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SF3B1 mutation identifies a distinct subset of myelodysplastic syndrome with ring sideroblasts

Overview of attention for article published in Blood, May 2015
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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19 X users
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1 patent

Citations

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370 Dimensions

Readers on

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262 Mendeley
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2 CiteULike
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Title
SF3B1 mutation identifies a distinct subset of myelodysplastic syndrome with ring sideroblasts
Published in
Blood, May 2015
DOI 10.1182/blood-2015-03-633537
Pubmed ID
Authors

Luca Malcovati, Mohsen Karimi, Elli Papaemmanuil, Ilaria Ambaglio, Martin Jädersten, Monika Jansson, Chiara Elena, Anna Gallì, Gunilla Walldin, Matteo G Della Porta, Klas Raaschou-Jensen, Erica Travaglino, Klaus Kallenbach, Daniela Pietra, Viktor Ljungström, Simona Conte, Emanuela Boveri, Rosangela Invernizzi, Richard Rosenquist, Peter J Campbell, Mario Cazzola, Eva Hellström Lindberg

Abstract

Refractory anemia with ring sideroblasts (RARS) is a myelodysplastic syndrome (MDS) characterized by isolated erythroid dysplasia and 15% or more ring sideroblasts in the bone marrow. Ring sideroblasts are found also in other MDS subtypes, such as refractory cytopenia with multilineage dysplasia and ring sideroblasts (RCMD-RS). A high prevalence of somatic mutations of SF3B1 has been reported in these conditions. To identify mutation patterns that affect disease phenotype and clinical outcome, we performed a comprehensive mutation analysis in 293 patients with a myeloid neoplasm and 1% or more ring sideroblasts. SF3B1 mutations were detected in 129/159 cases (81%) of RARS or RCMD-RS. Among other patients with ring sideroblasts, lower prevalence of SF3B1 mutations and higher prevalence of mutations in other splicing factor genes were observed (P<.001). In multivariable analyses, patients with SF3B1 mutations showed significantly better overall survival (HR .37, P=.003) and lower cumulative incidence of disease progression (HR=0.31, P=.018) compared with SF3B1-unmutated cases. The independent prognostic value of SF3B1 mutation was retained when the analyses were restricted to MDS subgroups without excess blasts, as well as to sideroblastic categories (RARS and RCMD-RS). Among SF3B1-mutated patients, coexisting mutations in DNA methylation genes were associated with multilineage dysplasia (P=.015) but had no effect on clinical outcome. TP53 mutations were frequently detected in patients without SF3B1 mutation, and were associated with poor clinical outcome. Thus, SF3B1 mutation identifies a distinct MDS subtype that is unlikely to develop detrimental subclonal mutations and is characterized by indolent clinical course and favorable outcome.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Japan 1 <1%
Canada 1 <1%
Unknown 256 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 17%
Researcher 31 12%
Other 22 8%
Student > Bachelor 21 8%
Student > Master 19 7%
Other 61 23%
Unknown 63 24%
Readers by discipline Count As %
Medicine and Dentistry 83 32%
Biochemistry, Genetics and Molecular Biology 61 23%
Agricultural and Biological Sciences 27 10%
Computer Science 5 2%
Immunology and Microbiology 5 2%
Other 13 5%
Unknown 68 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 30 November 2021.
All research outputs
#2,760,013
of 25,374,647 outputs
Outputs from Blood
#3,123
of 33,238 outputs
Outputs of similar age
#34,431
of 279,160 outputs
Outputs of similar age from Blood
#57
of 313 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,238 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 279,160 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 87% of its contemporaries.
We're also able to compare this research output to 313 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.