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Barge L, Gooch M, Hendle M, Simleit E. Real world implementation of flow cytometric monocyte subset partitioning for distinguishing chronic myelomonocytic leukaemia from other causes of monocytosis. Pathology 2023; 55:827-834. [PMID: 37541805 DOI: 10.1016/j.pathol.2023.05.006] [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: 01/13/2023] [Revised: 04/21/2023] [Accepted: 05/05/2023] [Indexed: 08/06/2023]
Abstract
Monocyte subset partitioning by flow cytometry may be a useful tool in distinguishing chronic myelomonocytic leukaemia (CMML) from other causes of monocytosis, however there has been varying success in real world implementation. Additionally, current assays require an individual tube for analysis despite significant overlap in antibodies used in routine T and NK cell analysis. The objective of this study was to validate a flow cytometry assay for the enumeration of monocyte subsets in our community-based laboratory and compare this to a hybrid panel allowing analysis of monocytes, T cells and NK cells in a single tube. Monocyte subset analysis was performed on peripheral blood samples of patients with monocytosis at the time of bone marrow biopsy or transient monocytosis in the setting of bacteraemia. Cut-offs of >94% classical and <1.13% non-classical monocytes for distinguishing CMML were assessed. Classical monocytes were significantly higher, and non-classical monocytes significantly lower in CMML compared to other causes of monocytosis. The sensitivity and specificity of >94% classical monocytes were 73% [95% confidence interval (CI) 43-90%] and 89% (95% CI 75-96%) regardless of which panel was used. Non-classical monocytes of <1.13% had a sensitivity and specificity of 82% (95% CI 52-97%) and 83% (95% CI 68-92%) with the monocyte panel and 55% (95% CI 28-78%) and 89% (95% CI 75-96%) using the hybrid panel. We have found the estimation of the classical monocyte subset to be the most robust and repeatable variation of this assay with sensitivity and specificity that is clinically useful. A hybrid panel may provide an effective approach to implementing monocyte subsets into practice.
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Affiliation(s)
- Luani Barge
- Queensland Medical Laboratories, Murarrie, Qld, Australia; University of Queensland, St Lucia, Qld, Australia.
| | - Michael Gooch
- Queensland Medical Laboratories, Murarrie, Qld, Australia
| | | | - Erin Simleit
- Queensland Medical Laboratories, Murarrie, Qld, Australia
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2
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Christensen ME, Siersma V, Kriegbaum M, Lind BS, Samuelsson J, Østgård LSG, Grønbaek K, Andersen CL. Monocytosis in primary care and risk of haematological malignancies. Eur J Haematol 2023; 110:362-370. [PMID: 36479724 DOI: 10.1111/ejh.13911] [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: 08/31/2022] [Revised: 11/29/2022] [Accepted: 12/01/2022] [Indexed: 12/13/2022]
Abstract
Monocytosis (≥0.5 × 109 /L in peripheral blood) is the hallmark of chronic myelomonocytic leukaemia (CMML) but may be present in a spectrum of diseases including other haematological malignancies. In the primary care sector, monocytosis is a relatively common finding, but its predictive value for haematological malignancy is unknown. We included 663 184 adult primary care patients from the greater Copenhagen area with one or more differential cell counts registered between 2000 and 2016 and followed them in the extensive nationwide Danish health data registers for 3 years after blood sampling. We used logistic regression to model the risk of haematological malignancy and death following monocytosis. Monocytosis was associated with an increased risk of all types of haematological malignancy with the greatest relative risk increase observed in CMML with an OR of 105.22 (95% confidence interval: 38.27-289.30). Sustained monocytosis (at least two requisitions in 3 months) further increased CMML risk, although the diagnosis was still very rare, that is, observed in only 0.1% of these individuals. Outside the haematological setting, the absolute risk of haematological malignancy associated with monocytosis is low and haematological malignancy should mainly be suspected when monocytosis is sustained or the clinical presentation raises suspicion of malignancy.
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Affiliation(s)
- Mathilde Egelund Christensen
- Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Centre for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Volkert Siersma
- Centre for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Margit Kriegbaum
- Centre for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Bent Struer Lind
- Centre for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Biochemistry, Copenhagen University Hospital, Hvidovre, Denmark
| | - Jan Samuelsson
- Department of Haematology, University Hospital Linköping, Linköping, Sweden
| | - Lene Sofie Granfeldt Østgård
- Department of Haematology, Odense University Hospital, Odense, Denmark.,Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
| | - Kirsten Grønbaek
- Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Bio Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark
| | - Christen Lykkegaard Andersen
- Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Centre for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Röhnert MA, Kramer M, Schadt J, Ensel P, Thiede C, Krause SW, Bücklein V, Hoffmann J, Jaramillo S, Schlenk RF, Röllig C, Bornhäuser M, McCarthy N, Freeman S, Oelschlägel U, von Bonin M. Reproducible measurable residual disease detection by multiparametric flow cytometry in acute myeloid leukemia. Leukemia 2022; 36:2208-2217. [PMID: 35851154 PMCID: PMC9417981 DOI: 10.1038/s41375-022-01647-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 06/24/2022] [Accepted: 07/01/2022] [Indexed: 11/08/2022]
Abstract
Measurable residual disease (MRD) detected by multiparametric flow cytometry (MFC) is associated with unfavorable outcome in patients with AML. A simple, broadly applicable eight-color panel was implemented and analyzed utilizing a hierarchical gating strategy with fixed gates to develop a clear-cut LAIP-based DfN approach. In total, 32 subpopulations with aberrant phenotypes with/without expression of markers of immaturity were monitored in 246 AML patients after completion of induction chemotherapy. Reference values were established utilizing 90 leukemia-free controls. Overall, 73% of patients achieved a response by cytomorphology. In responders, the overall survival was shorter for MRDpos patients (HR 3.8, p = 0.006). Overall survival of MRDneg non-responders was comparable to MRDneg responders. The inter-rater-reliability for MRD detection was high with a Krippendorffs α of 0.860. The mean time requirement for MRD analyses at follow-up was very short with 04:31 minutes. The proposed one-tube MFC approach for detection of MRD allows a high level of standardization leading to a promising inter-observer-reliability with a fast turnover. MRD defined by this strategy provides relevant prognostic information and establishes aberrancies outside of cell populations with markers of immaturity as an independent risk feature. Our results imply that this strategy may provide the base for multicentric immunophenotypic MRD assessment.
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Affiliation(s)
- Maximilian A Röhnert
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany.
| | - Michael Kramer
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Jonas Schadt
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Philipp Ensel
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Christian Thiede
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
- AgenDix GmbH, Dresden, Germany
| | - Stefan W Krause
- Department of Medicine 5, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Veit Bücklein
- Department of Medicine III, University Hospital LMU Munich, Munich, Germany
- Laboratory for Translational Cancer Immunology, Gene Center, LMU Munich, Munich, Germany
| | - Jörg Hoffmann
- Department of Internal Medicine and Hematology, Oncology and Immunology, Philipps University Marburg and University Hospital Giessen and Marburg, Marburg, Germany
| | - Sonia Jaramillo
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Richard F Schlenk
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- NCT Trial Center, National Center of Tumor Diseases, German Cancer Research Center, Heidelberg, Germany
| | - Christoph Röllig
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Martin Bornhäuser
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
- National Center of Tumor Diseases, Dresden, Germany
| | - Nicholas McCarthy
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Sylvie Freeman
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Uta Oelschlägel
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Malte von Bonin
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
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Mangaonkar AA, Tande AJ, Bekele DI. Differential Diagnosis and Workup of Monocytosis: A Systematic Approach to a Common Hematologic Finding. Curr Hematol Malig Rep 2021; 16:267-275. [PMID: 33880680 PMCID: PMC8057007 DOI: 10.1007/s11899-021-00618-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2021] [Indexed: 12/19/2022]
Abstract
Purpose of Review Monocytosis is a frequently encountered clinical condition that needs appropriate investigation due to a broad range of differential diagnoses. This review is meant to summarize the latest literature in the diagnostic testing and interpretation and offer a stepwise diagnostic approach for a patient presenting with monocytosis. Recent Findings Basic studies have highlighted the phenotypic and functional heterogeneity in the monocyte compartment. Studies, both translational and clinical, have provided insights into why monocytosis occurs and how to distinguish the different etiologies. Flow cytometry studies have illustrated that monocyte repartitioning can distinguish chronic myelomonocytic leukemia, a prototypical neoplasm with monocytosis from other reactive or neoplastic causes. Summary In summary, we provide an algorithmic approach to the diagnosis of a patient presenting with monocytosis and expect this document to serve as a reference guide for clinicians.
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Affiliation(s)
| | - Aaron J Tande
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN, USA
| | - Delamo I Bekele
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
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Shameli A, Dharmani-Khan P, Luider J, Auer I, Shabani-Rad MT. Exploring blast composition in myelodysplastic syndromes and myelodysplastic/myeloproliferative neoplasms: CD45RA and CD371 improve diagnostic value of flow cytometry through assessment of myeloblast heterogeneity and stem cell aberrancy. CYTOMETRY PART B-CLINICAL CYTOMETRY 2020; 100:574-589. [PMID: 33369070 PMCID: PMC8519034 DOI: 10.1002/cyto.b.21983] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 11/07/2020] [Accepted: 12/15/2020] [Indexed: 12/12/2022]
Abstract
Background Flow cytometry immunophenotyping (FCIP) can improve diagnosis of myelodysplastic syndromes (MDS) and myelodysplastic/myeloproliferative neoplasms (MDS/MPN), although its application is challenging due to difficulties in standardization, complexity of antibody panels and subjective interpretation of data. Since blasts are invariably affected in these disorders, we developed a FCIP approach for detailed and objective analysis of the blast population. Methods FCIP using a one‐tube 10‐color (13‐marker) antibody panel was performed on bone marrow samples from 23 MDS and 8 MDS/MPN patients, 21 cytopenic patients non‐diagnostic for MDS (Non‐MDS), and 16 Control samples. Results MDS and MDS/MPN cases demonstrated one to several immunophenotypic abnormalities including: increased myeloblasts, decreased stage‐1 hematogones, aberrant stem cells, abnormal myeloblast heterogeneity/divergence from normal, increased or decreased CD45 intensity, increased CD117 or CD123 intensity, decreased CD38 intensity, and aberrant expression of lineage markers (CD5, CD19, CD56). A Blast score was developed that showed sensitivity of 80.6% and specificity of 90.5% for immunophenotypic diagnosis of MDS and MDS/MPN. Expression levels of CD45RA and CD371 were used to evaluate abnormal myeloblast heterogeneity and stem cell aberrancy. Both these features were, for the first time, incorporated into a scoring system and resulted in 19% increase in the sensitivity of the assay for lower‐risk MDS. Conclusion Deep immunophenotypic analysis of the blast population is valuable for diagnosis of MDS and MDS/MPN and can potentially provide sensitivity and specificity figures comparable to those previously described using more comprehensive panels that assess maturing myelomonocytic and erythroid elements in addition to progenitor cells.
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Affiliation(s)
- Afshin Shameli
- Division of Hematology, Alberta Precision Laboratories, South Zone, Department of Pathology & Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Poonam Dharmani-Khan
- Division of Hematology, Alberta Precision Laboratories, South Zone, Department of Pathology & Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Joanne Luider
- Division of Hematology, Alberta Precision Laboratories, South Zone, Department of Pathology & Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Iwona Auer
- Division of Hematology, Alberta Precision Laboratories, South Zone, Department of Pathology & Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Meer-Taher Shabani-Rad
- Division of Hematology, Alberta Precision Laboratories, South Zone, Department of Pathology & Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
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Valent P. Oligo-monocytic CMML and other pre-CMML states: Clinical impact, prognostication and management. Best Pract Res Clin Haematol 2019; 33:101137. [PMID: 32460976 DOI: 10.1016/j.beha.2019.101137] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 12/11/2019] [Accepted: 12/13/2019] [Indexed: 11/18/2022]
Abstract
Chronic myelomonocytic leukemia (CMML) is defined by myelodysplasia, pathologic accumulation of monocytes and a substantial risk to transform to secondary acute myeloid leukemia (sAML). In recent years, minimal diagnostic criteria for classical CMML and CMML-variants were proposed. Moreover, potential pre-stages of CMML and interface conditions have been postulated. Oligomonocytic CMML is a condition where the absolute peripheral blood monocyte count does not reach a diagnostic level but all other criteria for CMML are fulfilled. Among potential pre-stages of CMML, clonal and non-clonal conditions have been described, including idiopathic monocytosis (IMUS) and clonal monocytosis of unknown significance (CMUS). Patients with myelodysplastic syndromes (MDS), clonal cytopenia of unknown significance (CCUS), clonal hematopoiesis of indeterminate potential (CHIP) and idiopathic cytopenia of undetermined significance (ICUS) may also progress to CMML. The current article provides an overview of pre-CMML conditions and oligomonocytic CMML, with special reference to diagnostic criteria, differential diagnoses, clinical outcomes and management.
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Affiliation(s)
- Peter Valent
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Vienna, Austria; Ludwig Boltzmann Institute for Hematology & Oncology, Vienna, Austria.
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Janos K. Issue Highlights - November 2018. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019; 94:884-886. [PMID: 30537249 DOI: 10.1002/cyto.b.21757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Valent P, Orazi A, Savona MR, Patnaik MM, Onida F, van de Loosdrecht AA, Haase D, Haferlach T, Elena C, Pleyer L, Kern W, Pemovska T, Vladimer GI, Schanz J, Keller A, Lübbert M, Lion T, Sotlar K, Reiter A, De Witte T, Pfeilstöcker M, Geissler K, Padron E, Deininger M, Orfao A, Horny HP, Greenberg PL, Arber DA, Malcovati L, Bennett JM. Proposed diagnostic criteria for classical chronic myelomonocytic leukemia (CMML), CMML variants and pre-CMML conditions. Haematologica 2019; 104:1935-1949. [PMID: 31048353 PMCID: PMC6886439 DOI: 10.3324/haematol.2019.222059] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 04/29/2019] [Indexed: 12/15/2022] Open
Abstract
Chronic myelomonocytic leukemia (CMML) is a myeloid neoplasm characterized by dysplasia, abnormal production and accumulation of monocytic cells and an elevated risk of transforming into acute leukemia. Over the past two decades, our knowledge about the pathogenesis and molecular mechanisms in CMML has increased substantially. In parallel, better diagnostic criteria and therapeutic strategies have been developed. However, many questions remain regarding prognostication and optimal therapy. In addition, there is a need to define potential pre-phases of CMML and special CMML variants, and to separate these entities from each other and from conditions mimicking CMML. To address these unmet needs, an international consensus group met in a Working Conference in August 2018 and discussed open questions and issues around CMML, its variants, and pre-CMML conditions. The outcomes of this meeting are summarized herein and include diag nostic criteria and a proposed classification of pre-CMML conditions as well as refined minimal diagnostic criteria for classical CMML and special CMML variants, including oligomonocytic CMML and CMML associated with systemic mastocytosis. Moreover, we propose diagnostic standards and tools to distinguish between 'normal', pre-CMML and CMML entities. These criteria and standards should facilitate diagnostic and prognostic evaluations in daily practice and clinical studies in applied hematology.
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Affiliation(s)
- Peter Valent
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Vienna, Austria .,Ludwig Boltzmann Institute for Hematology & Oncology, Vienna, Austria
| | - Attilio Orazi
- Department of Pathology, Texas Tech University Health Sciences Center, El Paso, TX, USA
| | - Michael R Savona
- Department of Medicine, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Mrinal M Patnaik
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Francesco Onida
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Arjan A van de Loosdrecht
- Department of Hematology, Amsterdam UMC, location VU University Medical Center, Cancer Center Amsterdam, the Netherlands
| | - Detlef Haase
- Clinic of Hematology and Medical Oncology, University Medical Center Göttingen, Göttingen, Germany
| | | | - Chiara Elena
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Lisa Pleyer
- 3 Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases, Paracelsus Medical University, Salzburg, Austria
| | | | - Tea Pemovska
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Gregory I Vladimer
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Julie Schanz
- Clinic of Hematology and Medical Oncology, University Medical Center Göttingen, Göttingen, Germany
| | - Alexandra Keller
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Michael Lübbert
- Department of Medicine I, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Thomas Lion
- Children's Cancer Research Institute and Department of Pediatrics, Medical University of Vienna, Vienna, Austria
| | - Karl Sotlar
- Institute of Pathology, Paracelsus Medical University, Salzburg, Austria
| | - Andreas Reiter
- Department of Hematology and Oncology, University Hospital Mannheim, University of Heidelberg, Mannheim, Germany
| | - Theo De Witte
- Department of Tumor Immunology-Nijmegen Center for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Michael Pfeilstöcker
- Ludwig Boltzmann Institute for Hematology & Oncology, Vienna, Austria.,3 Medical Department, Hanusch Hospital, Vienna, Vienna, Austria
| | | | - Eric Padron
- Malignant Hematology Department, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Michael Deininger
- Huntsman Cancer Institute & Division of Hematology and Hematologic Malignancies, University of Utah, Salt Lake City, UT, USA
| | - Alberto Orfao
- Servicio Central de Citometría, Centro de Investigación del Cáncer (IBMCC, CSIC-USAL), CIBERONC and IBSAL, Universidad de Salamanca, Salamanca, Spain
| | - Hans-Peter Horny
- Institute of Pathology, Ludwig-Maximilians University, Munich, Germany
| | | | - Daniel A Arber
- Department of Pathology, University of Chicago, Chicago, IL, USA
| | - Luca Malcovati
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - John M Bennett
- Department of Pathology, Hematopathology Unit and James P Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA
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