Literature DB >> 22633264

New candidate genes to predict pregnancy outcome in single embryo transfer cycles when using cumulus cell gene expression.

Sandra Wathlet1, Tom Adriaenssens, Ingrid Segers, Greta Verheyen, Ronny Janssens, Wim Coucke, Paul Devroey, Johan Smitz.   

Abstract

OBJECTIVE: To relate the gene expression in cumulus cells surrounding an oocyte to the potential of the oocyte, as evaluated by the embryo morphology (days 3 and 5) and pregnancy obtained in single-embryo transfer cycles.
DESIGN: Retrospective analysis of individual human cumulus complexes using quantitative real-time polymerase chain reaction for 11 genes.
SETTING: University hospital IVF center. PATIENT(S): Thirty-three intracytoplasmic sperm injection patients, of which 16 were pregnant (4 biochemical and 12 live birth). INTERVENTION(S): Gene expression analysis in human cumulus complexes collected individually at pickup, allowing a correlation with the outcome of the corresponding oocyte. Multiparametric models were built for embryo morphology parameters and pregnancy prediction to find the most predictive genes. MAIN OUTCOME MEASURE(S): Gene expression profile of 99 cumulus complexes for 11 genes. RESULT(S): For embryo morphology prediction, TRPM7, ITPKA, STC2, CYP11A1, and HSD3B1 were often retained as informative. Models for pregnancy-biochemical or live birth-complemented or not with patient and cycle characteristics, always retained EFNB2 and CAMK1D together with STC1 or STC2. Positive and negative predictive values of the live birth models were >85%. CONCLUSION(S): EFNB2 and CAMK1D are promising genes that could help to choose the embryo to transfer with the highest chance of a pregnancy.
Copyright © 2012 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22633264     DOI: 10.1016/j.fertnstert.2012.05.007

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  21 in total

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3.  An integrated investigation of oocyte developmental competence: expression of key genes in human cumulus cells, morphokinetics of early divisions, blastulation, and euploidy.

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4.  Morphokinetic analysis of cleavage stage embryos and assessment of specific gene expression in cumulus cells independently predict human embryo development to expanded blastocyst: a preliminary study.

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6.  Bioinformatic Analysis of Human Cumulus Cells to Unravel Cellular's Processes that Could Be Used to Establish Oocyte Quality Biomarkers with Clinical Application.

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Review 7.  Cumulus and granulosa cell markers of oocyte and embryo quality.

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9.  Pregnancy prediction in single embryo transfer cycles after ICSI using QPCR: validation in oocytes from the same cohort.

Authors:  Sandra Wathlet; Tom Adriaenssens; Ingrid Segers; Greta Verheyen; Lisbet Van Landuyt; Wim Coucke; Paul Devroey; Johan Smitz
Journal:  PLoS One       Date:  2013-04-03       Impact factor: 3.240

10.  Cell-free DNA in Human Follicular Microenvironment: New Prognostic Biomarker to Predict in vitro Fertilization Outcomes.

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