title: A genomic diagnostic tool for human endometrial receptivity based on the transcriptomic signature.
abstract: OBJECTIVE
  To create a genomic tool composed of a customized microarray and a bioinformatic predictor for endometrial dating and to detect pathologies of endometrial origin. To define the transcriptomic signature of human endometrial receptivity.
  
  
  METHODS
  Two cohorts of endometrial samples along the menstrual cycle were used: one to select the genes to be included in the customized microarray (endometrial receptivity array [ERA]), and the other to be analyzed by ERA to train the predictor for endometrial dating and to define the transcriptomic signature. A third cohort including pathological endometrial samples was used to train the predictor for pathological classification.
  
  
  METHODS
  Healthy oocyte donors and patients.
  
  
  METHODS
  Healthy fertile women (88) and women with implantation failure (5) or hydrosalpinx (2).
  
  
  METHODS
  Human endometrial biopsies.
  
  
  METHODS
  The gene expression of endometrial biopsies.
  
  
  RESULTS
  The ERA included 238 selected genes. The transcriptomic signature was defined by 134 genes. The predictor showed a specificity of 0.8857 and sensitivity of 0.99758 for endometrial dating, and a specificity of 0.1571 and a sensitivity of 0.995 for the pathological classification.
  
  
  CONCLUSIONS
  This diagnostic tool can be used clinically in reproductive medicine and gynecology. The transcriptomic signature is a potential endometrial receptivity biomarkers cluster.
authors.affiliation: Fundación IVI-Instituto Universitario IVI, University of Valencia, and Instituto de Investigación, Sanitaria del Hospital Clinico de Valencia, Valencia, Spain.
authors.forename: Patricia
authors.initials: P
authors.lastname: Díaz-Gimeno
authors.forename: José A
authors.initials: JA
authors.lastname: Horcajadas
authors.forename: José A
authors.initials: JA
authors.lastname: Martínez-Conejero
authors.forename: Francisco J
authors.initials: FJ
authors.lastname: Esteban
authors.forename: Pilar
authors.initials: P
authors.lastname: Alamá
authors.forename: Antonio
authors.initials: A
authors.lastname: Pellicer
authors.forename: Carlos
authors.initials: C
authors.lastname: Simón
mesh_terms: D016000:Cluster Analysis; D004717:Endometrium / Q000502:physiology*; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods* / Q000592:standards; D023281:Genomics / Q000379:methods* / Q000592:standards; D006801:Humans; D007247:Infertility, Female / Q000175:diagnosis / Q000235:genetics; D008597:Menstrual Cycle / Q000502:physiology; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D020133:Reverse Transcriptase Polymerase Chain Reaction / Q000592:standards; D012680:Sensitivity and Specificity; D014591:Uterine Diseases / Q000175:diagnosis* / Q000235:genetics*