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Impact of mutational studies on the diagnosis and the outcome of high-risk myelodysplastic syndromes and secondary acute myeloid leukemia patients treated with 5-azacytidine

Overview of attention for article published in Oncotarget, April 2018
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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17 Mendeley
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Title
Impact of mutational studies on the diagnosis and the outcome of high-risk myelodysplastic syndromes and secondary acute myeloid leukemia patients treated with 5-azacytidine
Published in
Oncotarget, April 2018
DOI 10.18632/oncotarget.25046
Pubmed ID
Authors

Marta Cabezón, Joan Bargay, Blanca Xicoy, Olga García, Josep Borrás, Mar Tormo, Sílvia Marcé, Carme Pedro, David Valcárcel, Maria-José Jiménez, Ramón Guàrdia, Laura Palomo, Salut Brunet, Ferran Vall-Llovera, Antoni Garcia, Evarist Feliu, Lurdes Zamora

Abstract

Myelodysplastic syndromes (MDS) are stem cell disorders caused by various gene abnormalities. We performed targeted deep sequencing in 39 patients with high-risk MDS and secondary acute myeloid leukemia (sAML) at diagnosis and follow-up (response and/or relapse), with the aim to define their mutational status, to establish if specific mutations are biomarkers of response to 5-azacytidine (AZA) and/or may have impact on survival. Overall, 95% of patients harbored at least one mutation. TP53, DNMT3A and SRSF2 were the most frequently altered genes. Mutations in TP53 correlated with higher risk features and shorter overall survival (OS) and progression free survival (PFS) in univariate analysis. Patients with SRSF2 mutations were associated with better OS and PFS. Response rate was 55%; but we could not correlate the presence of TET2 and TP53 mutations with AZA response. Patients with sAML presented more variations than patients with high-risk MDS, and usually at relapse the number of mutations increased, supporting the idea that in advanced stages of the disease there is a greater genomic complexity. These results confirm that mutation analysis can add prognostic value to high-risk MDS and sAML patients, not only at diagnosis but also at follow-up.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 24%
Student > Ph. D. Student 2 12%
Student > Postgraduate 2 12%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Other 3 18%
Unknown 4 24%
Readers by discipline Count As %
Medicine and Dentistry 5 29%
Biochemistry, Genetics and Molecular Biology 3 18%
Pharmacology, Toxicology and Pharmaceutical Science 2 12%
Immunology and Microbiology 2 12%
Nursing and Health Professions 1 6%
Other 0 0%
Unknown 4 24%
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 20 July 2018.
All research outputs
#15,596,184
of 24,716,872 outputs
Outputs from Oncotarget
#6,100
of 14,213 outputs
Outputs of similar age
#192,313
of 334,298 outputs
Outputs of similar age from Oncotarget
#163
of 374 outputs
Altmetric has tracked 24,716,872 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,213 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 54% 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 334,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 374 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 54% of its contemporaries.