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Soster E, Tynan J, Gibbons C, Meschino W, Wardrop J, Almasri E, Schwartz S, McLennan G. Laboratory performance of genome-wide cfDNA for copy number variants as compared to prenatal microarray. Mol Cytogenet 2023; 16:10. [PMID: 37301962 DOI: 10.1186/s13039-023-00642-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Noninvasive prenatal testing (NIPT) allows for screening of fetal aneuploidy and copy number variants (CNVs) from cell-free DNA (cfDNA) in maternal plasma. Professional societies have not yet embraced NIPT for fetal CNVs, citing a need for additional performance data. A clinically available genome-wide cfDNA test screens for fetal aneuploidy and CNVs larger than 7 megabases (Mb). RESULTS This study reviews 701 pregnancies with "high risk" indications for fetal aneuploidy which underwent both genome-wide cfDNA and prenatal microarray. For aneuploidies and CNVs considered 'in-scope' for the cfDNA test (CNVs ≥ 7 Mb and select microdeletions), sensitivity and specificity was 93.8% and 97.3% respectively, with positive and negative predictive values of 63.8% and 99.7% as compared to microarray. When including 'out-of-scope' CNVs on array as false negatives, the sensitivity of cfDNA falls to 48.3%. If only pathogenic out-of-scope CNVs are treated as false negatives, the sensitivity is 63.8%. Of the out-of-scope CNVs identified by array smaller than 7 Mb, 50% were classified as variants of uncertain significance (VUS), with an overall VUS rate in the study of 2.29%. CONCLUSIONS While microarray provides the most robust assessment of fetal CNVs, this study suggests that genome-wide cfDNA can reliably screen for large CNVs in a high-risk cohort. Informed consent and adequate pretest counseling are essential to ensuring patients understand the benefits and limitations of all prenatal testing and screening options.
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Affiliation(s)
| | - John Tynan
- Labcorp®, La Jolla, CA, USA
- PetDx, The Center for Novel Therapeutics, La Jolla, CA, USA
| | - Clare Gibbons
- Genetics Program, North York General Hospital, Toronto, ON, Canada
| | - Wendy Meschino
- Genetics Program, North York General Hospital, Toronto, ON, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON, Canada
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2
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Demko Z, Prigmore B, Benn P. A Critical Evaluation of Validation and Clinical Experience Studies in Non-Invasive Prenatal Testing for Trisomies 21, 18, and 13 and Monosomy X. J Clin Med 2022; 11:jcm11164760. [PMID: 36012999 PMCID: PMC9410356 DOI: 10.3390/jcm11164760] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/28/2022] [Accepted: 08/11/2022] [Indexed: 11/25/2022] Open
Abstract
Non-invasive prenatal testing (NIPT) for trisomies 21, 18, 13 and monosomy X is widely utilized with massively parallel shotgun sequencing (MPSS), digital analysis of selected regions (DANSR), and single nucleotide polymorphism (SNP) analyses being the most widely reported methods. We searched the literature to find all NIPT clinical validation and clinical experience studies between January 2011 and January 2022. Meta-analyses were performed using bivariate random-effects and univariate regression models for estimating summary performance measures across studies. Bivariate meta-regression was performed to explore the influence of testing method and study design. Subgroup and sensitivity analyses evaluated factors that may have led to heterogeneity. Based on 55 validation studies, the detection rate (DR) was significantly higher for retrospective studies, while the false positive rate (FPR) was significantly lower for prospective studies. Comparing the performance of NIPT methods for trisomies 21, 18, and 13 combined, the SNP method had a higher DR and lower FPR than other methods, significantly so for MPSS, though not for DANSR. The performance of the different methods in the 84 clinical experience studies was consistent with validation studies. Clinical positive predictive values of all NIPT methods improved over the last decade. We conclude that all NIPT methods are highly effective for fetal aneuploidy screening, with performance differences across methodologies.
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Affiliation(s)
| | | | - Peter Benn
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT 06030, USA
- Correspondence:
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3
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GenomeMixer and TRUST: Novel bioinformatics tools to improve reliability of Non-Invasive Prenatal Testing (NIPT) for fetal aneuploidies. Comput Struct Biotechnol J 2022; 20:1028-1035. [PMID: 35242293 PMCID: PMC8881690 DOI: 10.1016/j.csbj.2022.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/27/2022] [Accepted: 02/17/2022] [Indexed: 12/02/2022] Open
Abstract
Non-invasive prenatal testing (NIPT) screens for common fetal chromosomal abnormalities through analysis of circulating cell-free DNA in maternal blood by massive parallel sequencing. NIPT reliability relies on both the estimation of the fetal fraction (ff) and on the sequencing depth (sd) but how these parameters are linked is unknown. Several bioinformatics tools have been developed to determine the ff but there is no universal ff threshold applicable across diagnostics laboratories. Thus, we developed two tools allowing the implementation of a strategy for NIPT results validation in clinical practice: GenomeMixer, a semi-supervised approach to create synthetic sequences and to estimate confidence intervals for NIPT validation and TRUST to estimate the reliability of NIPT results based on confidence intervals found in this study. We retrospectively validated these new tools on 2 cohorts for a total of 1439 samples with 31 confirmed aneuploidies. Through the analysis of the interrelationship between ff, sd and chromosomal aberration detection, we demonstrate that these parameters are profoundly connected and cannot be considered independently. Our tools take in account this critical relationship to improve NIPT reliability and facilitate cross laboratory standardization of this screening test.
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4
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Jensen TJ, Goodman AM, Ellison CK, Holden KA, Kato S, Kim L, Daniels GA, Fitzgerald K, McCarthy E, Nakashe P, Mazloom AR, Almasri E, McLennan G, Grosu DS, Eisenberg M, Kurzrock R. Genome-wide Sequencing of Cell-free DNA Enables Detection of Copy-number Alterations in Patients with Cancer Where Tissue Biopsy is Not Feasible. Mol Cancer Ther 2021; 20:2274-2279. [PMID: 34465593 PMCID: PMC9398131 DOI: 10.1158/1535-7163.mct-20-1066] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 03/03/2021] [Accepted: 08/20/2021] [Indexed: 01/07/2023]
Abstract
When tissue biopsy is not medically prudent or tissue is insufficient for molecular testing, alternative methods are needed. Because cell-free DNA (cfDNA) has been shown to provide a representative surrogate for tumor tissue, we sought to evaluate its utility in this clinical scenario. cfDNA was isolated from the plasma of patients and assayed with low-coverage (∼0.3×), genome-wide sequencing. Copy-number alterations (CNA) were identified and characterized using analytic methods originally developed for noninvasive prenatal testing (NIPT) and quantified using the genomic instability number (GIN), a metric that reflects the quantity and magnitude of CNAs across the genome. The technical variability of the GIN was first evaluated in an independent cohort comprising genome-wide sequencing results from 27,754 women who consented to have their samples used for research and whose NIPT results yielded no detected CNAs to establish a detection threshold. Subsequently, cfDNA sequencing data from 96 patients with known cancers but for whom a tissue biopsy could not be obtained are presented. An elevated GIN was detected in 35% of patients and detection rates varied by tumor origin. Collectively, CNAs covered 96.6% of all autosomes. Survival was significantly reduced in patients with an elevated GIN relative to those without. Overall, these data provide a proof of concept for the use of low-coverage, genome-wide sequencing of cfDNA from patients with cancer to obtain relevant molecular information in instances where tissue is difficult to access. These data may ultimately serve as an informative complement to other molecular tests.
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Affiliation(s)
- Taylor J. Jensen
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California.,Laboratory Corporation of America, Durham, North Carolina.,Corresponding Author: Taylor J. Jensen, Research and Development, Laboratory Corporation of America, 1912 TW Alexander, Durham, NC 27703. Phone: 858-242-6842; E-mail:
| | - Aaron M. Goodman
- Department of Medicine, Division of Hematology/Oncology, and Center for Personalized Cancer Therapy, Moores Cancer Center, University of California, San Diego.,Department of Medicine, Division of Blood and Marrow Transplantation, Moores Cancer Center, University of California, San Diego
| | - Christopher K. Ellison
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California
| | - Kimberly A. Holden
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California
| | - Shumei Kato
- Department of Medicine, Division of Hematology/Oncology, and Center for Personalized Cancer Therapy, Moores Cancer Center, University of California, San Diego.,Department of Medicine, Division of Precision Medicine, Moores Cancer Center, University of California, San Diego
| | - Lisa Kim
- Department of Medicine, Division of Hematology/Oncology, and Center for Personalized Cancer Therapy, Moores Cancer Center, University of California, San Diego
| | - Gregory A. Daniels
- Department of Medicine, Division of Hematology/Oncology, and Center for Personalized Cancer Therapy, Moores Cancer Center, University of California, San Diego
| | - Kerry Fitzgerald
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California
| | - Erin McCarthy
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California
| | - Prachi Nakashe
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California
| | - Amin R. Mazloom
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California
| | - Eyad Almasri
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California
| | - Graham McLennan
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California
| | - Daniel S. Grosu
- Sequenom, Inc, a wholly owned subsidiary of Laboratory Corporation of America Holdings, San Diego, California
| | | | - Razelle Kurzrock
- Department of Medicine, Division of Hematology/Oncology, and Center for Personalized Cancer Therapy, Moores Cancer Center, University of California, San Diego.,Department of Medicine, Division of Precision Medicine, Moores Cancer Center, University of California, San Diego
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5
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Goodman AM, Holden KA, Jeong AR, Kim L, Fitzgerald KD, Almasri E, McLennan G, Eisenberg M, Jahromi AH, Hoh C, Hurley M, Mulroney C, Tzachanis D, Ball ED, Jensen TJ, Kurzrock R. Assessing CAR T-Cell Therapy Response Using Genome-Wide Sequencing of Cell-Free DNA in Patients With B-Cell Lymphomas. Transplant Cell Ther 2021; 28:30.e1-30.e7. [PMID: 34655803 DOI: 10.1016/j.jtct.2021.10.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/09/2021] [Accepted: 10/06/2021] [Indexed: 10/20/2022]
Abstract
Methods that enable monitoring of therapeutic efficacy of autologous chimeric antigen receptor (CAR) T-cell therapy will be clinically useful. The aim of this study is to demonstrate the feasibility of blood-derived cell-free DNA (cfDNA) to predict CAR T-cell therapy response in patients with refractory B-cell lymphomas. Whole blood was collected before and throughout CAR T-cell therapy until day 154. Low-coverage (∼0.4×), genome-wide cfDNA sequencing, similar to that established for noninvasive prenatal testing, was performed. The genomic instability number (GIN) was used to quantify plasma copy number alteration level. Twelve patients were enrolled. Seven (58%) patients achieved a complete response (CR); 2 (25%), a partial response. Median progression-free survival was 99 days; median overall survival was not reached (median follow-up, 247 days). Altogether, 127 blood samples were analyzed (median, 10 samples/patient [range 8-13]). All 5 patients who remained in CR at the time of last measurement had GIN <170 (threshold). Two patients who attained CR, but later relapsed, and all but one patient who had best response other than CR had last GIN measurement of >170. In 5 of 6 patients with relapsed or progressive disease, increasing GIN was observed before the diagnosis by imaging. The abundance of CAR T-cell construct (absolute number of construct copies relative to the number of human genome equivalents) also showed a trend to correlate with outcome (day 10, P = .052). These data describe a proof-of-concept for the use of multiple liquid biopsy technologies to monitor therapeutic response in B-cell lymphoma patients receiving CAR T-cell therapy.
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Affiliation(s)
- Aaron M Goodman
- Department of Medicine, Division of Blood and Marrow Transplantation, University of California San Diego, La Jolla, California.
| | | | - Ah-Reum Jeong
- Department of Medicine, Division of Hematology/Oncology, University of California San Diego, La Jolla, California
| | - Lisa Kim
- Laboratory Corporation of America, San Diego, California
| | | | - Eyad Almasri
- Laboratory Corporation of America, San Diego, California
| | | | | | - Amin H Jahromi
- Department of Radiology, University of California San Diego, La Jolla, California
| | - Carl Hoh
- Department of Radiology, University of California San Diego, La Jolla, California
| | - Michael Hurley
- Department of Medicine, Division of Blood and Marrow Transplantation, University of California San Diego, La Jolla, California
| | - Carolyn Mulroney
- Department of Medicine, Division of Blood and Marrow Transplantation, University of California San Diego, La Jolla, California
| | - Dimitrios Tzachanis
- Department of Medicine, Division of Blood and Marrow Transplantation, University of California San Diego, La Jolla, California
| | - Edward D Ball
- Department of Medicine, Division of Blood and Marrow Transplantation, University of California San Diego, La Jolla, California
| | - Taylor J Jensen
- Laboratory Corporation of America, San Diego, California; Laboratory Corporation of America, Durham, North Carolina
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6
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Qu L, Wu Q, Yang X, Wang W, Xu B, Shan G, Liang L, Wang S, Zhang J. Adaptive parameter of standard deviation enhances the power of noninvasive prenatal screens. J Matern Fetal Neonatal Med 2021; 35:6356-6362. [PMID: 33910452 DOI: 10.1080/14767058.2021.1912001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE Traditional Z-test methods during noninvasive prenatal screens (NIPS) use the fixed parameter of standard deviation (SD), which ignores the influence of actual sequencing read counts of a sample on the results. The aim of this study is to eliminate the influence of the sequencing depth of individual samples on the results and enhance the power of NIPS. METHODS In this study, we propose an improved NIPS method, which calculates the SD in the Z-score process adaptively according to the actual read count of the test sample. Our approach obtained the SD linear fitting function along with the read count with a large number of reference samples, in which SD and read count fit well. The effectiveness of our enhanced NIPS method was evaluated on three common trisomy syndromes and five recurrent CNV syndromes with 3219 and 6592 samples based on whole genome sequencing of maternal peripheral blood. RESULTS A total of 3,219 pregnant samples have been used for validating the proposed method on detecting fetal trisomy syndromes (T13, T18, and T21), in which eight false negative (FN) samples have been corrected as true positive (TP) and eight false positive (FP) samples have been fixed as true negative (TN) with our proposed adaptive-SD method. Another 6592 samples were used to compare the two methods on detecting five recurrent fetal copy number variation (CNV) syndromes, in which the FP samples have decreased from 99 to 39. CONCLUSIONS Our adaptive-SD NIPS method shows more power on detecting both trisomy syndromes and five recurrent CNVs in the pregnant samples with diverse read counts. Besides, our proposed method contributes to lower FP and FN samples than the traditional Z-test method in NIPS. Our results show that our enhanced NIPS methods are effective in detecting both abnormal fetal trisomy syndromes and recurrent CNV syndromes in pregnant women.
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Affiliation(s)
- Li Qu
- Beijing USCI Medical Laboratory, Beijing, China
| | - Qixi Wu
- Beijing USCI Medical Laboratory, Beijing, China
| | - Xiaoke Yang
- Department of Gynecology and Obstetrics, Beijing Hospital, National Center for Geriatrics, Beijing, China
| | - Weiwei Wang
- Beijing USCI Medical Laboratory, Beijing, China
| | - Bing Xu
- Beijing USCI Medical Laboratory, Beijing, China
| | | | - Lin Liang
- Department of Gynecology and Obstetrics, Beijing Hospital, National Center for Geriatrics, Beijing, China
| | - Shaowei Wang
- Department of Gynecology and Obstetrics, Beijing Hospital, National Center for Geriatrics, Beijing, China
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7
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Nakamura N, Sasaki A, Mikami M, Nishiyama M, Akaishi R, Wada S, Ozawa N, Sago H. Nonreportable rates and cell-free DNA profiles in noninvasive prenatal testing among women with heparin treatment. Prenat Diagn 2020; 40:838-845. [PMID: 32274797 DOI: 10.1002/pd.5695] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 03/23/2020] [Accepted: 03/28/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVE To evaluate the "nonreportable" rate in patients treated with heparin and to determine the effect of heparin on the results of noninvasive prenatal testing (NIPT). METHOD This was a single-center retrospective study of NIPT. The "nonreportable" rate of NIPT was evaluated according to presence or absence of heparin treatment. After excluding true-positive cases, a matched cohort study evaluating Z-scores, GC bias, and cell-free DNA (cfDNA) profiles was performed to investigate the effect of heparin on NIPT results. RESULTS Overall, 2651 singleton pregnancies with available clinical information were evaluated; 23 mothers were treated with heparin. The nonreportable rate was much higher among patients treated with heparin than among those who were not (8.70% vs 0.15%). In the matched cohort study, the Z-scores for chromosomes 13, 18, and 21, and GC bias were significantly higher in the heparin group than in the matched control group. Based on cfDNA library electrophoresis data, the proportion of short-sized cfDNA was higher in the heparin group. CONCLUSION Heparin use increased the nonreportable rate of NIPT results by borderline Z-scores, possibly caused by the increased proportions of shorter and GC-rich cfDNA fragments. This information will be helpful for prenatal genetic counseling for patients requiring heparin treatment.
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Affiliation(s)
- Noriyuki Nakamura
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Aiko Sasaki
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Masashi Mikami
- Division of Biostatistics, Clinical Research Center, National Center for Child Health and Development, Tokyo, Japan
| | - Miyuki Nishiyama
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Rina Akaishi
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Seiji Wada
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Nobuaki Ozawa
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Haruhiko Sago
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, Tokyo, Japan
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8
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Budis J, Gazdarica J, Radvanszky J, Szucs G, Kucharik M, Strieskova L, Gazdaricova I, Harsanyova M, Duris F, Minarik G, Sekelska M, Nagy B, Turna J, Szemes T. Combining count- and length-based z-scores leads to improved predictions in non-invasive prenatal testing. Bioinformatics 2020; 35:1284-1291. [PMID: 30219853 DOI: 10.1093/bioinformatics/bty806] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 08/16/2018] [Accepted: 09/13/2018] [Indexed: 02/06/2023] Open
Abstract
MOTIVATION Non-invasive prenatal testing or NIPT is currently among the top researched topic in obstetric care. While the performance of the current state-of-the-art NIPT solutions achieve high sensitivity and specificity, they still struggle with a considerable number of samples that cannot be concluded with certainty. Such uninformative results are often subject to repeated blood sampling and re-analysis, usually after two weeks, and this period may cause a stress to the future mothers as well as increase the overall cost of the test. RESULTS We propose a supplementary method to traditional z-scores to reduce the number of such uninformative calls. The method is based on a novel analysis of the length profile of circulating cell free DNA which compares the change in such profiles when random-based and length-based elimination of some fragments is performed. The proposed method is not as accurate as the standard z-score; however, our results suggest that combination of these two independent methods correctly resolves a substantial portion of healthy samples with an uninformative result. Additionally, we discuss how the proposed method can be used to identify maternal aberrations, thus reducing the risk of false positive and false negative calls. AVAILABILITY AND IMPLEMENTATION The open-source code of the proposed methods, together with test data, is freely available for non-commercial users at github web page https://github.com/jbudis/lambda. SUPPLEMENTARY INFORMATION Supplementary materials are available at Bioinformatics online.
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Affiliation(s)
- Jaroslav Budis
- Department of Computer Science, Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia.,Bratislava, Geneton s.r.o, Bratislava, Slovakia.,Slovak Centre of Scientific and Technical Information, Bratislava, Slovakia
| | - Juraj Gazdarica
- Bratislava, Geneton s.r.o, Bratislava, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia
| | - Jan Radvanszky
- Bratislava, Geneton s.r.o, Bratislava, Slovakia.,Institute of Clinical and Translational Research, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Gabor Szucs
- Department of Applied Mathematics and Statistics, Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia
| | | | - Lucia Strieskova
- Bratislava, Geneton s.r.o, Bratislava, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia
| | - Iveta Gazdaricova
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia
| | - Maria Harsanyova
- Bratislava, Geneton s.r.o, Bratislava, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia
| | - Frantisek Duris
- Bratislava, Geneton s.r.o, Bratislava, Slovakia.,Slovak Centre of Scientific and Technical Information, Bratislava, Slovakia
| | | | | | - Balint Nagy
- Department of Human Genetics, University of Debrecen, Debrecen, Hungary
| | - Jan Turna
- Slovak Centre of Scientific and Technical Information, Bratislava, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia.,Comenius University Science Park, Bratislava, Slovakia
| | - Tomas Szemes
- Bratislava, Geneton s.r.o, Bratislava, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia.,Comenius University Science Park, Bratislava, Slovakia
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9
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Gazdarica J, Budis J, Duris F, Turna J, Szemes T. Adaptable Model Parameters in Non-Invasive Prenatal Testing Lead to More Stable Predictions. Int J Mol Sci 2019; 20:ijms20143414. [PMID: 31336782 PMCID: PMC6678500 DOI: 10.3390/ijms20143414] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 07/08/2019] [Accepted: 07/09/2019] [Indexed: 12/14/2022] Open
Abstract
Recent advances in massively parallel shotgun sequencing opened up new options for affordable non-invasive prenatal testing (NIPT) for fetus aneuploidy from DNA material extracted from maternal plasma. Tests typically compare chromosomal distributions of a tested sample with a control set of healthy samples with unaffected fetuses. Deviations above certain threshold levels are concluded as positive findings. The main problem with this approach is that the variance of the control set is dependent on the number of sequenced fragments. The higher the amount, the more precise the estimation of actual chromosomal proportions is. Testing a sample with a highly different number of sequenced reads as used in training may thus lead to over- or under-estimation of their variance, and so lead to false predictions. We propose the calculation of a variance for each tested sample adaptively, based on the actual number of its sequenced fragments. We demonstrate how it leads to more stable predictions, mainly in real-world diagnostics with the highly divergent inter-sample coverage.
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Affiliation(s)
- Juraj Gazdarica
- Geneton Ltd., Bratislava 841 04, Slovakia.
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava 841 04, Slovakia.
- Slovak Centre of Scientific and Technical Information, Bratislava 811 04, Slovakia.
| | - Jaroslav Budis
- Geneton Ltd., Bratislava 841 04, Slovakia
- Slovak Centre of Scientific and Technical Information, Bratislava 811 04, Slovakia
- Comenius University Science Park, Comenius University, Bratislava 841 04, Slovakia
| | | | - Jan Turna
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava 841 04, Slovakia
- Slovak Centre of Scientific and Technical Information, Bratislava 811 04, Slovakia
- Comenius University Science Park, Comenius University, Bratislava 841 04, Slovakia
| | - Tomas Szemes
- Geneton Ltd., Bratislava 841 04, Slovakia
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Bratislava 841 04, Slovakia
- Slovak Centre of Scientific and Technical Information, Bratislava 811 04, Slovakia
- Comenius University Science Park, Comenius University, Bratislava 841 04, Slovakia
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10
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Jensen TJ, Goodman AM, Kato S, Ellison CK, Daniels GA, Kim L, Nakashe P, McCarthy E, Mazloom AR, McLennan G, Grosu DS, Ehrich M, Kurzrock R. Genome-Wide Sequencing of Cell-Free DNA Identifies Copy-Number Alterations That Can Be Used for Monitoring Response to Immunotherapy in Cancer Patients. Mol Cancer Ther 2018; 18:448-458. [DOI: 10.1158/1535-7163.mct-18-0535] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 09/05/2018] [Accepted: 11/26/2018] [Indexed: 11/16/2022]
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11
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Badeau M, Lindsay C, Blais J, Nshimyumukiza L, Takwoingi Y, Langlois S, Légaré F, Giguère Y, Turgeon AF, Witteman W, Rousseau F. Genomics-based non-invasive prenatal testing for detection of fetal chromosomal aneuploidy in pregnant women. Cochrane Database Syst Rev 2017; 11:CD011767. [PMID: 29125628 PMCID: PMC6486016 DOI: 10.1002/14651858.cd011767.pub2] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Common fetal aneuploidies include Down syndrome (trisomy 21 or T21), Edward syndrome (trisomy 18 or T18), Patau syndrome (trisomy 13 or T13), Turner syndrome (45,X), Klinefelter syndrome (47,XXY), Triple X syndrome (47,XXX) and 47,XYY syndrome (47,XYY). Prenatal screening for fetal aneuploidies is standard care in many countries, but current biochemical and ultrasound tests have high false negative and false positive rates. The discovery of fetal circulating cell-free DNA (ccfDNA) in maternal blood offers the potential for genomics-based non-invasive prenatal testing (gNIPT) as a more accurate screening method. Two approaches used for gNIPT are massively parallel shotgun sequencing (MPSS) and targeted massively parallel sequencing (TMPS). OBJECTIVES To evaluate and compare the diagnostic accuracy of MPSS and TMPS for gNIPT as a first-tier test in unselected populations of pregnant women undergoing aneuploidy screening or as a second-tier test in pregnant women considered to be high risk after first-tier screening for common fetal aneuploidies. The gNIPT results were confirmed by a reference standard such as fetal karyotype or neonatal clinical examination. SEARCH METHODS We searched 13 databases (including MEDLINE, Embase and Web of Science) from 1 January 2007 to 12 July 2016 without any language, search filter or publication type restrictions. We also screened reference lists of relevant full-text articles, websites of private prenatal diagnosis companies and conference abstracts. SELECTION CRITERIA Studies could include pregnant women of any age, ethnicity and gestational age with singleton or multifetal pregnancy. The women must have had a screening test for fetal aneuploidy by MPSS or TMPS and a reference standard such as fetal karyotype or medical records from birth. DATA COLLECTION AND ANALYSIS Two review authors independently carried out study selection, data extraction and quality assessment (using the QUADAS-2 tool). Where possible, hierarchical models or simpler alternatives were used for meta-analysis. MAIN RESULTS Sixty-five studies of 86,139 pregnant women (3141 aneuploids and 82,998 euploids) were included. No study was judged to be at low risk of bias across the four domains of the QUADAS-2 tool but applicability concerns were generally low. Of the 65 studies, 42 enrolled pregnant women at high risk, five recruited an unselected population and 18 recruited cohorts with a mix of prior risk of fetal aneuploidy. Among the 65 studies, 44 evaluated MPSS and 21 evaluated TMPS; of these, five studies also compared gNIPT with a traditional screening test (biochemical, ultrasound or both). Forty-six out of 65 studies (71%) reported gNIPT assay failure rate, which ranged between 0% and 25% for MPSS, and between 0.8% and 7.5% for TMPS.In the population of unselected pregnant women, MPSS was evaluated by only one study; the study assessed T21, T18 and T13. TMPS was assessed for T21 in four studies involving unselected cohorts; three of the studies also assessed T18 and 13. In pooled analyses (88 T21 cases, 22 T18 cases, eight T13 cases and 20,649 unaffected pregnancies (non T21, T18 and T13)), the clinical sensitivity (95% confidence interval (CI)) of TMPS was 99.2% (78.2% to 100%), 90.9% (70.0% to 97.7%) and 65.1% (9.16% to 97.2%) for T21, T18 and T13, respectively. The corresponding clinical specificity was above 99.9% for T21, T18 and T13.In high-risk populations, MPSS was assessed for T21, T18, T13 and 45,X in 30, 28, 20 and 12 studies, respectively. In pooled analyses (1048 T21 cases, 332 T18 cases, 128 T13 cases and 15,797 unaffected pregnancies), the clinical sensitivity (95% confidence interval (CI)) of MPSS was 99.7% (98.0% to 100%), 97.8% (92.5% to 99.4%), 95.8% (86.1% to 98.9%) and 91.7% (78.3% to 97.1%) for T21, T18, T13 and 45,X, respectively. The corresponding clinical specificities (95% CI) were 99.9% (99.8% to 100%), 99.9% (99.8% to 100%), 99.8% (99.8% to 99.9%) and 99.6% (98.9% to 99.8%). In this risk group, TMPS was assessed for T21, T18, T13 and 45,X in six, five, two and four studies. In pooled analyses (246 T21 cases, 112 T18 cases, 20 T13 cases and 4282 unaffected pregnancies), the clinical sensitivity (95% CI) of TMPS was 99.2% (96.8% to 99.8%), 98.2% (93.1% to 99.6%), 100% (83.9% to 100%) and 92.4% (84.1% to 96.5%) for T21, T18, T13 and 45,X respectively. The clinical specificities were above 100% for T21, T18 and T13 and 99.8% (98.3% to 100%) for 45,X. Indirect comparisons of MPSS and TMPS for T21, T18 and 45,X showed no statistical difference in clinical sensitivity, clinical specificity or both. Due to limited data, comparative meta-analysis of MPSS and TMPS was not possible for T13.We were unable to perform meta-analyses of gNIPT for 47,XXX, 47,XXY and 47,XYY because there were very few or no studies in one or more risk groups. AUTHORS' CONCLUSIONS These results show that MPSS and TMPS perform similarly in terms of clinical sensitivity and specificity for the detection of fetal T31, T18, T13 and sex chromosome aneuploidy (SCA). However, no study compared the two approaches head-to-head in the same cohort of patients. The accuracy of gNIPT as a prenatal screening test has been mainly evaluated as a second-tier screening test to identify pregnancies at very low risk of fetal aneuploidies (T21, T18 and T13), thus avoiding invasive procedures. Genomics-based non-invasive prenatal testing methods appear to be sensitive and highly specific for detection of fetal trisomies 21, 18 and 13 in high-risk populations. There is paucity of data on the accuracy of gNIPT as a first-tier aneuploidy screening test in a population of unselected pregnant women. With respect to the replacement of invasive tests, the performance of gNIPT observed in this review is not sufficient to replace current invasive diagnostic tests.We conclude that given the current data on the performance of gNIPT, invasive fetal karyotyping is still the required diagnostic approach to confirm the presence of a chromosomal abnormality prior to making irreversible decisions relative to the pregnancy outcome. However, most of the gNIPT studies were prone to bias, especially in terms of the selection of participants.
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Affiliation(s)
- Mylène Badeau
- CHU de Québec ‐ Université LavalPopulation Health and Optimal Health Practices Research Axis45 Rue LeclercQuébec CityQCCanadaG1L 3L5
| | - Carmen Lindsay
- CHU de Québec ‐ Université LavalPopulation Health and Optimal Health Practices Research Axis45 Rue LeclercQuébec CityQCCanadaG1L 3L5
| | - Jonatan Blais
- CHAU‐Hôtel‐Dieu de LévisDepartment of Medical Biology143 Rue WolfeLévisQCCanadaG6V 3Z1
- Faculty of Medicine, Université LavalDepartment of Molecular Biology, Medical Biochemistry and PathologyQuebec CityQuebecCanada
| | - Leon Nshimyumukiza
- University of AlbertaSchool of Public Health8303 112 StreetEdmontonAlbertaCanadaT6G 2T4
| | - Yemisi Takwoingi
- University of BirminghamInstitute of Applied Health ResearchEdgbastonBirminghamUKB15 2TT
| | - Sylvie Langlois
- University of British ColumbiaDepartment of Medical Genetics, Faculty of MedicineC234, 4500 Oak StreetVancouverBCCanadaV6H 3N1
| | - France Légaré
- CHU de Québec ‐ Université LavalPopulation Health and Optimal Health Practices Research Axis45 Rue LeclercQuébec CityQCCanadaG1L 3L5
| | - Yves Giguère
- CHU de Québec ‐ Université LavalReproductive, Mother and Child Health Research Axis10, rue de l'Espinay, A2‐226Québec CityQCCanadaG1L 3L5
- Faculty of Medicine, Université LavalDepartment of Molecular Biology, Medical Biochemistry and Pathology10, rue de l'EspinayQuébec CityQcCanadaG1L 3L5
| | - Alexis F Turgeon
- CHU de Québec ‐ Université Laval, Université LavalDepartment of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, and Population Health and Optimal Health Practices Research Unit, CHU de Québec ‐ Université Laval Research Center1401, 18eme rueQuebec CityQCCanadaG1J 1Z4
- CHU de Québec Research Center, Université LavalPopulation Health and Optimal Health Practices Research Axis1401, 18eme rueQuébec CityQuébecCanadaG1J 1Z4
| | - William Witteman
- CHU de Québec ‐ Université LavalPopulation Health and Optimal Health Practices Research Axis45 Rue LeclercQuébec CityQCCanadaG1L 3L5
| | - François Rousseau
- Faculty of Medicine, Université LavalDepartment of Molecular Biology, Medical Biochemistry and Pathology10, rue de l'EspinayQuébec CityQcCanadaG1L 3L5
- CHU de Québec Research Center, Université LavalPopulation Health and Optimal Health Practices Research Axis1401, 18eme rueQuébec CityQuébecCanadaG1J 1Z4
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Genome-wide cfDNA screening: clinical laboratory experience with the first 10,000 cases. Genet Med 2017; 19:1332-1337. [PMID: 28617416 DOI: 10.1038/gim.2017.56] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 03/20/2017] [Indexed: 12/13/2022] Open
Abstract
PurposeInvasive diagnostic prenatal testing can provide the most comprehensive information about the genetic status of a fetus. Noninvasive prenatal screening methods, especially when using cell-free DNA (cfDNA), are often limited to reporting only on trisomies 21, 18, and 13 and sex chromosome aneuploidies. This can leave a significant number of chromosomal and subchromosomal copy-number variations undetected. In 2015, we launched a new genome-wide cfDNA screening test that has the potential to narrow this detection gap.MethodsHere, we review the results from the first 10,000 cases submitted to the Sequenom clinical laboratory for genome-wide cfDNA screening.ResultsThe high-risk indication for this cohort differed compared with standard cfDNA screening. More samples were submitted with ultrasound indications (25% compared with 13% for standard cfDNA screening) and fewer for advanced maternal age (51% for genome-wide screening versus 68% for standard cfDNA screening). A total of 554 positive calls were made, of which 164 were detectable only via genome-wide analysis.ConclusionThis reports indicates a difference in utilization compared with standard cfDNA screening, where positivity rates are higher and a large subset of positive calls could not have been made using standard cfDNA screening.
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Lefkowitz RB, Tynan JA, Liu T, Wu Y, Mazloom AR, Almasri E, Hogg G, Angkachatchai V, Zhao C, Grosu DS, McLennan G, Ehrich M. Clinical validation of a noninvasive prenatal test for genomewide detection of fetal copy number variants. Am J Obstet Gynecol 2016; 215:227.e1-227.e16. [PMID: 26899906 DOI: 10.1016/j.ajog.2016.02.030] [Citation(s) in RCA: 120] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 01/30/2016] [Accepted: 02/11/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND Current cell-free DNA assessment of fetal chromosomes does not analyze and report on all chromosomes. Hence, a significant proportion of fetal chromosomal abnormalities are not detectable by current noninvasive methods. Here we report the clinical validation of a novel noninvasive prenatal test (NIPT) designed to detect genomewide gains and losses of chromosomal material ≥7 Mb and losses associated with specific deletions <7 Mb. OBJECTIVE The objective of this study is to provide a clinical validation of the sensitivity and specificity of a novel NIPT for detection of genomewide abnormalities. STUDY DESIGN This retrospective, blinded study included maternal plasma collected from 1222 study subjects with pregnancies at increased risk for fetal chromosomal abnormalities that were assessed for trisomy 21 (T21), trisomy 18 (T18), trisomy 13 (T13), sex chromosome aneuploidies (SCAs), fetal sex, genomewide copy number variants (CNVs) ≥7 Mb, and select deletions <7 Mb. Performance was assessed by comparing test results with findings from G-band karyotyping, microarray data, or high coverage sequencing. RESULTS Clinical sensitivity within this study was determined to be 100% for T21 (95% confidence interval [CI], 94.6-100%), T18 (95% CI, 84.4-100%), T13 (95% CI, 74.7-100%), and SCAs (95% CI, 84-100%), and 97.7% for genomewide CNVs (95% CI, 86.2-99.9%). Clinical specificity within this study was determined to be 100% for T21 (95% CI, 99.6-100%), T18 (95% CI, 99.6-100%), and T13 (95% CI, 99.6-100%), and 99.9% for SCAs and CNVs (95% CI, 99.4-100% for both). Fetal sex classification had an accuracy of 99.6% (95% CI, 98.9-99.8%). CONCLUSION This study has demonstrated that genomewide NIPT for fetal chromosomal abnormalities can provide high resolution, sensitive, and specific detection of a wide range of subchromosomal and whole chromosomal abnormalities that were previously only detectable by invasive karyotype analysis. In some instances, this NIPT also provided additional clarification about the origin of genetic material that had not been identified by invasive karyotype analysis.
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