Evidence map›Paper›PMID 39567591›Full record

ArticleScientific reports2024

Bladder cancer detection in urine by novel methylation markers.

Irene J Beijert, Birgit M M Wever, Anouk E Hentschel, Yara van den Burgt, Paul C Kauer, Birgit I Lissenberg-Witte, R Jeroen A van Moorselaar, Renske D M Steenbergen, Jakko A Nieuwenhuijzen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. [Liquid Biopsy Revolutionizes the Precise Management of Tumors Across the Entire Course: Current Situation and Future Prospects].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Bladder (San Francisco, Calif.) · 2025
    Article
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

9 authors.

Irene J BeijertDepartment of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. i.j.beijert@amsterdamumc.nl.
Birgit M M WeverDepartment of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Anouk E HentschelDepartment of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Yara van den BurgtDepartment of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Paul C KauerDepartment of Urology, OLVG, Amsterdam, The Netherlands.
Birgit I Lissenberg-WitteDepartment of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
R Jeroen A van MoorselaarDepartment of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Renske D M SteenbergenDepartment of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jakko A NieuwenhuijzenDepartment of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although cystoscopy is a reliable tool for detecting bladder cancer (BC) in patients with hematuria, it is invasive, costly and often unnecessary since most patients with hematuria do not have BC. Consequently, developing urinary biomarkers for non-invasive BC detection is a major clinical need. While DNA methylation markers hold promise, diagnostic performance can still be improved. We assessed 11 candidate methylation markers for urinary BC detection. Urine samples from 77 primary BC patients and 69 controls were used for marker selection and training, with independent validation conducted on samples from 63 primary BC patients and 71 controls. Samples were self-collected at home, mailed to the hospital and analyzed via quantitative methylation-specific polymerase chain reaction. Marker performance was evaluated through univariable and multivariable logistic regression analyses. Decision curve analysis (DCA) gauged clinical utility by potential cystoscopy reduction. Evaluation identified three most promising markers: NRN1, GALR1, and HAND2. These markers exhibited significantly elevated methylation levels in BC compared to controls in both cohorts (P < 0.001). The combined marker set demonstrated an area under the curve (AUC) of 0.94 at 84% (95% CI: 76-92%) sensitivity and 96% (95% CI: 91-100%) specificity. Validation yielded nearly equivalent accuracy (AUC 0.89, sensitivity 76% (95% CI: 65-86%), specificity 93% (95% CI: 86-99%)). DCA indicated a potential of 20 to 35% reduction in cystoscopies depending on the clinical scenario. The excellent diagnostic potential of our methylation markers for non-invasive BC detection, emphasizes their significance for future diagnostic strategies.

Indexed as

Biomarkers, TumorDNA MethylationUrinary Bladder NeoplasmsAgedAged, 80 and overBasic Helix-Loop-Helix ProteinsCase-Control StudiesCystoscopyFemaleHumansMaleMiddle AgedROC CurveSensitivity and SpecificityBasic Helix-Loop-Helix ProteinsBiomarkers, TumorBiomarkerBladder cancerDetectionDNA methylationLiquid biopsyUrinary biomarkerUrine

Identifiers

PMID39567591
PMCPMC11579363

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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.