Harnessing the Heterogeneity of Prostate Cancer for Target Discovery Using Patient-Derived Explants

Margaret M Centenera1,2,3, Andrew D Vincent1,2, Max Moldovan4

  • 1Adelaide Medical School, University of Adelaide, North Terrace, Adelaide, SA 5000, Australia.

Cancers
|April 12, 2022
PubMed

Insights

Patient-derived explants (PDEs) offer a more accurate model for prostate cancer research than traditional cell lines. Multi-omics analysis of prostate cancer PDEs is essential for discovering new drug targets and biomarkers.

Area of Science:

  • Oncology
  • Translational Research
  • Genomics

Background:

  • Prostate cancer research is hindered by reliance on limited cell lines that do not reflect disease complexity.
  • Patient-derived explants (PDEs) are emerging as superior preclinical models, preserving tumor heterogeneity and molecular diversity.
  • Analyzing matched tumor samples from PDEs offers unique research opportunities.

Purpose of the Study:

  • To provide guidance on utilizing prostate cancer patient-derived explants (PDEs) for research.
  • To address the analytical challenges associated with the heterogeneity of prostate cancer PDEs.
  • To demonstrate the feasibility and importance of multi-omics analysis in PDEs for drug and biomarker discovery.

Main Methods:

  • Utilized over 10 years of experience with prostate cancer patient-derived explants (PDEs).
  • Developed statistical modeling approaches to manage prostate cancer PDE heterogeneity.
  • Applied multi-omics analysis to PDEs treated with heat shock protein 90 (Hsp90) inhibitors.

Main Results:

  • Prostate cancer PDEs accurately reflect clinical disease, retaining critical tumor features and molecular diversity.
  • Multi-omics analysis in prostate cancer PDEs is feasible and essential for identifying key biological pathways.
  • Hsp90 inhibitors demonstrated a robust proliferative response in PDE models.

Conclusions:

  • Patient-derived explants (PDEs) represent a significant advancement over traditional cell lines for prostate cancer research.
  • Multi-omics analysis of prostate cancer PDEs is crucial for uncovering novel drug targets and biomarkers.
  • This study provides a framework for leveraging PDEs to overcome limitations in prostate cancer drug and biomarker discovery.

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