Please note that we have stopped the regular imports of Gene Expression Omnibus (GEO) data into ArrayExpress. This may not be the latest version of this experiment.
E-GEOD-6253 - Transcription profiling of human stage non-small cell lung cancer samples, metaanalysis for a predictive signature
Released on 14 June 2008, last updated on 27 March 2012
We applied a meta-analysis of datasets from seven different microarray studies on lung cancer for differentially expressed genes related to survival time (under 2 y and over 5 y). Systematic bias adjustment in the datasets was performed by distance-weighted discrimination (DWD). We identified a gene expression signature consisting of 64 genes that is highly predictive of which stage I lung cancer patients may benefit from more aggressive therapy. Experiment Overall Design: RNA was extracted from frozen tissue of primary stage I Non-Small Cell lung tumors for gene array analysis
transcription profiling by array, unknown experiment type
A gene expression signature predicts survival of patients with stage I non-small cell lung cancer. Yan Lu, William Lemon, Peng-Yuan Liu, Yijun Yi, Carl Morrison, Ping Yang, Zhifu Sun, Janos Szoke, William L Gerald, Mark Watson, Ramaswamy Govindan, Ming You.