Molecular classification and molecular genetics of human lung cancers.


Journal Article (Review)

Recent advances in the molecular classification of lung carcinomas and the identification of causative genetic alterations will likely lead to improvements in the diagnosis and treatment of patients with lung cancer. It is now possible to identify gene expression profiles that associate with patient outcome in lung carcinomas, in particular adenocarcinoma. Furthermore, patient survival has been shown to correlate with lung cancer oligonucleotide microarray expression profiles. Large-scale microarray technology may allow for the identification of useful biomarkers for early cancer detection. Oligonucleotide microarray data can be optimized by relating them to protein expression levels in tissue microarrays, by annotation with mutational data, and with results of testing for post-translational modification of cellular proteins. These data may be useful in tailoring chemotherapeutic protocols to individual tumors and identifying new targets for therapeutic intervention.

Full Text

Duke Authors

Cited Authors

  • Meyerson, M; Franklin, WA; Kelley, MJ

Published Date

  • February 2004

Published In

Volume / Issue

  • 31 / 1 Suppl 1

Start / End Page

  • 4 - 19

PubMed ID

  • 14981576

Pubmed Central ID

  • 14981576

International Standard Serial Number (ISSN)

  • 0093-7754

Digital Object Identifier (DOI)

  • 10.1053/j.seminoncol.2003.12.009


  • eng

Conference Location

  • United States