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Microarray expression profiling in melanoma reveals a BRAF mutation signature

Author:
  • S Pavey
  • Peter Johansson
  • L Packer
  • J Taylor
  • M Stark
  • PM Pollock
  • GJ Walker
  • GM Boyle
  • U Harper
  • SJ Cozzi
  • K Hansen
  • L Yudt
  • C Schmidt
  • P Hersey
  • KAO Ellem
  • MGE O'Rourke
  • PG Parsons
  • P Meltzer
  • Markus Ringnér
  • NK Hayward
Publishing year: 2004
Language: English
Pages: 4060-4067
Publication/Series: Oncogene
Volume: 23
Issue: 23
Document type: Journal article
Publisher: Nature Publishing Group

Abstract english

We have used microarray gene expression pro. ling and machine learning to predict the presence of BRAF mutations in a panel of 61 melanoma cell lines. The BRAF gene was found to be mutated in 42 samples (69%) and intragenic mutations of the NRAS gene were detected in seven samples (11%). No cell line carried mutations of both genes. Using support vector machines, we have built a classifier that differentiates between melanoma cell lines based on BRAF mutation status. As few as 83 genes are able to discriminate between BRAF mutant and BRAF wild-type samples with clear separation observed using hierarchical clustering. Multidimensional scaling was used to visualize the relationship between a BRAF mutation signature and that of a generalized mitogen-activated protein kinase ( MAPK) activation ( either BRAF or NRAS mutation) in the context of the discriminating gene list. We observed that samples carrying NRAS mutations lie somewhere between those with or without BRAF mutations. These observations suggest that there are gene-specific mutation signals in addition to a common MAPK activation that result from the pleiotropic effects of either BRAF or NRAS on other signaling pathways, leading to measurably different transcriptional changes.

Keywords

  • Cancer and Oncology
  • mitogenactivated protein kinase
  • microarray
  • BRAF
  • melanoma
  • mutation

Other

Published
  • ISSN: 1476-5594
Markus Ringnér
E-mail: markus [dot] ringner [at] biol [dot] lu [dot] se

Research engineer

Molecular Cell Biology

B-A317

Sölvegatan 35, Lund

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