Toward Personalized Treatment of Urogenital Cancers: The Role of Patient-Derived Organoids

Serena Sagliocchi1, Michele Musone2, Stefano Chianese2

  • 1Department of Clinical Medicine and Surgery, University of Naples "Federico II", 80131, Naples, Italy.

Oncology and Therapy
|January 8, 2026
PubMed

Insights

Patient-derived organoids (PDOs) offer a functional model for urogenital cancers, improving personalized treatment by predicting drug efficacy and guiding therapy decisions. Further validation is needed for widespread clinical integration.

Area of Science:

  • Oncology
  • Translational Medicine
  • Cancer Biology

Background:

  • Urogenital cancers present significant challenges due to heterogeneity and treatment resistance.
  • Current precision oncology is limited by the lack of functional models to capture tumor complexity.
  • Patient-derived organoids (PDOs) preserve tumor features ex vivo, offering a promising solution.

Purpose of the Study:

  • To review the pivotal role of PDOs in advancing personalized therapeutic strategies for urogenital cancers.
  • To highlight PDO applications in drug screening, resistance studies, and predicting treatment efficacy.
  • To discuss the potential of PDOs in complementing genomic profiling for tailored cancer treatment.

Main Methods:

  • Review of existing literature on patient-derived organoids in urogenital cancer research.
  • Analysis of PDO applications in drug screening, modeling tumor microenvironment, and predicting therapeutic response.
  • Integration of PDOs with liquid biopsy and multi-omic data for longitudinal tracking of cancer evolution.

Main Results:

  • PDOs enable functional molecular stratification and prediction of targeted/immunotherapy efficacy.
  • Integration with liquid biopsy allows real-time tracking of clonal evolution and dynamic treatment guidance.
  • PDOs serve as clinically actionable avatars complementing genomic profiling for urogenital cancer management.

Conclusions:

  • PDOs bridge the gap between research and clinical oncology for urogenital malignancies.
  • Further integration of PDOs into precision oncology pipelines promises to reshape cancer treatment.
  • Addressing barriers like culture variability and TME representation is crucial for clinical translation.

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