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Updated: Jun 22, 2026

Creating Matched In vivo/In vitro Patient-Derived Model Pairs of PDX and PDX-Derived Organoids for Cancer Pharmacology Research
Published on: May 5, 2021
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.
Abstract:
Urogenital cancers, including prostate, kidney, and bladder cancer, remain a significant clinical challenge due to their high incidence, molecular heterogeneity, and frequent resistance to standard therapies. Despite progress in genomic profiling and precision oncology, the translation of molecular data into effective therapeutic decisions remains limited by the lack of functional models capable of capturing tumor complexity. Patient-derived organoids (PDOs) have emerged as transformative tools in this context, offering the unique advantage of preserving the genetic, phenotypic, and functional features of individual tumors ex vivo. Beyond their well-established applications in drug screening and resistance studies, PDOs contribute to personalized treatment strategies by enabling functional molecular stratification, modeling tumor-microenvironment interactions, and predicting the efficacy of targeted and immunotherapeutic approaches. When integrated with liquid biopsy analyses, PDOs also allow real-time tracking of clonal evolution and can be repeatedly generated during the disease course, providing dynamic insights that guide longitudinal treatment decisions. As organoid biobanking and multi-omic integration advance, PDOs are poised to evolve into clinically actionable avatars that complement genomic profiling and help tailor therapeutic strategies for patients with urogenital cancers. Nevertheless, the clinical integration of PDOs still faces important barriers, including variability in culture protocols, incomplete representation of the native tumor microenvironment, and the time required for organoid establishment. Moreover, the predictive value of PDO-based drug screening-although promising-needs rigorous prospective validation in large patient cohorts. This review highlights the pivotal role of PDOs in bridging the gap between laboratory research and clinical oncology, emphasizing their application in guiding personalized therapeutic strategies. As organoid biobanking and genomic profiling expand, the integration of PDOs into precision oncology pipelines holds promise for reshaping the clinical management of urogenital malignancies and advancing toward truly individualized cancer treatment.
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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