Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing

Annelies Van Hemelryk1, Lisanne Mout1,2, Sigrun Erkens-Schulze1

  • 1Department of Urology, Erasmus University Medical Center, Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands.

Biomolecules
|November 27, 2021
PubMed

Insights

Three-dimensional (3D) organoid structure and scaffolds significantly impact prostate cancer (PCa) drug efficacy. Careful interpretation of organoid drug responses is crucial for reproducible preclinical research.

Area of Science:

  • Oncology
  • Biotechnology
  • Cancer Research

Background:

  • Organoid models are revolutionizing preclinical cancer research, particularly for prostate cancer (PCa).
  • Reproducibility in organoid drug testing is hindered by experimental variability.
  • PCa organoids show reduced sensitivity to drugs like cabazitaxel, abiraterone, and enzalutamide compared to single cells.

Purpose of the Study:

  • To investigate how three-dimensional (3D) organoid organization and scaffolds affect prostate cancer drug efficacy.
  • To understand the impact of scaffold type, spatial distribution, and organoid size on treatment response.

Main Methods:

  • Live-cell imaging was employed to monitor androgen receptor (AR) nuclear translocation and tubulin stabilization.
  • The study analyzed the effects of different 3D scaffolds (Matrigel, synthetic hydrogel), organoid distribution, and organoid size on drug treatment outcomes.

Main Results:

  • 3D scaffolds delayed AR translocation and tubulin stabilization, with Matrigel showing a more pronounced delay than synthetic hydrogel.
  • Scaffolds led to incomplete tubulin stabilization.
  • Central organoid location within scaffolds and larger organoid size attenuated drug effects, particularly in the organoid core.

Conclusions:

  • 3D organoid structure and scaffold properties significantly influence drug efficacy in preclinical models.
  • Interpreting organoid drug responses requires careful consideration of technical factors like scaffold type, organoid size, and spatial distribution.
  • Dedicated read-outs are necessary for accurate and reproducible organoid drug testing in cancer research.

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