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Updated: Oct 12, 2025

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
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Intermittent Hormone Therapy Models Analysis and Bayesian Model Comparison for Prostate Cancer.

S Pasetto1, H Enderling2,3,4, R A Gatenby2,5

  • 1Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA. stefano.pasetto@moffitt.org.

Bulletin of Mathematical Biology
|November 19, 2021
PubMed
Summary
This summary is machine-generated.

Intermittent androgen deprivation therapy (ADT) for prostate cancer shows promise. Mathematical models help predict patient response and identify optimal treatment strategies by analyzing prostate-specific antigen (PSA) dynamics.

Keywords:
Intermittent hormone therapy modelsProstate cancer

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Area of Science:

  • Urology
  • Mathematical Oncology
  • Computational Biology

Background:

  • Prostate cancer treatment relies on androgen deprivation therapy (ADT).
  • Continuous ADT faces challenges with cancer cell resistance.
  • Intermittent ADT offers a potential alternative with reduced toxicity.

Purpose of the Study:

  • To compare 13 mathematical models simulating intermittent ADT response.
  • To assess model ability in describing prostate-specific antigen (PSA) dynamics.
  • To identify models that best fit clinical data for prostate cancer patients.

Main Methods:

  • Bayesian inference and model analysis applied to 13 intermittent dynamical models.
  • Models calibrated using longitudinal PSA data from a clinical trial.
  • Bayesian model comparison used to evaluate model evidence and likelihood.

Main Results:

  • Identified models capable of distinguishing between relapsing and non-relapsing patients.
  • Determined parameter intervals for potential clinical exploitation of critical points.
  • Several models demonstrated strong ability to simulate patient-specific PSA dynamics.

Conclusions:

  • Mathematical models are valuable tools for understanding intermittent ADT response in prostate cancer.
  • Specific models show high potential for predicting patient outcomes and guiding treatment.
  • Further analysis can refine model application for clinical decision-making in prostate cancer management.