title: MicroRNA-15a down-regulation is associated with adverse prognosis in human glioma.
abstract: OBJECTIVE
  The aim of this study was to investigate whether miR-15a has prognostic relevance in human gliomas.
  
  
  METHODS
  The expression levels of miR-15a were analyzed in glioma surgical resection tissues by microarray and quantitative real-time PCR. Survival analysis by the Kaplan-Meier method was performed to assess prognostic significance.
  
  
  RESULTS
  Downregulation of miR-15a was detected in most primary gliomas, which was confirmed by qRT-PCR analysis. Additionally, the down-regulation of miR-15a was significantly associated with the WHO grade (P = 0.003), the low KPS (P = 0.027), time to recurrence (P = 0.044) and the poor OS (P = 0.046). Using Kaplan-Meier analysis, a comparison of survival curves of low versus high expresser of miR-15a revealed a highly significant difference in OS (P = 0.001) and DFS (P = 0.006), which suggested that low expression of miR-15a is associated with a worse prognosis. Multivariate analyses showed that miR-15a expression was independent risk factors predicting OS [Hazard ratio (HR), 7.52; 95 % confidence interval (CI), 2.63-21.47; P = 0.002] and DFS [HR, 11.56; 95 % CI, 5.17-25.96; P < 0.001] in glioma.
  
  
  CONCLUSIONS
  These findings indicated for the first time that the expression of miR-15a is significantly correlated with prognosis in glioma patients, suggesting that the miR-15a may serve as independent prognostic marker.
authors.affiliation: Department of Neurosurgery, The First People's Hospital of Jingmen, 67 Xiangshan Avenue, Dongbao District, Hubei, Jingmen, 448000, China, xietengjm@126.com.
authors.forename: T
authors.initials: T
authors.lastname: Xie
authors.forename: P
authors.initials: P
authors.lastname: Liu
authors.forename: L
authors.initials: L
authors.lastname: Chen
authors.forename: Z
authors.initials: Z
authors.lastname: Chen
authors.forename: Y
authors.initials: Y
authors.lastname: Luo
authors.forename: X
authors.initials: X
authors.lastname: Chen
authors.forename: Y
authors.initials: Y
authors.lastname: Feng
authors.forename: X
authors.initials: X
authors.lastname: Luo
mesh_terms: D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000235:genetics* / Q000378:metabolism; D001932:Brain Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000401:mortality; D015331:Cohort Studies; D015536:Down-Regulation; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D005910:Glioma / Q000235:genetics* / Q000378:metabolism / Q000401:mortality; D006801:Humans; D053208:Kaplan-Meier Estimate; D008297:Male; D035683:MicroRNAs / Q000235:genetics* / Q000378:metabolism; D008875:Middle Aged; D015999:Multivariate Analysis; D011379:Prognosis; D016016:Proportional Hazards Models; D040081:Protein Array Analysis; D060888:Real-Time Polymerase Chain Reaction; D016019:Survival Analysis
chemical_list: D014408:Biomarkers, Tumor; C505361:MIRN15 microRNA, human; D035683:MicroRNAs