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In vitro fertilization outcomes after preimplantation genetic testing for chromosomal structural rearrangements comparing fluorescence in-situ hybridization, microarray comparative genomic hybridization, and next-generation sequencing

OBJECTIVE: To compare in vitro fertilization (IVF) outcomes for preimplantation genetic testing for chromosomal structural rearrangements (PGT-SR) using various testing platforms. DESIGN: Retrospective cohort. SETTING: Large academic IVF center. PATIENT(S): Fifty-one balanced translocation carriers...

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Detalles Bibliográficos
Autores principales: Bartels, Chantal B., Makhijani, Reeva, Godiwala, Prachi, Bartolucci, Alison, Nulsen, John C., Grow, Daniel R., Engmann, Lawrence, Benadiva, Claudio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244371/
https://www.ncbi.nlm.nih.gov/pubmed/34223252
http://dx.doi.org/10.1016/j.xfre.2020.09.011
Descripción
Sumario:OBJECTIVE: To compare in vitro fertilization (IVF) outcomes for preimplantation genetic testing for chromosomal structural rearrangements (PGT-SR) using various testing platforms. DESIGN: Retrospective cohort. SETTING: Large academic IVF center. PATIENT(S): Fifty-one balanced translocation carriers undergoing IVF with PGT-SR who completed a total of 91 cycles, including 31 fluorescence in-situ hybridization (FISH), 24 microarray comparative genomic hybridization (aCGH), and 36 next-generation sequencing (NGS) testing cycles. INTERVENTION(S): PGT-SR. MAIN OUTCOME MEASURE(S): Primary outcome of live-birth rate and secondary outcomes including implantation rate, clinical loss rate, and percentages of normal or balanced, unbalanced, and aneuploid embryos detected. RESULT(S): There was no statistically significant difference in LBR, though there was a tendency toward a higher LBR for NGS testing (14 of 19, 73.7%) compared with FISH (8 of 18, 44.4%) and aCGH (10 of 20, 50.0%). The implantation rate was statistically significantly higher for NGS (16 of 20, 80.0%) compared with FISH (11 of 25, 44.0%) and aCGH (16 of 30, 53.3%). There was no statistically significant difference in clinical pregnancy losses. There was a lower percentage of normal or balanced embryos with FISH (12.5%) compared with aCGH (23.7%) and with NGS (20.7%). CONCLUSION(S): This is the first report of PGT-SR outcomes for translocation carriers directly comparing PGT-SR using FISH, aCGH, and NGS. Our findings suggest an improvement in pregnancy outcomes parallel to the advancement in technology and are reassuring for continued use of NGS for this population.