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Genomic analysis of hairy cell leukemia identifies novel recurrent genetic alterations

Overview of attention for article published in Blood, August 2017
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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21 X users
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1 clinical guideline source

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64 Mendeley
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Article details
Title
Genomic analysis of hairy cell leukemia identifies novel recurrent genetic alterations
Published in
Blood, August 2017
DOI 10.1182/blood-2017-01-765107
Pubmed ID
Authors
Abstract

Classical hairy cell leukemia (cHCL) is characterized by a near 100% frequency of the BRAFV600E mutation while ~30% of variant HCL (vHCL) have MAP2K1 mutations. However, recurrent genetic alterations cooperating with BRAFV600E or MAP2K1 mutations in HCL, as well as those in MAP2K1- wildtype vHCL, are not well defined. We therefore performed deep targeted mutational and copy number analysis of cHCL (n=53) and vHCL (n=8). The most common genetic alteration in cHCL outside of BRAFV600E was heterozygous loss of chromosome 7q, the minimally deleted region of which targeted wildtype BRAF, subdividing cHCL into those hemizygous versus heterozygous for the BRAFV600E mutation. In addition to CDKN1B mutations in cHCL, recurrent inactivating mutations in KMT2C (MLL3) were identified in 15% and 25% of cHCL and vHCL, respectively. Moreover, 13% of vHCL harbored predicted activating mutations in CCND3 A change-of-function mutation in the splicing factor U2AF1 was also present in 13% of vHCL. Genomic analysis of de novo vemurafenib resistant cHCL identified a novel gain-of-function mutation in IRS1 and losses of NF1 and NF2, each of which contributed to resistance. These data provide further insights into the genetic basis of cHCL, vHCL, and mechanisms of RAF inhibitor resistance encountered clinically.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 64 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 %
Unknown 64 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 17%
Student > Ph. D. Student 8 13%
Student > Master 8 13%
Other 5 8%
Professor 5 8%
Other 8 13%
Unknown 19 30%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 24 38%
Biochemistry, Genetics and Molecular Biology 13 20%
Agricultural and Biological Sciences 2 3%
Arts and Humanities 1 2%
Business, Management and Accounting 1 2%
Other 3 5%
Unknown 20 31%
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 10 June 2024.
All research outputs
#2,778,922
of 28,453,364 outputs
Outputs from Blood
#3,684
of 38,370 outputs
Outputs of similar age
#45,318
of 335,549 outputs
Outputs of similar age from Blood
#70
of 254 outputs
Altmetric has tracked 28,453,364 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 38,370 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 90% 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 335,549 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 86% of its contemporaries.
We're also able to compare this research output to 254 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 72% of its contemporaries.