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Methylation of High-Risk Human Papillomavirus Genomes are Associated with Cervical Precancer in HIV-positive Women

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, December 2018
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Article details
Title
Methylation of High-Risk Human Papillomavirus Genomes are Associated with Cervical Precancer in HIV-positive Women
Published in
Cancer Epidemiology, Biomarkers & Prevention, December 2018
DOI 10.1158/1055-9965.epi-17-1051
Pubmed ID
Authors
Abstract

HIV-positive women are at substantial risk of HPV-associated cervical neoplasia caused by high-risk (HR) HPVs. Methylation of the HPV genome is associated with cervical intraepithelial neoplasia grade 3 (CIN3) in HIV-negative women, yet it is unknown whether this holds true for HIV-positive women. We designed a case-control study within the WIHS cohort comparing HIV-positive CIN3 cases (N=72) to HIV-positive controls without detectable CIN2+. The unit of analysis and matching was HPV type infection. Cases with ≥2 HR-HPV types (N=23; 32%) had a separate control for each HR-HPV type. We developed and utilized next generation sequencing (NGS) methylation assays for 12 different HR-HPVs, focusing on CpG sites in the L1/L2 regions. Significant case-control differences in individual CpG site methylation levels were observed for multiple alpha-9 (HPV16/31/35/58) and alpha-7 HPV (HPV18/39/45) types, based on dichotomization of tertile levels (T3 versus T1 and T2). Analyses combining homologous CpG sites (e.g., HPV16-L1-5608/HPV31-L1-5521/HPV35-L2L1-5570; odds ratio [OR]=7.28; 95% CI:2.75-19.3), and (e.g., HPV18-L1-7062/HPV45-L1-7066 OR=6.94; 95% CI:1.23-39.3) were significant in separate case-control comparisons. In cases with multiple HR-HPVs, we tested and confirmed the hypothesis that one HR-HPV type would have higher methylation than other types detected, consistent with there being a single HR-HPV causally-related to a lesion. CIN3 is associated with elevated L1/L2 CpG methylation levels in HIV-positive women. HPV DNA CpG methylation is a promising triage option in HIV-positive women testing positive for HR-HPV types and provides risk attribution in women with multiple HPV type infections.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 6 17%
Researcher 5 14%
Student > Bachelor 4 11%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 3 9%
Other 3 9%
Unknown 10 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 26%
Medicine and Dentistry 7 20%
Immunology and Microbiology 3 9%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 11 31%
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 September 2018.
All research outputs
#25,087,695
of 34,779,718 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#4,669
of 5,878 outputs
Outputs of similar age
#341,734
of 493,542 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#43
of 55 outputs
Altmetric has tracked 34,779,718 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 493,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.