Evidence map›Paper›PMID 30955437›Full record

ArticleEpigenetics2019

Complementarity between miRNA expression analysis and DNA methylation analysis in hrHPV-positive cervical scrapes for the detection of cervical disease.

Iris Babion, Lise M A De Strooper, Roosmarijn Luttmer, Maaike C G Bleeker, Chris J L M Meijer, Daniëlle A M Heideman, Saskia M Wilting, Renske D M Steenbergen

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Low-coverage whole-genome sequencing for differentiating cervical cancer from cervical intraepithelial neoplasia and benign diseases.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2025
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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

8 authors at 2 institutions in 1 country.

Iris Babiona Pathology, Cancer Center Amsterdam , Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam , The Netherlands.ORCID 0000-0001-9710-1446
Lise M A De Stroopera Pathology, Cancer Center Amsterdam , Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam , The Netherlands.ORCID 0000-0002-1737-2295
Roosmarijn Luttmera Pathology, Cancer Center Amsterdam , Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam , The Netherlands.ORCID 0000-0002-9190-3891
Maaike C G Bleekera Pathology, Cancer Center Amsterdam , Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam , The Netherlands.ORCID 0000-0001-9610-8064
Chris J L M Meijera Pathology, Cancer Center Amsterdam , Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam , The Netherlands.ORCID 0000-0002-2758-9463
Daniëlle A M Heidemana Pathology, Cancer Center Amsterdam , Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam , The Netherlands.ORCID 0000-0001-6463-7391
Saskia M Wiltingb Department of Medical Oncology, Erasmus MC Cancer Institute , Erasmus University Medical Center , Rotterdam , The Netherlands.ORCID 0000-0002-2838-841X
Renske D M Steenbergena Pathology, Cancer Center Amsterdam , Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam , The Netherlands.ORCID 0000-0002-2327-9839
Amsterdam University Medical Centers · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical screening by high-risk HPV (hrHPV) testing requires additional risk stratification (triage), as most infections are transient and only a subset of hrHPV-positive women harbours clinically relevant disease. Molecular triage markers such as microRNAs (miRNAs) and DNA methylation markers are particularly promising, as they can be objectively tested directly on hrHPV-positive scrapes and cervicovaginal self-samples. Here, we evaluated the marker potential of 10 candidate miRNAs in 209 hrHPV-positive scrapes of women with underlying precancer (cervical intraepithelial neoplasia, grade 2-3 (CIN2-3)), cancer, or without disease (CIN0/1). A predictive miRNA classifier for CIN3 detection was built using logistic regression, which was compared to and combined with DNA methylation marker

Indexed as

DNA MethylationAdultAgedBiomarkers, TumorEarly Detection of CancerFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansMicroRNAsMiddle AgedPapillomaviridaePapillomavirus InfectionsPrognosisUterine Cervical DysplasiaUterine Cervical NeoplasmsBiomarkers, TumorMicroRNAscervical cancerCINFAM19A4HPVmethylationmiRNAqRT-PCRscrapescreeningtriage

Identifiers

PMID30955437
PMCPMC6557605
OpenAlexW2939173434

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.