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.
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.
Authors: C Scarica; D Cimadomo; L Dovere; A Giancani; M Stoppa; A Capalbo; F M Ubaldi; L Rienzi; R Canipari Journal: J Assist Reprod Genet Date: 2019-02-01 Impact factor: 3.412
Authors: Lucia von Mengden; Marco Antônio De Bastiani; Lucas Kich Grun; Florencia Barbé-Tuana; Tom Adriaenssens; Johan Smitz; Leticia Schmidt Arruda; Carlos Alberto Link; Fábio Klamt Journal: Reprod Sci Date: 2022-07-26 Impact factor: 2.924
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