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An endometrial gene expression signature accurately predicts recurrent implantation failure after IVF.


ABSTRACT: The primary limiting factor for effective IVF treatment is successful embryo implantation. Recurrent implantation failure (RIF) is a condition whereby couples fail to achieve pregnancy despite consecutive embryo transfers. Here we describe the collection of gene expression profiles from mid-luteal phase endometrial biopsies (n = 115) from women experiencing RIF and healthy controls. Using a signature discovery set (n = 81) we identify a signature containing 303 genes predictive of RIF. Independent validation in 34 samples shows that the gene signature predicts RIF with 100% positive predictive value (PPV). The strength of the RIF associated expression signature also stratifies RIF patients into distinct groups with different subsequent implantation success rates. Exploration of the expression changes suggests that RIF is primarily associated with reduced cellular proliferation. The gene signature will be of value in counselling and guiding further treatment of women who fail to conceive upon IVF and suggests new avenues for developing intervention.

SUBMITTER: Koot YE 

PROVIDER: S-EPMC4726345 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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An endometrial gene expression signature accurately predicts recurrent implantation failure after IVF.

Koot Yvonne E M YE   van Hooff Sander R SR   Boomsma Carolien M CM   van Leenen Dik D   Groot Koerkamp Marian J A MJ   Goddijn Mariëtte M   Eijkemans Marinus J C MJ   Fauser Bart C J M BC   Holstege Frank C P FC   Macklon Nick S NS  

Scientific reports 20160122


The primary limiting factor for effective IVF treatment is successful embryo implantation. Recurrent implantation failure (RIF) is a condition whereby couples fail to achieve pregnancy despite consecutive embryo transfers. Here we describe the collection of gene expression profiles from mid-luteal phase endometrial biopsies (n = 115) from women experiencing RIF and healthy controls. Using a signature discovery set (n = 81) we identify a signature containing 303 genes predictive of RIF. Independe  ...[more]

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