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[Cancer Research 62, 3005-3008, June 1, 2002]
© 2002 American Association for Cancer Research

Advances in Brief

Molecular Profiling of Non-Small Cell Lung Cancer and Correlation with Disease-free Survival1

Dennis A. Wigle, Igor Jurisica, Niki Radulovich, Melania Pintilie, Janet Rossant, Ni Liu, Chao Lu, James Woodgett, Isolde Seiden, Michael Johnston, Shaf Keshavjee, Gail Darling, Timothy Winton, Bobby-Joe Breitkreutz, Paul Jorgenson, Mike Tyers, Frances A. Shepherd and Ming Sound Tsao2

Thoracic Oncology Site Group, Princess Margaret Hospital [D. A. W., M. J., S. K., G. D., T. W., F. A. S., M. S. T.], Ontario Cancer Institute [I. J., N. R., M. P., N. L., C. L., J. W., I. S., M. S. T.], Samuel Lunenfeld Research Institute of Mount Sinai Hospital [D. A. W., J. R., B-J. B., P. J., M. T.], and University of Toronto, Toronto, Ontario, Canada M5G 2M9

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.




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