤大小或进展阶段之间存在功能关系,即在血管生成抑制素给药后,非尺度半径为 0.4、0.3、0.2 和 0.1 的肿瘤中,毛细血管密度分别降低 55%、41%、24%和 13%。