Ontology highlight
ABSTRACT: Purpose
To identify stage I lung adenocarcinoma patients with a poor prognosis who will benefit from adjuvant therapy.Patients and methods
Whole gene expression profiles were obtained at 19 time points over a 48-hour time course from human primary lung epithelial cells that were stimulated with epidermal growth factor (EGF) in the presence or absence of a clinically used EGF receptor tyrosine kinase (RTK)-specific inhibitor, gefitinib. The data were subjected to a mathematical simulation using the State Space Model (SSM). "Gefitinib-sensitive" genes, the expressional dynamics of which were altered by addition of gefitinib, were identified. A risk scoring model was constructed to classify high- or low-risk patients based on expression signatures of 139 gefitinib-sensitive genes in lung cancer using a training data set of 253 lung adenocarcinomas of North American cohort. The predictive ability of the risk scoring model was examined in independent cohorts of surgical specimens of lung cancer.Results
The risk scoring model enabled the identification of high-risk stage IA and IB cases in another North American cohort for overall survival (OS) with a hazard ratio (HR) of 7.16 (P = 0.029) and 3.26 (P = 0.0072), respectively. It also enabled the identification of high-risk stage I cases without bronchioalveolar carcinoma (BAC) histology in a Japanese cohort for OS and recurrence-free survival (RFS) with HRs of 8.79 (P = 0.001) and 3.72 (P = 0.0049), respectively.Conclusion
The set of 139 gefitinib-sensitive genes includes many genes known to be involved in biological aspects of cancer phenotypes, but not known to be involved in EGF signaling. The present result strongly re-emphasizes that EGF signaling status in cancer cells underlies an aggressive phenotype of cancer cells, which is useful for the selection of early-stage lung adenocarcinoma patients with a poor prognosis.Trial registration
The Gene Expression Omnibus (GEO) GSE31210.
SUBMITTER: Yamauchi M
PROVIDER: S-EPMC3446964 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
Yamauchi Mai M Yamaguchi Rui R Nakata Asuka A Kohno Takashi T Nagasaki Masao M Shimamura Teppei T Imoto Seiya S Saito Ayumu A Ueno Kazuko K Hatanaka Yousuke Y Yoshida Ryo R Higuchi Tomoyuki T Nomura Masaharu M Beer David G DG Yokota Jun J Miyano Satoru S Gotoh Noriko N
PloS one 20120919 9
<h4>Purpose</h4>To identify stage I lung adenocarcinoma patients with a poor prognosis who will benefit from adjuvant therapy.<h4>Patients and methods</h4>Whole gene expression profiles were obtained at 19 time points over a 48-hour time course from human primary lung epithelial cells that were stimulated with epidermal growth factor (EGF) in the presence or absence of a clinically used EGF receptor tyrosine kinase (RTK)-specific inhibitor, gefitinib. The data were subjected to a mathematical si ...[more]