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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
blogs
9 blogs
twitter
39 X users
patent
16 patents
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user
f1000
1 research highlight platform

Citations

dimensions_citation
1684 Dimensions

Readers on

mendeley
1850 Mendeley
citeulike
19 CiteULike
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Title
The clonal and mutational evolution spectrum of primary triple-negative breast cancers
Published in
Nature, April 2012
DOI 10.1038/nature10933
Pubmed ID
Authors

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

Abstract

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 1,850 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 34 2%
United Kingdom 13 <1%
Canada 10 <1%
France 6 <1%
Spain 6 <1%
Netherlands 6 <1%
Denmark 4 <1%
Japan 4 <1%
Germany 3 <1%
Other 33 2%
Unknown 1731 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 456 25%
Researcher 431 23%
Student > Master 174 9%
Student > Bachelor 124 7%
Other 89 5%
Other 302 16%
Unknown 274 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 627 34%
Biochemistry, Genetics and Molecular Biology 391 21%
Medicine and Dentistry 272 15%
Computer Science 62 3%
Pharmacology, Toxicology and Pharmaceutical Science 33 2%
Other 154 8%
Unknown 311 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 112. 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 12 March 2024.
All research outputs
#379,706
of 25,837,817 outputs
Outputs from Nature
#19,146
of 98,779 outputs
Outputs of similar age
#1,629
of 175,504 outputs
Outputs of similar age from Nature
#176
of 1,049 outputs
Altmetric has tracked 25,837,817 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 98,779 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.5. This one has done well, scoring higher than 80% 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 175,504 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 1,049 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.