报告人：赖秀兰教授

题目：Modeling about prediction and improvement of therapeutic efficacy of immune checkpoint inhibitors against cancer

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.

报告地点：理学楼401

报告时间：2023年7月21 日10:30-11:30

报告人简介：赖秀兰，中国人民大学数学科学研究院教授，2014年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老员工物数学所从事博士后研究，主要从事生物医学相关问题预测模型的数学建模、理论分析、数值模拟等方面研究，主题包括关于癌症诊断和治疗的数学建模研究、细胞内物质传输与神经系统疾病的多尺度模型研究、感染者体内病毒动力学研究等。在PNAS, BMC System Biology, PLoS ONE, Journal of Theoretical Biology, Journal of the Royal Society Interface, SIAM Journal of Applied Math, Bulletin of Mathematical Biology, DCDS-B等SCI核心期刊发表20篇论文。