Kazakh Mathematical Journal

“Analysis and Applied Mathematics” Еженедельный онлайн семинар

Bahçeşehir University, Istanbul, Turkey

Analysis & PDE Center, Ghent University, Ghent, Belgium

 Institute Mathematics & Math. Modeling, Almaty, Kazakhstan

 “Analysis and Applied Mathematics”

Weekly Online Seminar

 

Date: Tuesday, February 8, 2022

Time: 13.00-14.00 (GMT+3, Istanbul) = 11.00-12.00 (Ghent) = 16.00-17.00 (Almaty)

Zoom link

https://us02web.zoom.us/j/6678270445?pwd=SFNmQUIvT0tRaHlDaVYrN3l5bzJVQT09

Conference ID: 667 827 0445Access code: 1

Speaker: Assist. Prof. Ardak Kashkynbayev

Nazarbayev University, Nur-Sultan, Kazakhstan

Title: Models of hormone treatment for prostate cancer: 
Can fractional models predict the outcomes?
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 effects 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 accuracy when fitting clinical data during simulation. More refined models presented hypothesizes an AI population with increased sensitivity to low levels of androgen and these models generate high levels of accuracy in fitting clinical data. In general, we found that biologically more plausible models can forecast future PSA levels more accurately.
 
Forthcoming talks can be found on our webpage
https://sites.google.com/view/aam-seminars

 

 

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