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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] [MESH Headings] [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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Zhou Y, Yu H, Zhao X, Ni J, Gan S, Dong W, Du J, Zhou X, Wang X, Song H. Detection and differentiation of seven porcine respiratory pathogens using a multiplex ligation-dependent probe amplification assay. Vet J 2024; 305:106124. [PMID: 38653339 DOI: 10.1016/j.tvjl.2024.106124] [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: 12/12/2023] [Revised: 03/27/2024] [Accepted: 04/18/2024] [Indexed: 04/25/2024]
Abstract
Respiratory diseases due to viral or bacterial agents, either alone or in combination, cause substantial economic burdens to the swine industry worldwide. Rapid and reliable detection of causal pathogens is crucial for effective epidemiological surveillance and disease management. This research aimed to employ the multiplex ligation-dependent probe amplification (MLPA) assay for simultaneous detection of seven distinct pathogens causing respiratory problems in swine, porcine reproductive and respiratory syndrome virus (PRRSV), swine influenza virus (SIV), porcine respiratory coronavirus (PRCV), porcine circovirus type 2 (PCV2), Pasteurella multocida, Actinobacillus pleuropneumoniae, and Glässerella parasuis. The results indicated no probe cross-reactivity among the seven target agents with other swine pathogens. The detection limits ranged from 5 to 34 copies per assay for the target organisms. The MLPA assay was evaluated with 88 samples and compared to real-time or multiplex PCR for the target pathogens. The MLPA assay demonstrated high relative test sensitivities (100 %) and reasonable to good relative specificities at 62.5 %, 95.1 %, 86.8 %, and 97.6 % for PRRSV, P. multocida, G. parasuis, and PCV2, respectively, relative to comparator PCR assays. In 71 samples where MLPA and comparator PCR assays matched exactly, infections were detected in 64 samples (90.1 %), with PRRSV being the most commonly found virus and 50.7 % of the samples showing co-infection with two to five of the pathogens. This approach serves as a valuable tool for conducting differential diagnoses and epidemiological investigations of pathogen prevalence within swine populations.
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Affiliation(s)
- Yingshan Zhou
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics and Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology and College of Veterinary Medicine of Zhejiang A and F University, 666 Wusu St., Lin'an District, Hangzhou, Zhejiang Province 311300, China
| | - Haoran Yu
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics and Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology and College of Veterinary Medicine of Zhejiang A and F University, 666 Wusu St., Lin'an District, Hangzhou, Zhejiang Province 311300, China
| | - Xiuling Zhao
- Ningbo Key Laboratory of Port Biological and Food Safety Testing, Technical Center of Ningbo Customs, Ningbo, Zhejiang Province 315000, China
| | - Jianbo Ni
- Ningbo Key Laboratory of Port Biological and Food Safety Testing, Technical Center of Ningbo Customs, Ningbo, Zhejiang Province 315000, China
| | - Shiqi Gan
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics and Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology and College of Veterinary Medicine of Zhejiang A and F University, 666 Wusu St., Lin'an District, Hangzhou, Zhejiang Province 311300, China
| | - Wanyu Dong
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics and Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology and College of Veterinary Medicine of Zhejiang A and F University, 666 Wusu St., Lin'an District, Hangzhou, Zhejiang Province 311300, China
| | - Jing Du
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics and Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology and College of Veterinary Medicine of Zhejiang A and F University, 666 Wusu St., Lin'an District, Hangzhou, Zhejiang Province 311300, China
| | - Xingdong Zhou
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics and Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology and College of Veterinary Medicine of Zhejiang A and F University, 666 Wusu St., Lin'an District, Hangzhou, Zhejiang Province 311300, China
| | - Xiaodu Wang
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics and Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology and College of Veterinary Medicine of Zhejiang A and F University, 666 Wusu St., Lin'an District, Hangzhou, Zhejiang Province 311300, China.
| | - Houhui Song
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics and Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology and College of Veterinary Medicine of Zhejiang A and F University, 666 Wusu St., Lin'an District, Hangzhou, Zhejiang Province 311300, China.
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Yahya D, Hachmeriyan M, Ruseva T, Chervenkov T, Micheva I. MLPA in the initial genetic screening of patients with acute myeloid leukemia. ROMANIAN JOURNAL OF INTERNAL MEDICINE = REVUE ROUMAINE DE MEDECINE INTERNE 2024; 62:44-51. [PMID: 37948316 DOI: 10.2478/rjim-2023-0027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION This study aimed to assess the effectiveness of multiplex ligase-dependent probe amplification (MLPA) in the initial genetic screening of patients with acute myeloid leukemia (AML) since current risk stratification and clinical management depend on molecular-genetic markers. METHODS We performed a prospective case-control study on newly diagnosed patients from the Clinical hematology clinic of UMHAT "St. Marina", Varna, for the period 02.2022 - 02.2023. MLPA - a semiquantitative PCR-based method, was implemented with probes for 40 AML/myelodysplastic syndrome-typical genetic changes. We compared these findings with a parallelly carried out cytogenetic analysis, part of the routine diagnostic process. RESULTS We assessed 61 patients - 29 females and 32 males, median age of 61 years for females and 65 for males (min-max 20-89). 34 (56%) of all showed pathological results, while the rest 27 (44%) did not. Of the 34, 22 (65%) had a single gene variant in genes NPM1, DNMT3A, FLT3, and IDH2, isolated or in combination. 18 (53%) of the same 34 also had copy number aberration (CNA) in chromosomes 4, 5, 6, 7, 11, 14, 17, and 21. The latter were either isolated or in combination with other findings. 8 of the 18 cases also underwent cytogenetic analysis, with concordance between the two methods in 4. CONCLUSION MLPA is an informative method for initial genetic assessment in addition to cytogenetic analysis. Still, more patients are needed to draw finite conclusions on its eligibility for routine use. Given the significant percentage of normal results - 44%, simultaneous evaluation of more genetic markers, included in current guidelines, is reasonable.
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Affiliation(s)
- Dinnar Yahya
- Department of Medical Genetics, Faculty of Medicine, Medical University of Varna
- Laboratory of Medical Genetics, UMHAT St. Marina, Varna
| | - Mari Hachmeriyan
- Department of Medical Genetics, Faculty of Medicine, Medical University of Varna
- Laboratory of Medical Genetics, UMHAT St. Marina, Varna
| | - Tsanka Ruseva
- Laboratory of Medical Genetics, UMHAT St. Marina, Varna
| | - Trifon Chervenkov
- Department of Medical Genetics, Faculty of Medicine, Medical University of Varna
- Laboratory of Clinical Immunology, UMHAT St. Marina, Varna
| | - Ilina Micheva
- Faculty of Medicine, Medical University of Department of Internal Diseases, Varna
- Clinic of Hematology, UMHAT St. Marina, Varna
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Yang Y, Xia C, Song X, Tang X, Nie X, Xu W, Du C, Zhang H, Luo P. Application of a Multiplex Ligation-Dependent Probe Amplification-Based Next-Generation Sequencing Approach for the Detection of Pathogenesis of Duchenne Muscular Dystrophy and Spinal Muscular Atrophy Caused by Copy Number Aberrations. Mol Neurobiol 2024; 61:200-211. [PMID: 37596438 PMCID: PMC10791777 DOI: 10.1007/s12035-023-03572-9] [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: 12/29/2022] [Accepted: 08/04/2023] [Indexed: 08/20/2023]
Abstract
Both Duchenne muscular dystrophy (DMD; OMIM no. 310200) and spinal muscular atrophy (SMA; OMIM no. 253300/253550/253400/271150) are genetic disorders characterized by progressive muscle degeneration and weakness. Genetic copy number aberrations in the pathogenetic genes DMD and SMN1 lead to alterations in functional proteins, resulting in DMD and SMA, respectively. Multiplex ligation-dependent probe amplification (MLPA) has become a standard method for the detection of common copy number aberrations (CNAs), including DMD and SMN1 deletions, both of which are associated with poor clinical outcomes. However, traditional MLPA assays only accommodate a maximum of 60 MLPA probes per test. To increase the number of targeted sequences in one assay, an MLPA-based next-generation sequencing (NGS) assay has been developed that is based on the standard MLPA procedure, allows high-throughput screening for a large number of fragments and samples by integrating additional indices for detection, and can be analyzed on all Illumina NGS platforms.
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Affiliation(s)
- Yongchen Yang
- Department of Laboratory Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Building 7, 24, Lane 1400, West Beijing Road, Jing'an, Shanghai, 200040, People's Republic of China.
| | - Chaoran Xia
- Zhejiang Shaoxing Topgen Biomedical Technology Co. Ltd. Block B, Building 19, No. 3399 Kangxin Road, Pudong District, Shanghai, 201321, People's Republic of China.
| | - Xiaozhen Song
- Department of Laboratory Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Building 7, 24, Lane 1400, West Beijing Road, Jing'an, Shanghai, 200040, People's Republic of China
| | - Xiaojun Tang
- Department of Laboratory Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Building 7, 24, Lane 1400, West Beijing Road, Jing'an, Shanghai, 200040, People's Republic of China
| | - Xueling Nie
- Shanghai Shiji Medical Laboratory Institute, Floor 5, No. 3805, Zhoujiazui Road, Yangpu District, Shanghai, 200093, People's Republic of China
| | - Wuhen Xu
- Department of Laboratory Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Building 7, 24, Lane 1400, West Beijing Road, Jing'an, Shanghai, 200040, People's Republic of China
| | - Chengkan Du
- Department of Laboratory Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Building 7, 24, Lane 1400, West Beijing Road, Jing'an, Shanghai, 200040, People's Republic of China
| | - Hong Zhang
- Department of Laboratory Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Building 7, 24, Lane 1400, West Beijing Road, Jing'an, Shanghai, 200040, People's Republic of China
| | - Peng Luo
- Zhejiang Shaoxing Topgen Biomedical Technology Co. Ltd. Block B, Building 19, No. 3399 Kangxin Road, Pudong District, Shanghai, 201321, People's Republic of China
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Liu DD, Muliaditan D, Viswanathan R, Cui X, Cheow LF. Melt-Encoded-Tags for Expanded Optical Readout in Digital PCR (METEOR-dPCR) Enables Highly Multiplexed Quantitative Gene Panel Profiling. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301630. [PMID: 37485651 PMCID: PMC10520687 DOI: 10.1002/advs.202301630] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 06/27/2023] [Indexed: 07/25/2023]
Abstract
Digital PCR (dPCR) is an important tool for precise nucleic acid quantification in clinical setting, but the limited multiplexing capability restricts its applications for quantitative gene panel profiling. Here, this work describes melt-encoded-tags for expanded optical readout in digital PCR (METEOR-dPCR), a simple two-step assay that enables simultaneous quantification of a large panel of arbitrary genes in a dPCR platform. Target genes are quantitatively converted into DNA tags with unique melting temperatures through a ligation approach. These tags are then counted and distinguished by their melt-curve profiles on a dPCR platform. A multiplexing capacity of M^N, where M is the number of resolvable melting temperature and N is the number of fluorescence channel, can be achieved. This work validates METEOR-dPCR with simultaneous DNA copy number profiling of 60 targets using dPCR in cancer cells, and demonstrates its sensitivity for estimating tumor fraction in mixed tumor and normal DNA samples. The rapid, quantitative, and highly multiplexed METEOR-dPCR assay will have wide appeal for many clinical applications.
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Affiliation(s)
- Dong Dong Liu
- Institute for Health Innovation and TechnologyNational University of SingaporeSingapore117599Singapore
| | - Daniel Muliaditan
- Department of Biomedical EngineeringFaculty of EngineeringNational University of SingaporeSingapore117583Singapore
- Genome institute of SingaporeAgency for ScienceTechnology and ResearchSingapore138672Singapore
| | - Ramya Viswanathan
- Institute for Health Innovation and TechnologyNational University of SingaporeSingapore117599Singapore
- Department of Biomedical EngineeringFaculty of EngineeringNational University of SingaporeSingapore117583Singapore
| | - Xu Cui
- Department of Biomedical EngineeringFaculty of EngineeringNational University of SingaporeSingapore117583Singapore
| | - Lih Feng Cheow
- Institute for Health Innovation and TechnologyNational University of SingaporeSingapore117599Singapore
- Department of Biomedical EngineeringFaculty of EngineeringNational University of SingaporeSingapore117583Singapore
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Acute myelogenous leukemia – current recommendations and approaches in molecular-genetic assessment. ROMANIAN JOURNAL OF INTERNAL MEDICINE 2022; 60:103-114. [DOI: 10.2478/rjim-2022-0004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Indexed: 11/20/2022] Open
Abstract
Abstract
Acute myelogenous leukemia is a multi-step hematological malignancy, affecting function, growth, proliferation and cell cycle of myeloid precursors. Overall assessment of patients with the disease requires among everything else, a comprehensive investigation of the genetic basis through various methods such as cytogenetic and molecular-genetic ones. This clarification provides diagnostic refinement and carries prognostic and predictive value in respect of essential therapeutic choices.
With this review of the literature, we focus on summarizing the latest recommendations and preferred genetic methods, as well as on emphasizing on their general benefits and limitations. Since none of these methods is actually totipotent, we also aim to shed light over the often-difficult choice of appropriate genetic analyses.
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Prider: multiplexed primer design using linearly scaling approximation of set coverage. BMC Bioinformatics 2022; 23:174. [PMID: 35549665 PMCID: PMC9097127 DOI: 10.1186/s12859-022-04710-1] [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: 11/23/2021] [Accepted: 05/04/2022] [Indexed: 11/22/2022] Open
Abstract
Background Designing oligonucleotide primers and probes is one of the key steps of various laboratory experiments such as multiplexed PCR or digital multiplexed ligation assays. When designing multiplexed primers and probes to complex, heterogeneous DNA data sets, an optimization problem can arise where the smallest number of oligonucleotides covering the largest diversity of the input dataset needs to be identified. Tools that provide this optimization in an efficient manner for large input data are currently lacking. Results Here we present Prider, an R package for designing primers and probes with a nearly optimal coverage for complex and large sequence sets. Prider initially prepares a full primer coverage of the input sequences, the complexity of which is subsequently reduced by removing components of high redundancy or narrow coverage. The primers from the resulting near-optimal coverage are easily accessible as data frames and their coverage across the input sequences can be visualised as heatmaps using Prider’s plotting function. Prider permits efficient design of primers to large DNA datasets by scaling linearly to increasing sequence data, regardless of the diversity of the dataset. Conclusions Prider solves a recalcitrant problem in molecular diagnostics: how to cover a maximal sequence diversity with a minimal number of oligonucleotide primers or probes. The combination of Prider with highly scalable molecular quantification techniques will permit an unprecedented molecular screening capability with immediate applicability in fields such as clinical microbiology, epidemic virus surveillance or antimicrobial resistance surveillance. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-04710-1.
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Evidence for ABL Amplification in Multiple Myeloma and Therapeutic Implications. JOURNAL OF ONCOLOGY 2022; 2022:4112016. [PMID: 35342415 PMCID: PMC8941557 DOI: 10.1155/2022/4112016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 02/14/2022] [Indexed: 11/23/2022]
Abstract
Background Cytogenetic abnormalities are considered initiating events in the pathogenesis of multiple myeloma (MM) and are assumed to be of clinical significance. Methods Fluorescence in situ hybridization (FISH) was used to analyze chromosomal architecture in 101 patients with MM. We evaluated overall patient survival and assessed the cytotoxicity of imatinib against MM cells using a CCK8 assay. Results ABL gene amplification was detected in 67 patients (66.3%). However, ABL gene amplification was not associated with clinical features, cytogenetic abnormalities (c-Myc amplification, IGH rearrangement, RB1 deletion, p53 deletion, or 1q21 amplification), or overall survival. ABL amplification in MM cell lines (LP-1 and U266) was revealed by FISH. Furthermore, the ABL protein was easily detectable in MM cell lines and some tumor cells by western blotting. A CCK8 assay indicated limited cytotoxicity of imatinib against MM cells. Conclusions Our study firstly discussed ABL gene amplification was prevalent in MM cells, and we believe that the ABL gene would potentially be a useful target in the treatment of combination strategy for MM with ABL amplification in the future.
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Croft J, Ellis S, Sherborne AL, Sharp K, Price A, Jenner MW, Drayson MT, Owen RG, Chown S, Lindsay J, Karunanithi K, Hunter H, Gregory WM, Davies FE, Morgan GJ, Cook G, Atanesyan L, Savola S, Cairns DA, Jackson G, Houlston RS, Kaiser MF. Copy number evolution and its relationship with patient outcome-an analysis of 178 matched presentation-relapse tumor pairs from the Myeloma XI trial. Leukemia 2021; 35:2043-2053. [PMID: 33262523 PMCID: PMC8257500 DOI: 10.1038/s41375-020-01096-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 10/02/2020] [Accepted: 11/14/2020] [Indexed: 12/25/2022]
Abstract
Structural chromosomal changes including copy number aberrations (CNAs) are a major feature of multiple myeloma (MM), however their evolution in context of modern biological therapy is not well characterized. To investigate acquisition of CNAs and their prognostic relevance in context of first-line therapy, we profiled tumor diagnosis-relapse pairs from 178 NCRI Myeloma XI (ISRCTN49407852) trial patients using digital multiplex ligation-dependent probe amplification. CNA profiles acquired at relapse differed substantially between MM subtypes: hyperdiploid (HRD) tumors evolved predominantly in branching pattern vs. linear pattern in t(4;14) vs. stable pattern in t(11;14). CNA acquisition also differed between subtypes based on CCND expression, with a marked enrichment of acquired del(17p) in CCND2 over CCND1 tumors. Acquired CNAs were not influenced by high-dose melphalan or lenalidomide maintenance randomization. A branching evolution pattern was significantly associated with inferior overall survival (OS; hazard ratio (HR) 2.61, P = 0.0048). As an individual lesion, acquisition of gain(1q) at relapse was associated with shorter OS, independent of other risk markers or time of relapse (HR = 2.00; P = 0.021). There is an increasing need for rational therapy sequencing in MM. Our data supports the value of repeat molecular profiling to characterize disease evolution and inform management of MM relapse.
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Affiliation(s)
- James Croft
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Sidra Ellis
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Amy L Sherborne
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Kim Sharp
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Amy Price
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Matthew W Jenner
- Department of Haematology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Mark T Drayson
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Roger G Owen
- Haematological Malignancy Diagnostic Service, St. James's University Hospital, Leeds, UK
| | - Sally Chown
- Gloucestershire Hospitals NHS Foundation Trust, Gloucester, UK
| | | | | | | | - Walter M Gregory
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, Leeds, UK
| | - Faith E Davies
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Gareth J Morgan
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Gordon Cook
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | | | | | - David A Cairns
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, Leeds, UK
| | - Graham Jackson
- Department of Haematology, University of Newcastle, Newcastle Upon Tyne, UK
| | - Richard S Houlston
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Martin F Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
- Department of Hematology, The Royal Marsden Hospital, London, UK.
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Digital multiplex ligation assay for highly multiplexed screening of β-lactamase-encoding genes in bacterial isolates. Commun Biol 2020; 3:264. [PMID: 32451431 PMCID: PMC7248093 DOI: 10.1038/s42003-020-0980-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 04/30/2020] [Indexed: 11/21/2022] Open
Abstract
Increasing incidence of antibiotic resistance in clinical and environmental settings calls for increased scalability in their surveillance. Current screening technologies are limited by the number of samples and genes that can easily be screened. We demonstrate here digital multiplex ligation assay (dMLA) as a low-cost targeted genomic detection workflow capable of highly-parallel screening of bacterial isolates for multiple target gene regions simultaneously. Here, dMLA is used for simultaneous detection of 1187 β-lactamase-encoding genes, including extended spectrum β-lactamase (ESBL) genes, in 74 bacterial isolates. We demonstrate dMLA as a light-weight and cost-efficient workflow which provides a highly scalable tool for antimicrobial resistance surveillance and is also adaptable to genetic screening applications beyond antibiotic resistance. Tamminen et al. develop a digital multiplex ligation assay (dMLA) that enables the detection of bacterial isolates using probe hybridization and ligation-based assays with next-generation sequencing. Their method can be applied in high-throughput and affordable screening for antibiotic resistance.
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Comprehensive profiling of disease-relevant copy number aberrations for advanced clinical diagnostics of pediatric acute lymphoblastic leukemia. Mod Pathol 2020; 33:812-824. [PMID: 31857684 DOI: 10.1038/s41379-019-0423-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 10/30/2019] [Accepted: 10/31/2019] [Indexed: 12/30/2022]
Abstract
Acute lymphoblastic leukemia is the most common pediatric cancer characterized by a heterogeneous genomic landscape with copy number aberrations occurring at various stages of pathogenesis, disease progression, and treatment resistance. In this study, disease-relevant copy number aberrations were profiled in bone marrow samples of 91 children with B- or T-cell precursor acute lymphoblastic leukemia using digital multiplex ligation-dependent probe amplification (digitalMLPATM). Whole chromosome gains and losses, subchromosomal copy number aberrations, as well as unbalanced alterations conferring intrachromosomal gene fusions were simultaneously identified with results available within 36 hours. Aberrations were observed in 96% of diagnostic patient samples, and increased numbers of copy number aberrations were detected at the time of relapse as compared with diagnosis. Comparative scrutiny of 24 matching diagnostic and relapse samples from 11 patients revealed three different patterns of clonal relationships with (i) one patient displaying identical copy number aberration profiles at diagnosis and relapse, (ii) six patients showing clonal evolution with all lesions detected at diagnosis being present at relapse, and (iii) four patients displaying conserved as well as lost or gained copy number aberrations at the time of relapse, suggestive of the presence of a common ancestral cell compartment giving rise to clinically manifest leukemia at different time points during the disease course. A newly introduced risk classifier combining cytogenetic data with digitalMLPATM-based copy number aberration profiles allowed for the determination of four genetic subgroups of B-cell precursor acute lymphoblastic leukemia with distinct event-free survival rates. DigitalMLPATM provides fast, robust, and highly optimized copy number aberration profiling for the genomic characterization of acute lymphoblastic leukemia samples, facilitates the decipherment of the clonal origin of relapse and provides highly relevant information for clinical prognosis assessment.
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