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Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
- Source :
- Proceedings of the National Academy of Sciences. 98:13790-13795
- Publication Year :
- 2001
- Publisher :
- Proceedings of the National Academy of Sciences, 2001.
-
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 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct subclasses of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.
- Subjects :
- Lung Neoplasms
Time Factors
Gene Expression
Adenocarcinoma
Biology
Bioinformatics
Gene expression
medicine
Carcinoma
Humans
RNA, Messenger
RNA, Neoplasm
Carcinoma, Small Cell
Neoplasm Metastasis
Lung cancer
Gene
Survival rate
Retrospective Studies
Multidisciplinary
Lung
Gene Expression Profiling
Smoking
Biological Sciences
medicine.disease
Survival Rate
Gene expression profiling
medicine.anatomical_structure
Carcinoma, Squamous Cell
Disease Progression
Cancer research
Subjects
Details
- ISSN :
- 10916490 and 00278424
- Volume :
- 98
- Database :
- OpenAIRE
- Journal :
- Proceedings of the National Academy of Sciences
- Accession number :
- edsair.doi.dedup.....abbb4eb6f07c5a72c36ba1f733b0fedd