Association between estrogen receptor 1 (ESR1) and leukemia inhibitory factor (LIF) polymorphisms can help in the prediction of recurrent implantation failure
In a cohort study, we found that the association between ESR1 (rs12199722) and LIF (rs929271) polymorphisms can help in the prediction of recurrent implantation failure in patients submitted to IVF/ICSI cycles.
Volume 111, Issue 3, Pages 527–534
Laura Diniz Vagnini, B.Sc., Adriana Renzi, Ph.D., Bruna Petersen, B.Sc., Maria do Carmo Tomitão Canas, B.Sc., Claudia Guilhermino Petersen, Ph.D., Ana Lucia Mauri, B.Sc., Mariana Coltri Mattila, B.Sc., Juliana Ricci, R.N., Felipe Dieamant, M.D., João Batista Alcantara Oliveira, M.D., Ph.D., Ricardo Luiz Razera Baruffi, M.D., José Gonçalves Franco Jr., M.D., Ph.D.
To investigate an association between polymorphisms related to the implantation process that together could help in the prediction of recurrent implantation failure (RIF).
Private fertility center and reproductive genetics laboratory.
Forty-four women presenting RIF, who were included in study group (RIF group), and two control groups, one with 63 women who were attended at our service and became pregnant after the first IVF/intracytoplasmic sperm injection attempt (control group I) and other with 65 fertile women who had at least two children without any treatment and no history of miscarriage (control group II).
Main Outcome Measure(s)
Genotyping was performed in the intron region of TP63, VEGFA, MMP2, ESR1, and ESR2 genes and in the 3′ untranslated region of the LIF gene on genomic DNA using real-time polymerase chain reaction.
The presence of ESR1/AA (rs12199722) and LIF/GT (rs929271) genotypes was more frequent in the RIF group, leading to a 7.9-fold increase in the chance of women presenting with RIF when compared with women who became pregnant on their first cycle of IVF/intracytoplasmic sperm injection and a 2.8-fold increase when compared with women who became pregnant without treatment.
The association between ESR1 and LIF polymorphisms can help in the prediction of RIF.