Predictive Mathematical Models of Hormone Treatment for Prostate Cancer

发布时间：2021-12-10 作者：浏览次数：

Speaker:	况阳	DateTime:	2021年12月15日（周三）上午8：30-9：30
Brief Introduction to Speaker: 况阳教授，Arizona State University (ASU)		Place:	腾讯会议：383169058
Abstract:Prostate cancer is commonly treated by a form of hormone therapy called androgen suppression. This form of treatment, while successful at reducing the cancer cell population, adversely affects quality of life and typically leads to a recurrence of the cancer in an androgen- independent form. Intermittent androgen suppression aims to alleviate some of these adverse affects by cycling the patient on and off treatment. Clinical studies have suggested that intermittent therapy is capable of maintaining androgen dependence over multiple treatment cycles while increasing quality of life during off-treatment periods. We present several mathematical models of prostate cancer growth to study the dynamics of androgen suppression therapy and the production of prostate-specific antigen (PSA), a clinical marker for prostate cancer. Biologically crude models were based on the assumption of an androgen independent (AI) cell population with constant net growth rate. These models gave poor ...

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