Cumulus cell gene expression predicts better cleavage-stage embryo or blastocyst development and pregnancy for ICSI patients.

BACKGROUND: Cumulus cell (CC) gene expression is suggested as a non-invasive analysis method to predict oocyte competence. There are, however, important between-patient differences in CC gene expression. These can be compensated when expression results are combined with patient and cycle characteristics using a multiple regression analysis model. METHODS: From ICSI patients stimulated with GnRH antagonist and recombinant FSH (n= 25) or GnRH agonist and highly purified menotrophin (n= 20), CC were collected and oocytes were individually fertilized and cultured. CC were analyzed for the expression of Syndecan 4 (SDC4), Prostaglandin-endoperoxide synthase 2 (PTGS2), Versican (VCAN), Activated leukocyte cell adhesion molecule, Gremlin 1, transient receptor potential cation channel, subfamily M, member 7 (TRPM7), Calmodulin 2 and Inositol 1,4,5-trisphosphate 3-kinase A (ITPKA) using quantitative PCR. Results were analyzed in relation to the stimulation protocol. Within-patient variation in gene expression was related to oocyte maturity and developmental potential. Models predictive for normal embryo or blastocyst development and pregnancy in single embryo transfer cycles were developed. RESULTS: Mature oocytes have higher PTGS2 and lower VCAN expression in their cumulus. All genes except VCAN had a positive correlation with good embryo or blastocyst morphology and were used to develop predictive models for embryo or blastocyst development (P< 0.01). Specific models were obtained for the two stimulation protocols. In both groups, better cleavage-stage embryo prediction relied on TRPM7 and ITPKA expression and pregnancy prediction relied on SDC4 and VCAN expression. In the current data set, the use of CC expression for pregnancy prediction resulted in a sensitivity of >70% and a specificity of >90%. CONCLUSIONS: Multivariable models based on CC gene expression can be used to predict embryo development and pregnancy.

Cumulus cell gene expression is associated with oocyte developmental quality and influenced by patient and treatment characteristics.

BACKGROUND: Gene expression of cumulus cells (CC) could predict oocyte developmental quality. Knowledge of the genes involved in determining oocyte quality is scanty. The aim was to correlate clinical and biological characteristics during ovarian stimulation with the expression of 10 selected genes in CC. METHODS: Sixty-three ICSI patients were stimulated with GnRH-agonist plus highly purified hMG (n = 35) or recombinant FSH (n = 28). Thirteen variables were analyzed: Age, BMI, duration of stimulation, serum concentrations of progesterone, 17beta-estradiol, FSH and LH on day of hCG, Ovarian Response, Oocyte Maturity, 2 pronuclei and three embryo morphology related variables: > or =7 cells, Low Fragmentation, Good Quality Embryos score. Expression of HAS2, VCAN, SDC4, ALCAM, GREM1, PTGS1, PTGS2, DUSP16, SPROUTY4 and RPS6KA2 was analyzed in pooled CC using quantitative PCR, and the relationship to the 13 variables was evaluated by multivariable analysis. RESULTS: All 10 genes are expressed at oocyte retrieval, with PTGS1, SPROUTY4, DUSP16 and RPS6KA2 described in human ovary for the first time. The three variables that correlated most often with differential expression were Age, BMI and serum FSH level. Significant correlation was found with Oocyte Maturity (VCAN, P < 0.005), Low Fragmentation (RPS6KA2, P < 0.05), Embryos with > or =7 cells (ALCAM and GREM1, P < 0.05). The expression of the other genes was also correlated to oocyte developmental quality but to a less extent. SDC4, VCAN, GREM1, SPROUTY4 and RPS6KA2 showed gonadotrophin preparation-dependent expression and/or interactions (all P < 0.05). CONCLUSION: The expression of ovulation related genes in CC is associated with patient and treatment characteristics, oocyte developmental potential and differs with the type of gonadotrophin used.