title: Whole blood-derived miRNA profiles as potential new tools for ovarian cancer screening.
abstract: BACKGROUND
  Screening is an unsolved problem for ovarian cancer (OvCA). As late detection is equivalent to poor prognosis, we analysed whether OvCA patients show diagnostically meaningful microRNA (miRNA) patterns in blood cells.
  
  
  METHODS
  Blood-borne whole miRNome profiles from 24 patients with OvCA and 15 age- and sex-matched healthy controls were biostatistically evaluated.
  
  
  RESULTS
  Student's t-test revealed 147 significantly deregulated miRNAs before and 4 after Benjamini-Hochberg adjustment. Although these included miRNAs already linked to OvCA (e.g., miR-16, miR-155), others had never before been connected to specific diseases. A bioinformatically calculated miRNA profile allowed for discrimination between blood samples of OvCA patients and healthy controls with an accuracy of >76%. When only cancers of the serous subtype were considered and compared with an extended control group (n=39), accuracy, specificity and sensitivity all increased to >85%.
  
  
  CONCLUSIONS
  Our proof-of-principle study strengthens the hypothesis that neoplastic diseases generate characteristic miRNA fingerprints in blood cells. Still, the obtained OvCA-associated miRNA pattern is not yet sensitive and specific enough to permit the monitoring of disease progression or even preventive screening. Microarray-based miRNA profiling from peripheral blood could thus be combined with other markers to improve the notoriously difficult but important screening for OvCA.
authors.affiliation: Department of Obstetrics and Gynaecology, University of Würzburg, School of Medicine, Josef-Schneider-Strasse 4, Würzburg 97080, Germany.
authors.forename: S F M
authors.initials: SF
authors.lastname: Häusler
authors.forename: A
authors.initials: A
authors.lastname: Keller
authors.forename: P A
authors.initials: PA
authors.lastname: Chandran
authors.forename: K
authors.initials: K
authors.lastname: Ziegler
authors.forename: K
authors.initials: K
authors.lastname: Zipp
authors.forename: S
authors.initials: S
authors.lastname: Heuer
authors.forename: M
authors.initials: M
authors.lastname: Krockenberger
authors.forename: J B
authors.initials: JB
authors.lastname: Engel
authors.forename: A
authors.initials: A
authors.lastname: Hönig
authors.forename: M
authors.initials: M
authors.lastname: Scheffler
authors.forename: J
authors.initials: J
authors.lastname: Dietl
authors.forename: J
authors.initials: J
authors.lastname: Wischhusen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000097:blood*; D016022:Case-Control Studies; D055088:Early Detection of Cancer; D005260:Female; D006801:Humans; D035683:MicroRNAs / Q000097:blood*; D046228:Microarray Analysis; D008875:Middle Aged; D010051:Ovarian Neoplasms / Q000097:blood*; D012680:Sensitivity and Specificity
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs