Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

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

Johansson, Peter LU ; Pavey, Sandra and Hayward, Nicholas (2007) In Pigment Cell Research 20(3). p.216-221
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
SVM, expression, BRAF, microarray, mutation, signature
in
Pigment Cell Research
volume
20
issue
3
pages
216 - 221
publisher
Wiley-Blackwell
external identifiers
  • wos:000246624400010
  • scopus:34248630805
ISSN
0893-5785
DOI
10.1111/j.1600-0749.2007.00375.x
language
English
LU publication?
yes
id
bd4b09e3-d32d-40ca-bcc2-22d547c34949 (old id 658080)
date added to LUP
2016-04-01 11:37:36
date last changed
2023-01-02 20:59:45
@article{bd4b09e3-d32d-40ca-bcc2-22d547c34949,
  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.}},
  author       = {{Johansson, Peter and Pavey, Sandra and Hayward, Nicholas}},
  issn         = {{0893-5785}},
  keywords     = {{SVM; expression; BRAF; microarray; mutation; signature}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{216--221}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Pigment Cell Research}},
  title        = {{Confirmation of a BRAF mutation-associated gene expression signature in melanoma}},
  url          = {{http://dx.doi.org/10.1111/j.1600-0749.2007.00375.x}},
  doi          = {{10.1111/j.1600-0749.2007.00375.x}},
  volume       = {{20}},
  year         = {{2007}},
}