Evidence map›Paper›PMID 29679470›Full record

ArticleInternational journal of cancer2018

Molecular progression to cervical precancer, epigenetic switch or sequential model?

Belinda Nedjai, Caroline Reuter, Amar Ahmad, Rawinder Banwait, Rhian Warman, James Carton, Sabrina Boer, Jack Cuzick, Attila T Lorincz

Abstract read
In one paragraph

Article in International journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. The Role of p16/Ki67 Dual Staining in Cervical Cancer Screening.Current issues in molecular biology · 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

9 authors.

Belinda NedjaiBarts and the London School of Medicine, Charterhouse Square, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, London, EC1M 6BQ, United Kindom.ORCID 0000-0001-8711-4577
Caroline ReuterBarts and the London School of Medicine, Charterhouse Square, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, London, EC1M 6BQ, United Kindom.
Amar AhmadBarts and the London School of Medicine, Charterhouse Square, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, London, EC1M 6BQ, United Kindom.
Rawinder BanwaitBarts and the London School of Medicine, Charterhouse Square, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, London, EC1M 6BQ, United Kindom.
Rhian WarmanBarts and the London School of Medicine, Charterhouse Square, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, London, EC1M 6BQ, United Kindom.
James CartonDepartment of Histopathology, Charing Cross Hospital, Fulham Palace Road, London, W6 8RF, United Kingdom.
Sabrina BoerDepartment of Urology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Nijmegen, The Netherlands.
Jack CuzickBarts and the London School of Medicine, Charterhouse Square, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, London, EC1M 6BQ, United Kindom.
Attila T LorinczBarts and the London School of Medicine, Charterhouse Square, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, London, EC1M 6BQ, United Kindom.ORCID 0000-0002-7097-6223

Funding

Cancer Research UK 16891Cancer Research UK 21070Cancer Research UK 27046Cancer Research UK C569/A10404
6 · The paper itself

Abstract

The evolution of precancerous cervical lesions is poorly understood. A widely held model of cervical intraepithelial neoplasia grade 3 (CIN3) development is sequential progression from normal through CIN1 and CIN2 to CIN3. Another hypothesis, the "molecular switch" model, postulates that CIN3 can evolve directly from human papillomavirus (HPV)-infected normal epithelium without progressing through CIN1 and CIN2. To shed light on this process, we compared DNA methylation of selected human biomarkers and HPV types in two groups of CIN1: CIN1 that were near or adjacent to CIN3 (adjacent-CIN1) and CIN1 that were the principal lesions with no CIN3 detected (principal-CIN1). 354 CIN (CIN1 and CIN3) and normal tissue areas were dissected and typed for HPV from 127 women who underwent loop electrosurgical excision procedures (LEEP). Methylation of genes EPB41L3 and the viral regions of HPV16-L1/L2, HPV18-L2, HPV31-L1, and HPV33-L2 were determined by a highly accurate quantitative pyrosequencing of bisulfite converted DNA. There was a significant trend of increased methylation with disease grade comparing normal to CIN1 and CIN3 (p < 0.0001). Adjacent-CIN1 predominantly shared the same HPV types as the CIN3, however, methylation differed substantially between adjacent-CIN1 and CIN3 (p = 0.008). In contrast diagnostically principal-CIN1 had an indistinguishable methylation distribution compared to adjacent-CIN1 (EPB41L3: p = 0.49; HPVme-All: p = 0.11). Our results suggest that progression from normal epithelium to CIN1 or CIN3 is usually promoted by the same HPV type but occurs via distinct DNA epigenotypes, thus favoring the "molecular switch" model.

Indexed as

DNA MethylationEpigenomicsBiomarkers, TumorCervix UteriDisease ProgressionFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansPapillomaviridaePapillomavirus InfectionsPilot ProjectsPrognosisRisk FactorsUterine Cervical DysplasiaUterine Cervical NeoplasmsBiomarkers, Tumorbiomarkercervical cancercervical intraepithelial neoplasia (CIN)epigenotypeHPV typinghuman papillomavirusmethylationmolecular switchsequential progression

Identifiers

PMID29679470
PMCPMC6175180

What OpenQuestion holds

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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.