title: A potential signature of eight long non-coding RNAs predicts survival in patients with non-small cell lung cancer.
abstract: BACKGROUND
  Accumulated evidence suggests that dysregulated expression of long non-coding RNAs (lncRNAs) may play a critical role in tumorigenesis and prognosis of cancer, indicating the potential utility of lncRNAs as cancer prognostic or diagnostic markers. However, the power of lncRNA signatures in predicting the survival of patients with non-small cell lung cancer (NSCLC) has not yet been investigated.
  
  
  METHODS
  We performed an array-based transcriptional analysis of lncRNAs in large patient cohorts with NSCLC by repurposing microarray probes from the gene expression omnibus database. A risk score model was constructed based on the expression data of these eight lncRNAs in the training dataset of NSCLC patients and was subsequently validated in other two independent NSCLC datasets. The biological implications of prognostic lncRNAs were also analyzed using the functional enrichment analysis.
  
  
  RESULTS
  An expression pattern of eight lncRNAs was found to be significantly associated with overall survival (OS) of NSCLC patients in the training dataset. With the eight-lncRNA signature, patients of the training dataset could be classified into high- and low-risk groups with significantly different OS (median survival 1.67 vs. 6.06 years, log-rank test p = 4.33E-09). The prognostic power of eight-lncRNA signature was further validated in other two non-overlapping independent NSCLC cohorts, demonstrating good reproducibility and robustness of this eight-lncRNA signature in predicting OS of NSCLC patients. Multivariate regression and stratified analysis suggested that the prognostic power of the eight-lncRNA signature was independent of clinical and pathological factors. Functional enrichment analyses revealed potential functional roles of the eight prognostic lncRNAs in tumorigenesis.
  
  
  CONCLUSIONS
  These findings indicate that the eight-lncRNA signature may be an effective independent prognostic molecular biomarker in the prediction of NSCLC patient survival.
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. biofomeng@hotmail.com.|School of Life Sciences, Jilin University, Changchun, 130012, People's Republic of China. biofomeng@hotmail.com.
authors.forename: Meng
authors.initials: M
authors.lastname: Zhou
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. maoniguo@126.com.
authors.forename: Maoni
authors.initials: M
authors.lastname: Guo
authors.affiliation: Department of Interventional Radiology, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, Heilongjiang, 150040, People's Republic of China. dongfengh@yeah.net.
authors.forename: Dongfeng
authors.initials: D
authors.lastname: He
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. wangxjhrb@126.com.
authors.forename: Xiaojun
authors.initials: X
authors.lastname: Wang
authors.affiliation: School of Life Sciences, Jilin University, Changchun, 130012, People's Republic of China. yinqiucui@126.com.
authors.forename: Yinqiu
authors.initials: Y
authors.lastname: Cui
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. yanghaixiu@ems.hrbmu.edu.cn.
authors.forename: Haixiu
authors.initials: H
authors.lastname: Yang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. haodapeng@ems.hrbmu.edu.cn.
authors.forename: Dapeng
authors.initials: D
authors.lastname: Hao
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. suncarajie@hotmail.com.
authors.forename: Jie
authors.initials: J
authors.lastname: Sun
mesh_terms: D000368:Aged; D002289:Carcinoma, Non-Small-Cell Lung / Q000235:genetics*; D015331:Cohort Studies; D030541:Databases, Genetic; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008175:Lung Neoplasms / Q000235:genetics*; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016366:Open Reading Frames / Q000235:genetics; D011379:Prognosis; D016016:Proportional Hazards Models; D062085:RNA, Long Noncoding / Q000235:genetics*; D012372:ROC Curve; D015203:Reproducibility of Results; D012307:Risk Factors; D016019:Survival Analysis
chemical_list: D062085:RNA, Long Noncoding