Dr. Yougan Cheng, Quantitative Systems Pharmacology at Daiichi Sankyo, Inc. (DSI)
Abstract: Quantitative systems pharmacology (QSP) is a discipline that incorporates elements of systems biology and pharmacodynamics with an emphasis on dynamic systems modeling, often with the goal to quantitatively predict the effects of clinical interventions, their combinations, and their doses on clinical biomarkers and endpoints. In order to achieve this goal, strategies for incorporating clinical data into model calibration are critical. Virtual population (VPop) approaches facilitate model calibration while faced with challenges encountered in QSP model application, including modeling a breadth of clinical therapies, biomarkers, endpoints, utilizing data of varying structure and source, capturing observed clinical variability, and simulating with models that may require substantial computational time and resources. In this talk, I will present an algorithmically automated iterative VPop development workflow and demonstrate how it was applied to an Immuno-Oncology (I-O) muti-therapy QSP disease platform that focuses on mechanisms of action of a Cytotoxic T Lymphocyte Associated Protein 4 (CTLA4) targeted immunotherapy and a programmed cell death protein 1 (PD-1) targeted immunotherapy. By applying the VPop development workflow, the resulting VPop could accurately predict second line anti-CTLA4 therapy after progression on anti-PD1 therapy, as well as the anti-CTLA4 and anti-PD1 therapy combination response. Applications of I-O QSP disease platforms and VPops to new clinical assets development will also be discussed.
Bio: Yougan Cheng PhD is currently Director, Quantitative Systems Pharmacology at Daiichi Sankyo, Inc. (DSI), leading the I-O QSP Model Development Team responsible for the translational pharmacology and clinical development of assets in Immuno-Oncology using QSP disease modeling. Prior to DSI, he was at Bristol Myers Squibb heading the Oncology/Immuno-Oncology Solid Tumor QSP team. Before that, he was a postdoctoral fellow in the School of Mathematics at the University of Minnesota working on mathematical modeling and computational analysis of cell motility. Dr. Cheng obtained his PhD in Applied Mathematics from Case Western Reserve University. His dissertation focuses on computational models of brain energy metabolism at different scales.
Meeting ID: 998 2458 4542
Passcode: 475065