Literature DB >> 32386059

Maternal plasma genome-wide cell-free DNA can detect fetal aneuploidy in early and recurrent pregnancy loss and can be used to direct further workup.

Yuval Yaron1,2, Montse Pauta3, Celia Badenas3, Anna Soler3, Virginia Borobio3, Carmen Illanes3, Fernanda Paz-Y-Miño3, Raigam Martinez-Portilla3, Antoni Borrell3,4.   

Abstract

STUDY QUESTION: Can maternal plasma cell-free DNA (cfDNA) detect chromosomal anomalies in early pregnancy loss (EPL) and recurrent pregnancy loss (RPL)? SUMMARY ANSWER: Genome-wide cfDNA testing can serve as an alternative to cytogenetic analysis in products of conception (POCs) in RPLs and can guide further management. WHAT IS KNOWN ALREADY: Random chromosomal anomalies are the single most common cause for EPL and RPL. Cytogenetic analysis in POCs may be used to direct management in RPL because the detection of random chromosomal anomalies can eliminate further unwarranted testing. STUDY DESIGN, SIZE, DURATION: This was a prospective diagnostic test study from March 2018 to January 2019 of 109 patients experiencing pregnancy loss before 14 weeks gestation at a tertiary-care academic medical center. PARTICIPANTS/MATERIALS, SETTING,
METHODS: Blood samples were drawn for genome-wide cfDNA testing prior to chorionic villous sampling for cytogenetic analysis of POCs with both short-term cultures (STCs) and long-term cultures (LTCs). Final analysis included 86 patients with non-mosaic cytogenetic results in POCs and available cfDNA results. Aneuploidy detection rates by cfDNA testing and POC cytogenetic analysis were compared. The first 50 samples served as the Training Set to establish pregnancy loss-specific log-likelihood ratio (LLR) thresholds using receiver-operator characteristic (ROC)-like analyses. These were then used for the entire cohort. MAIN RESULTS AND THE ROLE OF CHANCE: Seventy-eight samples (71.5%) had results available from both STC and LTC; 12 samples (11%) had a result from STC only, and 7 samples (6.4%) had a result from LTC only. A chromosomal anomaly was detected in 55/86 (64%). The rates of chromosomal anomalies were 61, 72, 73 and 44% in patients undergoing their first, second, third and ≥4th pregnancy losses, respectively. The median cfDNA fetal fraction was 5%. With standard LLR thresholds used for noninvasive prenatal screening, the sensitivity of cfDNA in detecting aneuploidy was 55% (30/55) and with a specificity of 100% (31/31). Using pregnancy loss-specific LLR thresholds, the sensitivity of cfDNA in detecting aneuploidy was 82% (45/55), with a specificity of 90% (28/31). The positive and negative likelihood ratios were 8.46 and 0.20, respectively. Fetal sex was correctly assigned in all cases. LIMITATIONS, REASONS FOR CAUTION: Cases with a false-positive result by cfDNA analysis would not receive the indicated RPL workup. Specificity could be improved by using a fetal fraction (FF) cutoff of 4%, but this would result in exclusion of more than a quarter of cases. WIDER IMPLICATIONS OF THE
FINDINGS: cfDNA-based testing can serve as an alternative to POC cytogenetic analysis and can guide further RPL management: if cfDNA demonstrates aneuploidy, no further action is taken and if no abnormality is detected, the recommended RPL workup is performed. STUDY FUNDING/COMPETING INTEREST(S): Cell-free DNA testing was funded by Illumina, Inc., San Diego, CA. Y.Y. is a member of Illumina's Clinical Expert Panel and has received travel grants. A.B. has received travel grants from Illumina. All authors have no competing interest to declare.
© The Author(s) 2020. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology.

Entities:  

Keywords:  aneuploidy; cell-free DNA; chromosome anomalies; noninvasive; recurrent pregnancy loss

Mesh:

Substances:

Year:  2020        PMID: 32386059      PMCID: PMC7259365          DOI: 10.1093/humrep/deaa073

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


Introduction

The etiological investigations of recurrent pregnancy loss (RPL) consists of peripheral karyotype analysis of the parents; screening for lupus anticoagulant, anticardiolipin antibodies and anti beta2-glycoprotein; sonohysterogram, hysterosalpingogram or hysteroscopy to assess the uterine cavity; and screening for thrombophilias, thyroid or prolactin abnormalities (RCOG, 2011; ASRM, 2012; ESHRE, 2018). This workup is costly and identifies an explanation in less than half of the cases (Popescu ). It is well established that 50–70% of early pregnancy losses (EPLs) are caused by numeric chromosomal anomalies, mostly trisomies, monosomies and polyploidy (Lathi ; Goldstein ; Soler ). However, even in RPLs, random chromosomal anomalies constitute the single most common etiology (Stephenson ; Lathi ; Goldstein ; Soler ). Only ~4% are due to unbalanced chromosomal rearrangements inherited from a parent carrying a balanced chromosomal rearrangement (Stephenson and Kutteh, 2007; Jaslow ; Tunc ). Several studies have therefore suggested that product of conception (POC) karyotype analysis should be used to direct further management in RPLs, because the detection of random chromosomal anomalies could be cost-effective by eliminating further unwarranted testing (Bernardi ; Petracchi ; Popescu ). However, the success rate of POC karyotyping may be as low as 53% due to a 32% culture failure rate (Pauta ) and a 15% rate of maternal cell contamination (MCC) (Lathi ). A major problem for successful POC karyotyping, particularly for very early pregnancy losses, is actually identifying suitable material to test. The availability of POC specimens has also declined due to the increasing use of misoprostol for medical management of miscarriage. The use of chromosomal microarray (CMA) is associated with improved results (Pauta ). The current study was undertaken in order to assess whether maternal-plasma genome-wide cell-free DNA (cfDNA)-based testing can reliably detect chromosomal anomalies in random early and RPL.

Materials and Methods

Ethical approval

The study was approved by the Internal Review Board (IRB) at Hospital Clinic, Barcelona (IRB number HCB/2017/0726). All patients participating in the study gave their written informed consent.

Study design and participants

This was a prospective study performed at Hospital Clinic, Barcelona. During the study period (March 2018 to January 2019), all consecutive patients experiencing EPL were offered to participate. RPL was defined as ≥2 clinical pregnancy losses (ESHRE, 2018). Study inclusion criteria were as follows: (i) consenting patients, >18 years of age, undergoing EPL or RPL at a sonographic gestational age < 14 weeks; (ii) blood samples with sufficient volume for testing; (iii) non-mosaic cytogenetic results available from short-term culture (STC), long-term culture (LTC) or both; and (iv) available cfDNA results. Cases of confirmed mosaicism were removed from the analysis, as is common practice in validation studies (Bianchi ; Lefkowitz ), to allow determination of the technical capabilities of the assay. These cases were analyzed separately.

Ultrasound measurements

The standard protocol at the Hospital Clinic Barcelona for all patients experiencing EPL and RPL includes sonographic measurements of the gestational sac and the crown-rump length (CRL) when an embryonic pole is present. The clinical gestational age is estimated based on self-reported last menstrual period (LMP). The sonographic gestational age is calculated by CRL if a fetal pole was noted. Cases with an empty sac are assigned a sonographic gestational age of 5 weeks. The estimated time-from-demise is calculated as the clinical gestational age minus sonographic gestational age. Assessment for the presence of structural abnormalities is also performed after 10 weeks.

Cytogenetic analysis

As a routine practice at the Hospital Clinic Barcelona, POCs are obtained for cytogenetic analysis by chorionic villous sampling (CVS) using a Rodeck fine forceps, prior to medical or surgical evacuation of the uterus, as previously reported (Stergiotou ; Soler ). Cytogenetic analysis of POCs is performed at the Cytogenetic Laboratory, Hospital Clinic Barcelona, and includes karyotyping on both STC and LTC.

Blood tests

Patients with pregnancy loss usually undergo tests for complete blood count and clotting factors. For the purpose of this study, quantitative beta-human chorionic gonadotropin (beta-hCG) was also tested. An additional blood sample of 20 mL was drawn into Streck® tubes for genome-wide cfDNA testing, prior to CVS.

Cell-free DNA testing

Samples were submitted for the Verifi® Plus prenatal aneuploidy screening test at the College of American Pathologists-accredited and Clinical Laboratory Improvement Act-certified Illumina Laboratory (Verinata Health, Inc., a wholly owned subsidiary of Illumina, Inc., Redwood City, CA). Verifi® Plus involves isolation of plasma from maternal whole blood samples and preparation of sequencing libraries using TruSeq DNA Nano LP kit (Illumina, Inc., San Diego, CA). Sequencing was carried out using TruSeq SBS Kit v3-HS (50 cycles) and HiSeq 2000 instrument (96 samples-plex), with single-end reads of 36 base pairs obtained and an average of 22 million reads per sample. The sequence reads are mapped to the human reference genome (hg19) using the Bowtie software program (Langmead ). Data are filtered to remove nonunique alignments and high-variation genomic regions. A log-likelihood ratio (LLR) score is then calculated by evaluating the likelihood of the observed sequence data under two competing hypotheses of ‘no aneuploidy present’ and ‘aneuploidy present’ for each chromosome; LLR scores consider the observed coverage and the estimated fetal fraction (FF) for the sample in question. Aneuploidy classification status for all chromosomes is then determined by comparing the LLR against a classification threshold; a score above the LLR threshold indicates the presence of aneuploidy. This test screens for the presence of aneuploidy on all 22 autosomes as well as for sex chromosome aneuploidy and reports sample FF. FF is determined using the SeqFF method developed by Kim . This method estimates FF by counting the number of reads aligned within specific autosomal regions and applying a weighting scheme derived from a multivariate model. FF is estimated by inferring discrete regions in the genome that are overrepresented in fetal cfDNA. Verifi® Plus uses a sample-specific quality control (QC) metric known as the individualized Fetal Aneuploidy Confidence Test (iFACT) that considers the estimated FF to determine if the system has generated sufficient sequencing coverage for each sample; samples that fail to meet this threshold do not report out a result.

Determining pregnancy loss-specific LLR thresholds

In ongoing pregnancies, even those at high risk, the likelihood of a fetal chromosome anomaly is much lower than among patients experiencing pregnancy loss. Thus, for noninvasive prenatal screening (NIPS), LLR thresholds are set relatively high to eliminate false-positive results. In contrast, in early pregnancy loss more than half of cases are expected to be aneuploid. Therefore, pregnancy loss-specific exploratory LLR thresholds were established to increase sensitivity while still maintaining a low false positive rate. These were determined using a receiver-operator characteristic (ROC)-like analyses (Supplementary Fig. S1). The first 50 samples served as the Training Set to establish a single LLR threshold for all trisomy events, a second threshold for all monosomy events and third for 45,X and 47,XXX. After applying these thresholds to the entire cohort, we slightly modified the LLR threshold for trisomy 16 to improve sensitivity without compromising specificity.

Statistical analysis

Maternal and pregnancy characteristics and data obtained from the first-trimester ultrasound examination were entered in the Statistical Package for the Social Science (SPSS) database (SPSS, Chicago, IL, USA), which was then used for statistical analyses. When missing at random, data were imputed using multiple imputations by marginal long style creating 40 subsets including all predictors, outcomes and passive variables in the analysis. The Kolmogorov–Smirnov test was used to demonstrate whether variables were normally distributed. Normally distributed variables were compared using T test and expressed as mean and standard deviation, while not normally distributed were compared using the Mann–Whitney test and expressed as median and interquartile range (IQR) or range. To determine significant differences between groups, chi-square statistics or the Fisher exact test was used to examine differences between proportions. Test for trend across ordered group was calculated by Wilcoxon-type test for trends using a nonparametric approach. Test performance was expressed as sensitivity, specificity and AUC and was compared using the DeLong test. For this proof-of-concept study, a sample size of 100 patients was chosen assuming at least 50% would have a chromosomal anomaly. A P value<0.05 was considered statistically significant. Error values shown in the text are SD.

Results

During the study period, 118 consecutive patients experiencing EPL or RPL were offered to participate in the study; 9 patients declined participation. Among the 109 consenting patients, the success rates of the cytogenetic analysis were as follows: 78 samples (71.5%) had results available from both STC and LTC; 12 samples (11%) had a result from STC only; and 7 samples (6.4%) had a result from LTC only. Of the 97 cases with cytogenetic results, there were 9 cases with mosaicism, which were not included in the final analysis. Of the remaining 88 cases, 2 did not receive cfDNA results: in one case, the tube was broken during shipping and another sample failed the presequencing DNA quantification QC threshold. The final analysis included 86 cases with complete non-mosaic cytogenetic results and available cfDNA results. The median maternal age was 37 years (range: 21–46 years). For 41 patients (48%), this was the first pregnancy loss; 25 (29%) were undergoing their second loss, 11 (13%) were having their third loss and 9 (10%) experienced four or more losses. The mean clinical gestational age was 9.6 ± 1.9 weeks (range: 5.1–13.6 weeks) and the mean sonographic gestational age was 6.4 ± 1.6 weeks (range: 5.0–11.3 weeks). The mean estimated time from embryo demise was 3.3 ± 1.9 weeks. A chromosomal anomaly was detected in 64% (55/86). Patient characteristics among those with and without a chromosomal anomaly are presented in Table I. As expected, the rate of chromosomal anomalies increased with maternal age, from 25% (1/4) in patients 25 years of age or younger to 90% (9/10) in patients over 40 years of age (Table II). The same trend was observed when restricted to RPL patients. The rate of chromosomal anomalies was not significantly different between RPL patients (30/45, 67%) and those experiencing their first pregnancy loss (25/41, 61%; chi-square statistic 0.3014, P = 0.583) (Supplementary Table SI).
Table I

Patient and pregnancy characteristics.

Total (n = 86) Chromosomally abnormal (n = 55) Chromosomally normal (n = 31) P value
Maternal age [*] (years) 37 (IQR: 5)38 (IQR: 5)35 (IQR: 8)0.015
BMI 24.1 ± 4.124.7 ± 4.323.1 ± 3.40.090
Recurrent loss (%) 45 (52.3%)30 (54.5%)15 (48.4)0.583
Clinical gestational age (weeks) 9.6 ± 1.99.7 ± 1.79.3 ± 2.10.355
Sonographic gestational age (weeks) 6.4 ± 1.66.5 ± 1.56.3 ± 1.60.460
Time from embryo demise (weeks) 3.3 ± 1.93.3 ± 1.93.2 ± 1.90.899
Bleeding 36 (41.9%)26 (42.3%)10 (32.3)0.175
Sac volume * (cm) 11.7 (IQR: 26)10.9 (IQR: 26)12.4 (24.5)0.956
hCG * (mIU/mL) 20 184 (IQR: 28752)18 750 (IQR: 29114)23 552 (IQR: 24729)0.590
Medical management (%) 46 (53.5%)31 (56.4%)15 (48.4%)0.401
Fetal fraction * (%) 5% (IQR: 4%)5% (IQR: 3%)5% (IQR: 4%)0.446

*Values are median and interquartile range (IQR)

†Values are means ± SD

Table II

Rate of chromosomal anomalies in all patients and in patients with RPL according to age groups (at 5-year intervals).

Age range All patients [ * ] Patients with RPLs []
≤251/4 (25%)0/0
26–303/6 (50%)2/4 (50%)
31–3511/21 (52%)8/14 (57%)
36–4031/45 (69%)14/20 (70%)
>409/10 (90%)6/7 (86%)
Total 55/86 (64%) 30/45 (67%)

RPL, recurrent pregnancy loss

*Chi2 = 7.777; P value = 0.100.

Test for trend across groups rank-sum test: z = 2.66; P = 0.008.

†Chi2 = 2.3143. P value = 0.510.

Test for trend across groups rank-sum test: z = 1.49; P = 0.136.

Patient and pregnancy characteristics. *Values are median and interquartile range (IQR) †Values are means ± SD Rate of chromosomal anomalies in all patients and in patients with RPL according to age groups (at 5-year intervals). RPL, recurrent pregnancy loss *Chi2 = 7.777; P value = 0.100. Test for trend across groups rank-sum test: z = 2.66; P = 0.008. †Chi2 = 2.3143. P value = 0.510. Test for trend across groups rank-sum test: z = 1.49; P = 0.136. With standard LLR thresholds commonly used for NIPS, the sensitivity of cfDNA in detecting aneuploidy in pregnancy loss was 55% (30/55) with a specificity of 100% (31/31) and an accuracy of 71% (61/86) (Table III). The first 50 cases were used as a Training Set to establish pregnancy loss-specific LLR thresholds. A uniform threshold was set at 1.5 for all autosomal trisomies, a threshold of 3.5 for all autosomal monosomies and a threshold of 0.88 for 45,X and 47,XXX. After applying these LLR thresholds to the entire cohort, the LLR threshold for trisomy 16 was reset at 1.0, to improve sensitivity without compromising specificity. Using these LLR thresholds, the sensitivity of cfDNA in detecting aneuploidy was 82% (45/55), with a specificity of 90% (28/31). The area under the curve (AUC) was 86% (79–94%), which correctly classified 85% (73/86) of the observations (Table II). The positive and negative likelihood ratios were 8.46 and 0.20 respectively. Of the 31 normal cases, 28 were correctly assigned, including 14/16 of the 46,XX cases and 14/15 of the 46,XY cases. Among the three false positive cases, two had a trisomy 4 result and one case had a result of triple trisomy for chromosomes 15, 17 and 20 (Supplementary Table SII). Fetal sex was correctly assigned in all concordant cases as well as among the 13 discordant cases.
Table III

Detection rates for EPLs using maternal plasma cfDNA: standard log likelihood ration (LLR) thresholds vs. pregnancy loss-specific LLR thresholds.

Karyotype Detected by standard LLR thresholds Detected by pregnancy loss-specific LLR thresholds
Trisomy 20/11/1
Trisomy 40/11/1
Trisomy 71/11/1
Trisomy 92/22/2
Trisomy 103/43/4
Trisomy 111/11/1
Trisomy 122/22/2
Trisomy 131/22/2
Trisomy 141/11/1
Trisomy 153/55/5
Trisomy 16[*]4/108/10
Trisomy 170/11/1
Trisomy 182/22/2
Trisomy 202/43/4
Trisomy 212/22/2
Trisomy 221/43/4
Monosomy X4/76/7
Monosomy 210/10/1
Double trisomy1/21/2
Triploidy[*]0/20/2
Total 30/55 (55%) 45/55 (81.8%)

EPL, early pregnancy loss

cfDNA, cell-free DNA

*In a case of 70,XXY,+16 the trisomy 16 was detected but the triploidy was not

†One case of trisomy 16 was called 47,XXX

While most of the affected cases had a single anomaly, two cases had a double trisomy: one case of 48,XX,+15,+21 was correctly detected and another case of 48,XX,+7,+22 was a false negative. An additional case had both triploidy and trisomy 16 (70,XXY,+16) wherein only trisomy 16 was detected by cfDNA. In the entire cohort, there was only one case of an unbalanced chromosomal rearrangement: an unbalanced Robertsonian translocation resulting in trisomy 15. Parental karyotyping performed in this case was negative. Of the nine mosaic cases, only one was correctly ascertained (Supplementary Table SIII). The median FF was 5% (range <1 to 28%), the highest level detected in a case of triploidy. Among the 73 correctly classified cases, the median FF was 5% (IQR: 3%), compared to 4% (IQR: 2%) among the 13 incorrectly classified ones (Supplementary Table SII, Mann–Whitney U test, P = 0.169). Performance was evaluated with different possible FF cutoffs (<1, <2, <3 and <4%), below which cases would be excluded (Supplementary Table SIV). No improvement in sensitivity was noted for any of these thresholds compared to using no threshold at all. An improvement was noted in specificity only when a threshold of <4% FF was employed. This however resulted in exclusion of over one-quarter of samples. Similarly, we found no clinically useful cutoff value for beta-hCG levels, patient BMI or sac size. The sensitivity, specificity and AUC were similar in patients with and without bleeding at the time of testing (sensitivity 81 vs. 83%; specificity 91 vs. 90%; AUC: 85 vs. 87%, respectively; DeLong test: P = 0.877). Detection rates for EPLs using maternal plasma cfDNA: standard log likelihood ration (LLR) thresholds vs. pregnancy loss-specific LLR thresholds. EPL, early pregnancy loss cfDNA, cell-free DNA *In a case of 70,XXY,+16 the trisomy 16 was detected but the triploidy was not †One case of trisomy 16 was called 47,XXX

Discussion

In this study, 109 patients experiencing early pregnancy loss were evaluated for chromosomal anomalies by cytogenetics of POCs and maternal plasma cfDNA analysis. Of these, 86 patients met the inclusion criteria. The rate and type of chromosomal anomalies in this cohort concurs with other similar studies, as did the sex distribution, indicating that it is appropriately representative (Jaslow , Lathi ; Bernardi ; Tunc ; Goldstein ; Soler ; Popescu ). Cell-free DNA testing achieved a sensitivity of 82% and a specificity of 90%, an overall accuracy of 85%. This rate compares favorably with that of routine cytogenetic analysis of POCs (Pauta ). It is of note that pregnancy loss-specific LLR thresholds had to be established to achieve this rate of detection. To the best of our knowledge, this is the first systematic study of its kind. A few small studies evaluated the levels of fetal cfDNA in EPLs. One study found that levels of fetal cfDNA and total cfDNA were significantly higher in patients with pregnancy loss (both euploid and aneuploid) in comparison with the normal controls (Lim ). Another prospective study examined whether cfDNA can be used for diagnosis in nonviable pregnancies at all gestational ages and found that 76% had FFs within the detectable range (>3.7%) (Clark-Ganheart ). They recommended that cfDNA be used only after 8 weeks of gestation when FF is expected to be above their suggested cutoff in most cases. In that study, however, prior cytogenetic analysis or analysis of POCs was only available in 38% of cases. In contrast, we found no clinically useful cutoff for exclusion of low FF cases and cfDNA testing yielded results even before 8 weeks and at low FFs. This is in accordance with previous publications demonstrating that genome-wide sequencing for cfDNA analysis has >80% sensitivity for trisomies even in low FF samples (Artieri ). The high rate of successful genetic POC analysis (97/109, 89%) achieved here was through a combination of meticulous CVS prior to uterine evacuation, followed by cytogenetic analysis of both STC and LTC. This degree of lab effort is not characteristic of most routine centers, and the realistic success rate of karyotype analysis of POCs may be as low as 53% (Pauta ). Other limitations of cytogenetic analysis of POCs include failed culture due to contamination or the extraction of nonviable tissue. This may be overcome, to some extent, by the use of SNP-based chromosomal microarray analysis (CMA) that obviates the need for culture while concurrently detecting MCC (Liu ; Pauta ). Consistent with this, the aforementioned meta-analysis showed that CMA improved POC analysis success rates by 27% (from 68 to 95%). However, the incremental yield of CMA in detecting pathogenic submicroscopic variants undetectable by karyotyping was only 2% (106/5507) (Pauta ). Regardless of the technology used for POC analysis, obtaining a POC sample is challenging: some patients miscarry before a proper sample is obtained. Moreover, many patients with an early missed abortion now undergo medical management using misoprostol, rather than surgical extraction (Wu ). Indeed, in our series, 55% of the patients were managed medically. For such cases, a tissue-collection kit has been developed but its success rate in obtaining a proper sample is lower than that of surgical extraction (84 vs 100%, respectively) (Kucherov ). The etiological investigations of RPLs have traditionally not centered on the abortus. Except for karyotyping both parents to screen for chromosomal rearrangements, most have focused on defects in the female partner, namely congenital or acquired uterine abnormalities, autoimmune factors, endocrine imbalances and thrombophilia (Jaslow , Stephenson and Kutteh, 2007). More recently, several groups challenged this approach and promoted the concept that RPL workup should be guided by genetic analysis of POCs (Bernardi ; Kutteh 2015; Petracchi ; Popescu ). Their suggested model stipulates that genetic analysis of POCs be performed in the second and subsequent pregnancy loss: if aneuploidy is demonstrated, no further evaluation is needed; if an unbalanced chromosomal rearrangement (such as a translocation or inversion) is detected, parental karyotyping is performed; and if no chromosomal aberration is detected and MCC has been ruled out, then the American Society for Reproductive Medicine (ASRM) RPL workup should be performed. With this approach, a definitive or probable cause for RPL could be identified in 95% of cases, compared with 45% using the classical approach (Popescu ). This approach has been shown to produce cost savings of around $1100 per case by eliminating unnecessary investigations (Wolf and Horger, 1995; Bernardi ; Petracchi ). Finally, Popescu ) calculated that if POC genetic analysis was used to guide workup, the total cost to make a diagnosis would be $1879.16 per patient whereas if the ASRM RPL evaluation were performed for all RPL patients, the total cost to make a diagnosis would be $3866.84 per patient. Proposed algorithm for recurrent pregnancy loss workup based on cfDNA results. cfDNA, cell-free DNA; RPL, recurrent pregnancy loss. Based on our results and these cost-effectiveness analyses, we suggest an alternative, modified algorithm for RPL evaluation, guided by cfDNA results rather than karyotyping or CMA analysis of POCs (Fig. 1): if cfDNA in the second and subsequent RPL demonstrates aneuploidy, no further action is taken; and if no abnormality is detected, then the recommended RPL workup is performed. While speculative as regards this cohort, cfDNA testing can also detect unbalanced rearrangements such as unbalanced reciprocal translocations, provided they are of a substantial size (Lefkowitz ; Van Opstal ; Wapner ; Hu ). When detected, this would be the only direct prompt for parental karyotyping. If an unbalanced rearrangement is not detected by cfDNA testing, parental karyotyping would be performed, at any rate, as a part of the recommended RPL workup, and thus a carrier parent would not be missed. For trisomies involving the acrocentric chromosomes (13, 14, 15, 21 and 22), one could still consider the rare occurrence of an unbalanced Robertsonian translocation, which may be detected on parental karyotyping, but these would account for ~0.5% of cases (Soler ). A result compatible with other random trisomies (such as the common trisomy 16) would clearly obviate parental karyotyping.
Figure 1

Proposed algorithm for recurrent pregnancy loss workup based on cfDNA results. cfDNA, cell-free DNA; RPL, recurrent pregnancy loss.

In our series, a positive result for a chromosomal aberration was given in 48 cases (56%), 45 of which were true positives, for a positive predictive value (PPV) of 94%. This implies that in more than half of the cases, the RPL workup would be averted, because a definite cause for miscarriage had been revealed. Conversely, in those with a negative result, the yield of standard RPL workup would expectedly be higher. Nonetheless, the approach suggested in this proof-of-concept study has several limitations: an important implication is that cases with a false-positive result by cfDNA analysis would not receive the indicated RPL workup, and a biological explanation for the loss may not be identified. A larger cohort may promote additional refinement of chromosome-specific LLR thresholds to further improve cfDNA test performance. Specificity could be improved by using an FF cutoff of 4%, but in this case more than a quarter of the cases would be excluded. This approach is also unable to discriminate true fetal monosomy X from low-grade, maternal monosomy X mosaicism, which increases with maternal age (Machiela ). This is a potential source of false positive results in as much as 8.6% of sex chromosome anomalies reported by NIPS (Wang ). This issue may be overcome by employing paired-end sequencing, which enables determination of cfDNA fragment length, as fetal cfDNA fragments are generally shorter than the corresponding maternal ones (Yu ). This methodology allows deduction of FF as well as improvement in the sensitivity and specificity of autosomal aneuploidy as well as of monosomy X. Another limitation of genome-wide cfDNA sequencing is that it does not detect triploidy, the incidence of which was 3.4% in our series but may account for 8% of cases (Soler ). Such missed cases of triploidy however would undergo the standard RPL workup with no contribution to cost-savings. Despite these limitations, cfDNA testing could prove to be of value particularly in cases where medical management is used and in the absence of POC sample for cytogenetic analysis. Finally, cfDNA testing may also be used in sporadic EPLs. While not significantly impacting further clinical management, it is likely to have a positive influence on patient well-being. The psychological impact of EPL is often neglected. Farren et al. have recently found evidence of significant depression and anxiety in the first month following EPL in women (Farren ). For some patients, knowing that the cause for loss is chromosomal rather than maternal may provide comfort. In summary, genome-wide cfDNA-based screening provides a noninvasive approach for determining whether fetal aneuploidy could explain the loss in patients experiencing early or RPL.

Supplementary data

Supplementary data are available at Human Reproduction online. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file.
  33 in total

1.  Is chromosome testing of the second miscarriage cost saving? A decision analysis of selective versus universal recurrent pregnancy loss evaluation.

Authors:  Lia A Bernardi; Beth A Plunkett; Mary D Stephenson
Journal:  Fertil Steril       Date:  2012-04-18       Impact factor: 7.329

2.  Indications for examination of spontaneous abortion specimens: a reassessment.

Authors:  G C Wolf; E O Horger
Journal:  Am J Obstet Gynecol       Date:  1995-11       Impact factor: 8.661

3.  Transcervical chorionic villus sampling: a practical guide.

Authors:  Iosifina Stergiotou; Virginia Borobio; Mar Bennasar; Anna Goncé; Raquel Mula; Mohammed Nuruddin; Anna Soler; Antoni Borrell
Journal:  J Matern Fetal Neonatal Med       Date:  2015-06-11

Review 4.  Novel strategies for the management of recurrent pregnancy loss.

Authors:  William H Kutteh
Journal:  Semin Reprod Med       Date:  2015-06-02       Impact factor: 1.303

5.  Cost-effectiveness of cytogenetic evaluation of products of conception by chorionic villus sampling in recurrent miscarriage.

Authors:  Florencia Petracchi; Cecilia Paez; Laura Igarzabal
Journal:  Prenat Diagn       Date:  2017-02-10       Impact factor: 3.050

6.  Cytogenetic analysis of miscarriages from couples with recurrent miscarriage: a case-control study.

Authors:  M D Stephenson; K A Awartani; W P Robinson
Journal:  Hum Reprod       Date:  2002-02       Impact factor: 6.918

7.  Recurrent pregnancy loss evaluation combined with 24-chromosome microarray of miscarriage tissue provides a probable or definite cause of pregnancy loss in over 90% of patients.

Authors:  F Popescu; C R Jaslow; W H Kutteh
Journal:  Hum Reprod       Date:  2018-04-01       Impact factor: 6.918

Review 8.  The psychological impact of early pregnancy loss.

Authors:  Jessica Farren; Nicola Mitchell-Jones; Jan Y Verbakel; Dirk Timmerman; Maria Jalmbrant; Tom Bourne
Journal:  Hum Reprod Update       Date:  2018-11-01       Impact factor: 15.610

9.  Noninvasive prenatal testing for chromosome aneuploidies and subchromosomal microdeletions/microduplications in a cohort of 8141 single pregnancies.

Authors:  Hua Hu; Li Wang; Jiayan Wu; Peng Zhou; Jingli Fu; Jiuchen Sun; Weiyi Cai; Hailiang Liu; Ying Yang
Journal:  Hum Genomics       Date:  2019-03-12       Impact factor: 4.639

10.  Cell-free fetal DNA and cell-free total DNA levels in spontaneous abortion with fetal chromosomal aneuploidy.

Authors:  Ji Hyae Lim; Min Hyoung Kim; You Jung Han; Da Eun Lee; So Yeon Park; Jung Yeol Han; Moon Young Kim; Hyun Mee Ryu
Journal:  PLoS One       Date:  2013-02-15       Impact factor: 3.240

View more
  7 in total

1.  Can cell-free DNA (cfDNA) testing alleviate psychological distress in early miscarriage? A commentary.

Authors:  Shadin Zayyad; Renee Liang; Abigail Ford Winkel; David L Keefe; Gwendolyn P Quinn
Journal:  J Assist Reprod Genet       Date:  2022-06-01       Impact factor: 3.357

2.  A fetal fraction enrichment method reduces false negatives and increases test success rate of fetal chromosome aneuploidy detection in early pregnancy loss.

Authors:  Longwei Qiao; Bin Zhang; Xiaojuan Wu; Chunhua Zhang; Ying Xue; Hui Tang; Haoyu Tang; Jingye Shi; Yuting Liang; Bin Yu; Ting Wang
Journal:  J Transl Med       Date:  2022-08-02       Impact factor: 8.440

3.  Cell-Free DNA in the Investigation of Miscarriage.

Authors:  Emily Colley; Adam J Devall; Helen Williams; Susan Hamilton; Paul Smith; Neil V Morgan; Siobhan Quenby; Arri Coomarasamy; Stephanie Allen
Journal:  J Clin Med       Date:  2020-10-26       Impact factor: 4.241

Review 4.  Chances and Challenges of New Genetic Screening Technologies (NIPT) in Prenatal Medicine from a Clinical Perspective: A Narrative Review.

Authors:  Ivonne Bedei; Aline Wolter; Axel Weber; Fabrizio Signore; Roland Axt-Fliedner
Journal:  Genes (Basel)       Date:  2021-03-29       Impact factor: 4.096

Review 5.  Genetic Testing for Aneuploidy in Patients Who Have Had Multiple Miscarriages: A Review of Current Literature.

Authors:  Ralph S Papas; William H Kutteh
Journal:  Appl Clin Genet       Date:  2021-07-23

Review 6.  Cell-free fetal DNA coming in all sizes and shapes.

Authors:  Rossa W K Chiu; Y M Dennis Lo
Journal:  Prenat Diagn       Date:  2021-05-07       Impact factor: 3.050

7.  Economic impact of using maternal plasma cell-free DNA testing to guide further workup in recurrent pregnancy loss.

Authors:  Siyang Peng; Sucheta Bhatt; Antoni Borrell; Yuval Yaron
Journal:  Prenat Diagn       Date:  2021-05-24       Impact factor: 3.050

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.