Mathematical modeling of cancer treatment with radiation and PD-L1 inhibitor

Radiation therapy is a longstanding cancer treatment. More recently, it has been demonstrated that radiation therapy (RT) elicits anti-cancer immune response. For this reason, there is a growing interest in combining RT with immunotherapy, specifically with checkpoint inhibitors such as anti-CTLA-4...

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Bibliographic Details
Published in:Science China. Mathematics 2020-03, Vol.63 (3), p.465-484
Main Authors: Lai, Xiulan, Friedman, Avner
Format: Article
Language:English
Subjects:
Applications of Mathematics
Cancer therapies
Computer simulation
Immune system
Mathematical analysis
Mathematical models
Mathematics
Mathematics and Statistics
Radiation therapy
Schedules
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Summary:Radiation therapy is a longstanding cancer treatment. More recently, it has been demonstrated that radiation therapy (RT) elicits anti-cancer immune response. For this reason, there is a growing interest in combining RT with immunotherapy, specifically with checkpoint inhibitors such as anti-CTLA-4 and anti-PD-L1. In the present paper, we develop a mathematical model of combination therapy with RT and anti-PD-L1. The model is used to compare different schedules in clinical trials. Simulations of the model show that applying both RT and anti-PD-L1 at the same week has more benefits than applying them in separate adjacent weeks. Furthermore, applying anti-PD-L1 before RT has more benefits than applying RT before anti-PD-L1.
ISSN:1674-7283
1869-1862
DOI:10.1007/s11425-019-1648-6