Evidence map›Paper›PMID 23018867›Full record

ArticleEpigenetics2012

Genome-wide methylation profiling identifies hypermethylated biomarkers in high-grade cervical intraepithelial neoplasia.

Ágnes Lendvai, Frank Johannes, Christina Grimm, Jasper J H Eijsink, René Wardenaar, Haukeline H Volders, Harry G Klip, Harry Hollema, Ritsert C Jansen, Ed Schuuring and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 46 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Ágnes LendvaiDepartment of Gynaecological Oncology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.
Frank Johannes
Christina Grimm
Jasper J H Eijsink
René Wardenaar
Haukeline H Volders
Harry G Klip
Harry Hollema
Ritsert C Jansen
Ed Schuuring
G Bea A Wisman
Ate G J van der Zee
University of Groningen · NLMax Planck Institute for Molecular Genetics · DEUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic modifications, such as aberrant DNA promoter methylation, are frequently observed in cervical cancer. Identification of hypermethylated regions allowing discrimination between normal cervical epithelium and high-grade cervical intraepithelial neoplasia (CIN2/3), or worse, may improve current cervical cancer population-based screening programs. In this study, the DNA methylome of high-grade CIN lesions was studied using genome-wide DNA methylation screening to identify potential biomarkers for early diagnosis of cervical neoplasia. Methylated DNA Immunoprecipitation (MeDIP) combined with DNA microarray was used to compare DNA methylation profiles of epithelial cells derived from high-grade CIN lesions with normal cervical epithelium. Hypermethylated differentially methylated regions (DMRs) were identified. Validation of nine selected DMRs using BSP and MSP in cervical tissue revealed methylation in 63.2-94.7% high-grade CIN and in 59.3-100% cervical carcinomas. QMSP for the two most significant high-grade CIN-specific methylation markers was conducted exploring test performance in a large series of cervical scrapings. Frequency and relative level of methylation were significantly different between normal and cancer samples. Clinical validation of both markers in cervical scrapings from patients with an abnormal cervical smear confirmed that frequency and relative level of methylation were related with increasing severity of the underlying CIN lesion and that ROC analysis was discriminative. These markers represent the COL25A1 and KATNAL2 and their observed increased methylation upon progression could intimate the regulatory role in carcinogenesis. In conclusion, our newly identified hypermethylated DMRs represent specific DNA methylation patterns in high-grade CIN lesions and are candidate biomarkers for early detection.

Indexed as

DNA MethylationGenome, HumanAdenosine TriphosphatasesAdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesFemaleHumansKataninMiddle AgedNon-Fibrillar CollagensOligonucleotide Array Sequence AnalysisSequence Analysis, DNAUterine Cervical DysplasiaAdenosine TriphosphatasesBiomarkers, TumorCOL25A1 protein, humanKataninKATNAL2 protein, humanNon-Fibrillar Collagens

Identifiers

PMID23018867
PMCPMC3499328
OpenAlexW2155461556

What OpenQuestion holds

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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.