Evidence map›Paper›PMID 24468012›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2014

A comparison of methylation levels in HPV18, HPV31 and HPV33 genomes reveals similar associations with cervical precancers.

Nataša Vasiljević, Dorota Scibior-Bentkowska, Adam Brentnall, Jack Cuzick, Attila Lorincz

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. The Role of p16/Ki67 Dual Staining in Cervical Cancer Screening.Current issues in molecular biology · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Methylation in Predicting Progression of Untreated High-grade Cervical Intraepithelial Neoplasia.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Methylation of High-Risk Human Papillomavirus Genomes Are Associated with Cervical Precancer in HIV-Positive Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Frontiers in public health · 2017
    Article
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

5 authors at 1 institution in 1 country.

Nataša VasiljevićQueen Mary University of London, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, London EC1M 6BQ, United Kingdom.
Dorota Scibior-BentkowskaQueen Mary University of London, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, London EC1M 6BQ, United Kingdom.
Adam BrentnallQueen Mary University of London, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, London EC1M 6BQ, United Kingdom.
Jack CuzickQueen Mary University of London, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, London EC1M 6BQ, United Kingdom.
Attila LorinczQueen Mary University of London, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine, London EC1M 6BQ, United Kingdom. Electronic address: a.lorincz@qmul.ac.uk.
Queen Mary University of London · GB

Funding

Cancer Research UK C569/A10404
6 · The paper itself

Abstract

backgroundHigh risk human papillomavirus (HR-HPV) infection is common and only a small minority of infections become persistent and lead to cervical cancers. Women positive for HR-HPV usually require a second test to avoid unnecessary colposcopies and over treatment. Elevated DNA methylation of HR-HPV L1 and L2 genes in high grade disease has emerged as a promising molecular triage tool.

objectivesOur aim was to accurately measure methylation levels at selected CpG positions in the HPV18, HPV31 and HPV33 genomes. We focused on the L2, L1, URR and E6 regions because these were previously shown to be interesting areas for study. STUDY

designPyrosequencing was used to measure methylation in 208 HPV18, 207 HPV31, and 126 HPV33 positive women selected from a London colposcopy referral population.

resultsAfter adjustment for multiple testing, at FDR 5%, elevated methylation was significantly associated with cervical intraepithelial neoplasia grades 2 or worse (CIN2+) in all investigated CpGs in HPV18 L2 and L1. Two of 6 L2 and 12 of 15 L1 sites in HPV31 and 6 of 8 L2 and 3 of 13 L1 sites in HPV33 showed significantly elevated methylation in CIN2+. Methylation of CpG sites in the URR and E6 region of the HPV types was low and most differences were not significant.

conclusionElevated methylation of CpG sites in the L1 and L2 regions of HPV18, HPV31 and HPV33 is associated with CIN2+ and a panel test may be useful for triage of women with HR-HPV infections.

Indexed as

AdultAlphapapillomavirusCohort StudiesDNA MethylationDNA, ViralFemaleGenome, ViralHumansPrecancerous ConditionsSequence Analysis, DNAStatistics, NonparametricUterine Cervical NeoplasmsDNA, ViralHigh risk human papillomavirusL1L2MethylationPyrosequencing

Identifiers

PMID24468012
PMCPMC3969303
OpenAlexW2097215405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.