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Next-Generation Genotyping by Digital PCR to Detect and Quantify the BRAF V600E Mutation in Melanoma Biopsies

Overview of attention for article published in The Journal of Molecular Diagnostics, May 2015
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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2 X users
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1 patent
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1 Facebook page

Readers on

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40 Mendeley
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1 CiteULike
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Article details
Title
Next-Generation Genotyping by Digital PCR to Detect and Quantify the BRAF V600E Mutation in Melanoma Biopsies
Published in
The Journal of Molecular Diagnostics, May 2015
DOI 10.1016/j.jmoldx.2015.02.004
Pubmed ID
Authors
Abstract

The detection of the BRAF V600E mutation in melanoma samples is used to select patients who should respond to BRAF inhibitors. Different techniques are routinely used to determine BRAF status in clinical samples. However, low tumor cellularity and tumor heterogeneity can affect the sensitivity of somatic mutation detection. Digital PCR (dPCR) is a next-generation genotyping method that clonally amplifies nucleic acids and allows the detection and quantification of rare mutations. Our aim was to evaluate the clinical routine performance of a new dPCR-based test to detect and quantify BRAF mutation load in 47 paraffin-embedded cutaneous melanoma biopsies. We compared the results obtained by dPCR with high-resolution melting curve analysis and pyrosequencing or with one of the allele-specific PCR methods available on the market. dPCR showed the lowest limit of detection. dPCR and allele-specific amplification detected the highest number of mutated samples. For the BRAF mutation load quantification both dPCR and pyrosequencing gave similar results with strong disparities in allele frequencies in the 47 tumor samples under study (from 0.7% to 79% of BRAF V600E mutations/sample). In conclusion, the four methods showed a high degree of concordance. dPCR was the more-sensitive method to reliably and easily detect mutations. Both pyrosequencing and dPCR could quantify the mutation load in heterogeneous tumor samples.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 40 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 40 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 5 13%
Student > Master 5 13%
Student > Postgraduate 5 13%
Researcher 4 10%
Other 3 8%
Other 3 8%
Unknown 15 38%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 33%
Medicine and Dentistry 6 15%
Agricultural and Biological Sciences 5 13%
Nursing and Health Professions 1 3%
Unknown 15 38%
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 13 June 2025.
All research outputs
#8,908,191
of 30,457,780 outputs
Outputs from The Journal of Molecular Diagnostics
#720
of 1,459 outputs
Outputs of similar age
#87,143
of 290,069 outputs
Outputs of similar age from The Journal of Molecular Diagnostics
#7
of 16 outputs
Altmetric has tracked 30,457,780 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,459 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has gotten more attention than average, scoring higher than 50% 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 290,069 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 16 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 56% of its contemporaries.