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Whole‐exome sequencing defines the mutational landscape of pheochromocytoma and identifies KMT2D as a recurrently mutated gene

Overview of attention for article published in Genes, Chromosomes, and Cancer, May 2015
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Title
Whole‐exome sequencing defines the mutational landscape of pheochromocytoma and identifies KMT2D as a recurrently mutated gene
Published in
Genes, Chromosomes, and Cancer, May 2015
DOI 10.1002/gcc.22267
Pubmed ID
Authors

C. Christofer Juhlin, Adam Stenman, Felix Haglund, Victoria E. Clark, Taylor C. Brown, Jacob Baranoski, Kaya Bilguvar, Gerald Goh, Jenny Welander, Fredrika Svahn, Jill C. Rubinstein, Stefano Caramuta, Katsuhito Yasuno, Murat Günel, Martin Bäckdahl, Oliver Gimm, Peter Söderkvist, Manju L. Prasad, Reju Korah, Richard P. Lifton, Tobias Carling

Abstract

As subsets of pheochromocytomas (PCCs) lack a defined molecular etiology, we sought to characterize the mutational landscape of PCCs to identify novel gene candidates involved in disease development. A discovery cohort of 15 PCCs wild type for mutations in PCC susceptibility genes underwent whole-exome sequencing, and an additional 83 PCCs served as a verification cohort for targeted sequencing of candidate mutations. A low rate of nonsilent single nucleotide variants (SNVs) was detected (6.1/sample). Somatic HRAS and EPAS1 mutations were observed in one case each, whereas the remaining 13 cases did not exhibit variants in established PCC genes. SNVs aggregated in apoptosis-related pathways, and mutations in COSMIC genes not previously reported in PCCs included ZAN, MITF, WDTC1, and CAMTA1. Two somatic mutations and one constitutional variant in the well-established cancer gene lysine (K)-specific methyltransferase 2D (KMT2D, MLL2) were discovered in one sample each, prompting KMT2D screening using focused exome-sequencing in the verification cohort. An additional 11 PCCs displayed KMT2D variants, of which two were recurrent. In total, missense KMT2D variants were found in 14 (11 somatic, two constitutional, one undetermined) of 99 PCCs (14%). Five cases displayed somatic mutations in the functional FYR/SET domains of KMT2D, constituting 36% of all KMT2D-mutated PCCs. KMT2D expression was upregulated in PCCs compared to normal adrenals, and KMT2D overexpression positively affected cell migration in a PCC cell line. We conclude that KMT2D represents a recurrently mutated gene with potential implication for PCC development. © 2015 Wiley Periodicals, Inc.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Bachelor 5 15%
Researcher 4 12%
Student > Master 4 12%
Other 1 3%
Other 2 6%
Unknown 10 30%
Readers by discipline Count As %
Medicine and Dentistry 10 30%
Agricultural and Biological Sciences 6 18%
Biochemistry, Genetics and Molecular Biology 5 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Unknown 10 30%
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 29 April 2016.
All research outputs
#6,882,997
of 25,394,764 outputs
Outputs from Genes, Chromosomes, and Cancer
#372
of 1,542 outputs
Outputs of similar age
#74,654
of 279,568 outputs
Outputs of similar age from Genes, Chromosomes, and Cancer
#2
of 10 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,542 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 75% 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 279,568 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 73% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.