Evidence map›Paper›PMID 33710792›Full record

ArticleCancer medicine2021

Consistency of the S5 DNA methylation classifier in formalin-fixed biopsies versus corresponding exfoliated cells for the detection of pre-cancerous cervical lesions.

Caroline Reuter, Matthew Preece, Rawinder Banwait, Sabrina Boer, Jack Cuzick, Attila Lorincz, Belinda Nedjai

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  6. The Role of theBiomedicines · 2023
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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

7 authors at 2 institutions in 2 countries.

Caroline ReuterCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Matthew PreeceCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Rawinder BanwaitCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Sabrina BoerDepartment of Urology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands.
Jack CuzickCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.ORCID 0000-0001-7420-7512
Attila LorinczCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Belinda NedjaiCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.ORCID 0000-0001-8711-4577
Queen Mary University of London · GBRadboud University Nijmegen · NL

Funding

Cancer Research UK 21070Cancer Research UK 27046Cancer Research UK C569/A16891
6 · The paper itself

Abstract

Methylation biomarkers are promising tools for diagnosis and disease prevention. The S5 classifier is aimed at the prevention of cervical cancer by the early detection of cervical intraepithelial neoplasia (CIN). S5 is based on pyrosequencing a promoter region of EPB41L3 and five late regions of HPV types 16, 18, 31, and 33 following bisulfite conversion of DNA. Good biomarkers should perform well in a variety of sample types such as exfoliated cells, fresh frozen or formalin-fixed paraffin-embedded (FFPE) materials. Here, we tested the performance of S5 on 315 FFPE biopsies with paired exfoliated cervical samples using four different conversion kits (Epitect Bisulfite, Epitect Fast Bisulfite, EZ DNA Methylation, and EZ DNA Methylation-Lightning). The S5 values from FFPE biopsies for all kits were significantly correlated with those obtained from their paired exfoliated cells. For the EZ DNA Methylation kit, we observed an average increased methylation of 4.4% in FFPE. This was due to incomplete conversion of DNA (73% for FFPE vs. 95% for cells). The other kits had a DNA conversion rate in FFPE similar to the cells (95%-97%). S5 performed well at discriminating <CIN2 lesions from CIN2+ lesions on the FFPE with all kits given optimized adjustments to the cut-off. The area under the curve (AUC) for S5 on FFPE was not significantly different from the paired cells (0.74-0.79 vs. 0.81). The best sensitivity and specificity were obtained for EZ DNA Methylation after the adjustment of the cut-off to reflect its lower conversion rate. Consistent methylation results can be obtained from FFPE material regardless of the conversion kit used. The S5 classifier performed as well on FFPE material as on exfoliated cells with adjusted cut-off allowing easier clinical implementation.

Indexed as

DNA MethylationAdolescentAdultAgedAlphapapillomavirusArea Under CurveBiopsyColposcopyFemaleFormaldehydeHumansMicrofilament ProteinsMiddle AgedPrecancerous ConditionsSensitivity and SpecificitySulfitesEPB41L3 protein, humanFormaldehydehydrogen sulfiteMicrofilament ProteinsSulfitesbiomarkercervical cancerDNA methylationformalin-fixed paraffin-embedded samples (FFPE)S5 classifier

Identifiers

PMID33710792
PMCPMC8026949
OpenAlexW3134966512

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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.