Mining gene expression profiles: expression signatures as cancer phenotypes.

Published

Journal Article (Review)

Many examples highlight the power of gene expression profiles, or signatures, to inform an understanding of biological phenotypes. This is perhaps best seen in the context of cancer, where expression signatures have tremendous power to identify new subtypes and to predict clinical outcomes. Although the ability to interpret the meaning of the individual genes in these signatures remains a challenge, this does not diminish the power of the signature to characterize biological states. The use of these signatures as surrogate phenotypes has been particularly important, linking diverse experimental systems that dissect the complexity of biological systems with the in vivo setting in a way that was not previously feasible.

Full Text

Cited Authors

  • Nevins, JR; Potti, A

Published Date

  • August 2007

Published In

Volume / Issue

  • 8 / 8

Start / End Page

  • 601 - 609

PubMed ID

  • 17607306

Pubmed Central ID

  • 17607306

Electronic International Standard Serial Number (EISSN)

  • 1471-0064

International Standard Serial Number (ISSN)

  • 1471-0056

Digital Object Identifier (DOI)

  • 10.1038/nrg2137

Language

  • eng