Evidence map›Paper›PMID 32171935›Full record

ArticlePapillomavirus research (Amsterdam, Netherlands)2020

Methylation analysis in urine fractions for optimal CIN3 and cervical cancer detection.

Rianne van den Helder, Nienke E van Trommel, Annina P van Splunter, Birgit I Lissenberg-Witte, Maaike C G Bleeker, Renske D M Steenbergen

Abstract readComparative Study
In one paragraph

Article in Papillomavirus research (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
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  5. Review
  6. Article
  7. Article
  8. A review of urinary HPV testing for cervical cancer management and HPV vaccine surveillance: rationale, strategies, and limitations.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Review
  9. Preliminary Evaluation of the Value of a Small-Molecule Probe Targeting DNMT1 in Detecting the Methylation of PAX1 in Cervical Cancer.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  10. Article
  11. Review
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  15. Article
  16. Review
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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

6 authors.

Rianne van den HelderAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Center Amsterdam, Amsterdam, the Netherlands; Antoni van Leeuwenhoek/Netherlands Cancer Institute, Department of Gynecologic Oncology, Centre of Gynecologic Oncology Amsterdam, Amsterdam, the Netherlands.
Nienke E van TrommelAntoni van Leeuwenhoek/Netherlands Cancer Institute, Department of Gynecologic Oncology, Centre of Gynecologic Oncology Amsterdam, Amsterdam, the Netherlands.
Annina P van SplunterAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Center Amsterdam, Amsterdam, the Netherlands.
Birgit I Lissenberg-WitteAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam, the Netherlands.
Maaike C G BleekerAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Center Amsterdam, Amsterdam, the Netherlands.
Renske D M SteenbergenAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Center Amsterdam, Amsterdam, the Netherlands. Electronic address: r.steenbergen@amsterdamumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUrine sampling is an interesting solution for CIN3 and cervical cancer detection. Urine can be separated in different fractions: full void urine, urine sediment and urine supernatant. We aimed to determine which urine fraction is most competent for CIN3 and cervical cancer detection by methylation analysis.

methodsUrine samples (27 controls, 30 CIN3 and 17 cervical cancer) were processed into 3 fractions and tested for 5 methylation markers (ASCL1, GHSR, LHX8, SST, ZIC1). We determined Spearman correlation coefficients between fractions, compared methylation levels and calculated AUCs for CIN3 and cancer detection.

resultsIn general strong correlations (r > 0.60) were found between urine fractions. Methylation levels increased significantly with severity of underlying disease in all urine fractions. CIN3 and controls differed significantly for 2 markers in full void urine, 4 markers in urine sediment and 1 marker in urine supernatant, with AUCs of 0.55-0.79. Comparison of cancer to controls was highly significant for all markers in all fractions, yielding AUCs of 0.87-0.99.

conclusionMethylation analysis performs excellent in all urine fractions for cervical cancer detection. Our results indicate the potential of CIN3 detection by urinary methylation analysis, and demonstrate that urine sediment performs best to detect CIN3.

Indexed as

DNA MethylationAdultAgedAged, 80 and overBiomarkers, TumorCervix UteriEarly Detection of CancerFemaleHumansMass ScreeningMiddle AgedPapillomavirus InfectionsStatistics, NonparametricUterine Cervical DysplasiaUterine Cervical NeoplasmsBiomarkers, TumorCervical cancerCervical intraepithelial neoplasiaComparative analysisDNA MethylationUrine

Identifiers

PMID32171935
PMCPMC7082622

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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.