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Bardwell B, Bay J, Colburn Z. The clinical applications of immunosequencing. Curr Res Transl Med 2024; 72:103439. [PMID: 38447267 DOI: 10.1016/j.retram.2024.103439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/20/2023] [Accepted: 01/11/2024] [Indexed: 03/08/2024]
Abstract
Technological advances in high-throughput sequencing have opened the door for the interrogation of adaptive immune responses at unprecedented scale. It is now possible to determine the sequences of antibodies or T-cell receptors produced by individual B and T cells in a sample. This capability, termed immunosequencing, has transformed the study of both infectious and non-infectious diseases by allowing the tracking of dynamic changes in B and T cell clonal populations over time. This has improved our understanding of the pathology of cancers, autoimmune diseases, and infectious diseases. However, to date there has been only limited clinical adoption of the technology. Advances over the last decade and on the horizon that reduce costs and improve interpretability could enable widespread clinical use. Many clinical applications have been proposed and, while most are still undergoing research and development, some methods relying on immunosequencing data have been implemented, the most widespread of which is the detection of measurable residual disease. Here, we review the diagnostic, prognostic, and therapeutic applications of immunosequencing for both infectious and non-infectious diseases.
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Affiliation(s)
- B Bardwell
- Department of Clinical Investigation, Madigan Army Medical Center, 9040 Jackson Ave, Tacoma, WA 98431, USA
| | - J Bay
- Department of Medicine, Madigan Army Medical Center, 9040 Jackson Ave, Tacoma, WA 98431, USA
| | - Z Colburn
- Department of Clinical Investigation, Madigan Army Medical Center, 9040 Jackson Ave, Tacoma, WA 98431, USA.
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Fardoos R, Christensen C, Øbro NF, Overgaard UM, Als-Nielsen B, Madsen HO, Marquart HV. Flow Sorting, Whole Genome Amplification and Next-Generation Sequencing as Combined Tools to Study Heterogeneous Acute Lymphoblastic Leukemia. Diagnostics (Basel) 2023; 13:3306. [PMID: 37958202 PMCID: PMC10650172 DOI: 10.3390/diagnostics13213306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 11/15/2023] Open
Abstract
Next-generation sequencing (NGS) methods have been introduced for immunoglobulin (IG)/T-cell receptor (TR) gene rearrangement analysis in acute lymphoblastic leukemia (ALL) and lymphoma (LBL). These methods likely constitute faster and more sensitive approaches to analyze heterogenous cases of ALL/LBL, yet it is not known whether gene rearrangements constituting low percentages of the total sequence reads represent minor subpopulations of malignant cells or background IG/TR gene rearrangements in normal B-and T-cells. In a comparison of eight cases of B-cell precursor ALL (BCP-ALL) using both the EuroClonality NGS method and the IdentiClone multiplex-PCR/gene-scanning method, the NGS method identified between 29% and 139% more markers than the gene-scanning method, depending on whether the NGS data analysis used a threshold of 5% or 1%, respectively. As an alternative to using low thresholds, we show that IG/TR gene rearrangements in subpopulations of cancer cells can be discriminated from background IG/TR gene rearrangements in normal B-and T-cells through a combination of flow cytometry cell sorting and multiple displacement amplification (MDA)-based whole genome amplification (WGA) prior to the NGS. Using this approach to investigate the clonal evolution in a BCP-ALL patient with double relapse, clonal TR rearrangements were found in sorted leukemic cells at the time of second relapse that could be identified at the time of diagnosis, below 1% of the total sequence reads. These data emphasize that caution should be exerted when interpreting rare sequences in NGS experiments and show the advantage of employing the flow sorting of malignant cell populations in NGS clonality assessments.
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Affiliation(s)
- Rabiah Fardoos
- Department of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Claus Christensen
- Department of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Nina Friesgaard Øbro
- Department of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Ulrik Malthe Overgaard
- Department of Hematology, The University Hospital Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Bodil Als-Nielsen
- Department of Pediatric and Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, DK-2100 Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Hans Ole Madsen
- Department of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Hanne Vibeke Marquart
- Department of Clinical Immunology, Copenhagen University Hospital Rigshospitalet, DK-2100 Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, DK-2100 Copenhagen, Denmark
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Zhuo Z, Wang Q, Li C, Zhang L, Zhang L, You R, Gong Y, Hua Y, Miao L, Bai J, Zhang C, Feng R, Chen M, Su F, Qu C, Xiao F. IGH rod-like tracer: An AlphaFold2 structural similarity extraction-based predictive biomarker for MRD monitoring in pre-B-ALL. iScience 2023; 26:107107. [PMID: 37408685 PMCID: PMC10319212 DOI: 10.1016/j.isci.2023.107107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/31/2023] [Accepted: 06/08/2023] [Indexed: 07/07/2023] Open
Abstract
Sequence variation resulting from the evolution of IGH clones and immunophenotypic drift makes it difficult to track abnormal B cells in children with precursor B cell acute lymphoblastic leukemia (pre-B-ALL) by flow cytometry, qPCR, or next-generation sequencing (NGS). The V-(D)-J regions of immunoglobulin and T cell receptor of 47 pre-B-ALL samples were sequenced using the Illumina NovaSeq platform. The IGH rod-like tracer consensus sequence was extracted based on its rod-like alpha-helices structural similarity predicted by AlphaFold2. Additional data from published 203 pre-B-ALL samples were applied for validation. NGS-IGH (+) patients with pre-B-ALL had a poor prognosis. Consistent CDR3-coded protein structures in NGS-IGH (+) samples could be extracted as a potential follow-up marker for pre-B-ALL children during treatment. IGH rod-like tracer from quantitative immune repertoire sequencing may serve as a class of biomarker with significant predictive values for the dynamic monitoring of MRD in pre-B-ALL children.
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Affiliation(s)
- Zhongling Zhuo
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Department of Laboratory Medicine, Peking University People’s Hospital, Beijing, China
| | - Qingchen Wang
- Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Chang Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lili Zhang
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lanxin Zhang
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ran You
- Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Yan Gong
- Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Ying Hua
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Linzi Miao
- Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Jiefei Bai
- Department of Hematology, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chunli Zhang
- Department of Hematology, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ru Feng
- Department of Hematology, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Meng Chen
- National Cancer Data Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Fei Su
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chenxue Qu
- Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Fei Xiao
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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Fries C, Lee LW, Devidas M, Dai Y, Rabin KR, Gupta S, Loh ML, Kirsch IR, Wood B, Rau RE. Prognostic impact of pretreatment immunoglobulin clonal composition in pediatric B-lymphoblastic leukemia. Haematologica 2023; 108:900-904. [PMID: 36325891 PMCID: PMC9973485 DOI: 10.3324/haematol.2022.281146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022] Open
Affiliation(s)
- Carol Fries
- Department of Pediatrics, Hematology/Oncology, University of Rochester, Rochester.
| | | | - Meenakshi Devidas
- Department of Global Pediatric Medicine, St Jude Children's Research Hospital, Memphis
| | - Yunfeng Dai
- Department of Biostatistics, College of Medicine and Public Health and Health Professions, University of Florida, Gainesville, FL
| | - Karen R Rabin
- Department of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston
| | - Sumit Gupta
- Division of Hematology/Oncology, Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, ON
| | - Mignon L Loh
- Department of Pediatrics, Ben Towne Center for Childhood Cancer Research, Seattle Children's Hospital, Seattle, WA
| | | | - Brent Wood
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA
| | - Rachel E Rau
- Department of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston
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Chokr N, Gomez-Arteaga A. Measurable Residual Disease After CAR T-Cell Therapy. Semin Hematol 2023; 60:34-41. [PMID: 37080709 DOI: 10.1053/j.seminhematol.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/02/2023] [Accepted: 02/07/2023] [Indexed: 02/21/2023]
Abstract
Testing for measurable residual disease (MRD) provides important prognostic and predictive implications on survival and management of many hematologic diseases. Among the many clinical uses of MRD is post-therapy response assessment and risk stratification. With the integration of precision medicine in routine clinical care and the development of novel and innovative therapies resulting in deeper responses, it is necessary to refine the role of MRD, standardize available methodologies and define its role as a surrogate endpoint for relapse and time-to-next treatment in clinical studies. Chimeric Antigen Receptor (CAR) T-cell therapy is an approved treatment for various hematologic malignancies. Even though it produces high rates of remission, the durability of response is still a consideration as almost 40% to 50% of patients eventually relapse. MRD testing as a prognostic and surrogate marker is being explored in patients after CAR T-cell therapy to predict early relapse. In this chapter, we review the various tools available for MRD detection and monitoring post-CAR T-cell therapy. We later discuss disease-specific MRD assessment and its application in recent studies in the post-CAR T setting.
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Chen X, Gao Q, Roshal M, Cherian S. Flow cytometric assessment for minimal/measurable residual disease in B lymphoblastic leukemia/lymphoma in the era of immunotherapy. Cytometry B Clin Cytom 2023; 104:205-223. [PMID: 36683279 DOI: 10.1002/cyto.b.22113] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 11/30/2022] [Accepted: 12/28/2022] [Indexed: 01/24/2023]
Abstract
Minimal/measurable residual disease (MRD) is the most important independent prognostic factor for patients with B-lymphoblastic leukemia (B-LL). MRD post therapy has been incorporated into risk stratification and clinical management, resulting in substantially improved outcomes in pediatric and adult patients. Currently, MRD in B-ALL is most commonly assessed by multiparametric flow cytometry and molecular (polymerase chain reaction or high-throughput sequencing based) methods. The detection of MRD by flow cytometry in B-ALL often begins with B cell antigen-based gating strategies. Over the past several years, targeted immunotherapy directed against B cell markers has been introduced in patients with relapsed or refractory B-ALL and has demonstrated encouraging results. However, targeted therapies have significant impact on the immunophenotype of leukemic blasts, in particular, downregulation or loss of targeted antigens on blasts and normal B cell precursors, posing challenges for MRD detection using standard gating strategies. Novel flow cytometric approaches, using alternative strategies for population identification, sometimes including alternative gating reagents, have been developed and implemented to monitor MRD in the setting of post targeted therapy.
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Affiliation(s)
- Xueyan Chen
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Qi Gao
- Hematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Mikhail Roshal
- Hematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Sindhu Cherian
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
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Della Starza I, De Novi LA, Elia L, Bellomarino V, Beldinanzi M, Soscia R, Cardinali D, Chiaretti S, Guarini A, Foà R. Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia. Cancers (Basel) 2023; 15. [PMID: 36672325 DOI: 10.3390/cancers15020374] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/02/2023] [Accepted: 01/03/2023] [Indexed: 01/09/2023] Open
Abstract
Minimal/measurable residual disease (MRD) evaluation has resulted in a fundamental instrument to guide patient management in acute lymphoblastic leukemia (ALL). From a methodological standpoint, MRD is defined as any approach aimed at detecting and possibly quantifying residual neoplastic cells beyond the sensitivity level of cytomorphology. The molecular methods to study MRD in ALL are polymerase chain reaction (PCR) amplification-based approaches and are the most standardized techniques. However, there are some limitations, and emerging technologies, such as digital droplet PCR (ddPCR) and next-generation sequencing (NGS), seem to have advantages that could improve MRD analysis in ALL patients. Furthermore, other blood components, namely cell-free DNA (cfDNA), appear promising and are also being investigated for their potential role in monitoring tumor burden and response to treatment in hematologic malignancies. Based on the review of the literature and on our own data, we hereby discuss how emerging molecular technologies are helping to refine the molecular monitoring of MRD in ALL and may help to overcome some of the limitations of standard approaches, providing a benefit for the care of patients.
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Matera A, Marella A, Maeda A, Da Vià MC, Lazzaroni F, Fabris S, Pioggia S, Porretti L, Colombo F, Torricelli F, Neri A, Taiana E, Fabbiano G, Traini V, Genuardi E, Drandi D, Bolli N, Lionetti M. Single-Cell RNA Sequencing for the Detection of Clonotypic V(D)J Rearrangements in Multiple Myeloma. Int J Mol Sci 2022; 23. [PMID: 36555330 DOI: 10.3390/ijms232415691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022] Open
Abstract
Multiple myeloma (MM) has a highly heterogeneous genetic background, which complicates its molecular tracking over time. Nevertheless, each MM patient's malignant plasma cells (PCs) share unique V(D)J rearranged sequences at immunoglobulin loci, which represent ideal disease biomarkers. Because the tumor-specific V(D)J sequence is highly expressed in bulk RNA in MM patients, we wondered whether it can be identified by single-cell RNA sequencing (scRNA-seq). To this end we analyzed CD138+ cells purified from bone marrow aspirates of 19 samples with PC dyscrasias by both a standard method based on bulk DNA and by an implementation of the standard 10x Genomics protocol to detect expressed V(D)J sequences. A dominant clonotype was easily identified in each sample, accounting on average for 83.65% of V(D)J-rearranged cells. Compared with standard methods, scRNA-seq analysis proved highly concordant and even more effective in identifying clonal productive rearrangements, by-passing limitations related to the misannealing of consensus primers in hypermutated regions. We next validated its accuracy to track 5 clonal cells with absolute sensitivity in a virtual sample containing 3180 polyclonal cells. This shows that single-cell V(D)J analysis may be used to find rare clonal cells, laying the foundations for functional single-cell dissection of minimal residual disease.
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Bartram J, Wright G, Adams S, Archer P, Brooks T, Edwards D, Hancock J, Knecht H, Inglott S, Mountjoy E, Roynane M, Wakeman S, Moppett J, Hubank M, Goulden N. High-throughput sequencing of peripheral blood for minimal residual disease monitoring in childhood precursor B-cell acute lymphoblastic leukemia: A prospective feasibility study. Pediatr Blood Cancer 2022; 69:e29513. [PMID: 34971078 DOI: 10.1002/pbc.29513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 10/28/2021] [Accepted: 11/20/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND Minimal residual disease (MRD) measured on end-of-induction bone marrow (BM) is the most important biomarker for guiding therapy in pediatric acute lymphoblastic leukemia (ALL). Due to limited sensitivity of current approaches, peripheral blood (PB) is not a reliable source for identifying patients needing treatment changes. We sought to determine if high-throughput sequencing (HTS) (next-generation sequencing) of rearranged immunoglobulin and T-cell receptor genes can overcome this and be used to measure MRD in PB. PROCEDURE We employed a quantitative HTS approach to accurately measure MRD from one million cell equivalents of DNA from 17 PB samples collected at day 29 after induction therapy in patients with precursor B-cell ALL. We compared these results to the gold-standard real-time PCR result obtained from their paired BM samples, median follow-up 49 months. RESULTS With the increased sensitivity, detecting up to one abnormal cell in a million normal cells, we were able to detect MRD in the PB by HTS in all those patients requiring treatment intensification (MRD ≥ 0.005% in BM). CONCLUSION This is proof of principle that using the increased sensitivity of HTS, PB can be used to measure MRD and stratify children with ALL. The method is cost effective, rapid, accurate, and reproducible, with inherent advantages in children. Importantly, increasing the frequency testing by PB as opposed to intermittent BM sampling may allow extension of the dynamic range of MRD, giving a more complete picture of the kinetics of disease remission while improving relapse prediction and speed of detection.
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Affiliation(s)
- Jack Bartram
- Depatment of Haematology, Great Ormond Street Hospital for Children, London, UK.,Cancer Section, Institute of Child Health, University College London, UK
| | - Gary Wright
- Depatment of Haematology, Great Ormond Street Hospital for Children, London, UK
| | - Stuart Adams
- Depatment of Haematology, Great Ormond Street Hospital for Children, London, UK
| | - Paul Archer
- Bristol Genetics Laboratory, Southmead Hospital, North Bristol NHS Trust, UK
| | - Tony Brooks
- UCL Genomics, Institute of Child Health, University College London, UK
| | - Darren Edwards
- Cancer Section, Institute of Child Health, University College London, UK
| | - Jerry Hancock
- Bristol Genetics Laboratory, Southmead Hospital, North Bristol NHS Trust, UK
| | - Henrik Knecht
- Department of Hematology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Sarah Inglott
- Depatment of Haematology, Great Ormond Street Hospital for Children, London, UK
| | - Edward Mountjoy
- School of Social and Community Medicine, University of Bristol, UK
| | - Marie Roynane
- Depatment of Haematology, Great Ormond Street Hospital for Children, London, UK
| | - Stephanie Wakeman
- Bristol Genetics Laboratory, Southmead Hospital, North Bristol NHS Trust, UK
| | - John Moppett
- Department of Paediatric Haematology/Oncology, Royal Hospital for Children, Bristol, UK
| | - Mike Hubank
- Centre for Molecular Pathology, The Royal Marsden, Sutton, UK
| | - Nick Goulden
- Depatment of Haematology, Great Ormond Street Hospital for Children, London, UK.,Trapehade, Monferran-Plavès, France
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Levy G, Kicinski M, Van der Straeten J, Uyttebroeck A, Ferster A, De Moerloose B, Dresse MF, Chantrain C, Brichard B, Bakkus M. Immunoglobulin Heavy Chain High-Throughput Sequencing in Pediatric B-Precursor Acute Lymphoblastic Leukemia: Is the Clonality of the Disease at Diagnosis Related to Its Prognosis? Front Pediatr 2022; 10:874771. [PMID: 35712632 PMCID: PMC9197340 DOI: 10.3389/fped.2022.874771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 04/29/2022] [Indexed: 11/13/2022] Open
Abstract
High-throughput sequencing (HTS) of the immunoglobulin heavy chain (IgH) locus is a recent very efficient technique to monitor minimal residual disease of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). It also reveals the sequences of clonal rearrangements, therefore, the multiclonal structure, of BCP-ALL. In this study, we performed IgH HTS on the diagnostic bone marrow of 105 children treated between 2004 and 2008 in Belgium for BCP-ALL in the European Organization for Research and Treatment of Cancer (EORTC)-58951 clinical trial. Patients were included irrespectively of their outcome. We described the patterns of clonal complexity at diagnosis and investigated its association with patients' characteristics. Two indicators of clonal complexity were used, namely, the number of foster clones, described as clones with similar D-N2-J rearrangements but other V-rearrangement and N1-joining, and the maximum across all foster clones of the number of evolved clones from one foster clone. The maximum number of evolved clones was significantly higher in patients with t(12;21)/ETV6:RUNX1. A lower number of foster clones was associated with a higher risk group after prephase and t(12;21)/ETV6:RUNX1 genetic type. This study observes that clonal complexity as accessed by IgH HTS is linked to prognostic factors in childhood BCP-ALL, suggesting that it may be a useful diagnostic tool for BCP-ALL status and prognosis.
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Affiliation(s)
- Gabriel Levy
- de Duve Institute, Université Catholique de Louvain, Brussels, Belgium.,Ludwig Institute for Cancer Research, Brussels, Belgium.,Department of Pediatric Oncology and Hematology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Michal Kicinski
- European Organization for Research and Treatment of Cancer (EORTC) Headquarters, Brussels, Belgium
| | - Jona Van der Straeten
- Molecular Hematology Laboratory, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Anne Uyttebroeck
- Department of Pediatric Hemato-Oncology, UZ Leuven, Leuven, Belgium
| | - Alina Ferster
- Department of Pediatric Hematology-Oncology, Children's University Hospital Queen Fabiola, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Barbara De Moerloose
- Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Marie-Francoise Dresse
- Department of Pediatrics, Centre Hospitalier Régional (CHR) de la Citadelle, Liège, Belgium
| | - Christophe Chantrain
- Division of Pediatric Hematology-Oncology, Centre Hospitalier Chrétien (CHC) MontLégia, Liège, Belgium
| | - Bénédicte Brichard
- Department of Pediatric Oncology and Hematology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Marleen Bakkus
- Molecular Hematology Laboratory, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
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Zhou Y, Wai-Choi Tse E, Leung R, Cheung E, Li H, Sun H. Multiplex Single-Cell Analysis of Cancer Cells Enables Unbiased Uncovering Subsets Associated with Cancer Relapse: Heterogeneity of Multidrug Resistance in Precursor B-ALL. ChemMedChem 2021; 17:e202100638. [PMID: 34783169 DOI: 10.1002/cmdc.202100638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/13/2021] [Indexed: 11/08/2022]
Abstract
Earlier detection of biomarkers responsible for cancer relapse facilitates more rational cancer treatment regimens to be designed. Herein, we develop a mass cytometry-based strategy for unbiased mining of cell subsets that potentially contribute to cancer recurrence through panoramic examination of the immunophenotypic features and multidrug resistance characteristics. The incorporation of metal tags enables multiplexed information of single cells to be interrogated based on metal fingerprint. Using acute lymphoblastic leukemia (B-ALL) as a showcase, we show overexpressed multidrug resistance biomarkers, i. e., BCRP, Bcl-2, MRP1, and P-gp in B-ALL cells compared with healthy control, and a positive correlation among different multidrug resistance biomarkers. Different cell subsets with multidrug resistance are well-defined, featured with CD34+ CD38+ CD10- and CD34+ CD38+/int CD10+ . Importantly, we uncovered that CD34 expression level is positively correlated to multidrug resistance, indicative of a higher potential of immature cells to induce B-ALL relapse. In addition, the cell subsets positively expressing CD73 and CD304 (CD34+ CD10+ CD304+ ; CD34+ CD38+/int CD10+ CD73+ ) also overexpress multidrug resistance biomarkers, suggesting that they may serve as additional new biomarkers for B-ALL stratification and prognosis. Our data provide the first evidence that highly expressed multidrug resistance biomarkers in certain cell subpopulations with specific immunophenotypes may potentially induce B-ALL recurrence. The incorporation of multidrug resistance features with cell phenotypes using mass cytometry proposed in this study provides a general strategy for risk assessment and the prediction of recurrence of different types of cancers.
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Affiliation(s)
- Ying Zhou
- Department of Chemistry, CAS-HKU Joint Laboratory of Metallomics on Health and Environment, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Eric Wai-Choi Tse
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Rock Leung
- Department of Pathology, Queen Mary Hospital, Pokfulam Road, Hong Kong, China
| | - Edwin Cheung
- Cancer Centre, Centre of Precision Medicine Research & Training, Faculty of Health Sciences, University of Macau, Macau, China
| | - Hongyan Li
- Department of Chemistry, CAS-HKU Joint Laboratory of Metallomics on Health and Environment, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Hongzhe Sun
- Department of Chemistry, CAS-HKU Joint Laboratory of Metallomics on Health and Environment, The University of Hong Kong, Pokfulam Road, Hong Kong, China
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12
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Bueno C, Ballerini P, Varela I, Menendez P, Bashford-Rogers R. Shared D-J rearrangements reveal cell of origin of TCF3-ZNF384 and PTPN11 mutations in monozygotic twins with concordant BCP-ALL. Blood 2020; 136:1108-11. [PMID: 32609826 DOI: 10.1182/blood.2020006604] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
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13
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Merli P, Ifversen M, Truong TH, Marquart HV, Buechner J, Wölfl M, Bader P. Minimal Residual Disease Prior to and After Haematopoietic Stem Cell Transplantation in Children and Adolescents With Acute Lymphoblastic Leukaemia: What Level of Negativity Is Relevant? Front Pediatr 2021; 9:777108. [PMID: 34805054 PMCID: PMC8602790 DOI: 10.3389/fped.2021.777108] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 10/14/2021] [Indexed: 12/18/2022] Open
Abstract
Minimal residual disease (MRD) assessment plays a central role in risk stratification and treatment guidance in paediatric patients with acute lymphoblastic leukaemia (ALL). As such, MRD prior to haematopoietic stem cell transplantation (HSCT) is a major factor that is independently correlated with outcome. High burden of MRD is negatively correlated with post-transplant survival, as both the risk of leukaemia recurrence and non-relapse mortality increase with greater levels of MRD. Despite growing evidence supporting these findings, controversies still exist. In particular, it is still not clear whether multiparameter flow cytometry and real-time quantitative polymerase chain reaction, which is used to recognise immunoglobulin and T-cell receptor gene rearrangements, can be employed interchangeably. Moreover, the higher sensitivity in MRD quantification offered by next-generation sequencing techniques may further refine the ability to stratify transplant-associated risks. While MRD quantification from bone marrow prior to HSCT remains the state of the art, heavily pre-treated patients may benefit from additional staging, such as using 18F-fluorodeoxyglucose positron emission tomography/computed tomography to detect focal residues of disease. Additionally, the timing of MRD detection (i.e., immediately before administration of the conditioning regimen or weeks before) is a matter of debate. Pre-transplant MRD negativity has previously been associated with superior outcomes; however, in the recent For Omitting Radiation Under Majority age (FORUM) study, pre-HSCT MRD positivity was associated with neither relapse risk nor survival. In this review, we discuss the level of MRD that may require pre-transplant therapy intensification, risking time delay and complications (as well as losing the window for HSCT if disease progression occurs), as opposed to an adapted post-transplant strategy to achieve long-term remission. Indeed, MRD monitoring may be a valuable tool to guide individualised treatment decisions, including tapering of immunosuppression, cellular therapies (such as donor lymphocyte infusions) or additional immunotherapy (such as bispecific T-cell engagers or chimeric antigen receptor T-cell therapy).
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Affiliation(s)
- Pietro Merli
- Department of Pediatric Hematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Marianne Ifversen
- Pediatric Stem Cell Transplant and Immune Deficiency, Department of Paediatrics and Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Tony H Truong
- Division of Pediatric Oncology and Bone Marrow Transplant, Alberta Children's Hospital, University of Calgary, Calgary, AB, Canada
| | - Hanne V Marquart
- Section for Diagnostic Immunology, Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jochen Buechner
- Department of Pediatric Hematology and Oncology, Oslo University Hospital, Oslo, Norway
| | - Matthias Wölfl
- Pediatric Hematology, Oncology and Stem Cell Transplantation, Children's Hospital, Würzburg University Hospital, Würzburg, Germany
| | - Peter Bader
- Division for Stem Cell Transplantation, Immunology and Intensive Care Medicine, Department for Children and Adolescents, Goethe University, University Hospital Frankfurt, Frankfurt, Germany
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14
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Burrows N, Bashford-Rogers RJM, Bhute VJ, Peñalver A, Ferdinand JR, Stewart BJ, Smith JEG, Deobagkar-Lele M, Giudice G, Connor TM, Inaba A, Bergamaschi L, Smith S, Tran MGB, Petsalaki E, Lyons PA, Espeli M, Huntly BJP, Smith KGC, Cornall RJ, Clatworthy MR, Maxwell PH. Dynamic regulation of hypoxia-inducible factor-1α activity is essential for normal B cell development. Nat Immunol 2020; 21:1408-1420. [PMID: 32868930 PMCID: PMC7613233 DOI: 10.1038/s41590-020-0772-8] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 07/29/2020] [Indexed: 02/02/2023]
Abstract
B lymphocyte development and selection are central to adaptive immunity and self-tolerance. These processes require B cell receptor (BCR) signaling and occur in bone marrow, an environment with variable hypoxia, but whether hypoxia-inducible factor (HIF) is involved is unknown. We show that HIF activity is high in human and murine bone marrow pro-B and pre-B cells and decreases at the immature B cell stage. This stage-specific HIF suppression is required for normal B cell development because genetic activation of HIF-1α in murine B cells led to reduced repertoire diversity, decreased BCR editing and developmental arrest of immature B cells, resulting in reduced peripheral B cell numbers. HIF-1α activation lowered surface BCR, CD19 and B cell-activating factor receptor and increased expression of proapoptotic BIM. BIM deletion rescued the developmental block. Administration of a HIF activator in clinical use markedly reduced bone marrow and transitional B cells, which has therapeutic implications. Together, our work demonstrates that dynamic regulation of HIF-1α is essential for normal B cell development.
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Affiliation(s)
- Natalie Burrows
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
| | - Rachael J M Bashford-Rogers
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Nuffield Department of Medicine, Wellcome Centre for Human Genetics, Oxford, UK
| | - Vijesh J Bhute
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Ana Peñalver
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - John R Ferdinand
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Benjamin J Stewart
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cellular Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Joscelin E G Smith
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Mukta Deobagkar-Lele
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Girolamo Giudice
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Thomas M Connor
- Oxford Kidney Unit, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Akimichi Inaba
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Laura Bergamaschi
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Cambridge Institute of Therapeutic Immunology & Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Sam Smith
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Maxine G B Tran
- UCL Division of Surgery and Interventional Science, Royal Free Hospital, London, UK
- Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
| | - Evangelia Petsalaki
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Paul A Lyons
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Cambridge Institute of Therapeutic Immunology & Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Marion Espeli
- Université de Paris, Institut de Recherche Saint Louis, EMiLy, Inserm U1160, Paris, France
| | - Brian J P Huntly
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Department of Haematology, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Kenneth G C Smith
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Cambridge Institute of Therapeutic Immunology & Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Richard J Cornall
- Nuffield Department of Medicine, Wellcome Centre for Human Genetics, Oxford, UK
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Menna R Clatworthy
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cellular Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Patrick H Maxwell
- Cambridge Institute for Medical Research, The Keith Peters Building, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- Department of Medicine, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
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15
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Abstract
Advances in reading, writing, and editing DNA are providing unprecedented insights into the complexity of immunological systems. This combination of systems and synthetic biology methods is enabling the quantitative and precise understanding of molecular recognition in adaptive immunity, thus providing a framework for reprogramming immune responses for translational medicine. In this review, we will highlight state-of-the-art methods such as immune repertoire sequencing, immunoinformatics, and immunogenomic engineering and their application toward adaptive immunity. We showcase novel and interdisciplinary approaches that have the promise of transforming the design and breadth of molecular and cellular immunotherapies.
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Affiliation(s)
- Lucia Csepregi
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
| | - Roy A. Ehling
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
| | - Bastian Wagner
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
| | - Sai T. Reddy
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
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16
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Ronchi A, Zito Marino F, Vitiello P, Caccavale S, Argenziano G, Crisci S, Franco R, Sica A. A case of primary cutaneous B-cell lymphoma with immature features in an old man. Diffuse large B-cell lymphoma with immature features or B-cell lymphoblastic lymphoma? J Cutan Pathol 2020; 48:535-540. [PMID: 32623764 DOI: 10.1111/cup.13795] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 06/24/2020] [Accepted: 07/01/2020] [Indexed: 12/22/2022]
Abstract
Primary cutaneous B-cell lymphomas are a heterogeneous group of lymphoid neoplasms primarily occurring in the skin. Although most cases are represented by primary cutaneous follicle center cell lymphoma, primary cutaneous marginal zone lymphoma and leg-type diffuse large B-cell lymphoma, other diffuse large B-cell lymphomas and B-cell lymphoblastic lymphoma may rarely present primarily in the skin. In this setting, the presence of histopathologic and immunohistochemical features of cellular immaturity is exceedingly rare and may represent a diagnostic challenge. We present the first case of a primary cutaneous diffuse large B-cell lymphoma characterized by diminished expression of CD45, expression of TdT and rearrangement of MYC gene. The differential diagnosis mainly included B-cell lymphoblastic lymphoma, and required the genetic analysis of heavy chain (IGH) gene rearrangements.
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Affiliation(s)
- Andrea Ronchi
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Federica Zito Marino
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Paola Vitiello
- Dermatology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Stefano Caccavale
- Dermatology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Giuseppe Argenziano
- Dermatology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Stefania Crisci
- Hematology-Oncology and Stem Cell Transplantation Unit, Istituto Nazionale Tumori, Fondazione "G. Pascale" IRCCS, Naples, Italy
| | - Renato Franco
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Antonello Sica
- Oncology and Hematology Unit, Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
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17
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Ahmed I, Tucci FA, Aflalo A, Smith KGC, Bashford-Rogers RJM. Ultrasensitive amplicon barcoding for next-generation sequencing facilitating sequence error and amplification-bias correction. Sci Rep 2020; 10:10570. [PMID: 32601361 DOI: 10.1038/s41598-020-67290-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 06/01/2020] [Indexed: 11/08/2022] Open
Abstract
The ability to accurately characterize DNA variant proportions using PCR amplification is key to many genetic studies, including studying tumor heterogeneity, 16S microbiome, viral and immune receptor sequencing. We develop a novel generalizable ultrasensitive amplicon barcoding approach that significantly reduces the inflation/deflation of DNA variant proportions due to PCR amplification biases and sequencing errors. This method was applied to immune receptor sequencing, where it significantly improves the quality and estimation of diversity of the resulting library.
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18
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Kiss R, Gángó A, Benard-Slagter A, Egyed B, Haltrich I, Hegyi L, de Groot K, Király PA, Krizsán S, Kajtár B, Pikó H, Pajor L, Vojcek Á, Matolcsy A, Kovács G, Szuhai K, Savola S, Bödör C, Alpár D. Comprehensive profiling of disease-relevant copy number aberrations for advanced clinical diagnostics of pediatric acute lymphoblastic leukemia. Mod Pathol 2020; 33:812-24. [PMID: 31857684 DOI: 10.1038/s41379-019-0423-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [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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19
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Bashford-Rogers RJM, Bergamaschi L, McKinney EF, Pombal DC, Mescia F, Lee JC, Thomas DC, Flint SM, Kellam P, Jayne DRW, Lyons PA, Smith KGC. Analysis of the B cell receptor repertoire in six immune-mediated diseases. Nature 2019; 574:122-6. [PMID: 31554970 DOI: 10.1038/s41586-019-1595-3] [Citation(s) in RCA: 140] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 08/21/2019] [Indexed: 01/22/2023]
Abstract
B cells are important in the pathogenesis of many, and perhaps all, immune-mediated diseases (IMDs). Each B cell expresses a single B cell receptor (BCR)1, with the diverse range of BCRs expressed by an individual’s total B cell population being termed the “BCR repertoire”. Our understanding of the BCR repertoire in the context of IMDs is incomplete, and defining this could reveal new insights into pathogenesis and therapy. We therefore compared the BCR repertoire in systemic lupus erythematosus (SLE), ANCA-associated vasculitis (AAV), Crohn’s disease (CD), Behçet’s disease (BD), eosinophilic granulomatosis with polyangiitis (EGPA) and IgA vasculitis (IgAV), analysing BCR clonality, and immunoglobulin heavy chain gene (IGHV) and, in particular, isotype usage. An IgA-dominated increased clonality in SLE and CD, together with skewed IGHV gene usage in these and other diseases, suggested a microbial contribution to pathogenesis. Different immunosuppressive treatment had specific and distinct impacts on the repertoire; B cells persisting after rituximab were predominately isotype-switched and clonally expanded, the inverse of those persisting after mycophenolate mofetil. A comparative analysis of the BCR repertoire in immune-mediated disease reveals a complex B cell architecture, providing a platform for understanding pathological mechanisms and designing treatment strategies.
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20
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Abstract
V(D)J recombination generates antigen receptor diversity by mixing and matching individual variable (V), diversity (D), and joining (J) gene segments. An obligate by-product of many of these reactions is the excised signal circle (ESC), generated by excision of the DNA from between the gene segments. Initially, the ESC was believed to be inert and formed to protect the genome from reactive broken DNA ends but more recent work suggests that the ESC poses a substantial threat to genome stability. Crucially, the recombinase re-binds to the ESC, which can result in it being re-integrated back into the genome, to cause potentially oncogenic insertion events. In addition, very recently, the ESC/recombinase complex was found to catalyze breaks at recombination signal sequences (RSSs) throughout the genome, via a “cut-and-run” mechanism. Remarkably, the ESC/recombinase complex triggers these breaks at key leukemia driver genes, implying that this reaction could be a significant cause of lymphocyte genome instability. Here, we explore these alternate pathways and discuss their relative dangers to lymphocyte genome stability.
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Affiliation(s)
- Alastair L Smith
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - James N F Scott
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Joan Boyes
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
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21
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Bueno C, Tejedor JR, Bashford-Rogers R, González-Silva L, Valdés-Mas R, Agraz-Doblás A, Díaz de la Guardia R, Ribera J, Zamora L, Bilhou-Nabera C, Abermil N, Guermouche H, Gouache E, Leverger G, Fraga MF, Fernández AF, Ballerini P, Varela I, Menendez P. Natural history and cell of origin of TC F3- ZN F384 and PTPN11 mutations in monozygotic twins with concordant BCP-ALL. Blood 2019; 134:900-5. [PMID: 31221673 DOI: 10.1182/blood.2019000893] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
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22
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Coccaro N, Anelli L, Zagaria A, Specchia G, Albano F. Next-Generation Sequencing in Acute Lymphoblastic Leukemia. Int J Mol Sci 2019; 20:ijms20122929. [PMID: 31208040 PMCID: PMC6627957 DOI: 10.3390/ijms20122929] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 06/04/2019] [Accepted: 06/14/2019] [Indexed: 12/25/2022] Open
Abstract
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer and accounts for about a quarter of adult acute leukemias, and features different outcomes depending on the age of onset. Improvements in ALL genomic analysis achieved thanks to the implementation of next-generation sequencing (NGS) have led to the recent discovery of several novel molecular entities and to a deeper understanding of the existing ones. The purpose of our review is to report the most recent discoveries obtained by NGS studies for ALL diagnosis, risk stratification, and treatment planning. We also report the first efforts at NGS use for minimal residual disease (MRD) assessment, and early studies on the application of third generation sequencing in cancer research. Lastly, we consider the need for the integration of NGS analyses in clinical practice for genomic patients profiling from the personalized medicine perspective.
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Affiliation(s)
- Nicoletta Coccaro
- Department of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, 70124 Bari, Italy.
| | - Luisa Anelli
- Department of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, 70124 Bari, Italy.
| | - Antonella Zagaria
- Department of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, 70124 Bari, Italy.
| | - Giorgina Specchia
- Department of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, 70124 Bari, Italy.
| | - Francesco Albano
- Department of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, 70124 Bari, Italy.
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23
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Lanz TV, Pröbstel AK, Mildenberger I, Platten M, Schirmer L. Single-Cell High-Throughput Technologies in Cerebrospinal Fluid Research and Diagnostics. Front Immunol 2019; 10:1302. [PMID: 31244848 PMCID: PMC6579921 DOI: 10.3389/fimmu.2019.01302] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 05/22/2019] [Indexed: 01/08/2023] Open
Abstract
High-throughput single-cell technologies have recently emerged as essential tools in biomedical research with great potential for clinical pathology when studying liquid and solid biopsies. We provide an update on current single-cell methods in cerebrospinal fluid research and diagnostics, focusing on high-throughput cell-type specific proteomic and genomic technologies. Proteomic methods comprising flow cytometry and mass cytometry as well as genomic approaches including immune cell repertoire and single-cell transcriptomic studies are critically reviewed and future directions discussed.
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Affiliation(s)
- Tobias V. Lanz
- Department of Neurology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Anne-Katrin Pröbstel
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
- Departments of Medicine and Biomedicine, Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Iris Mildenberger
- Department of Neurology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lucas Schirmer
- Department of Neurology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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24
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Affiliation(s)
- Anna Monter
- Laboratori d´Hematologia. Department of Hematology, Hospital de la Santa Creu i Sant Pau, IIB Sant Pau. Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Josep F. Nomdedéu
- Laboratori d´Hematologia. Department of Hematology, Hospital de la Santa Creu i Sant Pau, IIB Sant Pau. Universitat Autònoma de Barcelona, Barcelona, Spain
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25
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Greenfield AL, Dandekar R, Ramesh A, Eggers EL, Wu H, Laurent S, Harkin W, Pierson NS, Weber MS, Henry RG, Bischof A, Cree BA, Hauser SL, Wilson MR, von Büdingen HC. Longitudinally persistent cerebrospinal fluid B cells can resist treatment in multiple sclerosis. JCI Insight 2019; 4:126599. [PMID: 30747723 DOI: 10.1172/jci.insight.126599] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 02/05/2019] [Indexed: 12/27/2022] Open
Abstract
B cells are key contributors to chronic autoimmune pathology in multiple sclerosis (MS). Clonally related B cells exist in the cerebrospinal fluid (CSF), meninges, and CNS parenchyma of MS patients. We sought to investigate the presence of clonally related B cells over time by performing Ig heavy chain variable region repertoire sequencing on B cells from longitudinally collected blood and CSF samples of MS patients (n = 10). All patients were untreated at the time of the initial sampling; the majority (n = 7) were treated with immune-modulating therapies 1.2 (±0.3 SD) years later during the second sampling. We found clonal persistence of B cells in the CSF of 5 patients; these B cells were frequently Ig class-switched and CD27+. Specific blood B cell subsets appear to provide input into CNS repertoires over time. We demonstrate complex patterns of clonal B cell persistence in CSF and blood, even in patients on immune-modulating therapy. Our findings support the concept that peripheral B cell activation and CNS-compartmentalized immune mechanisms can in part be therapy resistant.
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Affiliation(s)
- Ariele L Greenfield
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Ravi Dandekar
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Akshaya Ramesh
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Erica L Eggers
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Hao Wu
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Sarah Laurent
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - William Harkin
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Natalie S Pierson
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Martin S Weber
- Institute of Neuropathology, Department of Neurology, University Medical Center Göttingen, Germany
| | - Roland G Henry
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Antje Bischof
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Bruce Ac Cree
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Stephen L Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - Michael R Wilson
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
| | - H-Christian von Büdingen
- UCSF Weill Institute for Neurosciences, Department of Neurology, UCSF, San Francisco, California, USA
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Zhang L, Hu LP, Liu XM, Guo Y, Yang WY, Zhang JY, Liu F, Liu TF, Wang SC, Chen XJ, Ruan M, Qi BQ, Chang LX, Chen YM, Zou Y, Zhu XF. [Heterogeneity and clonal evolution in pediatric ETV6-RUNX1(+) acute lymphoblastic leukemia by quantitative multigene fluorescence in situ hybridization]. Zhonghua Xue Ye Xue Za Zhi 2019; 38:586-591. [PMID: 28810325 PMCID: PMC7342287 DOI: 10.3760/cma.j.issn.0253-2727.2017.07.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
目的 研究儿童ETV6-RUNX1阳性急性淋巴细胞白血病(ALL)中肿瘤细胞的异质性及克隆演化情况,探讨克隆演化与预后的相关性。 方法 应用单细胞定量多基因荧光原位杂交(QM-FISH)技术对2006年2月至2011年6月收治的48例ETV6-RUNX1阳性ALL患儿的骨髓标本进行多个基因拷贝数变异的检测,并进行克隆演化分析。将4例复发患儿初诊与复发时的情况进行比较。 结果 在48例行QM-FISH检测的患儿中,初诊时为1个克隆的有34例(70.8%),2个克隆的有9例(18.8%),≥3个克隆的有5例(10.4%)。患儿的肿瘤细胞存在异质性,各亚克隆之间呈线性或树枝状演化。白血病细胞的亚克隆数与患者预后无相关性(5年总生存率:P=0.469;5年无病生存率:P=0.116)。复发克隆可能与初诊时克隆一致,也可能为新出现克隆。复发克隆为新出现克隆的患儿再次缓解时间短,预后更差。 结论 ETV6-RUNX1阳性ALL患儿肿瘤细胞存在异质性及克隆演化情况。QM-FISH有助于研究白血病细胞的克隆演化,复发克隆为新出现克隆的患儿可能预后更差。
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Affiliation(s)
- L Zhang
- Department of Pediatrics, Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China
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27
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Agraz-Doblas A, Bueno C, Bashford-Rogers R, Roy A, Schneider P, Bardini M, Ballerini P, Cazzaniga G, Moreno T, Revilla C, Gut M, Valsecchi MG, Roberts I, Pieters R, De Lorenzo P, Varela I, Menendez P, Stam RW. Unraveling the cellular origin and clinical prognostic markers of infant B-cell acute lymphoblastic leukemia using genome-wide analysis. Haematologica 2019; 104:1176-1188. [PMID: 30679323 PMCID: PMC6545849 DOI: 10.3324/haematol.2018.206375] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 12/20/2018] [Indexed: 02/06/2023] Open
Abstract
B-cell acute lymphoblastic leukemia is the commonest childhood cancer. In infants, B-cell acute lymphoblastic leukemia remains fatal, especially in patients with t(4;11), present in ~80% of cases. The pathogenesis of t(4;11)/KMT2A-AFF1+ (MLL-AF4+) infant B-cell acute lymphoblastic leukemia remains difficult to model, and the pathogenic contribution in cancer of the reciprocal fusions resulting from derivative translocated-chromosomes remains obscure. Here, “multi-layered” genome-wide analyses and validation were performed on a total of 124 de novo cases of infant B-cell acute lymphoblastic leukemia uniformly diagnosed and treated according to the Interfant 99/06 protocol. These patients showed the most silent mutational landscape reported so far for any sequenced pediatric cancer. Recurrent mutations were exclusively found in K-RAS and N-RAS, were subclonal and were frequently lost at relapse, despite a larger number of non-recurrent/non-silent mutations. Unlike non-MLL-rearranged B-cell acute lymphoblastic leukemias, B-cell receptor repertoire analysis revealed minor, non-expanded B-cell clones in t(4;11)+ infant B-cell acute lymphoblastic leukemia, and RNA-sequencing showed transcriptomic similarities between t(4;11)+ infant B-cell acute lymphoblastic leukemias and the most immature human fetal liver hematopoietic stem and progenitor cells, confirming a “pre-VDJ” fetal cellular origin for both t(4;11) and RASmut. The reciprocal fusion AF4-MLL was expressed in only 45% (19/43) of the t(4;11)+ patients, and HOXA cluster genes are exclusively expressed in AF4-MLL-expressing patients. Importantly, AF4-MLL/HOXA-expressing patients had a significantly better 4-year event-free survival (62.4% vs. 11.7%, P=0.001), and overall survival (73.7 vs. 25.2%, P=0.016). AF4-MLL expression retained its prognostic significance when analyzed in a Cox model adjusting for risk stratification according to the Interfant-06 protocol based on age at diagnosis, white blood cell count and response to prednisone. This study has clinical implications for disease outcome and diagnostic risk-stratification of t(4;11)+ infant B-cell acute lymphoblastic leukemia.
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Affiliation(s)
- Antonio Agraz-Doblas
- Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Universidad de Cantabria-CSIC, Santander, Spain.,Josep Carreras Leukemia Research Institute-Campus Clinic, Department of Biomedicine, School of Medicine, University of Barcelona, Spain
| | - Clara Bueno
- Josep Carreras Leukemia Research Institute-Campus Clinic, Department of Biomedicine, School of Medicine, University of Barcelona, Spain
| | | | - Anindita Roy
- Department of Paediatrics, University of Oxford, UK
| | - Pauline Schneider
- Princess Maxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Michela Bardini
- Centro Ricerca Tettamanti, Department of Pediatrics, University of Milano Bicocca, Fondazione MBBM, Monza, Italy
| | | | - Gianni Cazzaniga
- Centro Ricerca Tettamanti, Department of Pediatrics, University of Milano Bicocca, Fondazione MBBM, Monza, Italy
| | - Thaidy Moreno
- Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Universidad de Cantabria-CSIC, Santander, Spain
| | - Carlos Revilla
- Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Universidad de Cantabria-CSIC, Santander, Spain
| | - Marta Gut
- CNAG-CRG, Center for Genomic Regulation, Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - Maria G Valsecchi
- Interfant Trial Data Center, University of Milano-Bicocca, Monza, Italy
| | - Irene Roberts
- Department of Paediatrics, University of Oxford, UK.,MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, UK
| | - Rob Pieters
- Princess Maxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Paola De Lorenzo
- Interfant Trial Data Center, University of Milano-Bicocca, Monza, Italy
| | - Ignacio Varela
- Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Universidad de Cantabria-CSIC, Santander, Spain
| | - Pablo Menendez
- Josep Carreras Leukemia Research Institute-Campus Clinic, Department of Biomedicine, School of Medicine, University of Barcelona, Spain .,Instituciò Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), ISCIII, Barcelona, Spain
| | - Ronald W Stam
- Princess Maxima Center for Pediatric Oncology, Utrecht, the Netherlands
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28
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Theunissen PMJ, de Bie M, van Zessen D, de Haas V, Stubbs AP, van der Velden VHJ. Next-generation antigen receptor sequencing of paired diagnosis and relapse samples of B-cell acute lymphoblastic leukemia: Clonal evolution and implications for minimal residual disease target selection. Leuk Res 2018; 76:98-104. [PMID: 30389174 DOI: 10.1016/j.leukres.2018.10.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 10/01/2018] [Accepted: 10/18/2018] [Indexed: 11/26/2022]
Abstract
Antigen receptor gene rearrangements are frequently applied as molecular targets for detection of minimal residual disease (MRD) in B-cell precursor acute lymphoblastic leukemia patients. Since such targets may be lost at relapse, appropriate selection of antigen receptor genes as MRD-PCR target is critical. Recently, next-generation sequencing (NGS) - much more sensitive and quantitative than classical PCR-heteroduplex approaches - has been introduced for identification of MRD-PCR targets. We evaluated 42 paired diagnosis-relapse samples by NGS (IGH, IGK, TRG, TRD, and TRB) to evaluate clonal evolution patterns and to design an algorithm for selection of antigen receptor gene rearrangements most likely to remain stable at relapse. Overall, only 393 out of 1446 (27%) clonal rearrangements were stable between diagnosis and relapse. If only index clones with a frequency >5% at diagnosis were taken into account, this number increased to 65%; including only index clones with an absolute read count >10,000, indicating truly major clones, further increased the stability to 84%. Over 90% of index clones at relapse were also present as index clone at diagnosis. Our data provide detailed information about the stability of antigen receptor gene rearrangements, based on which we propose an algorithm for selecting stable MRD-PCR targets, successful in >97% of patients.
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Affiliation(s)
- Prisca M J Theunissen
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Maaike de Bie
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - David van Zessen
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Bioinformatics, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | | | - Andrew P Stubbs
- Department of Bioinformatics, Erasmus MC, University Medical Center Rotterdam, The Netherlands
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29
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Petrova VN, Muir L, McKay PF, Vassiliou GS, Smith KGC, Lyons PA, Russell CA, Anderson CA, Kellam P, Bashford-Rogers RJM. Combined Influence of B-Cell Receptor Rearrangement and Somatic Hypermutation on B-Cell Class-Switch Fate in Health and in Chronic Lymphocytic Leukemia. Front Immunol 2018; 9:1784. [PMID: 30147686 PMCID: PMC6095981 DOI: 10.3389/fimmu.2018.01784] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 07/19/2018] [Indexed: 01/21/2023] Open
Abstract
A diverse B-cell receptor (BCR) repertoire is required to bind a wide range of antigens. BCRs are generated through genetic recombination and can be diversified through somatic hypermutation (SHM) or class-switch recombination (CSR). Patterns of repertoire diversity can vary substantially between different health conditions. We use isotype-resolved BCR sequencing to compare B-cell evolution and class-switch fate in healthy individuals and in patients with chronic lymphocytic leukemia (CLL). We show that the patterns of SHM and CSR in B-cells from healthy individuals are distinct from CLL. We identify distinct properties of clonal expansion that lead to the generation of antibodies of different classes in healthy, malignant, and non-malignant CLL BCR repertoires. We further demonstrate that BCR diversity is affected by relationships between antibody variable and constant regions leading to isotype-specific signatures of variable gene usage. This study provides powerful insights into the mechanisms underlying the evolution of the adaptive immune responses in health and their aberration during disease.
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MESH Headings
- B-Lymphocytes/immunology
- B-Lymphocytes/metabolism
- B-Lymphocytes/pathology
- Gene Rearrangement, B-Lymphocyte
- Humans
- Immunoglobulin Class Switching/genetics
- Immunoglobulin Isotypes/genetics
- Immunoglobulin Joining Region/genetics
- Immunoglobulin Variable Region/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/immunology
- Leukemia, Lymphocytic, Chronic, B-Cell/metabolism
- Leukocytes, Mononuclear/immunology
- Leukocytes, Mononuclear/metabolism
- Leukocytes, Mononuclear/pathology
- Multigene Family
- Receptors, Antigen, B-Cell/genetics
- Somatic Hypermutation, Immunoglobulin
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Affiliation(s)
| | - Luke Muir
- Department of Medicine, Division of Infectious Diseases, Imperial College London, London, United Kingdom
| | - Paul F. McKay
- Department of Medicine, Division of Infectious Diseases, Imperial College London, London, United Kingdom
| | | | | | - Paul A. Lyons
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Colin A. Russell
- Department of Medical Microbiology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | | | - Paul Kellam
- Department of Medicine, Division of Infectious Diseases, Imperial College London, London, United Kingdom
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30
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Maramis C, Gkoufas A, Vardi A, Stalika E, Stamatopoulos K, Hatzidimitriou A, Maglaveras N, Chouvarda I. IRProfiler - a software toolbox for high throughput immune receptor profiling. BMC Bioinformatics 2018; 19:144. [PMID: 29669518 PMCID: PMC5907363 DOI: 10.1186/s12859-018-2144-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 04/03/2018] [Indexed: 12/26/2022] Open
Abstract
Background The study of the huge diversity of immune receptors, often referred to as immune repertoire profiling, is a prerequisite for diagnosis, prognostication and monitoring of hematological disorders. In the era of high-throughput sequencing (HTS), the abundance of immunogenetic data has revealed unprecedented opportunities for the thorough profiling of T-cell receptors (TR) and B-cell receptors (BcR). However, the volume of the data to be analyzed mandates for efficient and ease-to-use immune repertoire profiling software applications. Results This work introduces Immune Repertoire Profiler (IRProfiler), a novel software pipeline that delivers a number of core receptor repertoire quantification and comparison functionalities on high-throughput TR and BcR sequencing data. Adopting 5 alternative clonotype definitions, IRProfiler implements a series of algorithms for 1) data filtering, 2) calculation of clonotype diversity and expression, 3) calculation of gene usage for the V and J subgroups, 4) detection of shared and exclusive clonotypes among multiple repertoires, and 5) comparison of gene usage for V and J subgroups among multiple repertoires. IRProfiler has been implemented as a toolbox of the Galaxy bioinformatics platform, comprising 6 tools. Theoretical and experimental evaluation has shown that the tools of IRProfiler are able to scale well with respect to the size of input dataset(s). IRProfiler has been utilized by a number of recently published studies concerning hematological disorders. Conclusion IRProfiler is made freely available via 3 distribution channels, including the Galaxy Tool Shed. Despite being a new entry in a crowded ecosystem of immune repertoire profiling software, IRProfiler founds its added value on its support for alternative clonotype definitions in conjunction with a combination of properties stemming from its user-centric design, namely ease-of-use, ease-of-access, exploitability of the output data, and analysis flexibility.
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Affiliation(s)
- Christos Maramis
- Lab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece. .,Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
| | - Athanasios Gkoufas
- Lab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.,Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece
| | - Anna Vardi
- Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece
| | - Evangelia Stalika
- Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece
| | - Kostas Stamatopoulos
- Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece
| | | | - Nicos Maglaveras
- Lab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.,Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece
| | - Ioanna Chouvarda
- Lab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.,Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece
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31
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Ding LW, Tan KT, Sun QY, Lao ZT, Yang H, Jiang N, Chien W, Xiao JF, Loh XY, Huang ML, Lill M, Lin DC, Yeoh AEJ, Koeffler HP. Clonality and clonal evolution analysis of paediatric ALL based on B-cell receptor/T-cell receptor rearrangement. Br J Haematol 2018. [PMID: 29532914 DOI: 10.1111/bjh.15179] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Ling-Wen Ding
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Kar-Tong Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Qiao-Yang Sun
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Zhen-Tang Lao
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Haematology, Singapore General Hospital, Singapore
| | - Henry Yang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Nan Jiang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wenwen Chien
- Division of Hematology/Oncology, Cedars-Sinai Medical Center, UCLA School of Medicine, Los Angeles, USA
| | - Jin-Fen Xiao
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Xin-Yi Loh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Mo-Li Huang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Michael Lill
- Division of Hematology/Oncology, Cedars-Sinai Medical Center, UCLA School of Medicine, Los Angeles, USA
| | - De-Chen Lin
- Division of Hematology/Oncology, Cedars-Sinai Medical Center, UCLA School of Medicine, Los Angeles, USA
| | - Allen Eng Juh Yeoh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - H Phillip Koeffler
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Division of Hematology/Oncology, Cedars-Sinai Medical Center, UCLA School of Medicine, Los Angeles, USA
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32
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Abstract
Somatic assembly of T cell receptor and B cell receptor (BCR) genes produces a vast diversity of lymphocyte antigen recognition capacity. The advent of efficient high-throughput sequencing of lymphocyte antigen receptor genes has recently generated unprecedented opportunities for exploration of adaptive immune responses. With these opportunities have come significant challenges in understanding the analysis techniques that most accurately reflect underlying biological phenomena. In this regard, sample preparation and sequence analysis techniques, which have largely been borrowed and adapted from other fields, continue to evolve. Here, we review current methods and challenges of library preparation, sequencing and statistical analysis of lymphocyte receptor repertoire studies. We discuss the general steps in the process of immune repertoire generation including sample preparation, platforms available for sequencing, processing of sequencing data, measurable features of the immune repertoire, and the statistical tools that can be used for analysis and interpretation of the data. Because BCR analysis harbors additional complexities, such as immunoglobulin (Ig) (i.e., antibody) gene somatic hypermutation and class switch recombination, the emphasis of this review is on Ig/BCR sequence analysis.
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Affiliation(s)
- Neha Chaudhary
- Division of Rheumatology, Department of Medicine, Immunology and Allergy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Duane R. Wesemann
- Division of Rheumatology, Department of Medicine, Immunology and Allergy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
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33
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Abstract
The diversity of T and B cells in terms of their receptor sequences is huge in the vertebrate's immune system and provides broad protection against the vast diversity of pathogens. Immune repertoire is defined as the sum of T cell receptors and B cell receptors (also named immunoglobulin) that makes the organism's adaptive immune system. Before the emergence of high-throughput sequencing, the studies on immune repertoire were limited by the underdeveloped methodologies, since it was impossible to capture the whole picture by the low-throughput tools. The massive paralleled sequencing technology suits perfectly the researches on immune repertoire. In this article, we review the history of immune repertoire studies, in terms of technologies and research applications. Particularly, we discuss several aspects of challenges in this field and highlight the efforts to develop potential solutions, in the era of high-throughput sequencing of the immune repertoire.
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Affiliation(s)
- Xiao Liu
- BGI-Shenzhen, Shenzhen, 518083, China.
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34
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Ward C, Rettig TA, Hlavacek S, Bye BA, Pecaut MJ, Chapes SK. Effects of spaceflight on the immunoglobulin repertoire of unimmunized C57BL/6 mice. Life Sci Space Res (Amst) 2018; 16:63-75. [PMID: 29475521 PMCID: PMC5826609 DOI: 10.1016/j.lssr.2017.11.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 11/20/2017] [Accepted: 11/27/2017] [Indexed: 05/25/2023]
Abstract
Spaceflight has been shown to suppress the adaptive immune response, altering the distribution and function of lymphocyte populations. B lymphocytes express highly specific and highly diversified receptors, known as immunoglobulins (Ig), that directly bind and neutralize pathogens. Ig diversity is achieved through the enzymatic splicing of gene segments within the genomic DNA of each B cell in a host. The collection of Ig specificities within a host, or Ig repertoire, has been increasingly characterized in both basic research and clinical settings using high-throughput sequencing technology (HTS). We utilized HTS to test the hypothesis that spaceflight affects the B-cell repertoire. To test this hypothesis, we characterized the impact of spaceflight on the unimmunized Ig repertoire of C57BL/6 mice that were flown aboard the International Space Station (ISS) during the Rodent Research One validation flight in comparison to ground controls. Individual gene segment usage was similar between ground control and flight animals, however, gene segment combinations and the junctions in which gene segments combine was varied among animals within and between treatment groups. We also found that spontaneous somatic mutations in the IgH and Igκ gene loci were not increased. These data suggest that space flight did not affect the B cell repertoire of mice flown and housed on the ISS over a short period of time.
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Affiliation(s)
- Claire Ward
- Division of Biology, Kansas State University, 1717 Claflin Rd, 116 Ackert Hall, Manhattan, KS 66502, United States
| | - Trisha A Rettig
- Division of Biology, Kansas State University, 1717 Claflin Rd, 116 Ackert Hall, Manhattan, KS 66502, United States
| | - Savannah Hlavacek
- Division of Biology, Kansas State University, 1717 Claflin Rd, 116 Ackert Hall, Manhattan, KS 66502, United States
| | - Bailey A Bye
- Division of Biology, Kansas State University, 1717 Claflin Rd, 116 Ackert Hall, Manhattan, KS 66502, United States
| | - Michael J Pecaut
- Department of Basic Sciences, Division of Radiation Research, Loma Linda University, 11021 Campus St. Rm 101, Loma Linda, CA 92350, United States
| | - Stephen K Chapes
- Division of Biology, Kansas State University, 1717 Claflin Rd, 116 Ackert Hall, Manhattan, KS 66502, United States.
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35
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Jensen-Jarolim E, Bax HJ, Bianchini R, Crescioli S, Daniels-Wells TR, Dombrowicz D, Fiebiger E, Gould HJ, Irshad S, Janda J, Josephs DH, Levi-Schaffer F, O'Mahony L, Pellizzari G, Penichet ML, Redegeld F, Roth-Walter F, Singer J, Untersmayr E, Vangelista L, Karagiannis SN. AllergoOncology: Opposite outcomes of immune tolerance in allergy and cancer. Allergy 2018; 73:328-340. [PMID: 28921585 PMCID: PMC6038916 DOI: 10.1111/all.13311] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2017] [Indexed: 12/11/2022]
Abstract
While desired for the cure of allergy, regulatory immune cell subsets and nonclassical Th2-biased inflammatory mediators in the tumour microenvironment can contribute to immune suppression and escape of tumours from immunological detection and clearance. A key aim in the cancer field is therefore to design interventions that can break immunological tolerance and halt cancer progression, whereas on the contrary allergen immunotherapy exactly aims to induce tolerance. In this position paper, we review insights on immune tolerance derived from allergy and from cancer inflammation, focusing on what is known about the roles of key immune cells and mediators. We propose that research in the field of AllergoOncology that aims to delineate these immunological mechanisms with juxtaposed clinical consequences in allergy and cancer may point to novel avenues for therapeutic interventions that stand to benefit both disciplines.
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Affiliation(s)
- E Jensen-Jarolim
- The Interuniversity Messerli Research Institute, University of Veterinary Medicine Vienna, Medical University Vienna, University Vienna, Vienna, Austria
- Centre of Pathophysiology, Infectiology & Immunology, Institute of Pathophysiology & Allergy Research, Medical University Vienna, Vienna, Austria
| | - H J Bax
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
- School of Cancer & Pharmaceutical Sciences, King's College London, Guy's Hospital, London, UK
| | - R Bianchini
- The Interuniversity Messerli Research Institute, University of Veterinary Medicine Vienna, Medical University Vienna, University Vienna, Vienna, Austria
| | - S Crescioli
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
| | - T R Daniels-Wells
- Division of Surgical Oncology, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - D Dombrowicz
- INSERM, CHU Lille, European Genomic Institute of Diabetes, Institut Pasteur de Lille, U1011 - Recepteurs Nucleaires, Maladies Cardiovasculaires et Diabete, Universite de Lille, Lille, France
| | - E Fiebiger
- Division of Gastroenterology, Hepatology and Nutrition Research, Department Medicine Research, Childrens' University Hospital Boston, Boston, MA, USA
| | - H J Gould
- Randall Division of Cell and Molecular Biophysics, King's College London, London, UK
| | - S Irshad
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
- Breast Cancer Now Unit, School of Cancer & Pharmaceutical Sciences, King's College London, Guy's Cancer Centre, London, UK
| | - J Janda
- Faculty of Science, Charles University, Prague, Czech Republic
| | - D H Josephs
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
- School of Cancer & Pharmaceutical Sciences, King's College London, Guy's Hospital, London, UK
| | - F Levi-Schaffer
- Faculty of Medicine, Pharmacology and Experimental Therapeutics Unit, The Institute for Drug Research, School of Pharmacy, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - L O'Mahony
- Molecular Immunology, Swiss Institute of Allergy and Asthma Research, Davos, Switzerland
| | - G Pellizzari
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
- School of Cancer & Pharmaceutical Sciences, King's College London, Guy's Hospital, London, UK
| | - M L Penichet
- Division of Surgical Oncology, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Department of Microbiology, Immunology and Molecular Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, CA, USA
| | - F Redegeld
- Faculty of Science, Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - F Roth-Walter
- The Interuniversity Messerli Research Institute, University of Veterinary Medicine Vienna, Medical University Vienna, University Vienna, Vienna, Austria
- Centre of Pathophysiology, Infectiology & Immunology, Institute of Pathophysiology & Allergy Research, Medical University Vienna, Vienna, Austria
| | - J Singer
- Centre of Pathophysiology, Infectiology & Immunology, Institute of Pathophysiology & Allergy Research, Medical University Vienna, Vienna, Austria
| | - E Untersmayr
- Centre of Pathophysiology, Infectiology & Immunology, Institute of Pathophysiology & Allergy Research, Medical University Vienna, Vienna, Austria
| | - L Vangelista
- Department of Biomedical Sciences, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - S N Karagiannis
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
- Breast Cancer Now Unit, School of Cancer & Pharmaceutical Sciences, King's College London, Guy's Cancer Centre, London, UK
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Rettig TA, Ward C, Bye BA, Pecaut MJ, Chapes SK. Characterization of the naive murine antibody repertoire using unamplified high-throughput sequencing. PLoS One 2018; 13:e0190982. [PMID: 29320559 DOI: 10.1371/journal.pone.0190982] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 12/22/2017] [Indexed: 12/22/2022] Open
Abstract
Antibody specificity and diversity are generated through the enzymatic splicing of genomic gene segments within each B cell. Antibodies are heterodimers of heavy- and light-chains encoded on separate loci. We studied the antibody repertoire from pooled, splenic tissue of unimmunized, adult female C57BL/6J mice, using high-throughput sequencing (HTS) without amplification of antibody transcripts. We recovered over 90,000 heavy-chain and over 135,000 light-chain immunoglobulin sequences. Individual V-, D-, and J-gene segment usage was uniform among the three mouse pools, particularly in highly abundant gene segments, with low frequency V-gene segments not being detected in all pools. Despite the similar usage of individual gene segments, the repertoire of individual B-cell CDR3 amino acid sequences in each mouse pool was highly varied, affirming the combinatorial diversity in the B-cell pool that has been previously demonstrated. There also was some skewing in the V-gene segments that were detected depending on chromosomal location. This study presents a unique, non-primer biased glimpse of the conventionally housed, unimmunized antibody repertoire of the C57BL6/J mouse.
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Bartram J, Goulden N, Wright G, Adams S, Brooks T, Edwards D, Inglott S, Yousafzai Y, Hubank M, Halsey C. High throughput sequencing in acute lymphoblastic leukemia reveals clonal architecture of central nervous system and bone marrow compartments. Haematologica 2017; 103:e110-e114. [PMID: 29217777 DOI: 10.3324/haematol.2017.174987] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Jack Bartram
- Department of Haematology, Great Ormond Street Hospital for Children, London .,Cancer Section, Institute of Child Health, University College London
| | - Nick Goulden
- Department of Haematology, Great Ormond Street Hospital for Children, London.,Trapehade, Monferran-Plavès, France
| | - Gary Wright
- Department of Haematology, Great Ormond Street Hospital for Children, London
| | - Stuart Adams
- Cancer Section, Institute of Child Health, University College London
| | - Tony Brooks
- Cancer Section, Institute of Child Health, University College London
| | - Darren Edwards
- Cancer Section, Institute of Child Health, University College London
| | - Sarah Inglott
- Department of Haematology, Great Ormond Street Hospital for Children, London
| | - Yasar Yousafzai
- Institute of Cancer Sciences, University of Glasgow, Sutton, UK
| | - Mike Hubank
- Centre for Molecular Pathology, The Royal Marsden, Sutton, UK
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38
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Yu J, Antić Ž, van Reijmersdal SV, Hoischen A, Sonneveld E, Waanders E, Kuiper RP. Accurate detection of low-level mosaic mutations in pediatric acute lymphoblastic leukemia using single molecule tagging and deep-sequencing. Leuk Lymphoma 2017; 59:1690-1699. [PMID: 29058513 DOI: 10.1080/10428194.2017.1390232] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Pathogenic mutations in relapse-associated genes in pediatric acute lymphoblastic leukemia may improve risk stratification when detected at subclonal levels at primary diagnosis. However, to detect subclonal mutations upfront, a deep-sequencing approach with high specificity and sensitivity is required. Here, we performed a proof-of-principle study to detect low-level mosaic RAS pathway mutations by deep sequencing using random tagging-based single molecule Molecular Inversion Probes (smMIPs). The smMIP-based approach could sensitively detect variants with allele frequency as low as 0.4%, which could all be confirmed by other techniques. In comparison, with standard deep-sequencing techniques we reached a detection threshold of only 2.5%, which hampered detection of seven low-level mosaic mutations representing 24% of all detected mutations. We conclude that smMIP-based deep-sequencing outperforms standard deep-sequencing techniques by showing lower background noise and high specificity, and is the preferred technology for detecting mutations upfront, particularly in genes in which mutations show limited clustering in hotspots.
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Affiliation(s)
- Jiangyan Yu
- a Princess Máxima Center for Pediatric Oncology , Utrecht , The Netherlands.,b Department of Human Genetics , Radboud University Medical Center and Radboud Institute for Molecular Life Sciences , Nijmegen , The Netherlands
| | - Željko Antić
- a Princess Máxima Center for Pediatric Oncology , Utrecht , The Netherlands
| | - Simon V van Reijmersdal
- a Princess Máxima Center for Pediatric Oncology , Utrecht , The Netherlands.,b Department of Human Genetics , Radboud University Medical Center and Radboud Institute for Molecular Life Sciences , Nijmegen , The Netherlands
| | - Alexander Hoischen
- b Department of Human Genetics , Radboud University Medical Center and Radboud Institute for Molecular Life Sciences , Nijmegen , The Netherlands.,c Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI) , Radboud University Medical Center , Nijmegen , The Netherlands
| | - Edwin Sonneveld
- d Dutch Childhood Oncology Group , The Hague , The Netherlands
| | - Esmé Waanders
- a Princess Máxima Center for Pediatric Oncology , Utrecht , The Netherlands
| | - Roland P Kuiper
- a Princess Máxima Center for Pediatric Oncology , Utrecht , The Netherlands
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Wu J, Jia S, Wang C, Zhang W, Liu S, Zeng X, Mai H, Yuan X, Du Y, Wang X, Hong X, Li X, Wen F, Xu X, Pan J, Li C, Liu X. Minimal Residual Disease Detection and Evolved IGH Clones Analysis in Acute B Lymphoblastic Leukemia Using IGH Deep Sequencing. Front Immunol 2016; 7:403. [PMID: 27757113 PMCID: PMC5048610 DOI: 10.3389/fimmu.2016.00403] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 09/21/2016] [Indexed: 12/16/2022] Open
Abstract
Acute B lymphoblastic leukemia (B-ALL) is one of the most common types of childhood cancer worldwide and chemotherapy is the main treatment approach. Despite good response rates to chemotherapy regiments, many patients eventually relapse and minimal residual disease (MRD) is the leading risk factor for relapse. The evolution of leukemic clones during disease development and treatment may have clinical significance. In this study, we performed immunoglobulin heavy chain (IGH) repertoire high throughput sequencing (HTS) on the diagnostic and post-treatment samples of 51 pediatric B-ALL patients. We identified leukemic IGH clones in 92.2% of the diagnostic samples and nearly half of the patients were polyclonal. About one-third of the leukemic clones have correct open reading frame in the complementarity determining region 3 (CDR3) of IGH, which demonstrates that the leukemic B cells were in the early developmental stage. We also demonstrated the higher sensitivity of HTS in MRD detection and investigated the clinical value of using peripheral blood in MRD detection and monitoring the clonal IGH evolution. In addition, we found leukemic clones were extensively undergoing continuous clonal IGH evolution by variable gene replacement. Dynamic frequency change and newly emerged evolved IGH clones were identified upon the pressure of chemotherapy. In summary, we confirmed the high sensitivity and universal applicability of HTS in MRD detection. We also reported the ubiquitous evolved IGH clones in B-ALL samples and their response to chemotherapy during treatment.
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Affiliation(s)
- Jinghua Wu
- BGI-Shenzhen, Shenzhen, China; China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Shan Jia
- Hematology and Oncology Department, Shenzhen Children's Hospital , Shenzhen , China
| | - Changxi Wang
- BGI-Shenzhen, Shenzhen, China; China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Wei Zhang
- BGI-Shenzhen, Shenzhen, China; China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Sixi Liu
- Hematology and Oncology Department, Shenzhen Children's Hospital , Shenzhen , China
| | - Xiaojing Zeng
- BGI-Shenzhen, Shenzhen, China; China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Huirong Mai
- Hematology and Oncology Department, Shenzhen Children's Hospital , Shenzhen , China
| | - Xiuli Yuan
- Hematology and Oncology Department, Shenzhen Children's Hospital , Shenzhen , China
| | - Yuanping Du
- BGI-Shenzhen, Shenzhen, China; China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Xiaodong Wang
- Hematology and Oncology Department, Shenzhen Children's Hospital , Shenzhen , China
| | - Xueyu Hong
- BGI-Shenzhen, Shenzhen, China; China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Xuemei Li
- BGI-Shenzhen, Shenzhen, China; China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Feiqiu Wen
- Hematology and Oncology Department, Shenzhen Children's Hospital , Shenzhen , China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, China; China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | | | - Changgang Li
- Hematology and Oncology Department, Shenzhen Children's Hospital , Shenzhen , China
| | - Xiao Liu
- BGI-Shenzhen, Shenzhen, China; China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China; Department of Biology, University of Copenhagen, Copenhagen, Denmark
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