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Clinical Effects of Driver Somatic Mutations on the Outcomes of Patients With Myelodysplastic Syndromes Treated With Allogeneic Hematopoietic Stem-Cell Transplantation

Overview of attention for article published in Journal of Clinical Oncology, October 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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3 news outlets
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23 X users
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1 patent
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1 Facebook page

Citations

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211 Dimensions

Readers on

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128 Mendeley
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Title
Clinical Effects of Driver Somatic Mutations on the Outcomes of Patients With Myelodysplastic Syndromes Treated With Allogeneic Hematopoietic Stem-Cell Transplantation
Published in
Journal of Clinical Oncology, October 2016
DOI 10.1200/jco.2016.67.3616
Pubmed ID
Authors

Matteo G Della Porta, Anna Gallì, Andrea Bacigalupo, Silvia Zibellini, Massimo Bernardi, Ettore Rizzo, Bernardino Allione, Maria Teresa van Lint, Pietro Pioltelli, Paola Marenco, Alberto Bosi, Maria Teresa Voso, Simona Sica, Mariella Cuzzola, Emanuele Angelucci, Marianna Rossi, Marta Ubezio, Alberto Malovini, Ivan Limongelli, Virginia V Ferretti, Orietta Spinelli, Cristina Tresoldi, Sarah Pozzi, Silvia Luchetti, Laura Pezzetti, Silvia Catricalà, Chiara Milanesi, Alberto Riva, Benedetto Bruno, Fabio Ciceri, Francesca Bonifazi, Riccardo Bellazzi, Elli Papaemmanuil, Armando Santoro, Emilio P Alessandrino, Alessandro Rambaldi, Mario Cazzola

Abstract

The genetic basis of myelodysplastic syndromes (MDS) is heterogeneous, and various combinations of somatic mutations are associated with different clinical phenotypes and outcomes. Whether the genetic basis of MDS influences the outcome of allogeneic hematopoietic stem-cell transplantation (HSCT) is unclear. We studied 401 patients with MDS or acute myeloid leukemia (AML) evolving from MDS (MDS/AML). We used massively parallel sequencing to examine tumor samples collected before HSCT for somatic mutations in 34 recurrently mutated genes in myeloid neoplasms. We then analyzed the impact of mutations on the outcome of HSCT. Overall, 87% of patients carried one or more oncogenic mutations. Somatic mutations of ASXL1, RUNX1, and TP53 were independent predictors of relapse and overall survival after HSCT in both patients with MDS and patients with MDS/AML (P values ranging from .003 to .035). In patients with MDS/AML, gene ontology (ie, secondary-type AML carrying mutations in genes of RNA splicing machinery, TP53-mutated AML, or de novo AML) was an independent predictor of posttransplantation outcome (P = .013). The impact of ASXL1, RUNX1, and TP53 mutations on posttransplantation survival was independent of the revised International Prognostic Scoring System (IPSS-R). Combining somatic mutations and IPSS-R risk improved the ability to stratify patients by capturing more prognostic information at an individual level. Accounting for various combinations of IPSS-R risk and somatic mutations, the 5-year probability of survival after HSCT ranged from 0% to 73%. Somatic mutation in ASXL1, RUNX1, or TP53 is independently associated with unfavorable outcomes and shorter survival after allogeneic HSCT for patients with MDS and MDS/AML. Accounting for these genetic lesions may improve the prognostication precision in clinical practice and in designing clinical trials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Unknown 126 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 20%
Student > Ph. D. Student 13 10%
Student > Postgraduate 12 9%
Other 10 8%
Student > Doctoral Student 8 6%
Other 24 19%
Unknown 35 27%
Readers by discipline Count As %
Medicine and Dentistry 50 39%
Biochemistry, Genetics and Molecular Biology 18 14%
Agricultural and Biological Sciences 7 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Economics, Econometrics and Finance 2 2%
Other 9 7%
Unknown 40 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 11 July 2023.
All research outputs
#957,365
of 25,075,028 outputs
Outputs from Journal of Clinical Oncology
#2,319
of 21,848 outputs
Outputs of similar age
#17,844
of 323,019 outputs
Outputs of similar age from Journal of Clinical Oncology
#59
of 235 outputs
Altmetric has tracked 25,075,028 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,848 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done well, scoring higher than 89% 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 323,019 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 94% of its contemporaries.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.