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 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.
Wigle
Dennis A
DA
Thoracic Oncology Site Group, Princess Margaret Hospital, Samuel Lunenfeld Research Institute of Mount Sinai Hospital, University of Toronto, 610 University Avenue, Toronto, Ontario, Canada M5G 2M9.
Jurisica
Igor
I
Radulovich
Niki
N
Pintilie
Melania
M
Rossant
Janet
J
Liu
Ni
N
Lu
Chao
C
Woodgett
James
J
Seiden
Isolde
I
Johnston
Michael
M
Keshavjee
Shaf
S
Darling
Gail
G
Winton
Timothy
T
Breitkreutz
Bobby-Joe
BJ
Jorgenson
Paul
P
Tyers
Mike
M
Shepherd
Frances A
FA
Tsao
Ming Sound
MS
D000328:Adult; D000368:Aged; D002289:Carcinoma, Non-Small-Cell Lung / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D018572:Disease-Free Survival; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008175:Lung Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D008297:Male; D008875:Middle Aged; D005810:Multigene Family; D020411:Oligonucleotide Array Sequence Analysis