title: An eight-miRNA signature as a potential biomarker for predicting survival in lung adenocarcinoma.
abstract: BACKGROUND
  Lung adenocarcinoma is a heterogernous disease that creates challenges for classification and management. The purpose of this study is to identify specific miRNA markers closely associated with the survival of LUAD patients from a large dataset of significantly altered miRNAs, and to assess the prognostic value of this miRNA expression profile for OS in patients with LUAD.
  
  
  METHODS
  We obtained miRNA expression profiles and corresponding clinical information for 372 LUAD patients from The Cancer Genome Atlas (TCGA), and identified the most significantly altered miRNAs between tumor and normal samples. Using survival analysis and supervised principal components method, we identified an eight-miRNA signature for the prediction of overall survival (OS) of LUAD patients. The relationship between OS and the identified miRNA signature was self-validated in the TCGA cohort (randomly classified into two subgroups: n = 186 for the training set and n = 186 for the testing set). Survival receiver operating characteristic (ROC) analysis was used to assess the performance of survival prediction. The biological relevance of putative miRNA targets was also analyzed using bioinformatics.
  
  
  RESULTS
  Sixteen of the 111 most significantly altered miRNAs were associated with OS across different clinical subclasses of the TCGA-derived LUAD cohort. A linear prognostic model of eight miRNAs (miR-31, miR-196b, miR-766, miR-519a-1, miR-375, miR-187, miR-331 and miR-101-1) was constructed and weighted by the importance scores from the supervised principal component method to divide patients into high- and low-risk groups. Patients assigned to the high-risk group exhibited poor OS compared with patients in the low-risk group (hazard ratio [HR] = 1.99, P <0.001). The eight-miRNA signature is an independent prognostic marker of OS of LUAD patients and demonstrates good performance for predicting 5-year OS (Area Under the respective ROC Curves [AUC] = 0.626, P = 0.003), especially for non-smokers (AUC = 0.686, P = 0.023).
  
  
  CONCLUSIONS
  We identified an eight-miRNA signature that is prognostic of LUAD. The miRNA signature, if validated in other prospective studies, may have important implications in clinical practice, in particular identifying a subgroup of patients with LUAD who are at high risk of mortality.
authors.forename: Xuelian
authors.initials: X
authors.lastname: Li
authors.forename: Yunrui
authors.initials: Y
authors.lastname: Shi
authors.forename: Zhihua
authors.initials: Z
authors.lastname: Yin
authors.forename: Xiaoxia
authors.initials: X
authors.lastname: Xue
authors.affiliation: Department of Epidemiology, School of Public Health, China Medical University, No,92 Beier Road, Heping District, Shenyang, 110001, Liaoning Province, PR China. bszhou@mail.cmu.edu.cn.
authors.forename: Baosen
authors.initials: B
authors.lastname: Zhou
mesh_terms: D000230:Adenocarcinoma / Q000235:genetics / Q000473:pathology*; D000368:Aged; D015415:Biomarkers / Q000378:metabolism*; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000235:genetics / Q000473:pathology*; D008297:Male; D035683:MicroRNAs / Q000235:genetics*; D008875:Middle Aged; D012372:ROC Curve
chemical_list: D015415:Biomarkers; D035683:MicroRNAs