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Breakpoint Analysis of Transcriptional and Genomic Profiles Uncovers Novel Gene Fusions Spanning Multiple Human Cancer Types

Overview of attention for article published in PLoS Genetics, April 2013
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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3 X users
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28 patents
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1 Facebook page

Citations

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105 Dimensions

Readers on

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140 Mendeley
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2 CiteULike
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Title
Breakpoint Analysis of Transcriptional and Genomic Profiles Uncovers Novel Gene Fusions Spanning Multiple Human Cancer Types
Published in
PLoS Genetics, April 2013
DOI 10.1371/journal.pgen.1003464
Pubmed ID
Authors

Craig P. Giacomini, Steven Sun, Sushama Varma, A. Hunter Shain, Marilyn M. Giacomini, Jay Balagtas, Robert T. Sweeney, Everett Lai, Catherine A. Del Vecchio, Andrew D. Forster, Nicole Clarke, Kelli D. Montgomery, Shirley Zhu, Albert J. Wong, Matt van de Rijn, Robert B. West, Jonathan R. Pollack

Abstract

Gene fusions, like BCR/ABL1 in chronic myelogenous leukemia, have long been recognized in hematologic and mesenchymal malignancies. The recent finding of gene fusions in prostate and lung cancers has motivated the search for pathogenic gene fusions in other malignancies. Here, we developed a "breakpoint analysis" pipeline to discover candidate gene fusions by tell-tale transcript level or genomic DNA copy number transitions occurring within genes. Mining data from 974 diverse cancer samples, we identified 198 candidate fusions involving annotated cancer genes. From these, we validated and further characterized novel gene fusions involving ROS1 tyrosine kinase in angiosarcoma (CEP85L/ROS1), SLC1A2 glutamate transporter in colon cancer (APIP/SLC1A2), RAF1 kinase in pancreatic cancer (ATG7/RAF1) and anaplastic astrocytoma (BCL6/RAF1), EWSR1 in melanoma (EWSR1/CREM), CDK6 kinase in T-cell acute lymphoblastic leukemia (FAM133B/CDK6), and CLTC in breast cancer (CLTC/VMP1). Notably, while these fusions involved known cancer genes, all occurred with novel fusion partners and in previously unreported cancer types. Moreover, several constituted druggable targets (including kinases), with therapeutic implications for their respective malignancies. Lastly, breakpoint analysis identified new cell line models for known rearrangements, including EGFRvIII and FIP1L1/PDGFRA. Taken together, we provide a robust approach for gene fusion discovery, and our results highlight a more widespread role of fusion genes in cancer pathogenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
India 1 <1%
Norway 1 <1%
Thailand 1 <1%
Denmark 1 <1%
Unknown 134 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 22%
Student > Ph. D. Student 30 21%
Other 14 10%
Student > Master 13 9%
Student > Bachelor 8 6%
Other 23 16%
Unknown 21 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 28%
Agricultural and Biological Sciences 38 27%
Medicine and Dentistry 23 16%
Engineering 6 4%
Immunology and Microbiology 4 3%
Other 6 4%
Unknown 24 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 November 2022.
All research outputs
#4,370,146
of 25,377,790 outputs
Outputs from PLoS Genetics
#3,421
of 8,960 outputs
Outputs of similar age
#35,510
of 205,934 outputs
Outputs of similar age from PLoS Genetics
#63
of 186 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one has gotten more attention than average, scoring higher than 61% 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 205,934 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 82% of its contemporaries.
We're also able to compare this research output to 186 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 66% of its contemporaries.