DATA VALIDATED MODEL OF ANDROGEN SUPPRESSION FOR PROSTATE CANCER AND ITS INSIGHTS
Javier Baez Jr., Yang Kuang.
Arizona State University, Tempe, AZ.
Mathematical models are essential in our efforts to forecast and quantify the treatment effectiveness of prostate cancer patients undergoing intermittent androgen deprivation (IAD). We developed a simple mathematical model to study IAD and used clinical data to validate our model using measurements of patients’ androgen levels and prostate specific antigen (PSA). Our model is the first to fit both measured PSA and androgen levels accurately. We also present mathematical analysis of our model that is biologically meaningful and raise more biological questions.