The impact of intermittent androgen suppression therapy in prostate cancer modeling

Tin Phan, Kyle Nguyen, Preeti Sharma, Yang Kuang

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Previous studies on prostate cancer modeling under hormonal therapy successfully fit clinical serum androgen data, under the assumption that the levels of intracellular and serum androgen are similar. However, such an assumption may not hold throughout the course of treatment. In this paper, we propose a model that directly accounts for serum androgen and its interaction with intracellular androgen. We establish biological links between the model and clinical data, and discuss in detail parameter ranges and the initialization of model variables. We further investigate parameter sensitivity over time, which gauges the maximum effect of varying each parameter and allows us to fix some parameters, to increase the robustness of the parameter fitting process. By relying on the characteristics of intermittent androgen suppression therapy (IAS), we employ a two-part weighted error function for fitting. We also carry out mathematical analyses to study the dynamic aspects of the system with different androgen thresholds. We find that the proposed model shows superior forecasting ability, compared to its predecessor. Furthermore, we demonstrate the impact of androgen on the dynamics of the androgen-dependent and -independent cancer cells, which suggests the discrete description of androgen dependency may not give a realistic characterization of the cancer population. We show that IAS has certain characteristics that need to be considered for parameter estimation. Our results demonstrate that the model and the fitting scheme are viable for similar applications of prostate cancer modeling under hormonal therapy.

Original languageEnglish (US)
Article number36
JournalApplied Sciences (Switzerland)
Volume9
Issue number1
DOIs
StatePublished - Dec 22 2018

Fingerprint

Androgens
therapy
cancer
retarding
serums
error functions
fixing
forecasting
thresholds
sensitivity
Parameter estimation
Gages
Cells
interactions

Keywords

  • Cell quota models
  • Data fitting
  • Intermittent androgen suppression therapy
  • Prostate cancer modeling

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

Cite this

The impact of intermittent androgen suppression therapy in prostate cancer modeling. / Phan, Tin; Nguyen, Kyle; Sharma, Preeti; Kuang, Yang.

In: Applied Sciences (Switzerland), Vol. 9, No. 1, 36, 22.12.2018.

Research output: Contribution to journalArticle

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