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Updated: Mar 1, 2026
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Generation of Tumor Organoids from Genetically Engineered Mouse Models of Prostate Cancer
Published on: June 13, 2019
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Stochastic modelling of prostate progenitor architecture.
Christo Morison1, Esther Baena2, Weini Huang3
1School of Mathematical Sciences, Queen Mary University of London, London, UK; Department of Applied Mathematics and Statistics, Comenius University, Bratislava, Slovakia.
Computers in Biology and Medicine
|February 27, 2026
Summary
Mathematical models reveal how prostate cancer emerges from different cell types. Tumors from basal cells spread slower but are more aggressive, while luminal cell under-regulation drives rapid growth.
Area of Science:
- Oncology
- Mathematical Biology
- Cell Biology
Background:
- Prostate cancer is a major global health issue.
- Understanding prostate cellular structure and tumor origin is crucial for treatment.
- Phenotypic plasticity and intermediate cell types complicate prostate cell classification.
Purpose of the Study:
- To model prostate cancer emergence using stochastic simulations.
- To investigate the impact of cell type structure on cancer development and treatment.
- To explore the role of different cell compartments in tumor initiation and progression.
Main Methods:
- Developed a compartment model simulating healthy and fit mutant cells.
- Incorporated phenotypic switching between basal, luminal, and hybrid cell types.
- Used stochastic simulations to measure cancer emergence probability and tumor latency.
Main Results:
- Under-regulation of the luminal compartment facilitates rapid cancer population growth.
- Tumors originating in the basal compartment exhibit longer latency, higher aggressiveness, and persistence.
- The inclusion of a hybrid compartment did not significantly alter observed outcomes.
Conclusions:
- Prostate tissue structure and cell type interactions significantly influence cancer emergence and behavior.
- Luminal and basal cell compartments play distinct roles in prostate cancer initiation and progression.
- The mechanistic role of intermediate phenotypes in prostate cancer requires further investigation.
