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Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study.

Abstract：

:Although prognostic gene expression signatures for survival in early-stage lung cancer have been proposed, for clinical application, it is critical to establish their performance across different subject populations and in different laboratories. Here we report a large, training-testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas.

journal_name

Nat Med

journal_title

Nature medicine

authors

Director's Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma.,Shedden K,Taylor JM,Enkemann SA,Tsao MS,Yeatman TJ,Gerald WL,Eschrich S,Jurisica I,Giordano TJ,Misek DE,Chang AC,Zhu CQ,Strumpf D,Hanash

doi

10.1038/nm.1790

subject

Has Abstract

pub_date

2008-08-01 00:00:00

pages

822-7

issue

8

eissn

1078-8956

issn

1546-170X

pii

nm.1790

journal_volume

14

pub_type

杂志文章,多中心研究

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