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

Overview of attention for article published in Clinical Epigenetics, January 2018
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Title
Identification of reliable biomarkers of human papillomavirus 16 methylation in cervical lesions based on integration status using high-resolution melting analysis
Published in
Clinical Epigenetics, January 2018
DOI 10.1186/s13148-018-0445-8
Pubmed ID
Authors

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

Abstract

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. 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. 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). 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Student > Bachelor 5 16%
Student > Master 3 10%
Other 2 6%
Researcher 2 6%
Other 4 13%
Unknown 10 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 19%
Medicine and Dentistry 6 19%
Agricultural and Biological Sciences 3 10%
Nursing and Health Professions 2 6%
Immunology and Microbiology 2 6%
Other 1 3%
Unknown 11 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2018.
All research outputs
#20,461,148
of 23,018,998 outputs
Outputs from Clinical Epigenetics
#1,120
of 1,265 outputs
Outputs of similar age
#378,143
of 441,019 outputs
Outputs of similar age from Clinical Epigenetics
#30
of 34 outputs
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.