CaArray_beer-00153: Gene-expression profiles predict survival of patients with lung adenocarcinoma

ABSTRACT: Histopathology is insufficient to predict disease progression and clinical outcome in lung adenocarcinoma. Here we show that gene-expression profiles based on microarray analysis can be used to predict patient survival in early-stage lung adenocarcinomas. Genes most related to survival were identified with univariate Cox analysis. Using either two equivalent but independent training and testing sets, or 'leave-one-out' cross-validation analysis with all tumors, a risk index based on the top 50 genes identified low-risk and high-risk stage I lung adenocarcinomas, which differed significantly with respect to survival. This risk index was then validated using an independent sample of lung adenocarcinomas that predicted high- and low-risk groups. This index included genes not previously associ

ORGANISM(S): Homo sapiens

SUBMITTER: Mervi Heiskanen 

PROVIDER: E-GEOD-68571 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress