Evidence map›Paper›PMID 41121193›Full record

ReviewJournal of translational medicine2025

Renal cell carcinoma organoids for precision medicine: bridging the gap between models and patients.

Jian Gao, Huijiu Luo, Shiyu Wang, Chao Zhou, Zhenhao Li, Chea Kimhoy, Guobiao Liang, Shulian Chen

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jian GaoDepartment of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Huijiu LuoDepartment of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Shiyu WangDepartment of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Chao ZhouDepartment of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Zhenhao LiDepartment of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Chea KimhoyDepartment of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Guobiao LiangDepartment of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China. Guobiaoliang001@163.com.
Shulian ChenDepartment of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China. csl@zmu.edu.cn.ORCID 0009-0008-7808-0764

Funding

Doctoral Foundation of the Affiliated Hospital of Zunyi Medical University Grant No. 201801Guizhou Science and Technology Department Grant No. ZK2021380
6 · The paper itself

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

Carcinoma, Renal CellKidney NeoplasmsModels, BiologicalOrganoidsPrecision MedicineAnimalsHumansTumor Microenvironment3D culture systemsDrug screeningImmunotherapyMolecular heterogeneityOrganoidsPatient-derived modelsPrecision oncologyRenal cell carcinomaTranslational researchTumor microenvironment

Identifiers

PMID41121193
PMCPMC12542246

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.