Evidence map›Paper›PMID 29410710›Full record

ArticleClinical epigenetics2018

Identification of reliable biomarkers of human papillomavirus 16 methylation in cervical lesions based on integration status using high-resolution melting analysis.

Lu Liu, Chunmei Ying, Zhen Zhao, Long Sui, Xinyan Zhang, Chunyan Qian, Qing Wang, Limei Chen, Qisang Guo, Jiangnan Wu

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  12. DNA hypermethylation ofTranslational cancer research · 2019
    Article
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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

10 authors at 3 institutions in 1 country.

Lu Liu *1Department of Clinical Laboratory, The Obstetrics and Gynecology Hospital of Fudan University, Fangxie Road No. 419, Huangpu District, Shanghai, 200001 China.
Chunmei Ying *1Department of Clinical Laboratory, The Obstetrics and Gynecology Hospital of Fudan University, Fangxie Road No. 419, Huangpu District, Shanghai, 200001 China.
Zhen Zhao *2Department of Clinical Laboratory, Minhang District Central Hospital, Shanghai, China.
Long Sui *3Medical Center of Diagnosis and Treatment for Cervical Diseases, The Obstetrics and Gynecology Hospital of Fudan University, Fangxie Road No. 419, Huangpu District, Shanghai, 200001 China.
Xinyan Zhang4The Research Institute of Obstetrics and Gynecology, The Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Chunyan Qian5Yuhang Branch, Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Qing Wang3Medical Center of Diagnosis and Treatment for Cervical Diseases, The Obstetrics and Gynecology Hospital of Fudan University, Fangxie Road No. 419, Huangpu District, Shanghai, 200001 China.
Limei Chen3Medical Center of Diagnosis and Treatment for Cervical Diseases, The Obstetrics and Gynecology Hospital of Fudan University, Fangxie Road No. 419, Huangpu District, Shanghai, 200001 China.
Qisang Guo3Medical Center of Diagnosis and Treatment for Cervical Diseases, The Obstetrics and Gynecology Hospital of Fudan University, Fangxie Road No. 419, Huangpu District, Shanghai, 200001 China.
Jiangnan Wu6Department of Clinical Statistics, The Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Obstetrics and Gynecology Hospital of Fudan University · CNMinhang District Central Hospital · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The dynamic methylation of human papillomavirus (HPV) 16 DNA is thought to be associated with the progression of cervical lesions. Previous studies that did not consider the physical status of HPV 16 may have incorrectly mapped HPV 16 methylomes. In order to identify reliable biomarkers for squamous cervical cancer (SCC), we comprehensively evaluated the methylation of HPV 16 depending on the integration incidence of each sample. Methods: Based on the integration status of 115 HPV 16-infected patients (50 SCC, 30 high-grade squamous intraepithelial lesion [HSIL], and 35 low-grade squamous intraepithelial lesion [LSIL]) and HPV 16-infected Caski cell lines by PCR detection of integrated papillomavirus sequences, we designed a series of primers that would not be influenced by breakpoints for a high-resolution melting (HRM) PCR method to detect the genome methylation. Results: A few regions with recurrent interruptions were identified in E1, E2/E4, L1, and L2 despite scattering of breakpoints throughout all eight genes of HPV 16. Frequent integration sites often occurred concomitantly with methylated CpG sites. The HRM PCR method showed 100% agreement with pyrosequencing when 3% was set as the cutoff value. A panel of CpG sites such as nt5606, nt5609, nt5615, and nt5378 can be combined in reweighing calculations to distinguish SCC from HSIL and LSIL patients which have high sensitivity and specificity (88% and 92.31%, respectively). Conclusions: Our research shows that combination of CpG sites nt5606, nt5609, nt5615, and nt5378 can be used as potential diagnosis biomarkers for SCC, and the HRM PCR method is suitable for clinical methylation analysis.

Indexed as

DNA MethylationCell Line, TumorEpigenesis, GeneticFemaleGenetic MarkersGenome, ViralHeLa CellsHuman papillomavirus 16HumansPapillomavirus InfectionsSequence Analysis, DNASquamous Intraepithelial Lesions of the CervixVirus IntegrationGenetic MarkersCervical lesionHigh-resolution melting analysisIntegrationMethylationSquamous cervical cancer

Identifiers

PMID29410710
PMCPMC5781301
OpenAlexW2788203201

What OpenQuestion holds

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LicenceCC BY
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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.