Use of a cytokine gene expression signature in lung adenocarcinoma and the surrounding tissue as a prognostic classifier.

Abstract

BACKGROUND A 17-cytokine gene expression signature in noncancerous hepatic tissue from patients with metastatic hepatocellular carcinoma (HCC) was recently found to predict HCC metastasis and recurrence. We examined whether the cytokine gene expression profile of noncancerous lung tissue could predict the metastatic capability of adjacent lung adenocarcinoma. METHODS We analyzed a 15-cytokine gene expression profile in noncancerous lung tissue and corresponding lung tumor tissue from 80 US lung adenocarcinoma patients using real-time quantitative reverse transcription-polymerase chain reaction. We then used unsupervised hierarchical clustering and Prediction Analysis of Microarray classification to test the prognostic ability of the 15-cytokine gene profile in the US patients and in an independent validation set comprising 50 Japanese patients with stage I disease. Survival was analyzed by the Kaplan-Meier method using the log-rank test, and univariate and multivariable Cox proportional hazards modeling were used to analyze the association of clinical variables with patient survival. All statistical tests were two-sided. RESULTS A 15-cytokine gene signature in noncancerous lung tissue primarily reflected the lymph node status of 80 lung adenocarcinoma patients, whereas the gene signature of the corresponding lung tumor tissue was associated with prognosis independent of lymph node status. Cytokine Lung Adenocarcinoma Survival Signature of 11 genes (CLASS-11), a refined 11-gene signature, accurately classified patients, including those with stage I disease, according to risk of death from adenocarcinoma. CLASS-11 prognostic classification was statistically significantly associated with survival and was an independent prognostic factor for stage I patients (hazard ratio for death in the high-risk CLASS-11 group compared with the low-risk CLASS-11 reference group = 7.46, 95% confidence interval = 2.14 to 26.05; P = .002). CLASS-11 also classified patients in the validation set according to risk of recurrence. CONCLUSION CLASS-11, which consists of genes for pro- and anti-inflammatory cytokines, identifies stage I lung adenocarcinoma patients who have a poor prognosis.

01020302008200920102011201220132014201520162017
Citations per Year

122 Citations

Semantic Scholar estimates that this publication has 122 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Seike2007UseOA, title={Use of a cytokine gene expression signature in lung adenocarcinoma and the surrounding tissue as a prognostic classifier.}, author={Masahiro Seike and Nozomu Yanaihara and Elise D. Bowman and Krista A. Zanetti and Anuradha S. Budhu and Kensuke Kumamoto and Leah E. Mechanic and Shingo Matsumoto and Jun Yokota and Tatsuhiro Shibata and Haruhiko Sugimura and Akihiko Gemma and Shoji Kudoh and Xin Wei Wang and Curtis C. Harris}, journal={Journal of the National Cancer Institute}, year={2007}, volume={99 16}, pages={1257-69} }