Defining human embryo phenotypes by cohort-specific prognostic factors.

Hundreds of thousands of human embryos are cultured yearly at in vitro fertilization (IVF) centers worldwide, yet the vast majority fail to develop in culture or following transfer to the uterus. However, human embryo phenotypes have not been formally defined, and current criteria for embryo transfe...

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Main Authors: Sunny H Jun, Bokyung Choi, Lora Shahine, Lynn M Westphal, Barry Behr, Renee A Reijo Pera, Wing H Wong, Mylene W M Yao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2008-07-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2432022?pdf=render
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spelling doaj-f4456e69cbe34715b5ecd52b794aca8e2020-11-25T02:13:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032008-07-0137e256210.1371/journal.pone.0002562Defining human embryo phenotypes by cohort-specific prognostic factors.Sunny H JunBokyung ChoiLora ShahineLynn M WestphalBarry BehrRenee A Reijo PeraWing H WongMylene W M YaoHundreds of thousands of human embryos are cultured yearly at in vitro fertilization (IVF) centers worldwide, yet the vast majority fail to develop in culture or following transfer to the uterus. However, human embryo phenotypes have not been formally defined, and current criteria for embryo transfer largely focus on characteristics of individual embryos. We hypothesized that embryo cohort-specific variables describing sibling embryos as a group may predict developmental competence as measured by IVF cycle outcomes and serve to define human embryo phenotypes.We retrieved data for all 1117 IVF cycles performed in 2005 at Stanford University Medical Center, and further analyzed clinical data from the 665 fresh IVF, non-donor cycles and their associated 4144 embryos. Thirty variables representing patient characteristics, clinical diagnoses, treatment protocol, and embryo parameters were analyzed in an unbiased manner by regression tree models, based on dichotomous pregnancy outcomes defined by positive serum beta-human chorionic gonadotropin (beta-hCG). IVF cycle outcomes were most accurately predicted at approximately 70% by four non-redundant, embryo cohort-specific variables that, remarkably, were more informative than any measures of individual, transferred embryos: Total number of embryos, number of 8-cell embryos, rate (percentage) of cleavage arrest in the cohort and day 3 follicle stimulating hormone (FSH) level. While three of these variables captured the effects of other significant variables, only the rate of cleavage arrest was independent of any known variables.Our findings support defining human embryo phenotypes by non-redundant, prognostic variables that are specific to sibling embryos in a cohort.http://europepmc.org/articles/PMC2432022?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Sunny H Jun
Bokyung Choi
Lora Shahine
Lynn M Westphal
Barry Behr
Renee A Reijo Pera
Wing H Wong
Mylene W M Yao
spellingShingle Sunny H Jun
Bokyung Choi
Lora Shahine
Lynn M Westphal
Barry Behr
Renee A Reijo Pera
Wing H Wong
Mylene W M Yao
Defining human embryo phenotypes by cohort-specific prognostic factors.
PLoS ONE
author_facet Sunny H Jun
Bokyung Choi
Lora Shahine
Lynn M Westphal
Barry Behr
Renee A Reijo Pera
Wing H Wong
Mylene W M Yao
author_sort Sunny H Jun
title Defining human embryo phenotypes by cohort-specific prognostic factors.
title_short Defining human embryo phenotypes by cohort-specific prognostic factors.
title_full Defining human embryo phenotypes by cohort-specific prognostic factors.
title_fullStr Defining human embryo phenotypes by cohort-specific prognostic factors.
title_full_unstemmed Defining human embryo phenotypes by cohort-specific prognostic factors.
title_sort defining human embryo phenotypes by cohort-specific prognostic factors.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2008-07-01
description Hundreds of thousands of human embryos are cultured yearly at in vitro fertilization (IVF) centers worldwide, yet the vast majority fail to develop in culture or following transfer to the uterus. However, human embryo phenotypes have not been formally defined, and current criteria for embryo transfer largely focus on characteristics of individual embryos. We hypothesized that embryo cohort-specific variables describing sibling embryos as a group may predict developmental competence as measured by IVF cycle outcomes and serve to define human embryo phenotypes.We retrieved data for all 1117 IVF cycles performed in 2005 at Stanford University Medical Center, and further analyzed clinical data from the 665 fresh IVF, non-donor cycles and their associated 4144 embryos. Thirty variables representing patient characteristics, clinical diagnoses, treatment protocol, and embryo parameters were analyzed in an unbiased manner by regression tree models, based on dichotomous pregnancy outcomes defined by positive serum beta-human chorionic gonadotropin (beta-hCG). IVF cycle outcomes were most accurately predicted at approximately 70% by four non-redundant, embryo cohort-specific variables that, remarkably, were more informative than any measures of individual, transferred embryos: Total number of embryos, number of 8-cell embryos, rate (percentage) of cleavage arrest in the cohort and day 3 follicle stimulating hormone (FSH) level. While three of these variables captured the effects of other significant variables, only the rate of cleavage arrest was independent of any known variables.Our findings support defining human embryo phenotypes by non-redundant, prognostic variables that are specific to sibling embryos in a cohort.
url http://europepmc.org/articles/PMC2432022?pdf=render
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