title: Identification of a novel gene set in human cumulus cells predictive of an oocyte's pregnancy potential.
abstract: OBJECTIVE
  To identify a gene expression signature in human cumulus cells (CCs) predictive of pregnancy outcome across multiple clinics, taking into account the clinic and patient variations inherent in IVF practice.
  
  
  METHODS
  Retrospective analysis of single human cumulus-oocyte complexes with the use of a combined microarray and quantitative reverse-transcription polymerase chain reaction (qRT-PCR) approach.
  
  
  METHODS
  Multiple private IVF clinics.
  
  
  METHODS
  Fifty-eight patients. Samples from 55 patients underwent qRT-PCR analysis, and samples from 27 patients resulted in live birth.
  
  
  METHODS
  Gene expression analysis for correlation with pregnancy outcome on individual human CCs collected immediately after oocyte retrieval. Pregnancy prediction analysis used leave-one-out cross-validation with weighted voting.
  
  
  METHODS
  Combinatorial expression of 12 genes in 101 samples from 58 patients.
  
  
  RESULTS
  We found a set of 12 genes predictive of pregnancy outcome based on their expression levels in CCs. This pregnancy prediction model had an accuracy of 78%, a sensitivity of 72%, a specificity of 84%, a positive predictive value of 81%, and a negative predictive value of 76%. Receiver operating characteristic analysis found an area under the curve of 0.763 ± 0.079, significantly greater than 0.5 (random chance prediction).
  
  
  CONCLUSIONS
  Gene expression analysis in human CCs should be considered in identifying oocytes with a high potential to lead to pregnancy in IVF-ET.
authors.affiliation: Gema Diagnostics, Ann Arbor, Michigan, USA.
authors.forename: Amy E
authors.initials: AE
authors.lastname: Iager
authors.forename: Arif M
authors.initials: AM
authors.lastname: Kocabas
authors.forename: Hasan H
authors.initials: HH
authors.lastname: Otu
authors.forename: Patricia
authors.initials: P
authors.lastname: Ruppel
authors.forename: Anna
authors.initials: A
authors.lastname: Langerveld
authors.forename: Patricia
authors.initials: P
authors.lastname: Schnarr
authors.forename: Mariluz
authors.initials: M
authors.lastname: Suarez
authors.forename: John C
authors.initials: JC
authors.lastname: Jarrett
authors.forename: Joe
authors.initials: J
authors.lastname: Conaghan
authors.forename: Guilherme J M
authors.initials: GJ
authors.lastname: Rosa
authors.forename: Emilio
authors.initials: E
authors.lastname: Fernández
authors.forename: Richard G
authors.initials: RG
authors.lastname: Rawlins
authors.forename: Jose B
authors.initials: JB
authors.lastname: Cibelli
authors.forename: Javier A
authors.initials: JA
authors.lastname: Crosby
mesh_terms: D000328:Adult; D054885:Cumulus Cells / Q000166:cytology / Q000502:physiology*; D010064:Embryo Implantation; D005260:Female; D005307:Fertilization in Vitro / Q000379:methods*; D020869:Gene Expression Profiling; D005819:Genetic Markers; D005820:Genetic Testing; D006801:Humans; D050498:Live Birth; D020411:Oligonucleotide Array Sequence Analysis; D009865:Oocytes / Q000166:cytology / Q000502:physiology*; D011247:Pregnancy; D011256:Pregnancy Outcome / Q000235:genetics*; D012189:Retrospective Studies; D020133:Reverse Transcriptase Polymerase Chain Reaction; D012680:Sensitivity and Specificity
chemical_list: D005819:Genetic Markers