Evidence map›Paper›PMID 24647315›Full record

ArticlePloS one2014

A promising DNA methylation signature for the triage of high-risk human papillomavirus DNA-positive women.

Alfred Hansel, Daniel Steinbach, Christiane Greinke, Martina Schmitz, Juliane Eiselt, Cornelia Scheungraber, Mieczyslaw Gajda, Heike Hoyer, Ingo B Runnebaum, Matthias Dürst

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

  1. Pooled it
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  17. The Relaxin-3 Receptor, RXFP3, Is a Modulator of Aging-Related Disease.International journal of molecular sciences · 2022
    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

10 authors at 1 institution in 1 country.

Alfred HanselDepartment of Gynaecology, Jena University Hospital, Jena, Germany.
Daniel SteinbachDepartment of Gynaecology, Jena University Hospital, Jena, Germany.
Christiane GreinkeDepartment of Gynaecology, Jena University Hospital, Jena, Germany.
Martina SchmitzDepartment of Gynaecology, Jena University Hospital, Jena, Germany.
Juliane EiseltDepartment of Gynaecology, Jena University Hospital, Jena, Germany.
Cornelia ScheungraberDepartment of Gynaecology, Jena University Hospital, Jena, Germany.
Mieczyslaw GajdaInstitute of Pathology, Jena University Hospital, Jena, Germany.
Heike HoyerIMSID, Jena University Hospital, Jena, Germany.
Ingo B RunnebaumDepartment of Gynaecology, Jena University Hospital, Jena, Germany.
Matthias DürstDepartment of Gynaecology, Jena University Hospital, Jena, Germany.
Jena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-risk human papillomavirus (hrHPV)-DNA testing is frequently performed parallel to cytology for the detection of high-grade dysplasia and cervical cancer particularly in women above 30 years of age. Although highly sensitive, hrHPV testing cannot distinguish between HPV-positive women with or without clinically relevant lesions. However, in principle discrimination is possible on the basis of DNA methylation markers. In order to identify novel DNA regions which allow an effective triage of hrHPV-positive cases, hypermethylated DNA enriched from cervical cancers was compared with that from cervical scrapes of HPV16-positive cases with no evidence for disease by CpG island microarray hybridization. The most promising marker regions were validated by quantitative methylation-specific PCR (qMSP) using DNA from archived cervical tissues and cervical scrapes. The performance of these markers was then determined in an independent set of 217 hrHPV-positive cervical scrapes from outpatients with histopathological verification. A methylation signature comprising the 5' regions of the genes DLX1, ITGA4, RXFP3, SOX17 and ZNF671 specific for CIN3 and cervical cancer (termed CIN3+) was identified and validated. A high detection rate of CIN3+ was obtained if at least 2 of the 5 markers were methylated. In the subsequent cross-sectional study all cervical carcinomas (n = 19) and 56% (13/23) of CIN3 were identified by this algorithm. Only 10% (11/105) of hrHPV-positive women without histological evidence of cervical disease were scored positive by the methylation assay. Of note is that the detection rate of CIN3 differed between age groups. Eight of nine CIN3 were detected among women ≥30 years of age but only five of fourteen among <30 year old group (p = 0.03). The specificity for CIN3+ in the older age group was 76.6% (95% CI 65.6-85.5%). Clinical validation studies are required to determine the usefulness of these novel markers for triage after primary hrHPV testing in a cervical cancer screening setting.

Indexed as

TriageBiomarkers, TumorCervix UteriCpG IslandsCross-Sectional StudiesDNA MethylationDNA, ViralFemaleGenetic MarkersGenome, HumanHumansPapillomaviridaePolymerase Chain ReactionReproducibility of ResultsRisk FactorsUterine Cervical NeoplasmsBiomarkers, TumorDNA, ViralGenetic Markers

Identifiers

PMID24647315
PMCPMC3960142
OpenAlexW2054603798

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.