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Leukemic transformation driven by an ASXL1 mutation after a JAK2V617F-positive primary myelofibrosis: clonal evolution and hierarchy revealed by next-generation sequencing

Overview of attention for article published in Journal of Hematology & Oncology, September 2013
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Title
Leukemic transformation driven by an ASXL1 mutation after a JAK2V617F-positive primary myelofibrosis: clonal evolution and hierarchy revealed by next-generation sequencing
Published in
Journal of Hematology & Oncology, September 2013
DOI 10.1186/1756-8722-6-68
Pubmed ID
Authors

Francisca Ferrer-Marín, Beatriz Bellosillo, Luz Martínez-Avilés, Gloria Soler, Pablo Carbonell, Ginés Luengo-Gil, Eva Caparrós, José M Torregrosa, Carlos Besses, Vicente Vicente

Abstract

We have characterized the molecular changes underlying the transformation of a JAK2V617F+-myelofibrosis with trisomy 8, into a JAK2V617F-negative leukemia. Leukemic clone did not carry JAK2V617F mutation, but showed ASXL1 mutation (R693X). This mutation was identified in a low percentage at diagnosis by next-generation sequencing. Using this technology in serial specimens during the follow-up, we observed a progressive expansion of the ASXL1-mutated minor clone, whereas the JAK2V617F+-clone carrying trisomy 8 decreased. Hematologic progression occurred simultaneously with an ASXL1-R693X-negative lung-cancer. This is the first report showing a clear association between the expansion of an ASXL1-mutated clone and the leukemic transformation of myelofibrosis.

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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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 3 17%
Professor > Associate Professor 2 11%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 3 17%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 33%
Medicine and Dentistry 6 33%
Immunology and Microbiology 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 September 2020.
All research outputs
#14,137,100
of 22,761,738 outputs
Outputs from Journal of Hematology & Oncology
#671
of 1,189 outputs
Outputs of similar age
#110,219
of 197,631 outputs
Outputs of similar age from Journal of Hematology & Oncology
#8
of 13 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,189 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 197,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.