ArticlePloS one2015
No specific gene expression signature in human granulosa and cumulus cells for prediction of oocyte fertilisation and embryo implantation.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02606500 (Efficacy of Corifollitropin Alfa in Obese Women in Terms of Clinical and Molecular Parameters of IVF Success), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Efficacy of Corifollitropin Alfa in Obese Women in Terms of Clinical and Molecular Parameters of IVF Success
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Biomarkers Assessing the Role of Cumulus Cells on IVF Outcomes: A Systematic Review.Journal of assisted reproduction and genetics · 2024Pooled it
- Cumulus cell antioxidant system is modulated by patients' clinical characteristics and correlates with embryo development.Journal of assisted reproduction and genetics · 2022Pooled it
- Article
- Current Status of Ovarian and Endometrial Biomarkers in Predicting ART Outcomes.Journal of clinical medicine · 2024Review
- Bioinformatic Analysis of Human Cumulus Cells to Unravel Cellular's Processes that Could Be Used to Establish Oocyte Quality Biomarkers with Clinical Application.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Article
- Evaluation of the expression profile of mRNAs and lncRNAs in cumulus cells associated with polycystic ovary syndrome and pregnancy.Iranian journal of basic medical sciences · 2023Article
- TGFß Gene Members and Their Regulatory Factors in Granulosa Compared to Cumulus Cells in PCOS: A Case-Control Study.Cell journal · 2022Article
- mtDNA content in cumulus cells does not predict development to blastocyst or implantation.Human reproduction open · 2022Article
- PCOS and Role of Cumulus Gene Expression in Assessing Oocytes Quality.Frontiers in endocrinology · 2022Review
- Is there any correlation between apoptotic genes expression in cumulus cells with embryo morphokinetics?Molecular biology reports · 2019Article
- [Impact of GOLPH3 expression in cumulus granulosa cells on outcomes of intracytoplasmic sperm injection].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2017Article
- Competence Classification of Cumulus and Granulosa Cell Transcriptome in Embryos Matched by Morphology and Female Age.PloS one · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In human IVF procedures objective and reliable biomarkers of oocyte and embryo quality are needed in order to increase the use of single embryo transfer (SET) and thus prevent multiple pregnancies. During folliculogenesis there is an intense bi-directional communication between oocyte and follicular cells. For this reason gene expression profile of follicular cells could be an important indicator and biomarker of oocyte and embryo quality. The objective of this study was to identify gene expression signature(s) in human granulosa (GC) and cumulus (CC) cells predictive of successful embryo implantation and oocyte fertilization. Forty-one patients were included in the study and individual GC and CC samples were collected; oocytes were cultivated separately, allowing a correlation with IVF outcome and elective SET was performed. Gene expression analysis was performed using microarrays, followed by a quantitative real-time PCR validation. After statistical analysis of microarray data, there were no significantly differentially expressed genes (FDR<0,05) between non-fertilized and fertilized oocytes and non-implanted and implanted embryos in either of the cell type. Furthermore, the results of quantitative real-time PCR were in consent with microarray data as there were no significant differences in gene expression of genes selected for validation. In conclusion, we did not find biomarkers for prediction of oocyte fertilization and embryo implantation in IVF procedures in the present study.
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