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Intra-tumor genetic heterogeneity and alternative driver genetic alterations in breast cancers with heterogeneous HER2 gene amplification

Overview of attention for article published in Genome Biology, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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11 X users
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1 Facebook page

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148 Mendeley
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1 CiteULike
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Title
Intra-tumor genetic heterogeneity and alternative driver genetic alterations in breast cancers with heterogeneous HER2 gene amplification
Published in
Genome Biology, May 2015
DOI 10.1186/s13059-015-0657-6
Pubmed ID
Authors

Charlotte KY Ng, Luciano G Martelotto, Arnaud Gauthier, Huei-Chi Wen, Salvatore Piscuoglio, Raymond S Lim, Catherine F Cowell, Paul M Wilkerson, Patty Wai, Daniel N Rodrigues, Laurent Arnould, Felipe C Geyer, Silvio E Bromberg, Magali Lacroix-Triki, Frederique Penault-Llorca, Sylvia Giard, Xavier Sastre-Garau, Rachael Natrajan, Larry Norton, Paul H Cottu, Britta Weigelt, Anne Vincent-Salomon, Jorge S Reis-Filho

Abstract

HER2 is overexpressed and amplified in approximately 15% of invasive breast cancers, and is the molecular target and predictive marker of response to anti-HER2 agents. In a subset of these cases, heterogeneous distribution of HER2 gene amplification can be found, which creates clinically challenging scenarios. Currently, breast cancers with HER2 amplification/overexpression in just over 10% of cancer cells are considered HER2-positive for clinical purposes; however, it is unclear as to whether the HER2-negative components of such tumors would be driven by distinct genetic alterations. Here we sought to characterize the pathologic and genetic features of the HER2-positive and HER2-negative components of breast cancers with heterogeneous HER2 gene amplification and to define the repertoire of potential driver genetic alterations in the HER2-negative components of these cases. We separately analyzed the HER2-negative and HER2-positive components of 12 HER2 heterogeneous breast cancers using gene copy number profiling and massively parallel sequencing, and identified potential driver genetic alterations restricted to the HER2-negative cells in each case. In vitro experiments provided functional evidence to suggest that BRF2 and DSN1 overexpression/amplification, and the HER2 I767M mutation may be alterations that compensate for the lack of HER2 amplification in the HER2-negative components of HER2 heterogeneous breast cancers. Our results indicate that even driver genetic alterations, such as HER2 gene amplification, can be heterogeneously distributed within a cancer, and that the HER2-negative components are likely driven by genetic alterations not present in the HER2-positive components, including BRF2 and DSN1 amplification and HER2 somatic mutations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Sweden 1 <1%
Unknown 146 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 25%
Researcher 24 16%
Student > Master 14 9%
Student > Bachelor 13 9%
Professor > Associate Professor 9 6%
Other 22 15%
Unknown 29 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 22%
Biochemistry, Genetics and Molecular Biology 32 22%
Medicine and Dentistry 23 16%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Engineering 5 3%
Other 10 7%
Unknown 40 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 02 June 2019.
All research outputs
#2,436,648
of 25,374,917 outputs
Outputs from Genome Biology
#1,979
of 4,467 outputs
Outputs of similar age
#30,460
of 281,628 outputs
Outputs of similar age from Genome Biology
#32
of 65 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 55% 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 281,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 65 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 50% of its contemporaries.