Ching Hung Chen1, Farn Lu2, Wen Jui Yang2, Pok Eric Yang3, Wei Ming Chen3, Shih Ting Kang3, Yu Shan Huang3, Yi Chi Kao3, Chi Ting Feng3, Po Chang Chang3, Tiffany Wang3, Chi An Hsieh4, Yu Chun Lin4, Jack Yu Jen Huang5, Lily Hui-Ching Wang6. 1. Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu, Taiwan; Department of Obstetrics and Gynecology, Ton Yen General Hospital, Hsinchu, Taiwan; Taiwan IVF Group Center for Reproductive Medicine and Infertility, Hsinchu, Taiwan. 2. Department of Obstetrics and Gynecology, Ton Yen General Hospital, Hsinchu, Taiwan; Taiwan IVF Group Center for Reproductive Medicine and Infertility, Hsinchu, Taiwan. 3. Quark Biosciences, Inc., Hsinchu, Taiwan. 4. Taiwan IVF Group Center for Reproductive Medicine and Infertility, Hsinchu, Taiwan. 5. Department of Obstetrics and Gynecology, Ton Yen General Hospital, Hsinchu, Taiwan; Taiwan IVF Group Center for Reproductive Medicine and Infertility, Hsinchu, Taiwan; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Stanford University, Stanford, California. 6. Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu, Taiwan; Department of Medical Science, National Tsing Hua University, Hsinchu, Taiwan. Electronic address: lilywang@life.nthu.edu.tw.
Abstract
OBJECTIVE: To identify predictor microRNAs (miRNAs) from patients with repeated implantation failure (RIF). DESIGN: Systemic analysis of miRNA profiles from the endometrium of patients undergoing in vitro fertilization (IVF). SETTING: University research institute, private IVF center, and molecular testing laboratory. PATIENT(S): Twenty five infertile patients in the discovery cohort and 11 patients in the validation cohort. INTERVENTIONS(S): None. MAIN OUTCOME MEASURE(S): A signature set of miRNA associated with the risk of RIF. RESULT(S): We designed a reproductive disease-related PanelChip to access endometrium miRNA profiles in patients undergoing IVF. Three major miRNA signatures, including hsa-miR-20b-5p, hsa-miR-155-5p, and hsa-miR-718, were identified using infinite combination signature search algorithm analysis from 25 patients in the discovery cohort undergoing IVF. These miRNAs were used as biomarkers in the validation cohort of 11 patients. Finally, the 3-miRNA signature was capable of predicting patients with RIF with an accuracy >90%. CONCLUSION(S): Our findings indicated that specific endometrial miRNAs can be applied as diagnostic biomarkers to predict RIF. Such information will definitely help to increase the success rate of implantation practice.
OBJECTIVE: To identify predictor microRNAs (miRNAs) from patients with repeated implantation failure (RIF). DESIGN: Systemic analysis of miRNA profiles from the endometrium of patients undergoing in vitro fertilization (IVF). SETTING: University research institute, private IVF center, and molecular testing laboratory. PATIENT(S): Twenty five infertilepatients in the discovery cohort and 11 patients in the validation cohort. INTERVENTIONS(S): None. MAIN OUTCOME MEASURE(S): A signature set of miRNA associated with the risk of RIF. RESULT(S): We designed a reproductive disease-related PanelChip to access endometrium miRNA profiles in patients undergoing IVF. Three major miRNA signatures, including hsa-miR-20b-5p, hsa-miR-155-5p, and hsa-miR-718, were identified using infinite combination signature search algorithm analysis from 25 patients in the discovery cohort undergoing IVF. These miRNAs were used as biomarkers in the validation cohort of 11 patients. Finally, the 3-miRNA signature was capable of predicting patients with RIF with an accuracy >90%. CONCLUSION(S): Our findings indicated that specific endometrial miRNAs can be applied as diagnostic biomarkers to predict RIF. Such information will definitely help to increase the success rate of implantation practice.