TY - JOUR
T1 - Molecular characteristics of non-small cell lung cancer
AU - Nacht, Mariana
AU - Dracheva, Tatiana
AU - Gao, Yuhong
AU - Fujii, Takeshi
AU - Chen, Yidong
AU - Player, Audrey
AU - Akmaev, Viatcheslav
AU - Cook, Brian
AU - Dufault, Michael
AU - Zhang, Mindy
AU - Zhang, Wen
AU - Guo, Ming Zhou
AU - Curran, John
AU - Han, Sean
AU - Sidransky, David
AU - Buetow, Kenneth
AU - Madden, Stephen L.
AU - Jen, Jin
PY - 2001/12/18
Y1 - 2001/12/18
N2 - We used hierarchical clustering to examine gene expression profiles generated by serial analysis of gene expression (SAGE) in a total of nine normal lung epithelial cells and non-small cell lung cancers. Separation of normal and tumor, as well as histopathological subtypes, was evident by using the 3,921 most abundant transcript tags. This distinction remained when only 115 highly differentially expressed tags were used. Furthermore, these 115 transcript tags clustered into groups suggestive of the unique biological and pathological features of the different tissues examined. Adenocarcinomas were characterized by high-level expression of small airway-associated or immunologically related proteins, whereas squamous cell carcinomas overexpressed genes involved in cellular detoxification or antioxidation. The messages of two p53-regulated genes, p21WAF1/CIP1 and 14-3-3σ, were consistently underexpressed in the adenocarcinomas, suggesting that the p53 pathway itself might be compromised in this cancer type. Gene expression patterns observed by SAGE were consistent with results obtained by quantitative real-time PCR or cDNA array analyses by using a total of 43 lung tumor and normal samples. Thus, although derived from only a few tissue libraries, gene expression profiles obtained by using SAGE most likely represent an unbiased yet distinctive molecular signature for the most common forms of human lung cancer.
AB - We used hierarchical clustering to examine gene expression profiles generated by serial analysis of gene expression (SAGE) in a total of nine normal lung epithelial cells and non-small cell lung cancers. Separation of normal and tumor, as well as histopathological subtypes, was evident by using the 3,921 most abundant transcript tags. This distinction remained when only 115 highly differentially expressed tags were used. Furthermore, these 115 transcript tags clustered into groups suggestive of the unique biological and pathological features of the different tissues examined. Adenocarcinomas were characterized by high-level expression of small airway-associated or immunologically related proteins, whereas squamous cell carcinomas overexpressed genes involved in cellular detoxification or antioxidation. The messages of two p53-regulated genes, p21WAF1/CIP1 and 14-3-3σ, were consistently underexpressed in the adenocarcinomas, suggesting that the p53 pathway itself might be compromised in this cancer type. Gene expression patterns observed by SAGE were consistent with results obtained by quantitative real-time PCR or cDNA array analyses by using a total of 43 lung tumor and normal samples. Thus, although derived from only a few tissue libraries, gene expression profiles obtained by using SAGE most likely represent an unbiased yet distinctive molecular signature for the most common forms of human lung cancer.
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U2 - 10.1073/pnas.261414598
DO - 10.1073/pnas.261414598
M3 - Article
C2 - 11752463
AN - SCOPUS:0035909987
SN - 0027-8424
VL - 98
SP - 15203
EP - 15208
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 26
ER -