title: Serum microRNAs as diagnostic markers of endometriosis: a comprehensive array-based analysis.
abstract: OBJECTIVE
  To investigate serum microRNAs (miRNAs) in women with endometriosis.
  
  
  METHODS
  Case-control study.
  
  
  METHODS
  University hospital.
  
  
  METHODS
  Women with (n = 24) and without (n = 24) endometriosis.
  
  
  METHODS
  Serum samples were obtained from surgically diagnosed subjects.
  
  
  METHODS
  miRNA from women with without endometriosis were used for microarray profiling and confirmed by means of quantitative real-time polymerase chain reaction (qRT-PCR). Receiver operating characteristic (ROC) analysis was performed on differentially expressed miRNAs.
  
  
  RESULTS
  miR-3613-5p, miR-6755-3p were down-regulated and miR-125b-5p, miR-150-5p, miR-342-3p, miR-143-3p, miR-145-5p, miR-500a-3p, miR-451a, miR-18a-5p were up-regulated more than 10-fold in the microarray. These results were confirmed with the use of qRT-PCR. Among the differentially expressed miRNAs, miR-125b-5p expression levels had the highest area under the ROC curve (AUC). The maximum AUC score of 1.000 was achieved when combining miR-125b-5p, miR-451a, and miR-3613-5p with the use of a logistic regression model.
  
  
  CONCLUSIONS
  We identified several miRNAs in serum that distinguished subjects with endometriosis from those without. miR-125b-5p had the greatest potential as a single diagnostic biomarker. A combination of that miRNA with miR-451a and miR-3613-5p further improved diagnostic performance.
authors.affiliation: Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut.
authors.forename: Emine
authors.initials: E
authors.lastname: Cosar
authors.affiliation: Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut. Electronic address: ramana.mamillapalli@yale.edu.
authors.forename: Ramanaiah
authors.initials: R
authors.lastname: Mamillapalli
authors.affiliation: Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut.
authors.forename: Gulcin Sahin
authors.initials: GS
authors.lastname: Ersoy
authors.affiliation: Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut.
authors.forename: SihYun
authors.initials: S
authors.lastname: Cho
authors.affiliation: Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Seifer
authors.affiliation: Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut.
authors.forename: Hugh S
authors.initials: HS
authors.lastname: Taylor
mesh_terms: D000328:Adult; D019540:Area Under Curve; D016022:Case-Control Studies; D003237:Connecticut; D004715:Endometriosis / Q000097:blood* / Q000175:diagnosis / Q000235:genetics; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods*; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D006785:Hospitals, University; D006801:Humans; D016015:Logistic Models; D035683:MicroRNAs / Q000097:blood* / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis; D010641:Phenotype; D011237:Predictive Value of Tests; D012372:ROC Curve; D060888:Real-Time Polymerase Chain Reaction; D015203:Reproducibility of Results; D066106:Seoul
chemical_list: D005819:Genetic Markers; C531888:MIRN125 microRNA, human; C531201:MIRN451 microRNA, human; D035683:MicroRNAs
keywords: Endometriosis; biomarker; miRNA; microarray; serum