Genomic signatures to guide the use of chemotherapeutics.

Other Article (Journal Article)

Using in vitro drug sensitivity data coupled with Affymetrix microarray data, we developed gene expression signatures that predict sensitivity to individual chemotherapeutic drugs. Each signature was validated with response data from an independent set of cell line studies. We further show that many of these signatures can accurately predict clinical response in individuals treated with these drugs. Notably, signatures developed to predict response to individual agents, when combined, could also predict response to multidrug regimens. Finally, we integrated the chemotherapy response signatures with signatures of oncogenic pathway deregulation to identify new therapeutic strategies that make use of all available drugs. The development of gene expression profiles that can predict response to commonly used cytotoxic agents provides opportunities to better use these drugs, including using them in combination with existing targeted therapies.

Full Text

Duke Authors

Cited Authors

  • Potti, A; Dressman, HK; Bild, A; Riedel, RF; Chan, G; Sayer, R; Cragun, J; Cottrill, H; Kelley, MJ; Petersen, R; Harpole, D; Marks, J; Berchuck, A; Ginsburg, GS; Febbo, P; Lancaster, J; Nevins, JR

Published Date

  • November 2006

Published In

Volume / Issue

  • 12 / 11

Start / End Page

  • 1294 - 1300

PubMed ID

  • 17057710

International Standard Serial Number (ISSN)

  • 1078-8956

Digital Object Identifier (DOI)

  • 10.1038/nm1491


  • eng

Conference Location

  • United States