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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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  • 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 (94th percentile)

Mentioned by

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14 news outlets
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17 X users
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8 patents
facebook
2 Facebook pages

Citations

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152 Dimensions

Readers on

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228 Mendeley
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2 CiteULike
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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

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.

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X Demographics

The data shown below were collected from the profiles of 17 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 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Unknown 221 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 21%
Researcher 40 18%
Student > Bachelor 26 11%
Student > Master 20 9%
Professor > Associate Professor 13 6%
Other 41 18%
Unknown 41 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 62 27%
Agricultural and Biological Sciences 53 23%
Medicine and Dentistry 33 14%
Computer Science 6 3%
Engineering 6 3%
Other 22 10%
Unknown 46 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 124. 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 25 April 2023.
All research outputs
#321,617
of 24,654,957 outputs
Outputs from Nature Communications
#4,946
of 53,365 outputs
Outputs of similar age
#4,090
of 361,963 outputs
Outputs of similar age from Nature Communications
#40
of 665 outputs
Altmetric has tracked 24,654,957 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 53,365 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.0. 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 361,963 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 665 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 94% of its contemporaries.