应我校数学科学学院邀请，中国人民大学赖秀兰教授将于2023年7月20日为我院教师和研究生讲学。欢迎数学科学学院及全校相关教师、博士生、硕士生参加!

报告题目：Dynamics of anti-cancer combination therapy in an evolutionary point of view

报告人：赖秀兰教授

报告人单位：中国人民大学

时间：2023年7月20日（周四）下午18：00

报告地点：数学科学学院7楼报告厅

主办单位：重点建设与发展工作处、数学科学学院

赖秀兰教授简介：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大学生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。

报告摘要：The emergence and growth of drug-resistant cancer cell subpopulations during anti-cancer treatment is a major challenge for cancer therapies. Combination therapies are usually applied for overcoming drug resistance. In the present work, we explored the evolution outcome of tumor cell populations under different combination schedules of chemotherapy and p53 vaccine, by construction of replicator dynamical model for sensitive cells, chemotherapy-resistant cells and p53 vaccine-resistant cells. The local asymptotic stability analysis of the evolutionary stable points revealed that cancer population could evolve to the population with single subpopulation, or coexistence of sensitive cells and p53 vaccine-resistant cells, or coexistence of chemotherapy-resistant cells and p53 vaccine-resistant cells under different monotherapy or combination schedules. The design of adaptive therapy schedules that maintain the subpopulations under control is also demonstrated by sequential and periodic application of combination treatment strategies based on the evolutionary velocity and evolutionary absorbing regions.

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