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放射免疫反应建模——现状与展望

Modeling Radioimmune Response-Current Status and Perspectives.

作者信息

Friedrich Thomas, Henthorn Nicholas, Durante Marco

机构信息

Biophysics Department, GSI Helmholtz Center for Heavy Ion Research, Darmstadt, Germany.

Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.

出版信息

Front Oncol. 2021 Mar 16;11:647272. doi: 10.3389/fonc.2021.647272. eCollection 2021.

Abstract

The combination of immune therapy with radiation offers an exciting and promising treatment modality in cancer therapy. It has been hypothesized that radiation induces damage signals within the tumor, making it more detectable for the immune system. In combination with inhibiting immune checkpoints an effective anti-tumor immune response may be established. This inversion from tumor immune evasion raises numerous questions to be solved to support an effective clinical implementation: These include the optimum immune drug and radiation dose time courses, the amount of damage and associated doses required to stimulate an immune response, and the impact of lymphocyte status and dynamics. Biophysical modeling can offer unique insights, providing quantitative information addressing these factors and highlighting mechanisms of action. In this work we review the existing modeling approaches of combined 'radioimmune' response, as well as associated fields of study. We propose modeling attempts that appear relevant for an effective and predictive model. We emphasize the importance of the time course of drug and dose delivery in view to the time course of the triggered biological processes. Special attention is also paid to the dose distribution to circulating blood lymphocytes and the effect this has on immune competence.

摘要

免疫疗法与放射疗法相结合在癌症治疗中提供了一种令人兴奋且前景广阔的治疗方式。据推测,放射会在肿瘤内诱导损伤信号,使其更易被免疫系统察觉。与抑制免疫检查点相结合,可能会建立有效的抗肿瘤免疫反应。这种从肿瘤免疫逃逸的转变引发了众多有待解决的问题,以支持有效的临床应用:这些问题包括最佳免疫药物和放射剂量的时间进程、刺激免疫反应所需的损伤量和相关剂量,以及淋巴细胞状态和动态的影响。生物物理建模可以提供独特的见解,提供解决这些因素的定量信息并突出作用机制。在这项工作中,我们回顾了现有的“放射免疫”联合反应的建模方法以及相关研究领域。我们提出了似乎与有效和预测性模型相关的建模尝试。鉴于所触发生物过程的时间进程,我们强调药物和剂量递送时间进程的重要性。还特别关注循环血液淋巴细胞的剂量分布及其对免疫能力的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e80f/8008061/d3add6d28f6b/fonc-11-647272-g001.jpg

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