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Genomic profiling of canine mast cell tumors identifies DNA copy number aberrations associated with KIT mutations and high histological grade

Overview of attention for article published in Chromosome Research, January 2017
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Title
Genomic profiling of canine mast cell tumors identifies DNA copy number aberrations associated with KIT mutations and high histological grade
Published in
Chromosome Research, January 2017
DOI 10.1007/s10577-016-9543-7
Pubmed ID
Authors

Hiroyuki Mochizuki, Rachael Thomas, Scott Moroff, Matthew Breen

Abstract

Mast cell tumor (MCT) is the most common skin malignancy of domestic dogs and presents with a widely variable clinical behavior. Although activating KIT mutations are present in approximately 20% of canine MCTs, molecular etiology is largely unknown for the majority of this cancer. Characterization of genomic alterations in canine MCTs may identify genomic regions and/or genes responsible for their development and progression, facilitating the discovery of new therapeutic targets and improved clinical management of this heterogeneous cancer. We performed genome-wide DNA copy number analysis of 109 primary MCTs derived from three popular canine breeds (the Boxer, Labrador Retriever, and Pug) as well as nontarget breeds using oligonucleotide array comparative genomic hybridization (oaCGH). We demonstrated a stepwise accumulation of numerical DNA copy number aberrations (CNAs) as tumor grade increases. DNA sequencing analysis revealed that KIT mutations were found less frequently in the Pug tumors and were strongly associated with high histological grade. Tumors with KIT mutations showed genome-wide aberrant copy number profiles, with frequent CNAs involving genes in the p53 and RB pathways, whereas CNAs were very limited in tumors with wild-type KIT. We evaluated the presence of four CNAs to predict aggressive tumor phenotypes. This approach predicted aggressive tumors with a sensitivity of 78-94% and specificity of 88-93%, when using oaCGH and droplet digital PCR platforms. Further investigation of genome regions identified in this study may lead to the development of a molecular tool for classification and prognosis, as well as identification of therapeutic target molecules.

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The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Other 7 12%
Student > Master 7 12%
Student > Bachelor 6 11%
Researcher 4 7%
Professor 3 5%
Other 10 18%
Unknown 20 35%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 18 32%
Medicine and Dentistry 6 11%
Agricultural and Biological Sciences 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Immunology and Microbiology 2 4%
Other 4 7%
Unknown 20 35%
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 08 January 2017.
All research outputs
#20,382,391
of 22,931,367 outputs
Outputs from Chromosome Research
#457
of 508 outputs
Outputs of similar age
#355,841
of 420,904 outputs
Outputs of similar age from Chromosome Research
#11
of 12 outputs
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