Unknown,Transcriptomics,Genomics,Proteomics

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Natural cycle frozen embryo transfer is superior to artificial cycle in women with recurrent implantation failure: endometrial transcriptome study

ABSTRACT: Transcriptome profile of receptive phase endometrium among infertile women with recurrent implantation failure (RIF) in two different endometrial preparation protocols for FET was analyzed: natural cycle (NC-FET) vs. artificial cycle (AC-FET). Fifteen endometrial biopsy samples were obtained: women with unexplained RIF (n = 5) in natural cycles for FET (NC-FET), women with unexplained RIF undergoing artificial endometrial preparation (n = 5) for FET (AC-FET), and healthy women (n = 5) with proven fertility in natural cycles (NC-FC) (Control group). All endometrial biopsies were obtained during the mid-secretory phase, at the time of ‘window of implantation’.

ORGANISM(S): Homo sapiens

SUBMITTER: Karin Tamm-Rosenstein

PROVIDER: E-MTAB-3713 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Endometrial transcriptome analysis indicates superiority of natural over artificial cycles in recurrent implantation failure patients undergoing frozen embryo transfer.

Altmäe Signe S Tamm-Rosenstein Karin K Esteban Francisco J FJ Simm Jaak J Kolberg Liis L Peterson Hedi H Metsis Madis M Haldre Kai K Horcajadas José A JA Salumets Andres A Stavreus-Evers Anneli A

Reproductive biomedicine online 20160328 6

Little consensus has been reached on the best protocol for endometrial preparation for frozen embryo transfer (FET). It is not known how, and to what extent, hormone supplementation in artificial cycles influences endometrial preparation for embryo implantation at a molecular level, especially in patients who have experienced recurrent implantation failure. Transcriptome analysis of 15 endometrial biopsy samples at the time of embryo implantation was used to compare two different endometrial pre ...[more]

PMID: 27090967

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Project description:Global gene expression patterns associated with early stage endometrial cancer have been reported, but changes in molecular expression associated with tumor grade, depth of myometrial invasion, and non-endometrioid histology have not been previously elucidated. Our group hypothesized there are unique genetic events underlying early endometrial carcinogenesis. Ninety-two samples of pathologically reviewed stage I endometrial cancers (80 endometrioid and 12 serous) with a heterogeneous distribution of grade and depth of myometrial invasion (i.e. 9 IAG1, 14 IAG2, 7 IAG3, 14 IBG1, 12 IBG2, 13 IBG3, 7 ICG1, 10 ICG2, and 6 ICG3) were examined in relation to 12 samples of atrophic endometrium from postmenopausal women. Specimens were analyzed using oligonucleotide microarray analysis and a subset of the differentially expressed transcripts was validated using quantitative PCR. Comparison of early stage cancers with normal endometrium samples by the univariate t-test with 10,000 permutations identified 900 genes that were differentially regulated by at least 4-fold at a p value of <0.001. Unsupervised analysis revealed that when compared to normal endometrium, serous and endometrioid stage I cancers appeared to have similar expression patterns. However, when compared in the absence of normal controls, they were distinct. Differential expression analysis revealed a number of transcripts that were common as well as unique to both histologic types. This data uncovers previously unrecognized, novel pathways involved in early stage endometrial cancers and identifys targets for prevention strategies that are inclusive of both endometrioid and serous histologic subtypes. Ninety-one samples of pathologically reviewed stage I endometrial cancers (79 endometrioid and 12 serous) with a heterogeneous distribution of grade and depth of myometrial invasion (i.e. 9 IAG1, 14 IAG2, 7 IAG3, 14 IBG1, 12 IBG2, 13 IBG3, 7 ICG1, 10 ICG2, and 6 ICG3) were examined in relation to 12 samples of atrophic endometrium from postmenopausal women. Specimens were analyzed using oligonucleotide array analysis.

Dataset Information

Natural cycle frozen embryo transfer is superior to artificial cycle in women with recurrent implantation failure: endometrial transcriptome study

Publications

Endometrial transcriptome analysis indicates superiority of natural over artificial cycles in recurrent implantation failure patients undergoing frozen embryo transfer.

Similar Datasets

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