Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

CaArray_meyer-00191: Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses


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 adenocarcinom

ORGANISM(S): Homo sapiens

DISEASE(S): Lung Cancer

SUBMITTER: Mervi Heiskanen 

PROVIDER: E-GEOD-83227 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress