赖秀兰副教授受邀进行讲座

发布时间: 2021-01-16 16:58:00

题      目：Mathematical modeling about the scheduling of combination cancer therapy with immune checkpoint inhibitors

报 告 人：赖秀兰副教授   中国人民大学

时      间：2021-01-15 15:00--18:00

地      点：线上会议

报告人简介:

       赖秀兰副教授于2014年毕业于加拿大西安大略大学（University of Western Ontario）应用数学系。现任中国人民大学数学学院副教授。主要从事生物医学相关问题的数学建模、理论分析、数值模拟等方面研究。在PNAS, Science China Mathematics, Journal of Differential Equations, SIAM Journal of Applied Math, Journal of Theoretical Biology, BMC System Biology, Journal of the Royal Society Interface, PLoS ONE, Bulletin of Mathematical Biology, DCDS-B 等SCI期刊发表20余篇论文。

摘      要：

       There has been much progress in recent years in developing checkpoint inhibitors, primarily PD-1 antibodies and PD-L1 antibodies. However, because of lack of tumor-infiltrating effector T cells, many patients in clinical trials do not respond to checkpoint inhibitor treatment. It was recently suggested that the combination of an immune checkpoint inhibitor and another anti-tumor drug, such as a chemotherapy drug or radiotherapy, may function synergistically to induce more effective antitumor immune responses. The questions in the design of cancer clinical trials with combination of two drugs includes in which proportion (dosage) and in which order to administer the drugs.

In this talk, I will address the scheduling question by mathematical modeling approaches.

We considered the combination therapies of cancer with a checkpoint inhibitor and a cancer vaccine (or anti-VEGF) using mathematical models. We use mathematical models to explore the efficacy (synergistic or antagonistic) of the two drugs and the appropriate dosage and timing of the combination treatment.