1
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Christian SL. CD24 as a Potential Therapeutic Target in Patients with B-Cell Leukemia and Lymphoma: Current Insights. Onco Targets Ther 2022; 15:1391-1402. [PMID: 36425299 PMCID: PMC9680537 DOI: 10.2147/ott.s366625] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/10/2022] [Indexed: 01/12/2024] Open
Abstract
CD24 is a highly glycosylated glycophosphatidylinositol (GPI)-anchored protein that is expressed in many types of differentiating cells and some mature cells of the immune system as well as the central nervous system. CD24 has been extensively used as a biomarker for developing B cells as its expression levels change over the course of B cell development. Functionally, engagement of CD24 induces apoptosis in developing B cells and restricts cell growth in more mature cell types. Interestingly, CD24 is also expressed on many hematological and solid tumors. As such, it has been investigated as a therapeutic target in many solid tumors including ovarian, colorectal, pancreatic, lung and others. Most of the B-cell leukemias and lymphomas studied to date express CD24 but its role as a therapeutic target in these malignancies has, thus far, been understudied. Here, I review what is known about CD24 biology with a focus on B cell development and activation followed by a brief overview of how CD24 is being targeted in solid tumors. This is followed by an assessment of the value of CD24 as a therapeutic target in B cell leukemia and lymphoma in humans, including an evaluation of the challenges in using CD24 as a target considering its pattern of expression on normal cells.
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Affiliation(s)
- Sherri L Christian
- Department of Biochemistry, Memorial University of Newfoundland, St. John’s, NL, Canada
- Beatrice Hunter Cancer Research Institute, Halifax, NS, Canada
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2
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Perkins B, Showel M, Schoch L, Imus PH, Karantanos T, Yonescu R, Morsberger L, Ghiaur G, Gladstone DE, Jones RJ. CD34+ cell of origin for immunoglobulin heavy chain variable region unmutated, but not mutated, chronic lymphocytic leukemia. Leuk Lymphoma 2022; 63:1617-1623. [DOI: 10.1080/10428194.2022.2038375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Brandy Perkins
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
| | - Margaret Showel
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
| | - Laura Schoch
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
| | - Philip H. Imus
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
| | - Theodoros Karantanos
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
| | - Raluca Yonescu
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
| | - Laura Morsberger
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
| | - Gabriel Ghiaur
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
| | - Douglas E. Gladstone
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
| | - Richard J. Jones
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, John Hopkins University, Baltimore, MD, USA
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3
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Mohammadi A, Mashayekhi K, Navashenaq JG, Haftcheshmeh SM. Curcumin as a Natural Modulator of B Lymphocytes: Evidence from In Vitro and In Vivo Studies. Mini Rev Med Chem 2022; 22:2361-2370. [DOI: 10.2174/1389557522666220304122916] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/12/2021] [Accepted: 12/22/2021] [Indexed: 11/22/2022]
Abstract
Abstract:
B cells are the only player of humoral immune responses by the production of various types of antibodies. However, B cells are also involved in the pathogenesis of several immune-mediated diseases. Moreover, different types of B cell lymphoma have also been characterized. Selective depletion of B cells by anti-CD20 and other B cell-depleting agents in the clinic can improve a wide range of immune-mediated diseases. B cells' capacity to act as cytokine-producing cells explains how they can control immune cells' activity and contribute to disease pathogenesis. Thus, researchers investigated a safe, low-cost, and effective treatment modality for targeting B cells. In this respect, curcumin, the biologically active ingredient of turmeric, has a wide range of pharmacological activities. Evidence showed that curcumin could affect various immune cells, such as monocytes and macrophages, dendritic cells, and T lymphocytes. However, there are few pieces of evidence about the effects of curcumin on B cells. This study aims to review the available evidence about curcumin's modulatory effects on B cells' proliferation, differentiation, and function in different states. Apart from normal B cells, the modulatory effects of curcumin on B cell lymphoma will also discuss.
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Affiliation(s)
- Asadollah Mohammadi
- Cellular and Molecular Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Kazem Mashayekhi
- Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | | | - Saeed Mohammadian Haftcheshmeh
- Department of Basic Medical Sciences, Neyshabur University of Medical Sciences, Neyshabur, Iran
- Healthy Ageing Research Centre, Neyshabur University of Medical Sciences, Neyshabur, Iran
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4
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Schönherz AA, Bødker JS, Schmitz A, Brøndum RF, Jakobsen LH, Roug AS, Severinsen MT, El-Galaly TC, Jensen P, Johnsen HE, Bøgsted M, Dybkær K. Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact. PLoS One 2020; 15:e0229593. [PMID: 32324791 PMCID: PMC7179860 DOI: 10.1371/journal.pone.0229593] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 02/10/2020] [Indexed: 12/30/2022] Open
Abstract
Acute myeloid leukaemia (AML) is characterised by phenotypic heterogeneity, which we hypothesise is a consequence of deregulated differentiation with transcriptional reminiscence of the normal compartment or cell-of-origin. Here, we propose a classification system based on normal myeloid progenitor cell subset-associated gene signatures (MAGS) for individual assignments of AML subtypes. We generated a MAGS classifier including the progenitor compartments CD34+/CD38- for haematopoietic stem cells (HSCs), CD34+/CD38+/CD45RA- for megakaryocyte-erythroid progenitors (MEPs), and CD34+/CD38+/CD45RA+ for granulocytic-monocytic progenitors (GMPs) using regularised multinomial regression with three discrete outcomes and an elastic net penalty. The regularisation parameters were chosen by cross-validation, and MAGS assignment accuracy was validated in an independent data set (N = 38; accuracy = 0.79) of sorted normal myeloid subpopulations. The prognostic value of MAGS assignment was studied in two clinical cohorts (TCGA: N = 171; GSE6891: N = 520) and had a significant prognostic impact. Furthermore, multivariate Cox regression analysis using the MAGS subtype, FAB subtype, cytogenetics, molecular genetics, and age as explanatory variables showed independent prognostic value. Molecular characterisation of subtypes by differential gene expression analysis, gene set enrichment analysis, and mutation patterns indicated reduced proliferation and overrepresentation of RUNX1 and IDH2 mutations in the HSC subtype; increased proliferation and overrepresentation of CEBPA mutations in the MEP subtype; and innate immune activation and overrepresentation of WT1 mutations in the GMP subtype. We present a differentiation-dependent classification system for AML subtypes with distinct pathogenetic and prognostic importance that can help identify candidates poorly responding to combination chemotherapy and potentially guide alternative treatments.
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Affiliation(s)
- Anna A. Schönherz
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Aalborg, Denmark
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Julie Støve Bødker
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Alexander Schmitz
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Rasmus Froberg Brøndum
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Lasse Hjort Jakobsen
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Aalborg, Denmark
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Anne Stidsholt Roug
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Aalborg, Denmark
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Marianne T. Severinsen
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Aalborg, Denmark
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Tarec C. El-Galaly
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Aalborg, Denmark
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Paw Jensen
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Hans Erik Johnsen
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Aalborg, Denmark
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Martin Bøgsted
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Aalborg, Denmark
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Karen Dybkær
- Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Aalborg, Denmark
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
- * E-mail:
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5
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A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis. Blood Adv 2019; 2:2400-2411. [PMID: 30254104 DOI: 10.1182/bloodadvances.2018018564] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 07/17/2018] [Indexed: 12/22/2022] Open
Abstract
Despite the recent progress in treatment of multiple myeloma (MM), it is still an incurable malignant disease, and we are therefore in need of new risk stratification tools that can help us to understand the disease and optimize therapy. Here we propose a new subtyping of myeloma plasma cells (PCs) from diagnostic samples, assigned by normal B-cell subset associated gene signatures (BAGS). For this purpose, we combined fluorescence-activated cell sorting and gene expression profiles from normal bone marrow (BM) Pre-BI, Pre-BII, immature, naïve, memory, and PC subsets to generate BAGS for assignment of normal BM subtypes in diagnostic samples. The impact of the subtypes was analyzed in 8 available data sets from 1772 patients' myeloma PC samples. The resulting tumor assignments in available clinical data sets exhibited similar BAGS subtype frequencies in 4 cohorts from de novo MM patients across 1296 individual cases. The BAGS subtypes were significantly associated with progression-free and overall survival in a meta-analysis of 916 patients from 3 prospective clinical trials. The major impact was observed within the Pre-BII and memory subtypes, which had a significantly inferior prognosis compared with other subtypes. A multiple Cox proportional hazard analysis documented that BAGS subtypes added significant, independent prognostic information to the translocations and cyclin D classification. BAGS subtype analysis of patient cases identified transcriptional differences, including a number of differentially spliced genes. We identified subtype differences in myeloma at diagnosis, with prognostic impact and predictive potential, supporting an acquired B-cell trait and phenotypic plasticity as a pathogenetic hallmark of MM.
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6
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Nørgaard CH, Jakobsen LH, Gentles AJ, Dybkær K, El-Galaly TC, Bødker JS, Schmitz A, Johansen P, Herold T, Spiekermann K, Brown JR, Klitgaard JL, Johnsen HE, Bøgsted M. Subtype assignment of CLL based on B-cell subset associated gene signatures from normal bone marrow - A proof of concept study. PLoS One 2018; 13:e0193249. [PMID: 29513759 PMCID: PMC5841735 DOI: 10.1371/journal.pone.0193249] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 02/07/2018] [Indexed: 11/26/2022] Open
Abstract
Diagnostic and prognostic evaluation of chronic lymphocytic leukemia (CLL) involves blood cell counts, immunophenotyping, IgVH mutation status, and cytogenetic analyses. We generated B-cell associated gene-signatures (BAGS) based on six naturally occurring B-cell subsets within normal bone marrow. Our hypothesis is that by segregating CLL according to BAGS, we can identify subtypes with prognostic implications in support of pathogenetic value of BAGS. Microarray-based gene-expression samples from eight independent CLL cohorts (1,024 untreated patients) were BAGS-stratified into pre-BI, pre-BII, immature, naïve, memory, or plasma cell subtypes; the majority falling within the memory (24.5-45.8%) or naïve (14.5-32.3%) categories. For a subset of CLL patients (n = 296), time to treatment (TTT) was shorter amongst early differentiation subtypes (pre-BI/pre-BII/immature) compared to late subtypes (memory/plasma cell, HR: 0.53 [0.35-0.78]). Particularly, pre-BII subtype patients had the shortest TTT among all subtypes. Correlates derived for BAGS subtype and IgVH mutation (n = 405) revealed an elevated mutation frequency in late vs. early subtypes (71% vs. 45%, P < .001). Predictions for BAGS subtype resistance towards rituximab and cyclophosphamide varied for rituximab, whereas all subtypes were sensitive to cyclophosphamide. This study supports our hypothesis that BAGS-subtyping may be of tangible prognostic and pathogenetic value for CLL patients.
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MESH Headings
- Adult
- Aged
- Aged, 80 and over
- Antineoplastic Agents, Alkylating/therapeutic use
- Antineoplastic Agents, Immunological/therapeutic use
- B-Lymphocyte Subsets/metabolism
- Bone Marrow/metabolism
- Cyclophosphamide/therapeutic use
- Drug Resistance, Neoplasm/physiology
- Female
- Gene Expression Regulation, Neoplastic
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/classification
- Leukemia, Lymphocytic, Chronic, B-Cell/metabolism
- Leukemia, Lymphocytic, Chronic, B-Cell/therapy
- Male
- Microarray Analysis
- Middle Aged
- Prognosis
- Proof of Concept Study
- Retrospective Studies
- Rituximab/therapeutic use
- Survival Analysis
- Time-to-Treatment
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Affiliation(s)
| | - Lasse Hjort Jakobsen
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Andrew J. Gentles
- Departments of Medicine and Biomedical Data Science, Stanford, California, United States of America
| | - Karen Dybkær
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Tarec Christoffer El-Galaly
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Julie Støve Bødker
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Alexander Schmitz
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Preben Johansen
- Department of Pathology, Aalborg University Hospital, Aalborg, Denmark
| | - Tobias Herold
- Department of Internal Medicine 3, University of Munich, Munich, Germany
| | | | - Jennifer R. Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Josephine L. Klitgaard
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Hans Erik Johnsen
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Martin Bøgsted
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
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7
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Nielsen KR, Rodrigo-Domingo M, Steffensen R, Baech J, Bergkvist KS, Oosterhof L, Schmitz A, Bødker JS, Johansen P, Vogel U, Vangsted A, Dybkær K, Bøgsted M, Johnsen HE. Interactions between SNPs affecting inflammatory response genes are associated with multiple myeloma disease risk and survival. Leuk Lymphoma 2017; 58:2695-2704. [DOI: 10.1080/10428194.2017.1306643] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Kaspar René Nielsen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Rudi Steffensen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | - John Baech
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | - Kim S Bergkvist
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Liesbeth Oosterhof
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Alexander Schmitz
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Julie Støve Bødker
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Preben Johansen
- Department of Hematopathology, Aalborg University Hospital, Aalborg, Denmark
| | - Ulla Vogel
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Anette Vangsted
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
| | - Karen Dybkær
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- The Department of Clinical Medicine, Aalborg University, Denmark
| | - Martin Bøgsted
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- The Department of Clinical Medicine, Aalborg University, Denmark
| | - Hans Erik Johnsen
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- The Department of Clinical Medicine, Aalborg University, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
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8
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Kipps TJ, Stevenson FK, Wu CJ, Croce CM, Packham G, Wierda WG, O'Brien S, Gribben J, Rai K. Chronic lymphocytic leukaemia. Nat Rev Dis Primers 2017; 3:16096. [PMID: 28102226 PMCID: PMC5336551 DOI: 10.1038/nrdp.2016.96] [Citation(s) in RCA: 287] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Chronic lymphocytic leukaemia (CLL) is a malignancy of CD5+ B cells that is characterized by the accumulation of small, mature-appearing lymphocytes in the blood, marrow and lymphoid tissues. Signalling via surface immunoglobulin, which constitutes the major part of the B cell receptor, and several genetic alterations play a part in CLL pathogenesis, in addition to interactions between CLL cells and other cell types, such as stromal cells, T cells and nurse-like cells in the lymph nodes. The clinical progression of CLL is heterogeneous and ranges from patients who require treatment soon after diagnosis to others who do not require therapy for many years, if at all. Several factors, including the immunoglobulin heavy-chain variable region gene (IGHV) mutational status, genomic changes, patient age and the presence of comorbidities, should be considered when defining the optimal management strategies, which include chemotherapy, chemoimmunotherapy and/or drugs targeting B cell receptor signalling or inhibitors of apoptosis, such as BCL-2. Research on the biology of CLL has profoundly enhanced our ability to identify patients who are at higher risk for disease progression and our capacity to treat patients with drugs that selectively target distinctive phenotypic or physiological features of CLL. How these and other advances have shaped our current understanding and treatment of patients with CLL is the subject of this Primer.
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Affiliation(s)
- Thomas J Kipps
- Division of Hematology-Oncology, Department of Medicine, Moores Cancer Centre, University of California, San Diego, 3855 Health Sciences Drive M/C 0820, La Jolla, California 92093, USA
| | - Freda K Stevenson
- Southampton Cancer Research UK Centre, Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Catherine J Wu
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Carlo M Croce
- Department of Molecular Virology, Immunology and Medical Genetics, Ohio State University, Columbus, Ohio, USA
| | - Graham Packham
- Southampton Cancer Research UK Centre, Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - William G Wierda
- Department of Hematology, MD Anderson Cancer Centre, Houston, Texas, USA
| | - Susan O'Brien
- Division of Hematology, Department of Medicine, University of California, Irvine, California, USA
| | - John Gribben
- Department of Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Kanti Rai
- CLL Research and Treatment Program, Feinstein Institute for Medical Research, Northwell Health, New Hyde Park, New York, USA
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9
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Carreras J, Kikuti YY, Beà S, Miyaoka M, Hiraiwa S, Ikoma H, Nagao R, Tomita S, Martin-Garcia D, Salaverria I, Sato A, Ichiki A, Roncador G, Garcia JF, Ando K, Campo E, Nakamura N. Clinicopathological characteristics and genomic profile of primary sinonasal tract diffuse large B cell lymphoma (DLBCL) reveals gain at 1q31 and RGS1 encoding protein; high RGS1 immunohistochemical expression associates with poor overall survival in DLBC. Histopathology 2017; 70:595-621. [DOI: 10.1111/his.13106] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Revised: 09/29/2016] [Accepted: 10/21/2016] [Indexed: 12/22/2022]
Affiliation(s)
- Joaquim Carreras
- Department of Pathology; Tokai University; School of Medicine; Kanagawa Japan
| | - Yara Y Kikuti
- Department of Pathology; Tokai University; School of Medicine; Kanagawa Japan
| | - Sílvia Beà
- Hematopathology Unit; Hospital Clínic; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); University of Barcelona; Barcelona Spain
| | - Masashi Miyaoka
- Department of Pathology; Tokai University; School of Medicine; Kanagawa Japan
| | - Shinichiro Hiraiwa
- Department of Pathology; Tokai University; School of Medicine; Kanagawa Japan
| | - Haruka Ikoma
- Department of Pathology; Tokai University; School of Medicine; Kanagawa Japan
| | - Ryoko Nagao
- Department of Pathology; Tokai University; School of Medicine; Kanagawa Japan
| | - Sakura Tomita
- Department of Pathology; Tokai University; School of Medicine; Kanagawa Japan
| | - David Martin-Garcia
- Hematopathology Unit; Hospital Clínic; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); University of Barcelona; Barcelona Spain
| | - Itziar Salaverria
- Hematopathology Unit; Hospital Clínic; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); University of Barcelona; Barcelona Spain
| | - Ai Sato
- Department of Hematology and Oncology; Tokai University; School of Medicine; Kanagawa Japan
| | - Akifumi Ichiki
- Department of Hematology and Oncology; Tokai University; School of Medicine; Kanagawa Japan
| | - Giovanna Roncador
- Monoclonal Antibodies Unit; Spanish National Cancer Research Centre (CNIO); Madrid Spain
| | - Juan F Garcia
- Department of Pathology; MD Anderson Cancer Center Madrid; Madrid Spain
| | - Kiyoshi Ando
- Department of Hematology and Oncology; Tokai University; School of Medicine; Kanagawa Japan
| | - Elias Campo
- Hematopathology Unit; Hospital Clínic; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); University of Barcelona; Barcelona Spain
| | - Naoya Nakamura
- Department of Pathology; Tokai University; School of Medicine; Kanagawa Japan
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10
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Johnsen HE, Bøgsted M, Schmitz A, Bødker JS, El-Galaly TC, Johansen P, Valent P, Zojer N, Van Valckenborgh E, Vanderkerken K, van Duin M, Sonneveld P, Perez-Andres M, Orfao A, Dybkær K. The myeloma stem cell concept, revisited: from phenomenology to operational terms. Haematologica 2016; 101:1451-1459. [PMID: 27903712 DOI: 10.3324/haematol.2015.138826] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 08/30/2016] [Indexed: 11/09/2022] Open
Abstract
The concept of the myeloma stem cell may have important therapeutic implications, yet its demonstration has been hampered by a lack of consistency in terms and definitions. Here, we summarize the current documentation and propose single-cell in vitro studies for future translational studies. By the classical approach, a CD19-/CD45low/-/CD38high/CD138+ malignant plasma cell, but not the CD19+/CD38low/- memory B cell compartment, is enriched for tumorigenic cells that initiate myeloma in xenografted immunodeficient mice, supporting that myeloma stem cells are present in the malignant PC compartment. Using a new approach, analysis of c-DNA libraries from CD19+/CD27+/CD38- single cells has identified clonotypic memory B cell, suggested to be the cell of origin. This is consistent with multiple myeloma being a multistep hierarchical process before or during clinical presentation. We anticipate that further characterization will require single cell geno- and phenotyping combined with clonogenic assays. To implement such technologies, we propose a revision of the concept of a myeloma stem cell by including operational in vitro assays to describe the cellular components of origin, initiation, maintenance, and evolution of multiple myeloma. These terms are in accordance with recent (2012) consensus statements on the definitions, assays, and nomenclature of cancer stem cells, which is technically precise without completely abolishing established terminology. We expect that this operational model will be useful for future reporting of parameters used to identify and characterize the multiple myeloma stem cells. We strongly recommend that these parameters include validated standard technologies, reproducible assays, and, most importantly, supervised prospective sampling of selected biomaterial which reflects clinical stages, disease spectrum, and therapeutic outcome. This framework is key to the characterization of the cellular architecture of multiple myeloma and its use in precision medicine.
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Affiliation(s)
- Hans Erik Johnsen
- Department of Haematology Aalborg University Hospital, Denmark .,Clinical Cancer Research Center, Aalborg University Hospital, Denmark.,The Department of Clinical Medicine, Aalborg University, Denmark
| | - Martin Bøgsted
- Department of Haematology Aalborg University Hospital, Denmark.,Clinical Cancer Research Center, Aalborg University Hospital, Denmark.,The Department of Clinical Medicine, Aalborg University, Denmark
| | | | | | - Tarec Christoffer El-Galaly
- Department of Haematology Aalborg University Hospital, Denmark.,Clinical Cancer Research Center, Aalborg University Hospital, Denmark.,The Department of Clinical Medicine, Aalborg University, Denmark
| | - Preben Johansen
- Department of Hematopathology, Aalborg University Hospital, Denmark
| | - Peter Valent
- The Department of Internal Medicine I, Division of Hematology Medical University of Vienna, Austria
| | - Niklas Zojer
- Wilhelminen Cancer Research Institute and Ludwig Boltzmann Cluster Oncology, First Department of Medicine, Center for Oncology and Hematology, Vienna, Austria
| | - Els Van Valckenborgh
- Department of Hematology and Immunology-Myeloma Center, Vrije University Brussels, Belgium
| | - Karin Vanderkerken
- Department of Hematology and Immunology-Myeloma Center, Vrije University Brussels, Belgium
| | - Mark van Duin
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, The Netherlands
| | - Pieter Sonneveld
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, The Netherlands
| | - Martin Perez-Andres
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Institute for Biomedical Research of Salamanca (IBSAL), University of Salamanca (USAL), Spain
| | - Alberto Orfao
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Institute for Biomedical Research of Salamanca (IBSAL), University of Salamanca (USAL), Spain
| | - Karen Dybkær
- Department of Haematology Aalborg University Hospital, Denmark.,Clinical Cancer Research Center, Aalborg University Hospital, Denmark.,The Department of Clinical Medicine, Aalborg University, Denmark
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11
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Bergkvist KS, Nørgaard MA, Bøgsted M, Schmitz A, Nyegaard M, Gaihede M, Bæch J, Grønholdt ML, Jensen FS, Johansen P, Urup T, El-Galaly TC, Madsen J, Bødker JS, Dybkær K, Johnsen HE. Characterization of memory B cells from thymus and its impact for DLBCL classification. Exp Hematol 2016; 44:982-990.e11. [PMID: 27297329 DOI: 10.1016/j.exphem.2016.06.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Revised: 05/09/2016] [Accepted: 06/02/2016] [Indexed: 10/21/2022]
Abstract
The rare memory B cells in thymus (Thy) are considered the cells of origin for primary mediastinal large B-cell lymphoma. The objectives of the present study were to characterize the normal memory B-cell compartment in Thy and to support its association with primary mediastinal B-cell lymphoma. Seven paired human tissue samples from Thy and sternum bone marrow (BM) were harvested during cardiac surgery. B-cell subsets were phenotyped by Euroflow standard and fluorescence-activated cell sorting for microarray analysis on the Human Exon 1.0 ST Arrays platform. Differentially expressed genes between Thy and BM memory B cells were identified and correlated with the molecular subclasses of diffuse large B-cell lymphoma. Within Thy, 4% (median; range 2%-14%) of the CD45(+) hematopoietic cells were CD19(+) B cells, with a major fraction being CD27(+)/CD38(-) memory B cells (median 80%, range 76%-93%). The BM contained 14% (median; range 3%-27%), of which only a minor fraction (median 5%, range 2%-10%) were memory B cells. Global gene expression analysis of the memory B-cell subsets from the two compartments identified 133 genes upregulated in Thy, including AICDA, REL, STAT1, TNF family, SLAMF1, CD80, and CD86. In addition, exons 4 and 5 in the 3' end of AICDA were more highly expressed in Thy than in BM. The Thy memory B-cell gene profile was overexpressed in primary mediastinal B-cell lymphoma compared with other diffuse large B-cell lymphoma subclasses. The present study describes a Thy memory B-cell subset and its gene profile correlated with primary mediastinal B-cell lymphomas, suggesting origin from Thy memory B cells.
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Affiliation(s)
| | - Martin Agge Nørgaard
- Department of Cardiothoracic Surgery, Aalborg University Hospital, Aalborg, Denmark
| | - Martin Bøgsted
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Alexander Schmitz
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Mette Nyegaard
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Michael Gaihede
- Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Department of Otolaryngology, Head and Neck Surgery, Aalborg University Hospital, Aalborg, Denmark
| | - John Bæch
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | | | | | - Preben Johansen
- Department of Pathology, Aalborg University Hospital, Aalborg, Denmark
| | - Thomas Urup
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Tarec C El-Galaly
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Jakob Madsen
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Julie Støve Bødker
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Karen Dybkær
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Hans Erik Johnsen
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
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12
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Camicia R, Winkler HC, Hassa PO. Novel drug targets for personalized precision medicine in relapsed/refractory diffuse large B-cell lymphoma: a comprehensive review. Mol Cancer 2015; 14:207. [PMID: 26654227 PMCID: PMC4676894 DOI: 10.1186/s12943-015-0474-2] [Citation(s) in RCA: 116] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 08/26/2015] [Indexed: 02/07/2023] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a clinically heterogeneous lymphoid malignancy and the most common subtype of non-Hodgkin's lymphoma in adults, with one of the highest mortality rates in most developed areas of the world. More than half of DLBLC patients can be cured with standard R-CHOP regimens, however approximately 30 to 40 % of patients will develop relapsed/refractory disease that remains a major cause of morbidity and mortality due to the limited therapeutic options.Recent advances in gene expression profiling have led to the identification of at least three distinct molecular subtypes of DLBCL: a germinal center B cell-like subtype, an activated B cell-like subtype, and a primary mediastinal B-cell lymphoma subtype. Moreover, recent findings have not only increased our understanding of the molecular basis of chemotherapy resistance but have also helped identify molecular subsets of DLBCL and rational targets for drug interventions that may allow for subtype/subset-specific molecularly targeted precision medicine and personalized combinations to both prevent and treat relapsed/refractory DLBCL. Novel agents such as lenalidomide, ibrutinib, bortezomib, CC-122, epratuzumab or pidilizumab used as single-agent or in combination with (rituximab-based) chemotherapy have already demonstrated promising activity in patients with relapsed/refractory DLBCL. Several novel potential drug targets have been recently identified such as the BET bromodomain protein (BRD)-4, phosphoribosyl-pyrophosphate synthetase (PRPS)-2, macrodomain-containing mono-ADP-ribosyltransferase (ARTD)-9 (also known as PARP9), deltex-3-like E3 ubiquitin ligase (DTX3L) (also known as BBAP), NF-kappaB inducing kinase (NIK) and transforming growth factor beta receptor (TGFβR).This review highlights the new insights into the molecular basis of relapsed/refractory DLBCL and summarizes the most promising drug targets and experimental treatments for relapsed/refractory DLBCL, including the use of novel agents such as lenalidomide, ibrutinib, bortezomib, pidilizumab, epratuzumab, brentuximab-vedotin or CAR T cells, dual inhibitors, as well as mechanism-based combinatorial experimental therapies. We also provide a comprehensive and updated list of current drugs, drug targets and preclinical and clinical experimental studies in DLBCL. A special focus is given on STAT1, ARTD9, DTX3L and ARTD8 (also known as PARP14) as novel potential drug targets in distinct molecular subsets of DLBCL.
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Affiliation(s)
- Rosalba Camicia
- Institute of Veterinary Biochemistry and Molecular Biology, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.,Stem Cell Research Laboratory, NHS Blood and Transplant, Nuffield Division of Clinical, Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK.,MRC-UCL Laboratory for Molecular Cell Biology Unit, University College London, Gower Street, London, WC1E6BT, UK
| | - Hans C Winkler
- Institute of Veterinary Biochemistry and Molecular Biology, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.,Institute of Pharmacology and Toxicology, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 260, 8057, Zurich, Switzerland
| | - Paul O Hassa
- Institute of Veterinary Biochemistry and Molecular Biology, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
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13
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Nielsen KR, Steffensen R, Bendtsen MD, Rodrigo-Domingo M, Baech J, Haunstrup TM, Bergkvist KS, Schmitz A, Boedker JS, Johansen P, Dybkaeær K, Boeøgsted M, Johnsen HE. Inherited Inflammatory Response Genes Are Associated with B-Cell Non-Hodgkin's Lymphoma Risk and Survival. PLoS One 2015; 10:e0139329. [PMID: 26448050 PMCID: PMC4598167 DOI: 10.1371/journal.pone.0139329] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Accepted: 09/11/2015] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Malignant B-cell clones are affected by both acquired genetic alterations and by inherited genetic variations changing the inflammatory tumour microenvironment. METHODS We investigated 50 inflammatory response gene polymorphisms in 355 B-cell non-Hodgkin's lymphoma (B-NHL) samples encompassing 216 diffuse large B cell lymphoma (DLBCL) and 139 follicular lymphoma (FL) and 307 controls. The effect of single genes and haplotypes were investigated and gene-expression analysis was applied for selected genes. Since interaction between risk genes can have a large impact on phenotype, two-way gene-gene interaction analysis was included. RESULTS We found inherited SNPs in genes critical for inflammatory pathways; TLR9, IL4, TAP2, IL2RA, FCGR2A, TNFA, IL10RB, GALNT12, IL12A and IL1B were significantly associated with disease risk and SELE, IL1RN, TNFA, TAP2, MBL2, IL5, CX3CR1, CHI3L1 and IL12A were, associated with overall survival (OS) in specific diagnostic entities of B-NHL. We discovered noteworthy interactions between DLBCL risk alleles on IL10 and IL4RA and FL risk alleles on IL4RA and IL4. In relation to OS, a highly significant interaction was observed in DLBCL for IL4RA (rs1805010) * IL10 (rs1800890) (HR = 0.11 (0.02-0.50)). Finally, we explored the expression of risk genes from the gene-gene interaction analysis in normal B-cell subtypes showing a different expression of IL4RA, IL10, IL10RB genes supporting a pathogenetic effect of these interactions in the germinal center. CONCLUSIONS The present findings support the importance of inflammatory genes in B-cell lymphomas. We found association between polymorphic sites in inflammatory response genes and risk as well as outcome in B-NHL and suggest an effect of gene-gene interactions during the stepwise oncogenesis.
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MESH Headings
- Aged
- Alleles
- Female
- Genotype
- Haplotypes
- Humans
- Interleukin-10/genetics
- Interleukin-10/metabolism
- Interleukin-10 Receptor beta Subunit/genetics
- Interleukin-10 Receptor beta Subunit/metabolism
- Interleukin-4/genetics
- Interleukin-4/metabolism
- Interleukin-4 Receptor alpha Subunit/genetics
- Interleukin-4 Receptor alpha Subunit/metabolism
- Linkage Disequilibrium
- Lymphoma, Follicular/etiology
- Lymphoma, Follicular/genetics
- Lymphoma, Follicular/mortality
- Lymphoma, Large B-Cell, Diffuse/etiology
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/mortality
- Male
- Middle Aged
- Odds Ratio
- Polymorphism, Single Nucleotide
- Proportional Hazards Models
- Risk
- Survival Analysis
- Transcriptome
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Affiliation(s)
- Kaspar René Nielsen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | - Rudi Steffensen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | | | | | - John Baech
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | - Thure Mors Haunstrup
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Alexander Schmitz
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Preben Johansen
- Department of Haematopathology, Aalborg University Hospital, Aalborg, Denmark
| | - Karen Dybkaeær
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Martin Boeøgsted
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Hans Erik Johnsen
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- * E-mail:
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14
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Marques SC, Laursen MB, Bødker JS, Kjeldsen MK, Falgreen S, Schmitz A, Bøgsted M, Johnsen HE, Dybkaer K. MicroRNAs in B-cells: from normal differentiation to treatment of malignancies. Oncotarget 2015; 6:7-25. [PMID: 25622103 PMCID: PMC4381575 DOI: 10.18632/oncotarget.3057] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Accepted: 12/09/2014] [Indexed: 12/12/2022] Open
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs that play important post-transcriptional regulatory roles in a wide range of biological processes. They are fundamental to the normal development of cells, and evidence suggests that the deregulation of specific miRNAs is involved in malignant transformation due to their function as oncogenes or tumor suppressors. We know that miRNAs are involved in the development of normal B-cells and that different B-cell subsets express specific miRNA profiles according to their degree of differentiation. B-cell-derived malignancies contain transcription signatures reminiscent of their cell of origin. Therefore, we believe that normal and malignant B-cells share features of regulatory networks controlling differentiation and the ability to respond to treatment. The involvement of miRNAs in these processes makes them good biomarker candidates. B-cell malignancies are highly prevalent, and the poor overall survival of patients with these malignancies demands an improvement in stratification according to prognosis and therapy response, wherein we believe miRNAs may be of great importance. We have critically reviewed the literature, and here we sum up the findings of miRNA studies in hematological cancers, from the development and progression of the disease to the response to treatment, with a particular emphasis on B-cell malignancies.
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Affiliation(s)
- Sara Correia Marques
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aarhus University, Denmark
| | - Maria Bach Laursen
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Julie Støve Bødker
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Steffen Falgreen
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Alexander Schmitz
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Martin Bøgsted
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Denmark
| | - Hans Erik Johnsen
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, Denmark
| | - Karen Dybkaer
- Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Denmark
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