Mathematical modeling of radiotherapy and its impact on tumor interactions with the immune system

被引:31
作者
Bekker, Rebecca Anne [1 ]
Kim, Sungjune [2 ]
Pilon-Thomas, Shari [3 ]
Enderling, Heiko [1 ,2 ]
机构
[1] H Lee Moffitt Canc Ctr & Res Inst, Dept Integrated Math Oncol, Tampa, FL 33612 USA
[2] H Lee Moffitt Canc Ctr & Res Inst, Dept Radiat Oncol, Tampa, FL 33612 USA
[3] H Lee Moffitt Canc Ctr & Res Inst, Dept Immunol, Tampa, FL USA
来源
NEOPLASIA | 2022年 / 28卷
基金
美国国家卫生研究院;
关键词
Tumor immune interactions; Radiotherapy; Immunotherapy; Mathematical model; Personalized oncology; INDUCED DNA-DAMAGE; RADIATION-THERAPY; NORMAL TISSUE; SOLID TUMORS; DOSE-RATE; CELL; CANCER; CARCINOMA; DYNAMICS; FUTURE;
D O I
10.1016/j.neo.2022.100796
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Radiotherapy is a primary therapeutic modality widely utilized with curative intent. Traditionally tumor response was hypothesized to be due to high levels of cell death induced by irreparable DNA damage. However, the immunomodulatory aspect of radiation is now widely accepted. As such, interest into the combination of radiotherapy and immunotherapy is increasing, the synergy of which has the potential to improve tumor regression beyond that observed after either treatment alone. However, questions regarding the timing (sequential vs concurrent) and dose fractionation (hyper-, standard-, or hypo-fractionation) that result in improved anti-tumor immune responses, and thus potentially enhanced tumor inhibition, remain. Here we discuss the biological response to radiotherapy and its immunomodulatory properties before giving an overview of pre-clinical data and clinical trials concerned with answering these questions. Finally, we review published mathematical models of the impact of radiotherapy on tumor-immune interactions. Ranging from considering the impact of properties of the tumor microenvironment on the induction of anti-tumor responses, to the impact of choice of radiation site in the setting of metastatic disease, these models all have an underlying feature in common: the push towards personalized therapy.
引用
收藏
页数:13
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