Literature DB >> 21713549

PGS-FISH in reproductive medicine and perspective directions for improvement: a systematic review.

Sandra Zamora1, Ana Clavero, M Carmen Gonzalvo, Juan de Dios Luna Del Castillo, Jose Antonio Roldán-Nofuentes, Juan Mozas, Jose Antonio Castilla.   

Abstract

INTRODUCTION: Embryo selection can be carried out via morphological criteria or by using genetic studies based on Preimplantation Genetic Screening. In the present study, we evaluate the clinical validity of Preimplantation Genetic Screening with fluorescence in situ hybridization (PGS-FISH) compared with morphological embryo criteria.
MATERIAL AND METHODS: A systematic review was made of the bibliography, with the following goals: firstly, to determine the prevalence of embryo chromosome alteration in clinical situations in which the PGS-FISH technique has been used; secondly, to calculate the statistics of diagnostic efficiency (negative Likelihood Ratio), using 2 × 2 tables, derived from PGS-FISH. The results obtained were compared with those obtained from embryo morphology. We calculated the probability of transferring at least one chromosome-normal embryo when it was selected using either morphological criteria or PGS-FISH, and considered what diagnostic performance should be expected of an embryo selection test with respect to achieving greater clinical validity than that obtained from embryo morphology.
RESULTS: After an embryo morphology selection that produced a negative result (normal morphology), the likelihood of embryo aneuploidies was found to range from a pre-test value of 65% (prevalence of embryo chromosome alteration registered in all the study groups) to a post-test value of 55% (Confidence interval: 50-61), while after PGS-FISH with a negative result (euploid), the post-test probability was 42% (Confidence interval: 35-49) (p < 0.05). The probability of transferring at least one euploid embryo was the same whether 3 embryos were selected according to morphological criteria or whether 2, selected by PGS-FISH, were transferred. Any embryo selection test, if it is to provide greater clinical validity than embryo morphology, must present a LR-value of 0.40 (Confidence interval: 0.32-0.51) in single embryo transfer, and 0.06 (CI: 0.05-0.07) in double embryo transfer. DISCUSSION: With currently available technology, and taking into account the number of embryos to be transferred, the clinical validity of PGS-FISH, although superior to that of morphological criteria, does not appear to be clinically relevant.

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Year:  2011        PMID: 21713549      PMCID: PMC3170114          DOI: 10.1007/s10815-011-9578-9

Source DB:  PubMed          Journal:  J Assist Reprod Genet        ISSN: 1058-0468            Impact factor:   3.412


  93 in total

1.  Validation of preimplantation genetic diagnosis by PCR analysis: genotype comparison of the blastomere and corresponding embryo, implications for clinical practice.

Authors:  J Dreesen; M Drüsedau; H Smeets; C de Die-Smulders; E Coonen; J Dumoulin; M Gielen; J Evers; J Herbergs; J Geraedts
Journal:  Mol Hum Reprod       Date:  2008-09-18       Impact factor: 4.025

2.  A prospective randomized controlled trial of preimplantation genetic screening in the "good prognosis" patient.

Authors:  Liza R Meyer; Sigal Klipstein; William D Hazlett; Tricia Nasta; Patricia Mangan; Vishvanath C Karande
Journal:  Fertil Steril       Date:  2008-09-18       Impact factor: 7.329

3.  Prospectively randomized controlled trial of PGS in IVF/ICSI patients with poor implantation.

Authors:  Christophe Blockeel; Valerie Schutyser; Anick De Vos; Willem Verpoest; Michel De Vos; Catherine Staessen; Patrick Haentjens; Josiane Van der Elst; Paul Devroey
Journal:  Reprod Biomed Online       Date:  2008-12       Impact factor: 3.828

4.  No beneficial effect of preimplantation genetic screening in women of advanced maternal age with a high risk for embryonic aneuploidy.

Authors:  Moniek Twisk; Sebastiaan Mastenbroek; Annemieke Hoek; Maas-Jan Heineman; Fulco van der Veen; Patrick M Bossuyt; Sjoerd Repping; Johanna C Korevaar
Journal:  Hum Reprod       Date:  2008-06-21       Impact factor: 6.918

5.  Accuracy of FISH analysis in predicting chromosomal status in patients undergoing preimplantation genetic diagnosis.

Authors:  Catherine M DeUgarte; Man Li; Mark Surrey; Hal Danzer; David Hill; Alan H DeCherney
Journal:  Fertil Steril       Date:  2008-03-21       Impact factor: 7.329

6.  Preimplantation genetic screening in women of advanced maternal age caused a decrease in clinical pregnancy rate: a randomized controlled trial.

Authors:  T Hardarson; C Hanson; K Lundin; T Hillensjö; L Nilsson; J Stevic; E Reismer; K Borg; M Wikland; C Bergh
Journal:  Hum Reprod       Date:  2008-06-25       Impact factor: 6.918

7.  Preimplantation genetic screening does not improve delivery rate in women under the age of 36 following single-embryo transfer.

Authors:  C Staessen; W Verpoest; P Donoso; P Haentjens; J Van der Elst; I Liebaers; P Devroey
Journal:  Hum Reprod       Date:  2008-10-17       Impact factor: 6.918

8.  The causes of misdiagnosis and adverse outcomes in PGD.

Authors:  L Wilton; A Thornhill; J Traeger-Synodinos; K D Sermon; J C Harper
Journal:  Hum Reprod       Date:  2009-01-20       Impact factor: 6.918

Review 9.  The role of proteomics in defining the human embryonic secretome.

Authors:  M G Katz-Jaffe; S McReynolds; D K Gardner; W B Schoolcraft
Journal:  Mol Hum Reprod       Date:  2009-02-17       Impact factor: 4.025

10.  Use of comprehensive chromosomal screening for embryo assessment: microarrays and CGH.

Authors:  Dagan Wells; Samer Alfarawati; Elpida Fragouli
Journal:  Mol Hum Reprod       Date:  2008-10-28       Impact factor: 4.025

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  2 in total

1.  Chromosomal integrity of human preimplantation embryos at different days post fertilization.

Authors:  Michal Dekel-Naftali; Ayala Aviram-Goldring; Talia Litmanovitch; Jana Shamash; Hagith Yonath; Ariel Hourvitz; Yuval Yung; Masha Brengauz; Eyal Schiff; Shlomit Rienstein
Journal:  J Assist Reprod Genet       Date:  2013-04-18       Impact factor: 3.412

2.  MicroRNAs secreted by human embryos could be potential biomarkers for clinical outcomes of assisted reproductive technology.

Authors:  Fang Fang; Zili Li; Jiangyu Yu; Yuting Long; Qian Zhao; Xiaofang Ding; Li Wu; Shumin Shao; Ling Zhang; Wenpei Xiang
Journal:  J Adv Res       Date:  2021-01-11       Impact factor: 10.479

  2 in total

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