ReviewOncology and therapy2026
Toward Personalized Treatment of Urogenital Cancers: The Role of Patient-Derived Organoids.
Review in Oncology and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Multi-omics profiling identifies CDK1 as a key mediator of mitosis through the PTN pathway in bladder cancer.Future science OA · 2026Article
- The tumor microenvironment: a dynamic ecosystem and therapeutic nexus in modern oncology.Frontiers in pharmacology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.