Evidence map›Paper›PMID 40696357›Full record

ReviewWorld journal of surgical oncology2025

Harnessing organoid technology in urological cancer: advances and applications in urinary system tumors.

Xiaoting Wang, Danyan Lin, Ninghan Feng

Abstract readReview
In one paragraph

Review in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. The Urinary Microbiota and the Gut-Bladder Axis in Bladder Cancer.International journal of molecular sciences · 2025
    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

3 authors.

Xiaoting WangDepartment of Urology, Jiangnan University Medical Center (Wuxi No. 2, People's Hospital), No. 68, Zhongshan Road, Jiangsu Province, 214000, China. xiaotingwang@msn.com.
Danyan LinWuxi School of Medicine, Jiangnan University, Wuxi, China.
Ninghan FengDepartment of Urology, Jiangnan University Medical Center (Wuxi No. 2, People's Hospital), No. 68, Zhongshan Road, Jiangsu Province, 214000, China. n.feng@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The organoid approach preserves the intricate molecular and genetic characteristics of tumor tissues, playing a pivotal role in advancing precision oncology. This preservation enables the exploration of cancer therapies and in vitro validation of drug efficacy. Organoids have emerged as indispensable tools in the study of urological cancers, facilitating research on tumorigenesis, drug testing, and the development of therapeutic combinations. Their superiority over traditional 2D cell cultures and patient-derived xenograft (PDX) models lies in their enhanced ability to more accurately replicate the in vivo environment. Modern organoid platforms integrate 3D bioprinting, co-culture systems, microfluidics, and artificial intelligence to significantly improve the precision, scalability, and efficiency of cancer research. These integrated systems serve as powerful analytical tools, propelling the development of personalized therapies for urological malignancies. This article provides a comprehensive review of the establishment and potential of organoid technologies in treating the three major urogenital system cancers-prostate, bladder, and renal-highlighting their trajectory from basic research to clinical applications and their expanding synergy with bioengineering innovations.

Indexed as

OrganoidsUrologic NeoplasmsAnimalsBioprintingHumansPrecision Medicine3D cultureDrug screeningOrganoidsPrecision medicineUrinary system tumors

Identifiers

PMID40696357
PMCPMC12285094

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.