EMBRYO QUALITY PREDICTIVE MODELS BASED ON CUMULUS CELLS GENE EXPRESSION
Devjak R, Burnik Papler T, Verdenik I, Fon Tacer K, Vrtačnik Bokal E
*Corresponding Author: Rok Devjak, M.D., Ph.D., Division of Medical Oncology, Institute of Oncology, Zaloška 2, 1000 Ljubljana, Slovenia. Tel: +386-1-5879-282; Fax: +386-1-5879-303. E-mail: rdevjak@onko-i.si
page: 5

INTRODUCTION

Since the introduction of in vitro fertilization (IVF) in the clinical practice of infertility treatment, indicators of implantation potential of embryos have been researched. Despite significant improvements in assisted reproductive technology (ART), the success of IVF remains low. Although most of the oocytes retrieved after ovarian stimulation with gonadotropins in combination with gonadotro-pin-releasing hormone (GnRH) analogues are capable of fertilization, only half of them develop into embryos and even fewer implant [1]. Therefore, to increase pregnancy rate, more than one embryo is usually transferred, which can lead to multiple pregnancies and increased fetal and maternal morbidity and mortality [2]. Consequently, there is a need for identifying biomarkers that would serve as reliable indicators of high implantation potential of the embryos available for transfer [3]. The selection of embryos for transfer is currently based on the evaluation of subjective morphological criteria. These include evaluation of pronuclei in the zygote and early cleavage. On day 3 after oocyte retrieval, the embryo fragmentation, number and morphology of blastomeres, and the presence of multiple nuclei are evaluated; on day 5, blastocyst morphology is evaluated considering the Gardner and Schoolcraft system [4]. The presence of a mature (MII) and highquality oocyte plays an essential role in the development of a high-quality embryo [5]. This means that the selection of high-quality embryos begins at the time of oocyte selection. The oocyte selection for fertilization is currently also based on morphological evaluation of the polar body, meiotic spindle, zona pellucida and cytoplasm [6]. There is increasing evidence that morphological evaluation is not a reliable predictor of oocyte competence and embryo implantation potential [7]; that is why there is a need to discover new, noninvasive, objective and reliable indicators of oocyte and embryo quality. Having reliable biomarkers for oocyte and embryo selection could be of special importance in selective embryo transfer to avoid a twin pregnancy. Lately, the most intense research is being carried out on genome analysis of cumulus cells (CC) and granulosa cells (GC) in order to discover biomarkers that would be predictive of oocyte and embryo developmental potential [8-10]. It is well known that there is intense bidirectional communication between oocytes and their surrounding CC and GC through gap junctions and paracrine signaling during folliculogenesis [11]. This communication is crucial for the development of a mature, developmentally competent oocyte. Instead of being a passive recipient of nutrients and regulatory signals from its surrounding CC and GC, the oocyte plays an active role in the secretion of paracrine factors that maintain an appropriate micro environment for the acquisition of its developmental competence [12]. This leads to functional changes in CC and GC which are crucial for the development of a quality oocyte [13]. In clinical practice, this means that these cells can serve as an indirect marker of oocyte quality. In IVF procedures, these cells are separated from oocytes and then discarded. They are easily accessible and plentiful, which makes them a perfect material for gene expression analysis in order to identify reliable and objective biomarkers of oocyte quality and embryo development potential [11]. Cumulus cells have been the subject of many studies in order to test whether oocyte quality is related to the expression of some of the growth differentiation factor 9 (GDF9)-dependent genes (HAS2, PTGS2 in PTX3) [3,14, 15]. Furthermore, CC have been analyzed in terms of gene expression related to the quality of embryo development. van Montfoort et al. [9] proposed a set of the following genes: CCND2, CXCR4, GPX3, CTNND1, DHCR7, DVL3, HSPB1 and TRIM28 that have proven to be most variably expressed among the CC of the follicles with zygotes that underwent a rapid division, and the CC of those follicles the zygotes of which underwent a slow division [9]. Hamel et al. [16] proposed the following set of genes: FDX1, CYP19A1, CDC42, SERPINE2 and 3βHSD1 as those having the most variable expression among the GC from the follicles that resulted in pregnancy and those that did not. In our previous study [10], we identified CC expression of AMHR2, LIF, SERPINE2, VEGFC and FSHR to be associated with blastocyst formation. In that study, LIF did not pass correction for multiple hypothesis testing, but due to its previous implication for oocyte maturation [17], we included it in our further analyses of CC expression. In this study, we used these genes to construct an embryo quality outcome model according to CC gene expression from oocytes that resulted in either high or low quality embryos.



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