Literature DB >> 29373974

Degree of mosaicism in trophectoderm does not predict pregnancy potential: a corrected analysis of pregnancy outcomes following transfer of mosaic embryos.

Vitaly A Kushnir1,2, Sarah K Darmon3, David H Barad3,4, Norbert Gleicher3,4,5,6.   

Abstract

BACKGROUND: Preimplantation genetic screening (PGS) is increasingly utilized as an adjunct procedure to IVF. Recently healthy euploid live birth were reported following transfer of mosaic embryos. Several recent publications have surmised that the degree of trophectoderm (TE) mosaicism in transferred embryos is predictive of ongoing pregnancy and miscarriage rates.
METHODS: This is a corrected analysis of previously published retrospective data on vitro fertilization (IVF) cycle outcomes involving replacement of 143 mosaic and 1045 euploid embryos tested by PGS, utilizing high-resolution next-generation sequencing (NGS) of TE and determination of percentages of mosaicism. Receiver operating curves (ROCs) and measurement of area under the curve (AUC) were used to evaluated the accuracy of the predictor variable, proportion of aneuploid cells in a TE biopsy specimen, with IVF outcomes, ongoing pregnancy and miscarriage rates.
RESULTS: Confirming findings of the previously published report we also found higher ongoing pregnancy rates (63.3% vs. 39.2%) and lower miscarriage rates (10.2% vs. 24.3%) with euploid embryo transfers than with mosaic embryo transfer. There, however, were no significant differences in ongoing pregnancy or miscarriage rates among mosaic embryo transfers at any threshold of aneuploidy. Based on AUC, TE biopsies predicted ongoing pregnancy for euploid, as well as mosaic embryos, in a range of 0.50 to 0.59 and miscarriage in a range from 0.50 to 0.66
CONCLUSIONS: Degree of TE mosaicism was a poor predictor of ongoing pregnancy and miscarriage.

Entities:  

Keywords:  Aneuploidy; Embryo selection; In vitro fertilization; Next-generation sequencing; Preimplantation genetic diagnosis; Preimplantation genetic screening

Mesh:

Year:  2018        PMID: 29373974      PMCID: PMC5787309          DOI: 10.1186/s12958-018-0322-5

Source DB:  PubMed          Journal:  Reprod Biol Endocrinol        ISSN: 1477-7827            Impact factor:   5.211


Background

Preimplantation genetic screening (PGS), now renamed by some as preimplantation genetic testing for aneuploidy (PGT-A), is increasingly utilized as ad-on to vitro fertilization (IVF). The original hypothesis behind PGS utilization was “aneuploidy screening as a means to increase pregnancy rates, decrease loss rates, and establish transfer order” [1]. Because of growing recognition that trophectoderm (TE) mosaicism is a common finding [2], the Preimplantation Genetic Diagnosis International Society (PGDIS) recently recommended a radical overhaul of testing methodologies and reporting of test results [3]. Since diagnostic platforms, like array comparative genome hybridization (aCGH), single-nucleotide polymorphism array, and quantitative polymerase chain reaction (qPCR) lack capacity to detect mosaicism in a single TE biopsy, next-generation sequencing (NGS), which currently detects mosaicism in excess of 20%, is the only technique recommended by PGDIS [3]. Utilizing NGS, embryos with less than 20% aneuploidy in the TE sample are, therefore, considered euploid; while those between 20 and 80% are reported as mosaic, and those over 80% as truly aneuploid. Moreover, PGDIS guidelines suggest that embryos designated as euploid can be freely transferred, while embryos designated as aneuploid should not be transferred and, therefore, discarded [3]. Finally, mosaic embryos, at 20–80% range aneuploidy in the TE sample, may be potentially transferred, though the PGDIS notes that such transfers be performed with caution and only in absence of euploid embryos. Moreover, the society suggested an empirical hierarchy for such transfers, based on the specific aneuploidies reported in embryos [3]. A group of investigators at the 2016 World Congress on Controversies in Preconception, Preimplantation, Prenatal Genetic Diagnosis Meeting in Barcelona reached similar conclusions, advising to prioritize transfer of mosaic embryos with lower levels (20–40%) of aneuploidy in the TE sample over those with higher levels (40–70%), and defining any embryo biopsy with more than 70% aneuploidy in its TE as aneuploid and, therefore, as not transferrable [4]. Both sets of guidelines, however, were lacking robust published clinical data in support, as are usually required for clinical diagnostic testing [5, 6]. This why a recent publication by a multi-center conglomerate of PGS reference laboratories and referring IVF centers, offering a first large data sets of clinical outcomes following transfer of mosaic blastocyst in accordance with PGDIS criteria and utilizing NGS [7], has to be viewed as a defining moment. Until these recent publications, only three groups have reported IVF cycle outcomes after transfers of mosaic embryos in a small number of cases [8-10]. Since the manuscripts by (Munné et al. 2017; Fragouli et al. 2017) did not use standard statistical methods to assess predictive values for different degrees of mosaicism detected in TE biopsies, we reanalyzed the raw data reported by the authors. As this study will demonstrate, our analysis contradicts the conclusions of Munné et al. that 40% mosaicism represents a significant differentiation point. Indeed, our analysis did not find significant predictability at any level of mosaicism between 20 and 80%.

Methods

A detailed description of patient factors and molecular methods is available in the original publications, which served as data sources for our study [7, 11]. The data for 143 NGS-tested mosaic embryos that were transferred, were extracted from Additional file 1: Table S3 in the publication by Munné et al. [7]. To assess whether the degree of mosaicism at different ages affected ongoing pregnancy rates, these data were stratified for female ages < 38 and ≥38 years. Data for the comparison group came from for female age well matched controls from the same publication, who had undergone transfers of 1045 euploid embryos, as determined by NGS with < 20% aneuploid cells in the TE sample [7]. This control group could not be age-stratified since only aggregate data (rather than embryo level data) were provided in the source publication. Receiver operating characteristic curves (ROCs) and measurements of area under the curve (AUC) were used to evaluated accuracy of the predictor variable, proportion of abnormal cells in a TE biopsy specimen (i.e., percentage mosaicism) with IVF outcomes, including ongoing pregnancy and miscarriage rates. The analysis was then performed for binary variables euploid (< 20% aneuploid cells) vs. mosaic embryos, and for various thresholds of aneuploidy, ranging from 20% to 80% in 10% increments, as detailed in Table 1 and Fig. 1.
Table 1

Predictive ability of NGS trophectoderm biopsy for ongoing pregnancy based on proportion of abnormal cells in the specimen

Euploid < 20% AbnormalMosaic ≥20% to ≤80% Abnormalp-valueAUC
Ongoing Pregnancy661/104563.3%56/14339.2%< 0.00010.55
Mosaic ≥20% to < 30% AbnormalMosaic ≥30% to ≤80% Abnormalp-valueAUC
AgeOngoing Pregnancy
< 3812/2744.4%22/6136.1%0.460.54
≥ 381/812.5%21/4645.7%0.080.59
All Ages13/3537.1%43/10839.9%0.780.51
Mosaic ≥20% to < 40% AbnormalMosaic ≥40% to ≤80% Abnormalp-valueAUC
AgeOngoing Pregnancy
< 3822/6136.1%12/2744.4%0.460.54
≥ 3810/2540.0%12/2941.4%0.920.51
All Ages32/8736.8%24/5642.9%0.470.53
Mosaic ≥20% to < 50% MosaicMosaic ≥50% to ≤80% Abnormalp-valueAUC
AgeOngoing Pregnancy
< 3830/7838.5%4/1040.0%0.930.50
≥ 3817/3844.7%5/1631.3%0.360.56
All Ages47/11740.2%9/2634.6%0.600.52
Mosaic ≥20% to < 60% AbnormalMosaic ≥60% to ≤80% Abnormalp-valueAUC
AgeOngoing Pregnancy
< 3834/8639.5%0/20.0%0.260.52
≥ 3818/4440.9%4/1040.0%0.960.50
All Ages52/13139.7%4/1233.3%0.670.51
Mosaic ≥20% to < 70% AbnormalMosaic ≥70% to ≤80% Abnormalp-valueAUC
AgeOngoing Pregnancy
< 3834/8739.1%0/10.0%0.420.51
≥ 3819/4641.3%3/837.5%0.840.51
All Ages53/13439.6%3/933.3%0.710.51

AUC: area under the curve

Fig. 1

Receiver operating characteristic (ROC) curves for ongoing pregnancy and miscarriage. a Analysis for binary classification euploid (< 20% aneuploid cells) vs. mosaic embryos (20% to 80% aneuploid cells) based on trophectoderm sample. b Various thresholds of aneuploidy within the cohort of mosaic embryos ranging from 20% to 80% in 10% increments. Predictor variable: proportion of abnormal cells in a trophectoderm biopsy specimen. Outcomes: ongoing pregnancy and miscarriage. Area under the curve (AUC) of 0.50 denotes the screening test as having no predictive ability while an AUC of 1.0 denotes an ideal screening test

Predictive ability of NGS trophectoderm biopsy for ongoing pregnancy based on proportion of abnormal cells in the specimen AUC: area under the curve Receiver operating characteristic (ROC) curves for ongoing pregnancy and miscarriage. a Analysis for binary classification euploid (< 20% aneuploid cells) vs. mosaic embryos (20% to 80% aneuploid cells) based on trophectoderm sample. b Various thresholds of aneuploidy within the cohort of mosaic embryos ranging from 20% to 80% in 10% increments. Predictor variable: proportion of abnormal cells in a trophectoderm biopsy specimen. Outcomes: ongoing pregnancy and miscarriage. Area under the curve (AUC) of 0.50 denotes the screening test as having no predictive ability while an AUC of 1.0 denotes an ideal screening test Comparisons between groups were made using chi-square tests. Statistical analyses were preformed using SAS version 9.4. A p-value < 0.05 was considered statistically significant. Since all here addressed data were already published, publicly available, and cannot be utilized to identify individual patients, this study qualified for exemption from IRB approval.

Results

Table 1 shows the ability of TE biopsies, utilizing NGS, to predict ongoing pregnancy based on proportion of abnormal cells in each biopsy specimen. Here we confirm the findings of Munné et al. [7] that ongoing pregnancy rates were, seemingly, significantly higher following euploid embryo transfer (i.e., biopsies with < 20% aneuploidy) than mosaic embryo transfer (biopsies with 20–80% aneuploidy). Our calculation yielded a slightly lower ongoing pregnancy rate in the mosaic group than Munné et al., who reported 57 ongoing and delivered pregnancies but presented embryo level data for only 56. Table 1 demonstrates no significant differences in ongoing pregnancy rates among mosaic transfers at any threshold of aneuploidy. Moreover, the table demonstrates the AUC for all comparisons ranges from 0.50 to 0.59, indicating poor predictive ability of TE biopsies for ongoing pregnancies. Table 2 shows the predictive ability of TE biopsies, utilizing NGS, to predict miscarriages based on proportion of abnormal cells in a single biopsy sample. Once again we confirm the findings of Munné et al. [7] that miscarriage rates were significantly lower following euploid embryo transfer than with mosaic embryo transfer. However, the table also demonstrates that the AUC is only 0.56, again indicting very poor predictive validity of a TE biopsy for miscarriages. Moreover, analysis of miscarriage risk among mosaic embryo transfers, did not find increased risk based on any threshold of aneuploidy.
Table 2

Predictive ability of NGS trophectoderm biopsy for miscarriage based on proportion of abnormal cells in the specimen

Euploid < 20% AbnormalMosaic ≥20% to ≤80% Abnormalp-valueAUC
Miscarriage75/73610.2%18/7424.3%0.00030.56
Mosaic ≥20% to < 30% AbnormalMosaic ≥30% to ≤80% Abnormalp-valueAUC
AgeMiscarriage
< 385/1729.4%9/3129.0%0.690.50
≥ 380/10.0%4/2516.0%0.660.52
All Ages5/1827.8%13/5623.2%0.690.52
Mosaic ≥20% to < 40% AbnormalMosaic ≥40% to ≤80% Abnormalp-valueAUC
Miscarriage
< 3811/3333.3%3/1520.0%0.350.57
≥ 382/1216.7%2/1414.3%0.870.52
All Ages13/4528.9%5/2917.2%0.250.58
Mosaic ≥20% to < 50% MosaicMosaic ≥50% to ≤80% Abnormalp-valueAUC
AgeMiscarriage
< 3813/4330.2%1/520.0%0.630.52
≥ 382/1910.5%2/728.6%0.260.64
All Ages15/6224.2%3/1225.0%0.950.50
Mosaic ≥20% to < 60% AbnormalMosaic ≥60% to ≤80% Abnormalp-valueAUC
AgeMiscarriage
< 3814/4829.2%0/00.0%
≥ 382/2010.0%2/633.3%0.160.66
All Ages16/6823.5%2/633.3%0.590.59
Mosaic ≥20% to < 70% AbnormalMosaic ≥70% to ≤80% Abnormalp-valueAUC
AgeMiscarriage
< 3814/4829.2%0/00.0%
≥ 383/2213.6%1/425.0%0.560.56
All Ages17/7024.3%1/425.0%0.970.50

AUC: area under the curve

Predictive ability of NGS trophectoderm biopsy for miscarriage based on proportion of abnormal cells in the specimen AUC: area under the curve Figure 1a demonstrates ROC curves for ongoing pregnancies and miscarriages based on binary classification of embryos as either euploid or mosaic. Figure 1b shows ROC curves for ongoing pregnancies and miscarriages based on various thresholds of aneuploidy (in 10% increments, ranging from 20% to 80%) within the group of mosaic embryos. Both figures show a null line for reference with an AUC of 0.50 which denotes when a screening test has no predictive ability.

Discussion

Our analysis confirms the previously published report which found statistically higher ongoing pregnancy rates (63.3% vs. 39.2%) and lower miscarriage rates (10.2% vs. 24.3%) with euploid embryo transfers than with mosaic embryo transfer. These findings are also consistent with a recent report by Spinella et al. [12]. However, our analysis demonstrates with ROC curves that PGS, at any threshold level of mosaicism, up to 80% aneuploidy in a single TE biopsy as determined by NGS, has poor predictive value as a screening test for an individual embryo’s ability to establish ongoing pregnancy or lead to miscarriage. Moreover, given the observed ongoing pregnancy and miscarriage rates it appears likely that in many cases aneuploidy within the TE of embryos represents a physiologic variant rather than a pathological condition. This conclusion is supported by a recent in depth literature review: “Mosaicism in Preimplantation Human Embryos: When Chromosomal Abnormalities Are the Norm” [13]. Commonly utilized screening tests in reproductive medicine, such as mammograms and PAP smears for cancer screening [14], while themselves not ideal screening tests, still demonstrate far more robust clinical performance than here presented PGS data. This study reinforces previously raised concerns about the biological premise and clinical effectiveness of PGS [15-18]. It is our view that to ensure optimal outcomes for patients the reproductive medicine community should hold commercial PGS tests to the same standards as other screening tests commonly utilized in the field. Therefore, in our opinion commercial laboratories which market PGS tests should seek regulatory approval for these tests [19]. Based on the original data set published by Munné et al. [7], our analysis may, indeed, actually still overestimate the benefits of PGS in this patient population. In the original data set, the authors indicated that 133 out of 143 mosaic embryo transfers were single embryo transfers, while 10 were double embryo transfers (such data were not provided for the control group of patients undergoing euploid embryo transfer). A higher proportion of double embryo transfers in the euploid embryo group, could, therefore, hypothetically explain the higher ongoing pregnancy rate and lower miscarriage rates observed in this group. It is also likely that patients who produce euploid embryos have better prognoses and/or less severe underlying infertility than those who only produce mosaic embryos. This point is consistent with several recent studies which have found a correlation between proportion of aneuploid blastocysts and diminished ovarian reserve while controlling for patient age [20-22]. Finally, the original dataset does not specify the number of treated patients nor the number of tested embryos per patient in either group. It reflects only patients who reached embryo transfer, thereby excluding poorer prognosis patients who started IVF with intention of PGS but did not have any transferrable embryos following extended embryo culture, TE biopsy, cryopreservation, and thawing. The patient selection is, therefore, biased toward better prognosis patients, as previously documented in national registry data in patients undergoing IVF with PGS [23]. Additional limitations include reporting of ongoing pregnancy rates rather than live birth rates and lack of data on the health of infants conceived from mosaic embryos. We conclude that the degree of TE mosaicism is a poor predictor of ongoing pregnancy and miscarriage. Moreover, in our ROC analysis PGS demonstrates poor clinical effectiveness for a routine screening test and, therefore, should not be routinely offered as an ad-on to IVF. Until efficacy, safety, and cost effectiveness of PGS are established it, therefore, should only be offered as an experimental test under study conditions and with appropriate informed consent.
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1.  Healthy Babies after Intrauterine Transfer of Mosaic Aneuploid Blastocysts.

Authors:  Ermanno Greco; Maria Giulia Minasi; Francesco Fiorentino
Journal:  N Engl J Med       Date:  2015-11-19       Impact factor: 91.245

Review 2.  The nature of aneuploidy with increasing age of the female partner: a review of 15,169 consecutive trophectoderm biopsies evaluated with comprehensive chromosomal screening.

Authors:  Jason M Franasiak; Eric J Forman; Kathleen H Hong; Marie D Werner; Kathleen M Upham; Nathan R Treff; Richard T Scott
Journal:  Fertil Steril       Date:  2013-12-17       Impact factor: 7.329

Review 3.  Mosaicism in Preimplantation Human Embryos: When Chromosomal Abnormalities Are the Norm.

Authors:  Rajiv C McCoy
Journal:  Trends Genet       Date:  2017-04-28       Impact factor: 11.639

4.  Analysis of implantation and ongoing pregnancy rates following the transfer of mosaic diploid-aneuploid blastocysts.

Authors:  Elpida Fragouli; Samer Alfarawati; Katharina Spath; Dhruti Babariya; Nicoletta Tarozzi; Andrea Borini; Dagan Wells
Journal:  Hum Genet       Date:  2017-04-09       Impact factor: 4.132

5.  Effectiveness of in vitro fertilization with preimplantation genetic screening: a reanalysis of United States assisted reproductive technology data 2011-2012.

Authors:  Vitaly A Kushnir; Sarah K Darmon; David F Albertini; David H Barad; Norbert Gleicher
Journal:  Fertil Steril       Date:  2016-03-04       Impact factor: 7.329

6.  Association of abnormal ovarian reserve parameters with a higher incidence of aneuploid blastocysts.

Authors:  Mandy G Katz-Jaffe; Eric S Surrey; Debra A Minjarez; Robert L Gustofson; John M Stevens; William B Schoolcraft
Journal:  Obstet Gynecol       Date:  2013-01       Impact factor: 7.661

7.  Higher rates of aneuploidy in blastocysts and higher risk of no embryo transfer in recurrent pregnancy loss patients with diminished ovarian reserve undergoing in vitro fertilization.

Authors:  Lora K Shahine; Lorna Marshall; Julie D Lamb; Lee R Hickok
Journal:  Fertil Steril       Date:  2016-06-29       Impact factor: 7.329

8.  Extent of chromosomal mosaicism influences the clinical outcome of in vitro fertilization treatments.

Authors:  Francesca Spinella; Francesco Fiorentino; Anil Biricik; Sara Bono; Alessandra Ruberti; Ettore Cotroneo; Marina Baldi; Elisabetta Cursio; Maria Giulia Minasi; Ermanno Greco
Journal:  Fertil Steril       Date:  2017-11-28       Impact factor: 7.329

9.  Female age, serum antimüllerian hormone level, and number of oocytes affect the rate and number of euploid blastocysts in in vitro fertilization/intracytoplasmic sperm injection cycles.

Authors:  Antonio La Marca; Maria Giulia Minasi; Giovanna Sighinolfi; Pierfrancesco Greco; Cindy Argento; Valentina Grisendi; Francesco Fiorentino; Ermanno Greco
Journal:  Fertil Steril       Date:  2017-10-04       Impact factor: 7.329

10.  Preimplantation genetic screening- the required RCT that has not yet been carried out.

Authors:  Raoul Orvieto
Journal:  Reprod Biol Endocrinol       Date:  2016-06-24       Impact factor: 5.211

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1.  Worldwide live births following the transfer of chromosomally "Abnormal" embryos after PGT/A: results of a worldwide web-based survey.

Authors:  Pasquale Patrizio; Gon Shoham; Zeev Shoham; Milton Leong; David H Barad; Norbert Gleicher
Journal:  J Assist Reprod Genet       Date:  2019-06-24       Impact factor: 3.412

Review 2.  The mechanisms and clinical application of mosaicism in preimplantation embryos.

Authors:  Xinyuan Li; Yan Hao; Nagwa Elshewy; Xiaoqian Zhu; Zhiguo Zhang; Ping Zhou
Journal:  J Assist Reprod Genet       Date:  2019-12-14       Impact factor: 3.412

3.  Healthy live births from transfer of low-mosaicism embryos after preimplantation genetic testing for aneuploidy.

Authors:  Chun-I Lee; En-Hui Cheng; Maw-Sheng Lee; Pin-Yao Lin; Yi-Chun Chen; Chien-Hong Chen; Lii-Shung Huang; Chun-Chia Huang; Tsung-Hsien Lee
Journal:  J Assist Reprod Genet       Date:  2020-07-04       Impact factor: 3.412

4.  The PGS/PGT-A controversy in IVF addressed as a formal conflict resolution analysis.

Authors:  Lyka Mochizuki; Norbert Gleicher
Journal:  J Assist Reprod Genet       Date:  2020-03-26       Impact factor: 3.412

5.  Minimizing mosaicism: assessing the impact of fertilization method on rate of mosaicism after next-generation sequencing (NGS) preimplantation genetic testing for aneuploidy (PGT-A).

Authors:  Katherine L Palmerola; Sally F Vitez; Selma Amrane; Catha P Fischer; Eric J Forman
Journal:  J Assist Reprod Genet       Date:  2018-10-25       Impact factor: 3.412

6.  Evidence-based clinical prioritization of embryos with mosaic results: a systematic review and meta-analysis.

Authors:  Ali Mourad; Roland Antaki; François Bissonnette; Obey Al Baini; Boutros Saadeh; Wael Jamal
Journal:  J Assist Reprod Genet       Date:  2021-09-02       Impact factor: 3.412

7.  Optimized NGS Approach for Detection of Aneuploidies and Mosaicism in PGT-A and Imbalances in PGT-SR.

Authors:  Carmen M García-Pascual; Luis Navarro-Sánchez; Roser Navarro; Lucía Martínez; Jorge Jiménez; Lorena Rodrigo; Carlos Simón; Carmen Rubio
Journal:  Genes (Basel)       Date:  2020-06-29       Impact factor: 4.096

8.  The 2019 PGDIS position statement on transfer of mosaic embryos within a context of new information on PGT-A.

Authors:  N Gleicher; D F Albertini; D H Barad; H Homer; D Modi; M Murtinger; P Patrizio; R Orvieto; S Takahashi; A Weghofer; S Ziebe; N Noyes
Journal:  Reprod Biol Endocrinol       Date:  2020-05-29       Impact factor: 5.211

9.  Chromosomal mosaicism: Origins and clinical implications in preimplantation and prenatal diagnosis.

Authors:  Brynn Levy; Eva R Hoffmann; Rajiv C McCoy; Francesca R Grati
Journal:  Prenat Diagn       Date:  2021-03-22       Impact factor: 3.050

Review 10.  Biological and Clinical Significance of Mosaicism in Human Preimplantation Embryos.

Authors:  Ioanna Bouba; Elissavet Hatzi; Paris Ladias; Prodromos Sakaloglou; Charilaos Kostoulas; Ioannis Georgiou
Journal:  J Dev Biol       Date:  2021-05-07
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