title: Increased expression of microRNA-17 predicts poor prognosis in human glioma.
abstract: OBJECTIVE
  To investigate the clinical significance of microRNA-17 (miR-17) expression in human gliomas.
  
  
  METHODS
  Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was used to characterize the expression patterns of miR-17 in 108 glioma and 20 normal brain tissues. The associations of miR-17 expression with clinicopathological factors and prognosis of glioma patients were also statistically analyzed.
  
  
  RESULTS
  Compared with normal brain tissues, miR-17 expression was significantly higher in glioma tissues (P < 0.001). In addition, the increased expression of miR-17 in glioma was significantly associated with advanced pathological grade (P = 0.006) and low Karnofsky performance score (KPS, P = 0.01). Moreover, Kaplan-Meier survival and Cox regression analyses showed that miR-17 overexpression (P = 0.008) and advanced pathological grade (P = 0.02) were independent factors predicting poor prognosis for gliomas. Furthermore, subgroup analyses showed that miR-17 expression was significantly associated with poor overall survival in glioma patients with high pathological grades (for grade III~IV: P < 0.001).
  
  
  CONCLUSIONS
  Our data offer the convinced evidence that the increased expression of miR-17 may have potential value for predicting poor prognosis in glioma patients with high pathological grades, indicating that miR-17 may contribute to glioma progression and be a candidate therapeutic target for this disease.
authors.affiliation: Department of Neurosurgery, Second Hospital of Hebei Medical University, No. 215 Hepingxi Road, Hebei Province, Shijiazhuang City 050000, China.
authors.forename: Shengkui
authors.initials: S
authors.lastname: Lu
authors.forename: Shuai
authors.initials: S
authors.lastname: Wang
authors.forename: Shaomei
authors.initials: S
authors.lastname: Geng
authors.forename: Shucheng
authors.initials: S
authors.lastname: Ma
authors.forename: Zhaohui
authors.initials: Z
authors.lastname: Liang
authors.forename: Baohua
authors.initials: B
authors.lastname: Jiao
mesh_terms: D000368:Aged; D001932:Brain Neoplasms / Q000235:genetics* / Q000473:pathology; D015972:Gene Expression Regulation, Neoplastic; D005910:Glioma / Q000235:genetics* / Q000473:pathology; D006801:Humans; D053208:Kaplan-Meier Estimate; D035683:MicroRNAs / Q000235:genetics* / Q000378:metabolism; D008875:Middle Aged; D015999:Multivariate Analysis; D009361:Neoplasm Invasiveness; D011379:Prognosis; D015854:Up-Regulation / Q000235:genetics
chemical_list: C524941:MIRN17 microRNA, human; D035683:MicroRNAs