报告题目：Tumor-immune dynamics with an immune checkpoint inhibitor

报 告 人：Yang Kuang（况阳） 教授（Arizona State University）

负 责 人：王开发

报告时间：2025年05月19日（星期一）下午3:00－4:00

报告地点：数学大楼912报告厅

参加人员：教师、研究生、本科生

摘要：Immune checkpoint inhibitors (ICIs) are a novel cancer therapy that may induce tumor regression across multiple types of cancer. Key factors in the tumor-immune response include the checkpoint protein programmed death-1 (PD-1) and its ligand PD-L1. We present a mathematical tumor-immune model using a system of ordinary differential equations (ODEs) to study dynamics with the use of anti-PD-1. We conducted a systematic mathematical analysis to determine the stability of the tumor-free and tumorous equilibria. Through simulations, we found that a normally functioning immune system may control tumor. We observe treatment with anti-PD-1 alone may not be sufficient to eradicate tumor cells. Therefore, it may be beneficial to combine single agent treatments with additional therapies to obtain a better antitumor response. Indeed, the interest in combining the ICIs with other forms of treatments is growing as not all patients benefit from monotherapy. We present a model of ODEs to investigate the combination treatments of the ICI avelumab and the immunostimulant NHS-muIL12. We validated the model using the average tumor volume data. Numerical simulations suggest that the two drugs act synergistically. Specifically, compared to monotherapy, only about one-third the dose of both drugs is required in combination for tumor control.

报告人简介：Yang Kuang is a professor of mathematics at Arizona State University (ASU) since 1988. He received his B.Sc from the University of Science and Technology of China in 1984 and his Ph.D degree in mathematics in 1988 from the University of Alberta. Dr. Kuang is the author of more than 200 refereed journal publications and 16 books (including 11 special issues) and the founder and editor of Mathematical Biosciences and Engineering. He has directed 28 Ph.D dissertations in mathematical and computational biology and several major (funding exceeding $1m) multi-disciplinary research projects in US. He is well known for his efforts in developing practical theories to the study of delay differential equation models and models incorporating resource quality in biology and medicine. His recent research interests focus on the formulation and validation of scientifically well-grounded and analytically tractable mathematical models to describe the rich and intriguing dynamics of cell population growth and various within-host diseases (including cancers) and their treatments.