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Shim Y, Koo YK, Shin S, Lee ST, Lee KA, Choi JR. Comparison of Optical Genome Mapping With Conventional Diagnostic Methods for Structural Variant Detection in Hematologic Malignancies. Ann Lab Med 2024; 44:324-334. [PMID: 38433573 PMCID: PMC10961627 DOI: 10.3343/alm.2023.0339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/21/2023] [Accepted: 02/13/2024] [Indexed: 03/05/2024] Open
Abstract
Background Structural variants (SVs) are currently analyzed using a combination of conventional methods; however, this approach has limitations. Optical genome mapping (OGM), an emerging technology for detecting SVs using a single-molecule strategy, has the potential to replace conventional methods. We compared OGM with conventional diagnostic methods for detecting SVs in various hematologic malignancies. Methods Residual bone marrow aspirates from 27 patients with hematologic malignancies in whom SVs were observed using conventional methods (chromosomal banding analysis, FISH, an RNA fusion panel, and reverse transcription PCR) were analyzed using OGM. The concordance between the OGM and conventional method results was evaluated. Results OGM showed concordance in 63% (17/27) and partial concordance in 37% (10/27) of samples. OGM detected 76% (52/68) of the total SVs correctly (concordance rate for each type of SVs: aneuploidies, 83% [15/18]; balanced translocation, 80% [12/15] unbalanced translocation, 54% [7/13] deletions, 81% [13/16]; duplications, 100% [2/2] inversion 100% [1/1]; insertion, 100% [1/1]; marker chromosome, 0% [0/1]; isochromosome, 100% [1/1]). Sixteen discordant results were attributed to the involvement of centromeric/telomeric regions, detection sensitivity, and a low mapping rate and coverage. OGM identified additional SVs, including submicroscopic SVs and novel fusions, in five cases. Conclusions OGM shows a high level of concordance with conventional diagnostic methods for the detection of SVs and can identify novel variants, suggesting its potential utility in enabling more comprehensive SV analysis in routine diagnostics of hematologic malignancies, although further studies and improvements are required.
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Affiliation(s)
- Yeeun Shim
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, Korea
- MDxK (Molecular Diagnostics Korea), Inc., Gwacheon, Korea
| | - Yu-Kyung Koo
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
- Dxome Co., Ltd., Seongnam, Korea
| | - Kyung-A Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
- Dxome Co., Ltd., Seongnam, Korea
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2
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Tashkandi H, Younes IE. Advances in Molecular Understanding of Polycythemia Vera, Essential Thrombocythemia, and Primary Myelofibrosis: Towards Precision Medicine. Cancers (Basel) 2024; 16:1679. [PMID: 38730632 PMCID: PMC11083661 DOI: 10.3390/cancers16091679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Myeloproliferative neoplasms (MPNs), including Polycythemia Vera (PV), Essential Thrombocythemia (ET), and Primary Myelofibrosis (PMF), are characterized by the clonal proliferation of hematopoietic stem cells leading to an overproduction of hematopoietic cells. The last two decades have seen significant advances in our understanding of the molecular pathogenesis of these diseases, with the discovery of key mutations in the JAK2, CALR, and MPL genes being pivotal. This review provides a comprehensive update on the molecular landscape of PV, ET, and PMF, highlighting the diagnostic, prognostic, and therapeutic implications of these genetic findings. We delve into the challenges of diagnosing and treating patients with prognostic mutations, clonal evolution, and the impact of emerging technologies like next-generation sequencing and single-cell genomics on the field. The future of MPN management lies in leveraging these molecular insights to develop personalized treatment strategies, aiming for precision medicine that optimizes outcomes for patients. This article synthesizes current knowledge on molecular diagnostics in MPNs, underscoring the critical role of genetic profiling in enhancing patient care and pointing towards future research directions that promise to further refine our approach to these complex disorders.
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Affiliation(s)
- Hammad Tashkandi
- Department of Pathology and Laboratory Medicine, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Ismail Elbaz Younes
- Department of Laboratory Medicine and Pathology, Division of Hematopathology, University of Minnesota, Minneapolis, MN 55455, USA;
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3
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Levy B, Kanagal-Shamanna R, Sahajpal NS, Neveling K, Rack K, Dewaele B, Olde Weghuis D, Stevens-Kroef M, Puiggros A, Mallo M, Clifford B, Mantere T, Hoischen A, Espinet B, Kolhe R, Solé F, Raca G, Smith AC. A framework for the clinical implementation of optical genome mapping in hematologic malignancies. Am J Hematol 2024; 99:642-661. [PMID: 38164980 DOI: 10.1002/ajh.27175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 10/09/2023] [Accepted: 11/22/2023] [Indexed: 01/03/2024]
Abstract
Optical Genome Mapping (OGM) is rapidly emerging as an exciting cytogenomic technology both for research and clinical purposes. In the last 2 years alone, multiple studies have demonstrated that OGM not only matches the diagnostic scope of conventional standard of care cytogenomic clinical testing but it also adds significant new information in certain cases. Since OGM consolidates the diagnostic benefits of multiple costly and laborious tests (e.g., karyotyping, fluorescence in situ hybridization, and chromosomal microarrays) in a single cost-effective assay, many clinical laboratories have started to consider utilizing OGM. In 2021, an international working group of early adopters of OGM who are experienced with routine clinical cytogenomic testing in patients with hematological neoplasms formed a consortium (International Consortium for OGM in Hematologic Malignancies, henceforth "the Consortium") to create a consensus framework for implementation of OGM in a clinical setting. The focus of the Consortium is to provide guidance for laboratories implementing OGM in three specific areas: validation, quality control and analysis and interpretation of variants. Since OGM is a complex technology with many variables, we felt that by consolidating our collective experience, we could provide a practical and useful tool for uniform implementation of OGM in hematologic malignancies with the ultimate goal of achieving globally accepted standards.
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Affiliation(s)
- Brynn Levy
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Kornelia Neveling
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Katrina Rack
- Laboratory for the Cytogenetic and Molecular Diagnosis of Haematological Malignancies, Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Barbara Dewaele
- Laboratory for the Cytogenetic and Molecular Diagnosis of Haematological Malignancies, Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Daniel Olde Weghuis
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marian Stevens-Kroef
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anna Puiggros
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Mar Mallo
- MDS Research Group, Microarrays Unit, Institut de Recerca Contra la Leucèmia Josep Carreras (IJC), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
| | | | - Tuomo Mantere
- Laboratory of Cancer Genetics and Tumor Biology, Translational Medicine Research Unit and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Alexander Hoischen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, The Netherlands
| | - Blanca Espinet
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Francesc Solé
- MDS Research Group, Microarrays Unit, Institut de Recerca Contra la Leucèmia Josep Carreras (IJC), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Gordana Raca
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Adam C Smith
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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4
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Jang MA. Genomic technologies for detecting structural variations in hematologic malignancies. Blood Res 2024; 59:1. [PMID: 38485792 PMCID: PMC10903520 DOI: 10.1007/s44313-024-00001-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 12/18/2023] [Indexed: 03/18/2024] Open
Abstract
Genomic structural variations in myeloid, lymphoid, and plasma cell neoplasms can provide key diagnostic, prognostic, and therapeutic information while elucidating the underlying disease biology. Several molecular diagnostic approaches play a central role in evaluating hematological malignancies. Traditional cytogenetic diagnostic assays, such as chromosome banding and fluorescence in situ hybridization, are essential components of the current diagnostic workup that guide clinical care for most hematologic malignancies. However, each assay has inherent limitations, including limited resolution for detecting small structural variations and low coverage, and can only detect alterations in the target regions. Recently, the rapid expansion and increasing availability of novel and comprehensive genomic technologies have led to their use in clinical laboratories for clinical management and translational research. This review aims to describe the clinical relevance of structural variations in hematologic malignancies and introduce genomic technologies that may facilitate personalized tumor characterization and treatment.
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Affiliation(s)
- Mi-Ae Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Korea.
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Finlay D, Murad R, Hong K, Lee J, Pang AWC, Lai CY, Clifford B, Burian C, Mason J, Hastie AR, Yin J, Vuori K. Detection of Genomic Structural Variations Associated with Drug Sensitivity and Resistance in Acute Leukemia. Cancers (Basel) 2024; 16:418. [PMID: 38254907 PMCID: PMC10814465 DOI: 10.3390/cancers16020418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/13/2024] [Accepted: 01/15/2024] [Indexed: 01/24/2024] Open
Abstract
Acute leukemia is a particularly problematic collection of hematological cancers, and, while somewhat rare, the survival rate of patients is typically abysmal without bone marrow transplantation. Furthermore, traditional chemotherapies used as standard-of-care for patients cause significant side effects. Understanding the evolution of leukemia to identify novel targets and, therefore, drug treatment regimens is a significant medical need. Genomic rearrangements and other structural variations (SVs) have long been known to be causative and pathogenic in multiple types of cancer, including leukemia. These SVs may be involved in cancer initiation, progression, clonal evolution, and drug resistance, and a better understanding of SVs from individual patients may help guide therapeutic options. Here, we show the utilization of optical genome mapping (OGM) to detect known and novel SVs in the samples of patients with leukemia. Importantly, this technology provides an unprecedented level of granularity and quantitation unavailable to other current techniques and allows for the unbiased detection of novel SVs, which may be relevant to disease pathogenesis and/or drug resistance. Coupled with the chemosensitivities of these samples to FDA-approved oncology drugs, we show how an impartial integrative analysis of these diverse datasets can be used to associate the detected genomic rearrangements with multiple drug sensitivity profiles. Indeed, an insertion in the gene MUSK is shown to be associated with increased sensitivity to the clinically relevant agent Idarubicin, while partial tandem duplication events in the KMT2A gene are related to the efficacy of another frontline treatment, Cytarabine.
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Affiliation(s)
- Darren Finlay
- NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA; (R.M.)
| | - Rabi Murad
- NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA; (R.M.)
| | - Karl Hong
- Bionano Genomics Inc., San Diego, CA 92121, USA
| | - Joyce Lee
- Bionano Genomics Inc., San Diego, CA 92121, USA
| | | | - Chi-Yu Lai
- Bionano Genomics Inc., San Diego, CA 92121, USA
| | | | | | - James Mason
- Scripps MD Anderson, La Jolla, CA 92037, USA
| | | | - Jun Yin
- NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA; (R.M.)
| | - Kristiina Vuori
- NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA; (R.M.)
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6
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Paulraj P, Barrie E, Jackson‐Cook C. Optical genome mapping reveals balanced and unbalanced genetic changes associated with tumor-forming potential in an early-stage prostate cancer epithelial subline (M2205). Mol Genet Genomic Med 2024; 12:e2307. [PMID: 37902189 PMCID: PMC10767587 DOI: 10.1002/mgg3.2307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 09/26/2023] [Accepted: 10/13/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Identifying cytogenetic changes in tumors can aid in diagnosis/prognosis and disease management. Complete cytogenetic characterization has historically required a multimethod/time-consuming approach. Optical genome mapping (OGM) offers a potential solution to this challenge by detecting both balanced and unbalanced abnormalities in a single assay. METHODS Genetic changes acquired with tumor-forming potential in a prostate xenograft subline [M2205] (derived from a Black male) that were detected using cytogenetic versus OGM analyses were compared to assess the utility of OGM for analyzing solid tumors. RESULTS Cytogenetic/OGM concordance was noted for (a) copy number gains (16, 1p, 3q, 5q, 7p, 8q, 9q, 11p, 11q, 15q, 20q), (b) copy number losses (Y, 3p, 4p, 6p, 7p, 9p, 11q), and (c) structural changes, including multibreak rearrangements. Discordance was noted for two structural findings, both of which had breakpoints localized to repetitive sequences. The OGM studies identified new findings and confirmed/further characterized 8q24 structural abnormalities. It also detected genes gained/disrupted in the 8q24 region (e.g., MYC, DEPTOR, and EXT1); but recognizing a jumping translocation required cytogenetic analyses. CONCLUSION These results support using OGM as a tool to analyze solid tumors in clinical/research settings. Moreover, this OGM analysis expanded the characterization of cytogenetic changes present in the M2205 subline, including alterations associated with tumors from Black males diagnosed with prostate cancer.
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Affiliation(s)
- Prabakaran Paulraj
- Department of PathologyVirginia Commonwealth UniversityRichmondVirginiaUSA
- NeogenomicsPhoenixArizonaUSA
| | - Elizabeth Barrie
- Department of PathologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Colleen Jackson‐Cook
- Department of PathologyVirginia Commonwealth UniversityRichmondVirginiaUSA
- Department of Human & Molecular GeneticsVirginia Commonwealth UniversityRichmondVirginiaUSA
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7
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Pang AWC, Kosco K, Sahajpal NS, Sridhar A, Hauenstein J, Clifford B, Estabrook J, Chitsazan AD, Sahoo T, Iqbal A, Kolhe R, Raca G, Hastie AR, Chaubey A. Analytic Validation of Optical Genome Mapping in Hematological Malignancies. Biomedicines 2023; 11:3263. [PMID: 38137484 PMCID: PMC10741484 DOI: 10.3390/biomedicines11123263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/23/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
Structural variations (SVs) play a key role in the pathogenicity of hematological malignancies. Standard-of-care (SOC) methods such as karyotyping and fluorescence in situ hybridization (FISH), which have been employed globally for the past three decades, have significant limitations in terms of resolution and the number of recurrent aberrations that can be simultaneously assessed, respectively. Next-generation sequencing (NGS)-based technologies are now widely used to detect clinically significant sequence variants but are limited in their ability to accurately detect SVs. Optical genome mapping (OGM) is an emerging technology enabling the genome-wide detection of all classes of SVs at a significantly higher resolution than karyotyping and FISH. OGM requires neither cultured cells nor amplification of DNA, addressing the limitations of culture and amplification biases. This study reports the clinical validation of OGM as a laboratory-developed test (LDT) according to stringent regulatory (CAP/CLIA) guidelines for genome-wide SV detection in different hematological malignancies. In total, 60 cases with hematological malignancies (of various subtypes), 18 controls, and 2 cancer cell lines were used for this study. Ultra-high-molecular-weight DNA was extracted from the samples, fluorescently labeled, and run on the Bionano Saphyr system. A total of 215 datasets, Inc.luding replicates, were generated, and analyzed successfully. Sample data were then analyzed using either disease-specific or pan-cancer-specific BED files to prioritize calls that are known to be diagnostically or prognostically relevant. Sensitivity, specificity, and reproducibility were 100%, 100%, and 96%, respectively. Following the validation, 14 cases and 10 controls were run and analyzed using OGM at three outside laboratories showing reproducibility of 96.4%. OGM found more clinically relevant SVs compared to SOC testing due to its ability to detect all classes of SVs at higher resolution. The results of this validation study demonstrate the superiority of OGM over traditional SOC methods for the detection of SVs for the accurate diagnosis of various hematological malignancies.
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Affiliation(s)
| | | | - Nikhil S. Sahajpal
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | | | | | | | | | | | | | - Anwar Iqbal
- DNA Microarray CGH Laboratory, Department of Pathology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Gordana Raca
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
| | - Alex R. Hastie
- Bionano, San Diego, CA 92121, USA; (A.W.C.P.)
- Bionano Laboratories, San Diego, CA 92121, USA
| | - Alka Chaubey
- Bionano, San Diego, CA 92121, USA; (A.W.C.P.)
- Bionano Laboratories, San Diego, CA 92121, USA
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Coccaro N, Zagaria A, Anelli L, Tarantini F, Tota G, Conserva MR, Cumbo C, Parciante E, Redavid I, Ingravallo G, Minervini CF, Minervini A, Specchia G, Musto P, Albano F. Optical Genome Mapping as a Tool to Unveil New Molecular Findings in Hematological Patients with Complex Chromosomal Rearrangements. Genes (Basel) 2023; 14:2180. [PMID: 38137002 PMCID: PMC10742895 DOI: 10.3390/genes14122180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/28/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023] Open
Abstract
Standard cytogenetic techniques (chromosomal banding analysis-CBA, and fluorescence in situ hybridization-FISH) show limits in characterizing complex chromosomal rearrangements and structural variants arising from two or more chromosomal breaks. In this study, we applied optical genome mapping (OGM) to fully characterize two cases of complex chromosomal rearrangements at high resolution. In case 1, an acute myeloid leukemia (AML) patient showing chromothripsis, OGM analysis was fully concordant with classic cytogenetic techniques and helped to better refine chromosomal breakpoints. The OGM results of case 2, a patient with non-Hodgkin lymphoma, were only partially in agreement with previous cytogenetic analyses and helped to better define clonal heterogeneity, overcoming the bias related to clonal selection due to cell culture of cytogenetic techniques. In both cases, OGM analysis led to the identification of molecular markers, helping to define the pathogenesis, classification, and prognosis of the analyzed patients. Despite extensive efforts to study hematologic diseases, standard cytogenetic methods display unsurmountable limits, while OGM is a tool that has the power to overcome these limitations and provide a cytogenetic analysis at higher resolution. As OGM also shows limits in defining regions of a repetitive nature, combining OGM with CBA to obtain a complete cytogenetic characterization would be desirable.
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Affiliation(s)
- Nicoletta Coccaro
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Antonella Zagaria
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Luisa Anelli
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Francesco Tarantini
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Giuseppina Tota
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Maria Rosa Conserva
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Cosimo Cumbo
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Elisa Parciante
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Immacolata Redavid
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Giuseppe Ingravallo
- Section of Molecular Pathology, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy;
| | - Crescenzio Francesco Minervini
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Angela Minervini
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Giorgina Specchia
- School of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy;
| | - Pellegrino Musto
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
| | - Francesco Albano
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari “Aldo Moro”, 70124 Bari, Italy; (N.C.); (A.Z.); (L.A.); (F.T.); (G.T.); (M.R.C.); (C.C.); (E.P.); (I.R.); (C.F.M.); (A.M.); (P.M.)
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9
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Sahajpal NS, Mondal AK, Hastie A, Chaubey A, Kolhe R. Optical Genome Mapping for Oncology Applications. Curr Protoc 2023; 3:e910. [PMID: 37888957 DOI: 10.1002/cpz1.910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Optical genome mapping (OGM) is a next-generation cytogenomic technology that has the potential to replace standard-of-care technologies used in the genetic workup of various malignancies. The ability to detect various classes of structural variations that include copy number variations, deletions, duplications, balanced and unbalanced events (insertions, inversions, and translocation) and complex genomic rearrangements in a single assay and analysis demonstrates the utility of the technology in tumor research and clinical application. Herein, we provide the methodological details for performing OGM and pre- and post-analytical quality control (QC) checks and describe critical steps that should be performed with caution, probable causes for specific QC failures, and potential method modifications that could be implemented as part of troubleshooting. The protocol description and troubleshooting guide should help new and current users of the technology to improve or troubleshoot the problems (if any) in their workflow. © 2023 Wiley Periodicals LLC. Basic Protocol: Optical genome mapping.
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Affiliation(s)
| | - Ashis K Mondal
- Department of Pathology, Augusta University, Augusta, Georgia
| | | | | | - Ravindra Kolhe
- Department of Pathology, Augusta University, Augusta, Georgia
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10
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Lefebvre C, Veronese L, Nadal N, Gaillard JB, Penther D, Daudignon A, Chauzeix J, Nguyen-Khac F, Chapiro E. Cytogenetics in the management of mature B-cell non-Hodgkin lymphomas: Guidelines from the Groupe Francophone de Cytogénétique Hematologique (GFCH). Curr Res Transl Med 2023; 71:103425. [PMID: 38016420 DOI: 10.1016/j.retram.2023.103425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/18/2023] [Accepted: 10/18/2023] [Indexed: 11/30/2023]
Abstract
Non-Hodgkin lymphomas (NHL) consist of a wide range of clinically, phenotypically and genetically distinct neoplasms. The accurate diagnosis of mature B-cell non-Hodgkin lymphoma relies on a multidisciplinary approach that integrates morphological, phenotypical and genetic characteristics together with clinical features. Cytogenetic analyses remain an essential part of the diagnostic workup for mature B-cell lymphomas. Karyotyping is particularly useful to identify hallmark translocations, typical cytogenetic signatures as well as complex karyotypes, all bringing valuable diagnostic and/or prognostic information. Besides the well-known recurrent chromosomal abnormalities such as, for example, t(14;18)(q32;q21)/IGH::BCL2 in follicular lymphoma, recent evidences support a prognostic significance of complex karyotype in mantle cell lymphoma and Waldenström macroglobulinemia. Fluorescence In Situ Hybridization is also a key analysis playing a central role in disease identification, especially in genetically-defined entities, but also in predicting transformation risk or prognostication. This can be exemplified by the pivotal role of MYC, BCL2 and/or BCL6 rearrangements in the diagnostic of aggressive or large B-cell lymphomas. This work relies on the World Health Organization and the International Consensus Classification of hematolymphoid tumors together with the recent cytogenetic advances. Here, we review the various chromosomal abnormalities that delineate well-established mature B-cell non-Hodgkin lymphoma entities as well as newly recognized genetic subtypes and provide cytogenetic guidelines for the diagnostic management of mature B-cell lymphomas.
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Affiliation(s)
- C Lefebvre
- Unité de Génétique des Hémopathies, Service d'Hématologie Biologique, CHU Grenoble Alpes, Grenoble, France.
| | - L Veronese
- Service de Cytogénétique Médicale, CHU Estaing, 1 place Lucie et Raymond Aubrac, 63003 Clermont-Ferrand; EA7453 CHELTER, Université Clermont Auvergne, France
| | - N Nadal
- Service de génétique chromosomique et moléculaire, CHU Dijon, Dijon, France
| | - J-B Gaillard
- Unité de Génétique Chromosomique, Service de Génétique moléculaire et cytogénomique, CHU Montpellier, Montpellier, France
| | - D Penther
- Laboratoire de Génétique Oncologique, Centre Henri Becquerel, Rouen, France
| | - A Daudignon
- Laboratoire de Génétique Médicale - Hôpital Jeanne de Flandre - CHRU de Lille, France
| | - J Chauzeix
- Service d'Hématologie biologique CHU de Limoges - CRIBL, UMR CNRS 7276/INSERM 1262, Limoges, France
| | - F Nguyen-Khac
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Inserm UMRS_1138, Drug Resistance in Hematological Malignancies Team, F-75006 Paris, France; Sorbonne Université, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Service d'Hématologie Biologique, F-75013 Paris, France
| | - E Chapiro
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Inserm UMRS_1138, Drug Resistance in Hematological Malignancies Team, F-75006 Paris, France; Sorbonne Université, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Service d'Hématologie Biologique, F-75013 Paris, France
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Giguère A, Raymond-Bouchard I, Collin V, Claveau JS, Hébert J, LeBlanc R. Optical Genome Mapping Reveals the Complex Genetic Landscape of Myeloma. Cancers (Basel) 2023; 15:4687. [PMID: 37835381 PMCID: PMC10571866 DOI: 10.3390/cancers15194687] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 10/15/2023] Open
Abstract
Fluorescence in situ hybridization (FISH) on enriched CD138 plasma cells is the standard method for identification of clinically relevant genetic abnormalities in multiple myeloma. However, FISH is a targeted analysis that can be challenging due to the genetic complexity of myeloma. The aim of this study was to evaluate the potential of optical genome mapping (OGM) to detect clinically significant cytogenetic abnormalities in myeloma and to provide larger pangenomic information. OGM and FISH analyses were performed on CD138-purified cells of 20 myeloma patients. OGM successfully detected structural variants (SVs) (IGH and MYC rearrangements), copy number variants (CNVs) (17p/TP53 deletion, 1p deletion and 1q gain/amplification) and aneuploidy (gains of odd-numbered chromosomes, monosomy 13) classically expected with myeloma and led to a 30% increase in prognosis yield at our institution when compared to FISH. Despite challenges in the interpretation of OGM calls for CNV and aneuploidy losses in non-diploid genomes, OGM has the potential to replace FISH as the standard of care analysis in clinical settings and to efficiently change how we identify prognostic and predictive markers for therapies in the future. To our knowledge, this is the first study highlighting the feasibility and clinical utility of OGM in myeloma.
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Affiliation(s)
- Amélie Giguère
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Isabelle Raymond-Bouchard
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Vanessa Collin
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Jean-Sébastien Claveau
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
| | - Josée Hébert
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
| | - Richard LeBlanc
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
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Xie M, Xue J, Zhang Y, Zhou Y, Yu Q, Li H, Li Q. Combination of trio-based whole exome sequencing and optical genome mapping reveals a cryptic balanced translocation that causes unbalanced chromosomal rearrangements in a family with multiple anomalies. Front Genet 2023; 14:1248544. [PMID: 37745854 PMCID: PMC10512417 DOI: 10.3389/fgene.2023.1248544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/22/2023] [Indexed: 09/26/2023] Open
Abstract
Background: Balanced translocation (BT) carriers can produce imbalanced gametes and experience recurrent spontaneous abortions (RSAs) and even give birth to a child with complex chromosomal disorders. Here, we report a cryptic BT, t(5; 6) (p15.31; p25.1), in the proband's grandmother, which caused unbalanced chromosomal rearrangements and various anomalies in the two subsequent generations. We also provide a thorough overview of the application of optical genome mapping (OGM) to identify chromosomal structural variants (SVs). Methods: Trio-based whole exome sequencing (Trio-WES) was conducted to explore the genetic basis of the phenotype of the proband and her mother. High-resolution karyotype analysis and OGM detection were performed on the proband's grandparents to trace the origin of the unbalanced rearrangements between chromosomes 5 and 6. A PubMed search was conducted with the following keywords: "OGM" and "SVs." Then, relevant studies were collected and systematically reviewed. Results: The proband and her mother presented with various anomalies, whereas the grandmother was healthy but had a history of four abnormal pregnancies. Trio-WES revealed a heterozygous duplication on the terminal region of chromosome 5p and a heterozygous deletion on the proximal end of chromosome 6p in the proband and her mother. High-resolution karyotype analysis revealed no aberrant karyotypes in either grandparent, whereas OGM detection revealed a cryptic BT, t(5; 6)(p15.31; p25.1), in the proband's grandmother. An overwhelming majority of research publications have verified the clinical utility of OGM in detecting SVs. Conclusion: The results of this study revealed that the unbalanced chromosomal rearrangements and many anomalies observed in multiple members of the family were attributable to the cryptic BT carried by the proband's grandmother. This study supports that OGM has a unique advantage for detecting cryptic BTs, and can be used as a first-tier genetic test for the etiological diagnosis of infertility, RSAs, and other complex genetic disorders.
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Affiliation(s)
- Min Xie
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children’s Hospital, Ningbo, Zhejiang, China
| | - Jiangyang Xue
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children’s Hospital, Ningbo, Zhejiang, China
| | - Yuxin Zhang
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children’s Hospital, Ningbo, Zhejiang, China
| | - Ying Zhou
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children’s Hospital, Ningbo, Zhejiang, China
| | - Qi Yu
- Neonatal Screening Center, Ningbo Women and Children’s Hospital, Ningbo, Zhejiang, China
| | - Haibo Li
- The Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children’s Hospital, Ningbo, Zhejiang, China
| | - Qiong Li
- Neonatal Screening Center, Ningbo Women and Children’s Hospital, Ningbo, Zhejiang, China
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13
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Sahajpal NS, Mondal AK, Vashisht A, Singh H, Pang AWC, Saul D, Nivin O, Hilton B, DuPont BR, Kota V, Savage NM, Hastie AR, Chaubey A, Kolhe R. Optical Genome Mapping: Integrating Structural Variations for Precise Homologous Recombination Deficiency Score Calculation. Genes (Basel) 2023; 14:1683. [PMID: 37761823 PMCID: PMC10530691 DOI: 10.3390/genes14091683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 08/11/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
Homologous recombination deficiency (HRD) is characterized by the inability of a cell to repair the double-stranded breaks using the homologous recombination repair (HRR) pathway. The deficiency of the HRR pathway results in defective DNA repair, leading to genomic instability and tumorigenesis. The presence of HRD has been found to make tumors sensitive to ICL-inducing platinum-based therapies and poly(adenosine diphosphate [ADP]-ribose) polymerase (PARP) inhibitors (PARPi). However, there are no standardized methods to measure and report HRD phenotypes. Herein, we compare optical genome mapping (OGM), chromosomal microarray (CMA), and a 523-gene NGS panel for HRD score calculations. This retrospective study included the analysis of 196 samples, of which 10 were gliomas, 176 were hematological malignancy samples, and 10 were controls. The 10 gliomas were evaluated with both CMA and OGM, and 30 hematological malignancy samples were evaluated with both the NGS panel and OGM. To verify the scores in a larger cohort, 135 cases were evaluated with the NGS panel and 71 cases with OGM. The HRD scores were calculated using a combination of three HRD signatures that included loss of heterozygosity (LOH), telomeric allelic imbalance (TAI), and large-scale transitions (LST). In the ten glioma cases analyzed with OGM and CMA using the same DNA (to remove any tumor percentage bias), the HRD scores (mean ± SEM) were 13.2 (±4.2) with OGM compared to 3.7 (±1.4) with CMA. In the 30 hematological malignancy cases analyzed with OGM and the 523-gene NGS panel, the HRD scores were 7.6 (±2.2) with OGM compared to 2.6 (±0.8) with the 523-gene NGS panel. OGM detected 70.8% and 66.8% of additional variants that are considered HRD signatures in gliomas and hematological malignancies, respectively. The higher sensitivity of OGM to capture HRD signature variants might enable a more accurate and precise correlation with response to PARPi and platinum-based drugs. This study reveals HRD signatures that are cryptic to current standard of care (SOC) methods used for assessing the HRD phenotype and presents OGM as an attractive alternative with higher resolution and sensitivity to accurately assess the HRD phenotype.
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Affiliation(s)
| | - Ashis K. Mondal
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (A.K.M.); (A.V.); (H.S.); (O.N.); (N.M.S.)
| | - Ashutosh Vashisht
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (A.K.M.); (A.V.); (H.S.); (O.N.); (N.M.S.)
| | - Harmanpreet Singh
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (A.K.M.); (A.V.); (H.S.); (O.N.); (N.M.S.)
| | - Andy Wing Chun Pang
- Bionano Genomics, San Diego, CA 92121, USA; (A.W.C.P.); (D.S.); (A.R.H.); (A.C.)
| | - Daniel Saul
- Bionano Genomics, San Diego, CA 92121, USA; (A.W.C.P.); (D.S.); (A.R.H.); (A.C.)
| | - Omar Nivin
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (A.K.M.); (A.V.); (H.S.); (O.N.); (N.M.S.)
| | - Benjamin Hilton
- Greenwood Genetic Center, Greenwood, SC 29646, USA; (N.S.S.); (B.H.); (B.R.D.)
| | - Barbara R. DuPont
- Greenwood Genetic Center, Greenwood, SC 29646, USA; (N.S.S.); (B.H.); (B.R.D.)
| | - Vamsi Kota
- Department of Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA;
| | - Natasha M. Savage
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (A.K.M.); (A.V.); (H.S.); (O.N.); (N.M.S.)
| | - Alex R. Hastie
- Bionano Genomics, San Diego, CA 92121, USA; (A.W.C.P.); (D.S.); (A.R.H.); (A.C.)
| | - Alka Chaubey
- Bionano Genomics, San Diego, CA 92121, USA; (A.W.C.P.); (D.S.); (A.R.H.); (A.C.)
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA; (A.K.M.); (A.V.); (H.S.); (O.N.); (N.M.S.)
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Brandes D, Yasin L, Nebral K, Ebler J, Schinnerl D, Picard D, Bergmann AK, Alam J, Köhrer S, Haas OA, Attarbaschi A, Marschall T, Stanulla M, Borkhardt A, Brozou T, Fischer U, Wagener R. Optical Genome Mapping Identifies Novel Recurrent Structural Alterations in Childhood ETV6::RUNX1+ and High Hyperdiploid Acute Lymphoblastic Leukemia. Hemasphere 2023; 7:e925. [PMID: 37469802 PMCID: PMC10353714 DOI: 10.1097/hs9.0000000000000925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/01/2023] [Indexed: 07/21/2023] Open
Abstract
The mutational landscape of B-cell precursor acute lymphoblastic leukemia (BCP-ALL), the most common pediatric cancer, is not fully described partially because commonly applied short-read next generation sequencing has a limited ability to identify structural variations. By combining comprehensive analysis of structural variants (SVs), single-nucleotide variants (SNVs), and small insertions-deletions, new subtype-defining and therapeutic targets may be detected. We analyzed the landscape of somatic alterations in 60 pediatric patients diagnosed with the most common BCP-ALL subtypes, ETV6::RUNX1+ and classical hyperdiploid (HD), using conventional cytogenetics, single nucleotide polymorphism (SNP) array, whole exome sequencing (WES), and the novel optical genome mapping (OGM) technique. Ninety-five percent of SVs detected by cytogenetics and SNP-array were verified by OGM. OGM detected an additional 677 SVs not identified using the conventional methods, including (subclonal) IKZF1 deletions. Based on OGM, ETV6::RUNX1+ BCP-ALL harbored 2.7 times more SVs than HD BCP-ALL, mainly focal deletions. Besides SVs in known leukemia development genes (ETV6, PAX5, BTG1, CDKN2A), we identified 19 novel recurrently altered regions (in n ≥ 3) including 9p21.3 (FOCAD/HACD4), 8p11.21 (IKBKB), 1p34.3 (ZMYM1), 4q24 (MANBA), 8p23.1 (MSRA), and 10p14 (SFMBT2), as well as ETV6::RUNX1+ subtype-specific SVs (12p13.1 (GPRC5A), 12q24.21 (MED13L), 18q11.2 (MIB1), 20q11.22 (NCOA6)). We detected 3 novel fusion genes (SFMBT2::DGKD, PDS5B::STAG2, and TDRD5::LPCAT2), for which the sequence and expression were validated by long-read and whole transcriptome sequencing, respectively. OGM and WES identified double hits of SVs and SNVs (ETV6, BTG1, STAG2, MANBA, TBL1XR1, NSD2) in the same patient demonstrating the power of the combined approach to define the landscape of genomic alterations in BCP-ALL.
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Affiliation(s)
- Danielle Brandes
- Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University and University Hospital Dusseldorf, Germany
- Dusseldorf School of Oncology (DSO), Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany
| | - Layal Yasin
- Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University and University Hospital Dusseldorf, Germany
| | - Karin Nebral
- Labdia Labordiagnostik, Clinical Genetics, Vienna, Austria
- St. Anna Children´s Cancer Research Institute (CCRI), Vienna, Austria
| | - Jana Ebler
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany
- Center for Digital Medicine, Heinrich-Heine University, Dusseldorf, Germany
| | - Dagmar Schinnerl
- St. Anna Children´s Cancer Research Institute (CCRI), Vienna, Austria
| | - Daniel Picard
- Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University and University Hospital Dusseldorf, Germany
| | - Anke K. Bergmann
- Institute of Human Genetics, Hannover Medical School (MHH), Hannover, Germany
| | - Jubayer Alam
- Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University and University Hospital Dusseldorf, Germany
| | - Stefan Köhrer
- Labdia Labordiagnostik, Clinical Genetics, Vienna, Austria
- St. Anna Children´s Cancer Research Institute (CCRI), Vienna, Austria
| | - Oskar A. Haas
- St. Anna Children’s Hospital, Department of Pediatric Hematology/Oncology, Pediatric Clinic, Medical University, Vienna, Austria
| | - Andishe Attarbaschi
- St. Anna Children´s Cancer Research Institute (CCRI), Vienna, Austria
- St. Anna Children’s Hospital, Department of Pediatric Hematology/Oncology, Pediatric Clinic, Medical University, Vienna, Austria
| | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany
- Center for Digital Medicine, Heinrich-Heine University, Dusseldorf, Germany
| | - Martin Stanulla
- Pediatric Hematology and Oncology, Hannover Medical School (MHH), Hannover, Germany
| | - Arndt Borkhardt
- Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University and University Hospital Dusseldorf, Germany
- German Cancer Consortium (DKTK), partner site Essen/Dusseldorf, Germany
| | - Triantafyllia Brozou
- Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University and University Hospital Dusseldorf, Germany
- German Cancer Consortium (DKTK), partner site Essen/Dusseldorf, Germany
| | - Ute Fischer
- Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University and University Hospital Dusseldorf, Germany
- German Cancer Consortium (DKTK), partner site Essen/Dusseldorf, Germany
| | - Rabea Wagener
- Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich-Heine University and University Hospital Dusseldorf, Germany
- German Cancer Consortium (DKTK), partner site Essen/Dusseldorf, Germany
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Sahajpal NS, Mondal AK, Singh H, Vashisht A, Ananth S, Saul D, Hastie AR, Hilton B, DuPont BR, Savage NM, Kota V, Chaubey A, Cortes JE, Kolhe R. Clinical Utility of Optical Genome Mapping and 523-Gene Next Generation Sequencing Panel for Comprehensive Evaluation of Myeloid Cancers. Cancers (Basel) 2023; 15:3214. [PMID: 37370824 DOI: 10.3390/cancers15123214] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 05/22/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
The standard-of-care (SOC) for genomic testing of myeloid cancers primarily relies on karyotyping/fluorescent in situ hybridization (FISH) (cytogenetic analysis) and targeted gene panels (usually ≤54 genes) that harbor hotspot pathogenic variants (molecular genetic analysis). Despite this combinatorial approach, ~50% of myeloid cancer genomes remain cytogenetically normal, and the limited sequencing variant profiles obtained from targeted panels are unable to resolve the molecular etiology of many myeloid tumors. In this study, we evaluated the performance and clinical utility of combinatorial use of optical genome mapping (OGM) and a 523-gene next-generation sequencing (NGS) panel for comprehensive genomic profiling of 30 myeloid tumors and compared it to SOC cytogenetic methods (karyotyping and FISH) and a 54-gene NGS panel. OGM and the 523-gene NGS panel had an analytical concordance of 100% with karyotyping, FISH, and the 54-gene panel, respectively. Importantly, the IPSS-R cytogenetic risk group changed from very good/good to very poor in 22% of MDS (2/9) cases based on comprehensive profiling (karyotyping, FISH, and 54-gene panel vs. OGM and 523-gene panel), while additionally identifying six compound heterozygous events of potential clinical relevance in six cases (6/30, 20%). This cost-effective approach of using OGM and a 523-gene NGS panel for comprehensive genomic profiling of myeloid cancers demonstrated increased yield of actionable targets that can potentially result in improved clinical outcomes.
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Affiliation(s)
| | - Ashis K Mondal
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Harmanpreet Singh
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Ashutosh Vashisht
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Sudha Ananth
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Daniel Saul
- Bionano Genomics Inc., San Diego, CA 92121, USA
| | | | | | | | - Natasha M Savage
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Vamsi Kota
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | | | - Jorge E Cortes
- Department of Medicine, Georgia Cancer Center, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
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Coccaro N, Anelli L, Zagaria A, Tarantini F, Cumbo C, Tota G, Minervini CF, Minervini A, Conserva MR, Redavid I, Parciante E, Macchia MG, Specchia G, Musto P, Albano F. Feasibility of Optical Genome Mapping in Cytogenetic Diagnostics of Hematological Neoplasms: A New Way to Look at DNA. Diagnostics (Basel) 2023; 13:diagnostics13111841. [PMID: 37296693 DOI: 10.3390/diagnostics13111841] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Optical genome mapping (OGM) is a new genome-wide technology that can reveal both structural genomic variations (SVs) and copy number variations (CNVs) in a single assay. OGM was initially employed to perform genome assembly and genome research, but it is now more widely used to study chromosome aberrations in genetic disorders and in human cancer. One of the most useful OGM applications is in hematological malignancies, where chromosomal rearrangements are frequent and conventional cytogenetic analysis alone is insufficient, necessitating further confirmation using ancillary techniques such as fluorescence in situ hybridization, chromosomal microarrays, or multiple ligation-dependent probe amplification. The first studies tested OGM efficiency and sensitivity for SV and CNV detection, comparing heterogeneous groups of lymphoid and myeloid hematological sample data with those obtained using standard cytogenetic diagnostic tests. Most of the work based on this innovative technology was focused on myelodysplastic syndromes (MDSs), acute myeloid leukemia (AML), and acute lymphoblastic leukemia (ALL), whereas little attention was paid to chronic lymphocytic leukemia (CLL) or multiple myeloma (MM), and none was paid to lymphomas. The studies showed that OGM can now be considered as a highly reliable method, concordant with standard cytogenetic techniques but able to detect novel clinically significant SVs, thus allowing better patient classification, prognostic stratification, and therapeutic choices in hematological malignancies.
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Affiliation(s)
- Nicoletta Coccaro
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Luisa Anelli
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Antonella Zagaria
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Francesco Tarantini
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Cosimo Cumbo
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Giuseppina Tota
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Crescenzio Francesco Minervini
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Angela Minervini
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Maria Rosa Conserva
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Immacolata Redavid
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Elisa Parciante
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Maria Giovanna Macchia
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Giorgina Specchia
- School of Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Pellegrino Musto
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Francesco Albano
- Hematology and Stem Cell Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari "Aldo Moro", 70124 Bari, Italy
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Nilius-eliliwi V, Gerding WM, Schroers R, Nguyen HP, Vangala DB. Optical Genome Mapping for Cytogenetic Diagnostics in AML. Cancers (Basel) 2023; 15:1684. [PMID: 36980569 PMCID: PMC10046241 DOI: 10.3390/cancers15061684] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 02/24/2023] [Accepted: 03/06/2023] [Indexed: 03/12/2023] Open
Abstract
The classification and risk stratification of acute myeloid leukemia (AML) is based on reliable genetic diagnostics. A broad and expanding variety of relevant aberrations are structural variants beyond single-nucleotide variants. Optical Genome Mapping is an unbiased, genome-wide, amplification-free method for the detection of structural variants. In this review, the current knowledge of Optical Genome Mapping (OGM) with regard to diagnostics in hematological malignancies in general, and AML in specific, is summarized. Furthermore, this review focuses on the ability of OGM to expand the use of cytogenetic diagnostics in AML and perhaps even replace older techniques such as chromosomal-banding analysis, fluorescence in situ hybridization, or copy number variation microarrays. Finally, OGM is compared to amplification-based techniques and a brief outlook for future directions is given.
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18
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Iqbal MA, Broeckel U, Levy B, Skinner S, Sahajpal NS, Rodriguez V, Stence A, Awayda K, Scharer G, Skinner C, Stevenson R, Bossler A, Nagy PL, Kolhe R. Multisite Assessment of Optical Genome Mapping for Analysis of Structural Variants in Constitutional Postnatal Cases. J Mol Diagn 2023; 25:175-188. [PMID: 36828597 PMCID: PMC10851778 DOI: 10.1016/j.jmoldx.2022.12.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/13/2022] [Accepted: 12/06/2022] [Indexed: 02/24/2023] Open
Abstract
This study compares optical genome mapping (OGM) performed at multiple sites with current standard-of-care (SOC) methods used in clinical cytogenetics. This study included 50 negative controls and 359 samples from individuals (patients) with suspected genetic conditions referred for cytogenetic testing. OGM was performed using the Saphyr system and Bionano Access software version 1.7. Structural variants, including copy number variants, aneuploidy, and regions of homozygosity, were detected and classified according to American College of Medical Genetics and Genomics guidelines. Repeated expansions in FMR1 and contractions in facioscapulohumeral dystrophy 1 were also analyzed. OGM results were compared with SOC for technical concordance, clinical classification concordance, intrasite and intersite reproducibility, and ability to provide additional, clinically relevant information. Across five testing sites, 98.8% (404/409) of samples yielded successful OGM data for analysis and interpretation. Overall, technical concordance for OGM to detect previously reported SOC results was 99.5% (399/401). The blinded analysis and variant classification agreement between SOC and OGM was 97.6% (364/373). Replicate analysis of 130 structural variations was 100% concordant. On the basis of this demonstration of the analytic validity and clinical utility of OGM by this multisite assessment, the authors recommend this technology as an alternative to existing SOC tests for rapid detection and diagnosis in postnatal constitutional disorders.
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Affiliation(s)
- M Anwar Iqbal
- DNA Microarray CGH Laboratory, Department of Pathology, University of Rochester Medical Center, Rochester, New York
| | - Ulrich Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Brynn Levy
- Columbia University Medical Center, New York, New York
| | | | - Nikhil S Sahajpal
- Greenwood Genetic Center, Greenwood, South Carolina; Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | | | - Aaron Stence
- Department of Pathology, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - Kamel Awayda
- DNA Microarray CGH Laboratory, Department of Pathology, University of Rochester Medical Center, Rochester, New York
| | - Gunter Scharer
- Section of Genomic Pediatrics, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | | | | | | | | | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia.
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19
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Brakta S, Hawkins ZA, Sahajpal N, Seman N, Kira D, Chorich LP, Kim HG, Xu H, Phillips JA, Kolhe R, Layman LC. Rare structural variants, aneuploidies, and mosaicism in individuals with Mullerian aplasia detected by optical genome mapping. Hum Genet 2023; 142:483-494. [PMID: 36797380 DOI: 10.1007/s00439-023-02522-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/06/2023] [Indexed: 02/18/2023]
Abstract
The molecular basis of Mayer-Rokitansky-Kuster-Hauser (MRKH) syndrome remains largely unknown. Pathogenic variants in WNT4 and HNF1B have been confirmed in a small percent of individuals. A variety of copy number variants have been reported, but causal gene(s) remain to be identified. We hypothesized that rare structural variants (SVs) would be present in some individuals with MRKH, which could explain the genetic basis of the syndrome. Large molecular weight DNA was extracted from lymphoblastoid cells from 87 individuals with MRKH and available parents. Optical genome mapping (OGM) was performed to identify SVs, which were confirmed by another method (quantitative PCR, chromosomal microarray, karyotype, or fluorescent in situ hybridization) when possible. Thirty-four SVs that overlapped coding regions of genes with potential involvement in MRKH were identified, 14 of which were confirmed by a second method. These 14 SVs were present in 17/87 (19.5%) of probands with MRKH and included seven deletions, three duplications, one new translocation in 5/50 cells-t(7;14)(q32;q32), confirmation of a previously identified translocation-t(3;16)(p22.3;p13.3), and two aneuploidies. Of interest, three cases of mosaicism (3.4% of probands) were identified-25% mosaicism for trisomy 12, 45,X(75%)/46,XX (25%), and 10% mosaicism for a 7;14 translocation. Our study constitutes the first systematic investigation of SVs by OGM in individuals with MRKH. We propose that OGM is a promising method that enables a comprehensive investigation of a variety of SVs in a single assay including cryptic translocations and mosaic aneuploidies. These observations suggest that mosaicism could play a role in the genesis of MRKH.
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Affiliation(s)
- Soumia Brakta
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia.
| | - Zoe A Hawkins
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Nikhil Sahajpal
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia.,Department of Genetics, Greenwood Genetics Center, Greenwood, SC, USA
| | - Natalie Seman
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Dina Kira
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Lynn P Chorich
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Hyung-Goo Kim
- Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Hongyan Xu
- Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - John A Phillips
- Division of Medical Genetics and Genomic Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Lawrence C Layman
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia. .,Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia. .,Department of Physiology, Medical College of Georgia, Augusta University, Augusta, Georgia.
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20
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Valkama A, Vorimo S, Kumpula TA, Räsänen H, Savolainen ER, Pylkäs K, Mantere T. Optical Genome Mapping as an Alternative to FISH-Based Cytogenetic Assessment in Chronic Lymphocytic Leukemia. Cancers (Basel) 2023; 15. [PMID: 36831635 DOI: 10.3390/cancers15041294] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/08/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
The fluorescence in situ hybridization (FISH) technique plays an important role in the risk stratification and clinical management of patients with chronic lymphocytic leukemia (CLL). For genome-wide analysis, FISH needs to be complemented with other cytogenetic methods, including karyotyping and/or chromosomal microarrays. However, this is often not feasible in a diagnostic setup. Optical genome mapping (OGM) is a novel technique for high-resolution genome-wide detection of structural variants (SVs), and previous studies have indicated that OGM could serve as a generic cytogenetic tool for hematological malignancies. Herein, we report the results from our study evaluating the concordance of OGM and standard-of-care FISH in 18 CLL samples. The results were fully concordant between these two techniques in the blinded comparison. Using in silico dilution series, the lowest limit of detection with OGM was determined to range between 3 and 9% variant allele fractions. Genome-wide analysis by OGM revealed additional (>1 Mb) aberrations in 78% of the samples, including both unbalanced and balanced SVs. Importantly, OGM also enabled the detection of clinically relevant complex karyotypes, undetectable by FISH, in three samples. Overall, this study demonstrates the potential of OGM as a first-tier cytogenetic test for CLL and as a powerful tool for genome-wide SV analysis.
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