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A. Melnick and Z. Rosenwaks

References

1.\ Busso CE, Reis Soares S, Pellicer A. In: Martin KA, editor. Management of ovarian hyperstimulation syndrome. Waltham, MA: UpToDate; 2021a. Accessed 1 May 2022.

2.\ Busso CE, Reis Soares S, Pellicer A. In: Martin KA, editor. Pathogenesis, clinical manifestations, and diagnosis of ovarian hyperstimulation syndrome. Waltham, MA: UpToDate; 2021b. Accessed 1 May 2022.

3.\ Chen D, Burmeister L, Goldschlag D, Rosenwaks Z. Ovarian hyperstimulation syndrome: strategies for prevention. Reprod Biomed Online. 2003;7(1):43–9.

4.\ Kashyap S, Parker K, Cedars MI, Rosenwaks Z. Ovarian hyperstimulation syndrome prevention strategies: reducing the human chorionic gonadotropin trigger dose. Semin Reprod Med. 2010;28(6):475–85.

5.\ Navot D, Bergh P, Laufer N. The ovarian hyperstimulation syndrome. In: Adashi EY, Rock JA, Rosenwaks Z, editors. Reproductive endocrinology, surgery and technology. Philadelphia, PA: Lippincott-Raven; 1996. p. 2215–32.

6.\ Practice committee of the American Society for Reproductive Medicine. Ovarian hyperstimulation syndrome. Fertil Steril. 2008;9(5 Suppl):S188–93.

7.\ Practice committee of the American Society for Reproductive Medicine. Prevention and treatment of moderate and severe ovarian hyperstimulation syndrome: a guideline. Fertil Steril. 2016;106(7):1634–47.

Chapter 32

Pre-Implantation Genetic Testing

Glenn Schattman

Case

SR, a 35-year-old G1P0010 cisgender female, initially presented with her husband for secondary infertility. She discontinued oral contraceptive pills approximately 2 years ago and immediately conceived a pregnancy in the rst cycle they tried but this pregnancy ended in an early miscarriage. In a subsequent cycle when she was late for her period again by about 1 week, she performed a urine pregnancy test at home which was positive. Initial BhCG at her physician’s of ce rose to a maximum level of 682 mIU/mL within 1 week, followed shortly by a decline culminating in a menstrual period. Transvaginal ultrasound was never performed since the BhCG never rose above the threshold of 1500 mIU/mL needed to visualize an intrauterine gestational sac. After the miscarriage, the couple tried to conceive again for 9 months without success. They were referred to a reproductive endocrinologist whose workup included a hysterosalpingogram which showed a normal uterine cavity with bilateral tubal patency, a normal semen analysis and compatible genetic testing revealing that they were not at risk of having a child affected by a devastating genetic disease tested on the panel. Pelvic ultrasound demonstrated a normal uterus and no adnexal mass. Antral follicle count was 14, the expected mean for her chronologic age. Additional measures of ovarian reserve obtained revealed an anti-­ Mullerian hormone (AMH) level of 1.4 ng/mL, consistent with the antral follicle count. The couple stated that ideally, they would like to have two children.

They were counseled about the results of all the testing and options for improving the odds of conceiving a successful pregnancy. They were treated with clomiphene citrate (50 mg/day × 5 days) with appropriately timed intrauterine insemination

G. Schattman (*)

Reproductive Medicine and Ob/Gyn, The Ronald Perelman and Claudia Cohen Center for Reproductive Medicine, Weill Medical College of Cornell University, New York, NY, USA e-mail: glschatt@med.cornell.edu

© Springer Nature Switzerland AG 2023

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P. H. Chung, Z. Rosenwaks (eds.), Problem-Focused Reproductive Endocrinology and Infertility, Contemporary Endocrinology, https://doi.org/10.1007/978-3-031-19443-6_32

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(IUI) for 3 months. She had a good response to the clomiphene citrate with 2 or 3 follicles developing each time but unfortunately, no pregnancy resulted. Options were reviewed with the couple including continuing clomiphene citrate with IUI for up to 2–3 more cycles or proceeding with in vitro fertilization (IVF). During the consultation, the couple raised the question about genetically testing their embryos for aneuploidy. They mentioned that they have many friends who underwent IVF and were told to proceed with genetic testing of their embryos as it would increase the probability of pregnancy while reducing the chance of miscarriage.

Discussion

Is IVF the next appropriate step for this couple? The simple answer to that question would be “yes.” This couple is experiencing secondary infertility and the most likely cause of the pregnancy loss of the rst pregnancy statistically would be embryo aneuploidy. Since the workup has been unrevealing, and medicated IUI has not worked, IVF is an appropriate next step. As the majority of pregnancies with controlled ovarian stimulation and IUI occur within the rst three attempts, continuing with IUI treatment is less likely to be successful.

IVF involves stimulation with gonadotropins to induce multi-follicular development with the retrieval of mature metaphase II (MII) oocytes. The number of oocytes that can be retrieved is directly correlated to the individual’s ovarian reserve. In this patient with an AMH of 1.4 ng/mL and an AFC of 14, one would anticipate that the average number of oocytes available each month would be ~14 ± 2. Assuming that the majority of oocytes (80%) will be mature and that 70% fertilize, this will result in approximately eight fertilized (2PN) zygotes each cycle. Now, assuming that between 25 and 50% of 2PN zygotes survive extended in vitro culture to blastocyst stage, there would be between 2 and 4 blastocysts from which to select for transfer on day 5. In fact, in one study [1], the mean # of blastocysts available in a 35-year-­ old woman was 4. The mean # blastocysts was in younger patients was 6, decreasing to a mean of 2 at age 40.

Generally, there is agreement that IVF is the most ef cient step forward for this couple in order to achieve a successful pregnancy. We should also agree that the reason why older women have a lower probability of implantation/pregnancy along with a higher miscarriage rate is because each egg they ovulate and embryos they create has an increased probability of being chromosomally abnormal. Why should we then not recommend to genetically test every embryo for aneuploidy before transfer when performing IVF?

Taking a closer look at pre-implantation genetic testing (PGT) of embryos, there are many reasons to genetically test an embryo, PGT-M, PGT-A, and PGT-SR. PGT-M is the acronym used for “M”onogenic diseases which can be autosomal recessive, dominant or sex linked. For recessive disorders like cystic brosis, the risk of each embryo being affected is roughly 25% (50% will be unaffected carriers) and for dominant disorders each embryo has a 50% of being affected (consider BRCA or

32  Pre-Implantation Genetic Testing

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Lynch Syndrome). PGT-SR evaluates for “S”tructural “R”earrangements such as unbalanced karyotypes in embryos from couples where one of the parents has a balanced translocation. In both of these scenarios (M and SR), the indications for PGT are for disease avoidance and reducing miscarriage due to a genetically inherited aberration.

PGT-A however is evaluating the embryo for a de-novo “A”neuploidy arising from either a meiotic error or mitotic error post-fertilization. This testing is different from PGT-M and PGT-SR in that parents are normal (euploid) and not directly transmitting a mutated gene to the embryo. Meiotic errors in either the oocyte or sperm will lead to aneuploidy resulting in the same abnormality in every cell of the embryo. Mitotic errors post-fertilization will lead to mosaic embryos where not every cell will be affected depending on the developmental stage of the embryo when the error occurred. This phenomenon of mosaicism leads to potential diagnostic errors when analyzing a few cells (out of ~120 cells) from an embryo 5–6 days post-fertilization. Since trophectoderm biopsies taken at random do not represent the inner cell mass, and cells divide in a clonal fashion, a single biopsy of a few cells may not represent the genetic health of the entire embryo.

Careful evaluation of the studies describing the bene ts of PGT-A suggest that they were biased by faws in study design including improper primary outcomes, highly selected good prognosis populations, inappropriate randomization by including patients only when they had achieved multiple good quality blastocysts for analysis. These design faws make the studies biased toward bene tting only in a small and highly selected population and may not represent the majority of IVF patients. PGT-A proponents have used these studies for years to mass-market PGT-A to all patients undergoing IVF.

The largest and most relevant study looking at real world patient populations is a recent multi-center, international study called the “STAR trial” [2]. In this study, 984 patients up to 40 years of age were randomized to either PGT-A group or a control group. The PGT-A group had all of the blastocysts biopsied on day 5 or 6 of development and cryopreserved immediately after biopsy. Embryo transfer was done in the subsequent cycle selecting the best euploid embryo for transfer. The control group had the best quality blastocyst cryopreserved on D5 while all of the other embryos biopsied and cryopreserved on D5 or D6. All patients then underwent transfer of either the best, euploid embryo in the PGT-A group or the single best, non-biopsied embryo that was chosen on D5 in the control group. Outcomes were then analyzed by implantation rate per transfer.

Only 661 patients (330 PGT-A, 331 control) out of the original 984 randomized were included in the nal analysis. Despite selecting for only good prognosis patients based on AMH and AFC, 70/510 (13.7%) patients aged <35 and 97/474 (20.5%) aged 35–40 did not have at least two good quality blastocysts for analysis and were excluded. Of the remaining 330 patients in the PGT-A group, only 274 (83%) could be included because 67 patients (20.5%) had no normal embryos available for transfer and in six patients (1.8%) the embryo did not survive the thaw. While the implantation rate overall was “higher” for the PGT-A group, when you take into account the patients who did not have a transfer, the ongoing pregnancy

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rate (>20 weeks gestation) was 41.5% in the PGT-A group and 45.6% in the control group. Since the patient population covered a wide range of ages, a careful analysis comparing younger patients (aged <35) and older patients (aged 35–40) is warranted. Younger patients were potentially negatively impacted by testing their embryos. Implantation rate (+BHCG/embryo transferred) of highly selected embryos was not different between the two groups either (49.3% and 53% for PGT-A and control, respectively). The ongoing pregnancy rate was lower in the PGT-A group (42.5%) compared to the control group (50.3%).

In the older group (aged 35–40), where aneuploidy rates are higher, the implantation rate was noted to be higher for PGT-A tested embryos (50.8%) than in the control group (37.2%). But when evaluated by intention to treat (ITT) including the patients who did not have an embryo suitable for transfer, ongoing pregnancy rates were not statistically different between the two groups, 41.1% and 35.7% for the PGT-A and control groups, respectively. Additionally, miscarriage rates were also not different between the two groups, even in the older population with 8.2% miscarriage rate for tested embryos and 11% for untested embryos. Interestingly, as discussed previously, random biopsies reveal mitotic errors with the sample of cells being “mosaic” mixes of normal and abnormal cells. This mosaic nding was present in about 16.5% of all embryos regardless of patient age. When we take into account the number of mosaic but potentially viable embryos discarded with PGT-­ A, the cumulative pregnancy rate per stimulated cycle may be even lower in the PGT-A group.

In a recently published trial in the NEJM [3], cumulative live birth rates per stimulation cycle were evaluated using PGT-A compared to controls. Patients ages 20–37 were randomized when they had at least three blastocysts. There were 606 patients randomized to the PGT-A group and 606 randomized to the control group for 1212 patients in total. Cumulative live birth rates within the rst year were analyzed until no embryos remained within the rst year. In the PGT-A group, the total number of live births was 468 (77.2%) per started cycles. In the control group, this rate was actually higher at 81.8% (496 live births)! In fact, even the miscarriage rate was not signi cantly different (12.6% for untested embryos vs. 8.7% in the tested embryos).

In conclusion, PGT is the process of removing one or more cells from a developing embryo for genetic testing. PGT can be performed for patients at risk of having children with a serious monogenic condition, recurrent pregnancy loss due to one of the parents carrying a balanced translocation or a de-novo aneuploidy. Disease avoidance and reducing the probability of miscarriage can be done with the primary outcome being the birth of a healthy child without disease. PGT-A on the other hand has been promoted as a means to improve live birth rates, decrease the time to pregnancy and reduce miscarriage rates. As can be seen from the data presented herein, PGT-A does not deliver on any of these indications. While implantation rates per embryo transferred were higher in women >35, this improvement comes at the expense of a lower take home baby rate, especially if you consider that the patient most likely to have only 1 or 2 embryos available per stimulation cycle is the patient over 35.