In:
Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 98, No. 26 ( 2001-12-18), p. 15203-15208
Abstract:
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, p21 WAF1/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.
Type of Medium:
Online Resource
ISSN:
0027-8424
,
1091-6490
DOI:
10.1073/pnas.261414598
Language:
English
Publisher:
Proceedings of the National Academy of Sciences
Publication Date:
2001
detail.hit.zdb_id:
209104-5
detail.hit.zdb_id:
1461794-8
SSG:
11
SSG:
12
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