Comprehensive Chromosome Screening in IVF: Enhancing Outcomes While Reducing the Burden of Care aCGH (Lab 1) 45,XY,-8 qPCR (Lab 2) SNP array (Lab 3) 46,XY Richard T. Scott, Jr, MD, HCLD Clinical and Scientific Director, Reproductive Medicine Associates of New Jersey Professor and Director, Reproductive Endocrinology Robert Wood Johnson Medical School, Rutgers University Disclosures • Board Member – FEC • No compensation of any kind • No financial interest in any test or diagnostic platform The Road to Clinically Effective Preimplantation Genetics Yury Verlinsky, PhD “PB Biopsy” 1986 Leeanda Wilton, PhD “Cleavage Bx” 1987 1967 1937 John Rock, MD “According to Specifications” Santiago Munne, PhD First FISH PGD 2008 Nathan Treff, PhD Validated 24 Chr .Platform Marilyn Monk Murine Model PGD Lesch-Nyhan Robert Edwards, PhD “Sexing Rabbit Blastocysts” 1993 1988 1990 Alan Handyside, PhD Successful Clinical PGD for X Linked Disorders 2013 Eric Forman, MD Enhanced Safety, Reduced Cost 1989 1988 Elena Kontogianni, PhD “PCR of Y in single blastomeres” Audrey MuggletonHarris, PhD “Blastocyst Bx” What do people think about when you say IVF… Efficiency of Human Reproduction through IVF 100 Retrospective Eval. 80 Proportion leading to delivery: 60 7% of Follicles 40 13% of Embryos % 20 0 N=132,874 Mature Follicles 21% of 8 Cells 42% of Blastocysts What might explain the high failure rate? Estimating implantation potential Best practices - morphology X 1 X X 2 3 X X X 4 5 6 X 7 Applying Genomics to Clinical Embryology Sustained Implantation Rate (%) In an ideal world, identifying implantation potentialthe “BEST” test would reflect the true state of nature. 100 90 80 70 60 50 40 30 20 10 0 X X X X 1 2 X 3 X X 4 5 Embryo Number 6 Transfer decisions would be extremely simple 7 Contemporary Understanding of Maternal Age and Human Embryonic Aneuploidy 100 N=15,169 Percent of Embryos Which are Aneuploid 90 80 70 60 50 40 30 20 10 0 22 23 24 25 26 27 28 29 30 31 32 33 34 Age (yrs) Franasiak et al – Fertil Steril 2014 35 36 37 38 39 40 41 42 43 44 45 Copy Number Is transferring an aneuploid embryo clinically useful? Gain of 21 1 2 3 4 5 6 7 8 9 Chromosome # 10 11 12 13 14 15 16 17 18 19 21 20 22 X What are the “Burdens” of CCS Thus the real questions are: 1. Safely attaining embryonic DNA 2. Predictive values of the techniques 3. Proportion of euploid embryos that will fail 4. Cost effectiveness Does Embryo Biopsy Impact the Developmental Potential of the Oocyte Routine IVF Care through Retrieval Identify mature oocytes ICSI, culture, and select 2 best embryos for transfer Transfer the embryos Cell submitted for eventual aneuploidy screening and fingerprinting Implantation, Maternal serum sampling for free fetal DNA and Fingerprinting One embryo randomized to undergo biopsy N=113 pairs; 226 embryos Overall implantation rates 39% reduction insignificant In our opinion, day 3 biopsy will soon be of historic interest only 27% (mean maternal age 32) reported by Gutierrez-Mateo, C., et al. Fertility and sterility 92, 1544-1556 (2009) aCGH enhances delivery rates – an RCT • RCT • Age – All < 35 – Mean age of 31 • Sample Size – 55 aCGH – 48 control • Significant improvement in outcomes Monosomy:Trisomy Ratio of 2 • Answers one of the four critical validation questions Scott et al Fertility and Sterility 2013; 100:697-703 100 90 80 70 60 % 50 40 With greater experience, actual negative predictive value is ~98.8% Scott et al Fertil Steril 2012; 97:870-5 30 20 10 0 < 32 33-35 36-38 39-40 41-42 Age (yrs) The No Transfer Rate with CCS 100 90 No-Euploid Blasts Rate (%) 80 N=15,169 70 60 50 40 30 20 10 0 22 23 24 25 26 27 28 29 30 31 32 33 34 Age (yrs) Franasiak et al – Fertil Steril 2014 35 36 37 38 39 40 41 42 43 44 > 45 How Many Embryos Do Patient Undergoing CCS Have? Cumulative Proportion of Cases with this number of blastocysts available for Biopsy (%) 100 90 80 70 60 52% of cases had 3 or fewer evaluable embryos 50 40 30 20 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 Proportion of Cases with this number of blastocysts available for Biopsy (%) 25 N=15,169 20 15 10 5 0 1 2 3 4 5 6 7 Franasiak et al – Fertil Steril 2014 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 Number of Blastocyts Trisomy:Monosomy Ratio by Age Ratios consistent across nine programs N=15,169 Trisomy:Monosomy Ratio 3 2.5 2 1.5 1 0.5 0 <35 35-37 38-40 Age Group (yrs) 41-42 43+ Key Indicator for QA of your assay Franasiak et al – Fertil Steril 2014 Clinical Experience Misdiagnoses Clinical Error Rate Per embryo Per transfer Per ongoing pregnancy 0.2% 0.3% 0.1% • 4974 embryos • 3168 transfers • 2976 gestations (62.1%) • 2354 ongoing / delivered (72.1%) • 10 errors – 1 tetraploid – 2 monosomies – 7 trisomies • Mean age 38.4 years • 10 errors – 7 found in losses – 3 found in ongoing preg. Mosaicism evaluated in 4 samples – 100% mosaic Consolidated Pregnancy Outcomes Proportion of All Pregnancies 90 80 N=4,754 pregnancies Clinical Loss Rate (%) 70 60 CCS - Delivery 50 No Screening - Delivery 40 CCS - Clinical Loss No Screening - Clinical Loss 30 CCS - Chemical Los 20 No Screening - Chemical Loss 10 0 < 35 Scott KL et al – RMA 35 - 38 41 Maternal Age (yrs) 43+ Kulkarni D et al, New Engl J Med, 2014. PMID: 24304051 Kulkarni D et al, New Engl J Med, 2014. PMID: 24304051 With >2 blastocysts, even patients at high aneuploidy risk are very likely to have a euploid blastocyst Probability of at least 1 Euploid Blastocyst 100% 90% 80% 70% 60% 50% Blastocyst Aneuploidy Rate by Age Group 40% 30% 55% 21% 64% 34% 20% 10% 0% <35 35-37 38-40 41-42 Forman EJ et al., O-161 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% Aneuploidy Rate 2 Blastocyst 3 Blastocyst 4 Blastocyst Delivery Rate (%) Simplified Calculation of Sustained Implantation Rates 86 84 82 80 78 76 74 72 70 68 66 64 62 60 58 56 54 52 50 48 46 44 42 40 38 36 34 32 30 • • • • 30 Start with delivery rate Draw horizontal line to transfer order Draw vertical line to attain SIR Interpolate as needed 32 34 36 38 40 42 44 46 48 50 52 54 56 Sustained Implantation Rate (%) Transfer Order: 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 58 60 Singleton Term Delivery: The Ideal IVF Outcome • IVF twin pregnancies are at an increased risk of: – Preeclampsia (2-fold risk increase)1 – Extreme prematurity (7.4-fold increase delivery <32 wks) 2 – NICU admission (3.8-fold increased risk)2 – Perinatal Death (2-fold increase)2 • Two IVF singleton deliveries have better obstetrical outcomes than one IVF twin delivery3 1. 2. 3. ASRM Practice Committee, Fertil Steril, 2012. PMID: 22192352 Pinborg A, et al., Acta Obstet Gynecol Scand, 2004. PMID: 15488125 Sazonova A ,et al., Fertil Steril, 2013. PMID: 23219009 Provided by a patient… FRESH SET RESULTS IN LOWER DELIVERY RATES THAN DOUBLE EMBRYO TRANSFER (DET) Livebirth Rate - SET vs. DET 45% 40% 13.2% 35% 30% 25% 0.5% Twins 20% 15% Singletons 26% 30% 10% 5% 0% SET • Cochrane Review of 6 randomized trials from 1999-2006 (N = 1,257) • Young, good prognosis patients with “top quality” embryos available • Slightly more singletons after DET DET Pandian Z et al., Cochrane Database Syst Rev, 2009. PMID: 19370588 The Dropout Rate from IVF is Significant 70% 60% Percent Dropout 50% 40% Dropout/cycle 30% Cumm Actual PR 20% 10% 0% 1 2 3 4 5 Cycle Number Source: Schroder AK: Cumulative pregnancy rates and drop out rates of a German IVF programme: 4, 102 cycles in 2,130 patients. RBM Online (2004) 8:600-606 6 7 1 Can ≥ 2? CCS Results in Higher Implantation Rates 80% 70% P=0.02 66.3% 60% 51.2% 50% 40% N=83 N=170 Euploid SET Traditional DET 30% 20% 10% 0% Implantation = cardiac activity at time of discharge to obstetrical care (~9 weeks) Same Delivery Rate: Randomized Controlled Trial 80% 70% 60% Delivery Rate Per Patient (n=175) Single euploid blastocyst transfer (N=89) Untested 2-blastocyst transfer (N=86) P=0.5 61% 65% 50% 40% 30% 20% 10% 0% Forman EJ et al. Fertil Steril 2013 Eliminates Multiples Singletons 100% Multiples P<0.001 P<0.001 52% 48% 0% Single euploid blastocyst transfer Untested 2-blastocyst transfer Forman EJ et al. Fertil Steril 2013 Better Obstetrical Outcomes are Attained CCS/eSET than Conventional Two Embryo Transfer 5500 •Mean Birthweight: 5000 3408 ± 562g – Single euploid 2745 ± 743g – 2-Blastocyst (P<0.001) Birthweight (Grams) 4500 4000 •Low birthweight (<2,500g): 3500 4.4% (2/45) – Single Euploid 31.9% (22/69) – 2-Blastocyst (P<0.001) 3000 2500 2000 •Very low birthweight (<1,500g): 1500 1000 Single euploid Untested 2Single Untested blastocyst blastocyst euploid 2-blastocyst transfer Grams transfer Grams blastocyst transfer transfer 0% (0/45) – Single Euploid 7.2% (5/69) – 2-Blastocyst (P=0.06) Better Obstetrical Outcomes Reduced Risk of NICU Admission Euploid eSET: 93 total days spent in NICU Untested 2-Embryo Transfer: 479 total days spent in NICU Forman EJ et al, Am J Obstet Gynecol, 2014. PMID: 24145186 Fewer “Big Ticket” Hospital Admissions • Mean total hospital and IVF charges per delivery: – $73,407 (euploid eSET) – $111,488 (untested 2-ET) • ~33% reduction in costs per delivery • A $38,000 difference per IVF delivery would represent $1.9 B savings on health care costs with ~50,000 IVF deliveries annually Forman EJ et al Obstetrical Costs for 100 Patients Current Standard Of Care Costs per Delivery* Singleton $21,458 Twins $104,831 Triplets $407,199 Does not include: Pediatric costs after 28 days of age Disability costs during bed rest Loss of productivity in the work place Lemos et al Am J Obstet Gynecol 2013; 209:586 Overall Cost to Provide Care CCS with SET versus Conventional Treatment • Use actual cost data – IVF cycle costs – CCS costs – Medication costs Thousands • Inclusive of all IVF costs including Costs per Delivery* $80 $70 $60 $50 $40 $30 $20 • Delivery costs and subsequent hospital stay through 28 days of life $10 $0 CCS / SET National Regional Avg Avg Natural versus Stimulated Folliculogenesis and Embryonic Aneuploidy The Natural Cycle Study 100 P=NS 90 Aneuploid (%) 80 70 60 50 40 30 20 10 0 <30 Hong ASRM 2014 30+ 35+ Stimulated 40+ 42+ Natural 45+ Patient Acceptance of eSET 100% 90% 80% 70% 60% 50% DET 40% eSET 30% 20% 10% 0% CCS Franasiak - RMANJ 2013-2015 Unscreened Follow Up on Prospective Trials The Future How NGS Works • Amplification of limited starting material • Millions of small fragments are generated… Embryo Biopsy Next Generation Sequencing Alignment • Aligned relative to a reference genome Next Generation Sequencing Depth of Coverage depth • Assemble all the fragments • The number of fragments which “fit” into a given area of the genome defines the DEPTH • High number of fragments allows each base pair to be sequenced/ evaluated thousands of times in a single assay Cystic Fibrosis Case 1 – Point Mutations Normal Carrier Affected Embryo 1 Embryo 2 Embryo 3 D1152 D1152 D1152 Absent W1282 Absent Present Present W1282 W1282 Absent Present Next Gen Sequencing for Aneuploidy Screening Accuracy (n=54) Per Chromosome: 99.93% (1295/1296) Per Cell: 98.14% (53/54) Known Mosaic Universal Primer with new UP reference (SNPs replaced with Ns), on 54 samples. Some small improvements. Coverage per sample is on next page. Known aneuploidies in red; known XX in cyan. Time Lapse Observations in the Embryology Laboratory And others….. % Euploid 100 90 80 70 60 50 40 30 20 10 0 ICSI to start of 1st cytokinesis (p=0.61) Time Lapse and Aneuploidy Traditional Markers 1st 2nd 3rd 4th Quartile % Euploid % Euploid Duration of the 2 cell stage (p=0.88) 100 90 80 70 60 50 40 30 20 10 0 100 90 80 70 60 50 40 30 20 10 0 Duration of the 3 cell stage (p=0.12) 1st 2nd 3rd 4th Quartile 1st 2nd 3rd Quartile 4th Hong KH et al – in review Can Time Lapse Help Distinguish Which Euploid Blasts will Deliver from those Destined to Fail? Temporal data evaluated: syn_rm: time from syngamy to 1st cytokinesis 5 • 5 conventional endpoints through cleavage stage 4.5 4 3.5 3 2.5 2 1.5 1 Failed Succesful • Additional temporal endpoints from extended culture: • First compaction • Morula formation • First cavitation • Blastocyst Expansion • First contraction Transfer Outcome NO: None of the 5 traditional parameters or 5 additional blast related parameters prognosticate outcome Duplications and Deletions • Arrays versus metaphase spread at time of amniocentesis • Wopner et al NEJM December 2012 • Population mostly advanced maternal age • Duplications and Deletions – Evaluated 80 dup/del’s with known clinical phenotype – 1 in 72 fetus’s had a clinically significant dup/del! – Risk considerably higher than for ongoing aneuploid gestation • Possible to simultaneously screen for these dup/del’s and aneuploidy with multiple platforms • Extensive validation required Some Disagree with PGS • • • • • • • • All embryo selection techniques are detrimental Inappropriate to use “Implantation Rates” as an endpoint “it can be questioned whether all patients will ever be able to understand all of the complexities concerning PGS” “cost-effectiveness is being forgotten” “In our view evaluating the (cost-)effectiveness of medical treatments is by far the greatest challenge in current day medicine, especially in an era where health care costs continue to increase to the extent where they are the number one item of expense for many governments across the globe” “evidence is now accumulating that all embryos in an IVF cycle can be cryopreserved and transferred in subsequent cycles without impairing, and maybe even improving, the cumulative pregnancy rate of that IVF cycle” Embryo selection should therefore not be used to select out embryos, but only to determine the order in which the embryos will be transferred, as the time to pregnancy can be improved by embryo selection, if embryos with the highest implantation potential are transferred first. Culturing to the blastocyst may be harmful Chromosome Pairing Before Segregation is Essential to Allow Crossing Over – Even with Balanced Translocations Normal Translocation Carrier Normal Chromosome Segregation Normal Translocations - Chromosome Segregation Alternate Segregation Translocations - Chromosome Segregation Adjacent-1 Segregation Translocations - Chromosome Segregation Adjacent-2 Segregation Normal Normal Balanced Alternate Segregation Unbalanced Unbalanced Adjacent-1 Segregation Adjacent-2 Segregation Unbalanced Unbalanced Unbalanced Unbalanced Unbalanced 3:1 Segregation 3:1 Segregation 3:1 Segregation 3:1 Segregation 4:0 Segregation The RMA New Jersey Research Team Clinical Embryology Kathleen Upham Xinying Li Rosanna Pangasnan Tian Zhao Michael Cheng Hokyung Lee Ayesha Winslow Angela Romaniello Stephanie Milne Sarah Dunn Lauren Rary Kristen Pauley Desiree Greene Serhan Ozensoy Erin Dubell Susan Ng Maria Morel Jessica Wall Scientific Director Richard T. Scott Clinical Research Christine Reda Talia Metzgar Jennifer Tyler Support Andrew Ruiz Nancy Niemaseck RMANJ Nurses Physicians Paul Bergh Michael Bohrer Maria Costantini Michael Drews Eric Forman Rita Gulati Doreen Hock Kathleen Hong Thomas Kim Marcy Maguire Thomas Molinaro Jamie Morris Eli Rybak Wendy Schillings Shefali Shastri Fellows Marie Werner Jason Franasiak Caroline Juneau FEC Rebekah Zimmerman Brynn Levy Lindsey McBain Heather Garnsey Andrew Behrens Sylvia Kloskowski Erica Vuu The Treff Laboratory Nathan Treff Xin Tao Agnes Lonczak David Gabriele Chelsea Bohrer Tori Gartmond Margaret Lebiedzinski Oksana Bendarsky Mariya Rozov Anna Czyrsznic Kay Green, MD Meir Olcha, MD David Goodrich Bioinformatics Deanne Taylor Jessica Landis Yuanchao Zhang