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Lafon T, Chapuis N, Guerin E, Daix T, Otranto M, Boumediene A, Jeannet R, Fontenay M, Henri Hani K, Vignon P, Monneret G, François B, Jean-Philippe J, Feuillard J. Along with PaO2/FiO2 ratio and lymphopenia, low HLA-DR monocytes are the only additional parameter that independently predicts the clinical course of undifferentiated SARS-CoV-2 patients in emergency departments. J Leukoc Biol 2024; 115:1131-1142. [PMID: 38366559 DOI: 10.1093/jleuko/qiae022] [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: 09/30/2023] [Revised: 12/28/2023] [Accepted: 01/01/2024] [Indexed: 02/18/2024] Open
Abstract
Because one-third of patients deteriorate after their admission to the emergency department, assessing the prognosis of COVID-19 patients is of great importance. However, to date, only lymphopenia and the partial pressure of oxygen/fraction of inspired oxygen (PaO2/FiO2) ratio have been reported as partly predictive of COVID-19-related further deterioration, and their association has not been evaluated. We asked whether other key biomarkers of SARS-CoV-2 immunologic defects-increase in circulating immature granulocytes, loss of monocyte HLA-DR (mHLA-DR) expression, and monocyte differentiation blockade-could also predict further COVID-19 deterioration. A series of 284 consecutive COVID-19 patients, with the sole inclusion criterion of being an adult, were prospectively enrolled at emergency department admission (day 0) of 2 different hospitals: 1 for the exploratory cohort (180 patients) and 1 for the confirmatory cohort (104 patients). Deterioration was assessed over the next 7 days. Neither increased immature granulocyte levels nor monocyte differentiation blockade predicted patient worsening. Among more than 30 clinical, biological, and radiological parameters, the value of decreased P/F ratio and lymphopenia for prediction of further COVID-19 deterioration was strongly confirmed, and the loss of mHLA-DR was the only additional independent marker. Combined together in a simple OxyLymphoMono score, the 3 variables perfectly predicted patients who did not worsen and correctly predicted worsening in 59% of cases. By highlighting lymphocyte and monocyte defects as preceding COVID-19 deterioration, these results point on early immunosuppression in COVID-19 deterioration. Combining P/F ratio, lymphopenia, and loss of mHLA-DR together in a simple and robust score could offer a pragmatic method for COVID-19 patient stratification.
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Affiliation(s)
- Thomas Lafon
- Emergency Department, University Hospital Center of Limoges, 2 avenue Martin Luther King, 87042 Limoges, France
- Institut National de la Santé et de la Recherche Médicale Centre d'Investigation Clinique 1435, Centre Hospitalier Universitaire Dupuytren, 2 avenue Martin Luther King, 87042 Limoges, France
| | - Nicolas Chapuis
- Institut National de la Santé et de la Recherche Médicale U1016, Centre National de la Recherche Scientifique Unité Mixte de Recherche 8104, Institut Cochin, Université Paris Cité, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France
- Service d'Hématologie Biologique, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France
| | - Estelle Guerin
- Laboratoire d'Hématologie Biologique, Centre Hospitalier Universitaire de Limoges, Centre de Biologie et de Recherche en Santé, rue Bernard Descottes, 87042 Limoges, France
| | - Thomas Daix
- Institut National de la Santé et de la Recherche Médicale Centre d'Investigation Clinique 1435, Centre Hospitalier Universitaire Dupuytren, 2 avenue Martin Luther King, 87042 Limoges, France
- Réanimation Polyvalente, Centre Hospitalier Universitaire de Limoges, 2 avenue Martin Luther King, 87042 Limoges, France
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche 1092, Centre Hospitalier Universitaire Dupuytren, 2 avenue Martin Luther King, 87042 Limoges, France
| | - Marcela Otranto
- Emergency Department, University Hospital Center of Limoges, 2 avenue Martin Luther King, 87042 Limoges, France
| | - Ahmed Boumediene
- Laboratoire Immunologie, Centre Hospitalier Universitaire de Limoges, Centre de Biologie et de Recherche en Santé, rue Bernard Descottes, 87042 Limoges, France
| | - Robin Jeannet
- Institut National de la Santé et de la Recherche Médicale Centre d'Investigation Clinique 1435, Centre Hospitalier Universitaire Dupuytren, 2 avenue Martin Luther King, 87042 Limoges, France
- Unité Mixte de Recherche Centre National de Recherche Scientifique 7276/Institut National de la Santé et de la Recherche Médicale U1262, Contrôle de la Réponse Immune B et Lymphoproliférations, Centre de Biologie et de Recherche en Santé, rue Bernard Descottes, 87025 Limoges, France
| | - Michaela Fontenay
- Institut National de la Santé et de la Recherche Médicale U1016, Centre National de la Recherche Scientifique Unité Mixte de Recherche 8104, Institut Cochin, Université Paris Cité, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France
- Service d'Hématologie Biologique, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France
| | - Karam Henri Hani
- Emergency Department, University Hospital Center of Limoges, 2 avenue Martin Luther King, 87042 Limoges, France
| | - Philippe Vignon
- Institut National de la Santé et de la Recherche Médicale Centre d'Investigation Clinique 1435, Centre Hospitalier Universitaire Dupuytren, 2 avenue Martin Luther King, 87042 Limoges, France
- Réanimation Polyvalente, Centre Hospitalier Universitaire de Limoges, 2 avenue Martin Luther King, 87042 Limoges, France
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche 1092, Centre Hospitalier Universitaire Dupuytren, 2 avenue Martin Luther King, 87042 Limoges, France
| | - Guillaume Monneret
- Laboratoire d'Immunologie, Hôpital E. Herriot, Hospices Civils de Lyon, 5 Pl. d'Arsonval, 69003 Lyon, France
| | - Bruno François
- Institut National de la Santé et de la Recherche Médicale Centre d'Investigation Clinique 1435, Centre Hospitalier Universitaire Dupuytren, 2 avenue Martin Luther King, 87042 Limoges, France
- Réanimation Polyvalente, Centre Hospitalier Universitaire de Limoges, 2 avenue Martin Luther King, 87042 Limoges, France
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche 1092, Centre Hospitalier Universitaire Dupuytren, 2 avenue Martin Luther King, 87042 Limoges, France
| | - Jais Jean-Philippe
- Imagine Institute, Université Paris Cité, 24 Bd du Montparnasse, 75015 Paris, France
- Biostatistic Unit, Necker University Hospital, Assistance Publique-Hôpitaux de Paris, 149 rue de Sèvre, 75015 Paris, France
- Human Genetics of Infectious Diseases: Complex Predisposition, Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche 1163, 24 Bd du Montparnasse, 75015 Paris, France
| | - Jean Feuillard
- Laboratoire d'Hématologie Biologique, Centre Hospitalier Universitaire de Limoges, Centre de Biologie et de Recherche en Santé, rue Bernard Descottes, 87042 Limoges, France
- Unité Mixte de Recherche Centre National de Recherche Scientifique 7276/Institut National de la Santé et de la Recherche Médicale U1262, Contrôle de la Réponse Immune B et Lymphoproliférations, Centre de Biologie et de Recherche en Santé, rue Bernard Descottes, 87025 Limoges, France
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Foucar K, Bagg A, Bueso-Ramos CE, George T, Hasserjian RP, Hsi ED, Orazi A, Tam W, Wang SA, Weinberg OK, Arber DA. Guide to the Diagnosis of Myeloid Neoplasms: A Bone Marrow Pathology Group Approach. Am J Clin Pathol 2023; 160:365-393. [PMID: 37391178 DOI: 10.1093/ajcp/aqad069] [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: 03/17/2023] [Accepted: 05/18/2023] [Indexed: 07/02/2023] Open
Abstract
OBJECTIVES The practicing pathologist is challenged by the ever-increasing diagnostic complexity of myeloid neoplasms. This guide is intended to provide a general roadmap from initial case detection, often triggered by complete blood count results with subsequent blood smear review, to final diagnosis. METHODS The integration of hematologic, morphologic, immunophenotypic, and genetic features into routine practice is standard of care. The requirement for molecular genetic testing has increased along with the complexity of test types, the utility of different testing modalities in identifying key gene mutations, and the sensitivity and turnaround time for various assays. RESULTS Classification systems for myeloid neoplasms have evolved to achieve the goal of providing a pathology diagnosis that enhances patient care, outcome prediction, and treatment options for individual patients and is formulated, endorsed, and adopted by hematologists/oncologists. CONCLUSIONS This guide provides diagnostic strategies for all myeloid neoplasm subtypes. Special considerations are provided for each category of testing and neoplasm category, along with classification information, genetic testing requirements, interpretation information, and case reporting recommendations based on the experience of 11 Bone Marrow Pathology Group members.
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Affiliation(s)
- Kathryn Foucar
- Department of Pathology, University of New Mexico, Albuquerque, NM, US
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, US
| | - Carlos E Bueso-Ramos
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, TX, US
| | - Tracy George
- Department of Pathology, University of Utah, Salt Lake City, UT, US
| | | | - Eric D Hsi
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC, US
| | - Attilio Orazi
- Department of Pathology, Texas Tech University, El Paso, TX, US
| | - Wayne Tam
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Greenvale, NY, US
| | - Sa A Wang
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, TX, US
| | - Olga K Weinberg
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, US
| | - Daniel A Arber
- Department of Pathology, University of Chicago, Chicago, IL, US
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Prakash S, Arber DA, Bueso-Ramos C, Hasserjian RP, Orazi A. Advances in myelodysplastic/myeloproliferative neoplasms. Virchows Arch 2023; 482:69-83. [PMID: 36469102 DOI: 10.1007/s00428-022-03465-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 12/07/2022]
Abstract
The myelodysplastic syndrome/myeloproliferative neoplasms (MDS/MPN) category includes a heterogeneous group of diseases characterized by the co-occurrence of clinical and pathologic features of both myelodysplastic and myeloproliferative neoplasms. The recently published International Consensus Classification of myeloid neoplasms revised the entities included in the MDS/MPN category as well as criteria for their diagnosis. In addition to the presence of one or more increased peripheral blood cell counts as evidence of myeloproliferative features, concomitant cytopenia as evidence of ineffective hematopoiesis is now an explicit requirement to diagnose the diseases included in this category. The increasing availability of modern gene sequencing has allowed better understanding of the biologic characteristics of these myeloid neoplasms. The presence of specific mutations in the appropriate clinicopathologic context is now included in the diagnostic criteria for some of MDS/MPN entities. In this review, we highlight what has changed in the diagnostic criteria of MDS/MPN from the WHO 2016 classification while providing practical guidance in diagnosing these diseases.
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Affiliation(s)
- Sonam Prakash
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Daniel A Arber
- Department of Pathology, University of Chicago, Chicago, IL, USA
| | - Carlos Bueso-Ramos
- Division of Pathology and Laboratory Medicine, Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert P Hasserjian
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Attilio Orazi
- Department of Pathology, Texas Tech University Health Sciences Center, El Paso, TX, USA.
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4
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Patnaik MM, Zeidan AM, Padron E, Platzbecker U, Sallman DA, DeZern AE, Bejar R, Sekeres M, Taylor J, Little RF, Bewersdorf JP, Kim TK, Kim N, Hourigan CS, Dela Porta MG, Stahl M, Steensma D, Xu ML, Odenike O, Carraway H, Fenaux P, Nazha A, Komrokji R, Loghavi S, Xie Z, Hasserjian R, Savona M, Bennett JM. Differences in classification schemata for myelodysplastic/myeloproliferative overlap neoplasms. Leukemia 2022; 36:2934-2938. [PMID: 36335264 DOI: 10.1038/s41375-022-01754-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Mrinal M Patnaik
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Amer M Zeidan
- Section of Hematology, Department of Internal Medicine, Yale University School of Medicine and Yale Cancer Center, New Haven, CT, USA
| | - Eric Padron
- Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
| | - Uwe Platzbecker
- Department of Hematology, University of Leipzig, Leipzig, Germany
| | | | - Amy E DeZern
- Division of Hematologic Malignancies; Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Rafael Bejar
- Division of Hematology and Oncology, Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Mikkael Sekeres
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Justin Taylor
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Richard F Little
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jan P Bewersdorf
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Tae Kon Kim
- Division of Hematology, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Nina Kim
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Matteo G Dela Porta
- Humanitas Clinical and Research Center & Humanitas University, Department of Biomedical Sciences, Milan, Italy
| | - Maximilian Stahl
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | | | - Mina L Xu
- Departments of Pathology & Laboratory Medicine, Yale University School of Medicine and Yale Cancer Center, New Haven, CT, USA
| | - Olatoyosi Odenike
- Section of Hematology/Oncology, the University of Chicago Medicine, Chicago, IL, USA
| | - Hetty Carraway
- Leukemia Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Pierre Fenaux
- Hôpital St Louis, Assistance Publique Hôpitaux de Paris, and Université Paris Cité, Paris, France
| | - Aziz Nazha
- Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Rami Komrokji
- Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
| | - Sanam Loghavi
- Department of Hematopathology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Zhuoer Xie
- Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
| | - Robert Hasserjian
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Michael Savona
- Division of Hematology, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - John M Bennett
- Department of Medicine, Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, USA
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5
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Nie Y, Shao L, Zhang H, He CK, Li H, Zou J, Chen L, Ji H, Tan H, Lin Y, Ru K. Mutational landscape of chronic myelomonocytic leukemia in Chinese patients. Exp Hematol Oncol 2022; 11:32. [PMID: 35610628 PMCID: PMC9128105 DOI: 10.1186/s40164-022-00284-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 05/02/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chronic myelomonocytic leukemia (CMML) is a rare and heterogeneous hematological malignancy. It has been shown that the molecular abnormalities such as ASXL1, TET2, SETBP1, and SRSF2 mutations are common in Caucasian population. METHODS We retrospectively analyzed 178 Chinese CMML patients. The targeted next generation sequencing (NGS) was used to evaluate 114 gene variations, and the prognostic factors for OS were determined by COX regression analysis. RESULTS The CMML patients showed a unique mutational spectrum, including TET2 (36.5%), NRAS (31.5%), ASXL1 (28.7%), SRSF2 (24.7%), and RUNX1 (21.9%). Of the 102 patients with clonal analysis, the ancestral events preferentially occurred in TET2 (18.5%), splicing factors (16.5%), RAS (14.0%), and ASXL1 (7.8%), and the subclonal genes were mainly ASXL1, TET2, and RAS. In addition, the secondary acute myeloid leukemia (sAML) transformed from CMML often had mutations in DNMT3A, ETV6, FLT3, and NPM1, while the primary AML (pAML) demonstrated more mutations in CEBPA, DNMT3A, FLT3, IDH1/2, NPM1, and WT1. It was of note that a series of clones were emerged during the progression from CMML to AML, including DNMT3A, FLT3, and NPM1. By univariate analysis, ASXL1 mutation, intermediate- and high-risk cytogenetic abnormality, CMML-specific prognostic scoring system (CPSS) stratifications (intermediate-2 and high group), and treatment options (best supportive care) predicted for worse OS. Multivariate analysis revealed a similar outcome. CONCLUSIONS The common mutations in Chinese CMML patients included epigenetic modifiers (TET2 and ASXL1), signaling transduction pathway components (NRAS), and splicing factor (SRSF2). The CMML patients with DNMT3A, ETV6, FLT3, and NPM1 mutations tended to progress to sAML. ASXL1 mutation and therapeutic modalities were independent prognostic factors for CMML.
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Affiliation(s)
- Yanbo Nie
- Sino-US Diagnostics Lab, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin, 300385, China
| | - Liang Shao
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Hong Zhang
- Sino-US Diagnostics Lab, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin, 300385, China
| | | | - Hongyu Li
- Sino-US Diagnostics Lab, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin, 300385, China
| | - Junyan Zou
- Sino-US Diagnostics Lab, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin, 300385, China
| | - Long Chen
- Sino-US Diagnostics Lab, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin, 300385, China
| | - Huaiyue Ji
- Sino-US Diagnostics Lab, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin, 300385, China
| | - Hao Tan
- Sino-US Diagnostics Lab, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin, 300385, China
| | - Yani Lin
- Sino-US Diagnostics Lab, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin, 300385, China.
| | - Kun Ru
- Sino-US Diagnostics Lab, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin, 300385, China.
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Chan O, Renneville A, Padron E. Chronic myelomonocytic leukemia diagnosis and management. Leukemia 2021; 35:1552-1562. [PMID: 33714974 DOI: 10.1038/s41375-021-01207-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/23/2021] [Accepted: 02/18/2021] [Indexed: 01/31/2023]
Abstract
Chronic myelomonocytic leukemia (CMML) is a rare, heterogeneous myeloid malignancy classified as a myelodysplastic syndromes/myeloproliferative neoplasm (MDS/MPN) overlap syndrome by the World Health Organization (WHO). Its initial presentation can be incidental or associated with myelodysplastic or myeloproliferative symptoms and up to 20% of patients harbor a concurrent inflammatory or autoimmune condition. Persistent monocytosis is the hallmark of CMML but diagnosis can be challenging. Increased understanding of human monocyte subsets, chromosomal abnormalities, and somatic gene mutations have led to more accurate diagnosis and improved prognostication. A number of risk stratification systems have been developed and validated but using those that incorporate molecular information such as CMML Prognostic Scoring System (CPSS)-Mol, Mayo Molecular, and Groupe Francophone des Myelodysplasies (GFM) are preferred. Symptom-directed approaches forms the basis of CMML management. Outcomes vary substantially depending on risk ranging from observation for a number of years to rapidly progressive disease and acute myeloid leukemia (AML) transformation. Patients who are low risk but with symptoms from cytopenias or proliferative features such as splenomegaly may be treated with hypomethylating agents (HMAs) or cytoreductive therapy, respectively, with the goal of durable symptoms control. Allogeneic hematopoietic cell transplantation should be considered for intermediate to high risk patients. The lack of effective pharmaceutical options has generated interest in novel therapeutics for this disease, and early phase clinical trial results are promising.
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Affiliation(s)
- Onyee Chan
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
| | | | - Eric Padron
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA.
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Hwang SM, Ahn H, Jeon S, Park J, Chang Y, Kim H. Monocyte subsets to differentiate chronic myelomonocytic leukemia from reactive monocytosis. J Clin Lab Anal 2020; 35:e23576. [PMID: 32931067 PMCID: PMC7843289 DOI: 10.1002/jcla.23576] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/13/2020] [Accepted: 08/23/2020] [Indexed: 11/06/2022] Open
Abstract
Background Chronic myelomonocytic leukemia (CMML) is characterized by persistent monocytosis and dysplastic features of blood cells. No specific genetic abnormalities are present in CMML, and reactive monocytosis should be excluded. An increase in classical monocytes (MO1) has been suggested as a screening tool for CMML. Methods We evaluated monocyte subsets in the peripheral blood of patients with CMML (n = 16), patients with reactive monocytosis (n = 19), and normal controls (n = 15) with flow cytometry using antibodies against CD14, CD16, CD56, CD24, CD45, and CD2. The cutoff of MO1 ≥94% was validated, and the optimal cutoff was analyzed with receiver operating curve analysis. Results The sensitivity of monocyte subset testing for screening for CMML was 0.938 (0.717‐0.997), and the specificity was 0.882 (0.734 ‐ 0.953) using the cutoff of MO1 ≥94%. Serial samples from patients who responded to hypomethylating therapy showed an MO1 < 94%. However, few patients with reactive monocytosis, including patients with nonhematologic malignancies and acute myeloid leukemia, showed an increase in the MO1 ≥ 94%. Monocyte subset results were correlated with the response to hypomethylating therapy in follow‐up samples. Conclusion Monocyte subset analysis is useful in screening for and monitoring CMML. Harmonization of the protocols for monocyte subset analysis is required.
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Affiliation(s)
- Sang Mee Hwang
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.,Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Haejin Ahn
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Seungah Jeon
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jun Park
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Yunye Chang
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Hyungsuk Kim
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Department of Laboratory Medicine, Seoul National University Hospital, Seoul, South Korea
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