Modeling of radiation effects to immune system: a review

被引:9
作者
Sung, Wonmo [1 ]
Cho, Byungchul [2 ]
机构
[1] Catholic Univ Korea, Coll Med, Dept Biomed Engn & Biomed & Hlth Sci, Seoul, South Korea
[2] Univ Ulsan, Asan Med Ctr, Dept Radiat Oncol, Coll Med, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Radiotherapy; Immunotherapy; Immune checkpoint inhibitor; Mathematical modeling; Machine learning; Outcome prediction; CELL LUNG-CANCER; LYMPHOCYTE COUNTS; ESOPHAGEAL CANCER; SURVIVAL; LYMPHOPENIA; IMPACT; CHEMORADIOTHERAPY; CHEMOTHERAPY; CARCINOMA; THERAPY;
D O I
10.1007/s40042-022-00574-z
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Cancer metastasis is the major cause of cancer mortality and accounts for about 90% of cancer death. Although radiation therapy has been considered to reduce the localized cancer burden, emerging evidence that radiation can potentially turn tumors into an in situ vaccine has raised significant interest in combining radiation with immunotherapy. However, the combination approach might be limited by the radiation-induced immunosuppression. Assessment of radiation effects on the immune system at the patient level is critical to maximize the systemic antitumor response of radiation. In this review, we summarize the developed solutions in three different categories for systemic radiation therapy: blood dose, radiation-induced lymphopenia, and tumor control. Furthermore, we address how they could be combined to optimize radiotherapy regimens and maximize their synergy with immunotherapy.
引用
收藏
页码:1013 / 1019
页数:7
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