Identification of a novel gene set in human cumulus cells predictive of an oocyte's pregnancy potential
Amy E Iager, Arif M Kocabas, Hasan H Otu, Patricia Ruppel, Anna Langerveld, Patricia Schnarr, Mariluz Suarez, John C Jarrett, Joe Conaghan, Guilherme J M Rosa, Emilio Fernández, Richard G Rawlins, Jose B Cibelli, Javier A Crosby, Amy E Iager, Arif M Kocabas, Hasan H Otu, Patricia Ruppel, Anna Langerveld, Patricia Schnarr, Mariluz Suarez, John C Jarrett, Joe Conaghan, Guilherme J M Rosa, Emilio Fernández, Richard G Rawlins, Jose B Cibelli, Javier A Crosby
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.
Design: 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.
Setting: Multiple private IVF clinics.
Patient(s): Fifty-eight patients. Samples from 55 patients underwent qRT-PCR analysis, and samples from 27 patients resulted in live birth.
Intervention(s): 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.
Main outcome measure(s): Combinatorial expression of 12 genes in 101 samples from 58 patients.
Result(s): 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).
Conclusion(s): Gene expression analysis in human CCs should be considered in identifying oocytes with a high potential to lead to pregnancy in IVF-ET.
Copyright © 2013 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.
Source: PubMed