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Decoding the DNA Methylome of Mantle Cell Lymphoma in the Light of the Entire B Cell Lineage

Overview of attention for article published in Cancer Cell, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

news
3 news outlets
twitter
29 X users
patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
177 Mendeley
citeulike
3 CiteULike
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Title
Decoding the DNA Methylome of Mantle Cell Lymphoma in the Light of the Entire B Cell Lineage
Published in
Cancer Cell, November 2016
DOI 10.1016/j.ccell.2016.09.014
Pubmed ID
Authors

Ana C. Queirós, Renée Beekman, Roser Vilarrasa-Blasi, Martí Duran-Ferrer, Guillem Clot, Angelika Merkel, Emanuele Raineri, Nuria Russiñol, Giancarlo Castellano, Sílvia Beà, Alba Navarro, Marta Kulis, Núria Verdaguer-Dot, Pedro Jares, Anna Enjuanes, María José Calasanz, Anke Bergmann, Inga Vater, Itziar Salaverría, Harmen J.G. van de Werken, Wyndham H. Wilson, Avik Datta, Paul Flicek, Romina Royo, Joost Martens, Eva Giné, Armando Lopez-Guillermo, Hendrik G. Stunnenberg, Wolfram Klapper, Christiane Pott, Simon Heath, Ivo G. Gut, Reiner Siebert, Elías Campo, José I. Martín-Subero

Abstract

We analyzed the in silico purified DNA methylation signatures of 82 mantle cell lymphomas (MCL) in comparison with cell subpopulations spanning the entire B cell lineage. We identified two MCL subgroups, respectively carrying epigenetic imprints of germinal-center-inexperienced and germinal-center-experienced B cells, and we found that DNA methylation profiles during lymphomagenesis are largely influenced by the methylation dynamics in normal B cells. An integrative epigenomic approach revealed 10,504 differentially methylated regions in regulatory elements marked by H3K27ac in MCL primary cases, including a distant enhancer showing de novo looping to the MCL oncogene SOX11. Finally, we observed that the magnitude of DNA methylation changes per case is highly variable and serves as an independent prognostic factor for MCL outcome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Sweden 1 <1%
Spain 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 172 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 27%
Student > Ph. D. Student 35 20%
Student > Master 11 6%
Student > Bachelor 11 6%
Other 10 6%
Other 27 15%
Unknown 35 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 28%
Agricultural and Biological Sciences 30 17%
Medicine and Dentistry 27 15%
Computer Science 10 6%
Immunology and Microbiology 7 4%
Other 10 6%
Unknown 44 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 09 October 2020.
All research outputs
#914,414
of 25,374,647 outputs
Outputs from Cancer Cell
#710
of 3,149 outputs
Outputs of similar age
#17,168
of 317,808 outputs
Outputs of similar age from Cancer Cell
#16
of 52 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,149 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.3. This one has done well, scoring higher than 77% 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 317,808 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 94% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.