Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses

Citation
A. Bhattacharjee et al., Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses, P NAS US, 98(24), 2001, pp. 13790-13795
Citations number
34
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Multidisciplinary
Journal title
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN journal
0027-8424 → ACNP
Volume
98
Issue
24
Year of publication
2001
Pages
13790 - 13795
Database
ISI
SICI code
0027-8424(20011120)98:24<13790:COHLCB>2.0.ZU;2-1
Abstract
We have generated a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, we analyzed mRNA expression levels corresponding to 12,600 tra nscript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expres sion data defined distinct subclasses of lung adenocarcinoma. Among these w ere tumors with high relative expression of neuroendocrine genes and of typ e II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene express ion. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of ext ra-pulmonary origin. These results suggest that integration of expression p rofile data with clinical parameters could aid in diagnosis of lung cancer patients.