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

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...

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Bibliographic Details
Published in:Cancer research (Chicago, Ill.) Ill.), 2002-06, Vol.62 (11), p.3005-3008
Main Authors: WIGLE, Dennis A, JURISICA, Igor, KESHAVJEE, Shaf, DARLING, Gail, WINTON, Timothy, BREITKREUTZ, Bobby-Joe, JORGENSON, Paul, TYERS, Mike, SHEPHERD, Frances A, MING SOUND TSAO, RADULOVICH, Niki, PINTILIE, Melania, ROSSANT, Janet, NI LIU, CHAO LU, WOODGETT, James, SEIDEN, Isolde, JOHNSTON, Michael
Format: Article
Language:English
Subjects:
Adult
Aged
Biological and medical sciences
Carcinoma, Non-Small-Cell Lung - genetics
Carcinoma, Non-Small-Cell Lung - metabolism
Carcinoma, Non-Small-Cell Lung - pathology
Disease-Free Survival
Female
Gene Expression Profiling
Humans
Lung Neoplasms - genetics
Lung Neoplasms - metabolism
Lung Neoplasms - pathology
Male
Medical sciences
Middle Aged
Multigene Family
Oligonucleotide Array Sequence Analysis
Pneumology
Tumors of the respiratory system and mediastinum
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Summary: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.
ISSN:0008-5472
1538-7445