Consensus of gene expression phenotypes and prognostic risk predictors in primary lung adenocarcinoma.

ABSTRACT: Transcriptional profiling of lung adenocarcinomas has identified numerous gene expression phenotype (GEP) and risk prediction (RP) signatures associated with patient outcome. However, classification agreement between signatures, underlying transcriptional programs, and independent signature validation are less studied. We classified 2395 transcriptional adenocarcinoma profiles, assembled from 17 public cohorts, using 11 GEP and seven RP signatures, finding that 16 signatures were associated with patient survival in the total cohort and in multiple individual cohorts. For significant signatures, total cohort hazard ratios were ~2 in univariate analyses (mean=1.95, range=1.4-2.6). Strong classification agreement between signatures was observed, especially for predicted low-risk patients by a

SUBMITTER: Ringner M 

PROVIDER: S-EPMC5288161 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature