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The clonal and mutational evolution spectrum of primary triple-negative breast cancers

Overview of attention for article published in Nature, April 2012
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

8 blogs
47 tweeters
5 patents
1 Wikipedia page
1 Google+ user
1 research highlight platform


998 Dimensions

Readers on

1247 Mendeley
19 CiteULike
The clonal and mutational evolution spectrum of primary triple-negative breast cancers
Published in
Nature, April 2012
DOI 10.1038/nature10933
Pubmed ID

Sohrab P. Shah, Andrew Roth, Rodrigo Goya, Arusha Oloumi, Gavin Ha, Yongjun Zhao, Gulisa Turashvili, Jiarui Ding, Kane Tse, Gholamreza Haffari, Ali Bashashati, Leah M. Prentice, Jaswinder Khattra, Angela Burleigh, Damian Yap, Virginie Bernard, Andrew McPherson, Karey Shumansky, Anamaria Crisan, Ryan Giuliany, Alireza Heravi-Moussavi, Jamie Rosner, Daniel Lai, Inanc Birol, Richard Varhol, Angela Tam, Noreen Dhalla, Thomas Zeng, Kevin Ma, Simon K. Chan, Malachi Griffith, Annie Moradian, S.-W. Grace Cheng, Gregg B. Morin, Peter Watson, Karen Gelmon, Stephen Chia, Suet-Feung Chin, Christina Curtis, Oscar M. Rueda, Paul D. Pharoah, Sambasivarao Damaraju, John Mackey, Kelly Hoon, Timothy Harkins, Vasisht Tadigotla, Mahvash Sigaroudinia, Philippe Gascard, Thea Tlsty, Joseph F. Costello, Irmtraud M. Meyer, Connie J. Eaves, Wyeth W. Wasserman, Steven Jones, David Huntsman, Martin Hirst, Carlos Caldas, Marco A. Marra, Samuel Aparicio


Primary triple-negative breast cancers (TNBCs), a tumour type defined by lack of oestrogen receptor, progesterone receptor and ERBB2 gene amplification, represent approximately 16% of all breast cancers. Here we show in 104 TNBC cases that at the time of diagnosis these cancers exhibit a wide and continuous spectrum of genomic evolution, with some having only a handful of coding somatic aberrations in a few pathways, whereas others contain hundreds of coding somatic mutations. High-throughput RNA sequencing (RNA-seq) revealed that only approximately 36% of mutations are expressed. Using deep re-sequencing measurements of allelic abundance for 2,414 somatic mutations, we determine for the first time-to our knowledge-in an epithelial tumour subtype, the relative abundance of clonal frequencies among cases representative of the population. We show that TNBCs vary widely in their clonal frequencies at the time of diagnosis, with the basal subtype of TNBC showing more variation than non-basal TNBC. Although p53 (also known as TP53), PIK3CA and PTEN somatic mutations seem to be clonally dominant compared to other genes, in some tumours their clonal frequencies are incompatible with founder status. Mutations in cytoskeletal, cell shape and motility proteins occurred at lower clonal frequencies, suggesting that they occurred later during tumour progression. Taken together, our results show that understanding the biology and therapeutic responses of patients with TNBC will require the determination of individual tumour clonal genotypes.

Twitter Demographics

The data shown below were collected from the profiles of 47 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 1,247 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 34 3%
Canada 13 1%
United Kingdom 12 <1%
Spain 7 <1%
France 6 <1%
Netherlands 6 <1%
Sweden 4 <1%
Germany 4 <1%
Japan 4 <1%
Other 36 3%
Unknown 1121 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 369 30%
Researcher 348 28%
Student > Master 117 9%
Student > Bachelor 79 6%
Other 68 5%
Other 266 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 619 50%
Medicine and Dentistry 216 17%
Biochemistry, Genetics and Molecular Biology 214 17%
Unspecified 60 5%
Computer Science 56 4%
Other 82 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 97. 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 03 April 2018.
All research outputs
of 11,930,409 outputs
Outputs from Nature
of 61,016 outputs
Outputs of similar age
of 108,067 outputs
Outputs of similar age from Nature
of 843 outputs
Altmetric has tracked 11,930,409 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 61,016 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 72.9. This one has done well, scoring higher than 82% 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 108,067 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 99% of its contemporaries.
We're also able to compare this research output to 843 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.