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肿瘤生长、血管生成和免疫反应的混合模型产生了改善抗血管生成治疗的策略。

Hybrid model of tumor growth, angiogenesis and immune response yields strategies to improve antiangiogenic therapy.

作者信息

Hadjigeorgiou Andreas G, Stylianopoulos Triantafyllos

机构信息

Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus.

出版信息

NPJ Biol Phys Mech. 2024;1(1):4. doi: 10.1038/s44341-024-00002-2. Epub 2024 Dec 2.

Abstract

Solid tumors harbor a complex and dynamic microenvironment that hinders the delivery and efficacy of therapeutic interventions. In this study, we developed and utilized a hybrid, discrete-continuous mathematical model to explore the interplay between solid tumor growth, immune response, tumor-induced angiogenesis, and antiangiogenic drugs. By integrating published data with anti-angiogenic drugs, we elucidate three primary mechanisms by which anti-angiogenesis influences tumor progression and treatment outcomes: reduction in tumor growth rate by mitigating and temporally delaying angiogenesis, normalization of blood vessel structure and function, and improving immune cell extravasation and activation. Our results indicate a significant increase in functional blood vessels and perfusion following anti-angiogenic treatment, which in turn improves the intratumoral distribution of immune cells. The normalization window, or optimal time frame for anti-angiogenic drug administration, and the dose of the drug arise naturally in the model and are highlighted as crucial factors in maximizing treatment benefits. Prolonged anti-angiogenic treatment triggers cancer cell migration into healthy tissue and induces immunosuppression due to hypoxia, potentially leading to negative effects because these cancer cells will rapidly proliferate upon treatment termination. In conclusion, the positive contribution of anti-angiogenic treatment must balance the possible negative effects by choosing a proper treatment protocol as well as combining it with proper anti-cancer treatment. Our findings provide valuable insights and a framework for the design of protocols with anti-angiogenic treatment, targeted immunotherapy, and non-targeted anti-cancer therapies.

摘要

实体瘤具有复杂且动态变化的微环境,这会阻碍治疗干预措施的递送及疗效。在本研究中,我们开发并运用了一种混合的离散 - 连续数学模型,以探究实体瘤生长、免疫反应、肿瘤诱导的血管生成及抗血管生成药物之间的相互作用。通过整合已发表的关于抗血管生成药物的数据,我们阐明了抗血管生成影响肿瘤进展和治疗结果的三种主要机制:通过减轻和暂时延迟血管生成来降低肿瘤生长速率、使血管结构和功能正常化,以及改善免疫细胞的外渗和激活。我们的结果表明,抗血管生成治疗后功能性血管和灌注显著增加,这反过来又改善了免疫细胞在肿瘤内的分布。抗血管生成药物给药的正常化窗口或最佳时间框架以及药物剂量在模型中自然出现,并被强调为最大化治疗益处的关键因素。长期的抗血管生成治疗会引发癌细胞迁移至健康组织,并因缺氧诱导免疫抑制,可能导致负面影响,因为这些癌细胞在治疗终止后会迅速增殖。总之,抗血管生成治疗的积极作用必须通过选择合适的治疗方案并将其与合适的抗癌治疗相结合来平衡可能的负面影响。我们的研究结果为设计包含抗血管生成治疗、靶向免疫治疗和非靶向抗癌治疗的方案提供了有价值的见解和框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1619/11698377/67caf9af3d4c/44341_2024_2_Fig1_HTML.jpg

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