报 告 题 目：Modeling about prediction and improvement of therapeutic efficacy of immune checkpoint inhibitors against cancer

主 讲 人：赖 秀 兰

单 位：中国人民大学

时 间：11月30日9:00

腾 讯 ID: 731-232-911

密 码：221130

摘 要：

Immune checkpoint inhibitors have been shown to be highly successful against some solid metastatic malignancies, but the overall patient response rate is limited due to the interpatient heterogeneity. In this project, we explored the effect of favorable and unfavorable gut bacteria on the therapeutic efficacy of anti-PD-1 against cancer by modeling the tumor-immune-gut microbiome interactions, and further examined the predictive markers of responders and non-responders to anti-PD-1. The dynamics alteration of PD-L1 expression status during cancer evolution and treatment are also obstacles for PD-1/PD-L1 inhibitors. We established a comprehensive modeling and computational framework for estimating the dynamic alternation of PD-L1 heterogeneity during cancer progression and treatment, and predicting the overall survival of patients, and further explored the adaptive therapy of administering anti-PD-L1 according to dynamic of PD-L1 state among cancer cells.

简 介：

赖秀兰，中国人民大学副教授，博士毕业于加拿大西安大略大学应用数学系，2014-2018年期间在中国人民大学数学科学研究院和美国俄亥俄州立大学从事博士后研究，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，包括关于癌症的数学建模，感染者体内病毒动力学研究。在PNAS, Science China Mathematics, SIAM Journal of Applied Math, Journal of Differential Equations, Journal of Theoretical Biology, BMC System Biology, Journal of the Royal Society Interface, PLoS ONE, Bulletin of Mathematical Biology, DCDS-B等核心期刊发表20余篇论文，主持国家自然科学基金面上项目。