A minimal modeling framework of radiation and immune system synergy to assist radiotherapy planning
A minimal modeling framework of radiation and immune system synergy to assist radiotherapy planning
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DOI：
10.1016/j.jtbi.2019.110099
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发表时间：
2020-02-07
影响因子：
2
通讯作者：
Meyer-Hermann, Michael
中科院分区：
文献类型：
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作者：
Montaseri, Ghazal;Alfonso, Juan Carlos Lopez;Meyer-Hermann, Michael
最近的证据表明，放射治疗的能力，诱导局部和全身肿瘤特异性免疫反应的免疫原性细胞死亡的结果。然而，在临床实践中常规使用的分割方案通常忽略了辐射和免疫系统之间的协同作用，而是试图通过辐射对癌细胞的直接致死作用来完全根除肿瘤。由于在治疗计划期间考虑辐射诱导的抗肿瘤免疫的潜在益处，预计这种范式将在不久的将来发生变化。为了实现这一目标，我们提出了一个最小的建模框架的基础上的关键方面的肿瘤免疫系统的相互作用，以模拟辐射对肿瘤的影响和放射治疗的免疫后果。肿瘤相关血管和肿瘤内氧介导的异质性对治疗结果的影响正在研究中。该模型提供了在给定一定数量的治疗分次的情况下肿瘤根除所需的最小辐射剂量的估计。此外，还可以获得给定预定分数辐射剂量的疾病控制的治疗持续时间的估计。虽然在本质上是理论性的，但这项研究激励了放射治疗计划中基于免疫的决策支持工具的开发和建立。(C)2019爱思唯尔有限公司版权所有。
Recent evidence indicates the ability of radiotherapy to induce local and systemic tumor-specific immune responses as a result of immunogenic cell death. However, fractionation regimes routinely used in clinical practice typically ignore the synergy between radiation and the immune system, and instead attempt to completely eradicate tumors by the direct lethal effect of radiation on cancer cells. This paradigm is expected to change in the near future due to the potential benefits of considering radiation-induced antitumor immunity during treatment planning. Towards this goal, we propose a minimal modeling framework based on key aspects of the tumor-immune system interplay to simulate the effects of radiation on tumors and the immunological consequences of radiotherapy. The impacts of tumor-associated vasculature and intratumoral oxygen-mediated heterogeneity on treatment outcomes are ininvestigated. The model provides estimates of the minimum radiation doses required for tumor eradication given a certain number of treatment fractions. Moreover, estimates of treatment duration for disease control given predetermined fractional radiation doses can be also obtained. Although theoretical in nature, this study motivates the development and establishment of immune-based decision-support tools in radiotherapy planning. (C) 2019 Elsevier Ltd. All rights reserved.