title: Circulating miR-31 as an effective biomarker for detection and prognosis of human cancer: a meta-analysis.
abstract: OBJECTIVE
  Circulating miR-31 was found to be associated with cancers detection and prognosis. The present meta-analysis aimed to explore the effect of circulating miR-31 on cancer detection and prognosis.
  
  
  METHODS
  The studies were accessed using multiple databases. RevMan5.3, Meta-DiSc 1.4, and STATA14.0 were used to estimate the pooled effects, heterogeneity among studies, and publication bias.
  
  
  RESULTS
  A total of 14 studies with 1397 cancer patients and 1039 controls were included. For the 12 prognostic tests, the adjusted pooled-AUC was 0.79 (95% CI: 0.73-0.86) as the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odd ratio (DOR) from 10 tests was 0.79 (95% CI: 0.76-0.82), 0.79 (95% CI: 0.76-0.82), 3.81 (95% CI: 2.90-5.01), 0.26 (95% CI: 0.20-0.35), and 16.81 (95% CI: 9.67-29.25), respectively. For the 5 prognosis analyses, the pooled HR (hazard ratio) of overall survival (OS) was 1.55 (95% CI 1.30-1.86) for high versus low circulating miR-31 expression. However, high expression of circulating miR-31 did not significantly increase the risk of poor differentiation (pooled OR=1.39, 95% CI: 0.56-3.47) and LNM (pooled OR=3.46, 95% CI: 0.96-12.42) in lung cancer.
  
  
  CONCLUSIONS
  Circulating miR-31 is an effective biomarker and could be used as a component of miRs signature for cancer detection and prognosis surveillance.
authors.affiliation: Respiratory Medicine, Guangming District People's Hospital of Shenzhen, Shenzhen, P.R. China.
authors.forename: Yingjun
authors.initials: Y
authors.lastname: Ma
authors.affiliation: Pain Department, The Eight Affiliated Hospital, Sun Yat-sen University, ShenZhen, P.R. China.
authors.forename: Yunfang
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Medical oncology, Longgang District Central Hospital of Shenzhen, Shenzhen, P.R. China.
authors.forename: Jinbo
authors.initials: J
authors.lastname: Lin
authors.affiliation: Center for Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, P.R. China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, P.R. China.
authors.forename: Kai
authors.initials: K
authors.lastname: Luo
authors.affiliation: Center for Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, P.R. China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Cao
authors.affiliation: Center for Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, P.R. China.
authors.forename: Tieqiang
authors.initials: T
authors.lastname: Wang
authors.affiliation: Center for Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, P.R. China.
authors.forename: Hongwei
authors.initials: H
authors.lastname: Jin
authors.affiliation: Center for Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, P.R. China.
authors.forename: Zhan
authors.initials: Z
authors.lastname: Su
authors.affiliation: Center for Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, P.R. China.
authors.forename: Haolin
authors.initials: H
authors.lastname: Wu
authors.affiliation: Center for Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, P.R. China.
authors.forename: Xiaoliang
authors.initials: X
authors.lastname: Chen
authors.affiliation: Molecular Biology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen, P.R. China.
authors.forename: Jinquan
authors.initials: J
authors.lastname: Cheng
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D016208:Databases, Factual; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis*; D035683:MicroRNAs / Q000235:genetics*; D011379:Prognosis; D016016:Proportional Hazards Models
chemical_list: D014408:Biomarkers, Tumor; C534612:MIRN31 microRNA, human; D035683:MicroRNAs
keywords: carcinoma; detection; meta-analysis; miR-31; prognosis