15th Annual Symposium
Physics of Cancer
Leipzig, Germany
Sept. 30 - Oct. 2, 2024
Contributed Talk
Precision and Personalized Adaptive Hormone Control of Metastatic Prostate Cancer
Trung Phan1, Shengkai Li2, Benjamin Howe2, Sarah Amend3, Kenneth Pienta3, Joel Brown4, Robert Gatenby4, Constantine Frangakis1, Robert Austin2, Yannis Keverkidis1
1Department of Chemical and Biomolecular Engineering, John Hopkins University, Baltimore, MD 21218, USA
2Department of Physics, Princeton University, Princeton, NJ 08544, USA
3Cancer Ecology Center, The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
4Departments of Radiology and Integrated Mathematical Oncology, Moffitt Cancer Center,, Tampa, FL 33612, USA
Contact:  | Website
We utilize a Stuckleberg game theoretic multi-population model of prostate cancer, where the oncologist is the game leader and optimizes dosage schedule based on Bayesian feed-forward analysis of the initial prostate-specific drug response levels of the patient. Our approach focuses on a quantitative understanding of the parameter landscape of such an adaptive multi-population model and how to stabilize drug insensitive prostate cancer and arrest its progression via competition with drug sensitive cancer cell populations. We show that for some patients it is possible to significantly prolong the time period of cancer suppression, or even make the metastatic prostate chronic rather than acute.
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