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Gourmel A, Perrault H, Colaiacovo ML, Laramée L, Rozendaal M, Bittencourt H, Laverdière C, Champagne J, Cellot S, Silverman LB, Lemyre E, Maftei C, Mathonnet G, Tihy F, Pelland-Marcotte MC, Léveillé F, Tran TH. The impact of comparative genomic hybridization/single-nucleotide polymorphism microarray in risk stratification of pediatric acute lymphoblastic leukemia. Pediatr Blood Cancer 2024:e31129. [PMID: 38952259 DOI: 10.1002/pbc.31129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 04/18/2024] [Accepted: 05/20/2024] [Indexed: 07/03/2024]
Abstract
BACKGROUND The objective of this study is to assess the concordance and added value of combined comparative genomic hybridization plus single-nucleotide polymorphism microarray (CGH/SNP) analyses in pediatric acute lymphoblastic leukemia (ALL) risk stratification compared to conventional cytogenetic methods. PROCEDURE This is a retrospective study that included patients aged 1-18 years diagnosed with de novo ALL at Sainte-Justine Hospital between 2016 and 2021. Results from conventional cytogenetic and molecular analyses were collected and compared to those of CGH/SNP. RESULTS A total of 135 ALL patients were included. Sample failures or non-diagnostic analyses occurred in 17.8% cases with G-banding karyotypes versus 1.5% cases with CGH/SNP. The mean turnaround time for results was significantly faster for CGH/SNP than karyotype with 5.8 versus 10.7 days, respectively. The comparison of ploidy assessment by CGH/SNP and G-banding karyotype showed strong concordance (r = .82, p < .001, r2 = .68). Furthermore, G-banding karyotype did not detect additional clinically relevant aberrations that were missed by the combined analysis of CGH/SNP and fluorescence in situ hybridization. The most common gene alterations detected by CGH/SNP were deletions involving CDKN2A (35.8%), ETV6 (31.3%), CDKN2B (28.4%), PAX5 (20.1%), IKZF1 (12.7%), and copy-neutral loss of heterozygosity (CN-LOH) of 9p (9.0%). Among these, only ETV6 deletion was found to have a significant prognostic impact with superior event-free survival in both univariate and multivariate analyses (adjusted hazard ratio 0.08, 95% confidence interval: 0.01-0.50, p = .02). CONCLUSION CGH/SNP provided faster, reliable, and highly concordant results than those obtained by conventional cytogenetics. CGH/SNP identified recurrent gene deletions in pediatric ALL, of which ETV6 deletion conferred a favorable prognosis.
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Affiliation(s)
- Antoine Gourmel
- Division of Pediatric Hematology-Oncology, Charles-Bruneau Cancer Center, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Héloïse Perrault
- Division of Pediatric Hematology-Oncology, Charles-Bruneau Cancer Center, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Marie-Laure Colaiacovo
- Division of Pediatric Hematology-Oncology, Charles-Bruneau Cancer Center, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Louise Laramée
- Axis of Immune Diseases and Cancer, CHU Sainte-Justine Research Center, Montréal, Québec, Canada
| | - Marieke Rozendaal
- Axis of Immune Diseases and Cancer, CHU Sainte-Justine Research Center, Montréal, Québec, Canada
| | - Henrique Bittencourt
- Division of Pediatric Hematology-Oncology, Charles-Bruneau Cancer Center, CHU Sainte-Justine, Montréal, Québec, Canada
- Axis of Immune Diseases and Cancer, CHU Sainte-Justine Research Center, Montréal, Québec, Canada
| | - Caroline Laverdière
- Division of Pediatric Hematology-Oncology, Charles-Bruneau Cancer Center, CHU Sainte-Justine, Montréal, Québec, Canada
- Axis of Immune Diseases and Cancer, CHU Sainte-Justine Research Center, Montréal, Québec, Canada
| | - Josette Champagne
- Division of Pediatric Hematology-Oncology, Charles-Bruneau Cancer Center, CHU Sainte-Justine, Montréal, Québec, Canada
- Axis of Immune Diseases and Cancer, CHU Sainte-Justine Research Center, Montréal, Québec, Canada
| | - Sonia Cellot
- Division of Pediatric Hematology-Oncology, Charles-Bruneau Cancer Center, CHU Sainte-Justine, Montréal, Québec, Canada
- Axis of Immune Diseases and Cancer, CHU Sainte-Justine Research Center, Montréal, Québec, Canada
| | - Lewis B Silverman
- Division of Pediatric Oncology, Dana-Farber Cancer Institute, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Emmanuelle Lemyre
- Department of Laboratory Medicine, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Catalina Maftei
- Department of Laboratory Medicine, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Géraldine Mathonnet
- Department of Laboratory Medicine, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Frédérique Tihy
- Department of Laboratory Medicine, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Marie-Claude Pelland-Marcotte
- Division of Hematology/Oncology, Department of Pediatrics, CHU de Québec-Centre Mère Enfant-Soleil, Québec City, Québec, Canada
| | - France Léveillé
- Department of Laboratory Medicine, CHU Sainte-Justine, Montréal, Québec, Canada
| | - Thai Hoa Tran
- Division of Pediatric Hematology-Oncology, Charles-Bruneau Cancer Center, CHU Sainte-Justine, Montréal, Québec, Canada
- Axis of Immune Diseases and Cancer, CHU Sainte-Justine Research Center, Montréal, Québec, Canada
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Montironi C, Chen Z, Derks IA, Cretenet G, Krap EA, Eldering E, Simon-Molas H. Metabolic signature and response to glutamine deprivation are independent of p53 status in B cell malignancies. iScience 2024; 27:109640. [PMID: 38680661 PMCID: PMC11053310 DOI: 10.1016/j.isci.2024.109640] [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: 06/26/2023] [Revised: 01/03/2024] [Accepted: 03/26/2024] [Indexed: 05/01/2024] Open
Abstract
The tumor suppressor p53 has been described to control various aspects of metabolic reprogramming in solid tumors, but in B cell malignancies that role is as yet unknown. We generated pairs of p53 functional and knockout (KO) clones from distinct B cell malignancies (acute lymphoblastic leukemia, chronic lymphocytic leukemia, diffuse large B cell lymphoma, and multiple myeloma). Metabolomics and isotope tracing showed that p53 loss did not drive a common metabolic signature. Instead, cell lines segregated according to cell of origin. Next, we focused on glutamine as a crucial energy source in the B cell tumor microenvironment. In both TP53 wild-type and KO cells, glutamine deprivation induced cell death through the integrated stress response, via CHOP/ATF4. Lastly, combining BH3 mimetic drugs with glutamine starvation emerged as a possibility to target resistant clones. In conclusion, our analyses do not support a common metabolic signature of p53 deficiency in B cell malignancies and suggest therapeutic options for exploration based on glutamine dependency.
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Affiliation(s)
- Chiara Montironi
- Amsterdam UMC Location University of Amsterdam, Department of Experimental Immunology, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Cancer Immunology, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Immunology, Amsterdam, the Netherlands
| | - Zhenghao Chen
- Amsterdam UMC Location University of Amsterdam, Department of Experimental Immunology, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Cancer Immunology, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Immunology, Amsterdam, the Netherlands
| | - Ingrid A.M. Derks
- Amsterdam UMC Location University of Amsterdam, Department of Experimental Immunology, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Cancer Immunology, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Immunology, Amsterdam, the Netherlands
| | - Gaspard Cretenet
- Amsterdam UMC Location University of Amsterdam, Department of Experimental Immunology, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Cancer Immunology, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Immunology, Amsterdam, the Netherlands
| | - Esmée A. Krap
- Amsterdam UMC Location University of Amsterdam, Department of Experimental Immunology, Amsterdam, the Netherlands
| | - Eric Eldering
- Amsterdam UMC Location University of Amsterdam, Department of Experimental Immunology, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Cancer Immunology, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Immunology, Amsterdam, the Netherlands
| | - Helga Simon-Molas
- Amsterdam UMC Location University of Amsterdam, Department of Experimental Immunology, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Cancer Immunology, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Cancer Immunology, Amsterdam, the Netherlands
- Amsterdam UMC Location University of Amsterdam, Department of Hematology, Amsterdam, the Netherlands
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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] [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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Brunetti M, Andersen K, Spetalen S, Lenartova A, Osnes LTN, Vålerhaugen H, Heim S, Micci F. NUP214 fusion genes in acute leukemias: genetic characterization of rare cases. Front Oncol 2024; 14:1371980. [PMID: 38571499 PMCID: PMC10987735 DOI: 10.3389/fonc.2024.1371980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/08/2024] [Indexed: 04/05/2024] Open
Abstract
Introduction Alterations of the NUP214 gene (9q34) are recurrent in acute leukemias. Rearrangements of chromosomal band 9q34 targeting this locus can be karyotypically distinct, for example t(6;9)(p22;q34)/DEK::NUP214, or cryptic, in which case no visible change of 9q34 is seen by chromosome banding. Methods We examined 9 cases of acute leukemia with NUP214 rearrangement by array Comparative Genomic Hybridization (aCGH), reverse-transcription polymerase chain reaction (RT-PCR), and cycle sequencing/Sanger sequencing to detect which fusion genes had been generated. Results The chimeras DEK::NUP214, SET::NUP214, and NUP214::ABL1 were found, only the first of which can be readily detected by karyotyping. Discussion The identification of a specific NUP214 rearrangement is fundamental in the management of these patients, i.e., AMLs with DEK::NUP214 are classified as an adverse risk group and might be considered for allogenic transplant. Genome- and/or transcriptome-based next generation sequencing (NGS) techniques can be used to screen for these fusions, but we hereby present an alternative, step-wise procedure to detect these rearrangements.
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Affiliation(s)
- Marta Brunetti
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Kristin Andersen
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Signe Spetalen
- Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Andrea Lenartova
- Department of Haematology, Oslo University Hospital, Oslo, Norway
| | | | - Helen Vålerhaugen
- Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Sverre Heim
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
| | - Francesca Micci
- Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway
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Lestringant V, Guermouche-Flament H, Jimenez-Pocquet M, Gaillard JB, Penther D. Cytogenetics in the management of hematological malignancies: An overview of alternative technologies for cytogenetic characterization. Curr Res Transl Med 2024; 72:103440. [PMID: 38447270 DOI: 10.1016/j.retram.2024.103440] [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: 07/10/2023] [Revised: 12/22/2023] [Accepted: 01/11/2024] [Indexed: 03/08/2024]
Abstract
Genomic characterization is an essential part of the clinical management of hematological malignancies for diagnostic, prognostic and therapeutic purposes. Although CBA and FISH are still the gold standard in hematology for the detection of CNA and SV, some alternative technologies are intended to complement their deficiencies or even replace them in the more or less near future. In this article, we provide a technological overview of these alternatives. CMA is the historical and well established technique for the high-resolution detection of CNA. For SV detection, there are emerging techniques based on the study of chromatin conformation and more established ones such as RTMLPA for the detection of fusion transcripts and RNA-seq to reveal the molecular consequences of SV. Comprehensive techniques that detect both CNA and SV are the most interesting because they provide all the information in a single examination. Among these, OGM is a promising emerging higher-solution technique that offers a complete solution at a contained cost, at the expense of a relatively low throughput per machine. WGS remains the most adaptable solution, with long-read approaches enabling very high-resolution detection of CAs, but requiring a heavy bioinformatics installation and at a still high cost. However, the development of high-resolution genome-wide detection techniques for CAs allows for a much better description of chromoanagenesis. Therefore, we have included in this review an update on the various existing mechanisms and their consequences and implications, especially prognostic, in hematological malignancies.
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Affiliation(s)
| | | | | | - Jean-Baptiste Gaillard
- Unité de Génétique Chromosomique, Service de Génétique moléculaire et cytogénomique, CHU Montpellier, Montpellier, France
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Risinskaya N, Gladysheva M, Abdulpatakhov A, Chabaeva Y, Surimova V, Aleshina O, Yushkova A, Dubova O, Kapranov N, Galtseva I, Kulikov S, Obukhova T, Sudarikov A, Parovichnikova E. DNA Copy Number Alterations and Copy Neutral Loss of Heterozygosity in Adult Ph-Negative Acute B-Lymphoblastic Leukemia: Focus on the Genes Involved. Int J Mol Sci 2023; 24:17602. [PMID: 38139431 PMCID: PMC10744257 DOI: 10.3390/ijms242417602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/08/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023] Open
Abstract
The landscape of chromosomal aberrations in the tumor cells of the patients with B-ALL is diverse and can influence the outcome of the disease. Molecular karyotyping at the onset of the disease using chromosomal microarray (CMA) is advisable to identify additional molecular factors associated with the prognosis of the disease. Molecular karyotyping data for 36 patients with Ph-negative B-ALL who received therapy according to the ALL-2016 protocol are presented. We analyzed copy number alterations and their prognostic significance for CDKN2A/B, DMRTA, DOCK8, TP53, SMARCA2, PAX5, XPA, FOXE1, HEMGN, USP45, RUNX1, NF1, IGF2BP1, ERG, TMPRSS2, CRLF2, FGFR3, FLNB, IKZF1, RUNX2, ARID1B, CIP2A, PIK3CA, ATM, RB1, BIRC3, MYC, IKZF3, ETV6, ZNF384, PTPRJ, CCL20, PAX3, MTCH2, TCF3, IKZF2, BTG1, BTG2, RAG1, RAG2, ELK3, SH2B3, EP300, MAP2K2, EBI3, MEF2D, MEF2C, CEBPA, and TBLXR1 genes, choosing t(4;11) and t(7;14) as reference events. Of the 36 patients, only 5 (13.8%) had a normal molecular karyotype, and 31 (86.2%) were found to have various molecular karyotype abnormalities-104 deletions, 90 duplications or amplifications, 29 cases of cnLOH and 7 biallelic/homozygous deletions. We found that 11q22-23 duplication involving the BIRC3, ATM and MLL genes was the most adverse prognostic event in the study cohort.
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Affiliation(s)
- Natalya Risinskaya
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Maria Gladysheva
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Abdulpatakh Abdulpatakhov
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Yulia Chabaeva
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Valeriya Surimova
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Olga Aleshina
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Anna Yushkova
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Olga Dubova
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
- Institute of Biodesign and Modeling of Complex Systems, I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia
| | - Nikolay Kapranov
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Irina Galtseva
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Sergey Kulikov
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Tatiana Obukhova
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Andrey Sudarikov
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
| | - Elena Parovichnikova
- National Medical Research Center for Hematology, 125167 Moscow, Russia; (M.G.); (A.A.); (Y.C.); (V.S.); (O.A.); (A.Y.); (O.D.); (N.K.); (I.G.); (S.K.); (A.S.); (E.P.)
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Scarpelli I, Stalder VB, Tsilimidos G, Rapakko K, Costanza M, Blum S, Schoumans J. Refined cytogenetic IPSS-R evaluation by the use of SNP array in a cohort of 290 MDS patients. Genes Chromosomes Cancer 2023; 62:721-731. [PMID: 37449676 DOI: 10.1002/gcc.23191] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/18/2023] Open
Abstract
Genetic testing plays a central role in myelodysplastic neoplasms (MDS) diagnosis, prognosis, and therapeutic decisions. The widely applied cytogenetic revised international prognostic scoring system (IPSS-R) was based on chromosome banding analysis (CBA). However, subsequently developed genetic methodologies, such as single nucleotide polymorphism (SNP) array, demonstrated to be a valid alternative test for MDS. SNP array is, in fact, able to detect the majority of MDS-associated cytogenetic aberrations, by providing further genomic information due to its higher resolution. In this study, 290 samples from individuals with a confirmed or suspected diagnosis of MDS were tested by both CBA and SNP array, in order to evaluate and compare their cytogenetic IPSS-R score in the largest MDS cohort reported so far. A concordant or better refined cytogenetic IPSS-R array-based score was obtained for 95% of cases (277). Therefore, this study confirms the effective applicability of SNP array toward the cytogenetic IPSS-R evaluation and consequently, toward the molecular international prognostic scoring system for MDS (IPSS-M) assessment, which ensures an improved MDS risk stratification refinement. Considering the advent of additional genetic technologies interrogating the whole genome with increased resolutions, counting cytogenetic abnormalities based on their size may result in a simplistic approach. On the contrary, assessing overall genomic complexity may provide additional crucial information. Independently of the technology used, genetic results should indeed aim at ensuring a highly refined stratification for MDS patients.
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Affiliation(s)
- Ilaria Scarpelli
- Oncogenomic laboratory, Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Valérie Beyer Stalder
- Oncogenomic laboratory, Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Gerasimos Tsilimidos
- Hematology Service and Central Laboratory of Hematology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Katrin Rapakko
- Oncogenomic laboratory, Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Mariangela Costanza
- Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Sabine Blum
- Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jacqueline Schoumans
- Oncogenomic laboratory, Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
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8
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Rigolin GM, Traversa A, Caputo V, Del Giudice I, Bardi A, Saccenti E, Raponi S, Ilari C, Cafforio L, Giovannetti A, Pizzuti A, Guarini A, Foà R, Cuneo A. Additional lesions identified by genomic microarrays are associated with an inferior outcome in low-risk chronic lymphocytic leukaemia patients. Br J Haematol 2023; 202:953-959. [PMID: 37357817 DOI: 10.1111/bjh.18946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/31/2023] [Accepted: 06/07/2023] [Indexed: 06/27/2023]
Abstract
We explored the relevance of genomic microarrays (GM) in the refinement of prognosis in newly diagnosed low-risk chronic lymphocytic leukaemia (CLL) patients as defined by isolated del(13q) or no lesions by a standard 4 probe fluorescence in situ hybridization (FISH) analysis. Compared to FISH, additional lesions were detected by GM in 27 of the 119 patients (22.7%). The concordance rate between FISH and GM was 87.4%. Discordant results between cytogenetic banding analysis (CBA) and GM were observed in 45/119 cases (37.8%) and were mainly due to the intrinsic characteristics of each technique. The presence of additional lesions by GM was associated with age > 65 years (p = 0.047), advanced Binet stage (p = 0.001), CLL-IPI score (p < 0.001), a complex karyotype (p = 0.004) and a worse time-to-first treatment in multivariate analysis (p = 0.009). Additional lesions by GM were also significantly associated with a worse time-to-first treatment in the subset of patients with wild-type TP53 and mutated IGHV (p = 0.025). In CLL patients with low-risk features, the presence of additional lesions identified by GM helps to identify a subset of patients with a worse outcome that could be proposed for a risk-adapted follow-up and for early treatment including targeted agents within clinical trials.
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Affiliation(s)
| | - Alice Traversa
- Department of Experimental Medicine, Sapienza University, Rome, Italy
| | - Viviana Caputo
- Department of Experimental Medicine, Sapienza University, Rome, Italy
| | - Ilaria Del Giudice
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Antonella Bardi
- Hematology Section, St. Anna University Hospital, Ferrara, Italy
| | - Elena Saccenti
- Hematology Section, St. Anna University Hospital, Ferrara, Italy
| | - Sara Raponi
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Caterina Ilari
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Luciana Cafforio
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
- GenomeUp S.r.l., Rome, Italy
| | - Agnese Giovannetti
- Clinical Genomics Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, S. Giovanni Rotondo, Italy
| | - Antonio Pizzuti
- Department of Experimental Medicine, Sapienza University, Rome, Italy
| | - Anna Guarini
- Department of Molecular Medicine, Sapienza University, Rome, Italy
| | - Robin Foà
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Antonio Cuneo
- Hematology Section, St. Anna University Hospital, Ferrara, Italy
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9
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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] [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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10
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Díaz-González Á, Mora E, Avetisyan G, Furió S, De la Puerta R, Gil JV, Liquori A, Villamón E, García-Hernández C, Santiago M, García-Ruiz C, Llop M, Ferrer-Lores B, Barragán E, García-Palomares S, Mayordomo E, Luna I, Vicente A, Cordón L, Senent L, Álvarez-Larrán A, Cervera J, De la Rubia J, Hernández-Boluda JC, Such E. Cytogenetic Assessment and Risk Stratification in Myelofibrosis with Optical Genome Mapping. Cancers (Basel) 2023; 15:cancers15113039. [PMID: 37297002 DOI: 10.3390/cancers15113039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 05/09/2023] [Accepted: 06/01/2023] [Indexed: 06/12/2023] Open
Abstract
Cytogenetic assessment in myelofibrosis is essential for risk stratification and patient management. However, an informative karyotype is unavailable in a significant proportion of patients. Optical genome mapping (OGM) is a promising technique that allows for a high-resolution assessment of chromosomal aberrations (structural variants, copy number variants, and loss of heterozygosity) in a single workflow. In this study, peripheral blood samples from a series of 21 myelofibrosis patients were analyzed via OGM. We assessed the clinical impact of the application of OGM for disease risk stratification using the DIPSS-plus, GIPSS, and MIPSS70+v2 prognostic scores compared with the standard-of-care approach. OGM, in combination with NGS, allowed for risk classification in all cases, compared to only 52% when conventional techniques were used. Cases with unsuccessful karyotypes (n = 10) using conventional techniques were fully characterized using OGM. In total, 19 additional cryptic aberrations were identified in 9 out of 21 patients (43%). No alterations were found via OGM in 4/21 patients with previously normal karyotypes. OGM upgraded the risk category for three patients with available karyotypes. This is the first study using OGM in myelofibrosis. Our data support that OGM is a valuable tool that can greatly contribute to improve disease risk stratification in myelofibrosis patients.
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Affiliation(s)
- Álvaro Díaz-González
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
| | - Elvira Mora
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Department of Hematology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Gayane Avetisyan
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
| | - Santiago Furió
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Department of Hematology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | | | - José Vicente Gil
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
| | - Alessandro Liquori
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
| | - Eva Villamón
- Department of Hematology, Hospital Clínico Universitario-INCLIVA, 46010 Valencia, Spain
| | | | - Marta Santiago
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Department of Hematology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Cristian García-Ruiz
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
| | - Marta Llop
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
- Molecular Biology Unit, Clinical Analysis Service, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Blanca Ferrer-Lores
- Department of Hematology, Hospital Clínico Universitario-INCLIVA, 46010 Valencia, Spain
| | - Eva Barragán
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
- Molecular Biology Unit, Clinical Analysis Service, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Silvia García-Palomares
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
| | - Empar Mayordomo
- Pathology Department, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Irene Luna
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Department of Hematology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Ana Vicente
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Department of Hematology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Lourdes Cordón
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
| | - Leonor Senent
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Department of Hematology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
| | | | - José Cervera
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Department of Hematology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
- Genetics Department, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Javier De la Rubia
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Department of Hematology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
- School of Medicine and Dentistry, Catholic University of Valencia, 46001 Valencia, Spain
| | | | - Esperanza Such
- Hematology Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain
- Department of Hematology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
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11
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Mallo M, Tuechler H, Arenillas L, Raynaud S, Cluzeau T, Shih L, Tung‐Liang C, Ganster C, Shirneshan K, Haase D, Mascaró M, Palomo L, Cervera J, Such E, Trim N, Jeffries S, Ridgway E, Marconi G, Martinelli G, Solé F. Regions of homozygosity confer a worse prognostic impact in myelodysplastic syndrome with normal karyotype. EJHAEM 2023; 4:446-449. [PMID: 37206269 PMCID: PMC10188467 DOI: 10.1002/jha2.651] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 01/18/2023] [Indexed: 05/21/2023]
Abstract
Half of the myelodysplastic syndromes (MDS) have normal karyotype by conventional banding analysis. The percentage of true normal karyotype cases can be reduced by 20-30% with the complementary application of genomic microarrays. We here present a multicenter collaborative study of 163 MDS cases with a normal karyotype (≥10 metaphases) at diagnosis. All cases were analyzed with the ThermoFisher® microarray (either SNP 6.0 or CytoScan HD) for the identification of both copy number alteration(CNA) and regions of homozygosity (ROH). Our series supports that 25 Mb cut-off as having the most prognostic impact, even after adjustment by IPSS-R. This study highlights the importance of microarrays in MDS patients, to detect CNAs and especially to detect acquired ROH which has demonstrated a high prognostic impact.
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Affiliation(s)
- Mar Mallo
- MDS Research GroupInstitut de Recerca Contra la Leucèmia Josep Carreras (IJC)ICO‐Hospital Germans Trias i PujolUniversitat Autònoma de BarcelonaBadalonaSpain
- Microarrays UnitInstitut de Recerca Contra la Leucèmia Josep Carreras (IJC)ICO‐Hospital Germans Trias i PujolUniversitat Autònoma de BarcelonaBadalonaSpain
| | - Heinz Tuechler
- Boltzmann Institute for Leukaemia Research and HematologyViennaAustria
| | - Leonor Arenillas
- Hematological Cytology LaboratoryPathology DepartmentHospital del MarGRETNHE, IMIM (Hospital del Mar Research Institute)BarcelonaSpain
| | - Sophie Raynaud
- Hematology DepartmentCote d'Azur UniversityCHU of NiceNiceFrance
| | - Thomas Cluzeau
- Hematology DepartmentCote d'Azur UniversityCHU of NiceNiceFrance
| | - Lee‐Yung Shih
- Division of HematologyChang Gung Memorial Hospital‐LinkuoChang Gung UniversityTaoyuan CityTaiwan
| | - Chiang Tung‐Liang
- Division of HematologyChang Gung Memorial Hospital‐LinkuoChang Gung UniversityTaoyuan CityTaiwan
| | - Christina Ganster
- Clinics of Hematology and Medical OncologyUniversity Medical Center GöttingenGöttingenGermany
| | - Katayoon Shirneshan
- Clinics of Hematology and Medical OncologyUniversity Medical Center GöttingenGöttingenGermany
| | - Detlef Haase
- Clinics of Hematology and Medical OncologyUniversity Medical Center GöttingenGöttingenGermany
| | - Martí Mascaró
- Hematology ServiceHospital Son LlàtzerPalma de MallorcaSpain
| | - Laura Palomo
- Experimental HematologyVall d'Hebron Institute of Oncology (VHIO)Vall d'Hebron Barcelona Hospital CampusBarcelonaSpain
| | - José Cervera
- Hematology ServiceHospital Universitario La FeValenciaSpain
| | - Esperanza Such
- Hematology ServiceHospital Universitario La FeValenciaSpain
| | - Nicola Trim
- West Midlands Regional Genetics LaboratoryBirmingham Women's HospitalBirminghamUK
| | - Sally Jeffries
- West Midlands Regional Genetics LaboratoryBirmingham Women's HospitalBirminghamUK
| | - Emma Ridgway
- West Midlands Regional Genetics LaboratoryBirmingham Women's HospitalBirminghamUK
| | - Giovanni Marconi
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”MeldolaItaly
| | - Giovanni Martinelli
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”MeldolaItaly
| | - Francesc Solé
- MDS Research GroupInstitut de Recerca Contra la Leucèmia Josep Carreras (IJC)ICO‐Hospital Germans Trias i PujolUniversitat Autònoma de BarcelonaBadalonaSpain
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12
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Five Percent Variant Allele Frequency Is a Reliable Reporting Threshold for TP53 Variants Detected by Next Generation Sequencing in Chronic Lymphocytic Leukemia in the Clinical Setting. Hemasphere 2022; 6:e761. [PMID: 35935605 PMCID: PMC9348859 DOI: 10.1097/hs9.0000000000000761] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 07/06/2022] [Indexed: 11/28/2022] Open
Abstract
The clinical significance of small TP53 clones detected with next generation sequencing (NGS) in chronic lymphocytic leukemia is an issue of active debate. According to the official guidelines, treatment decisions should be guided only by variants with variant allele frequency (VAF) ≥10%. We present data on 325 consecutive patients with chronic lymphocytic leukemia analyzed with NGS. In total 47 pathogenic/likely pathogenic (P/LP), TP53 variants were detected in 26 patients (8%). Eleven of these (23%) were in the 5% to 10% VAF range and reported according to our institutional policy. All TP53 variants in the 5% to 10% VAF range were confirmed (100% concordance) with a second NGS panel. Our results where further validated with the performance of Sanger sequencing and digital droplet PCR (ddPCR). In 12 patients with available fluorescence in situ hybridization data and TP53 mutations within 5% to 10% VAF, deletion of chromosome 17p (del(17p)) was detectable in only 1 patient. We propose a robust diagnostic algorithm, which allows the safe detection and reporting of TP53 variants with VAF down to 5% in the clinical setting. Our study provides evidence that NGS is equally potent to detect variants with VAF 5% to 10% compared to those with VAF 10% to 15%, highlighting the urgent need for harmonization of NGS methodologies across diagnostic laboratories.
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13
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Lyu X, Li T, Zhu D, Cheng Y, Chen Y, He X, Li Z, Li S, Wu W, Geng S, Zhang M, Yao C, Li J, Li Y, Chang Y, Li Y, Zhu Z, Mao M, Song Y. Whole-genome sequencing as an alternative to analyze copy number abnormalities in acute myeloid leukemia and myelodysplastic syndrome. Leuk Lymphoma 2022; 63:2301-2310. [PMID: 35695096 DOI: 10.1080/10428194.2022.2080821] [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: 10/18/2022]
Abstract
Copy number aberrations (CNA) are the core determinants for diagnosis, risk stratification and prognosis in acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). In this study, a shallow whole-genome sequencing-based assay, LeukoPrint, was utilized to depict genomic CNA profiles from the bone marrow of 137 newly diagnosed AML/MDS patients. It demonstrated 98.1% concordance of CNA profiles with cytogenetics and/or fluorescence in situ hybridization (FISH). It is advantageous in detecting CNAs of short segments (1 Mb) and from samples with low leukemic cell content, more accurate for describing complex karyotypes and less confounded by subjective bias. LeukoPrint improved the overall diagnostic yield by redefining the risk categories for 16 patients by presenting new information. In summary, LeukoPrint provided an automated, convenient, and cost-effective approach to describe genomic CNA profiles. It brought greater diagnostic yield and risk stratification information by incorporating into the routine cytogenetics based on the CNA-related criteria of standard ELN/IPSS-R guidelines.
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Affiliation(s)
- Xiaodong Lyu
- Central Laboratory, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Tao Li
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Dandan Zhu
- Clinical Laboratories, Shenyou Bio, Zhengzhou, China
| | - Yuexin Cheng
- Department of Hematology, Yancheng No. 1 People's Hospital, Yancheng, China.,Department of Hematology, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, China
| | - Yan Chen
- Research & Development, SeekIn Inc., Shenzhen, China
| | - Xiangxiang He
- Clinical Laboratories, Shenyou Bio, Zhengzhou, China
| | - Zhenling Li
- Department of Hematology, China-Japan Friendship Hospital, Beijing, China
| | - Shiyong Li
- Research & Development, SeekIn Inc., Shenzhen, China
| | - Wei Wu
- Research & Development, SeekIn Inc., Shenzhen, China
| | | | - Mengna Zhang
- Clinical Laboratories, Shenyou Bio, Zhengzhou, China
| | - Chunxiao Yao
- Clinical Laboratories, Shenyou Bio, Zhengzhou, China
| | - Jingshuai Li
- Clinical Laboratories, Shenyou Bio, Zhengzhou, China
| | - Yangwei Li
- Central Laboratory, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Yinyin Chang
- Clinical Laboratories, Shenyou Bio, Zhengzhou, China
| | - Yuchun Li
- Central Laboratory, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Zunmin Zhu
- Department of Hematology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Mao Mao
- Research & Development, SeekIn Inc., Shenzhen, China.,Yonsei Song-Dang Institute for Cancer Research, Yonsei University, Seoul, Korea
| | - Yongping Song
- Central Laboratory, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
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14
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Rack K, Bie J, Ameye G, Gielen O, Demeyer S, Cools J, Keersmaecker K, Vermeesch JR, Maertens J, Segers H, Michaux L, Dewaele B. Optimizing the diagnostic workflow for acute lymphoblastic leukemia by optical genome mapping. Am J Hematol 2022; 97:548-561. [PMID: 35119131 PMCID: PMC9314940 DOI: 10.1002/ajh.26487] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 01/28/2022] [Accepted: 02/01/2022] [Indexed: 12/11/2022]
Abstract
Acute lymphoblastic leukemia (ALL) is a malignancy that can be subdivided into distinct entities based on clinical, immunophenotypic and genomic features, including mutations, structural variants (SVs), and copy number alterations (CNA). Chromosome banding analysis (CBA) and Fluorescent In‐Situ Hybridization (FISH) together with Multiple Ligation‐dependent Probe Amplification (MLPA), array and PCR‐based methods form the backbone of routine diagnostics. This approach is labor‐intensive, time‐consuming and costly. New molecular technologies now exist that can detect SVs and CNAs in one test. Here we apply one such technology, optical genome mapping (OGM), to the diagnostic work‐up of 41 ALL cases. Compared to our standard testing pathway, OGM identified all recurrent CNAs and SVs as well as additional recurrent SVs and the resulting fusion genes. Based on the genomic profile obtained by OGM, 32 patients could be assigned to one of the major cytogenetic risk groups compared to 23 with the standard approach. The latter identified 24/34 recurrent chromosomal abnormalities, while OGM identified 33/34, misinterpreting only 1 case with low hypodiploidy. The results of MLPA were concordant in 100% of cases. Overall, there was excellent concordance between the results. OGM increased the detection rate and cytogenetic resolution, and abrogated the need for cascade testing, resulting in reduced turnaround times. OGM also provided opportunities for better patient stratification and accurate treatment options. However, for comprehensive cytogenomic testing, OGM still needs to be complemented with CBA or SNP‐array to detect ploidy changes and with BCR::ABL1 FISH to assign patients as soon as possible to targeted therapy.
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Affiliation(s)
- Katrina Rack
- Laboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics University Hospitals Leuven Leuven Belgium
| | - Jolien Bie
- Laboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics University Hospitals Leuven Leuven Belgium
- Laboratory for the Molecular Biology of Leukemia KU Leuven Leuven Belgium
| | - Geneviève Ameye
- Laboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics University Hospitals Leuven Leuven Belgium
| | - Olga Gielen
- Laboratory for the Molecular Biology of Leukemia KU Leuven Leuven Belgium
- Centre for Cancer Biology Flemish Institute for Biotechnology (VIB) Leuven Belgium
| | - Sofie Demeyer
- Laboratory for the Molecular Biology of Leukemia KU Leuven Leuven Belgium
- Centre for Cancer Biology Flemish Institute for Biotechnology (VIB) Leuven Belgium
| | - Jan Cools
- Laboratory for the Molecular Biology of Leukemia KU Leuven Leuven Belgium
- Centre for Cancer Biology Flemish Institute for Biotechnology (VIB) Leuven Belgium
- Leuvens Kanker Instituut (LKI) KU Leuven – University Hospitals Leuven Leuven Belgium
| | - Kim Keersmaecker
- Leuvens Kanker Instituut (LKI) KU Leuven – University Hospitals Leuven Leuven Belgium
- Department of Oncology KU Leuven Leuven Belgium
| | - Joris R. Vermeesch
- Department of Human Genetics KU Leuven Leuven Belgium
- Centre for Human Genetics University Hospitals Leuven Leuven Belgium
| | - Johan Maertens
- Department of Hematology University Hospitals Leuven Leuven Belgium
| | - Heidi Segers
- Leuvens Kanker Instituut (LKI) KU Leuven – University Hospitals Leuven Leuven Belgium
- Department of Pediatric Oncology‐Hematology University Hospitals Leuven Leuven Belgium
| | - Lucienne Michaux
- Laboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics University Hospitals Leuven Leuven Belgium
| | - Barbara Dewaele
- Laboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics University Hospitals Leuven Leuven Belgium
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15
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Akkari YM, Baughn LB, Dubuc AM, Smith AC, Mallo M, Dal Cin P, Diez Campelo M, Gallego MS, Granada Font I, Haase DT, Schlegelberger B, Slavutsky I, Mecucci C, Levine RL, Hasserjian RP, Solé F, Levy B, Xu X. Guiding the global evolution of cytogenetic testing for hematologic malignancies. Blood 2022; 139:2273-2284. [PMID: 35167654 PMCID: PMC9710485 DOI: 10.1182/blood.2021014309] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 02/03/2022] [Indexed: 12/15/2022] Open
Abstract
Cytogenetics has long represented a critical component in the clinical evaluation of hematologic malignancies. Chromosome banding studies provide a simultaneous snapshot of genome-wide copy number and structural variation, which have been shown to drive tumorigenesis, define diseases, and guide treatment. Technological innovations in sequencing have ushered in our present-day clinical genomics era. With recent publications highlighting novel sequencing technologies as alternatives to conventional cytogenetic approaches, we, an international consortium of laboratory geneticists, pathologists, and oncologists, describe herein the advantages and limitations of both conventional chromosome banding and novel sequencing technologies and share our considerations on crucial next steps to implement these novel technologies in the global clinical setting for a more accurate cytogenetic evaluation, which may provide improved diagnosis and treatment management. Considering the clinical, logistic, technical, and financial implications, we provide points to consider for the global evolution of cytogenetic testing.
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Affiliation(s)
- Yassmine M.N. Akkari
- Departments of Cytogenetics and Molecular Pathology, Legacy Health, Portland, OR
| | - Linda B. Baughn
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Adrian M. Dubuc
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Adam C. Smith
- Laboratory Medicine Program, University Health Network and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Mar Mallo
- MDS Group, Microarrays Unit, Josep Carreras Leukaemia Research Institute, Barcelona, Spain
| | - Paola Dal Cin
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Maria Diez Campelo
- Hematology Department University Hospital of Salamanca, IBSAL, Salamanca, Spain
| | - Marta S. Gallego
- Laboratory of Cytogenetics and Molecular Cytogenetics, Department of Clinical Pathology, Italian Hospital, Buenos Aires, Argentina
| | - Isabel Granada Font
- Hematology Laboratory, Germans Trias i Pujol University Hospital–Catalan Institute of Oncology, Josep Carreras Leukemia Research Institute, Barcelona, Spain
| | - Detlef T. Haase
- Clinics of Hematology and Medical Oncology, University Medical Center Göttingen, Göttingen, Germany
| | | | - Irma Slavutsky
- Laboratory Genetics of Lymphoid Malignancies, Institute of Experimental Medicine, Buenos Aires, Argentina
| | - Cristina Mecucci
- Laboratory of Cytogenetics and Molecular Medicine, Hematology University of Perugia, Perugia, Italy
| | - Ross L. Levine
- Department of Medicine, Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | - Francesc Solé
- MDS Group, Microarrays Unit, Josep Carreras Leukaemia Research Institute, Barcelona, Spain
| | - Brynn Levy
- College of Physicians and Surgeons, Columbia University Medical Center and the New York Presbyterian Hospital, New York, NY
| | - Xinjie Xu
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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16
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Cytogenetics in Chronic Lymphocytic Leukemia: ERIC Perspectives and Recommendations. Hemasphere 2022; 6:e707. [PMID: 35392482 PMCID: PMC8984316 DOI: 10.1097/hs9.0000000000000707] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 03/07/2022] [Indexed: 12/17/2022] Open
Abstract
Mounting evidence underscores the clinical value of cytogenetic analysis in chronic lymphocytic leukemia (CLL), particularly as it allows the identification of complex karyotype, that has recently emerged as a prognostic and potentially predictive biomarker. That said, explicit recommendations regarding the methodology and clinical interpretation of either chromosome banding analysis (CBA) or chromosome microarray analysis (CMA) are still lacking. We herein present the consensus of the Cytogenetic Steering Scientific Committee of ERIC, the European Research Initiative on CLL, regarding methodological issues as well as clinical interpretation of CBA/CMA and discuss their relevance in CLL. ERIC considers CBA standardized and feasible for CLL on the condition that standards are met, extending from the use of novel mitogens to the accurate interpretation of the findings. On the other hand, CMA, is also standardized, however, robust data on its clinical utility are still scarce. In conclusion, cytogenetic analysis is not yet mature enough to guide treatment choices in CLL. That notwithstanding, ERIC encourages the wide application of CBA, and potentially also CMA, in clinical trials in order to obtain robust evidence regarding the predictive value of specific cytogenetic profiles towards refining risk stratification and improving the management of patients with CLL.
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17
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Ramos-Campoy S, Puiggros A, Beà S, Bougeon S, Larráyoz MJ, Costa D, Parker H, Rigolin GM, Ortega M, Blanco ML, Collado R, Salgado R, Baumann T, Gimeno E, Moreno C, Bosch F, Calvo X, Calasanz MJ, Cuneo A, Strefford JC, Nguyen-Khac F, Oscier D, Haferlach C, Schoumans J, Espinet B. Chromosome banding analysis and genomic microarrays are both useful but not equivalent methods for genomic complexity risk stratification in chronic lymphocytic leukemia patients. Haematologica 2022; 107:593-603. [PMID: 33691382 PMCID: PMC8883543 DOI: 10.3324/haematol.2020.274456] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 02/26/2021] [Indexed: 11/09/2022] Open
Abstract
Genome complexity has been associated with poor outcome in patients with chronic lymphocytic leukemia (CLL). Previous cooperative studies established five abnormalities as the cut-off that best predicts an adverse evolution by chromosome banding analysis (CBA) and genomic microarrays (GM). However, data comparing risk stratification by both methods are scarce. Herein, we assessed a cohort of 340 untreated CLL patients highly enriched in cases with complex karyotype (CK) (46.5%) with parallel CBA and GM studies. Abnormalities found by both techniques were compared. Prognostic stratification in three risk groups based on genomic complexity (0-2, 3- 4 and ≥5 abnormalities) was also analyzed. No significant differences in the percentage of patients in each group were detected, but only a moderate agreement was observed between methods when focusing on individual cases (κ=0.507; P<0.001). Discordant classification was obtained in 100 patients (29.4%), including 3% classified in opposite risk groups. Most discrepancies were technique-dependent and no greater correlation in the number of abnormalities was achieved when different filtering strategies were applied for GM. Nonetheless, both methods showed a similar concordance index for prediction of time to first treatment (TTFT) (CBA: 0.67 vs. GM: 0.65) and overall survival (CBA: 0.55 vs. GM: 0.57). High complexity maintained its significance in the multivariate analysis for TTFT including TP53 and IGHV status when defined by CBA (hazard ratio [HR] 3.23; P<0.001) and GM (HR 2.74; P<0.001). Our findings suggest that both methods are useful but not equivalent for risk stratification of CLL patients. Validation studies are needed to establish the prognostic value of genome complexity based on GM data in future prospective studies.
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Affiliation(s)
- Silvia Ramos-Campoy
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Anna Puiggros
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.
| | - Sílvia Beà
- Hematopathology Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERONC, Barcelona, Spain
| | - Sandrine Bougeon
- Oncogenomic Laboratory, Hematology Service, Lausanne University Hospital, Lausanne, Switzerland
| | - María José Larráyoz
- Cytogenetics and Hematological Genetics Services, Department of Genetics, University of Navarra, Pamplona, Spain
| | - Dolors Costa
- Hematopathology Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERONC, Barcelona, Spain
| | - Helen Parker
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | | | - Margarita Ortega
- Department of Hematology, University Hospital Vall d'Hebron, Barcelona, Spain
| | - María Laura Blanco
- Department of Hematology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Rosa Collado
- Department of Hematology, Consorcio Hospital General Universitario, Valencia, Spain
| | - Rocío Salgado
- Cytogenetics Laboratory, Hematology Department, Fundación Jiménez Díaz, Madrid, Spain
| | - Tycho Baumann
- Hematopathology Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERONC, Barcelona, Spain
| | - Eva Gimeno
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Applied Clinical Research in Hematological Malignances, Cancer Research Program, IMIMHospital del Mar, Barcelona, Spain
| | - Carolina Moreno
- Department of Hematology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Francesc Bosch
- Department of Hematology, University Hospital Vall d'Hebron, Barcelona, Spain
| | - Xavier Calvo
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - María José Calasanz
- Cytogenetics and Hematological Genetics Services, Department of Genetics, University of Navarra, Pamplona, Spain
| | - Antonio Cuneo
- Hematology Section, St. Anna University Hospital, Ferrara, Italy
| | - Jonathan C Strefford
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Florence Nguyen-Khac
- Hematology Department and Sorbonne Université, Hopital Pitie-Salpetriere, APHP, INSERM U1138, Paris, France
| | - David Oscier
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth, UK
| | | | - Jacqueline Schoumans
- Oncogenomic Laboratory, Hematology Service, Lausanne University Hospital, Lausanne, Switzerland
| | - Blanca Espinet
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.
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18
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van der Straten L, Hengeveld PJ, Kater AP, Langerak AW, Levin MD. Treatment Approaches to Chronic Lymphocytic Leukemia With High-Risk Molecular Features. Front Oncol 2021; 11:780085. [PMID: 34956898 PMCID: PMC8695615 DOI: 10.3389/fonc.2021.780085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 11/23/2021] [Indexed: 12/30/2022] Open
Abstract
The clinical course of chronic lymphocytic leukemia (CLL) is highly variable. Over the past decades, several cytogenetic, immunogenetic and molecular features have emerged that identify patients suffering from CLL with high-risk molecular features. These biomarkers can clearly aid prognostication, but may also be capable of predicting the efficacy of various treatment strategies in subgroups of patients. In this narrative review, we discuss treatment approaches to CLL with high-risk molecular features. Specifically, we review and provide a comprehensive overview of clinical trials evaluating the efficacy of chemotherapy, chemoimmunotherapy and novel agent-based treatments in CLL patients with TP53 aberrations, deletion of the long arm of chromosome 11, complex karyotype, unmutated IGHV, B cell receptor stereotypy, and mutations in NOTCH1 or BIRC3. Furthermore, we discuss future pharmaceutical and immunotherapeutic perspectives for CLL with high-risk molecular features, focusing on agents currently under investigation in clinical trials.
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Affiliation(s)
- Lina van der Straten
- Department of Internal Medicine, Albert Schweitzer Hospital, Dordrecht, Netherlands.,Laboratory Medical Immunology, Department of Immunology, Erasmus MC, Rotterdam, Netherlands.,Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, Netherlands
| | - Paul J Hengeveld
- Department of Internal Medicine, Albert Schweitzer Hospital, Dordrecht, Netherlands.,Laboratory Medical Immunology, Department of Immunology, Erasmus MC, Rotterdam, Netherlands
| | - Arnon P Kater
- Department of Hematology, Amsterdam University Medical Center, University of Amsterdam, Cancer Center Amsterdam, Lymphoma and Myeloma Center Amsterdam, Amsterdam, Netherlands
| | - Anton W Langerak
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, Rotterdam, Netherlands
| | - Mark-David Levin
- Department of Internal Medicine, Albert Schweitzer Hospital, Dordrecht, Netherlands
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19
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Kolijn PM, Muggen AF, Ljungström V, Agathangelidis A, Wolvers-Tettero ILM, Beverloo HB, Pál K, Hengeveld PJ, Darzentas N, Hendriks RW, van Dongen JJM, Rosenquist R, Langerak AW. Consistent B Cell Receptor Immunoglobulin Features Between Siblings in Familial Chronic Lymphocytic Leukemia. Front Oncol 2021; 11:740083. [PMID: 34513715 PMCID: PMC8427434 DOI: 10.3389/fonc.2021.740083] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 08/09/2021] [Indexed: 12/24/2022] Open
Abstract
Key processes in the onset and evolution of chronic lymphocytic leukemia (CLL) are thought to include chronic (antigenic) activation of mature B cells through the B cell receptor (BcR), signals from the microenvironment, and acquisition of genetic alterations. Here we describe three families in which two or more siblings were affected by CLL. We investigated whether there are immunogenetic similarities in the leukemia-specific immunoglobulin heavy (IGH) and light (IGL/IGK) chain gene rearrangements of the siblings in each family. Furthermore, we performed array analysis to study if similarities in CLL-associated chromosomal aberrations are present within each family and screened for somatic mutations using paired tumor/normal whole-genome sequencing (WGS). In two families a consistent IGHV gene mutational status (one IGHV-unmutated, one IGHV-mutated) was observed. Intriguingly, the third family with four affected siblings was characterized by usage of the lambda IGLV3-21 gene, with the hallmark R110 mutation of the recently described clinically aggressive IGLV3-21R110 subset. In this family, the CLL-specific rearrangements in two siblings could be assigned to either stereotyped subset #2 or the immunogenetically related subset #169, both of which belong to the broader IGLV3-21R110 subgroup. Consistent patterns of cytogenetic aberrations were encountered in all three families. Furthermore, the CLL clones carried somatic mutations previously associated with IGHV mutational status, cytogenetic aberrations and stereotyped subsets, respectively. From these findings, we conclude that similarities in immunogenetic characteristics in familial CLL, in combination with genetic aberrations acquired, point towards shared underlying mechanisms behind CLL development within each family.
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Affiliation(s)
- P Martijn Kolijn
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Alice F Muggen
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Viktor Ljungström
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Solna, Sweden
| | - Andreas Agathangelidis
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.,Department of Biology, School of Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Ingrid L M Wolvers-Tettero
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - H Berna Beverloo
- Department of Clinical Genetics, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Karol Pál
- CEITEC - Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Paul J Hengeveld
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Nikos Darzentas
- Department of Hematology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Rudi W Hendriks
- Department of Pulmonary Medicine, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | | | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Solna, Sweden
| | - Anton W Langerak
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
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20
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Creasey T, Enshaei A, Nebral K, Schwab C, Watts K, Cuthbert G, Vora A, Moppett J, Harrison CJ, Fielding AK, Haas OA, Moorman AV. Single nucleotide polymorphism array-based signature of low hypodiploidy in acute lymphoblastic leukemia. Genes Chromosomes Cancer 2021; 60:604-615. [PMID: 33938069 PMCID: PMC8600946 DOI: 10.1002/gcc.22956] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 02/24/2021] [Accepted: 04/26/2021] [Indexed: 12/12/2022] Open
Abstract
Low hypodiploidy (30-39 chromosomes) is one of the most prevalent genetic subtypes among adults with ALL and is associated with a very poor outcome. Low hypodiploid clones can often undergo a chromosomal doubling generating a near-triploid clone (60-78 chromosomes). When cytogenetic techniques detect a near triploid clone, a diagnostic challenge may ensue in differentiating presumed duplicated low hypodiploidy from good risk high hyperdiploid ALL (51-67 chromosomes). We used single-nucleotide polymorphism (SNP) arrays to analyze low hypodiploid/near triploid (HoTr) (n = 48) and high hyperdiploid (HeH) (n = 40) cases. In addition to standard analysis, we derived log2 ratios for entire chromosomes enabling us to analyze the cohort using machine-learning techniques. Low hypodiploid and near triploid cases clustered together and separately from high hyperdiploid samples. Using these approaches, we also identified three cases with 50-60 chromosomes, originally called as HeH, which were, in fact, HoTr and two cases incorrectly called as HoTr. TP53 mutation analysis supported the new classification of all cases tested. Next, we constructed a classification and regression tree model for predicting ploidy status with chromosomes 1, 7, and 14 being the key discriminators. The classifier correctly identified 47/50 (94%) HoTr cases. We validated the classifier using an independent cohort of 44 cases where it correctly called 7/7 (100%) low hypodiploid cases. The results of this study suggest that HoTr is more frequent among older adults with ALL than previously estimated and that SNP array analysis should accompany cytogenetics where possible. The classifier can assist where SNP array patterns are challenging to interpret.
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Affiliation(s)
- Thomas Creasey
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Amir Enshaei
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Karin Nebral
- Department of Clinical GeneticsChildren's Cancer Research InstituteViennaAustria
| | - Claire Schwab
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Kathryn Watts
- Northern Genetics ServiceThe Newcastle‐upon‐Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for LifeNewcastle upon TyneUK
| | - Gavin Cuthbert
- Northern Genetics ServiceThe Newcastle‐upon‐Tyne Hospitals NHS Foundation Trust, Institute of Genetic Medicine, International Centre for LifeNewcastle upon TyneUK
| | - Ajay Vora
- Haematology and Oncology DepartmentGreat Ormond Street HospitalLondonUK
| | - John Moppett
- Paediatric Haematology DepartmentBristol Royal Hospital for ChildrenBristolUK
| | - Christine J. Harrison
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | | | - Oskar A. Haas
- Department of Clinical GeneticsChildren's Cancer Research InstituteViennaAustria
| | - Anthony V. Moorman
- Leukaemia Research Cytogenetics Group, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
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21
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Neveling K, Mantere T, Vermeulen S, Oorsprong M, van Beek R, Kater-Baats E, Pauper M, van der Zande G, Smeets D, Weghuis DO, Stevens-Kroef MJPL, Hoischen A. Next-generation cytogenetics: Comprehensive assessment of 52 hematological malignancy genomes by optical genome mapping. Am J Hum Genet 2021; 108:1423-1435. [PMID: 34237281 DOI: 10.1016/j.ajhg.2021.06.001] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 06/01/2021] [Indexed: 02/06/2023] Open
Abstract
Somatic structural variants (SVs) are important drivers of cancer development and progression. In a diagnostic set-up, especially for hematological malignancies, the comprehensive analysis of all SVs in a given sample still requires a combination of cytogenetic techniques, including karyotyping, FISH, and CNV microarrays. We hypothesize that the combination of these classical approaches could be replaced by optical genome mapping (OGM). Samples from 52 individuals with a clinical diagnosis of a hematological malignancy, divided into simple (<5 aberrations, n = 36) and complex (≥5 aberrations, n = 16) cases, were processed for OGM, reaching on average: 283-fold genome coverage. OGM called a total of 918 high-confidence SVs per sample, of which, on average, 13 were rare and >100 kb. In addition, on average, 73 CNVs were called per sample, of which six were >5 Mb. For the 36 simple cases, all clinically reported aberrations were detected, including deletions, insertions, inversions, aneuploidies, and translocations. For the 16 complex cases, results were largely concordant between standard-of-care and OGM, but OGM often revealed higher complexity than previously recognized. Detailed technical comparison with standard-of-care tests showed high analytical validity of OGM, resulting in a sensitivity of 100% and a positive predictive value of >80%. Importantly, OGM resulted in a more complete assessment than any previous single test and most likely reported the most accurate underlying genomic architecture (e.g., for complex translocations, chromoanagenesis, and marker chromosomes). In conclusion, the excellent concordance of OGM with diagnostic standard assays demonstrates its potential to replace classical cytogenetic tests as well as to rapidly map novel leukemia drivers.
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Affiliation(s)
- Kornelia Neveling
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands; Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Tuomo Mantere
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands; Radboud Institute of Medical Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands; Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Susan Vermeulen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Michiel Oorsprong
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Ronald van Beek
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Ellen Kater-Baats
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Marc Pauper
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Guillaume van der Zande
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Dominique Smeets
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Daniel Olde Weghuis
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | | | - Alexander Hoischen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands; Radboud Institute of Medical Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6532 GA Nijmegen, the Netherlands.
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22
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Kahana-Edwin S, Cain LE, McCowage G, Darmanian A, Wright D, Mullins A, Saletta F, Karpelowsky J. Neuroblastoma Molecular Risk-Stratification of DNA Copy Number and ALK Genotyping via Cell-Free Circulating Tumor DNA Profiling. Cancers (Basel) 2021; 13:3365. [PMID: 34282791 PMCID: PMC8267662 DOI: 10.3390/cancers13133365] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 06/25/2021] [Accepted: 06/29/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND MYCN amplification (MNA), segmental chromosomal aberrations (SCA) and ALK activating mutations are biomarkers for risk-group stratification and for targeted therapeutics for neuroblastoma, both of which are currently assessed on tissue biopsy. Increase in demand for tumor genetic testing for neuroblastoma diagnosis is posing a challenge to current practice, as the small size of the core needle biopsies obtained are required for multiple molecular tests. We evaluated the utility of detecting these biomarkers in the circulation. METHODS Various pre-analytical conditions tested to optimize circulating-tumor DNA (ctDNA) copy number changes evaluations. Plasma samples from 10 patients diagnosed with neuroblastoma assessed for SCA and MNA using single nucleotide polymorphism (SNP) array approach currently used for neuroblastoma diagnosis, with MNA status assessed independently using digital-droplet PCR (ddPCR). Three patients (one in common with the previous 10) tested for ALK activating mutations p.F1174L and p.F1245I using ddPCR. RESULTS Copy number detection is highly affected by physical perturbations of the blood sample (mimicking suboptimal sample shipment), which could be overcome using specialized preservative collection tubes. Pre-analytical DNA repair procedures on ctDNA before SNP chromosome microarray processing improved the lower limit of detection for SCA and MNA, defined as 20% and 10%, respectively. We detected SCA in 10/10 (100%) patients using SNP array, 7 of which also presented MNA. Circulating-free DNA (cfDNA) and matched tumor DNA profiles were generally identical. MNA was detected using ddPCR in 7/7 (100%) of MNA and 0/12 (0%) non-MNA cases. MNA and ALK mutation dynamic change was assessed in longitudinal samples from 4 and 3 patients (one patient with both), respectively, accurately reflected response to treatment in 6/6 (100%) and disease recurrence in 5/6 (83%) of cases. Samples taken prior to targeted treatment with the ALK inhibitor Lorlatinib and 6-8 weeks on treatment showed reduction/increase in ALK variants according to response to treatment. CONCLUSIONS These results demonstrate the feasibility of ctDNA profiling for molecular risk-stratification, and treatment monitoring in a clinically relevant time frame and the potential to reduce fresh tissue requirements currently embedded in the management of neuroblastoma.
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Affiliation(s)
- Smadar Kahana-Edwin
- Advanced Molecular Diagnostics, Children’s Cancer Research Unit, Kids Research, The Children’s Hospital at Westmead, Sydney, NSW 2145, Australia; (F.S.); (J.K.)
| | - Lucy E. Cain
- Cancer Centre for Children, The Children’s Hospital at Westmead, Sydney, NSW 2145, Australia; (L.E.C.); (G.M.); (A.M.)
| | - Geoffrey McCowage
- Cancer Centre for Children, The Children’s Hospital at Westmead, Sydney, NSW 2145, Australia; (L.E.C.); (G.M.); (A.M.)
| | - Artur Darmanian
- Cytogenetics Department, Sydney Genome Diagnostics, The Children’s Hospital at Westmead, Sydney, NSW 2145, Australia; (A.D.); (D.W.)
| | - Dale Wright
- Cytogenetics Department, Sydney Genome Diagnostics, The Children’s Hospital at Westmead, Sydney, NSW 2145, Australia; (A.D.); (D.W.)
- Division of Child and Adolescent Health, The University of Sydney, Sydney, NSW 2145, Australia
| | - Anna Mullins
- Cancer Centre for Children, The Children’s Hospital at Westmead, Sydney, NSW 2145, Australia; (L.E.C.); (G.M.); (A.M.)
| | - Federica Saletta
- Advanced Molecular Diagnostics, Children’s Cancer Research Unit, Kids Research, The Children’s Hospital at Westmead, Sydney, NSW 2145, Australia; (F.S.); (J.K.)
| | - Jonathan Karpelowsky
- Advanced Molecular Diagnostics, Children’s Cancer Research Unit, Kids Research, The Children’s Hospital at Westmead, Sydney, NSW 2145, Australia; (F.S.); (J.K.)
- Division of Child and Adolescent Health, The University of Sydney, Sydney, NSW 2145, Australia
- Paediatric Oncology and Thoracic Surgery, The Children’s Hospital at Westmead, Sydney, NSW 2145, Australia
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23
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Navrkalova V, Plevova K, Hynst J, Pal K, Mareckova A, Reigl T, Jelinkova H, Vrzalova Z, Stranska K, Pavlova S, Panovska A, Janikova A, Doubek M, Kotaskova J, Pospisilova S. LYmphoid NeXt-Generation Sequencing (LYNX) Panel: A Comprehensive Capture-Based Sequencing Tool for the Analysis of Prognostic and Predictive Markers in Lymphoid Malignancies. J Mol Diagn 2021; 23:959-974. [PMID: 34082072 DOI: 10.1016/j.jmoldx.2021.05.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 04/21/2021] [Accepted: 05/03/2021] [Indexed: 02/07/2023] Open
Abstract
B-cell neoplasms represent a clinically heterogeneous group of hematologic malignancies with considerably diverse genomic architecture recently endorsed by next-generation sequencing (NGS) studies. Because multiple genetic defects have a potential or confirmed clinical impact, a tendency toward more comprehensive testing of diagnostic, prognostic, and predictive markers is desired. This study introduces the design, validation, and implementation of an integrative, custom-designed, capture-based NGS panel titled LYmphoid NeXt-generation sequencing (LYNX) for the analysis of standard and novel molecular markers in the most common lymphoid neoplasms (chronic lymphocytic leukemia, acute lymphoblastic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and mantle cell lymphoma). A single LYNX test provides the following: i) accurate detection of mutations in all coding exons and splice sites of 70 lymphoma-related genes with a sensitivity of 5% variant allele frequency, ii) reliable identification of large genome-wide (≥6 Mb) and recurrent chromosomal aberrations (≥300 kb) in at least 20% of the clonal cell fraction, iii) the assessment of immunoglobulin and T-cell receptor gene rearrangements, and iv) lymphoma-specific translocation detection. Dedicated bioinformatic pipelines were designed to detect all markers mentioned above. The LYNX panel represents a comprehensive, up-to-date tool suitable for routine testing of lymphoid neoplasms with research and clinical applicability. It allows a wide adoption of capture-based targeted NGS in clinical practice and personalized management of patients with lymphoproliferative diseases.
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Affiliation(s)
- Veronika Navrkalova
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic; Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Karla Plevova
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic; Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic; Institute of Medical Genetics and Genomics, Faculty of Medicine, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Jakub Hynst
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Karol Pal
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic; Department of Internal Medicine II - Hematology and Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Andrea Mareckova
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Tomas Reigl
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Hana Jelinkova
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Zuzana Vrzalova
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic; Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Kamila Stranska
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Sarka Pavlova
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic; Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Anna Panovska
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Andrea Janikova
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Michael Doubek
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic; Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic; Institute of Medical Genetics and Genomics, Faculty of Medicine, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Jana Kotaskova
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic; Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Sarka Pospisilova
- Department of Internal Medicine - Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic; Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic; Institute of Medical Genetics and Genomics, Faculty of Medicine, Masaryk University and University Hospital Brno, Brno, Czech Republic.
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24
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A Single-Run Next-Generation Sequencing (NGS) Assay for the Simultaneous Detection of Both Gene Mutations and Large Chromosomal Abnormalities in Patients with Myelodysplastic Syndromes (MDS) and Related Myeloid Neoplasms. Cancers (Basel) 2021; 13:cancers13081947. [PMID: 33919541 PMCID: PMC8072643 DOI: 10.3390/cancers13081947] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 04/13/2021] [Accepted: 04/16/2021] [Indexed: 11/18/2022] Open
Abstract
Simple Summary Chromosomal abnormalities and somatic mutations are found in patients with myelodysplastic syndromes (MDS) and myelodysplastic/myeloproliferative neoplasms (MDS/MPN) in around 50–80% of cases. The identification of these alterations is important for the accurate diagnosis and prognostic classification of these patients. Often, an apparently normal or failed karyotype might lead to an inadequate estimation of the prognostic risk, and several strategies should be combined to solve these cases. The aim of this study was to introduce a novel next-generation sequencing (NGS)-based strategy for the simultaneous detection of all the clinically relevant genetic alterations associated with these disorders. We validated this approach on a large cohort of patients by comparing our findings with those obtained with standard-of-care methods (i.e., karyotype and SNP-arrays). We show that our platform represents a significant improvement on current strategies in defining diagnosis and risk stratification of patients with MDS and myeloid-related disorders. Abstract Myelodysplastic syndromes (MDS) and myelodysplastic/myeloproliferative neoplasms are clonal disorders that share most of their cytogenetic and molecular alterations. Despite the increased knowledge of the prognostic importance of genetics in these malignancies, next-generation sequencing (NGS) has not been incorporated into clinical practice in a validated manner, and the conventional karyotype remains mandatory in the evaluation of suspected cases. However, non-informative cytogenetics might lead to an inadequate estimation of the prognostic risk. Here, we present a novel targeted NGS-based assay for the simultaneous detection of all the clinically relevant genetic alterations associated with these disorders. We validated this platform in a large cohort of patients by performing a one-to-one comparison with the lesions from karyotype and single-nucleotide polymorphism (SNP) arrays. Our strategy demonstrated an approximately 97% concordance with standard clinical assays, showing sensitivity at least equivalent to that of SNP arrays and higher than that of conventional cytogenetics. In addition, this NGS assay was able to identify both copy-neutral loss of heterozygosity events distributed genome-wide and copy number alterations, as well as somatic mutations within significant driver genes. In summary, we show a novel NGS platform that represents a significant improvement to current strategies in defining diagnosis and risk stratification of patients with MDS and myeloid-related disorders.
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25
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Leeksma AC, Baliakas P, Moysiadis T, Puiggros A, Plevova K, Van der Kevie-Kersemaekers AM, Posthuma H, Rodriguez-Vicente AE, Tran AN, Barbany G, Mansouri L, Gunnarsson R, Parker H, Van den Berg E, Bellido M, Davis Z, Wall M, Scarpelli I, Österborg A, Hansson L, Jarosova M, Ghia P, Poddighe P, Espinet B, Pospisilova S, Tam C, Ysebaert L, Nguyen-Khac F, Oscier D, Haferlach C, Schoumans J, Stevens-Kroef M, Eldering E, Stamatopoulos K, Rosenquist R, Strefford JC, Mellink C, Kater AP. Genomic arrays identify high-risk chronic lymphocytic leukemia with genomic complexity: a multi-center study. Haematologica 2021; 106:87-97. [PMID: 31974198 PMCID: PMC7776256 DOI: 10.3324/haematol.2019.239947] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 01/22/2020] [Indexed: 01/15/2023] Open
Abstract
Complex karyotype (CK) identified by chromosome-banding analysis (CBA) has shown prognostic value in chronic lymphocytic leukemia (CLL). Genomic arrays offer high-resolution genome-wide detection of copy-number alterations (CNAs) and could therefore be well equipped to detect the presence of a CK. Current knowledge on genomic arrays in CLL is based on outcomes of single center studies, in which different cutoffs for CNA calling were used. To further determine the clinical utility of genomic arrays for CNA assessment in CLL diagnostics, we retrospectively analyzed 2293 arrays from 13 diagnostic laboratories according to established standards. CNAs were found outside regions captured by CLL FISH probes in 34% of patients, and several of them including gains of 8q, deletions of 9p and 18p (p<0.01) were linked to poor outcome after correction for multiple testing. Patients (n=972) could be divided in three distinct prognostic subgroups based on the number of CNAs. Only high genomic complexity (high-GC), defined as ≥5 CNAs emerged as an independent adverse prognosticator on multivariable analysis for time to first treatment (Hazard ratio: 2.15, 95% CI: 1.36-3.41; p=0.001) and overall survival (Hazard ratio: 2.54, 95% CI: 1.54-4.17; p<0.001; n=528). Lowering the size cutoff to 1 Mb in 647 patients did not significantly improve risk assessment. Genomic arrays detected more chromosomal abnormalities and performed at least as well in terms of risk stratification compared to simultaneous chromosome banding analysis as determined in 122 patients. Our findings highlight genomic array as an accurate tool for CLL risk stratification.
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Affiliation(s)
| | - Panagiotis Baliakas
- Dept of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | - Theodoros Moysiadis
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
| | | | - Karla Plevova
- University Hospital Brno, Masaryk University, Brno, Czech Republic
| | | | - Hidde Posthuma
- Dept of Clinical Genetics, Amsterdam University Medical Centers, Univ of Amsterdam, The Netherlands
| | | | - Anh Nhi Tran
- Dept of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Gisela Barbany
- Dept of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Larry Mansouri
- Dept of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Rebeqa Gunnarsson
- Division of Clinical Genetics, Dept of Laboratory Medicine, Lund University, Lund, Sweden
| | - Helen Parker
- Cancer Genomics, Academic Unit of Cancer Sciences, University of Southampton, Southampton, UK
| | - Eva Van den Berg
- Dept of Genetics, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Mar Bellido
- Dept of Genetics, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Zadie Davis
- Dept of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Meaghan Wall
- Cytogenetics department, St Vincent Hospital Melbourne, Victoria, Australia
| | - Ilaria Scarpelli
- Oncogenomic laboratory, Dept of Hematology, Lausanne University Hospital (CHUV), Switzerland
| | - Anders Österborg
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Lotta Hansson
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm
| | - Marie Jarosova
- University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Paolo Ghia
- Dept. of Experimental Oncology, IRCCS Ospedale San Raffaele, Università Vita-Salute, Milan
| | - Pino Poddighe
- Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, The Netherlands
| | - Blanca Espinet
- Laboratori de Citogenetica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
| | - Sarka Pospisilova
- CEITEC, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Constantine Tam
- St Vincent Hospital Melbourne, Peter MacCallum Cancer Center, University of Melbourne, Australia
| | - Loïc Ysebaert
- Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Florence Nguyen-Khac
- Service d'Hematologie Biologique, Hopital Pitié-Salpetriere, APHP, Paris, France
| | - David Oscier
- Dept of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth, UK
| | | | - Jacqueline Schoumans
- Oncogenomic laboratory, Dept of Hematology, Lausanne University Hospital (CHUV), Switzerland
| | - Marian Stevens-Kroef
- Radboud University Medical Center, Dept of Human Genetics, Nijmegen, The Netherlands
| | - Eric Eldering
- Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
| | - Richard Rosenquist
- Dept of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | | | - Clemens Mellink
- Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
| | - Arnon P Kater
- Hematology, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
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26
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Cytogenetics in the genomic era. Best Pract Res Clin Haematol 2020; 33:101196. [DOI: 10.1016/j.beha.2020.101196] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 04/30/2020] [Accepted: 05/27/2020] [Indexed: 02/06/2023]
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27
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Buedts L, Smits S, Ameye G, Lehnert S, Ding J, Delforge M, Vermeesch J, Boeckx N, Tousseyn T, Michaux L, Vandenberghe P, Dewaele B. Ultra-low depth sequencing of plasma cell DNA for the detection of copy number aberrations in multiple myeloma. Genes Chromosomes Cancer 2020; 59:465-471. [PMID: 32259320 DOI: 10.1002/gcc.22848] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 03/22/2020] [Accepted: 04/01/2020] [Indexed: 12/31/2022] Open
Abstract
Cytogenetic abnormalities are powerful prognostic factors in multiple myeloma (MM) and are routinely analyzed by FISH on bone marrow (BM) plasma cells (PC). Although considered the gold standard, FISH experiments can be laborious and expensive. Therefore, array-CGH (aCGH) has been introduced as an alternative approach for detecting copy number aberrations (CNA), reducing the number of FISH experiments per case and yielding genome-wide information. Currently, next generation sequencing (NGS) technologies offer new perspectives for the diagnostic workup of malignant disorders. In this study, we examined ultra-low depth whole genome sequencing (LDS) as a valid alternative for aCGH for the detection of CNA in BM PC in MM. To this end, BM aspirates obtained in a diagnostic setting from 20 MM cases were analyzed. CD138+ cell-sorted samples were subjected to FISH analysis. DNA was extracted for subsequent aCGH and LDS analysis. CNA were detected by aCGH and LDS in all but one case. Importantly, all CNA identified by parallel first generation aCGH analysis were also detected by LDS, along with six additional CNA in five cases. One of these additional aberrations was in a region of prognostic importance in MM and was confirmed using FISH. However, risk stratification in these particular cases was unaffected. Thus, a perfectly concordant prognostication between array-CGH and LDS was observed. This validates LDS as a novel and cost-efficient tool for the detection of CNA in MM.
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Affiliation(s)
| | - Sanne Smits
- Center for Human Genetics, KU Leuven, Leuven, Belgium
| | - Geneviève Ameye
- Center for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | | | - Jia Ding
- Genomics Core, KU Leuven, Leuven, Belgium
| | - Michel Delforge
- Department of Hematology, University Hospitals Leuven, Leuven, Belgium
| | - Joris Vermeesch
- Center for Human Genetics, University Hospitals Leuven, Leuven, Belgium.,Genomics Core, KU Leuven, Leuven, Belgium
| | - Nancy Boeckx
- Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium.,Department of Oncology, KU Leuven, Leuven, Belgium
| | - Thomas Tousseyn
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Lucienne Michaux
- Center for Human Genetics, KU Leuven, Leuven, Belgium.,Center for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Peter Vandenberghe
- Center for Human Genetics, KU Leuven, Leuven, Belgium.,Department of Hematology, University Hospitals Leuven, Leuven, Belgium
| | - Barbara Dewaele
- Center for Human Genetics, KU Leuven, Leuven, Belgium.,Center for Human Genetics, University Hospitals Leuven, Leuven, Belgium
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28
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Zalcberg I, D'Andrea MG, Monteiro L, Pimenta G, Xisto B. Multidisciplinary diagnostics of chronic lymphocytic leukemia: European Research Initiative on CLL - ERIC recommendations. Hematol Transfus Cell Ther 2019; 42:269-274. [PMID: 31784406 PMCID: PMC7417454 DOI: 10.1016/j.htct.2019.07.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 06/20/2019] [Accepted: 07/11/2019] [Indexed: 10/29/2022] Open
Abstract
Recent advances in chronic lymphocytic leukemia (CLL) includes description of disease genomic landscape, inclusion of prognostic relevant genetic tests in CLL workflow and evaluation of minimal residual disease (MRD)1 in parallel with the increase availability of novel therapy agents. In this review, the theoretical and practical aspects of response assessment have been discussed. These are based on updated recommendations of the European Research Initiative on Chronic Lymphocytic Leukemia (ERIC) for genetic tests (TP53 mutation and IGHV status) and flow cytometry analysis for CLL. Methodological approaches and interpretation of results were also discussed.2,3.
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Affiliation(s)
| | | | | | | | - Beth Xisto
- Diagnósticos da América (DASA), São Paulo, SP, Brazil
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29
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Berry NK, Scott RJ, Rowlings P, Enjeti AK. Clinical use of SNP-microarrays for the detection of genome-wide changes in haematological malignancies. Crit Rev Oncol Hematol 2019; 142:58-67. [PMID: 31377433 DOI: 10.1016/j.critrevonc.2019.07.016] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 07/18/2019] [Accepted: 07/18/2019] [Indexed: 12/17/2022] Open
Abstract
Single nucleotide polymorphism (SNP) microarrays are commonly used for the clinical investigation of constitutional genomic disorders; however, their adoption for investigating somatic changes is being recognised. With increasing importance being placed on defining the cancer genome, a shift in technology is imperative at a clinical level. Microarray platforms have the potential to become frontline testing, replacing or complementing standard investigations such as FISH or karyotype. This 'molecular karyotype approach' exemplified by SNP-microarrays has distinct advantages in the investigation of several haematological malignancies. A growing body of literature, including guidelines, has shown support for the use of SNP-microarrays in the clinical laboratory to aid in a more accurate definition of the cancer genome. Understanding the benefits of this technology along with discussing the barriers to its implementation is necessary for the development and incorporation of SNP-microarrays in a clinical laboratory for the investigation of haematological malignancies.
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Affiliation(s)
- Nadine K Berry
- Department of Haematology, Calvary Mater Hospital, Newcastle, New South Wales, Australia; School of Biomedical Sciences and Pharmacy, University of Newcastle, New South Wales, Australia; Department of Molecular Medicine, NSW Health Pathology, Newcastle, New South Wales, Australia.
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, New South Wales, Australia; Department of Molecular Medicine, NSW Health Pathology, Newcastle, New South Wales, Australia
| | - Philip Rowlings
- Department of Haematology, Calvary Mater Hospital, Newcastle, New South Wales, Australia; School of Medicine and Public Health, University Newcastle, New South Wales, Australia
| | - Anoop K Enjeti
- Department of Haematology, Calvary Mater Hospital, Newcastle, New South Wales, Australia; School of Medicine and Public Health, University Newcastle, New South Wales, Australia
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30
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Rack KA, van den Berg E, Haferlach C, Beverloo HB, Costa D, Espinet B, Foot N, Jeffries S, Martin K, O'Connor S, Schoumans J, Talley P, Telford N, Stioui S, Zemanova Z, Hastings RJ. European recommendations and quality assurance for cytogenomic analysis of haematological neoplasms. Leukemia 2019; 33:1851-1867. [PMID: 30696948 PMCID: PMC6756035 DOI: 10.1038/s41375-019-0378-z] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 12/11/2018] [Accepted: 12/17/2018] [Indexed: 12/20/2022]
Abstract
Cytogenomic investigations of haematological neoplasms, including chromosome banding analysis, fluorescence in situ hybridisation (FISH) and microarray analyses have become increasingly important in the clinical management of patients with haematological neoplasms. The widespread implementation of these techniques in genetic diagnostics has highlighted the need for guidance on the essential criteria to follow when providing cytogenomic testing, regardless of choice of methodology. These recommendations provide an updated, practical and easily available document that will assist laboratories in the choice of testing and methodology enabling them to operate within acceptable standards and maintain a quality service.
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Affiliation(s)
- K A Rack
- GenQA, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, UK
| | - E van den Berg
- Department of Genetics University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - C Haferlach
- MLL-Munich Leukemia Laboratory, Munich, Germany
| | - H B Beverloo
- Department of Clinical Genetics, Erasmus MC, University medical center, Rotterdam, The Netherlands
| | - D Costa
- Hematopathology Section, Hospital Clinic, Barcelona, Spain
| | - B Espinet
- Laboratori de Citogenètica Molecular, Servei de Patologia, Grup de Recerca,Translacional en Neoplàsies Hematològiques, Cancer Research Program, imim-Hospital del Mar, Barcelona, Spain
| | - N Foot
- Viapath Genetics laboratories, Guys Hospital, London, UK
| | - S Jeffries
- West Midlands Regional Genetics Laboratory, Birmingham Women's Hospital, Birmingham, UK
| | - K Martin
- Department of Cytogenetics, Nottingham University Hospital, Nottingham, UK
| | - S O'Connor
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - J Schoumans
- Oncogénomique laboratory, Hematology department, Lausanne University Hospital, Vaudois, Switzerland
| | - P Talley
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - N Telford
- Oncology Cytogenetics Service, The Christie NHS Foundation Trust, Manchester, UK
| | - S Stioui
- Laboratorio di Citogenetica e genetica moleculaire, Laboratorio Analisi, Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Z Zemanova
- Prague Center of Oncocytogenetics, Institute of Clinical Biochemistry and Laboratory Diagnostics, General University Hospital and First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - R J Hastings
- GenQA, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, UK.
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31
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Cytogenetic complexity in chronic lymphocytic leukemia: definitions, associations, and clinical impact. Blood 2019; 133:1205-1216. [PMID: 30602617 DOI: 10.1182/blood-2018-09-873083] [Citation(s) in RCA: 143] [Impact Index Per Article: 28.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Accepted: 12/18/2018] [Indexed: 12/15/2022] Open
Abstract
Recent evidence suggests that complex karyotype (CK) defined by the presence of ≥3 chromosomal aberrations (structural and/or numerical) identified by using chromosome-banding analysis (CBA) may be relevant for treatment decision-making in chronic lymphocytic leukemia (CLL). However, many challenges toward the routine clinical application of CBA remain. In a retrospective study of 5290 patients with available CBA data, we explored both clinicobiological associations and the clinical impact of CK in CLL. We found that patients with ≥5 abnormalities, defined as high-CK, exhibit uniformly dismal clinical outcomes, independently of clinical stage, TP53 aberrations (deletion of chromosome 17p and/or TP53 mutations [TP53abs]), and the expression of somatically hypermutated (M-CLL) or unmutated immunoglobulin heavy variable genes. Thus, they contrasted with CK cases with 3 or 4 aberrations (low-CK and intermediate-CK, respectively) who followed aggressive disease courses only in the presence of TP53abs. At the other end of the spectrum, patients with CK and +12,+19 displayed an exceptionally indolent profile. Building upon CK, TP53abs, and immunoglobulin heavy variable gene somatic hypermutation status, we propose a novel hierarchical model in which patients with high-CK exhibit the worst prognosis, whereas those with mutated CLL lacking CK or TP53abs, as well as CK with +12,+19, show the longest overall survival. Thus, CK should not be axiomatically considered unfavorable in CLL, representing a heterogeneous group with variable clinical behavior. High-CK with ≥5 chromosomal aberrations emerges as prognostically adverse, independent of other biomarkers. Prospective clinical validation is warranted before ultimately incorporating high-CK in risk stratification of CLL.
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32
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Silva M, de Leeuw N, Mann K, Schuring-Blom H, Morgan S, Giardino D, Rack K, Hastings R. European guidelines for constitutional cytogenomic analysis. Eur J Hum Genet 2019; 27:1-16. [PMID: 30275486 PMCID: PMC6303289 DOI: 10.1038/s41431-018-0244-x] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 06/26/2018] [Accepted: 07/17/2018] [Indexed: 11/28/2022] Open
Abstract
With advancing technology and the consequent shift towards an increasing application of molecular genetic techniques (e.g., microarrays, next-generation sequencing) with the potential for higher resolution in specific contexts, as well as the application of combined testing strategies for the diagnosis of chromosomal disorders, it is crucial that cytogenetic/cytogenomic services keep up to date with technology and have documents that provide guidance in this constantly evolving scenario. These new guidelines therefore aim to provide an updated, practical and easily available document that will enable genetic laboratories to operate within acceptable standards and to maintain a quality service.
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Affiliation(s)
- Marisa Silva
- Departamento de Genética Humana, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisboa, Portugal
| | - Nicole de Leeuw
- Department of Human Genetics, Nijmegen Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Kathy Mann
- Genetics Department, Viapath Analytics, Guy's Hospital, London, SE1 9RT, UK
| | - Heleen Schuring-Blom
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Sian Morgan
- All Wales Genetics Laboratory, Institute of Medical Genetics, University Hospital of Wales, Cardiff, Wales, UK
| | - Daniela Giardino
- Lab. Citogenetica Medica, Istituto Auxologico Italiano, Milano, Italy
| | - Katrina Rack
- CEQAS/GenQA, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, OX3 9DU, UK
| | - Ros Hastings
- CEQAS/GenQA, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, OX3 9DU, UK.
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Kanagal-Shamanna R, Hodge JC, Tucker T, Shetty S, Yenamandra A, Dixon-McIver A, Bryke C, Huxley E, Lennon PA, Raca G, Xu X, Jeffries S, Quintero-Rivera F, Greipp PT, Slovak ML, Iqbal MA, Fang M. Assessing copy number aberrations and copy neutral loss of heterozygosity across the genome as best practice: An evidence based review of clinical utility from the cancer genomics consortium (CGC) working group for myelodysplastic syndrome, myelodysplastic/myeloproliferative and myeloproliferative neoplasms. Cancer Genet 2018; 228-229:197-217. [PMID: 30377088 DOI: 10.1016/j.cancergen.2018.07.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Revised: 07/27/2018] [Accepted: 07/30/2018] [Indexed: 12/16/2022]
Abstract
Multiple studies have demonstrated the utility of chromosomal microarray (CMA) testing to identify clinically significant copy number alterations (CNAs) and copy-neutral loss-of-heterozygosity (CN-LOH) in myeloid malignancies. However, guidelines for integrating CMA as a standard practice for diagnostic evaluation, assessment of prognosis and predicting treatment response are still lacking. CMA has not been recommended for clinical work-up of myeloid malignancies by the WHO 2016 or the NCCN 2017 guidelines but is a suggested test by the European LeukaemiaNet 2013 for the diagnosis of primary myelodysplastic syndrome (MDS). The Cancer Genomics Consortium (CGC) Working Group for Myeloid Neoplasms systematically reviewed peer-reviewed literature to determine the power of CMA in (1) improving diagnostic yield, (2) refining risk stratification, and (3) providing additional genomic information to guide therapy. In this manuscript, we summarize the evidence base for the clinical utility of array testing in the workup of MDS, myelodysplastic/myeloproliferative neoplasms (MDS/MPN) and myeloproliferative neoplasms (MPN). This review provides a list of recurrent CNAs and CN-LOH noted in this disease spectrum and describes the clinical significance of the aberrations and how they complement gene mutation findings by sequencing. Furthermore, for new or suspected diagnosis of MDS or MPN, we present suggestions for integrating genomic testing methods (CMA and mutation testing by next generation sequencing) into the current standard-of-care clinical laboratory testing (karyotype, FISH, morphology, and flow).
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Affiliation(s)
- Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston TX, USA.
| | - Jennelle C Hodge
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Pediatrics, University of California Los Angeles, Los Angeles, CA, USA; Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Tracy Tucker
- Department of Pathology and Laboratory Medicine, Cancer Genetics Laboratory, British Columbia Cancer Agency, Vancouver, BC Canada
| | - Shashi Shetty
- Department of Pathology, UHCMC, University Hospitals and Case Western Reserve University, Cleveland, OH, USA
| | - Ashwini Yenamandra
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Christine Bryke
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Emma Huxley
- West Midlands Regional Genetics Laboratory, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | | | - Gordana Raca
- Department of Pathology and Laboratory Medicine, Children's Hospital of Los Angeles, Los Angeles, CA, USA
| | - Xinjie Xu
- ARUP Laboratories, University of Utah, Salt Lake City, UT, USA
| | - Sally Jeffries
- West Midlands Regional Genetics Laboratory, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Fabiola Quintero-Rivera
- Department of Pathology and Laboratory Medicine, UCLA Clinical Genomics Center, University of California Los Angeles, Los Angeles, CA, USA
| | - Patricia T Greipp
- Department of Laboratory Medicine and Pathology, Genomics Laboratory, Mayo Clinic, Rochester, MN, USA
| | - Marilyn L Slovak
- TriCore Reference Laboratories, University of New Mexico, Albuquerque, NM, USA
| | - M Anwar Iqbal
- University of Rochester Medical Center, Rochester, NY, USA
| | - Min Fang
- Fred Hutchinson Cancer Research Center and University of Washington, Seattle, WA, USA.
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34
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Peterson JF, Van Dyke DL, Hoppman NL, Kearney HM, Sukov WR, Greipp PT, Ketterling RP, Baughn LB. The Utilization of Chromosomal Microarray Technologies for Hematologic Neoplasms: An ACLPS Critical Review. Am J Clin Pathol 2018; 150:375-384. [PMID: 30052716 DOI: 10.1093/ajcp/aqy076] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES Chromosome (G-banding) and fluorescence in situ hybridization (FISH) serve as the primary methodologies utilized for detecting genetic aberrations in hematologic neoplasms. Chromosomal microarray can detect copy number aberrations (CNAs) with greater resolution when compared to G-banding and FISH, and can also identify copy-neutral loss of heterozygosity (CN-LOH). The purpose of our review is to highlight a preselected group of hematologic neoplasms for which chromosomal microarray has the greatest clinical utility. METHODS A case-based approach and review of the literature was performed to identify the advantages and disadvantages of utilizing chromosomal microarray for specific hematologic neoplasms. RESULTS Chromosomal microarray identified CNAs and CN-LOH of clinical significance, and could be performed on fresh or paraffin-embedded tissue and liquid neoplasms. Microarray studies could not detect balanced rearrangements, low-level clones, or distinguish independent clones. CONCLUSIONS When utilized appropriately, chromosomal microarray can provide clinically significant information that complements traditional cytogenetic testing methodologies.
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Affiliation(s)
- Jess F Peterson
- Department of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, Mayo Clinic, Rochester, MN
| | - Daniel L Van Dyke
- Department of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, Mayo Clinic, Rochester, MN
| | - Nicole L Hoppman
- Department of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, Mayo Clinic, Rochester, MN
| | - Hutton M Kearney
- Department of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, Mayo Clinic, Rochester, MN
| | - William R Sukov
- Department of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, Mayo Clinic, Rochester, MN
| | - Patricia T Greipp
- Department of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, Mayo Clinic, Rochester, MN
| | - Rhett P Ketterling
- Department of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, Mayo Clinic, Rochester, MN
| | - Linda B Baughn
- Department of Laboratory Medicine and Pathology, Division of Laboratory Genetics and Genomics, Mayo Clinic, Rochester, MN
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35
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Olsson L, Lundin-Ström KB, Castor A, Behrendtz M, Biloglav A, Norén-Nyström U, Paulsson K, Johansson B. Improved cytogenetic characterization and risk stratification of pediatric acute lymphoblastic leukemia using single nucleotide polymorphism array analysis: A single center experience of 296 cases. Genes Chromosomes Cancer 2018; 57:604-607. [PMID: 30203896 DOI: 10.1002/gcc.22664] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 06/14/2018] [Accepted: 06/18/2018] [Indexed: 01/21/2023] Open
Abstract
Single nucleotide polymorphism array (SNP-A) analyses are increasingly being introduced in routine genetic diagnostics of acute lymphoblastic leukemia (ALL). Despite this, only few studies that have compared the diagnostic value of SNP-A with conventional chromosome banding have been published. We here report such a comparison of 296 ALL cases, the largest series to date. Only genomic imbalances >5 Mb and microdeletions targeting the BTG1, CDKN2A/B, EBF1, ERG, ETV6, IKZF1, PAX5, and RB1 genes and the pseudoautosomal region 1 (PAR1) were ascertained, in agreement with recent guidelines. Of 36 T-cell ALL cases, the karyotypes of 24 cases (67%) were revised by SNP-A analyses that either revealed additional imbalances >5 Mb or better characterized the changes found by G-banding. Of 260 B-cell precursor (BCP) ALL cases, SNP-A analyses identified additional copy number alterations, including the above-mentioned microdeletions, or better characterized the imbalances found by G-banding in 236 (91%) cases. Furthermore, the cytogenetic subtype classification of 41/260 (16%) BCP ALL cases was revised based on the SNP-A findings. Of the subtype revisions, 12/41 (29%) had clinical implications as regards risk stratifying cytogenetic groups or genotype-specific minimal residual disease stratification. We conclude that SNP-A analyses dramatically improve the cytogenetic characterization of both T-cell and BCP ALL and also provide important information pertinent to risk stratification of BCP ALL.
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Affiliation(s)
- Linda Olsson
- Department of Clinical Genetics and Pathology, Office for Medical Services, Division of Laboratory Medicine, Lund, Sweden
| | - Kristina B Lundin-Ström
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Anders Castor
- Department of Pediatrics, Skåne University Hospital, Lund, Sweden
| | - Mikael Behrendtz
- Department of Pediatrics, Linköping University Hospital, Linköping, Sweden
| | - Andrea Biloglav
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | | | - Kajsa Paulsson
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Bertil Johansson
- Department of Clinical Genetics and Pathology, Office for Medical Services, Division of Laboratory Medicine, Lund, Sweden.,Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
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36
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Vetro C, Haferlach T, Jeromin S, Stengel A, Zenger M, Nadarajah N, Baer C, Weissmann S, Kern W, Meggendorfer M, Haferlach C. Identification of prognostic parameters in CLL with no abnormalities detected by chromosome banding and FISH analyses. Br J Haematol 2018; 183:47-59. [PMID: 30022491 DOI: 10.1111/bjh.15498] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 06/07/2018] [Indexed: 01/09/2023]
Abstract
Chronic Lymphocytic Leukaemia (CLL) is a heterogeneous disease with a clinical course dependent on cytogenetic features. However, in 15-20% of cases both chromosome banding and fluorescence in situ hybridisation analyses do not show any kind of abnormality. With the aim to identify dependable molecular prognostic factors in this subgroup, we performed a comprehensive analysis on 171 patients including genomic arrays (comparative genomic hybridisation and single nucleotide polymorphism), immunoglobulin heavy chain variable region genes (IGHV) status, flow cytometry and targeted sequencing. Genomic arrays detected 73 aberrations in 39 patients (23%). Most frequently, patients had 1 aberration (25/171; 15%), while 14 patients (8%) had at least 2 aberrations. IGHV status was unmutated in 53/171 (31%) patients. SF3B1 was the most frequently mutated gene (26/171 patients; 15%), followed by NOTCH1 (15/171; 9%). At univariate analysis, an adverse impact on time to treatment (TTT) was evident for SF3B1 mutations, higher white blood cell count, higher CLL cells percentage by flow cytometry, CD38 positivity, IGHV unmutated status and at least 2 genomic array abnormalities. Of these, SF3B1 mutations, CLL cells percentage, IGHV unmutated status and number of genomic array aberrations maintained their impact in multivariate analysis. In conclusion, by integrating genomic and molecular data, we identified patients at higher risk for treatment need.
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Affiliation(s)
| | | | | | - Anna Stengel
- MLL Munich Leukaemia Laboratory, Munich, Germany
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37
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Ouahchi I, Zhang L, Benitez Brito R, Benz R, Müller R, Bonadies N, Tchinda J. Microarray‐based comparative genomic hybridisation reveals additional recurrent aberrations in adult patients evaluated for myelodysplastic syndrome with normal karyotype. Br J Haematol 2018; 184:282-287. [DOI: 10.1111/bjh.15068] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Ines Ouahchi
- Department of Cytogenetics, Molecular Genetics and Reproductive Biology Farhat Hached University Hospital Sousse Tunisia
| | - Luduo Zhang
- Department of Oncology University Children's Hospital Zurich Zurich Switzerland
| | - Ramon Benitez Brito
- Department of Oncology University Children's Hospital Zurich Zurich Switzerland
| | - Rudolf Benz
- Department of Internal Medicine Division of Haematology Cantonal Hospital Muensterlingen Muensterlingen Switzerland
| | - Rouven Müller
- Haematology Clinic University Hospital Zurich ZurichSwitzerland
| | - Nicolas Bonadies
- Department of Haematology and Central Haematology Laboratory Inselspital, Bern University Hospital, University of Bern Bern Switzerland
| | - Joëlle Tchinda
- Department of Oncology University Children's Hospital Zurich Zurich Switzerland
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38
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da Silva-Coelho P, Kroeze LI, Yoshida K, Koorenhof-Scheele TN, Knops R, van de Locht LT, de Graaf AO, Massop M, Sandmann S, Dugas M, Stevens-Kroef MJ, Cermak J, Shiraishi Y, Chiba K, Tanaka H, Miyano S, de Witte T, Blijlevens NMA, Muus P, Huls G, van der Reijden BA, Ogawa S, Jansen JH. Clonal evolution in myelodysplastic syndromes. Nat Commun 2017; 8:15099. [PMID: 28429724 PMCID: PMC5530598 DOI: 10.1038/ncomms15099] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Accepted: 02/24/2017] [Indexed: 02/08/2023] Open
Abstract
Cancer development is a dynamic process during which the successive accumulation of mutations results in cells with increasingly malignant characteristics. Here, we show the clonal evolution pattern in myelodysplastic syndrome (MDS) patients receiving supportive care, with or without lenalidomide (follow-up 2.5–11 years). Whole-exome and targeted deep sequencing at multiple time points during the disease course reveals that both linear and branched evolutionary patterns occur with and without disease-modifying treatment. The application of disease-modifying therapy may create an evolutionary bottleneck after which more complex MDS, but also unrelated clones of haematopoietic cells, may emerge. In addition, subclones that acquired an additional mutation associated with treatment resistance (TP53) or disease progression (NRAS, KRAS) may be detected months before clinical changes become apparent. Monitoring the genetic landscape during the disease may help to guide treatment decisions. Myelodysplastic syndromes are a broad group of haematopoietic malignancies that often progress to acute myeloid leukaemia. Here, the authors show that linear and branched evolution occurs within myelodysplastic syndrome and these patterns can be impacted by treatment.
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Affiliation(s)
- Pedro da Silva-Coelho
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands.,Department of Haematology, Centro Hospitalar de São João and Faculdade de Medicina da Universidade do Porto, Alameda Professor Hernâni Monteiro, Porto 4200-319, Portugal
| | - Leonie I Kroeze
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Kenichi Yoshida
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto-shi, Kyoto 606-8501, Japan
| | - Theresia N Koorenhof-Scheele
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Ruth Knops
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Louis T van de Locht
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Aniek O de Graaf
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Marion Massop
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Sarah Sandmann
- Institute of Medical Informatics, University of Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
| | - Martin Dugas
- Institute of Medical Informatics, University of Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
| | - Marian J Stevens-Kroef
- Department of Human Genetics, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Jaroslav Cermak
- Institute of Hematology and Blood Transfusion, U Nemocnice 1, 128 20 Prague 2, Czech Republic
| | - Yuichi Shiraishi
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639 Japan
| | - Kenichi Chiba
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639 Japan
| | - Hiroko Tanaka
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639 Japan
| | - Satoru Miyano
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639 Japan
| | - Theo de Witte
- Department of Tumor Immunology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Nicole M A Blijlevens
- Department of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Petra Muus
- Department of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Gerwin Huls
- Department of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands.,Department of Hematology, University Medical Centre Groningen, PO Box 30001, 9700 RB Groningen, The Netherlands
| | - Bert A van der Reijden
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto-shi, Kyoto 606-8501, Japan
| | - Joop H Jansen
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
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39
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Stevens-Kroef MJ, Olde Weghuis D, ElIdrissi-Zaynoun N, van der Reijden B, Cremers EMP, Alhan C, Westers TM, Visser-Wisselaar HA, Chitu DA, Cunha SM, Vellenga E, Klein SK, Wijermans P, de Greef GE, Schaafsma MR, Muus P, Ossenkoppele GJ, van de Loosdrecht AA, Jansen JH. Genomic array as compared to karyotyping in myelodysplastic syndromes in a prospective clinical trial. Genes Chromosomes Cancer 2017; 56:524-534. [DOI: 10.1002/gcc.22455] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Revised: 02/16/2017] [Accepted: 02/16/2017] [Indexed: 02/06/2023] Open
Affiliation(s)
| | - Daniel Olde Weghuis
- Department of Human Genetics; Radboud University Medical Center; Nijmegen The Netherlands
| | | | - Bert van der Reijden
- Department of Laboratory Medicine; Radboud University Medical Center; Nijmegen The Netherlands
| | - Eline M. P. Cremers
- Department of Hematology; VU University Medical Center, Cancer Center Amsterdam; Amsterdam The Netherlands
| | - Canan Alhan
- Department of Hematology; VU University Medical Center, Cancer Center Amsterdam; Amsterdam The Netherlands
| | - Theresia M. Westers
- Department of Hematology; VU University Medical Center, Cancer Center Amsterdam; Amsterdam The Netherlands
| | - Heleen A. Visser-Wisselaar
- Department of Hematology; Erasmus MC Cancer Institute, HOVON Data Center, Erasmus University Medical Center-Daniel den Hoed; Rotterdam The Netherlands
| | - Dana A. Chitu
- Department of Hematology; Erasmus MC Cancer Institute, HOVON Data Center, Erasmus University Medical Center-Daniel den Hoed; Rotterdam The Netherlands
| | - Sonia M. Cunha
- Department of Hematology; Erasmus MC Cancer Institute, HOVON Data Center, Erasmus University Medical Center-Daniel den Hoed; Rotterdam The Netherlands
| | - Edo Vellenga
- Department of Experimental Hematology; University Medical Center Groningen; Groningen The Netherlands
| | - Saskia K. Klein
- Department of Internal Medicine; Meander Medisch Centrum; Amersfoort The Netherlands
| | - Pierre Wijermans
- Department of Internal Medicine; Haga Ziekenhuis; The Hague The Netherlands
| | - Georgine E. de Greef
- Department of Hematology; Erasmus University Medical Center-Daniel den Hoed; Rotterdam The Netherlands
| | - M. Ron Schaafsma
- Department of Internal Medicine; Medisch Centrum Twente; Enschede The Netherlands
| | - Petra Muus
- Department of Hematology; Radboud University Medical Center; Nijmegen The Netherlands
| | - Gert J. Ossenkoppele
- Department of Hematology; VU University Medical Center, Cancer Center Amsterdam; Amsterdam The Netherlands
| | - Arjan A. van de Loosdrecht
- Department of Hematology; VU University Medical Center, Cancer Center Amsterdam; Amsterdam The Netherlands
| | - Joop H. Jansen
- Department of Laboratory Medicine; Radboud University Medical Center; Nijmegen The Netherlands
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40
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Abstract
A standardized nomenclature is critical for the accurate and consistent description of genomic changes as identified by karyotyping, fluorescence in situ hybridization and microarray. The International System for Human Cytogenomic Nomenclature (ISCN) is the central reference for the description of karyotyping, FISH, and microarray results, and provides rules for describing cytogenetic and molecular cytogenetic findings in laboratory reports. These laboratory reports are documents to the referring clinician, and should be clear, accurate and contain all information relevant for good interpretation of the cytogenetic findings. Here, we describe guidelines for cytogenetic nomenclature and laboratory reports for cytogenetic testing applied to tumor samples.
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41
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Aberrations identified by genomic arrays in normal karyotype CMML can be detected in 40% of patients, but do not add prognostic information to molecular mutations. Leukemia 2016; 30:2235-2238. [PMID: 27220668 DOI: 10.1038/leu.2016.158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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