Group of Medical Physics and Biomathematics, Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain.
Department of Applied Mathematics, Universidade de Santiago de Compostela, Spain.
Cancer Res. 2019 Dec 1;79(23):6044-6053. doi: 10.1158/0008-5472.CAN-19-0181. Epub 2019 Oct 22.
There is increasing evidence that high doses of radiotherapy, like those delivered in stereotactic body radiotherapy (SBRT), trigger indirect mechanisms of cell death. Such effect seems to be two-fold. High doses may trigger an immune response and may cause vascular damage, leading to cell starvation and death. Development of mathematical response models, including indirect death, may help clinicians to design SBRT optimal schedules. Despite increasing experimental literature on indirect tumor cell death caused by vascular damage, efforts on modeling this effect have been limited. In this work, we present a biomathematical model of this effect. In our model, tumor oxygenation is obtained by solving the reaction-diffusion equation; radiotherapy kills tumor cells according to the linear-quadratic model, and also endothelial cells (EC), which can trigger loss of functionality of capillaries. Capillary death will affect tumor oxygenation, driving nearby tumor cells into severe hypoxia. Capillaries can recover functionality due to EC proliferation. Tumor cells entering a predetermined severe hypoxia status die according to a hypoxia-death model. This model fits recently published experimental data showing the effect of vascular damage on surviving fractions. It fits surviving fraction curves and qualitatively reproduces experimental values of percentages of functional capillaries 48 hours postirradiation, and hypoxic cells pre- and 48 hours postirradiation. This model is useful for exploring aspects of tumor and EC response to radiotherapy and constitutes a stepping stone toward modeling indirect tumor cell death caused by vascular damage and accounting for this effect during SBRT planning. SIGNIFICANCE: A novel biomathematical model of indirect tumor cell death caused by vascular radiation damage could potentially help clinicians interpret experimental data and design better radiotherapy schedules.
越来越多的证据表明,大剂量放疗(如立体定向体部放疗 [SBRT] 所采用的剂量)会引发细胞死亡的间接机制。这种效应似乎是双重的。高剂量放疗可能会引发免疫反应,并导致血管损伤,从而导致细胞饥饿和死亡。开发包括间接死亡在内的数学反应模型,可能有助于临床医生设计 SBRT 的最佳方案。尽管关于血管损伤引起的间接肿瘤细胞死亡的实验文献不断增加,但对这种效应进行建模的努力却有限。在这项工作中,我们提出了一种描述这种效应的生物数学模型。在我们的模型中,通过求解反应扩散方程来获得肿瘤氧合;放疗根据线性二次模型杀死肿瘤细胞,也会杀死内皮细胞(EC),从而导致毛细血管丧失功能。毛细血管死亡将影响肿瘤氧合,使附近的肿瘤细胞进入严重缺氧状态。由于 EC 的增殖,毛细血管可以恢复功能。进入预定严重缺氧状态的肿瘤细胞根据缺氧死亡模型死亡。该模型拟合了最近发表的实验数据,这些数据显示了血管损伤对存活分数的影响。它拟合了存活分数曲线,并定性地再现了辐射后 48 小时功能性毛细血管和缺氧细胞的百分比的实验值。该模型可用于探索肿瘤和 EC 对放疗的反应的各个方面,并为建模血管损伤引起的间接肿瘤细胞死亡以及在 SBRT 计划中考虑这种效应提供了一个起点。意义:一种新的血管辐射损伤引起的间接肿瘤细胞死亡的生物数学模型,可能有助于临床医生解释实验数据并设计更好的放疗方案。