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Cirrincione AM, Poos AM, Ziccheddu B, Kaddoura M, Bärtsch MA, Maclachlan K, Chojnacka M, Diamond B, John L, Reichert P, Huhn S, Blaney P, Gagler D, Rippe K, Zhang Y, Dogan A, Lesokhin AM, Davies F, Goldschmidt H, Fenk R, Weisel KC, Mai EK, Korde N, Morgan GJ, Usmani S, Landgren O, Raab MS, Weinhold N, Maura F. The biological and clinical impact of deletions before and after large chromosomal gains in multiple myeloma. Blood 2024; 144:771-783. [PMID: 38728430 DOI: 10.1182/blood.2024024299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 04/16/2024] [Accepted: 05/01/2024] [Indexed: 05/12/2024] Open
Abstract
ABSTRACT Acquisition of a hyperdiploid (HY) karyotype or immunoglobulin heavy chain (IgH) translocations are considered key initiating events in multiple myeloma (MM). To explore if other genomic events can precede these events, we analyzed whole-genome sequencing data from 1173 MM samples. By integrating molecular time and structural variants within early chromosomal duplications, we indeed identified pregain deletions in 9.4% of patients with an HY karyotype without IgH translocations, challenging acquisition of an HY karyotype as the earliest somatic event. Remarkably, these deletions affected tumor suppressor genes (TSGs) and/or oncogenes in 2.4% of patients with an HY karyotype without IgH translocations, supporting their role in MM pathogenesis. Furthermore, our study points to postgain deletions as novel driver mechanisms in MM. Using multiomics approaches to investigate their biologic impact, we found associations with poor clinical outcome in newly diagnosed patients and profound effects on both the oncogene and TSG activity despite the diploid gene status. Overall, this study provides novel insights into the temporal dynamics of genomic alterations in MM.
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Affiliation(s)
- Anthony M Cirrincione
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Alexandra M Poos
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Bachisio Ziccheddu
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Marcella Kaddoura
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Marc-Andrea Bärtsch
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Kylee Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Monika Chojnacka
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Benjamin Diamond
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Lukas John
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Philipp Reichert
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Stefanie Huhn
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Patrick Blaney
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Dylan Gagler
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Karsten Rippe
- Division of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany
| | - Yanming Zhang
- Cytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ahmet Dogan
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alexander M Lesokhin
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Faith Davies
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Roland Fenk
- Department of Hematology, Oncology and Clinical Immunology, University-Hospital Duesseldorf, Duesseldorf, Germany
| | - Katja C Weisel
- Department of Oncology, Hematology, and Blood and Marrow Transplant, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Elias K Mai
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Neha Korde
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Gareth J Morgan
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Saad Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ola Landgren
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Marc S Raab
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Niels Weinhold
- Heidelberg Myeloma Center, Department of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Francesco Maura
- Myeloma Division, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
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Liu J, Zhang K, Zhang X, Guan F, Zeng H, Kubo M, Lee P, Candotti F, James LK, Camara NOS, Benlagha K, Lei J, Forsman H, Yang L, Xiao W, Liu Z, Liu C. Immunoglobulin class-switch recombination: Mechanism, regulation, and related diseases. MedComm (Beijing) 2024; 5:e662. [PMID: 39144468 PMCID: PMC11322596 DOI: 10.1002/mco2.662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/30/2024] [Accepted: 06/30/2024] [Indexed: 08/16/2024] Open
Abstract
Maturation of the secondary antibody repertoire requires class-switch recombination (CSR), which switches IgM to other immunoglobulins (Igs), and somatic hypermutation, which promotes the production of high-affinity antibodies. Following immune response or infection within the body, activation of T cell-dependent and T cell-independent antigens triggers the activation of activation-induced cytidine deaminase, initiating the CSR process. CSR has the capacity to modify the functional properties of antibodies, thereby contributing to the adaptive immune response in the organism. Ig CSR defects, characterized by an abnormal relative frequency of Ig isotypes, represent a rare form of primary immunodeficiency. Elucidating the molecular basis of Ig diversification is essential for a better understanding of diseases related to Ig CSR defects and could provide clues for clinical diagnosis and therapeutic approaches. Here, we review the most recent insights on the diversification of five Ig isotypes and choose several classic diseases, including hyper-IgM syndrome, Waldenström macroglobulinemia, hyper-IgD syndrome, selective IgA deficiency, hyper-IgE syndrome, multiple myeloma, and Burkitt lymphoma, to illustrate the mechanism of Ig CSR deficiency. The investigation into the underlying mechanism of Ig CSR holds significant potential for the advancement of increasingly precise diagnostic and therapeutic approaches.
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Affiliation(s)
- Jia‐Chen Liu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Ke Zhang
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Xu Zhang
- Department of RespiratoryThe First Affiliated Hospital of Yangtze UniversityJingzhouChina
| | - Fei Guan
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Hu Zeng
- Department of ImmunologyMayo Clinic College of Medicine and ScienceRochesterUSA
| | - Masato Kubo
- Laboratory for Cytokine Regulation, Center for Integrative Medical Science (IMS), RIKEN Yokohama InstituteYokohamaJapan
| | - Pamela Lee
- Department of Paediatrics and Adolescent MedicineLKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - Fabio Candotti
- Division of Immunology and AllergyLausanne University Hospital and University of LausanneLausanneSwitzerland
| | | | | | - Kamel Benlagha
- Institut de Recherche Saint‐LouisUniversité de ParisParisFrance
| | - Jia‐Hui Lei
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Huamei Forsman
- Department of Rheumatology and Inflammation ResearchInstitute of Medicine, Sahlgrenska Academy, University of GothenburgGothenburgSweden
| | - Lu Yang
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Wei Xiao
- Department of RespiratoryThe First Affiliated Hospital of Yangtze UniversityJingzhouChina
| | - Zheng Liu
- Department of Otolaryngology‐Head and Neck SurgeryTongji Hospital, Tongji Medical College, HuazhongUniversity of Science and TechnologyWuhanChina
| | - Chao‐Hong Liu
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
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3
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Testa U, Pelosi E, Castelli G, Leone G. Recent Advances in The Definition of the Molecular Alterations Occurring in Multiple Myeloma. Mediterr J Hematol Infect Dis 2024; 16:e2024062. [PMID: 38984097 PMCID: PMC11232684 DOI: 10.4084/mjhid.2024.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 06/19/2024] [Indexed: 07/11/2024] Open
Abstract
Multiple myeloma (MM) is a disorder of the monoclonal plasma cells and is the second most common hematologic malignancy. MM initiation and progression are dependent upon complex genomic abnormalities. The current pathogenic model of MM includes two types of primary events, represented by chromosome translocations or chromosome number alterations resulting in hyperdiploidy. These primary molecular events are observed both in MM and in monoclonal gammopathy, its premalignant precursor. Subsequent genetic events allow the progression of monoclonal gammopathy to MM and, together with primary events, contribute to the genetic complexity and heterogeneity of MM. Newer therapies have considerably improved patient outcomes; however, MM remains an incurable disease and most patients experience multiple relapses. The dramatic progresses achieved in the analysis of the heterogeneous molecular features of different MM patients allowed a comprehensive molecular classification of MM and the definition of an individualized prognostic model to predict an individual MM patient's response to different therapeutic options. Despite these progresses, prognostic models fail to identify a significant proportion of patients destined to early relapse. Treatment strategies are increasingly. Based on disease biology, trials are enriched for high-risk MMs, whose careful definition and categorization requires DNA sequencing studies.
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Affiliation(s)
- Ugo Testa
- Istituto Superiore di Sanità, Roma, Italy
| | | | | | - Giuseppe Leone
- Department of Radiological and Hematological Sciences, Catholic University, Rome, Italy
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4
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Rivera Troia F, Ocasio Villa FJ. An Unusual Increase in the CD38 Marker Observed in a Multiple Myeloma Patient With t(11;14) Translocation: A Case Report. Cureus 2024; 16:e63563. [PMID: 39087203 PMCID: PMC11289740 DOI: 10.7759/cureus.63563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2024] [Indexed: 08/02/2024] Open
Abstract
Multiple myeloma (MM) is one of the world's most recognized bone marrow (BM) cancers. It is considered a plasma cell dyscrasia in which normal plasma cells transform into malignant cells that produce large quantities of an abnormal immunoglobulin called monoclonal protein better known as M protein. This, in turn, is responsible for many of its bone and kidney-related manifestations. Many translocations are associated with the disease, such as t(11;14), t(4;14), and t(14;16). Of these, the most common is t(11;14). In this subset of MM, there is a specific genetic alteration affecting the CCND1 gene. Typically inactive in plasma cells, this gene, when disrupted, promotes uncontrolled cell proliferation. Simultaneously, there is a reduction in CD38 levels, a protein typically elevated in MM patients. This combination of genetic and protein expression is a defining feature of this subgroup within the MM spectrum. In this report, we present a case of a 75-year-old male who was referred by an oncologist for comprehensive diagnostic testing. He was found to have significant hyperploidy involving trisomy 9 and an extra copy of CCND1 with concomitant trisomy 11q confirming a t(11;14) translocation. Further workup involving cytology revealed that the patient also expressed elevated levels of CD38, which, given this mutation, would be expected to be low in this patient population. We aim to highlight the importance and prognostic value of this mutation and further add to the already growing body of literature associated with this disease.
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Affiliation(s)
- Felix Rivera Troia
- Surgery, University of Medicine & Health Science, Mayaguez, PRI
- Genetics, Ponce Health Sciences University, Ponce, PRI
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5
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Leeman-Neill RJ, Bhagat G, Basu U. AID in non-Hodgkin B-cell lymphomas: The consequences of on- and off-target activity. Adv Immunol 2024; 161:127-164. [PMID: 38763700 DOI: 10.1016/bs.ai.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
Activation induced cytidine deaminase (AID) is a key element of the adaptive immune system, required for immunoglobulin isotype switching and affinity maturation of B-cells as they undergo the germinal center (GC) reaction in peripheral lymphoid tissue. The inherent DNA damaging activity of this enzyme can also have off-target effects in B-cells, producing lymphomagenic chromosomal translocations that are characteristic features of various classes of non-Hodgkin B-cell lymphoma (B-NHL), and generating oncogenic mutations, so-called aberrant somatic hypermutation (aSHM). Additionally, AID has been found to affect gene expression through demethylation as well as altered interactions between gene regulatory elements. These changes have been most thoroughly studied in B-NHL arising from GC B-cells. Here, we describe the most common classes of GC-derived B-NHL and explore the consequences of on- and off-target AID activity in B and plasma cell neoplasms. The relationships between AID expression, including effects of infection and other exposures/agents, mutagenic activity and lymphoma biology are also discussed.
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Affiliation(s)
- Rebecca J Leeman-Neill
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States; Department of Microbiology and Immunology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States.
| | - Govind Bhagat
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States
| | - Uttiya Basu
- Department of Microbiology and Immunology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States
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6
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Clarke SE, Fuller KA, Erber WN. Chromosomal defects in multiple myeloma. Blood Rev 2024; 64:101168. [PMID: 38212176 DOI: 10.1016/j.blre.2024.101168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/01/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024]
Abstract
Multiple myeloma is a plasma cell neoplasm driven by primary (e.g. hyperdiploidy; IGH translocations) and secondary (e.g. 1q21 gains/amplifications; del(17p); MYC translocations) chromosomal events. These are important to detect as they influence prognosis, therapeutic response and disease survival. Currently, cytogenetic testing is most commonly performed by interphase fluorescence in situ hybridisation (FISH) on aspirated bone marrow samples. A number of variations to FISH methodology are available, including prior plasma cell enrichment and incorporation of immunophenotypic plasma cell identification. Other molecular methods are increasingly being utilised to provide a genome-wide view at high resolution (e.g. single nucleotide polymorphism (SNP) microarray analysis) and these can detect abnormalities in most cases. Despite their wide application at diagnostic assessment, both FISH and SNP-array have relatively low sensitivity, limiting their use for identification of prognostically significant low-level sub-clones or for disease monitoring. Next-generation sequencing is increasingly being used to detect mutations and new FISH techniques such as by flow cytometry are in development and may address some of the current test limitations. Here we review the primary and secondary cytogenetic aberrations in myeloma and discuss the range of techniques available for their assessment.
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Affiliation(s)
- Sarah E Clarke
- School of Biomedical Sciences, The University of Western Australia (M504), Crawley, WA 6009, Australia; Department of Haematology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA 6150, Australia.
| | - Kathryn A Fuller
- School of Biomedical Sciences, The University of Western Australia (M504), Crawley, WA 6009, Australia.
| | - Wendy N Erber
- School of Biomedical Sciences, The University of Western Australia (M504), Crawley, WA 6009, Australia; PathWest Laboratory Medicine WA, Royal Perth Hospital, Perth, WA 6000, Australia.
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7
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Bravo-Perez C, Gurnari C. A tower of babel of acronyms? The shadowlands of MGUS/MBL/CHIP/TCUS. Semin Hematol 2024; 61:43-50. [PMID: 38350765 DOI: 10.1053/j.seminhematol.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/18/2023] [Accepted: 01/02/2024] [Indexed: 02/15/2024]
Abstract
With the advent of outperforming and massive laboratory tools, such as multiparameter flow cytometry and next-generation sequencing, hematopoietic cell clones with putative abnormalities for a variety of blood malignancies have been appreciated in otherwise healthy individuals. These conditions do not fulfill the criteria of their presumed cancer counterparts, and thus have been recognized as their precursor states. This is the case of monoclonal gammopathy of unknown significance (MGUS), the first blood premalignancy state described, preceding multiple myeloma (MM) or Waldenström macroglobulinemia (WM). However, in the last 2 decades, an increasing list of clonopathies has been recognized, including monoclonal B cell lymphocytosis (MBL), which antecedes chronic lymphocytic leukemia (CLL), clonal hematopoiesis of indeterminate potential (CHIP) for myeloid neoplasms (MN), and T-cell clones of uncertain significance (TCUS) for T-cell large chronic lymphocytic leukemia (LGLL). While for some of these entities diagnostic boundaries are precisely set, for others these are yet to be fully defined. Moreover, despite mostly considered of "uncertain significance," they have not only appeared to predispose to malignancy, but also to be capable of provoking set of immunological and cardiovascular complications that may require specialized management. The clinical implications of the aberrant clones, together with the extensive knowledge generated on the pathogenetic events driving their evolution, raises the question whether earlier interventions may alter the natural history of the disease. Herein, we review this Tower of Babel of acronyms pinpointing diagnostic definitions, differential diagnosis, and the role of genomic profiling of these precursor states, as well as potential interventional strategies.
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Affiliation(s)
- Carlos Bravo-Perez
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH; Department of Hematology and Medical Oncology, Hospital Universitario Morales Meseguer, University of Murcia, IMIB-Pascual Parrilla, CIBERER - Instituto de Salud Carlos III, Murcia, Spain
| | - Carmelo Gurnari
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH; Department of Biomedicine and Prevention, PhD in Immunology, Molecular Medicine and Applied Biotechnology, University of Rome Tor Vergata, Rome, Italy.
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Katsarou A, Trasanidis N, Ponnusamy K, Kostopoulos IV, Alvarez-Benayas J, Papaleonidopoulou F, Keren K, Sabbattini PMR, Feldhahn N, Papaioannou M, Hatjiharissi E, Sudbery IM, Chaidos A, Caputo VS, Karadimitris A. MAF functions as a pioneer transcription factor that initiates and sustains myelomagenesis. Blood Adv 2023; 7:6395-6410. [PMID: 37224458 PMCID: PMC10598502 DOI: 10.1182/bloodadvances.2023009772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/17/2023] [Accepted: 05/05/2023] [Indexed: 05/26/2023] Open
Abstract
Deregulated expression of lineage-affiliated transcription factors (TFs) is a major mechanism of oncogenesis. However, how the deregulation of nonlineage affiliated TF affects chromatin to initiate oncogenic transcriptional programs is not well-known. To address this, we studied the chromatin effects imposed by oncogenic MAF as the cancer-initiating driver in the plasma cell cancer multiple myeloma. We found that the ectopically expressed MAF endows myeloma plasma cells with migratory and proliferative transcriptional potential. This potential is regulated by the activation of enhancers and superenhancers, previously inactive in healthy B cells and plasma cells, and the cooperation of MAF with the plasma cell-defining TF IRF4. Forced ectopic MAF expression confirms the de novo ability of oncogenic MAF to convert transcriptionally inert chromatin to active chromatin with the features of superenhancers, leading to the activation of the MAF-specific oncogenic transcriptome and the acquisition of cancer-related cellular phenotypes such as CCR1-dependent cell migration. These findings establish oncogenic MAF as a pioneer transcription factor that can initiate as well as sustain oncogenic transcriptomes and cancer phenotypes. However, despite its pioneer function, myeloma cells remain MAF-dependent, thus validating oncogenic MAF as a therapeutic target that would be able to circumvent the challenges of subsequent genetic diversification driving disease relapse and drug resistance.
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Affiliation(s)
- Alexia Katsarou
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Nikolaos Trasanidis
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
| | - Kanagaraju Ponnusamy
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
| | - Ioannis V. Kostopoulos
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
- Department of Biology, School of Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Jaime Alvarez-Benayas
- Department of the Higher School of Computer Science, Nebrija ARIES Research Group, Universidad Antonio de Nebrija, Madrid, Spain
| | - Foteini Papaleonidopoulou
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
| | - Keren Keren
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
| | - Pierangela M. R. Sabbattini
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
| | - Niklas Feldhahn
- Centre for Haematology, Imperial College London, London, United Kingdom
| | - Maria Papaioannou
- Division of Haematology, First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Evdoxia Hatjiharissi
- Division of Haematology, First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ian M. Sudbery
- School of Biosciences, University of Sheffield, Sheffield, United Kingdom
| | - Aristeidis Chaidos
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare National Health Service Trust, London, United Kingdom
| | - Valentina S. Caputo
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
- Cancer Biology and Therapy laboratory, School of Applied Science, London South Bank University, London, United Kingdom
| | - Anastasios Karadimitris
- Department of Immunology and Inflammation, Hugh & Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare National Health Service Trust, London, United Kingdom
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9
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Giguère A, Raymond-Bouchard I, Collin V, Claveau JS, Hébert J, LeBlanc R. Optical Genome Mapping Reveals the Complex Genetic Landscape of Myeloma. Cancers (Basel) 2023; 15:4687. [PMID: 37835381 PMCID: PMC10571866 DOI: 10.3390/cancers15194687] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 10/15/2023] Open
Abstract
Fluorescence in situ hybridization (FISH) on enriched CD138 plasma cells is the standard method for identification of clinically relevant genetic abnormalities in multiple myeloma. However, FISH is a targeted analysis that can be challenging due to the genetic complexity of myeloma. The aim of this study was to evaluate the potential of optical genome mapping (OGM) to detect clinically significant cytogenetic abnormalities in myeloma and to provide larger pangenomic information. OGM and FISH analyses were performed on CD138-purified cells of 20 myeloma patients. OGM successfully detected structural variants (SVs) (IGH and MYC rearrangements), copy number variants (CNVs) (17p/TP53 deletion, 1p deletion and 1q gain/amplification) and aneuploidy (gains of odd-numbered chromosomes, monosomy 13) classically expected with myeloma and led to a 30% increase in prognosis yield at our institution when compared to FISH. Despite challenges in the interpretation of OGM calls for CNV and aneuploidy losses in non-diploid genomes, OGM has the potential to replace FISH as the standard of care analysis in clinical settings and to efficiently change how we identify prognostic and predictive markers for therapies in the future. To our knowledge, this is the first study highlighting the feasibility and clinical utility of OGM in myeloma.
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Affiliation(s)
- Amélie Giguère
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Isabelle Raymond-Bouchard
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Vanessa Collin
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Jean-Sébastien Claveau
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
| | - Josée Hébert
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
| | - Richard LeBlanc
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
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10
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Lim KJC, Wellard C, Talaulikar D, Tan JLC, Loh J, Puvanakumar P, Kuzich JA, Ho M, Murphy M, Zeglinas N, Low MSY, Routledge D, Lim ABM, Gibbs SD, Quach H, Morgan S, Moore E, Ninkovic S. The prognostic impact of t(11;14) in multiple myeloma: A real-world analysis from the Australian Lymphoma Leukaemia Group (ALLG) and the Australian Myeloma and Related Diseases Registry (MRDR). EJHAEM 2023; 4:639-646. [PMID: 37601874 PMCID: PMC10435683 DOI: 10.1002/jha2.742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 06/05/2023] [Accepted: 06/13/2023] [Indexed: 08/22/2023]
Abstract
The prognostic impact of t(11;14) in multiple myeloma (MM) needs to be better understood to inform future treatment decisions. The Australian Lymphoma Leukaemia Group embarked on a retrospective, observational cohort study using real-world data to interrogate treatment patterns and outcomes in 74 MM patients with t(11;14) [t(11;14)-MM] diagnosed over 10 years. This was compared to 159 and 111 MM patients with high-risk IgH translocations (IgH HR-MM) and hyperdiploidy (Hyperdiploid-MM), respectively, from the Australian Myeloma and Related Diseases Registry. No appreciable differences in age, gender, ISS, LDH levels, 1q21 or del(17p) status, or treatment patterns were observed between groups. Median PFS-1 was not different between groups but both t(11;14)-MM and IgH HR-MM had an inferior PFS-2 vs. Hyperdiploid-MM: median PFS-2 8.2 months, 10.0 months, and 19.8 months (p = 0.002), respectively. The 3-year OS were 69%, 71%, and 82% (p = 0.026), respectively. In the t(11;14)-MM group, gain or amplification of 1q21 at diagnosis predicted for poorer OS (HR 3.46, p = 0.002). Eleven patients had received venetoclax with 45% achieving better than a very good partial response. Results suggest that t(11;14) MM may confer an unfavorable risk profile and that the use of targeted therapies such as venetoclax earlier in the treatment algorithm should be explored.
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Affiliation(s)
- Kenneth JC Lim
- Department of HaematologySt Vincent's Hospital MelbourneMelbourneAustralia
- Victorian Cancer Cytogenetics ServiceSt. Vincent's Hospital MelbourneMelbourneAustralia
| | - Cameron Wellard
- School of Public Health and Preventive MedicineMonash UniversityMelbourneAustralia
| | - Dipti Talaulikar
- Department of HaematologyThe Canberra HospitalCanberraAustralia
- Department of MedicineThe Australian National UniversityCanberraAustralia
| | - Joanne LC Tan
- Department of HaematologyThe Alfred HospitalMelbourneAustralia
| | - Joanna Loh
- Department of HaematologyMonash HealthMelbourneAustralia
| | - Pratheepan Puvanakumar
- Clinical HaematologyPeter MacCallum Cancer Centre and Royal Melbourne HospitalMelbourneAustralia
| | - James A Kuzich
- Department of HaematologyAustin Health and Olivia Newton John Cancer Research InstituteMelbourneAustralia
| | - Michelle Ho
- Department of HaematologyThe Canberra HospitalCanberraAustralia
| | - Matthew Murphy
- Department of HaematologyEastern HealthMelbourneAustralia
| | - Nicole Zeglinas
- Department of HaematologySt Vincent's Hospital MelbourneMelbourneAustralia
| | - Michael SY Low
- Department of HaematologyMonash HealthMelbourneAustralia
| | - David Routledge
- Clinical HaematologyPeter MacCallum Cancer Centre and Royal Melbourne HospitalMelbourneAustralia
- Department of MedicineUniversity of MelbourneMelbourneAustralia
| | - Andrew BM Lim
- Department of HaematologyAustin Health and Olivia Newton John Cancer Research InstituteMelbourneAustralia
| | - Simon D Gibbs
- Department of HaematologyEastern HealthMelbourneAustralia
- Department of HaematologyMonash UniversityMelbourneAustralia
| | - Hang Quach
- Department of HaematologySt Vincent's Hospital MelbourneMelbourneAustralia
- Department of MedicineUniversity of MelbourneMelbourneAustralia
| | - Sue Morgan
- Department of HaematologyThe Alfred HospitalMelbourneAustralia
| | - Elizabeth Moore
- School of Public Health and Preventive MedicineMonash UniversityMelbourneAustralia
| | - Slavisa Ninkovic
- Department of HaematologySt Vincent's Hospital MelbourneMelbourneAustralia
- Victorian Cancer Cytogenetics ServiceSt. Vincent's Hospital MelbourneMelbourneAustralia
- Department of MedicineUniversity of MelbourneMelbourneAustralia
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11
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Paiva B, Calasanz MJ. Highs and lows of t(4;14) in multiple myeloma. Blood 2023; 141:1500-1502. [PMID: 36995701 DOI: 10.1182/blood.2022018007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
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12
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Larrayoz M, Garcia-Barchino MJ, Celay J, Etxebeste A, Jimenez M, Perez C, Ordoñez R, Cobaleda C, Botta C, Fresquet V, Roa S, Goicoechea I, Maia C, Lasaga M, Chesi M, Bergsagel PL, Larrayoz MJ, Calasanz MJ, Campos-Sanchez E, Martinez-Cano J, Panizo C, Rodriguez-Otero P, Vicent S, Roncador G, Gonzalez P, Takahashi S, Katz SG, Walensky LD, Ruppert SM, Lasater EA, Amann M, Lozano T, Llopiz D, Sarobe P, Lasarte JJ, Planell N, Gomez-Cabrero D, Kudryashova O, Kurilovich A, Revuelta MV, Cerchietti L, Agirre X, San Miguel J, Paiva B, Prosper F, Martinez-Climent JA. Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma. Nat Med 2023; 29:632-645. [PMID: 36928817 PMCID: PMC10033443 DOI: 10.1038/s41591-022-02178-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 12/09/2022] [Indexed: 03/17/2023]
Abstract
The historical lack of preclinical models reflecting the genetic heterogeneity of multiple myeloma (MM) hampers the advance of therapeutic discoveries. To circumvent this limitation, we screened mice engineered to carry eight MM lesions (NF-κB, KRAS, MYC, TP53, BCL2, cyclin D1, MMSET/NSD2 and c-MAF) combinatorially activated in B lymphocytes following T cell-driven immunization. Fifteen genetically diverse models developed bone marrow (BM) tumors fulfilling MM pathogenesis. Integrative analyses of ∼500 mice and ∼1,000 patients revealed a common MAPK-MYC genetic pathway that accelerated time to progression from precursor states across genetically heterogeneous MM. MYC-dependent time to progression conditioned immune evasion mechanisms that remodeled the BM microenvironment differently. Rapid MYC-driven progressors exhibited a high number of activated/exhausted CD8+ T cells with reduced immunosuppressive regulatory T (Treg) cells, while late MYC acquisition in slow progressors was associated with lower CD8+ T cell infiltration and more abundant Treg cells. Single-cell transcriptomics and functional assays defined a high ratio of CD8+ T cells versus Treg cells as a predictor of response to immune checkpoint blockade (ICB). In clinical series, high CD8+ T/Treg cell ratios underlie early progression in untreated smoldering MM, and correlated with early relapse in newly diagnosed patients with MM under Len/Dex therapy. In ICB-refractory MM models, increasing CD8+ T cell cytotoxicity or depleting Treg cells reversed immunotherapy resistance and yielded prolonged MM control. Our experimental models enable the correlation of MM genetic and immunological traits with preclinical therapy responses, which may inform the next-generation immunotherapy trials.
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Affiliation(s)
- Marta Larrayoz
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Maria J Garcia-Barchino
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Jon Celay
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Amaia Etxebeste
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Maddalen Jimenez
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Cristina Perez
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Raquel Ordoñez
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Cesar Cobaleda
- Immune System Development and Function Unit, Centro de Biologia Molecular Severo Ochoa, Consejo Superior de Investigaciones Cientificas/Universidad Autonoma, Madrid, Spain
| | - Cirino Botta
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy
| | - Vicente Fresquet
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Sergio Roa
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Ibai Goicoechea
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Catarina Maia
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Miren Lasaga
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Marta Chesi
- Department of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - P Leif Bergsagel
- Department of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Maria J Larrayoz
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Maria J Calasanz
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Elena Campos-Sanchez
- Immune System Development and Function Unit, Centro de Biologia Molecular Severo Ochoa, Consejo Superior de Investigaciones Cientificas/Universidad Autonoma, Madrid, Spain
| | - Jorge Martinez-Cano
- Immune System Development and Function Unit, Centro de Biologia Molecular Severo Ochoa, Consejo Superior de Investigaciones Cientificas/Universidad Autonoma, Madrid, Spain
| | - Carlos Panizo
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Paula Rodriguez-Otero
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Silvestre Vicent
- Program in Solid Tumors, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBERONC, Pamplona, Spain
| | - Giovanna Roncador
- Monoclonal Antibodies Unit, Biotechnology Program, Spanish National Cancer Research Centre CNIO, Madrid, Spain
| | - Patricia Gonzalez
- Monoclonal Antibodies Unit, Biotechnology Program, Spanish National Cancer Research Centre CNIO, Madrid, Spain
| | - Satoru Takahashi
- Department of Anatomy and Embryology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Samuel G Katz
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Loren D Walensky
- Department of Pediatric Oncology and Program in Cancer Chemical Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Shannon M Ruppert
- Oncology Biomarker Development, Genentech, South San Francisco, CA, USA
| | - Elisabeth A Lasater
- Department of Translational Oncology, Genentech, South San Francisco, CA, USA
| | - Maria Amann
- Roche Innovation Center Zurich, Roche Pharmaceutical Research and Early Development (pRED), Schlieren, Switzerland
| | - Teresa Lozano
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Diana Llopiz
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Pablo Sarobe
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Juan J Lasarte
- Program of Immunology and Immunotherapy, Center for Applied Medical Research CIMA, University of Navarra, IDISNA, CIBEREHD, Pamplona, Spain
| | - Nuria Planell
- Translational Bioinformatics Unit, Navarra-Biomed, Public University of Navarra, IDISNA, Pamplona, Spain
| | - David Gomez-Cabrero
- Translational Bioinformatics Unit, Navarra-Biomed, Public University of Navarra, IDISNA, Pamplona, Spain
- Biological and Environmental Sciences & Engineering Division, King Abdullah University of Science & Technology, Thuwal, Kingdom of Saudi Arabia
| | | | | | - Maria V Revuelta
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Leandro Cerchietti
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Xabier Agirre
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
| | - Jesus San Miguel
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Bruno Paiva
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Felipe Prosper
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Jose A Martinez-Climent
- Division of Hemato-Oncology, Center for Applied Medical Research CIMA, Cancer Center University of Navarra (CCUN), Navarra Institute for Health Research (IDISNA), CIBERONC, Pamplona, Spain.
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13
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Monoclonal Gammopathies and the Bone Marrow Microenvironment: From Bench to Bedside and Then Back Again. Hematol Rep 2023; 15:23-49. [PMID: 36648882 PMCID: PMC9844382 DOI: 10.3390/hematolrep15010004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 09/11/2022] [Accepted: 01/03/2023] [Indexed: 01/12/2023] Open
Abstract
Multiple myeloma (MM) is an incurable hematologic malignancy characterized by a multistep evolutionary pathway, with an initial phase called monoclonal gammopathy of undetermined significance (MGUS), potentially evolving into the symptomatic disease, often preceded by an intermediate phase called "smoldering" MM (sMM). From a biological point of view, genomic alterations (translocations/deletions/mutations) are already present at the MGUS phase, thus rendering their role in disease evolution questionable. On the other hand, we currently know that changes in the bone marrow microenvironment (TME) could play a key role in MM evolution through a progressive shift towards a pro-inflammatory and immunosuppressive shape, which may drive cancer progression as well as clonal plasma cells migration, proliferation, survival, and drug resistance. Along this line, the major advancement in MM patients' survival has been achieved by the introduction of microenvironment-oriented drugs (including immunomodulatory drugs and monoclonal antibodies). In this review, we summarized the role of the different components of the TME in MM evolution from MGUS as well as potential novel therapeutic targets/opportunities.
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14
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Lymphoid clonal hematopoiesis: implications for malignancy, immunity, and treatment. Blood Cancer J 2023; 13:5. [PMID: 36599826 DOI: 10.1038/s41408-022-00773-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 12/07/2022] [Accepted: 12/12/2022] [Indexed: 01/05/2023] Open
Abstract
Clonal hematopoiesis (CH) is the age-related expansion of hematopoietic stem cell clones caused by the acquisition of somatic point mutations or mosaic chromosomal alterations (mCAs). Clonal hematopoiesis caused by somatic mutations has primarily been associated with increased risk of myeloid malignancies, while mCAs have been associated with increased risk of lymphoid malignancies. A recent study by Niroula et al. challenged this paradigm by finding a distinct subset of somatic mutations and mCAs that are associated with increased risk of lymphoid malignancy. CH driven by these mutations is termed lymphoid clonal hematopoiesis (L-CH). Unlike myeloid clonal hematopoiesis (M-CH), L-CH has the potential to originate at both stem cells and partially or fully differentiated progeny stages of maturation. In this review, we explore the definition of L-CH in the context of lymphocyte maturation and lymphoid malignancy precursor disorders, the evidence for L-CH in late-onset autoimmunity and immunodeficiency, and the development of therapy-related L-CH following chemotherapy or hematopoietic stem cell transplantation.
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15
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Chow S, Kis O, Mulder DT, Danesh A, Bruce J, Wang TT, Reece D, Bhalis N, Neri P, Sabatini PJ, Keats J, Trudel S, Pugh TJ. Myeloma immunoglobulin rearrangement and translocation detection through targeted capture sequencing. Life Sci Alliance 2023; 6:e202201543. [PMID: 36328595 PMCID: PMC9644417 DOI: 10.26508/lsa.202201543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 11/06/2022] Open
Abstract
Multiple myeloma is a plasma cell neoplasm characterized by clonal immunoglobulin V(D)J signatures and oncogenic immunoglobulin gene translocations. Additional subclonal genomic changes are acquired with myeloma progression and therapeutic selection. PCR-based methods to detect V(D)J rearrangements can have biases introduced by highly multiplexed reactions and primers undermined by somatic hypermutation, and are not readily extended to include mutation detection. Here, we report a hybrid-capture approach (CapIG-seq) targeting the 3' and 5' ends of the V and J segments of all immunoglobulin loci that enable the efficient detection of V(D)J rearrangements. We also included baits for oncogenic translocations and mutation detection. We demonstrate complete concordance with matched whole-genome sequencing and/or PCR clonotyping of 24 cell lines and report the clonal sequences for 41 uncharacterized cell lines. We also demonstrate the application to patient specimens, including 29 bone marrow and 39 cell-free DNA samples. CapIG-seq shows concordance between bone marrow and cfDNA blood samples (both contemporaneous and follow-up) with regard to the somatic variant, V(D)J, and translocation detection. CapIG-seq is a novel, efficient approach to examining genomic alterations in myeloma.
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Affiliation(s)
- Signy Chow
- University Health Network, Toronto, Canada
- Sunnybrook Health Sciences Centre, Toronto, Canada
- University of Toronto, Toronto, Canada
| | - Olena Kis
- University Health Network, Toronto, Canada
| | | | | | - Jeff Bruce
- University Health Network, Toronto, Canada
| | - Ting Ting Wang
- University Health Network, Toronto, Canada
- University of Toronto, Toronto, Canada
| | - Donna Reece
- University Health Network, Toronto, Canada
- University of Toronto, Toronto, Canada
| | | | | | - Peter Jb Sabatini
- University Health Network, Toronto, Canada
- University of Toronto, Toronto, Canada
| | - Jonathan Keats
- Translational Genomics Research Institute, City of Hope, AZ, USA
| | - Suzanne Trudel
- University Health Network, Toronto, Canada
- University of Toronto, Toronto, Canada
| | - Trevor J Pugh
- University Health Network, Toronto, Canada
- University of Toronto, Toronto, Canada
- Ontario Institute for Cancer Research, Toronto, Canada
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16
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Machado HE, Mitchell E, Øbro NF, Kübler K, Davies M, Leongamornlert D, Cull A, Maura F, Sanders MA, Cagan ATJ, McDonald C, Belmonte M, Shepherd MS, Vieira Braga FA, Osborne RJ, Mahbubani K, Martincorena I, Laurenti E, Green AR, Getz G, Polak P, Saeb-Parsy K, Hodson DJ, Kent DG, Campbell PJ. Diverse mutational landscapes in human lymphocytes. Nature 2022; 608:724-732. [PMID: 35948631 PMCID: PMC9402440 DOI: 10.1038/s41586-022-05072-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 07/05/2022] [Indexed: 11/25/2022]
Abstract
The lymphocyte genome is prone to many threats, including programmed mutation during differentiation1, antigen-driven proliferation and residency in diverse microenvironments. Here, after developing protocols for expansion of single-cell lymphocyte cultures, we sequenced whole genomes from 717 normal naive and memory B and T cells and haematopoietic stem cells. All lymphocyte subsets carried more point mutations and structural variants than haematopoietic stem cells, with higher burdens in memory cells than in naive cells, and with T cells accumulating mutations at a higher rate throughout life. Off-target effects of immunological diversification accounted for approximately half of the additional differentiation-associated mutations in lymphocytes. Memory B cells acquired, on average, 18 off-target mutations genome-wide for every on-target IGHV mutation during the germinal centre reaction. Structural variation was 16-fold higher in lymphocytes than in stem cells, with around 15% of deletions being attributable to off-target recombinase-activating gene activity. DNA damage from ultraviolet light exposure and other sporadic mutational processes generated hundreds to thousands of mutations in some memory cells. The mutation burden and signatures of normal B cells were broadly similar to those seen in many B-cell cancers, suggesting that malignant transformation of lymphocytes arises from the same mutational processes that are active across normal ontogeny. The mutational landscape of normal lymphocytes chronicles the off-target effects of programmed genome engineering during immunological diversification and the consequences of differentiation, proliferation and residency in diverse microenvironments.
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Affiliation(s)
| | - Emily Mitchell
- Wellcome Sanger Institute, Hinxton, UK
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Nina F Øbro
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Kirsten Kübler
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Megan Davies
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Cambridge Molecular Diagnostics, Milton Road, Cambridge, United Kingdom
| | | | - Alyssa Cull
- York Biomedical Research Institute, University of York, Wentworth Way, York, United Kingdom
| | | | - Mathijs A Sanders
- Wellcome Sanger Institute, Hinxton, UK
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | | | - Craig McDonald
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- York Biomedical Research Institute, University of York, Wentworth Way, York, United Kingdom
| | - Miriam Belmonte
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- York Biomedical Research Institute, University of York, Wentworth Way, York, United Kingdom
| | - Mairi S Shepherd
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | | | - Robert J Osborne
- Wellcome Sanger Institute, Hinxton, UK
- Biofidelity, 330 Cambridge Science Park, Milton Road, Cambridge, United Kingdom
| | - Krishnaa Mahbubani
- Department of Haematology, University of Cambridge, Cambridge, UK
- Department of Surgery, University of Cambridge, Cambridge, United Kingdom
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | | | - Elisa Laurenti
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Anthony R Green
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Paz Polak
- Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Kourosh Saeb-Parsy
- Department of Surgery, University of Cambridge, Cambridge, United Kingdom
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Daniel J Hodson
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - David G Kent
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
- Department of Haematology, University of Cambridge, Cambridge, UK.
- York Biomedical Research Institute, University of York, Wentworth Way, York, United Kingdom.
| | - Peter J Campbell
- Wellcome Sanger Institute, Hinxton, UK.
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
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17
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Sklavenitis-Pistofidis R, Getz G, Ghobrial I, Papaioannou M. Multiple Myeloma With Amplification of Chr1q: Therapeutic Opportunity and Challenges. Front Oncol 2022; 12:961421. [PMID: 35912171 PMCID: PMC9331166 DOI: 10.3389/fonc.2022.961421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Multiple myeloma (MM) is an incurable plasma cell malignancy with a heterogeneous genetic background. Each MM subtype may have its own therapeutic vulnerabilities, and tailored therapy could improve outcomes. However, the cumulative frequency of druggable targets across patients is very low, which has precluded the widespread adoption of precision therapy for patients with MM. Amplification of the long arm of chromosome 1 (Amp1q) is one of the most frequent genetic alterations observed in patients with MM, and its presence predicts inferior outcomes in the era of proteasome inhibitors and immunomodulatory agents. Therefore, establishing precision medicine for MM patients with Amp1q stands to benefit a large portion of patients who are otherwise at higher risk of relapse. In this article, we review the prevalence and clinical significance of Amp1q in patients with MM, its pathogenesis and therapeutic vulnerabilities, and discuss the opportunities and challenges for Amp1q-targeted therapy.
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Affiliation(s)
- Romanos Sklavenitis-Pistofidis
- Harvard Medical School, Boston, MA, United States
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, United States
- Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Gad Getz
- Harvard Medical School, Boston, MA, United States
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, United States
- Department of Pathology, Massachusetts General Hospital, Boston, MA, United States
| | - Irene Ghobrial
- Harvard Medical School, Boston, MA, United States
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, United States
| | - Maria Papaioannou
- Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Hematology Unit, 1st Internal Medicine Department, AHEPA University Hospital, Thessaloniki, Greece
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18
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Mikulasova A, Kent D, Trevisan-Herraz M, Karataraki N, Fung KTM, Ashby C, Cieslak A, Yaccoby S, van Rhee F, Zangari M, Thanendrarajan S, Schinke C, Morgan GJ, Asnafi V, Spicuglia S, Brackley CA, Corcoran AE, Hambleton S, Walker BA, Rico D, Russell LJ. Epigenomic translocation of H3K4me3 broad domains over oncogenes following hijacking of super-enhancers. Genome Res 2022; 32:1343-1354. [PMID: 34933939 PMCID: PMC9341503 DOI: 10.1101/gr.276042.121] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 12/15/2021] [Indexed: 11/24/2022]
Abstract
Chromosomal translocations are important drivers of haematological malignancies whereby proto-oncogenes are activated by juxtaposition with enhancers, often called enhancer hijacking We analyzed the epigenomic consequences of rearrangements between the super-enhancers of the immunoglobulin heavy locus (IGH) and proto-oncogene CCND1 that are common in B cell malignancies. By integrating BLUEPRINT epigenomic data with DNA breakpoint detection, we characterized the normal chromatin landscape of the human IGH locus and its dynamics after pathological genomic rearrangement. We detected an H3K4me3 broad domain (BD) within the IGH locus of healthy B cells that was absent in samples with IGH-CCND1 translocations. The appearance of H3K4me3-BD over CCND1 in the latter was associated with overexpression and extensive chromatin accessibility of its gene body. We observed similar cancer-specific H3K4me3-BDs associated with hijacking of super-enhancers of other common oncogenes in B cell (MAF, MYC, and FGFR3/NSD2) and T cell malignancies (LMO2, TLX3, and TAL1). Our analysis suggests that H3K4me3-BDs can be created by super-enhancers and supports the new concept of epigenomic translocation, in which the relocation of H3K4me3-BDs from cell identity genes to oncogenes accompanies the translocation of super-enhancers.
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Affiliation(s)
- Aneta Mikulasova
- Biosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
| | - Daniel Kent
- Biosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
| | - Marco Trevisan-Herraz
- Biosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
| | - Nefeli Karataraki
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
| | - Kent T M Fung
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
| | - Cody Ashby
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Agata Cieslak
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut National de la Santé et de la Recherche Médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, 75015 Paris, France
| | - Shmuel Yaccoby
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Frits van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Maurizio Zangari
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | | | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Gareth J Morgan
- NYU Langone Medical Center, Perlmutter Cancer Center, NYU Langone Health, New York, New York 10016, USA
| | - Vahid Asnafi
- Université de Paris (Descartes), Institut Necker-Enfants Malades (INEM), Institut National de la Santé et de la Recherche Médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, 75015 Paris, France
| | - Salvatore Spicuglia
- Aix-Marseille University, Inserm, Theories and Approaches of Genomic Complexity (TAGC), UMR1090, 13288 Marseille, France
- Equipe Labellisée Ligue Contre le Cancer, 13288 Marseille, France
| | - Chris A Brackley
- SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - Anne E Corcoran
- Lymphocyte Signalling and Development Programme, Babraham Institute, Cambridge CB22 3AT, United Kingdom
| | - Sophie Hambleton
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
- Great North Children's Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne NE1 4LP, United Kingdom
| | - Brian A Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University, Indianapolis, Indiana 46202, USA
| | - Daniel Rico
- Biosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
| | - Lisa J Russell
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
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19
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Sudha P, Ahsan A, Ashby C, Kausar T, Khera A, Kazeroun MH, Hsu CC, Wang L, Fitzsimons E, Salminen O, Blaney P, Czader M, Williams J, Abu Zaid MI, Ansari-Pour N, Yong KL, van Rhee F, Pierceall WE, Morgan GJ, Flynt E, Gooding S, Abonour R, Ramasamy K, Thakurta A, Walker BA. Myeloma Genome Project Panel is a Comprehensive Targeted Genomics Panel for Molecular Profiling of Patients with Multiple Myeloma. Clin Cancer Res 2022; 28:2854-2864. [PMID: 35522533 PMCID: PMC9250632 DOI: 10.1158/1078-0432.ccr-21-3695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 01/11/2022] [Accepted: 05/03/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE We designed a comprehensive multiple myeloma targeted sequencing panel to identify common genomic abnormalities in a single assay and validated it against known standards. EXPERIMENTAL DESIGN The panel comprised 228 genes/exons for mutations, 6 regions for translocations, and 56 regions for copy number abnormalities (CNA). Toward panel validation, targeted sequencing was conducted on 233 patient samples and further validated using clinical FISH (translocations), multiplex ligation probe analysis (MLPA; CNAs), whole-genome sequencing (WGS; CNAs, mutations, translocations), or droplet digital PCR (ddPCR) of known standards (mutations). RESULTS Canonical immunoglobulin heavy chain translocations were detected in 43.2% of patients by sequencing, and aligned with FISH except for 1 patient. CNAs determined by sequencing and MLPA for 22 regions were comparable in 103 samples and concordance between platforms was R2 = 0.969. Variant allele frequency (VAF) for 74 mutations were compared between sequencing and ddPCR with concordance of R2 = 0.9849. CONCLUSIONS In summary, we have developed a targeted sequencing panel that is as robust or superior to FISH and WGS. This molecular panel is cost-effective, comprehensive, clinically actionable, and can be routinely deployed to assist risk stratification at diagnosis or posttreatment to guide sequencing of therapies.
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Affiliation(s)
- Parvathi Sudha
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Aarif Ahsan
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Cody Ashby
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Tasneem Kausar
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Akhil Khera
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Mohammad H. Kazeroun
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Chih-Chao Hsu
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Lin Wang
- Department of Pathology and Laboratory Research, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | | | - Outi Salminen
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Patrick Blaney
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York
| | - Magdalena Czader
- Department of Pathology and Laboratory Research, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Jonathan Williams
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Mohammad I. Abu Zaid
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Naser Ansari-Pour
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Kwee L. Yong
- Cancer Institute, University College London, London, United Kingdom
| | - Frits van Rhee
- Myeloma Center, Winthrop P. Rockefeller Cancer institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | | | - Gareth J. Morgan
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York
| | - Erin Flynt
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
| | - Sarah Gooding
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
- Oxford Center for Translational Myeloma Research, University of Oxford, Oxford, United Kingdom
| | - Rafat Abonour
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
| | - Karthik Ramasamy
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
- Oxford Center for Translational Myeloma Research, University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Anjan Thakurta
- Translational Medicine, Bristol Myers Squibb, Summit, New Jersey
- Oxford Center for Translational Myeloma Research, University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Brian A. Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Division of Hematology Oncology, Indiana University School of Medicine, Indiana University, Indianapolis, Indiana
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20
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Hagen P, Sellin M, Berg S, Zhang J. Increasing genomic discovery in newly diagnosed multiple myeloma: defining disease biology and its correlation to risk. Ann Hematol 2022; 101:1407-1420. [PMID: 35585246 PMCID: PMC9756633 DOI: 10.1007/s00277-022-04856-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/25/2022] [Indexed: 01/03/2023]
Abstract
Our understanding of MM genomics has expanded rapidly in the past 5-10 years as a consequence of cytogenetic analyses obtained in routine clinical practice as well as the ability to perform whole-exome/genome sequencing and gene expression profiling on large patient data sets. This knowledge has offered new insights into disease biology and is increasingly defining high-risk genomic patterns. In this manuscript, we present a thorough review of our current knowledge of MM genomics. The epidemiology and biology of chromosomal abnormalities including both copy number abnormalities and chromosomal translocation are described in full with a focus on those most clinically impactful such as 1q amplification and del(17p) as well as certain chromosome 14 translocations. A review of our ever-expanding knowledge of genetic mutations derived from recent whole-genome/exome data sets is then reviewed including those that drive disease pathogenesis from precursor states as well as those that may impact clinical outcomes. We then transition and attempt to elucidate how both chromosomal abnormalities and gene mutations are evolving our understanding of disease risk. We conclude by offering our perspectives moving forward as to how we might apply whole-genome/exome-level data in addition to routine cytogenetic analyses to improve patient outcomes as well as further knowledge gaps that must be addressed.
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Affiliation(s)
- Patrick Hagen
- Department of Hematology/Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA
| | - Mark Sellin
- Department of Hematology/Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA
| | - Stephanie Berg
- Department of Cancer Biology, Oncology Institute, Cardinal Bernardin Cancer Center, Loyola University Medical Center, Maywood, IL, 60153, USA
| | - Jiwang Zhang
- Department of Cancer Biology, Oncology Institute, Cardinal Bernardin Cancer Center, Loyola University Medical Center, Maywood, IL, 60153, USA,Department of Pathology and Department of Radiation Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA
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21
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Hultcrantz M, Rustad EH, Yellapantula V, Jacob A, Akhlaghi T, Korde N, Mailankody S, Lesokhin AM, Hassoun H, Smith EL, Lahoud OB, Landau HJ, Shah GL, Scordo M, Chung DJ, Giralt S, Papaemmanuil E, Landgren O. Capture Rate of V(D)J Sequencing for Minimal Residual Disease Detection in Multiple Myeloma. Clin Cancer Res 2022; 28:2160-2166. [PMID: 35553646 DOI: 10.1158/1078-0432.ccr-20-2995] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/28/2020] [Accepted: 02/18/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE Minimal residual disease (MRD) negativity is a strong predictor for outcome in multiple myeloma. To assess V(D)J clonotype capture using the updated Adaptive next-generation sequencing (NGS) MRD assay in a clinical setting, we analyzed baseline and follow-up samples from patients with multiple myeloma who achieved deep clinical responses. EXPERIMENTAL DESIGN A total of 159 baseline and 31 follow-up samples from patients with multiple myeloma were sequenced using the NGS MRD assay. Baseline samples were also sequenced using a targeted multiple myeloma panel (myTYPE). We estimated ORs with 95% confidence intervals (CI) for clonotypes detection using logistic regression. RESULTS The V(D)J clonotype capture rate was 93% in baseline samples with detectable genomic aberrations, indicating presence of tumor DNA, assessed through myTYPE. myTYPE-positive samples had significantly higher V(D)J clonotype detection rates in univariate (OR, 7.3; 95% CI, 2.8-22.6) and multivariate analysis (OR, 4.4; 95% CI, 1.4-16.9; P = 0.016). Higher disease burden was associated with higher probability of V(D)J clonotype capture, meanwhile no such association was found for age, gender, or type of heavy or light immunoglobulin chain. All V(D)J clonotypes detected at baseline were detected in MRD-positive samples indicating that the V(D)J clonotypes remained stable and did not undergo further rearrangements during follow-up. Of the 31 posttreatment samples, 12 were MRD-negative using the NGS MRD assay. CONCLUSIONS NGS for V(D)J rearrangements in multiple myeloma offers a reliable and sensitive method for MRD tracking with high detection rates in the clinical setting.
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Affiliation(s)
- Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York.,Karolinska Institute, Department of Medicine, Solna, Stockholm, Sweden
| | - Even H Rustad
- Department of Cancer Immunology, Oslo University Hospital Radiumhospitalet, Oslo, Norway
| | - Venkata Yellapantula
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | | | - Theresia Akhlaghi
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Neha Korde
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Sham Mailankody
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Alexander M Lesokhin
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Hani Hassoun
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Eric L Smith
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Oscar B Lahoud
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Heather J Landau
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Gunjan L Shah
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Michael Scordo
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - David J Chung
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Sergio Giralt
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Manhattan, New York
| | - Elli Papaemmanuil
- Department of Cancer Immunology, Oslo University Hospital Radiumhospitalet, Oslo, Norway
| | - Ola Landgren
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
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22
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Hanamura I. Multiple myeloma with high-risk cytogenetics and its treatment approach. Int J Hematol 2022; 115:762-777. [PMID: 35534749 PMCID: PMC9160142 DOI: 10.1007/s12185-022-03353-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/11/2022] [Accepted: 04/11/2022] [Indexed: 12/13/2022]
Abstract
Despite substantial advances in anti-myeloma treatments, early recurrence and death remain an issue in certain subpopulations. Cytogenetic abnormalities (CAs) are the most widely accepted predictors for poor prognosis in multiple myeloma (MM), such as t(4;14), t(14;16), t(14;20), gain/amp(1q21), del(1p), and del(17p). Co-existing high-risk CAs (HRCAs) tend to be associated with an even worse prognosis. Achievement of sustained minimal residual disease (MRD)-negativity has recently emerged as a surrogate for longer survival, regardless of cytogenetic risk. Information from newer clinical trials suggests that extended intensified treatment can help achieve MRD-negativity in patients with HRCAs, which may lead to improved outcomes. Therapy should be considered to include a 3- or 4-drug induction regimen (PI/IMiD/Dex or PI/IMiD/Dex/anti-CD38 antibody), auto-transplantation, and consolidation/maintenance with lenalidomide ± a PI. Results from ongoing clinical trials for enriched high-risk populations will reveal the precise efficacy of the investigated regimens. Genetic abnormalities of MM cells are intrinsic critical factors determining tumor characteristics, which reflect the natural course and drug sensitivity of the disease. This paper reviews the clinicopathological features of genomic abnormalities related to adverse prognosis, focusing on HRCAs that are the most relevant in clinical practice, and outline current optimal therapeutic approaches for newly diagnosed MM with HRCAs.
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Affiliation(s)
- Ichiro Hanamura
- Division of Hematology, Department of Internal Medicine, Aichi Medical University, 1 Karimata, Yazako, Nagakute, Aichi, 480-1195, Japan.
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23
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Jasiński M, Biliński J, Basak GW. The Role of the Crosstalk Between Gut Microbiota and Immune Cells in the Pathogenesis and Treatment of Multiple Myeloma. Front Immunol 2022; 13:853540. [PMID: 35432306 PMCID: PMC9009288 DOI: 10.3389/fimmu.2022.853540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 02/28/2022] [Indexed: 11/26/2022] Open
Abstract
Around 10% of all hematologic malignancies are classified as multiple myeloma (MM), the second most common malignancy within that group. Although massive progress in developing of new drugs against MM has been made in recent years, MM is still an incurable disease, and every patient eventually has relapse refractory to any known treatment. That is why further and non-conventional research elucidating the role of new factors in MM pathogenesis is needed, facilitating discoveries of the new drugs. One of these factors is the gut microbiota, whose role in health and disease is still being explored. This review presents the continuous changes in the gut microbiota composition during our whole life with a particular focus on its impact on our immune system. Additionally, it mainly focuses on the chronic antigenic stimulation of B-cells as the leading mechanism responsible for MM promotion. The sophisticated interactions between microorganisms colonizing our gut, immune cells (dendritic cells, macrophages, neutrophils, T/B cells, plasma cells), and intestinal epithelial cells will be shown. That article summarizes the current knowledge about the initiation of MM cells, emphasizing the role of microorganisms in that process.
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Affiliation(s)
- Marcin Jasiński
- Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.,Doctoral School, Medical University of Warsaw, Warsaw, Poland
| | - Jarosław Biliński
- Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.,Human Biome Institute, Gdańsk, Poland
| | - Grzegorz W Basak
- Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.,Human Biome Institute, Gdańsk, Poland
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24
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Aksenova AY, Zhuk AS, Lada AG, Zotova IV, Stepchenkova EI, Kostroma II, Gritsaev SV, Pavlov YI. Genome Instability in Multiple Myeloma: Facts and Factors. Cancers (Basel) 2021; 13:5949. [PMID: 34885058 PMCID: PMC8656811 DOI: 10.3390/cancers13235949] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/20/2021] [Accepted: 11/22/2021] [Indexed: 02/06/2023] Open
Abstract
Multiple myeloma (MM) is a malignant neoplasm of terminally differentiated immunoglobulin-producing B lymphocytes called plasma cells. MM is the second most common hematologic malignancy, and it poses a heavy economic and social burden because it remains incurable and confers a profound disability to patients. Despite current progress in MM treatment, the disease invariably recurs, even after the transplantation of autologous hematopoietic stem cells (ASCT). Biological processes leading to a pathological myeloma clone and the mechanisms of further evolution of the disease are far from complete understanding. Genetically, MM is a complex disease that demonstrates a high level of heterogeneity. Myeloma genomes carry numerous genetic changes, including structural genome variations and chromosomal gains and losses, and these changes occur in combinations with point mutations affecting various cellular pathways, including genome maintenance. MM genome instability in its extreme is manifested in mutation kataegis and complex genomic rearrangements: chromothripsis, templated insertions, and chromoplexy. Chemotherapeutic agents used to treat MM add another level of complexity because many of them exacerbate genome instability. Genome abnormalities are driver events and deciphering their mechanisms will help understand the causes of MM and play a pivotal role in developing new therapies.
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Affiliation(s)
- Anna Y. Aksenova
- Laboratory of Amyloid Biology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Anna S. Zhuk
- International Laboratory “Computer Technologies”, ITMO University, 197101 St. Petersburg, Russia;
| | - Artem G. Lada
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA;
| | - Irina V. Zotova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Elena I. Stepchenkova
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia; (I.V.Z.); (E.I.S.)
- Vavilov Institute of General Genetics, St. Petersburg Branch, Russian Academy of Sciences, 199034 St. Petersburg, Russia
| | - Ivan I. Kostroma
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Sergey V. Gritsaev
- Russian Research Institute of Hematology and Transfusiology, 191024 St. Petersburg, Russia; (I.I.K.); (S.V.G.)
| | - Youri I. Pavlov
- Eppley Institute for Research in Cancer, Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
- Departments of Biochemistry and Molecular Biology, Microbiology and Pathology, Genetics Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
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25
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(Distinct) origins of IgM myeloma. Blood 2021; 138:1914-1915. [PMID: 34792568 DOI: 10.1182/blood.2021013860] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 08/27/2021] [Indexed: 11/20/2022] Open
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26
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Bazarbachi AH, Avet-Loiseau H, Szalat R, Samur AA, Hunter Z, Shammas M, Corre J, Fulciniti M, Anderson KC, Parmigiani G, Treon SP, Mohty M, Munshi NC, Samur MK. IgM-MM is predominantly a pre-germinal center disorder and has a distinct genomic and transcriptomic signature from WM. Blood 2021; 138:1980-1985. [PMID: 34792571 PMCID: PMC8602933 DOI: 10.1182/blood.2021011452] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 08/18/2021] [Indexed: 12/19/2022] Open
Abstract
Immunoglobulin M (IgM) multiple myeloma (MM) is a rare disease subgroup. Its differentiation from other IgM-producing gammopathies such as Waldenström macroglobulinemia (WM) has not been well characterized but is essential for proper risk assessment and treatment. In this study, we investigated genomic and transcriptomic characteristics of IgM-MM samples using whole-genome and transcriptome sequencing to identify differentiating characteristics from non-IgM-MM and WM. Our results suggest that IgM-MM shares most of its defining structural variants and gene-expression profiling with MM, but has some key characteristics, including t(11;14) translocation, chromosome 6 and 13 deletion as well as distinct molecular and transcription-factor signatures. Furthermore, IgM-MM translocations were predominantly characterized by VHDHJH recombination-induced breakpoints, as opposed to the usual class-switching region breakpoints; coupled with its lack of class switching, these data favor a pre-germinal center origin. Finally, we found elevated expression of clinically relevant targets, including CD20 and Bruton tyrosine kinase, as well as high BCL2/BCL2L1 ratio in IgM-MM, providing potential for targeted therapeutics.
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Affiliation(s)
- Abdul Hamid Bazarbachi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
- Department of Internal Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, New York, NY
| | - Hervé Avet-Loiseau
- University Cancer Center of Toulouse, Institut National de la Santé, Toulouse, France
| | - Raphael Szalat
- Department of Hematology and Medical Oncology, Boston University Medical Center, Boston, MA
| | - Anil Aktas Samur
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Zachary Hunter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Masood Shammas
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Jill Corre
- University Cancer Center of Toulouse, Institut National de la Santé, Toulouse, France
| | - Mariateresa Fulciniti
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Kenneth C Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Giovanni Parmigiani
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Steven P Treon
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Mohamad Mohty
- Service d'Hématologie Clinique et Thérapie Cellulaire, Hôpital Saint-Antoine, INSERM UMRs 938, Université Sorbonne, Paris, France; and
| | - Nikhil C Munshi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
- VA Boston Healthcare System, Boston, MA
| | - Mehmet Kemal Samur
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
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Bergsagel PL, Kuehl WM. Promiscuous Structural Variants Drive Myeloma Initiation and Progression. Blood Cancer Discov 2021; 1:221-223. [PMID: 34661146 DOI: 10.1158/2643-3230.bcd-20-0170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
A comprehensive genomic analysis of structural variants in multiple myeloma in this issue highlights the key role of these events, involving primarily the immunoglobulin heavy chain locus in disease initiation and the MYC locus in disease progression. However, the current study reveals the large number of genomic hotspots, oncogenes, tumor suppressor genes, and recombination mechanisms that contribute to multiple myeloma heterogeneity. See related article by Rustad et al., p. 258.
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Affiliation(s)
- P Leif Bergsagel
- Department of Medicine, Mayo Clinic Arizona, Scottsdale, Arizona
| | - W Michael Kuehl
- Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
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28
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Dalland JC, Smadbeck JB, Sharma N, Meyer RG, Pearce KE, Greipp PT, Peterson JF, Kumar S, Ketterling RP, King RL, Baughn LB. Increased complexity of t(11;14) rearrangements in plasma cell neoplasms compared with mantle cell lymphoma. Genes Chromosomes Cancer 2021; 60:678-686. [PMID: 34124820 PMCID: PMC8453742 DOI: 10.1002/gcc.22977] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 06/03/2021] [Accepted: 06/04/2021] [Indexed: 12/14/2022] Open
Abstract
Plasma cell neoplasms (PCN) and mantle cell lymphoma (MCL) can both harbor t(11;14)(q13;q32) (CCND1/IGH), usually resulting in cyclin D1 overexpression. In some cases, particularly at low levels of disease, it can be morphologically challenging to distinguish between these entities in the bone marrow (BM) since PCN with t(11;14) are often CD20-positive with lymphoplasmacytic cytology, while MCL can rarely have plasmacytic differentiation. We compared the difference in CCND1/IGH by fluorescence in situ hybridization (FISH) in PCN and MCL to evaluate for possible differentiating characteristics. We identified 326 cases of MCL with t(11;14) and 279 cases of PCN with t(11;14) from either formalin-fixed, paraffin-embedded tissue or fresh BM specimens. The "typical," balanced CCND1/IGH FISH signal pattern was defined as three total CCND1 signals, three total IGH signals, and two total fusion signals. Any deviation from the "typical" pattern was defined as an "atypical" pattern, which was further stratified into "gain of fusion" vs "complex" patterns. There was a significantly higher proportion of cases that showed an atypical FISH pattern in PCN compared with MCL (53% vs 27%, P < .0001). There was also a significantly higher proportion of cases that showed a complex FISH pattern in PCN compared with MCL (47% vs 17%, P < .0001). We confirmed these findings using mate-pair sequencing of 25 PCN and MCL samples. PCN more often have a complex CCND1/IGH FISH pattern compared with MCL, suggesting possible differences in the genomic mechanisms underlying these rearrangements in plasma cells compared with B cells.
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Affiliation(s)
- Joanna C. Dalland
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - James B. Smadbeck
- Division of Computational Biology, Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Neeraj Sharma
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Reid G. Meyer
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Kathryn E. Pearce
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Patricia T. Greipp
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA,Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Jess F. Peterson
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA,Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Shaji Kumar
- Division of Hematology, Department of Internal MedicineMayo ClinicRochesterMinnesotaUSA
| | - Rhett P. Ketterling
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA,Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Rebecca L. King
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Linda B. Baughn
- Division of Hematopathology, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA,Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
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29
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Bird S, Cairns D, Menzies T, Boyd K, Davies F, Cook G, Drayson M, Gregory W, Jenner M, Jones J, Kaiser M, Owen R, Jackson G, Morgan G, Pawlyn C. Sex Differences in Multiple Myeloma Biology but not Clinical Outcomes: Results from 3894 Patients in the Myeloma XI Trial. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2021; 21:667-675. [PMID: 34059488 PMCID: PMC8528179 DOI: 10.1016/j.clml.2021.04.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 04/16/2021] [Indexed: 12/05/2022]
Abstract
BACKGROUND Sex differences in the incidence and outcomes of several cancers are well established. Multiple myeloma (MM) is a malignant plasma cell dyscrasia accounting for 2% of all new cancer cases in the UK. There is a clear sex disparity in MM incidence, with 57% of cases in males and 43% in females. The mechanisms behind this are not well understood and the impact of sex on patient outcomes has not been thoroughly explored. PATIENTS AND METHODS We investigated the association of sex with baseline disease characteristics and outcome in 3894 patients recruited to the phase III UK NCRI Myeloma XI trial, in which treatment exposure to lenalidomide predominated. RESULTS Females were significantly more likely to have the molecular lesions t(14;16) and del(17p) and were more likely to meet the cytogenetic classification of high-risk (HiR) or ultra-high-risk disease (UHiR). There was no difference in progression-free survival (PFS) or overall survival (OS) between the sexes in the overall population. CONCLUSION Our data suggest that the genetic lesions involved in the initiation and progression of MM may be different between the sexes. Although females were more likely to have the poor prognosis lesions t(14;16) and del(17p), and were more likely to be assessed as having HiR or UHiR disease, this was not associated with reduced PFS or OS. In female patients the trial treatment may have been able to overcome some of the adverse effects of high-risk cytogenetic lesions. MicroAbstract Multiple myeloma (MM) is more common in males compared to females but the reasons behind this are not well understood and the impact of sex on patient outcomes is unclear. This study demonstrates fundamental differences in genetic lesions underlying the biology of MM between males and females. However, we found that progression-free survival and overall survival were the same in both sexes.
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Affiliation(s)
- Sarah Bird
- The Institute of Cancer Research, London; The Royal Marsden Hospital, London
| | - David Cairns
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds
| | - Tom Menzies
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds
| | - Kevin Boyd
- The Institute of Cancer Research, London; The Royal Marsden Hospital, London
| | - Faith Davies
- Perlmutter Cancer Center, NY Langone Health, New York, USA
| | - Gordon Cook
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds
| | - Mark Drayson
- Clinical Immunology, University of Birmingham, Birmingham
| | - Walter Gregory
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds
| | - Matthew Jenner
- University Hospital Southampton NHS Foundation Trust, Southampton
| | - John Jones
- The Institute of Cancer Research, London
| | - Martin Kaiser
- The Institute of Cancer Research, London; The Royal Marsden Hospital, London
| | | | - Graham Jackson
- Department of Haematology, Newcastle University, Newcastle
| | - Gareth Morgan
- Perlmutter Cancer Center, NY Langone Health, New York, USA
| | - Charlotte Pawlyn
- The Institute of Cancer Research, London; The Royal Marsden Hospital, London.
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30
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From Bench to Bedside: The Evolution of Genomics and Its Implications for the Current and Future Management of Multiple Myeloma. ACTA ACUST UNITED AC 2021; 27:213-221. [PMID: 34549910 DOI: 10.1097/ppo.0000000000000523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
ABSTRACT The summation of 20 years of biological studies and the comprehensive analysis of more than 1000 multiple myeloma genomes with data linked to clinical outcome has enabled an increased understanding of the pathogenesis of multiple myeloma in the context of normal plasma cell biology. This novel data have facilitated the identification of prognostic markers and targets suitable for therapeutic manipulation. The challenge moving forward is to translate this genetic and biological information into the clinic to improve patient care. This review discusses the key data required to achieve this and provides a framework within which to explore the use of response-adapted, biologically targeted, molecularly targeted, and risk-stratified therapeutic approaches to improve the management of patients with multiple myeloma.
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31
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Validation of the EuroClonality-NGS DNA capture panel as an integrated genomic tool for lymphoproliferative disorders. Blood Adv 2021; 5:3188-3198. [PMID: 34424321 DOI: 10.1182/bloodadvances.2020004056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 04/16/2021] [Indexed: 11/20/2022] Open
Abstract
Current diagnostic standards for lymphoproliferative disorders include multiple tests for detection of clonal immunoglobulin (IG) and/or T-cell receptor (TCR) rearrangements, translocations, copy-number alterations (CNAs), and somatic mutations. The EuroClonality-NGS DNA Capture (EuroClonality-NDC) assay was designed as an integrated tool to characterize these alterations by capturing IGH switch regions along with variable, diversity, and joining genes of all IG and TCR loci in addition to clinically relevant genes for CNA and mutation analysis. Diagnostic performance against standard-of-care clinical testing was assessed in a cohort of 280 B- and T-cell malignancies from 10 European laboratories, including 88 formalin-fixed paraffin-embedded samples and 21 reactive lesions. DNA samples were subjected to the EuroClonality-NDC protocol in 7 EuroClonality-NGS laboratories and analyzed using a bespoke bioinformatic pipeline. The EuroClonality-NDC assay detected B-cell clonality in 191 (97%) of 197 B-cell malignancies and T-cell clonality in 71 (97%) of 73 T-cell malignancies. Limit of detection (LOD) for IG/TCR rearrangements was established at 5% using cell line blends. Chromosomal translocations were detected in 145 (95%) of 152 cases known to be positive. CNAs were validated for immunogenetic and oncogenetic regions, highlighting their novel role in confirming clonality in somatically hypermutated cases. Single-nucleotide variant LOD was determined as 4% allele frequency, and an orthogonal validation using 32 samples resulted in 98% concordance. The EuroClonality-NDC assay is a robust tool providing a single end-to-end workflow for simultaneous detection of B- and T-cell clonality, translocations, CNAs, and sequence variants.
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32
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Bendig S, Walter W, Meggendorfer M, Bär C, Fuhrmann I, Kern W, Haferlach T, Haferlach C, Stengel A. Whole genome sequencing demonstrates substantial pathophysiological differences of MYC rearrangements in patients with plasma cell myeloma and B-cell lymphoma. Leuk Lymphoma 2021; 62:3420-3429. [PMID: 34380369 DOI: 10.1080/10428194.2021.1964021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
MYC rearrangements (MYCr) occur in several B-cell neoplasms and impact disease progression and overall survival. We used whole genome sequencing (WGS) and whole transcriptome sequencing (WTS) to analyze and compare MYCr in different B-cell neoplasms. The MYCr features of cases with plasma cell myeloma (PCM) (n = 88) showed distinct characteristics compared to cases with mature B-cell lymphomas (n = 62, including Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL) and high grade lymphoma with MYC and BCL2 and/or BCL6 rearrangements (HGBL)): they were more complex and showed a wider variety of translocation partners and breakpoints. Additionally, unlike B-cell lymphomas, they showed no evidence of activation-induced deaminase (AID) involvement in the formation of MYCr with immunoglobolin heavy chain (IGH), indicating a different mechanism of origin. The different MYCr characteristics resulted in poor MYCr detection rates by fluorescence in situ hybridization of only 50% in PCM, compared to 94% in lymphoma.
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33
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Kriegova E, Fillerova R, Minarik J, Savara J, Manakova J, Petrackova A, Dihel M, Balcarkova J, Krhovska P, Pika T, Gajdos P, Behalek M, Vasinek M, Papajik T. Whole-genome optical mapping of bone-marrow myeloma cells reveals association of extramedullary multiple myeloma with chromosome 1 abnormalities. Sci Rep 2021; 11:14671. [PMID: 34282158 PMCID: PMC8289962 DOI: 10.1038/s41598-021-93835-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 06/24/2021] [Indexed: 11/18/2022] Open
Abstract
Extramedullary disease (EMM) represents a rare, aggressive and mostly resistant phenotype of multiple myeloma (MM). EMM is frequently associated with high-risk cytogenetics, but their complex genomic architecture is largely unexplored. We used whole-genome optical mapping (Saphyr, Bionano Genomics) to analyse the genomic architecture of CD138+ cells isolated from bone-marrow aspirates from an unselected cohort of newly diagnosed patients with EMM (n = 4) and intramedullary MM (n = 7). Large intrachromosomal rearrangements (> 5 Mbp) within chromosome 1 were detected in all EMM samples. These rearrangements, predominantly deletions with/without inversions, encompassed hundreds of genes and led to changes in the gene copy number on large regions of chromosome 1. Compared with intramedullary MM, EMM was characterised by more deletions (size range of 500 bp–50 kbp) and fewer interchromosomal translocations, and two EMM samples had copy number loss in the 17p13 region. Widespread genomic heterogeneity and novel aberrations in the high-risk IGH/IGK/IGL, 8q24 and 13q14 regions were detected in individual patients but were not specific to EMM/MM. Our pilot study revealed an association of chromosome 1 abnormalities in bone marrow myeloma cells with extramedullary progression. Optical mapping showed the potential for refining the complex genomic architecture in MM and its phenotypes.
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Affiliation(s)
- Eva Kriegova
- Department of Immunology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 779 00, Olomouc, Czech Republic.
| | - Regina Fillerova
- Department of Immunology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 779 00, Olomouc, Czech Republic
| | - Jiri Minarik
- Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Olomouc, Czech Republic
| | - Jakub Savara
- Department of Immunology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 779 00, Olomouc, Czech Republic.,Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava, Czech Republic
| | - Jirina Manakova
- Department of Immunology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 779 00, Olomouc, Czech Republic
| | - Anna Petrackova
- Department of Immunology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 779 00, Olomouc, Czech Republic
| | - Martin Dihel
- Department of Immunology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 779 00, Olomouc, Czech Republic
| | - Jana Balcarkova
- Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Olomouc, Czech Republic
| | - Petra Krhovska
- Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Olomouc, Czech Republic
| | - Tomas Pika
- Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Olomouc, Czech Republic
| | - Petr Gajdos
- Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava, Czech Republic
| | - Marek Behalek
- Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava, Czech Republic
| | - Michal Vasinek
- Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava, Czech Republic
| | - Tomas Papajik
- Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Olomouc, Czech Republic
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34
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Kasprzyk ME, Sura W, Dzikiewicz-Krawczyk A. Enhancing B-Cell Malignancies-On Repurposing Enhancer Activity towards Cancer. Cancers (Basel) 2021; 13:3270. [PMID: 34210001 PMCID: PMC8269369 DOI: 10.3390/cancers13133270] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/24/2021] [Accepted: 06/28/2021] [Indexed: 01/19/2023] Open
Abstract
B-cell lymphomas and leukemias derive from B cells at various stages of maturation and are the 6th most common cancer-related cause of death. While the role of several oncogenes and tumor suppressors in the pathogenesis of B-cell neoplasms was established, recent research indicated the involvement of non-coding, regulatory sequences. Enhancers are DNA elements controlling gene expression in a cell type- and developmental stage-specific manner. They ensure proper differentiation and maturation of B cells, resulting in production of high affinity antibodies. However, the activity of enhancers can be redirected, setting B cells on the path towards cancer. In this review we discuss different mechanisms through which enhancers are exploited in malignant B cells, from the well-studied translocations juxtaposing oncogenes to immunoglobulin loci, through enhancer dysregulation by sequence variants and mutations, to enhancer hijacking by viruses. We also highlight the potential of therapeutic targeting of enhancers as a direction for future investigation.
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35
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Perini T, Materozzi M, Milan E. The Immunity-malignancy equilibrium in multiple myeloma: lessons from oncogenic events in plasma cells. FEBS J 2021; 289:4383-4397. [PMID: 34117720 DOI: 10.1111/febs.16068] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/13/2021] [Accepted: 06/10/2021] [Indexed: 11/29/2022]
Abstract
Multiple myeloma (MM) is a malignancy of plasma cells (PC) that grow within the bone marrow and maintain massive immunoglobulin (Ig) production. Disease evolution is driven by genetic lesions, whose effects on cell biology and fitness underlie addictions and vulnerabilities of myeloma cells. Several genes mutated in myeloma are strictly involved in dictating PC identity and antibody factory function. Here, we evaluate the impact of mutations in IRF4, PRDM1, and XBP1, essential transcription factors driving the B to PC differentiation, on MM cell biology and homeostasis. These factors are highly specialized, with limited overlap in their downstream transcriptional programs. Indeed, IRF4 sustains metabolism, survival, and proliferation, while PRDM1 and XBP1 are mainly responsible for endoplasmic reticulum expansion and sustained Ig secretion. Interestingly, IRF4 undergoes activating mutations and translocations, while PRDM1 and XBP1 are hit by loss-of-function events, raising the hypothesis that containment of the secretory program, but not its complete extinction, may be beneficial to malignant PCs. Finally, recent studies unveiled that also the PRDM1 target, FAM46C/TENT5C, an onco-suppressor uniquely and frequently mutated or deleted in myeloma, is directly and potently involved in orchestrating ER homeostasis and secretory activity. Inactivating mutations found in this gene and its interactors strengthen the notion that reduced secretory capacity confers advantage to myeloma cells. We believe that dissection of the evolutionary pressure on genes driving PC-specific functions in myeloma will disclose the cellular strategies by which myeloma cells maintain an equilibrium between antibody production and survival, thus unveiling novel therapeutic targets.
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Affiliation(s)
- Tommaso Perini
- Age related Diseases Unit, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy.,University Vita-Salute San Raffaele, Milano, Italy.,Hematology and Bone Marrow Transplantation Unit, San Raffaele Scientific Institute, Milano, Italy
| | - Maria Materozzi
- Age related Diseases Unit, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy.,Department of Medicine, Surgery and Neurosciences, University of Siena, Italy
| | - Enrico Milan
- Age related Diseases Unit, Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy.,University Vita-Salute San Raffaele, Milano, Italy
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36
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Ghorbani A, Quinlan EM, Larijani M. Evolutionary Comparative Analyses of DNA-Editing Enzymes of the Immune System: From 5-Dimensional Description of Protein Structures to Immunological Insights and Applications to Protein Engineering. Front Immunol 2021; 12:642343. [PMID: 34135887 PMCID: PMC8201067 DOI: 10.3389/fimmu.2021.642343] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 04/06/2021] [Indexed: 01/02/2023] Open
Abstract
The immune system is unique among all biological sub-systems in its usage of DNA-editing enzymes to introduce targeted gene mutations and double-strand DNA breaks to diversify antigen receptor genes and combat viral infections. These processes, initiated by specific DNA-editing enzymes, often result in mistargeted induction of genome lesions that initiate and drive cancers. Like other molecules involved in human health and disease, the DNA-editing enzymes of the immune system have been intensively studied in humans and mice, with little attention paid (< 1% of published studies) to the same enzymes in evolutionarily distant species. Here, we present a systematic review of the literature on the characterization of one such DNA-editing enzyme, activation-induced cytidine deaminase (AID), from an evolutionary comparative perspective. The central thesis of this review is that although the evolutionary comparative approach represents a minuscule fraction of published works on this and other DNA-editing enzymes, this approach has made significant impacts across the fields of structural biology, immunology, and cancer research. Using AID as an example, we highlight the value of the evolutionary comparative approach in discoveries already made, and in the context of emerging directions in immunology and protein engineering. We introduce the concept of 5-dimensional (5D) description of protein structures, a more nuanced view of a structure that is made possible by evolutionary comparative studies. In this higher dimensional view of a protein's structure, the classical 3-dimensional (3D) structure is integrated in the context of real-time conformations and evolutionary time shifts (4th dimension) and the relevance of these dynamics to its biological function (5th dimension).
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Affiliation(s)
- Atefeh Ghorbani
- Program in Immunology and Infectious Diseases, Department of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
- Department of Molecular Biology and Biochemistry, Faculty of Science, Simon Fraser University, Burnaby, BC, Canada
| | - Emma M. Quinlan
- Program in Immunology and Infectious Diseases, Department of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - Mani Larijani
- Program in Immunology and Infectious Diseases, Department of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
- Department of Molecular Biology and Biochemistry, Faculty of Science, Simon Fraser University, Burnaby, BC, Canada
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37
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Azami Y, Tsuyama N, Abe Y, Sugai-Takahashi M, Kudo KI, Ota A, Sivasundaram K, Muramatsu M, Shigemura T, Sasatani M, Hashimoto Y, Saji S, Kamiya K, Hanamura I, Ikezoe T, Onodera M, Sakai A. Chromosomal translocation t(11;14) and p53 deletion induced by the CRISPR/Cas9 system in normal B cell-derived iPS cells. Sci Rep 2021; 11:5216. [PMID: 33664418 PMCID: PMC7933289 DOI: 10.1038/s41598-021-84628-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/18/2021] [Indexed: 01/31/2023] Open
Abstract
Multiple myeloma (MM) cells are derived from mature B cells based on immunoglobulin heavy chain (IgH) gene analysis. The onset of MM is often caused by a reciprocal chromosomal translocation (cTr) between chr 14 with IgH and chr 11 with CCND1. We propose that mature B cells gain potential to transform by reprograming, and then chromosomal aberrations cause the development of abnormal B cells as a myeloma-initiating cell during B cell redifferentiation. To study myeloma-initiating cells, we have already established normal B cell-derived induced pluripotent stem cells (BiPSCs). Here we established two BiPSCs with reciprocal cTr t(11;14) using the CRISPR/Cas9 system; the cleavage site were located in the IgH Eμ region of either the VDJ rearranged allele or non-rearranged allele of IgH and the 5'-upsteam region of the CCND1 (two types of BiPSC13 with t(11;14) and MIB2-6 with t(11;14)). Furthermore, p53 was deleted using the CRISPR/Cas9 system in BiPSC13 with t(11;14). These BiPSCs differentiated into hematopoietic progenitor cells (HPCs). However, unlike cord blood, those HPCs did not differentiated into B lymphocytes by co-culture with BM stromal cell. Therefore, further ingenuity is required to differentiate those BiPSCs-derived HPCs into B lymphocytes.
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Affiliation(s)
- Yusuke Azami
- Department of Medical Oncology, Fukushima Medical University School of Medicine, Fukushima, 960-1295, Japan
| | - Naohiro Tsuyama
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Yu Abe
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Misaki Sugai-Takahashi
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Ken-Ichi Kudo
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Akinobu Ota
- Department of Hematology, Aichi Medical University School of Medicine, Nagakute, 480-1195, Japan
| | - Karnan Sivasundaram
- Department of Hematology, Aichi Medical University School of Medicine, Nagakute, 480-1195, Japan
| | - Moe Muramatsu
- Department of Diagnostic Pathology, Fukushima Medical University School of Medicine, Fukushima, 960-1295, Japan
| | - Tomonari Shigemura
- Department of Pediatrics, Shinshu University, Matsumoto, 390-8621, Japan
| | - Megumi Sasatani
- Department of Experimental Oncology, RIRBM, Hiroshima University, Hiroshima, 734-8553, Japan
| | - Yuko Hashimoto
- Department of Diagnostic Pathology, Fukushima Medical University School of Medicine, Fukushima, 960-1295, Japan
| | - Shigehira Saji
- Department of Medical Oncology, Fukushima Medical University School of Medicine, Fukushima, 960-1295, Japan
| | - Kenji Kamiya
- Department of Experimental Oncology, RIRBM, Hiroshima University, Hiroshima, 734-8553, Japan
| | - Ichiro Hanamura
- Department of Hematology, Aichi Medical University School of Medicine, Nagakute, 480-1195, Japan
| | - Takayuki Ikezoe
- Department of Hematology, Fukushima Medical University School of Medicine, Fukushima, 960-1295, Japan
| | - Masafumi Onodera
- Department of Genetics, National Research Institute for Child Health, Development, Tokyo, 157-8535, Japan
| | - Akira Sakai
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
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Zito Marino F, Brunelli M, Rossi G, Calabrese G, Caliò A, Nardiello P, Martignoni G, Squire JA, Cheng L, Massi D, Franco R. Multitarget fluorescence in situ hybridization diagnostic applications in solid and hematological tumors. Expert Rev Mol Diagn 2021; 21:161-173. [PMID: 33593207 DOI: 10.1080/14737159.2021.1887733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Introduction: Multitarget FISH (mFISH) is a technique allowing for simultaneous detection of multiple targets sequences on the same slide through the choice of spectrally distinct fluorophore labels. The mFISH could represent a useful tool in the field of precision oncology.Areas covered: This review discusses the potential applications of mFISH technology in the molecular diagnosis of different solid and hematological tumors, including non-small cell lung cancers, melanomas, renal cell carcinomas, bladder carcinomas, germ cell tumors, and multiple myeloma, as commonly required in the clinical practice.Expert Opinion: In this emerging era of the tailored therapies and newer histo-molecular classifications, there are increasing numbers of predictive and diagnostic biomarkers required for effective clinical care. The mFISH approach may have several applications in the common clinical practice, improving the molecular diagnosis in terms of time, cost and preservation of biomaterial for tumors with a limited amount of tumor available. The mFISH provides several advantages compared to other high-throughput technologies; however, it requires high level of expertise required to interpret complex results.
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Affiliation(s)
- Federica Zito Marino
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Napoli, Italy
| | - Matteo Brunelli
- Department of Pathology, University of Verona, Verona, Italy
| | - Giulio Rossi
- Pathology Unit, Ospedale Santa Maria Delle Croci, Ravenna, Italy
| | | | - Anna Caliò
- Department of Pathology, University of Verona, Verona, Italy
| | - Pamela Nardiello
- Section of Pathology, Department of Health Sciences, University of Florence Florence, Italy
| | - Guido Martignoni
- Pathology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Jeremy A Squire
- Departments of Genetics, University of Sao Paulo, Ribeirão Preto, Brazil
| | - Liang Cheng
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Daniela Massi
- Section of Pathology, Department of Health Sciences, University of Florence Florence, Italy
| | - Renato Franco
- Department of Mental and Physic Health and Preventive Medicine, Pathology Unit, University of Campania Luigi Vanvitelli, Napoli, Italy
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Cardona-Benavides IJ, de Ramón C, Gutiérrez NC. Genetic Abnormalities in Multiple Myeloma: Prognostic and Therapeutic Implications. Cells 2021; 10:336. [PMID: 33562668 PMCID: PMC7914805 DOI: 10.3390/cells10020336] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 01/28/2021] [Accepted: 02/01/2021] [Indexed: 12/13/2022] Open
Abstract
Some genetic abnormalities of multiple myeloma (MM) detected more than two decades ago remain major prognostic factors. In recent years, the introduction of cutting-edge genomic methodologies has enabled the extensive deciphering of genomic events in MM. Although none of the alterations newly discovered have significantly improved the stratification of the outcome of patients with MM, some of them, point mutations in particular, are promising targets for the development of personalized medicine. This review summarizes the main genetic abnormalities described in MM together with their prognostic impact, and the therapeutic approaches potentially aimed at abrogating the undesirable pathogenic effect of each alteration.
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Affiliation(s)
- Ignacio J. Cardona-Benavides
- Hematology Department, University Hospital, Institute of Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, 37007 Salamanca, Spain; (I.J.C.-B.); (C.d.R.)
- Cancer Research Center-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Cristina de Ramón
- Hematology Department, University Hospital, Institute of Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, 37007 Salamanca, Spain; (I.J.C.-B.); (C.d.R.)
- Cancer Research Center-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Norma C. Gutiérrez
- Hematology Department, University Hospital, Institute of Biomedical Research of Salamanca (IBSAL), University Hospital of Salamanca, 37007 Salamanca, Spain; (I.J.C.-B.); (C.d.R.)
- Cancer Research Center-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Spain
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40
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Prognosis of young patients with monoclonal gammopathy of undetermined significance (MGUS). Blood Cancer J 2021; 11:26. [PMID: 33563898 PMCID: PMC7873268 DOI: 10.1038/s41408-021-00406-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Accepted: 10/28/2020] [Indexed: 12/17/2022] Open
Abstract
Monoclonal gammopathy of undetermined significance (MGUS) is rare in young patients (age <40 years at diagnosis), with a prevalence of <0.3%, representing ~2% of all patients with MGUS. We hypothesized that MGUS detected in young patients may be associated with a higher risk of progression. We examined 249 patients with MGUS < 40 years old. Among these, 135 patients had immune-related conditions, including infections, autoimmune and inflammatory disorders at the time of diagnosis of MGUS. The risk of progression to multiple myeloma or a related disorder at 5 years and 10 years was 6.0% and 13.8%, respectively. The size of M protein was a significant risk factor for progression (HR 4.2, 95% CI 2.2–7.9). There was a trend that the risk of progression was higher in patients without immune-related conditions (HR 2.36, 95% CI 0.85–6.52, p = 0.088). The M protein resolved in 36 (14%) patients, with a greater likelihood of resolution in patients with immune-related conditions (RR 1.9, 95% CI 1.02–3.6). Young patients with MGUS have a similar risk of progression as older patients, 1.4% per year. Over 50% are diagnosed in the setting of immune-related disorders. Patients with immune-related disorders may have a lower risk of progression.
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41
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Boyle EM, Deshpande S, Tytarenko R, Ashby C, Wang Y, Bauer MA, Johnson SK, Wardell CP, Thanendrarajan S, Zangari M, Facon T, Dumontet C, Barlogie B, Arbini A, Rustad EH, Maura F, Landgren O, Zhan F, van Rhee F, Schinke C, Davies FE, Morgan GJ, Walker BA. The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma. Nat Commun 2021; 12:293. [PMID: 33436579 PMCID: PMC7804406 DOI: 10.1038/s41467-020-20524-2] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 12/08/2020] [Indexed: 12/28/2022] Open
Abstract
Smoldering myeloma (SMM) is associated with a high-risk of progression to myeloma (MM). We report the results of a study of 82 patients with both targeted sequencing that included a capture of the immunoglobulin and MYC regions. By comparing these results to newly diagnosed myeloma (MM) we show fewer NRAS and FAM46C mutations together with fewer adverse translocations, del(1p), del(14q), del(16q), and del(17p) in SMM consistent with their role as drivers of the transition to MM. KRAS mutations are associated with a shorter time to progression (HR 3.5 (1.5–8.1), p = 0.001). In an analysis of change in clonal structure over time we studied 53 samples from nine patients at multiple time points. Branching evolutionary patterns, novel mutations, biallelic hits in crucial tumour suppressor genes, and segmental copy number changes are key mechanisms underlying the transition to MM, which can precede progression and be used to guide early intervention strategies. Progression from asymptomatic smoldering multiple myeloma (SMM) to symptomatic Multiple Myeloma occurs at different rates in different patients. Here, the authors report fewer NRAS and FAM46C mutations and adverse translocations in SMM compared to MM, while KRAS mutations are associated with a shorter time to progression.
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Affiliation(s)
- Eileen M Boyle
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,INSERM 1052/CNRS 5286 Cancer Research Center of Lyon, Lyon, France.,Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Shayu Deshpande
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Ruslana Tytarenko
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Cody Ashby
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Yan Wang
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Michael A Bauer
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Sarah K Johnson
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Christopher P Wardell
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Maurizio Zangari
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Thierry Facon
- Service des maladies du sang. Hôpital Claude Huriez, Lille University Hospital, Lille, France
| | - Charles Dumontet
- INSERM 1052/CNRS 5286 Cancer Research Center of Lyon, Lyon, France
| | - Bart Barlogie
- Division of Hematology, The Mount Sinai Hospital, New York, NY, USA
| | - Arnaldo Arbini
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Even H Rustad
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Francesco Maura
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fenghuang Zhan
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Frits van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Faith E Davies
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Gareth J Morgan
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
| | - Brian A Walker
- Division of Hematology Oncology, Indiana University, Indianapolis, IN, USA.
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Hanamura I. Gain/Amplification of Chromosome Arm 1q21 in Multiple Myeloma. Cancers (Basel) 2021; 13:cancers13020256. [PMID: 33445467 PMCID: PMC7827173 DOI: 10.3390/cancers13020256] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/07/2021] [Accepted: 01/09/2021] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Multiple myeloma (MM), a plasma cell neoplasm, is an incurable hematological malignancy. Gain/amplification of chromosome arm 1q21 (1q21+) is the most common adverse genomic abnormality associated with disease progression and drug resistance. While possible mechanisms of 1q21+ occurrence and candidate genes in the 1q21 amplicon have been suggested, the precise pathogenesis of MM with 1q21+ is unknown. Herein, we review the current knowledge about the clinicopathological features of 1q21+ MM, which can assist in effective therapeutic approaches for MM patients with 1q21+. Abstract Multiple myeloma (MM), a plasma cell neoplasm, is an incurable hematological malignancy characterized by complex genetic and prognostic heterogeneity. Gain or amplification of chromosome arm 1q21 (1q21+) is the most frequent adverse chromosomal aberration in MM, occurring in 40% of patients at diagnosis. It occurs in a subclone of the tumor as a secondary genomic event and is more amplified as the tumor progresses and a risk factor for the progression from smoldering multiple myeloma to MM. It can be divided into either 1q21 gain (3 copies) or 1q21 amplification (≥4 copies), and it has been suggested that the prognosis is worse in cases of amplification than gain. Trisomy of chromosome 1, jumping whole-arm translocations of chromosome1q, and tandem duplications lead to 1q21+ suggesting that its occurrence is not consistent at the genomic level. Many studies have reported that genes associated with the malignant phenotype of MM are situated on the 1q21 amplicon, including CKS1B, PSMD4, MCL1, ANP32E, and others. In this paper, we review the current knowledge regarding the clinical features, prognostic implications, and the speculated pathology of 1q21+ in MM, which can provide clues for an effective treatment approach to MM patients with 1q21+.
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Affiliation(s)
- Ichiro Hanamura
- Division of Hematology, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1, Karimata, Yazako, Nagakute, Aichi 480-1195, Japan
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43
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Current Understanding of Myelomatous Mesenchymal Stromal Cells Extended through Advances in Experimental Methods. Cancers (Basel) 2020; 13:cancers13010025. [PMID: 33374627 PMCID: PMC7793501 DOI: 10.3390/cancers13010025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 12/20/2020] [Accepted: 12/21/2020] [Indexed: 01/03/2023] Open
Abstract
Simple Summary As the amount of information available has grown, now it is known that many types of non-hematopoietic cells, including mesenchymal stem/progenitor cells, mature mesenchymal cells, and endothelial cells, as well as mature hematopoietic cells such as monocytes, macrophages, T-cells, and B-cells, have roles in the pathogenesis of multiple myeloma. This review focuses on the role of mesenchymal cells in the microenvironment of multiple myeloma. We summarize the experimental strategies and current understanding of the biological roles in the pathogenesis of myeloma. Furthermore, we discuss the possible clinical applications targeting mesenchymal cells. Abstract Multiple myeloma is an incurable cancer formed by malignant plasma cells. For the proliferation and survival of myeloma cells, as well as the occurrence of the complications, numerous intra- and extra-cellular mechanisms are involved. The interaction of myeloma cells with the microenvironment is known to be one of the most critical mechanisms. A specific microenvironment could affect the progression and growth of tumor cells, as well as drug resistance. Among various microenvironment components, such as hematological and non-hematological cells, and soluble factors (cytokines, chemokines, and extracellular matrix (ECM) proteins), in this review, we focus on the role of mesenchymal cells. We aimed to summarize the experimental strategies used for conducting studies and current understanding of the biological roles in the pathogenesis of myeloma. Furthermore, we discuss the possible clinical applications targeting mesenchymal cells.
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44
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Da Vià MC, Ziccheddu B, Maeda A, Bagnoli F, Perrone G, Bolli N. A Journey Through Myeloma Evolution: From the Normal Plasma Cell to Disease Complexity. Hemasphere 2020; 4:e502. [PMID: 33283171 PMCID: PMC7710229 DOI: 10.1097/hs9.0000000000000502] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 10/19/2020] [Indexed: 02/06/2023] Open
Abstract
The knowledge of cancer origin and the subsequent tracking of disease evolution represent unmet needs that will soon be within clinical reach. This will provide the opportunity to improve patient's stratification and to personalize treatments based on cancer biology along its life history. In this review, we focus on the molecular pathogenesis of multiple myeloma (MM), a hematologic malignancy with a well-known multi-stage disease course, where such approach can sooner translate into a clinical benefit. We describe novel insights into modes and timing of disease initiation. We dissect the biology of the preclinical and pre-malignant phases, elucidating how knowledge of the genomics of the disease and the composition of the microenvironment allow stratification of patients based on risk of disease progression. Then, we explore cell-intrinsic and cell-extrinsic drivers of MM evolution to symptomatic disease. Finally, we discuss how this may relate to the development of refractory disease after treatment. By integrating an evolutionary view of myeloma biology with the recent acquisitions on its clonal heterogeneity, we envision a way to drive the clinical management of the disease based on its detailed biological features more than surrogates of disease burden.
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Affiliation(s)
- Matteo C. Da Vià
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Bachisio Ziccheddu
- Department of Molecular Biotechnologies and Health Sciences, University of Turin, Turin, Italy
| | - Akihiro Maeda
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Filippo Bagnoli
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Department of Clinical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giulia Perrone
- Department of Clinical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Niccolò Bolli
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Department of Clinical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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45
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Rustad EH, Yellapantula VD, Glodzik D, Maclachlan KH, Diamond B, Boyle EM, Ashby C, Blaney P, Gundem G, Hultcrantz M, Leongamornlert D, Angelopoulos N, Agnelli L, Auclair D, Zhang Y, Dogan A, Bolli N, Papaemmanuil E, Anderson KC, Moreau P, Avet-Loiseau H, Munshi NC, Keats JJ, Campbell PJ, Morgan GJ, Landgren O, Maura F. Revealing the impact of structural variants in multiple myeloma. Blood Cancer Discov 2020; 1:258-273. [PMID: 33392515 PMCID: PMC7774871 DOI: 10.1158/2643-3230.bcd-20-0132] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 08/26/2020] [Accepted: 09/10/2020] [Indexed: 02/07/2023] Open
Abstract
The landscape of structural variants (SVs) in multiple myeloma remains poorly understood. Here, we performed comprehensive analysis of SVs in a large cohort of 752 multiple myeloma patients by low coverage long-insert whole genome sequencing. We identified 68 SV hotspots involving 17 new candidate driver genes, including the therapeutic targets BCMA (TNFRSF17), SLAMF and MCL1. Catastrophic complex rearrangements termed chromothripsis were present in 24% of patients and independently associated with poor clinical outcomes. Templated insertions were the second most frequent complex event (19%), mostly involved in super-enhancer hijacking and activation of oncogenes such as CCND1 and MYC. Importantly, in 31% of patients two or more seemingly independent putative driver events were caused by a single structural event, demonstrating that the complex genomic landscape of multiple myeloma can be acquired through few key events during tumor evolutionary history. Overall, this study reveals the critical role of SVs in multiple myeloma pathogenesis.
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Affiliation(s)
- Even H Rustad
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Venkata D Yellapantula
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Dominik Glodzik
- Epidemiology & Biostatistics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kylee H Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Benjamin Diamond
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Cody Ashby
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | | | - Gunes Gundem
- Epidemiology & Biostatistics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Daniel Leongamornlert
- The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | - Nicos Angelopoulos
- The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
- School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom
| | - Luca Agnelli
- Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Daniel Auclair
- Multiple Myeloma Research Foundation (MMRF), Norwalk, Connecticut
| | - Yanming Zhang
- Cytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ahmet Dogan
- Hematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Niccolò Bolli
- Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy
- Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elli Papaemmanuil
- Epidemiology & Biostatistics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kenneth C Anderson
- Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Philippe Moreau
- CRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, Nantes, France
| | | | - Nikhil C Munshi
- Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- Veterans Administration Boston Healthcare System, West Roxbury, Massachusetts
| | - Jonathan J Keats
- Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Peter J Campbell
- The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, Cambridgeshire, United Kingdom
| | | | - Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Francesco Maura
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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Nadeu F, Martin-Garcia D, Clot G, Díaz-Navarro A, Duran-Ferrer M, Navarro A, Vilarrasa-Blasi R, Kulis M, Royo R, Gutiérrez-Abril J, Valdés-Mas R, López C, Chapaprieta V, Puiggros M, Castellano G, Costa D, Aymerich M, Jares P, Espinet B, Muntañola A, Ribera-Cortada I, Siebert R, Colomer D, Torrents D, Gine E, López-Guillermo A, Küppers R, Martin-Subero JI, Puente XS, Beà S, Campo E. Genomic and epigenomic insights into the origin, pathogenesis, and clinical behavior of mantle cell lymphoma subtypes. Blood 2020; 136:1419-1432. [PMID: 32584970 PMCID: PMC7498364 DOI: 10.1182/blood.2020005289] [Citation(s) in RCA: 117] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 04/14/2020] [Indexed: 01/03/2023] Open
Abstract
Mantle cell lymphoma (MCL) is a mature B-cell neoplasm initially driven by CCND1 rearrangement with 2 molecular subtypes, conventional MCL (cMCL) and leukemic non-nodal MCL (nnMCL), that differ in their clinicobiological behavior. To identify the genetic and epigenetic alterations determining this diversity, we used whole-genome (n = 61) and exome (n = 21) sequencing (74% cMCL, 26% nnMCL) combined with transcriptome and DNA methylation profiles in the context of 5 MCL reference epigenomes. We identified that open and active chromatin at the major translocation cluster locus might facilitate the t(11;14)(q13;32), which modifies the 3-dimensional structure of the involved regions. This translocation is mainly acquired in precursor B cells mediated by recombination-activating genes in both MCL subtypes, whereas in 8% of cases the translocation occurs in mature B cells mediated by activation-induced cytidine deaminase. We identified novel recurrent MCL drivers, including CDKN1B, SAMHD1, BCOR, SYNE1, HNRNPH1, SMARCB1, and DAZAP1. Complex structural alterations emerge as a relevant early oncogenic mechanism in MCL, targeting key driver genes. Breakage-fusion-bridge cycles and translocations activated oncogenes (BMI1, MIR17HG, TERT, MYC, and MYCN), generating gene amplifications and remodeling regulatory regions. cMCL carried significant higher numbers of structural variants, copy number alterations, and driver changes than nnMCL, with exclusive alterations of ATM in cMCL, whereas TP53 and TERT alterations were slightly enriched in nnMCL. Several drivers had prognostic impact, but only TP53 and MYC aberrations added value independently of genomic complexity. An increasing genomic complexity, together with the presence of breakage-fusion-bridge cycles and high DNA methylation changes related to the proliferative cell history, defines patients with different clinical evolution.
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Affiliation(s)
- Ferran Nadeu
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - David Martin-Garcia
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - Guillem Clot
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - Ander Díaz-Navarro
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Martí Duran-Ferrer
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Alba Navarro
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - Roser Vilarrasa-Blasi
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Marta Kulis
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Romina Royo
- Barcelona Supercomputing Center, Barcelona, Spain
| | - Jesús Gutiérrez-Abril
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Rafael Valdés-Mas
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Cristina López
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Vicente Chapaprieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | | | | | | | - Marta Aymerich
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- Hospital Clínic of Barcelona, Barcelona, Spain
| | - Pedro Jares
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Hospital Clínic of Barcelona, Barcelona, Spain
- Departament de Fonaments Clinics, Universitat de Barcelona, Barcelona, Spain
| | - Blanca Espinet
- Laboratori de Citogenètica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
| | - Ana Muntañola
- Servei d'Hematologia, Hospital Mútua de Terrassa, Terrassa, Spain
| | - Inmaculada Ribera-Cortada
- Hospital Clínic of Barcelona, Barcelona, Spain
- Hospital Nostra Senyora de Meritxell, Escaldes-Engordany, Andorra la Vella, Andorra
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Dolors Colomer
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- Hospital Clínic of Barcelona, Barcelona, Spain
- Departament de Fonaments Clinics, Universitat de Barcelona, Barcelona, Spain
| | | | - Eva Gine
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- Hospital Clínic of Barcelona, Barcelona, Spain
| | - Armando López-Guillermo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- Hospital Clínic of Barcelona, Barcelona, Spain
- Departament de Fonaments Clinics, Universitat de Barcelona, Barcelona, Spain
| | - Ralf Küppers
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Essen, Germany
- German Consortium for Cancer Research, Heidelberg, Germany; and
| | - Jose I Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- Departament de Fonaments Clinics, Universitat de Barcelona, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - Xose S Puente
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Sílvia Beà
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- Hospital Clínic of Barcelona, Barcelona, Spain
- Departament de Fonaments Clinics, Universitat de Barcelona, Barcelona, Spain
| | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- Hospital Clínic of Barcelona, Barcelona, Spain
- Departament de Fonaments Clinics, Universitat de Barcelona, Barcelona, Spain
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47
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Baseline VDJ clonotype detection using a targeted sequencing NGS assay: allowing for subsequent MRD assessment. Blood Cancer J 2020; 10:76. [PMID: 32699232 PMCID: PMC7376205 DOI: 10.1038/s41408-020-00343-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/24/2020] [Accepted: 04/30/2020] [Indexed: 12/27/2022] Open
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48
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Alagpulinsa DA, Szalat RE, Poznansky MC, Shmookler Reis RJ. Genomic Instability in Multiple Myeloma. Trends Cancer 2020; 6:858-873. [PMID: 32487486 DOI: 10.1016/j.trecan.2020.05.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 04/30/2020] [Accepted: 05/12/2020] [Indexed: 12/18/2022]
Abstract
Genomic instability (GIN), an increased tendency to acquire genomic alterations, is a cancer hallmark. However, its frequency, underlying causes, and disease relevance vary across different cancers. Multiple myeloma (MM), a plasma cell malignancy, evolves through premalignant phases characterized by genomic abnormalities. Next-generation sequencing (NGS) methods are deconstructing the genomic landscape of MM across the continuum of its development, inextricably linking malignant transformation and disease progression with increasing acquisition of genomic alterations, and illuminating the mechanisms that generate these alterations. Although GIN drives disease evolution, it also creates vulnerabilities such as dependencies on 'superfluous' repair mechanisms and the induction of tumor-specific antigens that can be targeted. We review the mechanisms of GIN in MM, the associated vulnerabilities, and therapeutic targeting strategies.
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Affiliation(s)
- David A Alagpulinsa
- Vaccine and Immunotherapy Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA.
| | - Raphael E Szalat
- Department of Medical Oncology, Dana Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA; Department of Medical Oncology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Mark C Poznansky
- Vaccine and Immunotherapy Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
| | - Robert J Shmookler Reis
- Central Arkansas Veterans Healthcare Service, Little Rock, AR 72205, USA; Department of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
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49
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Evolution and structure of clinically relevant gene fusions in multiple myeloma. Nat Commun 2020; 11:2666. [PMID: 32471990 PMCID: PMC7260243 DOI: 10.1038/s41467-020-16434-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 04/27/2020] [Indexed: 12/19/2022] Open
Abstract
Multiple myeloma is a plasma cell blood cancer with frequent chromosomal translocations leading to gene fusions. To determine the clinical relevance of fusion events, we detect gene fusions from a cohort of 742 patients from the Multiple Myeloma Research Foundation CoMMpass Study. Patients with multiple clinic visits enable us to track tumor and fusion evolution, and cases with matching peripheral blood and bone marrow samples allow us to evaluate the concordance of fusion calls in patients with high tumor burden. We examine the joint upregulation of WHSC1 and FGFR3 in samples with t(4;14)-related fusions, and we illustrate a method for detecting fusions from single cell RNA-seq. We report fusions at MYC and a neighboring gene, PVT1, which are related to MYC translocations and associated with divergent progression-free survival patterns. Finally, we find that 4% of patients may be eligible for targeted fusion therapies, including three with an NTRK1 fusion. Multiple myeloma is characterised by frequent gene fusions. Here, the authors use data from the Multiple Myeloma Research Foundation CoMMpass Study to further investigate fusion genes in this disease and their clinical relevance.
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50
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Kanamori T, Sanada M, Ri M, Ueno H, Nishijima D, Yasuda T, Tachita T, Narita T, Kusumoto S, Inagaki A, Ishihara R, Murakami Y, Kobayashi N, Shiozawa Y, Yoshida K, Nakagawa MM, Nannya Y, Shiraishi Y, Chiba K, Tanaka H, Miyano S, Horibe K, Handa H, Ogawa S, Iida S. Genomic analysis of multiple myeloma using targeted capture sequencing in the Japanese cohort. Br J Haematol 2020; 191:755-763. [PMID: 32386081 DOI: 10.1111/bjh.16720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 04/10/2020] [Accepted: 04/13/2020] [Indexed: 11/29/2022]
Abstract
Previous genomic studies have revealed the genomic landscape of myeloma cells. Although some of the genomic abnormalities shown are believed to be correlated to the molecular pathogenesis of multiple myeloma and/or clinical outcome, these correlations are not fully understood. The aim of this study is to elucidate the correlation between genomic abnormalities and clinical characteristics by targeted capture sequencing in the Japanese multiple myeloma cohort. We analysed 154 patients with newly diagnosed multiple myeloma. The analysis revealed that the study cohort consisted of a less frequent hyperdiploid subtype (37·0%) with relatively high frequencies of KRAS mutation (36·4%) and IGH-CCND1 translocation (26·6%) compared with previous reports. Moreover, our targeted capture sequencing strategy was able to detect rare IGH-associated chromosomal translocations, such as IGH-CCND2 and IGH-MAFA. Interestingly, all 10 patients harboured MAX mutations accompanied by 14q23 deletion. The patients with del(17p) exhibited an unfavourable clinical outcome, and the presence of KRAS mutation was associated with shorter survival in patients with multiple myeloma, harbouring IGH-CCND1. Thus, our study provides a detailed landscape of genomic abnormalities, which may have potential clinical application for patients with multiple myeloma.
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Affiliation(s)
- Takashi Kanamori
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan.,Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Masashi Sanada
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Masaki Ri
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
| | - Hiroo Ueno
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Dai Nishijima
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Takahiko Yasuda
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Takuto Tachita
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
| | - Tomoko Narita
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
| | - Shigeru Kusumoto
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
| | - Atsushi Inagaki
- Department of Hematology and Oncology, Nagoya City West Medical Center, Japan
| | - Rei Ishihara
- Department of Laboratory Science, Gunma University Graduate School of Health Science, Japan
| | - Yuki Murakami
- Department of Laboratory Science, Gunma University Graduate School of Health Science, Japan
| | - Nobuhiko Kobayashi
- Department of Hematology, Gunma University Graduate School of Medicine, Japan
| | - Yusuke Shiozawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.,Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, Japan
| | - Kenichi Yoshida
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | | | - Yasuhito Nannya
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Yuichi Shiraishi
- Division of Cellular Signaling, National Cancer Center Research Institute, Japan
| | - Kenichi Chiba
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan
| | - Hiroko Tanaka
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan
| | - Satoru Miyano
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan
| | - Keizo Horibe
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
| | - Hiroshi Handa
- Department of Laboratory Science, Gunma University Graduate School of Health Science, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.,Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Japan
| | - Shinsuke Iida
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Japan
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