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Somatic drivers of B-ALL in a model of ETV6-RUNX1; Pax5+/− leukemia

Overview of attention for article published in BMC Cancer, August 2015
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Title
Somatic drivers of B-ALL in a model of ETV6-RUNX1; Pax5+/− leukemia
Published in
BMC Cancer, August 2015
DOI 10.1186/s12885-015-1586-1
Pubmed ID
Authors

Louise van der Weyden, George Giotopoulos, Kim Wong, Alistair G. Rust, Carla Daniela Robles-Espinoza, Hikari Osaki, Brian J. Huntly, David J. Adams

Abstract

B-cell precursor acute lymphoblastic leukemia (B-ALL) is amongst the leading causes of childhood cancer-related mortality. Its most common chromosomal aberration is the ETV6-RUNX1 fusion gene, with ~25 % of ETV6-RUNX1 patients also carrying PAX5 alterations. We have recreated this mutation background by inter-crossing Etv6-RUNX1 (Etv6 (RUNX1-SB) ) and Pax5 (+/-) mice and performed an in vivo analysis to find driver genes using Sleeping Beauty transposon-mediated mutagenesis and also exome sequencing. Combination of Etv6-RUNX1 and Pax5 (+/-) alleles generated a transplantable B220 + CD19+ B-ALL with a significant disease incidence. RNA-seq analysis showed a gene expression pattern consistent with arrest at the pre-B stage. Analysis of the transposon common insertion sites identified genes involved in B-cell development (Zfp423) and the JAK/STAT signaling pathway (Jak1, Stat5 and Il2rb), while exome sequencing revealed somatic hotspot mutations in Jak1 and Jak3 at residues analogous to those mutated in human leukemias, and also mutation of Trp53. Powerful synergies exists in our model suggesting STAT pathway activation and mutation of Trp53 are potent drivers of B-ALL in the context of Etv6-RUNX1;Pax5 (+/-) .

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 20%
Researcher 9 17%
Student > Ph. D. Student 8 15%
Student > Bachelor 6 11%
Student > Doctoral Student 4 7%
Other 8 15%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 24%
Biochemistry, Genetics and Molecular Biology 12 22%
Medicine and Dentistry 7 13%
Computer Science 4 7%
Immunology and Microbiology 3 6%
Other 5 9%
Unknown 10 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 April 2016.
All research outputs
#18,345,259
of 23,577,654 outputs
Outputs from BMC Cancer
#5,118
of 8,530 outputs
Outputs of similar age
#179,934
of 265,715 outputs
Outputs of similar age from BMC Cancer
#93
of 147 outputs
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We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.