Evidence map›Paper›PMID 29732388›Full record

ArticleBladder cancer (Amsterdam, Netherlands)2018

Systematic Review: Characteristics and Preclinical Uses of Bladder Cancer Cell Lines.

Tahlita C M Zuiverloon, Florus C de Jong, James C Costello, Dan Theodorescu

Abstract read
In one paragraph

Article in Bladder cancer (Amsterdam, Netherlands), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Review
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  8. Review
  9. Article
  10. Repurposing Amiodarone for Bladder Cancer Treatment.Cancer research communications · 2025
    Article
  11. Article
  12. Loss of YTHDC1 mExperimental & molecular medicine · 2025
    Article
  13. Article
  14. Article
  15. Article
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  18. Article
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  20. Article

6 more citing papers are in PubMed but not listed here.

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

4 authors.

Tahlita C M ZuiverloonDepartment of Urology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.
Florus C de JongDepartment of Urology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.
James C CostelloUniversity of Colorado Comprehensive Cancer Center, Aurora, CO, USA.
Dan TheodorescuDepartment of Surgery (Urology), University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer (BC) cell lines are indispensable in basic and preclinical research. Currently, an up-to-date and comprehensive overview of available BC cell lines is not available.

objectiveTo provide an overview and resources on the origin, pathological and molecular characteristics of commonly used human, murine and canine BC cell lines.

methodsA PubMed search was performed for relevant articles published between 1980 and 2017 according to the following MeSH terms: cell line; cell line, tumor; urinary bladder neoplasms; carcinoma, transitional cell. The Cellosaurus database was searched, using the term "bladder" and/or "urothelial carcinoma". We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

resultsWe provide information on 157 human, murine and canine BC cell lines. 103 human BC cell lines have molecular data available, of which 69 have been profiled by at least one "omic" technology. We outline how these cell lines are currently being used for

conclusionsIn the BC field, multiple human, murine and canine BC cell lines have been developed and many have become indispensable for

Indexed as

animal modelsBladder cancercataloguescell linescross-contaminationurothelial cell carcinoma

Identifiers

PMID29732388
PMCPMC5929350

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Registered trials

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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.