Development and validation of a prognostic gene-expression signature for lung adenocarcinoma.

ABSTRACT: Although several prognostic signatures have been developed in lung cancer, their application in clinical practice has been limited because they have not been validated in multiple independent data sets. Moreover, the lack of common genes between the signatures makes it difficult to know what biological process may be reflected or measured by the signature. By using classical data exploration approach with gene expression data from patients with lung adenocarcinoma (n = 186), we uncovered two distinct subgroups of lung adenocarcinoma and identified prognostic 193-gene gene expression signature associated with two subgroups. The signature was validated in 4 independent lung adenocarcinoma cohorts, including 556 patients. In multivariate analysis, the signature was an independent predictor of

SUBMITTER: Park YY 

PROVIDER: S-EPMC3436895 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature