Evidence map›Paper›PMID 35123558›Full record

ArticleClinical epigenetics2022

Bladder cancer detection in urine using DNA methylation markers: a technical and prospective preclinical validation.

Anouk E Hentschel, Irene J Beijert, Judith Bosschieter, Paul C Kauer, André N Vis, Birgit I Lissenberg-Witte, R Jeroen A van Moorselaar, Renske D M Steenbergen, Jakko A Nieuwenhuijzen

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
10.0field-weighted citation impact, top 1% of its field
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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  7. UrinaryTranslational andrology and urology · 2026
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  20. Association study of the polymorphisms rs2228611 of theMolecular biology research communications · 2024
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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 at 3 institutions in 1 country.

Anouk E HentschelDepartment of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-6397-0301
Irene J BeijertDepartment of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Judith BosschieterDepartment of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Paul C KauerDepartment of Urology, OLVG, Amsterdam, The Netherlands.
André N VisDepartment of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Birgit I Lissenberg-WitteEpidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
R Jeroen A van MoorselaarDepartment of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Renske D M Steenbergen *Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jakko A Nieuwenhuijzen *Department of Urology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. j.nieuwenhuijzen@amsterdamumc.nl.
Amsterdam University Medical Centers · NLAmsterdam Neuroscience · NLOLVG · NL

Funding

Stichting De Weijerhorst
6 · The paper itself

Abstract

backgroundThe development of accurate urinary biomarkers for non-invasive and cost-effective detection of primary and recurrent bladder tumours is recognized as one of the major clinical needs in bladder cancer diagnostics. The purposes of this study were (1) to validate the results of a previous technical comparison by determining the diagnostic performance of nine methylation markers in urine pellet compared to full void urine, and (2) to validate the diagnostic performance of the optimal marker panel GHSR/MAL from a previous exploratory study in a preclinical setting.

methodsUrine samples of 108 patients with bladder cancer and 100 age- and gender-matched controls were prospectively collected for methylation analysis. Urinary methylation levels of the markers FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1 were determined with quantitative methylation-specific PCR in urine pellet. Area under the curves (AUCs) were determined for individual markers and the marker panel GHSR/MAL. The diagnostic performance of the marker panel GHSR/MAL was evaluated in the total study population and in different subgroups of patients with bladder cancer using the Chi-square test. The diagnostic accuracy was assessed by leave-one-out cross-validation.

resultsAll nine urinary methylation markers (FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1) showed significantly higher methylation levels in bladder cancer patients than in controls (p < 0.001). Area under the curves (AUCs) of the nine methylation markers tested in urine pellet were similar to AUCs in full void urine of an independent previous cohort. GHSR/MAL reached an AUC of 0.89 (95% confidence interval [CI] 0.84-0.94), at 80% sensitivity and 93% specificity. Sensitivity of GHSR/MAL increased with higher tumour grades, higher tumour stages, in primary vs. recurrent tumours, and in males vs. females.

conclusionsThis technical validation supports the robustness of DNA methylation analysis in urine pellet and full void urine for the non-invasive detection of bladder cancer. Subsequent preclinical validation confirmed the diagnostic potential of GHSR/MAL. These findings underline the diagnostic potential of the marker panel GHSR/MAL for future bladder cancer diagnostics.

Indexed as

AgedArea Under CurveBiomarkersDNA MethylationEarly Detection of CancerFemaleHumansMaleMiddle AgedNetherlandsProspective StudiesROC CurveSensitivity and SpecificityUrinary Bladder NeoplasmsBiomarkersBiomarkersDNA methylationLiquid biopsyTumourUrinary bladder neoplasmsUrine

Identifiers

PMID35123558
PMCPMC8818199
OpenAlexW4212905718

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.