Evolutionary Dynamics of Cancer and Its Response to Treatment

Date Thursday November 09, 2017 at 4:00 PM
Location 13-105 CHS (Center for the Health Sciences)
Speaker Ivana Bozic, Ph.D., Dept. of Applied Mathematics, Univ. of Washington
Sponsoring Dept UCLA Biomathematics
Abstract Cancer is the result of a stochastic evolutionary process characterized by the accumulation of mutations that are responsible for tumor growth, immune escape, and drug resistance, as well as mutations with no effect on the phenotype. Stochastic modeling can be used to describe the dynamics of tumor cell populations and to obtain insights into the hidden evolutionary processes leading to cancer. I will present recent approaches that use branching process models of cancer evolution to quantify intra-tumor heterogeneity and the development of drug resistance, and their implications for interpretation of cancer sequencing data and the design of optimal treatment strategies.
Flyer 2017119_Ivana_Bozic_flyer.pdf