Finley Stacey D, Chu Liang-Hui, Popel Aleksander S
Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Drug Discov Today. 2015 Feb;20(2):187-97. doi: 10.1016/j.drudis.2014.09.026. Epub 2014 Oct 5.
Angiogenesis is an exquisitely regulated process that is required for physiological processes and is also important in numerous diseases. Tumors utilize angiogenesis to generate the vascular network needed to supply the cancer cells with nutrients and oxygen, and many cancer drugs aim to inhibit tumor angiogenesis. Anti-angiogenic therapy involves inhibiting multiple cell types, molecular targets, and intracellular signaling pathways. Computational tools are useful in guiding treatment strategies, predicting the response to treatment, and identifying new targets of interest. Here, we describe progress that has been made in applying mathematical modeling and bioinformatics approaches to study anti-angiogenic therapeutics in cancer.
血管生成是一个受到精确调控的过程，它是生理过程所必需的，在许多疾病中也很重要。肿瘤利用血管生成来构建为癌细胞提供营养和氧气所需的血管网络，许多抗癌药物旨在抑制肿瘤血管生成。抗血管生成疗法涉及抑制多种细胞类型、分子靶点和细胞内信号通路。计算工具在指导治疗策略、预测治疗反应以及识别新的感兴趣靶点方面很有用。在这里，我们描述了在应用数学建模和生物信息学方法研究癌症抗血管生成治疗方面所取得的进展。
