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Methylome sequencing in triple-negative breast cancer reveals distinct methylation clusters with prognostic value

Overview of attention for article published in Nature Communications, February 2015
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
14 news outlets
twitter
18 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
139 Mendeley
citeulike
2 CiteULike
Title
Methylome sequencing in triple-negative breast cancer reveals distinct methylation clusters with prognostic value
Published in
Nature Communications, February 2015
DOI 10.1038/ncomms6899
Pubmed ID
Authors

Clare Stirzaker, Elena Zotenko, Jenny Z. Song, Wenjia Qu, Shalima S. Nair, Warwick J. Locke, Andrew Stone, Nicola J. Armstong, Mark D. Robinson, Alexander Dobrovic, Kelly A. Avery-Kiejda, Kate M. Peters, Juliet D. French, Sandra Stein, Darren J. Korbie, Matt Trau, John F. Forbes, Rodney J. Scott, Melissa A. Brown, Glenn D. Francis, Susan J. Clark, Stirzaker C, Zotenko E, Song JZ, Qu W, Nair SS, Locke WJ, Stone A, Armstong NJ, Robinson MD, Dobrovic A, Avery-Kiejda KA, Peters KM, French JD, Stein S, Korbie DJ, Trau M, Forbes JF, Scott RJ, Brown MA, Francis GD, Clark SJ

Abstract

Epigenetic alterations in the cancer methylome are common in breast cancer and provide novel options for tumour stratification. Here, we perform whole-genome methylation capture sequencing on small amounts of DNA isolated from formalin-fixed, paraffin-embedded tissue from triple-negative breast cancer (TNBC) and matched normal samples. We identify differentially methylated regions (DMRs) enriched with promoters associated with transcription factor binding sites and DNA hypersensitive sites. Importantly, we stratify TNBCs into three distinct methylation clusters associated with better or worse prognosis and identify 17 DMRs that show a strong association with overall survival, including DMRs located in the Wilms tumour 1 (WT1) gene, bi-directional-promoter and antisense WT1-AS. Our data reveal that coordinated hypermethylation can occur in oestrogen receptor-negative disease, and that characterizing the epigenetic framework provides a potential signature to stratify TNBCs. Together, our findings demonstrate the feasibility of profiling the cancer methylome with limited archival tissue to identify regulatory regions associated with cancer.

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 1 <1%
Estonia 1 <1%
Netherlands 1 <1%
Unknown 132 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 24%
Researcher 27 19%
Student > Bachelor 17 12%
Student > Master 16 12%
Unspecified 13 9%
Other 33 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 37%
Biochemistry, Genetics and Molecular Biology 33 24%
Medicine and Dentistry 20 14%
Unspecified 15 11%
Engineering 4 3%
Other 15 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 118. 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 26 February 2015.
All research outputs
#92,138
of 11,264,908 outputs
Outputs from Nature Communications
#1,550
of 16,803 outputs
Outputs of similar age
#2,799
of 251,049 outputs
Outputs of similar age from Nature Communications
#37
of 590 outputs
Altmetric has tracked 11,264,908 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,803 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.7. This one has done particularly well, scoring higher than 90% 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 251,049 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 98% of its contemporaries.
We're also able to compare this research output to 590 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.