Breast cancer: integrating the patient with her genome.

Published

Journal Article (Review)

Increasingly, gene expression data are becoming the currency of the realm in assessing disease prognosis. This has been especially evident in cancer, particularly those malignancies for which tumor samples are fairly accessible and understanding prognostic factors has clear implications for treatment decisions. Recently, Pittman et al. demonstrated substantially increased accuracy of personalized disease outcome prediction in breast cancer by integrating gene-expression profile data with traditional clinical risk factors in a set of 158 breast cancer patients.

Full Text

Duke Authors

Cited Authors

  • Angrist, M

Published Date

  • January 2005

Published In

Volume / Issue

  • 23 / 1

Start / End Page

  • 3 - 5

PubMed ID

  • 15629848

Pubmed Central ID

  • 15629848

Electronic International Standard Serial Number (EISSN)

  • 1879-3096

International Standard Serial Number (ISSN)

  • 0167-7799

Digital Object Identifier (DOI)

  • 10.1016/j.tibtech.2004.11.007

Language

  • eng