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Marianini P, Lacheretz-Szablewski V, Almeras M, Moreaux J, Bret C. CD38, CD39, and BCL2 differentiate disseminated forms of high-grade B-cell lymphomas in biological fluids from Burkitt lymphoma and diffuse large B-cell lymphoma. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2024. [PMID: 39295433 DOI: 10.1002/cyto.b.22208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 08/28/2024] [Accepted: 09/10/2024] [Indexed: 09/21/2024]
Abstract
High-grade B-cell lymphomas (HGBCL) represent a heterogeneous group of very rare mature B-cell lymphomas. The 4th revised edition of the WHO Classification of Tumors of Hematopoietic and Lymphoid Tissues (WHO-HAEM) previously defined two categories of HGBCL: the so-called double-hit (DHL) and triple-hit (THL) lymphomas, which were related to forms harboring MYC and BCL2 and/or BCL6 rearrangements, and HGBCL, NOS (not otherwise specified), corresponding to entities with intermediate characteristics between diffuse large B-cell lymphoma (DLBCL) and Burkitt lymphoma (BL), without rearrangement of the MYC and BCL2, and/or BCL6 genes. In the 5th edition of the WHO-HAEM, DHL with MYC and BCL2 rearrangements or THL were reassigned as DLBCL/HGBCL with MYC and BCL2 rearrangements (DLBCL/HGBL-MYC/BCL2), whereas the category HGBCL, NOS remains unchanged. Characterized by an aggressive clinical presentation and a poor prognosis, HGBCL is often diagnosed at an advanced, widespread stage, leading to potential disseminated forms with a leukemic presentation, or spreading to the bone marrow (BM) or other biological fluids. Flow cytometric immunophenotypic study of these disseminated cells can provide a rapid method to identify HGBCL. However, due to the scarcity of cases, only limited data about the immunophenotypic features of HGBCL by multiparametric flow cytometry are available. In addition, identification of HGBCL cells by this technique may be challenging due to clinical, pathological, and biological features that can overlap with other distinct lymphoid malignancies, including Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL), and even B acute lymphoblastic leukemia (B-ALL). In this study, we aimed to characterize the detailed immunophenotypic portrait of HGBCL, evaluating by multiparametric flow cytometry (MFC) the expression of 26 markers on biological samples obtained from a cohort of 10 newly-diagnosed cases and comparing their level of expression with normal peripheral blood (PB) B lymphocytes (n = 10 samples), tumoral cells from patients diagnosed with B-ALL (n = 30), BL (n = 13), or DLBCL (n = 22). We then proposed a new and simple approach to rapidly distinguish disseminated forms of HGBCL, BL, and DLBCL, using the combination of MFC data for CD38, BCL2, and CD39, the three most discriminative markers explored in this study. We finally confirmed the utility of the scoring system previously proposed by Khanlari to distinguish HGBCL cells from B lymphoblasts of B-ALL. In conclusion, we described a distinct immunophenotypic portrait of HGBCL cells and proposed a strategy to differentiate these cells from other aggressive B lymphoma entities in biological samples.
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Affiliation(s)
- Pauline Marianini
- Department of Biological Hematology, St Eloi Hospital, Montpellier University Hospital, Montpellier, France
| | - Vanessa Lacheretz-Szablewski
- Department of Pathology and Onco-Biology, Gui de Chauliac Hospital, Montpellier University Hospital, Montpellier, France
- Faculty of Medicine, University of Montpellier, Montpellier, France
| | | | - Jérôme Moreaux
- Department of Biological Hematology, St Eloi Hospital, Montpellier University Hospital, Montpellier, France
- Faculty of Medicine, University of Montpellier, Montpellier, France
- CNRS UMR 9002, Institute of Human Genetics, Montpellier, France
- Institut Universitaire de France, Paris, France
| | - Caroline Bret
- Department of Biological Hematology, St Eloi Hospital, Montpellier University Hospital, Montpellier, France
- Faculty of Medicine, University of Montpellier, Montpellier, France
- CNRS UMR 9002, Institute of Human Genetics, Montpellier, France
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Robak T, Krawczyńska A, Cebula-Obrzut B, Urbaniak M, Iskierka-Jażdżewska E, Robak P. Atypical Chronic Lymphocytic Leukemia-The Current Status. Cancers (Basel) 2023; 15:4427. [PMID: 37760396 PMCID: PMC10527541 DOI: 10.3390/cancers15184427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/17/2023] [Accepted: 09/01/2023] [Indexed: 09/29/2023] Open
Abstract
A diagnosis of typical chronic lymphocytic leukemia (CLL) requires the presence of ≥5000 clonal B-lymphocytes/μL, the coexistence of CD19, CD20, CD5, and CD23, the restriction of light chain immunoglobulin, and the lack of expression of antigens CD22 and CD79b. Atypical CLL (aCLL) can be distinguished from typical CLL morphologically and immunophenotypically. Morphologically atypical CLL cells have been defined mainly as large, atypical forms, prolymphocytes, or cleaved cells. However, current aCLL diagnostics rely more on immunophenotypic characteristics rather than atypical morphology. Immunophenotypically, atypical CLL differs from classic CLL in the lack of expression of one or fewer surface antigens, most commonly CD5 and CD23, and the patient does not meet the criteria for a diagnosis of any other B-cell lymphoid malignancy. Morphologically atypical CLL has more aggressive clinical behavior and worse prognosis than classic CLL. Patients with aCLL are more likely to display markers associated with poor prognosis, including trisomy 12, unmutated IGVH, and CD38 expression, compared with classic CLL. However, no standard or commonly accepted criteria exist for differentiating aCLL from classic CLL and the clinical significance of aCLL is still under debate. This review summarizes the current state of knowledge on the morphological, immunophenotypic, and genetic abnormalities of aCLL.
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Affiliation(s)
- Tadeusz Robak
- Department of Hematology, Medical University of Lodz, 90-647 Lodz, Poland; (A.K.); (B.C.-O.); (M.U.); (E.I.-J.); (P.R.)
- Department of General Hematology, Copernicus Memorial Hospital, 93-513 Lodz, Poland
| | - Anna Krawczyńska
- Department of Hematology, Medical University of Lodz, 90-647 Lodz, Poland; (A.K.); (B.C.-O.); (M.U.); (E.I.-J.); (P.R.)
- Department of General Hematology, Copernicus Memorial Hospital, 93-513 Lodz, Poland
| | - Barbara Cebula-Obrzut
- Department of Hematology, Medical University of Lodz, 90-647 Lodz, Poland; (A.K.); (B.C.-O.); (M.U.); (E.I.-J.); (P.R.)
- Department of General Hematology, Copernicus Memorial Hospital, 93-513 Lodz, Poland
| | - Marta Urbaniak
- Department of Hematology, Medical University of Lodz, 90-647 Lodz, Poland; (A.K.); (B.C.-O.); (M.U.); (E.I.-J.); (P.R.)
- Department of General Hematology, Copernicus Memorial Hospital, 93-513 Lodz, Poland
| | - Elżbieta Iskierka-Jażdżewska
- Department of Hematology, Medical University of Lodz, 90-647 Lodz, Poland; (A.K.); (B.C.-O.); (M.U.); (E.I.-J.); (P.R.)
- Department of General Hematology, Copernicus Memorial Hospital, 93-513 Lodz, Poland
| | - Paweł Robak
- Department of Hematology, Medical University of Lodz, 90-647 Lodz, Poland; (A.K.); (B.C.-O.); (M.U.); (E.I.-J.); (P.R.)
- Department of Hematooncology, Copernicus Memorial Hospital, 93-513 Lodz, Poland
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Vergnolle I, Ceccomarini T, Canali A, Rieu JB, Vergez F. Use of a hybrid intelligence decision tree to identify mature B-cell neoplasms. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2023. [PMID: 37539849 DOI: 10.1002/cyto.b.22136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/31/2023] [Accepted: 06/22/2023] [Indexed: 08/05/2023]
Abstract
BACKGROUND Mature B-cell neoplasms are challenging to diagnose due to their heterogeneity and overlapping clinical and biological features. In this study, we present a new workflow strategy that leverages a large amount of flow cytometry data and an artificial intelligence approach to classify these neoplasms. METHODS By combining mathematical tools, such as classification algorithms and regression tree (CART) models, with biological expertise, we have developed a decision tree that accurately identifies mature B-cell neoplasms. This includes chronic lymphocytic leukemia (CLL), for which cytometry has been extensively used, as well as other non-CLL subtypes. RESULTS The decision tree is easy to use and proposes a diagnosis and classification of mature B-cell neoplasms to the users. It can identify the majority of CLL cases using just three markers: CD5, CD43, and CD200. CONCLUSION This approach has the potential to improve the accuracy and efficiency of mature B-cell neoplasm diagnosis.
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Affiliation(s)
- Inès Vergnolle
- Laboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
| | - Theo Ceccomarini
- Laboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
| | - Alban Canali
- Laboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
| | - Jean-Baptiste Rieu
- Laboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
| | - François Vergez
- Laboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
- Université Toulouse III Paul Sabatier, Toulouse, France
- Cancer Research Center of Toulouse, UMR1037 INSERM, ERL5294 CNRS, Toulouse, France
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Edwards K, Lydyard PM, Kulikova N, Tsertsvadze T, Volpi EV, Chiorazzi N, Porakishvili N. The role of CD180 in hematological malignancies and inflammatory disorders. Mol Med 2023; 29:97. [PMID: 37460961 PMCID: PMC10353253 DOI: 10.1186/s10020-023-00682-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/08/2023] [Indexed: 07/20/2023] Open
Abstract
Toll-like receptors play a significant role in the innate immune system and are also involved in the pathophysiology of many different diseases. Over the past 35 years, there have been a growing number of publications exploring the role of the orphan toll-like receptor, CD180. We therefore set out to provide a narrative review of the current evidence surrounding CD180 in both health and disease. We first explore the evidence surrounding the role of CD180 in physiology including its expression, function and signaling in antigen presenting cells (APCs) (dendritic cells, monocytes, and B cells). We particularly focus on the role of CD180 as a modulator of other TLRs including TLR2, TLR4, and TLR9. We then discuss the role of CD180 in inflammatory and autoimmune diseases, as well as in hematological malignancies of B cell origin, including chronic lymphocytic leukemia (CLL). Based on this evidence we produce a current model for CD180 in disease and explore the potential role for CD180 as both a prognostic biomarker and therapeutic target. Throughout, we highlight specific areas of research which should be addressed to further the understanding of CD180 biology and the translational potential of research into CD180 in various diseases.
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Affiliation(s)
- Kurtis Edwards
- School of Life Sciences, University of Westminster, London, UK
| | - Peter M Lydyard
- School of Life Sciences, University of Westminster, London, UK.
- The University of Georgia, Tbilisi, Georgia.
- Division of Infection of Immunity, University College London, Gower Street, London, WC1E 6BT, UK.
| | - Nino Kulikova
- Agricultural University of Georgia, Tbilisi, Georgia
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Fend F, Dogan A, Cook JR. Plasma cell neoplasms and related entities-evolution in diagnosis and classification. Virchows Arch 2023; 482:163-177. [PMID: 36414803 PMCID: PMC9852202 DOI: 10.1007/s00428-022-03431-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/11/2022] [Accepted: 10/15/2022] [Indexed: 11/23/2022]
Abstract
Plasma cell neoplasms including multiple myeloma (MM) and related terminally differentiated B-cell neoplasms are characterized by secretion of monoclonal immunoglobulin and stepwise development from a preneoplastic clonal B and/or plasma cell proliferation called monoclonal gammopathy of undetermined significance (MGUS). Diagnosis of these disorders requires integration of clinical, laboratory, and morphological features. While their classification mostly remains unchanged compared to the revised 2016 WHO classification and the 2014 International Myeloma Working Group consensus, some changes in criteria and terminology were proposed in the 2022 International Consensus Classification (ICC) of mature lymphoid neoplasms. MGUS of IgM type is now divided into IgM MGUS of plasma cell type, precursor to the rare IgM MM and characterized by MM-type cytogenetics, lack of clonal B-cells and absence of MYD88 mutation, and IgM MGUS, NOS including the remaining cases. Primary cold agglutinin disease is recognized as a new entity. MM is now formally subdivided into cytogenetic groups, recognizing the importance of genetics for clinical features and prognosis. MM with recurrent genetic abnormalities includes MM with CCND family translocations, MM with MAF family translocations, MM with NSD2 translocation, and MM with hyperdiploidy, with the remaining cases classified as MM, NOS. For diagnosis of localized plasma cell tumors, solitary plasmacytoma of bone, and primary extraosseous plasmacytoma, the importance of excluding minimal bone marrow infiltration by flow cytometry is emphasized. Primary systemic amyloidosis is renamed immunoglobulin light chain amyloidosis (AL), and a localized AL amyloidosis is recognized as a distinct entity. This review summarizes the updates on plasma cell neoplasms and related entities proposed in the 2022 ICC. KEY POINTS: • Lymphoplasmacytic lymphoma can be diagnosed with lymphoplasmacytic aggregates in trephine biopsies < 10% of cellularity and evidence of clonal B-cells and plasma cells. • IgM MGUS is subdivided into a plasma cell type and a not otherwise specified (NOS) type. • Primary cold agglutinin disease is recognized as a new entity. • The term "multiple myeloma" replaces the term "plasma cell myeloma" used in the 2016 WHO classification. • Multiple myeloma is subdivided into 4 mutually exclusive cytogenetic groups and MM NOS. • Minimal bone marrow infiltration detected by flow cytometry is of major prognostic importance for solitary plasmacytoma of bone and to a lesser extent for primary extraosseous plasmacytoma. • Localized IG light chain amyloidosis is recognized as a separate entity, distinct from systemic immunoglobulin light chain (AL) amyloidosis.
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Affiliation(s)
- Falko Fend
- Institute of Pathology and Neuropathology and Comprehensive Cancer Center, Tübingen University Hospital, Tübingen, Germany
| | - Ahmet Dogan
- Memorial Sloan Kettering Cancer Center, New York, NY 10065 USA
| | - James R. Cook
- Department of Clinical Pathology, Cleveland Clinic, Cleveland, OH 44195 USA
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Wang Y, Zheng N, Sun T, Zhao H, Chen Y, Liu C. Role of TGM2 in T‑cell lymphoblastic lymphoma via regulation of IL‑6/JAK/STAT3 signalling. Mol Med Rep 2022; 25:76. [PMID: 35014680 PMCID: PMC8778669 DOI: 10.3892/mmr.2022.12592] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 11/16/2021] [Indexed: 11/16/2022] Open
Abstract
Transglutaminase 2 (TGM2) is a Ca2+-dependent enzyme that is closely associated with cancer progression; however, the function of TGM2 in T-cell lymphoma remains unclear. In the present study, TGM2 was identified as an upregulated gene by bioinformatics analysis of the microarray datasets GSE132550 and GSE143382 from the Gene Expression Omnibus database. The effects and mechanisms of TGM2 on T-cell lymphoma cells were evaluated using the Cell Counting Kit-8, colony formation assay, 5-ethynyl-2′-deoxyuridine (EdU) assay, flow cytometry, reverse transcription-quantitative polymerase chain reaction, western blotting and gene set enrichment analysis (GSEA). TGM2 expression was shown to be elevated in formalin-fixed paraffin-embedded skin biopsies from patients with T-cell lymphoma relative to skin tissue from healthy cases. TGM2 expression was also increased in T-cell lymphoma cell lines compared with that in CD4+ T cells. Transfection with TGM2 small interfering RNAs (siRNAs) decreased the number of EdU-positive cells, and the viability and colony formation of T-cell lymphoma cells. Furthermore, TGM2 siRNAs enhanced the apoptosis of T-cell lymphoma cells potentially via cleavage of caspase-3 and poly ADP-ribose polymerase. GSEA identified the IL-6/JAK/STAT3 pathway as a potential downstream signalling pathway of TGM2. Notably, the effects of TGM2 siRNAs on T-cell lymphoma cells were attenuated by IL-6 and accelerated by IL-6/JAK/STAT3 inhibitor AG490. These findings indicated that TGM2 siRNAs inhibited the proliferation of T-cell lymphoma cells by regulating the IL-6/JAK/STAT3 signalling pathway; therefore, TGM2 may function as a potential therapeutic target for T-cell lymphoma.
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Affiliation(s)
- Yuyan Wang
- Department of Laboratory, Shengli Oilfield Central Hospital, Dongying, Shandong 257034, P.R. China
| | - Ni Zheng
- Department of Laboratory, Shengli Oilfield Central Hospital, Dongying, Shandong 257034, P.R. China
| | - Tingting Sun
- Department of Laboratory, Shengli Oilfield Central Hospital, Dongying, Shandong 257034, P.R. China
| | - Hui Zhao
- Department of Laboratory, Shengli Oilfield Central Hospital, Dongying, Shandong 257034, P.R. China
| | - Ying Chen
- Department of Laboratory, Shengli Oilfield Central Hospital, Dongying, Shandong 257034, P.R. China
| | - Congcong Liu
- Department of Laboratory, Shengli Oilfield Central Hospital, Dongying, Shandong 257034, P.R. China
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Xia D, Leon AJ, Yan J, Silva A, Bakhtiari M, Tremblay-LeMay R, Selvarajah S, Sabatini P, Diamandis P, Pugh T, Kridel R, Delabie J. DNA Methylation-Based Classification of Small B-Cell Lymphomas: A Proof-of-Principle Study. J Mol Diagn 2021; 23:1774-1786. [PMID: 34562613 DOI: 10.1016/j.jmoldx.2021.09.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 08/17/2021] [Accepted: 09/01/2021] [Indexed: 11/15/2022] Open
Abstract
Although most small B-cell lymphomas (SBCLs) can be diagnosed using routine methods, challenges exist. For example, marginal zone lymphomas (MZLs) can be difficult to rule-in, in large part because no widely-used, sensitive, and specific biomarker is available for the marginal zone cell of origin. In this study, it was hypothesized that DNA methylation array profiling can assist with the classification of SBCLs, including MZLs. Extramedullary SBCLs, including challenging cases, were reviewed internally for pathology consensus and profiled. By combining the resulting array data set with data sets from other groups, a set of 26 informative probes was selected and used to train machine learning models to classify 4 common SBCLs: chronic lymphocytic leukemia/small lymphocytic lymphoma, follicular lymphoma, mantle cell lymphoma, and MZL. Prediction probability cutoff was used to separate classifiable from unclassifiable cases, and show that the trained model was able to classify 95% of independent test cases (n = 264/279). The concordance between model predictions and pathology diagnoses was 99.6% (n = 262/263) among classifiable test cases. One validation reference test case was reclassified based on model prediction. The model was also used to predict the diagnoses of two challenging SBCLs. Although the differential examined and data on difficult cases are limited, these results support accurate methylation-based classification of SBCLs. Furthermore, high specificities of predictions suggest that methylation signatures can be used to rule-in MZLs.
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Affiliation(s)
- Daniel Xia
- Division of Hematopathology and Transfusion Medicine, University Health Network, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
| | - Alberto Jose Leon
- Translational Genomics Laboratory, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Jiong Yan
- Division of Hematopathology and Transfusion Medicine, University Health Network, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Anjali Silva
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Vector Institute, Toronto, Ontario, Canada
| | | | - Rosemarie Tremblay-LeMay
- Division of Hematopathology and Transfusion Medicine, University Health Network, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Shamini Selvarajah
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Peter Sabatini
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Division of Clinical Laboratory Genetics, University Health Network, Toronto, Ontario, Canada
| | - Phedias Diamandis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Trevor Pugh
- Translational Genomics Laboratory, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Robert Kridel
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Jan Delabie
- Division of Hematopathology and Transfusion Medicine, University Health Network, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
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Donzel M, Baseggio L, Fontaine J, Pesce F, Ghesquières H, Bachy E, Verney A, Traverse-Glehen A. New Insights into the Biology and Diagnosis of Splenic Marginal Zone Lymphomas. ACTA ACUST UNITED AC 2021; 28:3430-3447. [PMID: 34590593 PMCID: PMC8482189 DOI: 10.3390/curroncol28050297] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/02/2021] [Accepted: 09/03/2021] [Indexed: 11/16/2022]
Abstract
Splenic marginal zone lymphoma (SMZL) is a small B-cell lymphoma, which has been recognized as a distinct pathological entity since the WHO 2008 classification. It classically presents an indolent evolution, but a third of patients progress rapidly and require aggressive treatments, such as immuno-chemotherapy or splenectomy, with all associated side effects. In recent years, advances in the comprehension of SMZL physiopathology have multiplied, thanks to the arrival of new devices in the panel of available molecular biology techniques, allowing the discovery of new molecular findings. In the era of targeted therapies, an update of current knowledge is needed to guide future researches, such as those on epigenetic modifications or the microenvironment of these lymphomas.
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Affiliation(s)
- Marie Donzel
- Institut de pathologie multi-sites, Hôpital Lyon Sud, Hospices Civils de Lyon, 69310 Pierre Bénite, France; (M.D.); (J.F.); (F.P.)
| | - Lucile Baseggio
- Laboratoire d’hématologie, Hôpital Lyon Sud, Hospices Civils de Lyon, 69310 Pierre Bénite, France;
- INSERM-Unité Mixte de Recherche 1052 CNRS 5286, Team “Clinical and Experimental Models of Lymphomagenesis”, UCBL, Cancer Research Center of Lyon, Université Lyon, 69001 Lyon, France; (H.G.); (E.B.); (A.V.)
| | - Juliette Fontaine
- Institut de pathologie multi-sites, Hôpital Lyon Sud, Hospices Civils de Lyon, 69310 Pierre Bénite, France; (M.D.); (J.F.); (F.P.)
| | - Florian Pesce
- Institut de pathologie multi-sites, Hôpital Lyon Sud, Hospices Civils de Lyon, 69310 Pierre Bénite, France; (M.D.); (J.F.); (F.P.)
| | - Hervé Ghesquières
- INSERM-Unité Mixte de Recherche 1052 CNRS 5286, Team “Clinical and Experimental Models of Lymphomagenesis”, UCBL, Cancer Research Center of Lyon, Université Lyon, 69001 Lyon, France; (H.G.); (E.B.); (A.V.)
- Service d’hématologie, Hôpital Lyon Sud, Hospices Civils de Lyon, 69310 Pierre Bénite, France
| | - Emmanuel Bachy
- INSERM-Unité Mixte de Recherche 1052 CNRS 5286, Team “Clinical and Experimental Models of Lymphomagenesis”, UCBL, Cancer Research Center of Lyon, Université Lyon, 69001 Lyon, France; (H.G.); (E.B.); (A.V.)
- Service d’hématologie, Hôpital Lyon Sud, Hospices Civils de Lyon, 69310 Pierre Bénite, France
| | - Aurélie Verney
- INSERM-Unité Mixte de Recherche 1052 CNRS 5286, Team “Clinical and Experimental Models of Lymphomagenesis”, UCBL, Cancer Research Center of Lyon, Université Lyon, 69001 Lyon, France; (H.G.); (E.B.); (A.V.)
| | - Alexandra Traverse-Glehen
- Institut de pathologie multi-sites, Hôpital Lyon Sud, Hospices Civils de Lyon, 69310 Pierre Bénite, France; (M.D.); (J.F.); (F.P.)
- INSERM-Unité Mixte de Recherche 1052 CNRS 5286, Team “Clinical and Experimental Models of Lymphomagenesis”, UCBL, Cancer Research Center of Lyon, Université Lyon, 69001 Lyon, France; (H.G.); (E.B.); (A.V.)
- Correspondence: ; Tel.: +33-4-7876-1186
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Li Y, Tong X, Huang L, Li L, Wang C, He C, Liu S, Wang Z, Xiao M, Mao X, Zhang D. A new score including CD43 and CD180: Increased diagnostic value for atypical chronic lymphocytic leukemia. Cancer Med 2021; 10:4387-4396. [PMID: 34061467 PMCID: PMC8267114 DOI: 10.1002/cam4.3983] [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: 11/19/2020] [Revised: 04/20/2021] [Accepted: 04/29/2021] [Indexed: 12/21/2022] Open
Abstract
Moreau score has been used to differentiate chronic lymphocytic leukemia (CLL) from other mature B‐cell neoplasms. However, it showed limitations in Asian patients. Therefore, we conducted a new score system replacing CD5 and CD23 with CD43 and CD180 to evaluate its diagnostic value of CLL. 237 untreated samples diagnosed with mature B‐cell neoplasms were collected and were randomly divided into an exploratory and a validation cohort by a 2:1 ratio. The expression of CD5, CD19, CD20, CD23, CD43, CD79b, CD180, CD200, FMC7, and surface immunoglobulin (SmIg) were analyzed among all the samples. A proposed score was developed based on the logistic regression model. The sensitivity and specificity of the proposed score were calculated by ROC curves. CD43/CD180, CD200, FMC7, and CD79b were included in our new CLL score, which showed a sensitivity of 91.8% and a specificity of 83.1%. These results were confirmed in a validation cohort with a sensitivity of 90.5% (p = 0.808) and a specificity of 79.5% (p = 0.639). In CD5 negative or CD23 negative CLL group, the new CLL score displayed improved sensitivity of 79.4% compared to Moreau score and CLLflow score (41.2% and 47.1%, respectively). In atypical CLL group, the new CLL score showed improved sensitivity of 84.2% compared to Moreau score and CLLflow score (61.4% and 64.9%, respectively). This proposed atypical CLL score helped to offer an accurate differentiation of CLL from non‐CLL together with morphological and molecular methods, particularly in Chinese patients with atypical immunophenotype.
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Affiliation(s)
- Yi Li
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiwen Tong
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lifang Huang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Li
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunyan Wang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Cheng He
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Songya Liu
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiqiong Wang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Xiao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xia Mao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Donghua Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Gautam A, Sreedharanunni S, Sachdeva MUS, Rana S, Kashyap D, Bose P, Bal A, Prakash G, Malhotra P, Das R, Varma N. The relative expression levels of CD148 and CD180 on clonal B cells and CD148/CD180 median fluorescence intensity ratios are useful in the characterization of mature B cell lymphoid neoplasms infiltrating blood and bone marrow - Results from a single centre pilot study. Int J Lab Hematol 2021; 43:1123-1131. [PMID: 33455071 DOI: 10.1111/ijlh.13467] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 11/30/2020] [Accepted: 12/30/2020] [Indexed: 12/01/2022]
Abstract
INTRODUCTION The categorization of mature B cell neoplasms (MBN) infiltrating blood and bone marrow are met with difficulties. The inclusion of CD148 and CD180 in the routine flow cytometry/FCM panels has been suggested to refine the diagnosis. We studied the discriminatory ability of CD148 and CD180 median fluorescence intensity(MFI), CD148/CD180 ratio and their expression relative to T cells (CD148ab/T , CD180ab/T ), neutrophils (CD148ab/gr , CD180ab/gr ) and normal B cells (CD148ab/n , CD180ab/n ) in the differentiation of mature B cell neoplasms (MBN) especially non-chronic lymphocytic leukaemia (CLL). METHODOLOGY The flow cytometric (FCM) expression of CD148 and CD180 was studied prospectively in 102 patients (non-CLL; n = 72); diagnosed by a comprehensive panel of immunophenotypic and cytogenetic studies. The MFI and ratios were statistically compared across MBNs by Mann-Whitney U test. Cut-off values, sensitivity and specificity were calculated for significant parameters by receiver operator characteristic curve. RESULTS CD180MFI > 4.35 showed 100% sensitivity and 90.9% specificity for a diagnosis of marginal zone lymphoma (MZL) while, CD148/180 > 5.15 was 100% specific and 81.8% sensitive for lymphoplasmacytic lymphoma. CD148ab/T (>4.3; 100% specificity, 83.4% sensitivity) and CD148ab/gr (>1.1; 100% sensitivity, 90% sensitivity) were useful for differentiating blastoid-mantle cell lymphoma/MCL from diffuse large B cell lymphoma; while CD148MFI (≥20.25), CD148ab/T (>3.35) and CD148ab/gr (>0.95) showed >90% specificity and sensitivity for distinguishing MCL from CLL. Pairwise analysis also showed a good discriminant function of various parameters for distinguishing SMZL from other MBNs like FL, MCL as well as CLL. CONCLUSIONS The current study shows an excellent utility of CD148MFI, CD180MFI, their ratio and relative expression levels in the subcategorization of immunophenotypically related MBNs.
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Affiliation(s)
- Arambam Gautam
- Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Sreejesh Sreedharanunni
- Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Man Updesh Singh Sachdeva
- Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Sonia Rana
- Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Dharambir Kashyap
- Department of Histopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Parveen Bose
- Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Amanjeet Bal
- Department of Histopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Gaurav Prakash
- Adult Clinical Hematology and Bone Marrow Transplantation Unit, Department of Internal Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Pankaj Malhotra
- Adult Clinical Hematology and Bone Marrow Transplantation Unit, Department of Internal Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Reena Das
- Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Neelam Varma
- Department of Hematology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
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Expression of CD180 in common B cell neoplasms using immunohistochemistry. J Hematop 2020. [DOI: 10.1007/s12308-020-00420-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Roe K, Shu GL, Draves KE, Giordano D, Pepper M, Clark EA. Targeting Antigens to CD180 but Not CD40 Programs Immature and Mature B Cell Subsets to Become Efficient APCs. THE JOURNAL OF IMMUNOLOGY 2019; 203:1715-1729. [PMID: 31484732 DOI: 10.4049/jimmunol.1900549] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 07/29/2019] [Indexed: 12/16/2022]
Abstract
Targeting Ags to the CD180 receptor activates both B cells and dendritic cells (DCs) to become potent APCs. After inoculating mice with Ag conjugated to an anti-CD180 Ab, B cell receptors were rapidly internalized. Remarkably, all B cell subsets, including even transitional 1 B cells, were programed to process, present Ag, and stimulate Ag-specific CD4+ T cells. Within 24-48 hours, Ag-specific B cells were detectable at T-B borders in the spleen; there, they proliferated in a T cell-dependent manner and induced the maturation of T follicular helper (TFH) cells. Remarkably, immature B cells were sufficient for the maturation of TFH cells after CD180 targeting: TFH cells were induced in BAFFR-/- mice (with only transitional 1 B cells) and not in μMT mice (lacking all B cells) following CD180 targeting. Unlike CD180 targeting, CD40 targeting only induced DCs but not B cells to become APCs and thus failed to efficiently induce TFH cell maturation, resulting in slower and lower-affinity IgG Ab responses. CD180 targeting induces a unique program in Ag-specific B cells and to our knowledge, is a novel strategy to induce Ag presentation in both DCs and B cells, especially immature B cells and thus has the potential to produce a broad range of Ab specificities. This study highlights the ability of immature B cells to present Ag to and induce the maturation of cognate TFH cells, providing insights toward vaccination of mature B cell-deficient individuals and implications in treating autoimmune disorders.
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Affiliation(s)
- Kelsey Roe
- Department of Immunology, University of Washington, Seattle, WA 98109
| | - Geraldine L Shu
- Department of Immunology, University of Washington, Seattle, WA 98109
| | - Kevin E Draves
- Department of Immunology, University of Washington, Seattle, WA 98109
| | - Daniela Giordano
- Department of Immunology, University of Washington, Seattle, WA 98109
| | - Marion Pepper
- Department of Immunology, University of Washington, Seattle, WA 98109
| | - Edward A Clark
- Department of Immunology, University of Washington, Seattle, WA 98109
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Wang SA. Issue Highlights-September 2018 (94B5). CYTOMETRY PART B-CLINICAL CYTOMETRY 2019; 94:560-564. [PMID: 30240159 DOI: 10.1002/cyto.b.21740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Sa A Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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McCoy JP. Issue Highlights - September 2016. CYTOMETRY PART B-CLINICAL CYTOMETRY 2018; 90:401-3. [PMID: 27638251 DOI: 10.1002/cyto.b.21477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Panel proposal for the immunophenotypic diagnosis of hematological malignancies. A collaborative consensus from the groupe d'Etude Immunologique des Leucémies (GEIL). CYTOMETRY PART B-CLINICAL CYTOMETRY 2017; 94:542-547. [DOI: 10.1002/cyto.b.21602] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2017] [Revised: 11/11/2017] [Accepted: 11/20/2017] [Indexed: 11/09/2022]
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