Patient-derived Organoids in Bladder Cancer: Opportunities and Challenges

Martina Radić1, Martin Egger2, Marianna Kruithof-de Julio3

  • 1Department for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.

European Urology Focus
|September 5, 2024
PubMed
Abstract

Insights

Patient-derived organoids (PDOs) offer a personalized approach to bladder cancer (BLCa) research and treatment. These 3D models, derived from patient samples, show promise for predicting therapeutic responses and advancing precision medicine in BLCa.

Area of Science:

  • Oncology
  • Biotechnology
  • Translational Medicine

Background:

  • Bladder cancer (BLCa) presents significant challenges due to high recurrence rates and limited therapeutic options.
  • Patient-derived organoids (PDOs) are emerging as a powerful tool for personalized cancer research and drug screening.
  • PDOs offer a promising platform for modeling BLCa biology and predicting individual patient responses to treatment.

Purpose of the Study:

  • To explore the potential of PDOs in advancing bladder cancer research and treatment strategies.
  • To emphasize the translational clinical applications of PDOs in precision oncology.
  • To assess the feasibility of deriving PDOs from minimally invasive samples like blood and urine.

Main Methods:

  • A narrative review format was adopted due to the scarcity of published data on BLCa PDOs.
  • A comprehensive PubMed search was conducted for existing data on PDOs in cancer research.
  • Screening of ongoing clinical trials utilizing PDOs in precision medicine was performed.

Main Results:

  • Patient-derived bladder cancer organoids provide a personalized model closely mimicking the patient's tumor.
  • PDOs can aid in identifying novel treatment options and predicting patient response to therapies.
  • Utilizing minimally invasive samples for PDO derivation can enhance patient participation in research.

Conclusions:

  • BLCa PDOs hold significant potential for advancing precision medicine and personalizing cancer treatment.
  • Standardized protocols for PDO generation and clinical application require further development.
  • The impact of PDOs on patient outcomes and the ideal clinical integration strategies need to be determined.

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