Molecular profiling of non-small cell lung cancer and correlations with disease-free survival

Dennis A. Wigle, Michael Johnston, Shaf Keshavjee, Gail Darling, Timothy Winton, Frances A. Shepherd, Ming Sound Tsao, Igor Jurisica, Niki Radulovich, Melania Pintilie, Ni Liu, Chao Lu, James Woodgett, Isolde Seiden, Ming Sound Tsao, Dennis A. Wigle, Janet Rossant, Bobby Joe Breitkreutz, Paul Jorgenson, Mike Tyers

Research output: Contribution to journalArticle

231 Scopus citations

Abstract

Recent studies have suggested that information from gene expression profiles could be used to develop molecular classifications of cancer. We hypothesized that expression levels of specific genes in operative specimens could be correlated to recurrence risk in non-small cell lung cancer (NSCLC). We performed expression profiling using 19.2 K cDNA microarrays on tumor specimens from a total of 39 NSCLC patients with known clinical follow-up information. Statistical analysis and clustering approaches were used to determine patterns of gene expression segregating with clinical outcome. The results provide evidence that molecular subtyping of NSCLC can identify distinct profiles of gene expression correlating with disease-free survival.

Original languageEnglish (US)
Pages (from-to)3005-3008
Number of pages4
JournalCancer research
Volume62
Issue number11
StatePublished - Jun 1 2002

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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    Wigle, D. A., Johnston, M., Keshavjee, S., Darling, G., Winton, T., Shepherd, F. A., Tsao, M. S., Jurisica, I., Radulovich, N., Pintilie, M., Liu, N., Lu, C., Woodgett, J., Seiden, I., Tsao, M. S., Wigle, D. A., Rossant, J., Breitkreutz, B. J., Jorgenson, P., & Tyers, M. (2002). Molecular profiling of non-small cell lung cancer and correlations with disease-free survival. Cancer research, 62(11), 3005-3008.