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Identification of a Disease-Defining Gene Fusion in Epithelioid Hemangioendothelioma

Overview of attention for article published in Science Translational Medicine, August 2011
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
32 X users
wikipedia
1 Wikipedia page
guideline
2 clinical guideline sources

Readers on

mendeley
120 Mendeley
citeulike
1 CiteULike
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Article details
Title
Identification of a Disease-Defining Gene Fusion in Epithelioid Hemangioendothelioma
Published in
Science Translational Medicine, August 2011
DOI 10.1126/scitranslmed.3002409
Pubmed ID
Authors
Abstract

Integrating transcriptomic sequencing with conventional cytogenetics, we identified WWTR1 (WW domain-containing transcription regulator 1) (3q25) and CAMTA1 (calmodulin-binding transcription activator 1) (1p36) as the two genes involved in the t(1;3)(p36;q25) chromosomal translocation that is characteristic of epithelioid hemangioendothelioma (EHE), a vascular sarcoma. This WWTR1/CAMTA1 gene fusion is under the transcriptional control of the WWTR1 promoter and encodes a putative chimeric transcription factor that joins the amino terminus of WWTR1, a protein that is highly expressed in endothelial cells, in-frame to the carboxyl terminus of CAMTA1, a protein that is normally expressed only in brain. Thus, CAMTA1 expression is activated inappropriately through a promoter-switch mechanism. The gene fusion is present in virtually all EHEs tested but is absent from all other vascular neoplasms, demonstrating it to be a disease-defining genetic alteration. A sensitive and specific break-apart fluorescence in situ hybridization assay was also developed to detect the translocation and will assist in the evaluation of this diagnostically challenging neoplasm. The chimeric WWTR1/CAMTA1 transcription factor may represent a therapeutic target for EHE and offers the opportunity to shed light on the functions of two poorly characterized proteins.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 3%
United Kingdom 2 2%
Unknown 114 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 28 23%
Student > Ph. D. Student 21 18%
Other 14 12%
Professor > Associate Professor 11 9%
Student > Master 10 8%
Other 17 14%
Unknown 19 16%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 33 28%
Agricultural and Biological Sciences 27 23%
Biochemistry, Genetics and Molecular Biology 25 21%
Engineering 4 3%
Computer Science 2 2%
Other 5 4%
Unknown 24 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 20 July 2024.
All research outputs
#1,289,712
of 32,599,958 outputs
Outputs from Science Translational Medicine
#2,525
of 5,744 outputs
Outputs of similar age
#4,915
of 164,332 outputs
Outputs of similar age from Science Translational Medicine
#11
of 77 outputs
Altmetric has tracked 32,599,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.2. This one has gotten more attention than average, scoring higher than 56% 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 164,332 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 97% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.