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Diverse and Targetable Kinase Alterations Drive Histiocytic Neoplasms

Overview of attention for article published in Cancer Discovery, February 2016
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
2 news outlets
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8 X users
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4 patents
facebook
1 Facebook page

Citations

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396 Dimensions

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186 Mendeley
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Title
Diverse and Targetable Kinase Alterations Drive Histiocytic Neoplasms
Published in
Cancer Discovery, February 2016
DOI 10.1158/2159-8290.cd-15-0913
Pubmed ID
Authors

Eli L Diamond, Benjamin H Durham, Julien Haroche, Zhan Yao, Jing Ma, Sameer A Parikh, Zhaoming Wang, John Choi, Eunhee Kim, Fleur Cohen-Aubart, Stanley Chun-Wei Lee, Yijun Gao, Jean-Baptiste Micol, Patrick Campbell, Michael P Walsh, Brooke Sylvester, Igor Dolgalev, Olga Aminova, Adriana Heguy, Paul Zappile, Joy Nakitandwe, Chezi Ganzel, James D Dalton, David W Ellison, Juvianee Estrada-Veras, Mario Lacouture, William A Gahl, Philip J Stephens, Vincent A Miller, Jeffrey S Ross, Siraj M Ali, Samuel R Briggs, Omotayo Fasan, Jared Block, Sebastien Héritier, Jean Donadieu, David B Solit, David M Hyman, José Baselga, Filip Janku, Barry S Taylor, Christopher Y Park, Zahir Amoura, Ahmet Dogan, Jean-Francois Emile, Neal Rosen, Tanja A Gruber, Omar Abdel-Wahab

Abstract

Histiocytic neoplasms are clonal, hematopoietic disorders characterized by an accumulation of abnormal, monocyte-derived dendritic cells or macrophages in Langerhans Cell (LCH) and non-Langerhans (non-LCH) histiocytoses, respectively. The discovery of BRAFV600E mutations in ~50% of these patients provided the first molecular therapeutic target in histiocytosis. However, recurrent driving mutations in the majority of BRAFV600E-wildtype, non-LCH patients are unknown, and recurrent cooperating mutations in non-MAP kinase pathways are undefined for the histiocytic neoplasms. Through combined whole exome and transcriptome sequencing, we identified recurrent kinase fusions involving BRAF, ALK, and NTRK1, as well as recurrent, activating MAP2K1 and ARAF mutations in BRAFV600E-wildtype, non-LCH patients. In addition to MAP kinase pathway lesions, recurrently altered genes involving diverse cellular pathways were identified. Treatment of MAP2K1- and ARAF-mutated, non-LCH patients using MEK and RAF inhibitors, respectively, resulted in clinical efficacy demonstrating the importance of detecting and targeting diverse kinase alterations in these disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 186 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 17%
Other 25 13%
Student > Ph. D. Student 15 8%
Student > Master 15 8%
Professor 15 8%
Other 41 22%
Unknown 43 23%
Readers by discipline Count As %
Medicine and Dentistry 82 44%
Biochemistry, Genetics and Molecular Biology 20 11%
Agricultural and Biological Sciences 17 9%
Immunology and Microbiology 5 3%
Engineering 2 1%
Other 11 6%
Unknown 49 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 27 July 2023.
All research outputs
#1,351,009
of 24,153,435 outputs
Outputs from Cancer Discovery
#659
of 3,845 outputs
Outputs of similar age
#24,869
of 405,353 outputs
Outputs of similar age from Cancer Discovery
#10
of 74 outputs
Altmetric has tracked 24,153,435 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,845 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. 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 405,353 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 93% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.