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Transcriptome sequencing in pediatric acute lymphoblastic leukemia identifies fusion genes associated with distinct DNA methylation profiles

Overview of attention for article published in Journal of Hematology & Oncology, August 2017
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Title
Transcriptome sequencing in pediatric acute lymphoblastic leukemia identifies fusion genes associated with distinct DNA methylation profiles
Published in
Journal of Hematology & Oncology, August 2017
DOI 10.1186/s13045-017-0515-y
Pubmed ID
Authors

Yanara Marincevic-Zuniga, Johan Dahlberg, Sara Nilsson, Amanda Raine, Sara Nystedt, Carl Mårten Lindqvist, Eva C. Berglund, Jonas Abrahamsson, Lucia Cavelier, Erik Forestier, Mats Heyman, Gudmar Lönnerholm, Jessica Nordlund, Ann-Christine Syvänen

Abstract

Structural chromosomal rearrangements that lead to expressed fusion genes are a hallmark of acute lymphoblastic leukemia (ALL). In this study, we performed transcriptome sequencing of 134 primary ALL patient samples to comprehensively detect fusion transcripts. We combined fusion gene detection with genome-wide DNA methylation analysis, gene expression profiling, and targeted sequencing to determine molecular signatures of emerging ALL subtypes. We identified 64 unique fusion events distributed among 80 individual patients, of which over 50% have not previously been reported in ALL. Although the majority of the fusion genes were found only in a single patient, we identified several recurrent fusion gene families defined by promiscuous fusion gene partners, such as ETV6, RUNX1, PAX5, and ZNF384, or recurrent fusion genes, such as DUX4-IGH. Our data show that patients harboring these fusion genes displayed characteristic genome-wide DNA methylation and gene expression signatures in addition to distinct patterns in single nucleotide variants and recurrent copy number alterations. Our study delineates the fusion gene landscape in pediatric ALL, including both known and novel fusion genes, and highlights fusion gene families with shared molecular etiologies, which may provide additional information for prognosis and therapeutic options in the future.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 23%
Student > Bachelor 9 12%
Student > Master 8 11%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 5 7%
Other 11 15%
Unknown 16 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 28%
Agricultural and Biological Sciences 10 14%
Medicine and Dentistry 10 14%
Unspecified 3 4%
Computer Science 2 3%
Other 9 12%
Unknown 19 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 October 2017.
All research outputs
#6,164,818
of 22,997,544 outputs
Outputs from Journal of Hematology & Oncology
#428
of 1,198 outputs
Outputs of similar age
#97,710
of 317,683 outputs
Outputs of similar age from Journal of Hematology & Oncology
#9
of 18 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 64% 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 317,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 18 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 50% of its contemporaries.