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Confirmation of a BRAF mutation‐associated gene expression signature in melanoma

Overview of attention for article published in Pigment Cell & Melanoma Research, May 2007
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

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4 patents
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1 research highlight platform

Citations

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76 Dimensions

Readers on

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40 Mendeley
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1 CiteULike
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Title
Confirmation of a BRAF mutation‐associated gene expression signature in melanoma
Published in
Pigment Cell & Melanoma Research, May 2007
DOI 10.1111/j.1600-0749.2007.00375.x
Pubmed ID
Authors

Peter Johansson, Sandra Pavey, Nicholas Hayward

Abstract

Mutations in the BRAF oncogene occur in the majority of melanomas, leading to the activation of the mitogen-activated protein kinase pathway and the transcription of downstream effectors. As BRAF and its effectors could be good melanoma therapy targets, defining the repertoire of genes that are differentially regulated because of BRAF mutational activation is an important objective. Towards this goal, we and others have attempted to determine whether a BRAF mutation-associated gene expression profile exists. Results have been mixed, with some groups reporting a BRAF-signature and another group not. Here we resolve this issue and confirm that while gene-by-gene correlations fail to reveal a specific gene(s) whose expression correlates with BRAF status, a BRAF signature can be distinguished by analysis of global expression patterns. Specifically, we have here applied support vector machine (SVM) analysis to Affymetrix microarray data from a panel of 63 melanoma cell lines. SVMs found a BRAF signature in training samples and predicted BRAF mutation status with high accuracy (AUC=0.840) in the remaining samples. We verified this is a generalized BRAF signature by repeating the analysis in three published microarray datasets, and again found that SVMs predicted BRAF mutation well (Philadelphia: AUC=0.788; Zurich: AUC=0.688; Mannheim: AUC=0.686). An ensemble of 300 SVMs trained on our data also predicted BRAF mutation status in two of the three published datasets (Philadelphia AUC=0.778; Zurich AUC=0.719; Mannheim AUC=0.564). Taken together, these data support the existence of a BRAF mutation-specific expression signature.

Mendeley readers

Mendeley readers

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.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Ph. D. Student 7 18%
Student > Master 4 10%
Professor > Associate Professor 3 8%
Student > Doctoral Student 2 5%
Other 7 18%
Unknown 8 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 33%
Biochemistry, Genetics and Molecular Biology 9 23%
Immunology and Microbiology 3 8%
Mathematics 2 5%
Medicine and Dentistry 2 5%
Other 2 5%
Unknown 9 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 June 2023.
All research outputs
#3,414,665
of 25,371,288 outputs
Outputs from Pigment Cell & Melanoma Research
#102
of 1,266 outputs
Outputs of similar age
#8,722
of 85,348 outputs
Outputs of similar age from Pigment Cell & Melanoma Research
#1
of 3 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 91% 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 85,348 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 3 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