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Article details
Title
What you are missing could matter: a rare, complex BRAF mutation affecting codons 599, 600, and 601 uncovered by next generation sequencing
Published in
Cancer Genetics, June 2014
DOI 10.1016/j.cancergen.2014.06.022
Pubmed ID
Authors
Abstract

Testing for somatic mutations in tumor samples is becoming standard practice in a number of tumor types where targeted therapies are available. Since clinical care is dependent on the identification of the presence or absence of specific mutations, it is important that these mutations be identified consistently and accurately. Here we identify in a patient with metastatic melanoma a novel, complex mutation involving BRAF c.1798A>T (p.T599T), c.1799T>A (p.V600E), and c.1803A>T (p.K601N) that was identified by next generation sequencing but not by standard testing methods. The patient was started on a combination therapy inhibiting both BRAF and MEK, and demonstrated a dramatic clinical response. This case highlights the need for improved methods of mutation testing in tumor samples and exposes a pitfall in allele-specific testing methods that can be overcome using next generation sequencing.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 5 19%
Researcher 5 19%
Professor > Associate Professor 4 15%
Student > Ph. D. Student 3 11%
Other 2 7%
Other 6 22%
Unknown 2 7%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 8 30%
Biochemistry, Genetics and Molecular Biology 6 22%
Agricultural and Biological Sciences 5 19%
Chemistry 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 7%
Unknown 3 11%
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 10 September 2014.
All research outputs
#22,690,735
of 27,774,969 outputs
Outputs from Cancer Genetics
#26
of 32 outputs
Outputs of similar age
#184,309
of 246,498 outputs
Outputs of similar age from Cancer Genetics
#1
of 2 outputs
Altmetric has tracked 27,774,969 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 2.5. This one scored the same or higher as 6 of them.
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 246,498 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them