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Updated: Apr 4, 2026

Pre-clinical Orthotopic Murine Model of Human Prostate Cancer
Published on: August 29, 2016
Unveiling the Clinical Potential of Prostate Cancer Three-dimensional Models: A Systematic Review.
Arthur Peyrottes1, Norbert de Brek2, Anne-Sophie Vieira Aleixo3
1Department of Urology, Hôpital Saint-Louis, AP-HP, Université Paris Cité, Paris, France.
Patient-derived organoids (PDOs) offer a promising 3D model for prostate cancer (PCa) research, accurately reflecting tumor biology and predicting drug responses. Standardization challenges remain, but PDOs show potential for precision oncology applications.
Area of Science:
- Oncology
- Biotechnology
- Genomics
Background:
- Patient-derived organoids (PDOs) and organotypic slice tissues are advanced 3D models for prostate cancer (PCa) research.
- These models preserve tumor architecture and molecular features, but their translational utility in precision oncology needs further definition.
Purpose of the Study:
- To systematically evaluate the feasibility, molecular accuracy, and translational potential of 3D prostate cancer models.
- This systematic review aims to define the role of these models in advancing PCa research and treatment.
Main Methods:
- A systematic literature review was conducted following PRISMA guidelines, screening studies up to December 2024.
- Data extraction focused on organoid generation, molecular profiling, biomarker discovery, and drug testing outcomes from human-derived PCa 3D models.
Main Results:
- PDO establishment success rates varied (15-90%), influenced by sample type and disease stage.
- PDOs demonstrated high genomic, transcriptomic, and epigenetic concordance with patient tumors, capturing key alterations in AR signaling, TP53, and PTEN.
- Drug screening in PDOs recapitulated known responses and identified resistance mechanisms, though microenvironment limitations and establishment time persist.
Conclusions:
- Prostate cancer 3D models provide a relevant, patient-specific platform for studying tumor biology and predicting treatment outcomes.
- Despite ongoing challenges in standardization and scalability, organoids hold significant potential for integration into precision oncology pipelines.
- These models are valuable for identifying novel biomarkers and advancing personalized medicine approaches in PCa.
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