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Nat Med. 2002 Aug;8(8):816-24. Epub 2002 Jul 15.

Gene-expression profiles predict survival of patients with lung adenocarcinoma.

Author information

1
Department of Surgery, University of Michigan, Ann Arbor, Michigan, USA. dgbeer@umich.edu

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 associated with survival. The identification of a set of genes that predict survival in early-stage lung adenocarcinoma allows delineation of a high-risk group that may benefit from adjuvant therapy.

PMID:
12118244
DOI:
10.1038/nm733
[Indexed for MEDLINE]

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