Evidence map›Paper›PMID 40296875›Full record

ReviewBladder cancer (Amsterdam, Netherlands)

Organoid models in bladder cancer: From bench to bedside?

Hongda Zhao, Vincy Wing Sze Ho, Kang Liu, Xuan Chen, Hongwei Wu, Peter Ka-Fung Chiu, Lu-Yan Chan, Steffi Kar-Kei Yuen, David Ka-Wai Leung, Alex Qinyang Liu and 5 more

Abstract readReview
In one paragraph

Review in Bladder cancer (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Organoid technology in cancer research.Molecular biomedicine · 2026
    Review
  2. Review
  3. Precision-Cut Bladder Slices: A Novel Model for the Study of Bladder Fibrosis and Potential Anti-Fibrotic Agents.International journal of urology : official journal of the Japanese Urological Association · 2026
    Article
  4. Article
  5. 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

15 authors.

Hongda ZhaoS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0003-2414-1484
Vincy Wing Sze HoS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
Kang LiuS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0001-7929-6534
Xuan ChenS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
Hongwei WuS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
Peter Ka-Fung ChiuS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
Lu-Yan ChanS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
Steffi Kar-Kei YuenS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-9956-1558
David Ka-Wai LeungS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
Alex Qinyang LiuS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0003-0302-0472
Chris Ho-Ming WongS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0003-1795-1198
Ivan Ching-Ho KoS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
Chi Fai NgS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-1723-9646
Dinglan WuS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
Jeremy Yuen-Chun TeohS.H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-9361-2342

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder cancer (BC), one of the most prevalent and aggressive urological malignancies, poses significant challenges in diagnosis, treatment, and recurrence management. Patient-derived organoid provides new directions for the precision diagnosis and treatment of bladder cancer. Objective: To make a comprehensive summary of the current bladder cancer organoid studies. Methods: A comprehensive database search was conducted to provide an in-depth overview of the current state of bladder cancer organoid models, with a focus on their applications in basic research, clinical translation, and therapeutic discovery. Results: We summarized the current bladder cancer organoid studies, highlighting their advantages, such as genetic fidelity and high-throughput drug screening capabilities. Additionally, we also address the challenges, including their limited representation of the tumour microenvironment and technical complexity. Finally, we discuss future directions, including the integration of immunotherapy, the development of co-culture systems, and the exploration of non-invasive sampling methods and organoid-on-chip systems. Conclusions: Traditional pre-clinical models have inherent limitations in mimicking the complexity of human tumours. The emergence of organoid technology has offered a groundbreaking approach to address this challenge, providing an innovative tool for studying tumour biology, genetic alterations, drug screening, and personalized medicine in bladder cancer.

Indexed as

bladder cancerdrug screeningimmunotherapypatient-derived organoid (PDO)personalized medicinetumour microenvironment (TME)

Identifiers

PMID40296875
PMCPMC12033766

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.