ReviewJournal of translational medicine2025
Renal cell carcinoma organoids for precision medicine: bridging the gap between models and patients.
Review in Journal of translational medicine, 2025. 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.
- Article
- Advances in organoids for personalized medicine: from technological development to clinical application.Frontiers in cell and developmental biology · 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
Renal cell carcinoma (RCC) poses significant challenges to precision oncology due to its pronounced molecular heterogeneity and complex tumor microenvironment (TME). Traditional two-dimensional (2D) cultures and animal models fall short in capturing patient-specific tumor biology, limiting their translational relevance. In contrast, three-dimensional (3D) organoid platforms offer structurally and functionally representative models that retain key pathological and pharmacological features of RCC. Notably, RCC organoids enable pharmacokinetic assessment, including drug penetration, metabolic activation, and off-target toxicity in a spatially organized context. This review outlines current strategies for RCC organoid construction-including patient-derived organoids (PDOs), air-liquid interface (ALI) cultures, scaffold-based matrices, and microfluidic systems-and evaluates their applications in drug screening, resistance modeling, and immunotherapy prediction. We further discuss technical and biological limitations such as phenotypic drift, inter-sample variability, and TME reconstruction, alongside emerging solutions in synthetic scaffolds, immune co-cultures, and multi-omics integration. In conclusion, RCC organoids are rapidly evolving into clinically actionable platforms, offering a scalable and predictive approach to personalized therapy in renal oncology.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.