↓ Skip to main content

Unique DNA methylation signature in HPV-positive head and neck squamous cell carcinomas

Overview of attention for article published in Genome Medicine, April 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
42 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
81 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Unique DNA methylation signature in HPV-positive head and neck squamous cell carcinomas
Published in
Genome Medicine, April 2017
DOI 10.1186/s13073-017-0419-z
Pubmed ID
Authors

Davide Degli Esposti, Athena Sklias, Sheila C. Lima, Stéphanie Beghelli-de la Forest Divonne, Vincent Cahais, Nora Fernandez-Jimenez, Marie-Pierre Cros, Szilvia Ecsedi, Cyrille Cuenin, Liacine Bouaoun, Graham Byrnes, Rosita Accardi, Anne Sudaka, Valérie Giordanengo, Hector Hernandez-Vargas, Luis Felipe Ribeiro Pinto, Ellen Van Obberghen-Schilling, Zdenko Herceg

Abstract

Head and neck squamous cell carcinomas (HNSCCs) represent a heterogeneous group of cancers for which human papilloma virus (HPV) infection is an emerging risk factor. Previous studies showed promoter hypermethylation in HPV(+) oropharyngeal cancers, but only few consistent target genes have been so far described, and the evidence of a functional impact on gene expression is still limited. We performed global and stratified pooled analyses of epigenome-wide data in HNSCCs based on the Illumina HumanMethylation450 bead-array data in order to identify tissue-specific components and common viral epigenetic targets in HPV-associated tumours. We identified novel differentially methylated CpGs and regions associated with viral infection that are independent of the anatomic site. In particular, most hypomethylated regions were characterized by a marked loss of CpG island boundaries, which showed significant correlations with expression of neighbouring genes. Moreover, a subset of only five CpGs in a few hypomethylated regions predicted HPV status with a high level of specificity in different cohorts. Finally, this signature was a better predictor of survival compared with HPV status determined by viral gene expression by RNA sequencing in The Cancer Genome Atlas cohort. We identified a novel epigenetic signature of HPV infection in HNSCCs which is independent of the anatomic site, is functionally correlated with gene expression and may be leveraged for improved stratification of prognosis in HNSCCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Student > Master 14 17%
Researcher 13 16%
Student > Doctoral Student 6 7%
Student > Bachelor 3 4%
Other 7 9%
Unknown 20 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 30%
Medicine and Dentistry 17 21%
Agricultural and Biological Sciences 10 12%
Nursing and Health Professions 2 2%
Immunology and Microbiology 2 2%
Other 4 5%
Unknown 22 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 13 April 2023.
All research outputs
#1,281,791
of 25,220,525 outputs
Outputs from Genome Medicine
#261
of 1,560 outputs
Outputs of similar age
#25,152
of 315,479 outputs
Outputs of similar age from Genome Medicine
#7
of 27 outputs
Altmetric has tracked 25,220,525 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 83% of its peers.
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 315,479 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.