Mathematics Colloquium: Clinical implications of a data validated mathematical model of advanced prostate cancer growth
4:10pm Webster B11
Dr. Yang Kuang
(Complete Title: Clinical implications of a data validated mathematical model of advanced prostate cancer growth under intermittent androgen suppression therapy). Combining well formulated mathematical models with clinical data, we show that cycling patients on and off intermittent androgen suppression (IAS) treatment not only alleviates most serious side effects but also may postpone the development of the inevitable treatment resistance for some prostate cancer patients. Our model is adapted from proven ecological models that are based on ecological stoichiometric principle which in a nutshell states that the most limiting resource strongly regulate growth, death and mutation processes. With our clinical data validated model, clinicians may identify patients that are appropriate for the treatment and estimate the maximum length of treatment for a given patient. Our model in essence presents an effective modeling framework to model other types of cancer and infectious disease treatments where the resistance outcome is eventually expected.