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Seheult JN, Otteson GE, Jevremovic D, Horna P, Timm MM, Yuan J, Morice WG, Olteanu H, Shi M. Establishing NK-Cell Receptor Restriction by Flow Cytometry and Detecting Potential NK-Cell Clones of Uncertain Significance. Mod Pathol 2023; 36:100255. [PMID: 37385341 DOI: 10.1016/j.modpat.2023.100255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 07/01/2023]
Abstract
Natural killer (NK) cells develop a complex inhibitory and/or activating NK-cell receptor system, including killer cell immunoglobulin-like receptors (KIRs or CD158) and CD94/NKG2 dimers, which are variably combined to generate the individual's NK-cell receptor repertoire. Establishing NK-cell receptor restriction by flow cytometric immunophenotyping is an important step in diagnosing NK-cell neoplasms, but reference interval (RI) data for interpreting these studies are lacking. Specimens from 145 donors and 63 patients with NK-cell neoplasms were used to identify discriminatory rules based on 95% and 99% nonparametric RIs for CD158a+, CD158b+, CD158e+, KIR-negative, and NKG2A+ NK-cell populations to establish NK-cell receptor restriction. These 99% upper RI limits (NKG2a >88% or CD158a >53% or CD158b >72% or CD158e >54% or KIR-negative >72%) provided optimal discrimination between NK-cell neoplasm cases and healthy donor controls with an accuracy of 100% compared with the clinicopathologic diagnosis. The selected rules were applied to 62 consecutive samples received in our flow cytometry laboratory that were reflexed to an NK-cell panel due to an expanded NK-cell percentage (exceeding 40% of total lymphocytes). Twenty-two (35%) of 62 samples were found to harbor a very small NK-cell population with restricted NK-cell receptor expression based on the rule combination, suggestive of NK-cell clonality. A thorough clinicopathologic evaluation for the 62 patients did not reveal diagnostic features of NK-cell neoplasms; therefore, these potential clonal populations of NK cells were designated as NK-cell clones of uncertain significance (NK-CUS). In this study, we established decision rules for NK-cell receptor restriction from the largest published cohorts of healthy donors and NK-cell neoplasms. The presence of small NK-cell populations with restricted NK-cell receptors does not appear to be an uncommon finding, and its significance requires further exploration.
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Affiliation(s)
- Jansen N Seheult
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Gregory E Otteson
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Dragan Jevremovic
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Pedro Horna
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Michael M Timm
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Ji Yuan
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - William G Morice
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Horatiu Olteanu
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Min Shi
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
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2
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Barilà G, Grassi A, Cheon H, Teramo A, Calabretto G, Chahal J, Vicenzetto C, Almeida J, Shemo BC, Shi M, Gasparini VR, Munoz-Garcia N, Pastoret C, Nakazawa H, Oshimi K, Sokol L, Ishida F, Lamy T, Orfao A, Morice WG, Loughran TP, Semenzato G, Zambello R. Tγδ LGLL identifies a subset with more symptomatic disease: analysis of an international cohort of 137 patients. Blood 2023; 141:1036-1046. [PMID: 36096473 PMCID: PMC10163282 DOI: 10.1182/blood.2021013489] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 11/20/2022] Open
Abstract
Tγδ large granular lymphocyte leukemia (LGLL) is a rare variant of T-cell LGLL (T-LGLL) that has been less investigated as compared with the more frequent Tαβ LGLL, particularly in terms of frequency of STAT3 and STAT5b mutations. In this study, we characterized the clinical and biological features of 137 patients affected by Tγδ LGLL; data were retrospectively collected from 1997 to 2020 at 8 referral centers. Neutropenia and anemia were the most relevant clinical features, being present in 54.2% and 49.6% of cases, respectively, including severe neutropenia and anemia in ∼20% of cases each. Among the various treatments, cyclosporine A was shown to provide the best response rates. DNA samples of 97 and 94 cases were available for STAT3 and STAT5b mutation analysis, with 38.1% and 4.2% of cases being mutated, respectively. Clinical and biological features of our series of Tγδ cases were also compared with a recently published Tαβ cohort including 129 cases. Though no differences in STAT3 and STAT5b mutational frequency were found, Tγδ cases more frequently presented with neutropenia (P = .0161), anemia (P < .0001), severe anemia (P = .0065), and thrombocytopenia (P = .0187). Moreover, Vδ2- cases displayed higher frequency of symptomatic disease. Overall, Tγδ cases displayed reduced survival with respect to Tαβ cases (P = .0017). Although there was no difference in STAT3 mutation frequency, our results showed that Tγδ LGLL represents a subset of T-LGLL characterized by more frequent symptoms and reduced survival as compared with Tαβ LGLL.
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Affiliation(s)
- Gregorio Barilà
- Department of Medicine, Hematology and Clinical Immunology Section, Padua University School of Medicine, Padua, Italy
- Veneto Institute of Molecular Medicine, Padua, Italy
| | - Angela Grassi
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology, IOV-IRCCS, Padua, Italy
| | - HeeJin Cheon
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA
| | - Antonella Teramo
- Department of Medicine, Hematology and Clinical Immunology Section, Padua University School of Medicine, Padua, Italy
- Veneto Institute of Molecular Medicine, Padua, Italy
| | - Giulia Calabretto
- Department of Medicine, Hematology and Clinical Immunology Section, Padua University School of Medicine, Padua, Italy
- Veneto Institute of Molecular Medicine, Padua, Italy
| | - Jasmanet Chahal
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA
| | - Cristina Vicenzetto
- Department of Medicine, Hematology and Clinical Immunology Section, Padua University School of Medicine, Padua, Italy
- Veneto Institute of Molecular Medicine, Padua, Italy
| | - Julia Almeida
- Department of Medicine and Cytometry Service, Cancer Research Center (Institute of Molecular and Cell Biology of Cancer-Consejo Superior de Investigaciones Científicas/Universidad de Salamanca), University of Salamanca, Instituto de Investigación Biomédica de Salamanca and Centro de Investigación Biomédica en Red en Oncología, Salamanca, Spain
| | - Bryna C Shemo
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA
| | - Min Shi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, NY
| | - Vanessa Rebecca Gasparini
- Department of Medicine, Hematology and Clinical Immunology Section, Padua University School of Medicine, Padua, Italy
- Veneto Institute of Molecular Medicine, Padua, Italy
| | - Noemi Munoz-Garcia
- Department of Medicine and Cytometry Service, Cancer Research Center (Institute of Molecular and Cell Biology of Cancer-Consejo Superior de Investigaciones Científicas/Universidad de Salamanca), University of Salamanca, Instituto de Investigación Biomédica de Salamanca and Centro de Investigación Biomédica en Red en Oncología, Salamanca, Spain
| | - Cédric Pastoret
- Department of Hematology, Rennes University Hospital, Rennes, France
| | - Hideyuki Nakazawa
- Department of Biomedical Laboratory Sciences, Shinshu University School of Medicine, Matsumoto, Japan
| | - Kazuo Oshimi
- Department of Medicine, Division of Hematology, Kushiro Rosai Hospital, Kushiro, Japan
| | - Lubomir Sokol
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL
| | - Fumihiro Ishida
- Department of Biomedical Laboratory Sciences, Shinshu University School of Medicine, Matsumoto, Japan
| | - Thierry Lamy
- Department of Hematology, Rennes University Hospital, Rennes, France
| | - Alberto Orfao
- Department of Medicine and Cytometry Service, Cancer Research Center (Institute of Molecular and Cell Biology of Cancer-Consejo Superior de Investigaciones Científicas/Universidad de Salamanca), University of Salamanca, Instituto de Investigación Biomédica de Salamanca and Centro de Investigación Biomédica en Red en Oncología, Salamanca, Spain
| | - William G Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, NY
| | - Thomas P Loughran
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA
| | - Gianpietro Semenzato
- Department of Medicine, Hematology and Clinical Immunology Section, Padua University School of Medicine, Padua, Italy
- Veneto Institute of Molecular Medicine, Padua, Italy
| | - Renato Zambello
- Department of Medicine, Hematology and Clinical Immunology Section, Padua University School of Medicine, Padua, Italy
- Veneto Institute of Molecular Medicine, Padua, Italy
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3
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Kaufman HW, Meyer WA, Clarke NJ, Radcliff J, Rank CM, Freeman J, Eisenberg M, Gillim L, Morice WG, Briscoe DM, Perlin DS, Wohlgemuth JG. Assessing Vulnerability to COVID-19 in High-Risk Populations: The Role of SARS-CoV-2 Spike-Targeted Serology. Popul Health Manag 2023; 26:29-36. [PMID: 36799932 DOI: 10.1089/pop.2022.0241] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023] Open
Abstract
Individuals at increased risk for severe coronavirus disease-2019 (COVID-19) outcomes, due to compromised immunity or other risk factors, would benefit from objective measures of vulnerability to infection based on vaccination or prior infection. The authors reviewed published data to identify a specific role and interpretation of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) spike-targeted serology testing. Specific recommendations are provided for an evidence-based and clinically-useful interpretation of SARS-CoV-2 spike-targeted serology to identify vulnerability to infection and potential subsequent adverse outcomes. Decreased vaccine effectiveness among immunocompromised individuals is linked to correspondingly high rates of breakthrough infections. Negative results on SARS-CoV-2 antibody tests are associated with increased risk for subsequent infection. "Low-positive" results on semiquantitative SARS-CoV-2 spike-targeted antibody tests may help identify persons at increased risk as well. Standardized SARS-CoV-2 spike-targeted antibody tests may provide objective information on the risk of SARS-CoV-2 infection and associated adverse outcomes. This holds especially for high-risk populations that demonstrate a relatively high rate of seronegativity. The widespread availability of such tests presents an opportunity to refine risk assessment for individuals with suboptimal SARS-CoV-2 antibody levels and to promote effective interventions. Interim federal guidance would support physicians and patients while additional investigations are pursued.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - David S Perlin
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, New Jersey, USA
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4
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Vachon CM, Norman AD, Prasad K, Jensen D, Schaeferle GM, Vierling KL, Sherden M, Majerus MR, Bews KA, Heinzen EP, Hebl A, Yost KJ, Kennedy RB, Theel ES, Ghosh A, Fries M, Wi CI, Juhn YJ, Sampathkumar P, Morice WG, Rocca WA, Tande AJ, Cerhan JR, Limper AH, Ting HH, Farrugia G, Carter RE, Finney Rutten LJ, Jacobson RM, St. Sauver J. Rates of Asymptomatic COVID-19 Infection and Associated Factors in Olmsted County, Minnesota, in the Prevaccination Era. Mayo Clin Proc Innov Qual Outcomes 2022; 6:605-617. [PMID: 36277251 PMCID: PMC9578336 DOI: 10.1016/j.mayocpiqo.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Objective To estimate rates and identify factors associated with asymptomatic COVID-19 in the population of Olmsted County during the prevaccination era. Patients and Methods We screened first responders (n=191) and Olmsted County employees (n=564) for antibodies to SARS-CoV-2 from November 1, 2020 to February 28, 2021 to estimate seroprevalence and asymptomatic infection. Second, we retrieved all polymerase chain reaction (PCR)-confirmed COVID-19 diagnoses in Olmsted County from March 2020 through January 2021, abstracted symptom information, estimated rates of asymptomatic infection and examined related factors. Results Twenty (10.5%; 95% CI, 6.9%-15.6%) first responders and 38 (6.7%; 95% CI, 5.0%-9.1%) county employees had positive antibodies; an additional 5 (2.6%) and 10 (1.8%) had prior positive PCR tests per self-report or medical record, but no antibodies detected. Of persons with symptom information, 4 of 20 (20%; 95% CI, 3.0%-37.0%) first responders and 10 of 39 (26%; 95% CI, 12.6%-40.0%) county employees were asymptomatic. Of 6020 positive PCR tests in Olmsted County with symptom information between March 1, 2020, and January 31, 2021, 6% (n=385; 95% CI, 5.8%-7.1%) were asymptomatic. Factors associated with asymptomatic disease included age (0-18 years [odds ratio {OR}, 2.3; 95% CI, 1.7-3.1] and >65 years [OR, 1.40; 95% CI, 1.0-2.0] compared with ages 19-44 years), body mass index (overweight [OR, 0.58; 95% CI, 0.44-0.77] or obese [OR, 0.48; 95% CI, 0.57-0.62] compared with normal or underweight) and tests after November 20, 2020 ([OR, 1.35; 95% CI, 1.13-1.71] compared with prior dates). Conclusion Asymptomatic rates in Olmsted County before COVID-19 vaccine rollout ranged from 6% to 25%, and younger age, normal weight, and later tests dates were associated with asymptomatic infection.
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Affiliation(s)
- Celine M. Vachon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Aaron D. Norman
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Kavita Prasad
- Integrative Medicine, Zumbro Valley Health Center, Mayo Clinic, Rochester, MN
| | - Dan Jensen
- Department of Health, Housing and Human Services Administration, Olmsted County Public Health, Mayo Clinic, Rochester, MN
| | - Gavin M. Schaeferle
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Kristy L. Vierling
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Meaghan Sherden
- Department of Epidemiology, Surveillance and Preparedness Team, Olmsted County Public Health, Mayo Clinic, Rochester, MN
| | | | - Katherine A. Bews
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Ethan P. Heinzen
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Amy Hebl
- Department of Human Resources, Olmsted County, Mayo Clinic, Rochester, MN
| | - Kathleen J. Yost
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Richard B. Kennedy
- Vaccine Research Group, Division of General Internal Medicine, Mayo Clinic, Rochester, MN
| | - Elitza S. Theel
- Department of Laboratory Medicine and Pathology, Division of Clinical Microbiology, Mayo Clinic, Rochester, MN
| | - Aditya Ghosh
- Department of Internal Medicine, Northeast Georgia Medical Center, Gainesville, GA
| | | | - Chung-Il Wi
- Department of Precision Population Science Lab, Mayo Clinic, Rochester, MN
| | - Young J. Juhn
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN
| | - Priya Sampathkumar
- Division of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, MN
| | - William G. Morice
- Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, MN
| | - Walter A. Rocca
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
- Department of Neurology and Women’s Health Research Center, Mayo Clinic, Rochester, MN
| | - Aaron J. Tande
- Division of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, MN
| | - James R. Cerhan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Andrew H. Limper
- Department of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN
| | - Henry H. Ting
- Department of Cardiology, Emory University, Atlanta, GA
| | - Gianrico Farrugia
- Division of Gastroenterology & Hepatology, Department of Medicine, Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN
| | - Rickey E. Carter
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL
| | | | - Robert M. Jacobson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN
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5
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de Leval L, Alizadeh AA, Bergsagel PL, Campo E, Davies A, Dogan A, Fitzgibbon J, Horwitz SM, Melnick AM, Morice WG, Morin RD, Nadel B, Pileri SA, Rosenquist R, Rossi D, Salaverria I, Steidl C, Treon SP, Zelenetz AD, Advani RH, Allen CE, Ansell SM, Chan WC, Cook JR, Cook LB, d’Amore F, Dirnhofer S, Dreyling M, Dunleavy K, Feldman AL, Fend F, Gaulard P, Ghia P, Gribben JG, Hermine O, Hodson DJ, Hsi ED, Inghirami G, Jaffe ES, Karube K, Kataoka K, Klapper W, Kim WS, King RL, Ko YH, LaCasce AS, Lenz G, Martin-Subero JI, Piris MA, Pittaluga S, Pasqualucci L, Quintanilla-Martinez L, Rodig SJ, Rosenwald A, Salles GA, San-Miguel J, Savage KJ, Sehn LH, Semenzato G, Staudt LM, Swerdlow SH, Tam CS, Trotman J, Vose JM, Weigert O, Wilson WH, Winter JN, Wu CJ, Zinzani PL, Zucca E, Bagg A, Scott DW. Genomic profiling for clinical decision making in lymphoid neoplasms. Blood 2022; 140:2193-2227. [PMID: 36001803 PMCID: PMC9837456 DOI: 10.1182/blood.2022015854] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/15/2022] [Indexed: 01/28/2023] Open
Abstract
With the introduction of large-scale molecular profiling methods and high-throughput sequencing technologies, the genomic features of most lymphoid neoplasms have been characterized at an unprecedented scale. Although the principles for the classification and diagnosis of these disorders, founded on a multidimensional definition of disease entities, have been consolidated over the past 25 years, novel genomic data have markedly enhanced our understanding of lymphomagenesis and enriched the description of disease entities at the molecular level. Yet, the current diagnosis of lymphoid tumors is largely based on morphological assessment and immunophenotyping, with only few entities being defined by genomic criteria. This paper, which accompanies the International Consensus Classification of mature lymphoid neoplasms, will address how established assays and newly developed technologies for molecular testing already complement clinical diagnoses and provide a novel lens on disease classification. More specifically, their contributions to diagnosis refinement, risk stratification, and therapy prediction will be considered for the main categories of lymphoid neoplasms. The potential of whole-genome sequencing, circulating tumor DNA analyses, single-cell analyses, and epigenetic profiling will be discussed because these will likely become important future tools for implementing precision medicine approaches in clinical decision making for patients with lymphoid malignancies.
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Affiliation(s)
- Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Ash A. Alizadeh
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
- Stanford Cancer Institute, Stanford University, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA
| | - P. Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Phoenix, AZ
| | - Elias Campo
- Haematopathology Section, Hospital Clínic, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Andrew Davies
- Centre for Cancer Immunology, University of Southampton, Southampton, United Kingdom
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jude Fitzgibbon
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Steven M. Horwitz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - William G. Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Ryan D. Morin
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Bertrand Nadel
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France
| | - Stefano A. Pileri
- Haematopathology Division, IRCCS, Istituto Europeo di Oncologia, IEO, Milan, Italy
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Solna, Sweden
| | - Davide Rossi
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | | | - Andrew D. Zelenetz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Ranjana H. Advani
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
| | - Carl E. Allen
- Division of Pediatric Hematology-Oncology, Baylor College of Medicine, Houston, TX
| | | | - Wing C. Chan
- Department of Pathology, City of Hope National Medical Center, Duarte, CA
| | - James R. Cook
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Lucy B. Cook
- Centre for Haematology, Imperial College London, London, United Kingdom
| | - Francesco d’Amore
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Kieron Dunleavy
- Division of Hematology and Oncology, Georgetown Lombardi Comprehensive Cancer Centre, Georgetown University Hospital, Washington, DC
| | - Andrew L. Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Falko Fend
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Philippe Gaulard
- Department of Pathology, University Hospital Henri Mondor, AP-HP, Créteil, France
- Faculty of Medicine, IMRB, INSERM U955, University of Paris-Est Créteil, Créteil, France
| | - Paolo Ghia
- Università Vita-Salute San Raffaele and IRCCS Ospedale San Raffaele, Milan, Italy
| | - John G. Gribben
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Olivier Hermine
- Service D’hématologie, Hôpital Universitaire Necker, Université René Descartes, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Daniel J. Hodson
- Wellcome MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Eric D. Hsi
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Giorgio Inghirami
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Elaine S. Jaffe
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Kennosuke Karube
- Department of Pathology and Laboratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keisuke Kataoka
- Division of Molecular Oncology, National Cancer Center Research Institute, Toyko, Japan
- Division of Hematology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Wolfram Klapper
- Hematopathology Section and Lymph Node Registry, Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Won Seog Kim
- Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea
| | - Rebecca L. King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Young H. Ko
- Department of Pathology, Cheju Halla General Hospital, Jeju, Korea
| | | | - Georg Lenz
- Department of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Muenster, Germany
| | - José I. Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Miguel A. Piris
- Department of Pathology, Jiménez Díaz Foundation University Hospital, CIBERONC, Madrid, Spain
| | - Stefania Pittaluga
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Laura Pasqualucci
- Institute for Cancer Genetics, Columbia University, New York, NY
- Department of Pathology & Cell Biology, Columbia University, New York, NY
- The Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Scott J. Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | | | - Gilles A. Salles
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jesus San-Miguel
- Clínica Universidad de Navarra, Navarra, Cancer Center of University of Navarra, Cima Universidad de NavarraI, Instituto de Investigacion Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Céncer, Pamplona, Spain
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Laurie H. Sehn
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Gianpietro Semenzato
- Department of Medicine, University of Padua and Veneto Institute of Molecular Medicine, Padova, Italy
| | - Louis M. Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Steven H. Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Judith Trotman
- Haematology Department, Concord Repatriation General Hospital, Sydney, Australia
| | - Julie M. Vose
- Department of Internal Medicine, Division of Hematology-Oncology, University of Nebraska Medical Center, Omaha, NE
| | - Oliver Weigert
- Department of Medicine III, LMU Hospital, Munich, Germany
| | - Wyndham H. Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jane N. Winter
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Pier L. Zinzani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna Istitudo di Ematologia “Seràgnoli” and Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale Università di Bologna, Bologna, Italy
| | - Emanuele Zucca
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
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6
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Abstract
Durable T-cell responses to SARS-CoV-2 antigens after infection or vaccination improve immune-mediated viral clearance. To date, population-based surveys of COVID-19 adaptive immunity have focused on testing for IgG antibodies that bind spike protein and/or neutralize the virus. Deployment of existing methods for measuring T-cell immunity could provide a more complete profile of immune status, informing public health policies and interventions.
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Affiliation(s)
- Santosha Vardhana
- Lymphoma Service, Division of Hematologic Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Lance Baldo
- Adaptive Biotechnologies, Seattle, Washington, USA
| | - William G Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - E John Wherry
- Department of Systems Pharmacology & Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Parker Institute for Cancer Immunotherapy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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7
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Sankaranarayanan S, Balan J, Walsh JR, Wu Y, Minnich S, Piazza A, Osborne C, Oliver GR, Lesko J, Bates KL, Khezeli K, Block DR, DiGuardo M, Kreuter J, O'Horo JC, Kalantari J, Klee EW, Salama ME, Kipp B, Morice WG, Jenkinson G. COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation. J Med Internet Res 2021; 23:e30157. [PMID: 34449401 PMCID: PMC8480399 DOI: 10.2196/30157] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/18/2021] [Accepted: 08/11/2021] [Indexed: 12/16/2022] Open
Abstract
Background COVID-19 is caused by the SARS-CoV-2 virus and has strikingly heterogeneous clinical manifestations, with most individuals contracting mild disease but a substantial minority experiencing fulminant cardiopulmonary symptoms or death. The clinical covariates and the laboratory tests performed on a patient provide robust statistics to guide clinical treatment. Deep learning approaches on a data set of this nature enable patient stratification and provide methods to guide clinical treatment. Objective Here, we report on the development and prospective validation of a state-of-the-art machine learning model to provide mortality prediction shortly after confirmation of SARS-CoV-2 infection in the Mayo Clinic patient population. Methods We retrospectively constructed one of the largest reported and most geographically diverse laboratory information system and electronic health record of COVID-19 data sets in the published literature, which included 11,807 patients residing in 41 states of the United States of America and treated at medical sites across 5 states in 3 time zones. Traditional machine learning models were evaluated independently as well as in a stacked learner approach by using AutoGluon, and various recurrent neural network architectures were considered. The traditional machine learning models were implemented using the AutoGluon-Tabular framework, whereas the recurrent neural networks utilized the TensorFlow Keras framework. We trained these models to operate solely using routine laboratory measurements and clinical covariates available within 72 hours of a patient’s first positive COVID-19 nucleic acid test result. Results The GRU-D recurrent neural network achieved peak cross-validation performance with 0.938 (SE 0.004) as the area under the receiver operating characteristic (AUROC) curve. This model retained strong performance by reducing the follow-up time to 12 hours (0.916 [SE 0.005] AUROC), and the leave-one-out feature importance analysis indicated that the most independently valuable features were age, Charlson comorbidity index, minimum oxygen saturation, fibrinogen level, and serum iron level. In the prospective testing cohort, this model provided an AUROC of 0.901 and a statistically significant difference in survival (P<.001, hazard ratio for those predicted to survive, 95% CI 0.043-0.106). Conclusions Our deep learning approach using GRU-D provides an alert system to flag mortality for COVID-19–positive patients by using clinical covariates and laboratory values within a 72-hour window after the first positive nucleic acid test result.
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Affiliation(s)
| | | | | | - Yanhong Wu
- Mayo Clinic, Rochester, MN, United States
| | | | - Amy Piazza
- Mayo Clinic, Rochester, MN, United States
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8
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Horna P, Olteanu H, Jevremovic D, Otteson GE, Corley H, Ding W, Parikh SA, Shah MV, Morice WG, Shi M. Single-Antibody Evaluation of T-Cell Receptor β Constant Chain Monotypia by Flow Cytometry Facilitates the Diagnosis of T-Cell Large Granular Lymphocytic Leukemia. Am J Clin Pathol 2021; 156:139-148. [PMID: 33438036 DOI: 10.1093/ajcp/aqaa214] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES The diagnosis of T-cell large granular lymphocytic leukemia (T-LGLL) is challenging because of overlapping immunophenotypic features with reactive T cells and limitations of T-cell clonality assays. We studied whether adding an antibody against T-cell receptor β constant region 1 (TRBC1) to a comprehensive flow cytometry panel could facilitate the diagnosis of T-LGLL. METHODS We added TRBC1 antibody to the standard T-cell and natural killer (NK) cell panel to assess T-cell clonality in 56 T-LGLLs and 34 reactive lymphocytoses. In addition, 20 chronic lymphoproliferative disorder of NK cells (CLPD-NKs) and 10 reactive NK-cell lymphocytoses were analyzed. RESULTS Clonal T cells were detected in all available T-LGLLs by monotypic TRBC1 expression and clonal/equivocal T-cell receptor gene rearrangement (TCGR) studies, compared with only 27% of T-LGLLs by killer-cell immunoglobulin-like receptor (KIR) restriction. Overall, 85% of T-LGLLs had a blood tumor burden greater than 500 cells/µL. Thirty-four reactive cases showed polytypic TRBC1 expression, except for 5 that revealed small T-cell clones of uncertain significance. All CLPD-NKs showed expected clonal KIR expression and negative TRBC1 expression. CONCLUSIONS Addition of TRBC1 antibody to the routine flow cytometry assay could replace the TCGR molecular study and KIR flow cytometric analysis to assess clonality, simplifying the diagnosis of T-LGLL.
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Affiliation(s)
- Pedro Horna
- Departments of Laboratory Medicine and Pathology, Rochester, MN
| | - Horatiu Olteanu
- Departments of Laboratory Medicine and Pathology, Rochester, MN
| | | | | | - Heidi Corley
- Departments of Laboratory Medicine and Pathology, Rochester, MN
| | - Wei Ding
- Hematology, Mayo Clinic, Rochester, MN
| | | | | | | | - Min Shi
- Departments of Laboratory Medicine and Pathology, Rochester, MN
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9
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Carter RE, Theel ES, Breeher LE, Swift MD, Van Brunt NA, Smith WR, Blanchfield LL, Daugherty EA, Chapital AB, Matson KM, Bews KA, Johnson PW, Domnick RA, Joyce DE, Geyer HL, Granger D, Hilgart HR, Turgeon CT, Sanders KA, Matern D, Nassar A, Sampathkumar P, Hainy CM, Orford RR, Vachon CM, Didehban R, Morice WG, Ting HH, Williams AW, Gray RJ, Thielen KR, Farrugia G. Prevalence of SARS-CoV-2 Antibodies in a Multistate Academic Medical Center. Mayo Clin Proc 2021; 96:1165-1174. [PMID: 33958053 PMCID: PMC7997730 DOI: 10.1016/j.mayocp.2021.03.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 02/26/2021] [Accepted: 03/09/2021] [Indexed: 01/14/2023]
Abstract
OBJECTIVE To estimate the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in health care personnel. METHODS The Mayo Clinic Serology Screening Program was created to provide a voluntary, two-stage testing program for SARS-CoV-2 antibodies to health care personnel. The first stage used a dried blood spot screening test initiated on June 15, 2020. Those participants identified as reactive were advised to have confirmatory testing via a venipuncture. Venipuncture results through August 8, 2020, were considered. Consent and authorization for testing was required to participate in the screening program. This report, which was conducted under an institutional review board-approved protocol, only includes employees who have further authorized their records for use in research. RESULTS A total of 81,113 health care personnel were eligible for the program, and of these 29,606 participated in the screening program. A total of 4284 (14.5%) of the dried blood spot test results were "reactive" and warranted confirmatory testing. Confirmatory testing was completed on 4094 (95.6%) of the screen reactive with an overall seroprevalence rate of 0.60% (95% CI, 0.52% to 0.69%). Significant variation in seroprevalence was observed by region of the country and age group. CONCLUSION The seroprevalence for SARS-CoV-2 antibodies through August 8, 2020, was found to be lower than previously reported in other health care organizations. There was an observation that seroprevalence may be associated with community disease burden.
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10
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O'Horo JC, Cerhan JR, Cahn EJ, Bauer PR, Temesgen Z, Ebbert J, Abril A, Abu Saleh OM, Assi M, Berbari EF, Bierle DM, Bosch W, Burger CD, Cano Cevallos EJ, Clements CM, Carmona Porquera EM, Castillo Almeida NE, Challener DW, Chesdachai S, Comba IY, Corsini Campioli CG, Crane SJ, Dababneh AS, Enzler MJ, Fadel HJ, Ganesh R, De Moraes AG, Go JR, Gordon JE, Gurram PR, Guru PK, Halverson EL, Harrison MF, Heaton HA, Hurt R, Kasten MJ, Lee AS, Levy ER, Libertin CR, Mallea JM, Marshall WF, Matcha G, Meehan AM, Franco PM, Morice WG, O'Brien JJ, Oeckler R, Ommen S, Oravec CP, Orenstein R, Ough NJ, Palraj R, Patel BM, Pureza VS, Pickering B, Phelan DM, Razonable RR, Rizza S, Sampathkumar P, Sanghavi DK, Sen A, Siegel JL, Singbartl K, Shah AS, Shweta F, Speicher LL, Suh G, Tabaja H, Tande A, Ting HH, Tontz RC, Vaillant JJ, Vergidis P, Warsame MY, Yetmar ZA, Zomok CCD, Williams AW, Badley AD. Outcomes of COVID-19 With the Mayo Clinic Model of Care and Research. Mayo Clin Proc 2021; 96:601-618. [PMID: 33673913 PMCID: PMC7831394 DOI: 10.1016/j.mayocp.2020.12.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 12/11/2020] [Accepted: 12/15/2020] [Indexed: 01/02/2023]
Abstract
OBJECTIVE To report the Mayo Clinic experience with coronavirus disease 2019 (COVID-19) related to patient outcomes. METHODS We conducted a retrospective chart review of patients with COVID-19 diagnosed between March 1, 2020, and July 31, 2020, at any of the Mayo Clinic sites. We abstracted pertinent comorbid conditions such as age, sex, body mass index, Charlson Comorbidity Index variables, and treatments received. Factors associated with hospitalization and mortality were assessed in univariate and multivariate models. RESULTS A total of 7891 patients with confirmed COVID-19 infection with research authorization on file received care across the Mayo Clinic sites during the study period. Of these, 7217 patients were adults 18 years or older who were analyzed further. A total of 897 (11.4%) patients required hospitalization, and 354 (4.9%) received care in the intensive care unit (ICU). All hospitalized patients were reviewed by a COVID-19 Treatment Review Panel, and 77.5% (695 of 897) of inpatients received a COVID-19-directed therapy. Overall mortality was 1.2% (94 of 7891), with 7.1% (64 of 897) mortality in hospitalized patients and 11.3% (40 of 354) in patients requiring ICU care. CONCLUSION Mayo Clinic outcomes of patients with COVID-19 infection in the ICU, hospital, and community compare favorably with those reported nationally. This likely reflects the impact of interprofessional multidisciplinary team evaluation, effective leveraging of clinical trials and available treatments, deployment of remote monitoring tools, and maintenance of adequate operating capacity to not require surge adjustments. These best practices can help guide other health care systems with the continuing response to the COVID-19 pandemic.
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Key Words
- apache iv, acute physiology and chronic health evaluation iv
- ards, acute respiratory distress syndrome
- bmi, body mass index
- cci, charlson comorbidity index
- covid-19, coronavirus disease 2019
- eap, expanded access program
- ecmo, extracorporeal membrane oxygenation
- ehr, electronic health record
- icd-10, international classification of diseases, tenth revision
- icu, intensive care unit
- los, length of stay
- nih, national institutes of health
- or, odds ratio
- sars-cov-2, severe acute respiratory syndrome coronavirus 2
- sofa, sequential organ failure assessment
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Affiliation(s)
- John Charles O'Horo
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN; Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN
| | - James R Cerhan
- Division of Health Science Research, Mayo Clinic, Rochester, MN
| | - Elliot J Cahn
- Division of Health Science Research, Mayo Clinic, Rochester, MN
| | - Philippe R Bauer
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN
| | | | - Jon Ebbert
- Division of Community Internal Medicine, Mayo Clinic, Rochester, MN
| | - Andy Abril
- Division of Rheumatology, Mayo Clinic, Jacksonville, FL
| | | | - Mariam Assi
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Elie F Berbari
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Dennis M Bierle
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN
| | - Wendelyn Bosch
- Division of Infectious Diseases, Mayo Clinic, Jacksonville, FL
| | - Charles D Burger
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Jacksonville, FL
| | | | | | - Eva M Carmona Porquera
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN; Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN
| | | | | | | | - Isin Y Comba
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | | | - Sarah J Crane
- Division of Community Internal Medicine, Mayo Clinic, Rochester, MN
| | - Ala S Dababneh
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Mark J Enzler
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Hind J Fadel
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Ravindra Ganesh
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN
| | | | - John R Go
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Joel E Gordon
- Department of Family Medicine, Mayo Clinic Health System, Mankato, MN
| | - Pooja R Gurram
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Pramod K Guru
- Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL
| | | | | | | | - Ryan Hurt
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN
| | - Mary J Kasten
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Augustine S Lee
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Jacksonville, FL
| | - Emily R Levy
- Division of Pediatric Critical Care Medicine, Mayo Clinic, Rochester, MN; Division of Pediatric Infectious Diseases, Mayo Clinic, Rochester, MN
| | | | - Jorge M Mallea
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Jacksonville, FL
| | | | - Gautam Matcha
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Anne M Meehan
- Division of Hospital Medicine, Mayo Clinic, Rochester, MN
| | | | - William G Morice
- Department of Laboratory Medicine Pathology, Mayo Clinic, Rochester, MN
| | - Jennifer J O'Brien
- Department of Laboratory Medicine Pathology, Mayo Clinic, Jacksonville, FL
| | - Richard Oeckler
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN; Division of Infectious Diseases, Mayo Clinic, Scottsdale, AZ
| | - Steve Ommen
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN
| | | | | | - Natalie J Ough
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Raj Palraj
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Bhavesh M Patel
- Department of Critical Care Medicine, Mayo Clinic, Scottsdale, AZ
| | - Vincent S Pureza
- Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN
| | - Brian Pickering
- Division of Intensive Care, Department of Anesthesia, Mayo Clinic, Rochester, MN
| | - David M Phelan
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | | | - Stacey Rizza
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | | | | | - Ayan Sen
- Department of Critical Care Medicine, Mayo Clinic, Scottsdale, AZ
| | | | - Kai Singbartl
- Department of Critical Care, Mayo Clinic, Rochester, MN
| | - Aditya S Shah
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Fnu Shweta
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Leigh L Speicher
- Division of General Internal Medicine, Mayo Clinic, Jacksonville, FL
| | - Gina Suh
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Hussam Tabaja
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Aaron Tande
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN
| | - Henry H Ting
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL
| | - Russell C Tontz
- Division of Occupational Medicine, Mayo Clinic Health System, Mankato, MN
| | | | | | | | | | | | - Amy W Williams
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN
| | - Andrew D Badley
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN; Department of Molecular Medicine, Mayo Clinic, Rochester, MN.
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11
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Agarwal V, Venkatakrishnan AJ, Puranik A, Kirkup C, Lopez-Marquez A, Challener DW, Theel ES, O'Horo JC, Binnicker MJ, Kremers WK, Faubion WA, Badley AD, Williams AW, Gores GJ, Halamka JD, Morice WG, Soundararajan V. Long-term SARS-CoV-2 RNA shedding and its temporal association to IgG seropositivity. Cell Death Discov 2020; 6:138. [PMID: 33298894 PMCID: PMC7709096 DOI: 10.1038/s41420-020-00375-y] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 11/05/2020] [Accepted: 11/13/2020] [Indexed: 12/13/2022] Open
Abstract
Longitudinal characterization of SARS-CoV-2 PCR testing from COVID-19 patient's nasopharynx and its juxtaposition with blood-based IgG-seroconversion diagnostic assays is critical to understanding SARS-CoV-2 infection durations. Here, we retrospectively analyze 851 SARS-CoV-2-positive patients with at least two positive PCR tests and find that 99 of these patients remain SARS-CoV-2-positive after 4 weeks from their initial diagnosis date. For the 851-patient cohort, the mean lower bound of viral RNA shedding was 17.3 days (SD: 7.8), and the mean upper bound of viral RNA shedding from 668 patients transitioning to confirmed PCR-negative status was 22.7 days (SD: 11.8). Among 104 patients with an IgG test result, 90 patients were seropositive to date, with mean upper bound of time to seropositivity from initial diagnosis being 37.8 days (95% CI: 34.3-41.3). Our findings from juxtaposing IgG and PCR tests thus reveal that some SARS-CoV-2-positive patients are non-hospitalized and seropositive, yet actively shed viral RNA (14 of 90 patients). This study emphasizes the need for monitoring viral loads and neutralizing antibody titers in long-term non-hospitalized shedders as a means of characterizing the SARS-CoV-2 infection lifecycle.
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Affiliation(s)
- Vineet Agarwal
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA, 02142, USA
| | - A J Venkatakrishnan
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA, 02142, USA
| | - Arjun Puranik
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA, 02142, USA
| | - Christian Kirkup
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA, 02142, USA
| | | | | | | | | | | | | | | | | | | | | | | | - William G Morice
- Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Laboratories, Rochester, MN, USA
| | - Venky Soundararajan
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA, 02142, USA.
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12
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Pawlowski C, Wagner T, Puranik A, Murugadoss K, Loscalzo L, Venkatakrishnan AJ, Pruthi RK, Houghton DE, O'Horo JC, Morice WG, Williams AW, Gores GJ, Halamka J, Badley AD, Barnathan ES, Makimura H, Khan N, Soundararajan V. Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC). eLife 2020; 9:59209. [PMID: 32804081 PMCID: PMC7473767 DOI: 10.7554/elife.59209] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 08/14/2020] [Indexed: 01/05/2023] Open
Abstract
Temporal inference from laboratory testing results and triangulation with clinical outcomes extracted from unstructured electronic health record (EHR) provider notes is integral to advancing precision medicine. Here, we studied 246 SARS-CoV-2 PCR-positive (COVIDpos) patients and propensity-matched 2460 SARS-CoV-2 PCR-negative (COVIDneg) patients subjected to around 700,000 lab tests cumulatively across 194 assays. Compared to COVIDneg patients at the time of diagnostic testing, COVIDpos patients tended to have higher plasma fibrinogen levels and lower platelet counts. However, as the infection evolves, COVIDpos patients distinctively show declining fibrinogen, increasing platelet counts, and lower white blood cell counts. Augmented curation of EHRs suggests that only a minority of COVIDpos patients develop thromboembolism, and rarely, disseminated intravascular coagulopathy (DIC), with patients generally not displaying platelet reductions typical of consumptive coagulopathies. These temporal trends provide fine-grained resolution into COVID-19 associated coagulopathy (CAC) and set the stage for personalizing thromboprophylaxis.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - William G Morice
- Mayo Clinic, Rochester, United States.,Mayo Clinic Laboratories, Rochester, United States
| | | | | | - John Halamka
- Mayo Clinic, Rochester, United States.,Mayo Clinic Platform, Rochester, United States
| | | | - Elliot S Barnathan
- Janssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States
| | - Hideo Makimura
- Janssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States
| | - Najat Khan
- Janssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States
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13
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Foucar K, Hsi ED, Wang SA, Rogers HJ, Hasserjian RP, Bagg A, George TI, Bassett RL, Peterson LC, Morice WG, Arber DA, Orazi A, Bueso-Ramos CE. Concordance among hematopathologists in classifying blasts plus promonocytes: A bone marrow pathology group study. Int J Lab Hematol 2020; 42:418-422. [PMID: 32297416 DOI: 10.1111/ijlh.13212] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 03/20/2020] [Accepted: 03/23/2020] [Indexed: 02/03/2023]
Abstract
Enumeration of blasts and promonocytes is essential for World Health Organization (WHO) classification of myelomonocytic neoplasms. The accuracy of distinguishing blasts, promonocytes and monocytes, including normal vs abnormal monocytes, remains controversial. The objective of this analysis is to assess concordances between experienced hematopathologists in classifying cells as blasts, promonocytes, and monocytes according to WHO criteria. Each of 11 hematopathologists assessed glass slides from 20 patients [12 with chronic myelomonocytic leukemia (CMML) and 8 with acute myeloid leukemia (AML)] including blood and BM aspirate smears, and limited nonspecific esterase (NSE) stains. All cases were blindly reviewed. Fleiss' extension of Cohen's kappa for multiple raters was used on these variables, separately for peripheral blood (PB) and bone marrow (BM). Spearman's rank correlation was used to assess correlations between each pair of hematopathologists for each measurement. For the classification based on the sum of blasts and promonocytes in the BM, Fleiss' kappa was estimated as 0.744. For PB, categorizing patients according to the sum of blasts and promonocytes, Fleiss' kappa was estimated as 0.949. Distinction of abnormal monocytes from normal monocytes in PB did not achieve a good concordance and showed strong evidence of differences between hematopathologists (P < .0001). The hematopathologists achieved a good concordance rate of 74% in CMML vs AML classification and a high k rate, confirming that criteria for defining the blasts equivalents (blasts plus promonocytes) could be applied consistently. Identification of monocyte subtypes (abnormal vs normal) was not concordant. Our results support the practice of combining blasts/promonocytes into a single category.
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Affiliation(s)
- Kathryn Foucar
- Department of Pathology, University of New Mexico, Albuquerque, New Mexico
| | - Eric D Hsi
- Department of Laboratory Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Sa A Wang
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Heesun J Rogers
- Department of Laboratory Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Robert P Hasserjian
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Tracy I George
- Department of Pathology, University of New Mexico, Albuquerque, New Mexico
| | - Roland L Bassett
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - LoAnn C Peterson
- Department of Pathology, Northwestern University, Chicago, Illinois
| | - William G Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Daniel A Arber
- Department of Pathology, University of Chicago, Chicago, Illinois
| | - Attilio Orazi
- Department of Pathology, Texas Tech University, El Paso, Texas
| | - Carlos E Bueso-Ramos
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, Texas
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14
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Agarwal V, Venkatakrishnan AJ, Puranik A, Kirkup C, Lopez-Marquez A, Challener DW, O’Horo JC, Binnicker MJ, Kremers WK, Faubion WA, Badley AD, Williams AW, Gores GJ, Halamka JD, Morice WG, Soundararajan V. Long-term SARS-CoV-2 RNA Shedding and its Temporal Association to IgG Seropositivity. medRxiv 2020:2020.06.02.20120774. [PMID: 32577666 PMCID: PMC7302207 DOI: 10.1101/2020.06.02.20120774] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Analysis of 851 COVID-19 patients with a SARS-CoV-2-positive PCR at follow-up shows 99 patients remained SARS-CoV-2-positive after four weeks from initial diagnosis. Surprisingly, a majority of these long-term viral RNA shedders were not hospitalized (61 of 99), with variable PCR Crossing point values over the month post diagnosis. For the 851-patient cohort, the mean lower bound of viral RNA shedding was 17.3 days (SD: 7.8), and the mean upper bound of viral RNA shedding from 668 patients transitioning to confirmed PCR-negative status was 22.7 days (SD: 11.8). Among 104 patients with an IgG test result, 90 patients were seropositive to date, with mean upper bound of time to seropositivity from initial diagnosis being 37.8 days (95%CI: 34.3-41.3). Juxtaposing IgG/PCR tests revealed that 14 of 90 patients are non-hospitalized and seropositive yet shed viral RNA. This study emphasizes the need for monitoring viral loads and neutralizing antibody titers in long-term shedders.
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Affiliation(s)
- Vineet Agarwal
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA 02142, USA
| | - AJ Venkatakrishnan
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA 02142, USA
| | - Arjun Puranik
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA 02142, USA
| | - Christian Kirkup
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA 02142, USA
| | | | | | | | | | | | | | | | | | | | - John D. Halamka
- Mayo Clinic, Rochester MN, USA
- Mayo Clinic Platform, Rochester MN, USA
| | - William G. Morice
- Mayo Clinic, Rochester MN, USA
- Mayo Clinic Laboratories, Rochester MN, USA
| | - Venky Soundararajan
- nference, inc., One Main Street, Suite 400, East Arcade, Cambridge, MA 02142, USA
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15
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Wagner T, Shweta FNU, Murugadoss K, Awasthi S, Venkatakrishnan AJ, Bade S, Puranik A, Kang M, Pickering BW, O'Horo JC, Bauer PR, Razonable RR, Vergidis P, Temesgen Z, Rizza S, Mahmood M, Wilson WR, Challener D, Anand P, Liebers M, Doctor Z, Silvert E, Solomon H, Anand A, Barve R, Gores G, Williams AW, Morice WG, Halamka J, Badley A, Soundararajan V. Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis. eLife 2020; 9:e58227. [PMID: 32633720 PMCID: PMC7410498 DOI: 10.7554/elife.58227] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/06/2020] [Indexed: 01/09/2023] Open
Abstract
Understanding temporal dynamics of COVID-19 symptoms could provide fine-grained resolution to guide clinical decision-making. Here, we use deep neural networks over an institution-wide platform for the augmented curation of clinical notes from 77,167 patients subjected to COVID-19 PCR testing. By contrasting Electronic Health Record (EHR)-derived symptoms of COVID-19-positive (COVIDpos; n = 2,317) versus COVID-19-negative (COVIDneg; n = 74,850) patients for the week preceding the PCR testing date, we identify anosmia/dysgeusia (27.1-fold), fever/chills (2.6-fold), respiratory difficulty (2.2-fold), cough (2.2-fold), myalgia/arthralgia (2-fold), and diarrhea (1.4-fold) as significantly amplified in COVIDpos over COVIDneg patients. The combination of cough and fever/chills has 4.2-fold amplification in COVIDpos patients during the week prior to PCR testing, in addition to anosmia/dysgeusia, constitutes the earliest EHR-derived signature of COVID-19. This study introduces an Augmented Intelligence platform for the real-time synthesis of institutional biomedical knowledge. The platform holds tremendous potential for scaling up curation throughput, thus enabling EHR-powered early disease diagnosis.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - William G Morice
- Mayo ClinicRochesterUnited States
- Mayo Clinic LaboratoriesRochesterUnited States
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16
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Wagner T, Shweta F, Murugadoss K, Awasthi S, Venkatakrishnan AJ, Bade S, Puranik A, Kang M, Pickering BW, O'Horo JC, Bauer PR, Razonable RR, Vergidis P, Temesgen Z, Rizza S, Mahmood M, Wilson WR, Challener D, Anand P, Liebers M, Doctor Z, Silvert E, Solomon H, Anand A, Barve R, Gores G, Williams AW, Morice WG, Halamka J, Badley A, Soundararajan V. Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis. eLife 2020; 9:58227. [PMID: 32633720 DOI: 10.1101/2020.04.19.20067660] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/06/2020] [Indexed: 05/27/2023] Open
Abstract
Understanding temporal dynamics of COVID-19 symptoms could provide fine-grained resolution to guide clinical decision-making. Here, we use deep neural networks over an institution-wide platform for the augmented curation of clinical notes from 77,167 patients subjected to COVID-19 PCR testing. By contrasting Electronic Health Record (EHR)-derived symptoms of COVID-19-positive (COVIDpos; n = 2,317) versus COVID-19-negative (COVIDneg; n = 74,850) patients for the week preceding the PCR testing date, we identify anosmia/dysgeusia (27.1-fold), fever/chills (2.6-fold), respiratory difficulty (2.2-fold), cough (2.2-fold), myalgia/arthralgia (2-fold), and diarrhea (1.4-fold) as significantly amplified in COVIDpos over COVIDneg patients. The combination of cough and fever/chills has 4.2-fold amplification in COVIDpos patients during the week prior to PCR testing, in addition to anosmia/dysgeusia, constitutes the earliest EHR-derived signature of COVID-19. This study introduces an Augmented Intelligence platform for the real-time synthesis of institutional biomedical knowledge. The platform holds tremendous potential for scaling up curation throughput, thus enabling EHR-powered early disease diagnosis.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - William G Morice
- Mayo Clinic, Rochester, United States
- Mayo Clinic Laboratories, Rochester, United States
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17
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Sidiqi MH, Aljama MA, Jevremovic D, Morice WG, Timm M, Buadi FK, Warsame R, Lacy MQ, Dispenzieri A, Dingli D, Gonsalves WI, Kumar S, Kapoor P, Kourelis T, Leung N, Hogan WJ, Muchtar E, Lust JA, Rajkumar VS, Gertz MA. Plasma cell proliferative index post-transplant is a powerful predictor of prognosis in myeloma patients failing to achieve a complete response. Bone Marrow Transplant 2018; 54:442-447. [PMID: 30087461 DOI: 10.1038/s41409-018-0280-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 06/20/2018] [Accepted: 06/26/2018] [Indexed: 11/09/2022]
Abstract
Myeloma patients failing to achieve a complete response post autologous stem cell transplantation are heterogeneous, some ultimately achieving deeper responses and prolonged remission, whilst others relapse rapidly with poor outcomes. We evaluated the prognostic impact of the plasma cell proliferative index (PCPI) post-therapy, in 382 patients with myeloma failing to achieve complete response at 100 days post-transplant. Sixty percent (n = 230) of patients had zero clonal or too few clonal plasma cells to accurately assess PCPI (No PCPI). The remaining 40% (n = 152) of patients had PCPI performed with 79% (n = 120) having a low PCPI and 21% (n = 32) having an elevated PCPI. Patients with an elevated PCPI had significantly shorter progression free and overall survival. The median PFS was 8 months for elevated PCPI vs. 19 months for low PCPI vs. 24 months for no PCPI (p < 0.0001). The median OS was 27 months for elevated PCPI vs. 79 months for low PCPI vs. not reached for no PCPI, p < 0.0001). On multivariable analysis post-therapy PCPI was an independent predictor of progression free and overall survival. The PCPI post-therapy is a powerful predictor of survival and risk stratifies myeloma patients failing to achieve complete response early in the disease course.
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Affiliation(s)
- M Hasib Sidiqi
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Mohammed A Aljama
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Dragan Jevremovic
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, USA
| | - William G Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, USA
| | - Michael Timm
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, USA
| | - Francis K Buadi
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Rahma Warsame
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Martha Q Lacy
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Angela Dispenzieri
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - David Dingli
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Wilson I Gonsalves
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Shaji Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Prashant Kapoor
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Taxiarchis Kourelis
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Nelson Leung
- Division of Nephrology and Hypertension, Mayo Clinic Rochester, Rochester, USA
| | - William J Hogan
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Eli Muchtar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - John A Lust
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Vincent S Rajkumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA
| | - Morie A Gertz
- Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, USA.
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18
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Fang H, Kapoor P, Gonsalves WI, Frederick LA, Viswanatha D, Howard MT, He R, Morice WG, McPhail ED, Greipp PT, Ansell SM, Kyle RA, Gertz MA, Paludo J, Abeykoon J, King RL. Defining Lymphoplasmacytic Lymphoma: Does MYD88L265P Define a Pathologically Distinct Entity Among Patients With an IgM Paraprotein and Bone Marrow-Based Low-Grade B-Cell Lymphomas With Plasmacytic Differentiation? Am J Clin Pathol 2018; 150:168-176. [PMID: 29868855 DOI: 10.1093/ajcp/aqy041] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVES Lymphoplasmacytic lymphoma (LPL) remains a poorly defined entity, even with the discovery of MYD88L265P mutations and association with Waldenström macroglobulinemia (WM). Among bone marrow (BM)-based, low-grade B-cell lymphoma with plasmacytic differentiation (LGBLPD) and immunoglobulin M (IgM) paraproteins, we sought to determine whether MYD88L265P defines a distinct entity and can help refine diagnostic criteria for LPL. METHODS BMs diagnosed with LGBLPD or LPL and serum IgM paraprotein were studied (2007-2013). Clinicopathologic features were reviewed and specimens were tested for MYD88L265P. RESULTS In total, 138 (87%) of 159 cases had MYD88L265P, and 158 of 159 were clinically considered WM. MYD88L265P cases had higher disease burden than MYD88WT. Features associated with MYD88L265P include increased mast cells and lymphocyte (not plasma cell)-predominant infiltrate. Hemosiderin, Dutcher bodies, and paratrabecular growth were not associated with MYD88L265P. CONCLUSIONS Our data support a clinicopathologic approach to LPL diagnosis and recognition that it may manifest with varying morphologies, phenotypes, and molecular features.
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Affiliation(s)
- Hong Fang
- Division of Hematopathology, Mayo Clinic, Rochester, MN
| | | | | | | | | | | | - Rong He
- Division of Hematopathology, Mayo Clinic, Rochester, MN
| | | | | | | | | | | | | | - Jonas Paludo
- Division of Hematology, Mayo Clinic, Rochester, MN
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19
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Neff JL, Rangan A, Jevremovic D, Nguyen PL, Chiu A, Go RS, Chen D, Morice WG, Shi M. Mixed-phenotype large granular lymphocytic leukemia: a rare subtype in the large granular lymphocytic leukemia spectrum. Hum Pathol 2018; 81:96-104. [PMID: 29949739 DOI: 10.1016/j.humpath.2018.06.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 06/01/2018] [Accepted: 06/09/2018] [Indexed: 01/18/2023]
Abstract
Large granular lymphocytic leukemia (LGLL) is a chronic proliferation of cytotoxic lymphocytes in which more than 70% of patients develop cytopenia(s) requiring therapy. LGLL includes T-cell LGLL and chronic lymphoproliferative disorder of natural killer (NK) cells. The neoplastic cells in LGLL usually exhibit a single immunophenotype in a patient, with CD8-positive/αβ T-cell type being the most common, followed by NK-cell, γδ T-cell, and CD4-positive/αβ T-cell types. We investigated a total of 220 LGLL cases and identified 12 mixed-phenotype LGLLs (5%): 7 cases with coexistent αβ T-cell and NK-cell clones and 5 with coexistent αβ and γδ T-cell clones. With a median follow-up of 48 months, the clinicopathological characteristics of these patients seemed similar to those of typical LGLL patients. Treatment was instituted in 9 patients, and 5 patients (55%) attained complete hematologic response or partial response. The therapeutic response rate of this cohort is comparable to the reported overall response rate of 40% to 60% in typical LGLL patients. Three patients who did not receive any treatment had progressive or persistent cytopenias. Interestingly, inverted proportions of 2 clones at disease recurrence were identified in 4 patients (36%) and stable clonal proportions in 7 patients (64%). Mixed-phenotype LGLL is rare, and this study underscores the importance of recognizing this rare type of LGLL in patients who may benefit from LGLL treatment.
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Affiliation(s)
- Jadee L Neff
- Division of Hematopathology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN 55905, USA
| | - Aruna Rangan
- Division of Hematopathology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN 55905, USA
| | - Dragan Jevremovic
- Division of Hematopathology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN 55905, USA
| | - Phuong L Nguyen
- Division of Hematopathology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN 55905, USA
| | - April Chiu
- Division of Hematopathology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN 55905, USA
| | - Ronald S Go
- Division of Hematology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN 55905, USA
| | - Dong Chen
- Division of Hematopathology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN 55905, USA
| | - William G Morice
- Division of Hematopathology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN 55905, USA
| | - Min Shi
- Division of Hematopathology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN 55905, USA.
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20
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Sidiqi MH, Aljama MA, Jevremovic D, Morice WG, Timm M, Buadi FK, Warsame R, Lacy MQ, Dispenzieri A, Dingli D, Gonsalves WI, Kumar S, Kapoor P, Kourelis T, Leung N, Hogan WJ, Gertz M. Plasma cell proliferative index predicts outcome in immunoglobulin light chain amyloidosis treated with stem cell transplantation. Haematologica 2018; 103:1229-1234. [PMID: 29674497 PMCID: PMC6029535 DOI: 10.3324/haematol.2018.189985] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 04/16/2018] [Indexed: 11/25/2022] Open
Abstract
The plasma cell proliferative index provides an insight into plasma cell biology in plasma cell disorders and is an important prognostic marker in myeloma and smoldering myeloma. We analyzed the prognostic impact of the plasma cell proliferative index in 513 patients with systemic immunoglobulin light chain (AL) amyloidosis undergoing stem cell transplantation at the Mayo Clinic between 1st January 2003 and 31st August 2016. Two cohorts were identified according to Low or Elevated plasma cell proliferative index. Patients with an Elevated plasma cell proliferative index had more cardiac involvement (56% vs. 44%; P=0.01), less renal involvement (55% vs. 70%; P=0.001), and were more likely to have 10% or over bone marrow plasma cells (58% vs. 32%; P<0.0001) compared to those with a Low plasma cell proliferative index. Both progression-free survival and overall survival were lower in patients with an Elevated compared to Low plasma cell proliferative index: median progression-free survival 44 vs. 95 months (P<0.0001) and median overall survival 102 vs. 143 months (P=0.0003). All-cause mortality at 100 days was higher in patients with an Elevated plasma cell proliferative index (elevated 10.3% vs. low 4.3%; P=0.008). On multivariate analysis Elevated plasma cell proliferative index was an independent prognostic factor for overall survival (Hazard Ratio 1.5, 95%CI: 1.1-2.1; P=0.021). The plasma cell proliferative index is an important prognostic tool in patients with AL amyloidosis undergoing stem cell transplant.
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Affiliation(s)
- M Hasib Sidiqi
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Mohammed A Aljama
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Dragan Jevremovic
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - William G Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Michael Timm
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Francis K Buadi
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Rahma Warsame
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Martha Q Lacy
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Angela Dispenzieri
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - David Dingli
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Wilson I Gonsalves
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Shaji Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Prashant Kapoor
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Taxiarchis Kourelis
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Nelson Leung
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - William J Hogan
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Morie Gertz
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
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21
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Goyal T, Thakral B, Wang SA, Bueso-Ramos CE, Shi M, Jevremovic D, Morice WG, Zhang QY, George TI, Foucar KK, Bhattacharyya S, Bagg A, Rogers HJ, Bodo J, Durkin L, Hsi ED. T-Cell Large Granular Lymphocytic Leukemia and Coexisting B-Cell Lymphomas: A Study From the Bone Marrow Pathology Group. Am J Clin Pathol 2018; 149:164-171. [PMID: 29365010 DOI: 10.1093/ajcp/aqx146] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE T-cell large granular lymphocytic (T-LGL) leukemia is associated with B-cell lymphomas (BCLs), especially small BCLs. We aimed to explore and expand upon its association with BCLs. METHODS We retrospectively studied clinicopathologic features of T-LGL leukemia patients with coexisting BCL from January 2001 to December 2016. RESULTS Among 432 patients with T-LGL leukemia, 22 (5.1%) had an associated B-cell non-Hodgkin lymphoma. Thirteen (59%) patients had large and nine (41%) had small BCL. T-LGL leukemia occurred synchronously with BCL in five, preceded BCL in three, and followed BCL in 14 patients. Anemia was the most common cytopenia (68%). Only one patient had a history of rheumatoid arthritis. CONCLUSION To our knowledge, this is the first multicenter study looking at the spectrum and incidence of BCLs in patients with T-LGL leukemia and highlights its association with large BCLs (3% of T-LGL leukemias).
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Affiliation(s)
| | | | - Sa A Wang
- MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | | | | | - Adam Bagg
- Hospital of the University of Pennsylvania, Philadelphia
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22
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Shi M, He R, Feldman AL, Viswanatha DS, Jevremovic D, Chen D, Morice WG. STAT3 mutation and its clinical and histopathologic correlation in T-cell large granular lymphocytic leukemia. Hum Pathol 2017; 73:74-81. [PMID: 29288042 DOI: 10.1016/j.humpath.2017.12.014] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 12/11/2017] [Accepted: 12/15/2017] [Indexed: 10/18/2022]
Abstract
Although T-cell large granular lymphocytic leukemia (T-LGLL) is a clinically indolent disorder, patients with moderate to severe cytopenia require therapeutic intervention. The recent discovery of STAT3 mutations has shed light on the genetic basis of T-LGLL pathogenesis. However, the association of STAT3 mutational status with patients' clinical, histopathologic, and other laboratory features has not been thoroughly evaluated in T-LGLL. In this study, STAT3 mutations were identified in 18 of 36 patients with T-LGLL (50%), including Y640F (12/18, 66.7%), N647I (3/18, 16.7%), E638Q (1/18, 5.6%), I659L (1/18, 5.6%), and K657R (1/18, 5.6%). Interestingly, pure red cell aplasia was seen exclusively in T-LGLL patients without STAT3 mutations (6/15 in the wild-type STAT3 group versus 0/13 in the mutant STAT3 group; P = .02); these patients also were the only responders to T-LGLL therapy (mainly cyclophosphamide) in wild-type STAT3 group. Patients harboring STAT3 mutations were more prone to rheumatoid arthritis (4/13 versus 0/15 in the wild-type STAT3 group; P = .04), frequently requiring therapy for neutropenia/neutropenia-associated infections, and demonstrated good therapeutic responses to methotrexate. No significant differences were seen in complete blood count, flow cytometric immunophenotypic features, T-cell receptor γ V-J rearrangement repertoire, and bone marrow biopsy morphology among the STAT3-mutation and wild-type groups other than significantly larger tumor burden in patients with STAT3 mutations. The distinct disease association and therapeutic responses observed in patients with mutant and wild-type STAT3 warrant further investigation to elucidate the underlying mechanisms. They also highlight the importance of identifying STAT3 mutational status in patients with T-LGLL, which may aid in clinical therapeutic choice.
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Affiliation(s)
- Min Shi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
| | - Rong He
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Andrew L Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - David S Viswanatha
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Dragan Jevremovic
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Dong Chen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - William G Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
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23
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Kapoor P, Ansell SM, Fonseca R, Chanan-Khan A, Kyle RA, Kumar SK, Mikhael JR, Witzig TE, Mauermann M, Dispenzieri A, Ailawadhi S, Stewart AK, Lacy MQ, Thompson CA, Buadi FK, Dingli D, Morice WG, Go RS, Jevremovic D, Sher T, King RL, Braggio E, Novak A, Roy V, Ketterling RP, Greipp PT, Grogan M, Micallef IN, Bergsagel PL, Colgan JP, Leung N, Gonsalves WI, Lin Y, Inwards DJ, Hayman SR, Nowakowski GS, Johnston PB, Russell SJ, Markovic SN, Zeldenrust SR, Hwa YL, Lust JA, Porrata LF, Habermann TM, Rajkumar SV, Gertz MA, Reeder CB. Diagnosis and Management of Waldenström Macroglobulinemia: Mayo Stratification of Macroglobulinemia and Risk-Adapted Therapy (mSMART) Guidelines 2016. JAMA Oncol 2017; 3:1257-1265. [PMID: 28056114 DOI: 10.1001/jamaoncol.2016.5763] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Importance Waldenström macroglobulinemia (WM), an IgM-associated lymphoplasmacytic lymphoma, has witnessed several practice-altering advances in recent years. With availability of a wider array of therapies, the management strategies have become increasingly complex. Our multidisciplinary team appraised studies published or presented up to December 2015 to provide consensus recommendations for a risk-adapted approach to WM, using a grading system. Observations Waldenström macroglobulinemia remains a rare, incurable cancer, with a heterogeneous disease course. The major classes of effective agents in WM include monoclonal antibodies, alkylating agents, purine analogs, proteasome inhibitors, immunomodulatory drugs, and mammalian target of rapamycin inhibitors. However, the highest-quality evidence from rigorously conducted randomized clinical trials remains scant. Conclusions and Relevance Recognizing the paucity of data, we advocate participation in clinical trials, if available, at every stage of WM. Specific indications exist for initiation of therapy. Outside clinical trials, based on the synthesis of available evidence, we recommend bendamustine-rituximab as primary therapy for bulky disease, profound hematologic compromise, or constitutional symptoms attributable to WM. Dexamethasone-rituximab-cyclophosphamide is an alternative, particularly for nonbulky WM. Routine rituximab maintenance should be avoided. Plasma exchange should be promptly initiated before cytoreduction for hyperviscosity-related symptoms. Stem cell harvest for future use may be considered in first remission for patients 70 years or younger who are potential candidates for autologous stem cell transplantation. At relapse, retreatment with the original therapy is reasonable in patients with prior durable responses (time to next therapy ≥3 years) and good tolerability to previous regimen. Ibrutinib is efficacious in patients with relapsed or refractory disease harboring MYD88 L265P mutation. In the absence of neuropathy, a bortezomib-rituximab-based option is reasonable for relapsed or refractory disease. In select patients with chemosensitive disease, autologous stem cell transplantation should be considered at first or second relapse. Everolimus and purine analogs are suitable options for refractory or multiply relapsed WM. Our recommendations are periodically updated as new, clinically relevant information emerges.
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Affiliation(s)
| | | | - Rafael Fonseca
- Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | | | - Robert A Kyle
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Shaji K Kumar
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Joseph R Mikhael
- Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | | | | | | | | | - A Keith Stewart
- Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Martha Q Lacy
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | | | | | - David Dingli
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | | | - Ronald S Go
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | | | - Taimur Sher
- Division of Hematology/Oncology, Mayo Clinic, Jacksonville, Florida
| | - Rebecca L King
- Division of Hematopathology, Mayo Clinic, Rochester, Minnesota
| | - Esteban Braggio
- Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | - Ann Novak
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Vivek Roy
- Division of Hematology/Oncology, Mayo Clinic, Jacksonville, Florida
| | | | | | - Martha Grogan
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota
| | | | - P Leif Bergsagel
- Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
| | | | - Nelson Leung
- Division of Hematology, Mayo Clinic, Rochester, Minnesota.,Division of Nephrology, Mayo Clinic, Rochester, Minnesota
| | | | - Yi Lin
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | | | | | | | | | | | | | | | - Yi L Hwa
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - John A Lust
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Luis F Porrata
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | | | | | - Morie A Gertz
- Division of Hematology, Mayo Clinic, Rochester, Minnesota
| | - Craig B Reeder
- Division of Hematology/Oncology, Mayo Clinic, Scottsdale, Arizona
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24
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Ghosh T, Gonsalves WI, Jevremovic D, Dispenzieri A, Dingli D, Timm MM, Morice WG, Kapoor P, Kourelis TV, Lacy MQ, Hayman SR, Buadi FK, Leung N, Go RS, Lin Y, Russell SJ, Lust JA, Zeldenrust SR, Warsame R, Hwa YL, Kyle RA, Gertz MA, Vincent Rajkumar S, Kumar SK. The prognostic significance of polyclonal bone marrow plasma cells in patients with relapsing multiple myeloma. Am J Hematol 2017; 92:E507-E512. [PMID: 28568244 DOI: 10.1002/ajh.24807] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 05/24/2017] [Accepted: 05/26/2017] [Indexed: 11/06/2022]
Abstract
Prior studies have revealed that the presence of increasing number of polyclonal plasma cells (pPCs) in the bone marrow (BM) are associated with better outcomes in newly diagnosed multiple myeloma (MM) patients. This effect has not been studied in patients with MM at the time of disease relapse. We determined the prognostic value of depletion of pPCs in the BM by 7-color multiparameter flow cytometry in a series of 174 relapsing MM patients. The time to next therapy (TTNT) in those with <5% pPCs was 9.4 months versus 13.9 months in those with ≥5% pPCs (P = .0091). The median overall survival (OS) in those with <5% pPCs was 21.4 months, while the median OS was not reached in those patients with ≥5% pPCs (P = .019). Of the 109 patients with standard risk cytogenetics, the median OS of those with <5% pPCs was 28.4 months, while the median OS was not reached in those with ≥5% pPCs (P = .033). As such, <5% pPCs in the BM appears to have prognostic utility in identifying a subset of relapsing MM patients, even with standard-risk cytogenetics, who have a particularly adverse outcome.
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Affiliation(s)
- Toshi Ghosh
- Department of Laboratory Medicine and Pathology; Mayo Clinic; Rochester Minnesota
| | | | - Dragan Jevremovic
- Department of Laboratory Medicine and Pathology; Mayo Clinic; Rochester Minnesota
| | | | - David Dingli
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | - Michael M. Timm
- Department of Laboratory Medicine and Pathology; Mayo Clinic; Rochester Minnesota
| | - William G. Morice
- Department of Laboratory Medicine and Pathology; Mayo Clinic; Rochester Minnesota
| | | | | | - Martha Q. Lacy
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | | | | | - Nelson Leung
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | - Ronald S. Go
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | - Yi Lin
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | | | - John A. Lust
- Department of Laboratory Medicine and Pathology; Mayo Clinic; Rochester Minnesota
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | | | - Rahma Warsame
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | - Yi L. Hwa
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | - Robert A. Kyle
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | - Morie A. Gertz
- Division of Hematology; Mayo Clinic; Rochester Minnesota
| | | | - Shaji K. Kumar
- Division of Hematology; Mayo Clinic; Rochester Minnesota
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25
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Gonsalves WI, Rajkumar SV, Dispenzieri A, Dingli D, Timm MM, Morice WG, Lacy MQ, Buadi FK, Go RS, Leung N, Kapoor P, Hayman SR, Lust JA, Russell SJ, Zeldenrust SR, Hwa L, Kourelis TV, Kyle RA, Gertz MA, Kumar SK. Quantification of circulating clonal plasma cells via multiparametric flow cytometry identifies patients with smoldering multiple myeloma at high risk of progression. Leukemia 2016; 31:130-135. [PMID: 27457702 DOI: 10.1038/leu.2016.205] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 05/24/2016] [Accepted: 06/06/2016] [Indexed: 12/11/2022]
Abstract
The presence of high numbers of circulating clonal plasma cells (cPCs) in patients with smoldering multiple myeloma (SMM), detected by a slide-based immunofluorescence assay, has been associated with a shorter time to progression (TTP) to MM. The significance of quantifying cPCs via multiparameter flow cytometry, a much more readily available diagnostic modality, in patients with SMM has not been evaluated. This study evaluated 100 patients with a known or new diagnosis of SMM who were seen at the Mayo Clinic, Rochester from January 2008 until December 2013. Patients with ⩾150 cPCs (N=9) were considered to have high number of cPCs based on the 97% specificity and 78% PPV of progression to MM within 2 years of cPC assessment. The median TTP of patients with ⩾150 cPCs was 9 months compared with not reached for patients with <150 cPCs (P<0.001). Thus, quantification of cPCs via multiparametric flow cytometry identifies patients with SMM at very high risk of progression to MM within 2 years and warrants confirmation in larger studies. In the future, this may allow reclassification of such patients as having MM requiring therapy prior to them enduring end-organ damage.
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Affiliation(s)
- W I Gonsalves
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - S V Rajkumar
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - A Dispenzieri
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - D Dingli
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - M M Timm
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - W G Morice
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - M Q Lacy
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - F K Buadi
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - R S Go
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - N Leung
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - P Kapoor
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - S R Hayman
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - J A Lust
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - S J Russell
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - S R Zeldenrust
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - L Hwa
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - T V Kourelis
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - R A Kyle
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - M A Gertz
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - S K Kumar
- The Divisions of Hematology and Blood and Marrow Transplantation, Department of Medicine, Mayo Clinic, Rochester, MN, USA
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26
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King RL, Gonsalves WI, Ansell SM, Greipp PT, Frederick LA, Viswanatha DS, He R, Kyle RA, Gertz MA, Kapoor P, Morice WG, Howard MT. Lymphoplasmacytic Lymphoma With a Non-IgM Paraprotein Shows Clinical and Pathologic Heterogeneity and May Harbor MYD88 L265P Mutations. Am J Clin Pathol 2016; 145:843-51. [PMID: 27329639 DOI: 10.1093/ajcp/aqw072] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES Lymphoplasmacytic lymphoma (LPL) with non-immunoglobulin M (IgM) paraproteinemia remains poorly understood. The goal of this study was to investigate the clinicopathologic features of LPL in the bone marrow in patients with immunoglobulin G (IgG) or immunoglobulin A (IgA) paraproteins and evaluate MYD88 L265P mutation status to determine the relationship of these cases to Waldenström macroglobulinemia (WM). METHODS Bone marrows from LPL cases with IgG or IgA paraproteins diagnosed between January 1, 2007, and June 30, 2014, were retrieved from the clinical archive. Clinicopathologic features were retrospectively reviewed. MYD88 L265P mutation status was assessed by allele-specific polymerase chain reaction prospectively on all cases. RESULTS Of 27 cases, four were reclassified as multiple myeloma, all MYD88 mutation negative. MYD88 L265P mutations were present in 10 (43%) of 23 remaining cases. No association between MYD88 status and bone marrow morphologic or phenotypic features, including the presence of Dutcher bodies, mast cells, expression of CD19 by plasma cells, or hemosiderin, was identified, although these features were present in a subset of cases, similar to WM. Clinical features of WM such as hyperviscosity were uncommon in this group and did not correlate with MYD88 status. CONCLUSIONS Non-IgM LPLs are a clinically and pathologically heterogeneous group and often harbor MYD88 L265P mutation, albeit at a lower rate than classic WM. MYD88 status does not correlate with any specific pathologic or clinical manifestations.
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Affiliation(s)
| | | | | | | | | | | | - Rong He
- From the Division of Hematopathology
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27
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Gonsalves WI, Timm MM, Rajkumar SV, Morice WG, Dispenzieri A, Buadi FK, Lacy MQ, Dingli D, Leung N, Kapoor P, Kyle RA, Gertz MA, Kumar SK. The prognostic significance of CD45 expression by clonal bone marrow plasma cells in patients with newly diagnosed multiple myeloma. Leuk Res 2016; 44:32-9. [PMID: 26994849 DOI: 10.1016/j.leukres.2016.03.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 03/02/2016] [Accepted: 03/08/2016] [Indexed: 11/25/2022]
Abstract
Evaluation of clonal plasma cells (PCs) in the bone marrow (BM) of multiple myeloma (MM) patients reveals two distinct clonal PC populations based on the presence or absence of CD45 expression. We explored the prognostic significance of CD45 expression by clonal PCs in the BM of MM patients in the era of novel agent therapy. All 156 MM patients seen at the Mayo Clinic, Rochester from 2009 to 2011 who had their BM evaluated by multiparametric flow cytometry were included. Patients whose BM had ≥20% of the clonal PCs expressing CD45 were classified as CD45 positive (+) and the rest as CD45 negative (-). Of these patients, the median overall survival (OS) for patients in the CD45 (+) group (n=43, 28%) was 38 months versus not reached for the CD45 (-) group (n=113, 72%) (P=0.009). In a multivariable analysis, CD45 (+) status was an independent predictor of inferior OS among newly diagnosed patients with MM. CD45 expression may be a surrogate for a more aggressive phenotype of MM and warrants further investigation.
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Affiliation(s)
- Wilson I Gonsalves
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Michael M Timm
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - S Vincent Rajkumar
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - William G Morice
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Angela Dispenzieri
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Francis K Buadi
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Martha Q Lacy
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - David Dingli
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Nelson Leung
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Prashant Kapoor
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Robert A Kyle
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Morie A Gertz
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Shaji K Kumar
- Division of Hematology, and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.
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28
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Shi M, Neff JL, Jevremovic D, Morice WG. Decreased normal NK-cells is a characteristic of T-cell large granular lymphocytic leukemia and is strongly associated with cytopenia. Leuk Lymphoma 2015; 57:1230-3. [PMID: 26689813 DOI: 10.3109/10428194.2015.1081191] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Min Shi
- a Department of Laboratory Medicine and Pathology, Division of Hematopathology , Mayo Clinic , Rochester , MN , USA
| | - Jadee L Neff
- a Department of Laboratory Medicine and Pathology, Division of Hematopathology , Mayo Clinic , Rochester , MN , USA
| | - Dragan Jevremovic
- a Department of Laboratory Medicine and Pathology, Division of Hematopathology , Mayo Clinic , Rochester , MN , USA
| | - William G Morice
- a Department of Laboratory Medicine and Pathology, Division of Hematopathology , Mayo Clinic , Rochester , MN , USA
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29
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Reichard KK, Chen D, Pardanani A, McClure RF, Howard MT, Kurtin PJ, Wood AJ, Ketterling RP, King RL, He R, Morice WG, Hanson CA. Morphologically occult systemic mastocytosis in bone marrow: clinicopathologic features and an algorithmic approach to diagnosis. Am J Clin Pathol 2015; 144:493-502. [PMID: 26276780 DOI: 10.1309/ajcpsgq71gjqqacl] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES Bone marrow (BM) biopsy specimens involved by systemic mastocytosis (SM) typically show multifocal, compact, dense aggregates of spindled mast cells (MCs). However, some cases lack aggregate formation and fulfill the World Health Organization 2008 criteria for SM, based on minor criteria. METHODS We identified 26 BM cases of KIT D816V-mutated, morphologically occult SM in the BM. RESULTS All patients had some combination of allergic/MC activating symptoms. Peripheral blood counts were generally normal. BM aspirates showed 5% or less MCs, which were only occasionally spindled. BM biopsy specimens showed no morphologic classic MC lesions. Tryptase immunohistochemistry (IHC) demonstrated interstitial, individually distributed MCs (up to 5%) with prominent spindling, lacking aggregate formation. MCs coexpressed CD25 by IHC and/or flow cytometry. Spindled MCs constituted more than 25% of total MCs in all cases and more than 50% in 20 of 26 cases. CONCLUSIONS Morphologically occult involvement of normal-appearing BM by SM will be missed without appropriate clinical suspicion and pathologic evaluation by tryptase and CD25 IHC and KIT D816V mutation analysis. On the basis of these findings, we propose a cost-effective, data-driven, evidence-based algorithmic approach to the workup of these cases.
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Affiliation(s)
| | | | | | - Rebecca F. McClure
- Division of Hematopathology, Health Sciences North, Sudbury, Ontario, Canada
| | | | | | | | | | | | - Rong He
- Divisions of Hematopathology,
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30
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Shi M, Savage NM, Salman H, Morice WG. A case of lymphoproliferative disorder of NK-cells: aggressive immunophenotype but indolent behavior. Clin Case Rep 2015; 3:740-3. [PMID: 26401278 PMCID: PMC4574789 DOI: 10.1002/ccr3.333] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Revised: 05/31/2015] [Accepted: 06/24/2015] [Indexed: 01/22/2023] Open
Abstract
Distinguishing chronic lymphoproliferative disorder of NK-cells from aggressive NK-cell leukemia is critical because they have distinct clinical course and management. Immunophenotyping plays a key role in distinguishing these two entities, however, it could not be used as sole criteria and clinical/laboratory findings are equally important.
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Affiliation(s)
- Min Shi
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic200 First Street SW, Rochester, Minnesota, 55905
| | - Natasha M Savage
- Department of Pathology, Georgia Regents University1120 15th Street, Augusta, Georgia, 30912
| | - Huda Salman
- Division of Hematology/Oncology, Department of Medicine, Georgia Regents University1120 15th Street, Augusta, Georgia, 30912
| | - William G Morice
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic200 First Street SW, Rochester, Minnesota, 55905
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31
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Bhutani G, Nasr SH, Said SM, Sethi S, Fervenza FC, Morice WG, Kurtin PJ, Buadi FK, Dingli D, Dispenzieri A, Gertz MA, Lacy MQ, Kapoor P, Kumar S, Kyle RA, Rajkumar SV, Leung N. Hematologic characteristics of proliferative glomerulonephritides with nonorganized monoclonal immunoglobulin deposits. Mayo Clin Proc 2015; 90:587-96. [PMID: 25939936 DOI: 10.1016/j.mayocp.2015.01.024] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Revised: 01/13/2015] [Accepted: 01/29/2015] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To study the hematologic characteristics of proliferative glomerulonephritides (GNs) from nonorganized glomerular monoclonal immunoglobulin (MIg) deposition (MIPG). PATIENTS AND METHODS The pathology database at Mayo Clinic (Rochester, Minnesota) was used to find patients with MIPG who underwent a kidney biopsy between January 1, 2008, and December 31, 2013. Retrospective medical record review was conducted in the identified cohort (N=60). RESULTS The median patient age was 56 years (interquartile range, 47-62 years) and the estimated glomerular filtration rate was 36 mL/min/1.73 m(2) (interquartile range, 22-52 mL/min/1.73 m(2)). Most patients had IgG MIg deposits (90%; 54 of 60) and a membranoproliferative pattern (48%; 29 of 60). A circulating nephropathic MIg was detected by serum immunofixation (SIFE(+)) in 20% (12 of 59) and by abnormal serum free light chain ratio (sFLCR(+)) in 21% (12 of 56). The subsets of SIFE(+) and sFLCR(+) incompletely overlapped. The nephropathic clone was found by bone marrow testing (BM(+)) in 25% (10 of 40; 6 plasma cell clones [5 IgG; 1 IgA], 3 chronic lymphocytic leukemia [all IgG], and 1 lymphoplasmacytic clone [IgM]). The clone detection rate was significantly higher in patients with SIFE(+) (P<.001) and in those with SIFE(+) and/or sFLCR(+) (P<.001). Patients with SIFE(+) and BM(+) frequently had IgG1-restricted MIg deposits on renal biopsy immunofluorescence (P=.005). Most BM(+) patients required flow cytometry and immunohistochemical analysis of the marrow specimen for accurate diagnosis. CONCLUSION Undetectable circulating nephropathic MIg and pathologic clones characterize most MIPG. Immunoglobulin isotype may predict detectability of MIg and clone by currently available technology. Bone marrow evaluation, including flow cytometry and immunohistochemical analysis, should be performed for SIFE(+) and/or sFLCR(+). More sensitive clone-identifying techniques in the marrow and extramedullary tissue are needed when SIFE and sFLCR test negative.
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Affiliation(s)
- Gauri Bhutani
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN
| | - Samih H Nasr
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Samar M Said
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Sanjeev Sethi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - William G Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Paul J Kurtin
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - David Dingli
- Division of Hematology, Mayo Clinic, Rochester, MN
| | | | | | | | | | - Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN
| | | | | | - Nelson Leung
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN; Division of Hematology, Mayo Clinic, Rochester, MN.
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32
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Rosado FG, Morice WG, He R, Howard MT, Timm M, McPhail ED. Immunophenotypic features by multiparameter flow cytometry can help distinguish low grade B-cell lymphomas with plasmacytic differentiation from plasma cell proliferative disorders with an unrelated clonal B-cell process. Br J Haematol 2015; 169:368-76. [PMID: 25644063 DOI: 10.1111/bjh.13303] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2014] [Accepted: 11/27/2014] [Indexed: 11/30/2022]
Abstract
Highly sensitive flow cytometry studies may incidentally identify B cell clones when used to assess plasma cell clonality in bone marrows. Clinical history, which can help differentiate related clones (low grade B cell lymphoma with plasmacytic differentiation/LBCL-PD) from unrelated ones (plasma cell proliferative disorder (PCPD) with an unrelated B cell clone), is often unavailable in referred specimens. We sought to identify morphologic or phenotypic features that would help predict the significance of these clones in the absence of history. We included only cases with identical light chain B and plasma cell clones, as determined by 6-color flow cytometry with additional DNA ploidy analysis, in which the relationship between clones could be established by review of medical records. There were 26 cases; 18 were related (14 were Waldenstrom macroglobulinemia) and eight were unrelated (seven multiple myeloma). Features seen exclusively in LBCL-PD include CD19+/CD45+ clonal plasma cell phenotype (66·7%, P = 0·0022) and morphologic features such as paratrabecular bone marrow involvement, increased mast cells, and plasma cells surrounding B-cell nodules. Aneuploidy was identified exclusively in PCPD cases (75%, P = 0·000028). We conclude that CD19+/CD45+ clonal plasma cell phenotype and aneuploidy are useful in distinguishing related clones (LBCL-PD) from unrelated clones (PCPD).
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Affiliation(s)
- Flavia G Rosado
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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Gonsalves WI, Gertz MA, Gupta V, Rajkumar SV, Morice WG, Timm MM, Singh PP, Dispenzieri A, Buadi FK, Lacy MQ, Kapoor P, Kumar SK. Prognostic Significance of Quantifying Circulating Plasma Cells in Multiple Myeloma. Clinical Lymphoma Myeloma and Leukemia 2014. [DOI: 10.1016/j.clml.2014.06.087] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Jevremovic D, Timm MM, Reichard KK, Morice WG, Hanson CA, Viswanatha DS, Howard MT, Nguyen PL. Loss of blast heterogeneity in myelodysplastic syndrome and other chronic myeloid neoplasms. Am J Clin Pathol 2014; 142:292-8. [PMID: 25125617 DOI: 10.1309/ajcp73qsllydegxk] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
OBJECTIVES Flow cytometry immunophenotyping has been suggested as an adjunctive technique in the evaluation of myeloid malignancies, especially in the myelodysplastic syndromes. However, its use has been limited due to complexity and cost restraints. The goal of this study is to attempt a simpler approach to flow cytometry immunophenotyping in myeloid neoplasms. METHODS We analyzed bone marrow specimens of 45 selected patients and an additional 99 consecutive random patients using a limited antibody panel. RESULTS Normal CD34-positive blasts show a characteristic pattern of CD13/HLA-DR expression, with three readily identifiable subpopulations. In contrast, myeloid neoplasms frequently show loss of this heterogeneity. CONCLUSIONS Analysis of a limited antibody panel with a focus on CD13/HLA-DR expression provides relatively high specificity and sensitivity for the detection of myeloid neoplasms.
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Affiliation(s)
- Dragan Jevremovic
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN
| | - Michael M. Timm
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN
| | - Kaaren K. Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN
| | - William G. Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN
| | - Curtis A. Hanson
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN
| | - David S. Viswanatha
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN
| | - Matthew T. Howard
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN
| | - Phuong L. Nguyen
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN
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Gonsalves WI, Morice WG, Rajkumar V, Gupta V, Timm MM, Dispenzieri A, Buadi FK, Lacy MQ, Singh PP, Kapoor P, Gertz MA, Kumar SK. Quantification of clonal circulating plasma cells in relapsed multiple myeloma. Br J Haematol 2014; 167:500-5. [PMID: 25113422 DOI: 10.1111/bjh.13067] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2014] [Accepted: 07/02/2014] [Indexed: 12/22/2022]
Abstract
The presence of clonal circulating plasma cells (cPCs) remains a marker of high-risk disease in newly diagnosed multiple myeloma (MM) patients. However, its prognostic utility in MM patients with previously treated disease is unknown. We studied 647 consecutive patients with previously treated MM seen at the Mayo Clinic, Rochester who had their peripheral blood evaluated for cPCs by multi-parameter flow cytometry. Of these patients, 145 had actively relapsing disease while the remaining 502 had disease that was in a plateau and included 68 patients in complete remission (CR) and 434 patients with stable disease. Patients with actively relapsing disease were more likely to have clonal cPCs than those in a plateau (P < 0·001). None of the patients in CR had any clonal cPCs detected. Among patients whose disease was in a plateau, the presence of clonal cPCs predicted for a worse median survival (22 months vs. not reached; P = 0·004). Among actively relapsing patients, the presence of ≥100 cPCs predicted for a worse survival after flow cytometry analysis (12 months vs. 33 months; P < 0·001). Future studies are needed to determine the role of these findings in developing a risk-adapted treatment approach in MM patients with actively relapsing disease.
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Russell SJ, Federspiel MJ, Peng KW, Tong C, Dingli D, Morice WG, Lowe V, O'Connor MK, Kyle RA, Leung N, Buadi FK, Rajkumar SV, Gertz MA, Lacy MQ, Dispenzieri A. Remission of disseminated cancer after systemic oncolytic virotherapy. Mayo Clin Proc 2014; 89:926-33. [PMID: 24835528 PMCID: PMC4225126 DOI: 10.1016/j.mayocp.2014.04.003] [Citation(s) in RCA: 188] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Revised: 03/31/2014] [Accepted: 04/04/2014] [Indexed: 01/02/2023]
Abstract
MV-NIS is an engineered measles virus that is selectively destructive to myeloma plasma cells and can be monitored by noninvasive radioiodine imaging of NIS gene expression. Two measles-seronegative patients with relapsing drug-refractory myeloma and multiple glucose-avid plasmacytomas were treated by intravenous infusion of 10(11) TCID50 (50% tissue culture infectious dose) infectious units of MV-NIS. Both patients responded to therapy with M protein reduction and resolution of bone marrow plasmacytosis. Further, one patient experienced durable complete remission at all disease sites. Tumor targeting was clearly documented by NIS-mediated radioiodine uptake in virus-infected plasmacytomas. Toxicities resolved within the first week after therapy. Oncolytic viruses offer a promising new modality for the targeted infection and destruction of disseminated cancer.
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Affiliation(s)
- Stephen J Russell
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN; Division of Hematology, Mayo Clinic, Rochester, MN
| | | | - Kah-Whye Peng
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN
| | - Caili Tong
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN
| | - David Dingli
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN; Division of Hematology, Mayo Clinic, Rochester, MN
| | - William G Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Val Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN
| | | | | | - Nelson Leung
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN
| | | | | | | | | | - Angela Dispenzieri
- Department of Molecular Medicine, Mayo Clinic, Rochester, MN; Division of Hematology, Mayo Clinic, Rochester, MN; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
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Gonsalves WI, Rajkumar SV, Gupta V, Morice WG, Timm MM, Singh PP, Dispenzieri A, Buadi FK, Lacy MQ, Kapoor P, Gertz MA, Kumar SK. Quantification of clonal circulating plasma cells in newly diagnosed multiple myeloma: implications for redefining high-risk myeloma. Leukemia 2014; 28:2060-5. [PMID: 24618735 DOI: 10.1038/leu.2014.98] [Citation(s) in RCA: 91] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2014] [Accepted: 02/21/2014] [Indexed: 12/22/2022]
Abstract
The presence of clonal circulating plasma cells (cPCs) is a marker of high-risk disease in all stages of monoclonal gammopathies. However, the prognostic utility of quantitating cPCs using multiparametric flow cytometry in multiple myeloma (MM) patients with current treatments is unknown. There were 157 consecutive patients with newly diagnosed MM seen at the Mayo Clinic, Rochester from 2009 to 2011 that had their peripheral blood evaluated for cPCs by multiparameter flow cytometry. Survival analysis was performed by the Kaplan-Meier method and differences assessed using the log-rank test. Using a receiver operating characteristics (ROC) analysis, ⩾400 cPCs were considered as the optimal cutoff for defining high-risk disease. The presence of ⩾400 cPCs was associated with higher plasma cell (PC) proliferation and adverse cytogenetics. The median time-to-next-treatment and overall survival (OS) in patients with ⩾400 cPCs (N=37, 24%) was 14 months and 32 months compared with 26 months and not reached for the rest (P<0.001). In a multivariable model, the presence of ⩾400 cPCs and older age adversely affected OS. Flow cytometry to quantify cPCs is a valuable test for risk stratifying newly diagnosed MM patients in the era of novel agents. Future studies are needed to determine its role in developing a risk-adapted treatment approach.
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Affiliation(s)
- W I Gonsalves
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - S V Rajkumar
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - V Gupta
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - W G Morice
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - M M Timm
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - P P Singh
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - A Dispenzieri
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - F K Buadi
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - M Q Lacy
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - P Kapoor
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - M A Gertz
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - S K Kumar
- 1] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA [2] Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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Neff JL, Howard MT, Morice WG. Distinguishing T-cell Large Granular Lymphocytic Leukemia from Reactive Conditions: Laboratory Tools and Challenges in Their Use. Surg Pathol Clin 2013; 6:631-639. [PMID: 26839190 DOI: 10.1016/j.path.2013.08.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
This article focuses on the challenges of diagnosing T-cell large granular leukemia and distinguishing it from benign reactive conditions, as well as more aggressive neoplasms of cytotoxic lymphocytes. No single laboratory method is sufficient to make the diagnosis, but instead a combination of flow cytometry, genetic studies, and bone marrow immunohistochemistry must be used.
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Affiliation(s)
- Jadee L Neff
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Matthew T Howard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - William G Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
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Abstract
OBJECTIVES To delineate the pathology of immunoglobulin M-producing multiple myeloma (IgM MM). METHODS Clinicopathologic data were reviewed for 15 cases meeting World Health Organization criteria for MM and having a serum IgM paraprotein. Immunohistochemistry was performed on diagnostic bone marrow specimens for common B-cell and plasma cell markers. RESULTS Of the 15 IgM MM bone marrows reviewed, 6 (40%) had lymphoplasmacytoid cytology, and 12 (80%) expressed CD19, CD20, and/or CD45. Cyclin D1 expression was common (11 cases, 73%) and usually associated with t(11;14). No cases expressed CD5 or had an associated CD5-positive B-cell population. CD117 was positive in 20% of cases. CONCLUSIONS The frequent B-cell-associated antigen expression by IgM MM distinguishes it from other MM types, causing significant pathologic overlap with lymphoplasmacytic lymphoma (LPL). However, IgM MM is usually distinguished from LPL by aberrant cyclin D1 expression or t(11;14). Therefore, assessing for these abnormalities is recommended when evaluating bone marrow involvement by IgM-associated lymphoplasmacytoid disorders.
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Affiliation(s)
- Rebecca L. King
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
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Owen RG, Kyle RA, Stone MJ, Rawstron AC, Leblond V, Merlini G, Garcia-Sanz R, Ocio EM, Morra E, Morel P, Anderson KC, Patterson CJ, Munshi NC, Tedeschi A, Joshua DE, Kastritis E, Terpos E, Ghobrial IM, Leleu X, Gertz MA, Ansell SM, Morice WG, Kimby E, Treon SP. Response assessment in Waldenström macroglobulinaemia: update from the VIth International Workshop. Br J Haematol 2012; 160:171-6. [PMID: 23150997 DOI: 10.1111/bjh.12102] [Citation(s) in RCA: 196] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2012] [Accepted: 09/20/2012] [Indexed: 11/27/2022]
Abstract
This report represents a further update of the consensus panel criteria for the assessment of clinical response in patients with Waldenström macroglobulinaemia (WM). These criteria have been updated in light of further data demonstrating an improvement in categorical responses with new drug regimens as well as acknowledgement of the fact that such responses are predictive of overall outcome. A number of key changes are proposed but challenges do however remain and these include the variability in kinetics of immunoglobulin M (IgM) reduction with different treatment modalities and the apparent discrepancy between IgM and bone marrow/tissue response noted with some regimens. Planned sequential bone marrow assessments are encouraged in clinical trials.
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Bianchi G, Kyle RA, Larson DR, Witzig TE, Kumar S, Dispenzieri A, Morice WG, Rajkumar SV. High levels of peripheral blood circulating plasma cells as a specific risk factor for progression of smoldering multiple myeloma. Leukemia 2012; 27:680-5. [PMID: 22902364 PMCID: PMC3597230 DOI: 10.1038/leu.2012.237] [Citation(s) in RCA: 117] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Smoldering multiple myeloma (SMM) carries a 50% risk of progression to multiple myeloma (MM) or related malignancy within the first 5 years following diagnosis. The goal of this study was to determine if high levels of circulating plasma cells (PCs) are predictive of SMM transformation within the first 2–3 years from diagnosis. Ninety-one patients diagnosed with SMM at Mayo Clinic from January 1994 through January 2007 who had testing for circulating PCs using an immunofluorescent assay and adequate follow up to ascertain disease progression, were studied. High level of circulating PCs was defined as absolute peripheral blood PCs >5000 ×106/L and/or > 5% cytoplasmic immunoglobulin (Ig) positive PCs per 100 peripheral blood mononuclear cells. Patients with high circulating PCs (14 of 91 patients, 15%) were significantly more likely to progress to active disease within 2 years compared with patients without high circulating PCs, 71% versus 25%, respectively, P=0.001. Corresponding rates for progression within 3 years were 86% versus 35%, respectively, P<0.001. Overall survival (OS) after both SMM diagnosis and MM diagnosis was also significantly different. High levels of circulating PCs identify SMM patients with an elevated risk of progression within the first 2 to 3 years following diagnosis.
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Affiliation(s)
- G Bianchi
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
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Morice WG, Neff J, Kwan J. Gaining insights into chronic natural killer cell leukemias through extensive characterization of an individual case. Mayo Clin Proc 2011; 86:1247-8. [PMID: 22134945 PMCID: PMC3228628 DOI: 10.4065/mcp.2011.0637] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Howard MT, Hodnefield J, Morice WG. Immunohistochemical Phenotyping of Plasma Cells in Lymphoplasmacytic Lymphoma/Waldenström's Macroglobulinemia is Comparable to Flow Cytometric Techniques. Clinical Lymphoma Myeloma and Leukemia 2011; 11:96-8. [DOI: 10.3816/clml.2011.n.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Dronca RS, Jevremovic D, Hanson CA, Rabe KG, Shanafelt TD, Morice WG, Call TG, Kay NE, Collins CS, Schwager SM, Slager SL, Zent CS. CD5-positive chronic B-cell lymphoproliferative disorders: diagnosis and prognosis of a heterogeneous disease entity. Cytometry B Clin Cytom 2010; 78 Suppl 1:S35-41. [PMID: 20568273 DOI: 10.1002/cyto.b.20546] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND The pathology and clinical course of patients with CD5+ chronic B-cell lymphoproliferative disorders, excluding those that present with typical chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL) or mantle cell lymphoma, (i.e. CD5+B-CLPD) are poorly defined. METHODS We studied patients with CD5+B-CLPD to (1) more completely define the clinical features and pathology of CD5+B-CLPD, (2) compare these features to patients presenting with typical CLL, and (3) test the hypothesis that a subset of patients with CD5+B-CLPD could have a unique B-cell malignancy. RESULTS We identified 229 patients with CD5+B-CLPD. A definitive pathological diagnosis was made in all 61 (27%) CD5+B-CLPD patients with nonbone marrow (BM) biopsy specimens considered adequate for a comprehensive pathological examination. The most common diagnosis among these 61 patients was CLL (44%) followed by the leukemic phase of marginal zone lymphoma (34%), lymphoplasmacytic lymphoma (11%), diffuse large B cell lymphoma (8%), and high-grade B cell lymphoma not otherwise specified (2%). In contrast, among 168 patients without a non-BM tissue biopsy specimen, a specific diagnosis could be made on review of all available data in only 24 (14%) with 144 (86%) remaining "unclassified." CONCLUSIONS In patients with CD5+B-CLPD, a definitive diagnosis can be made on an adequate non-BM tissue biopsy suggesting that this entity does not include a novel disease. We recommend that all patients with CD5+B-CLPD should have a non-BM tissue biopsy to make a definitive diagnosis prior to initiation of treatment.
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Affiliation(s)
- Roxana S Dronca
- Division of Hematology, Mayo Clinic, Rochester, Minnesota 55905, USA
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Jevremovic D, Dronca RS, Morice WG, McPhail ED, Kurtin PJ, Zent CS, Hanson CA. CD5+ B-cell lymphoproliferative disorders: Beyond chronic lymphocytic leukemia and mantle cell lymphoma. Leuk Res 2010; 34:1235-8. [DOI: 10.1016/j.leukres.2010.03.020] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2009] [Revised: 03/01/2010] [Accepted: 03/09/2010] [Indexed: 11/26/2022]
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Ansell SM, Kyle RA, Reeder CB, Fonseca R, Mikhael JR, Morice WG, Bergsagel PL, Buadi FK, Colgan JP, Dingli D, Dispenzieri A, Greipp PR, Habermann TM, Hayman SR, Inwards DJ, Johnston PB, Kumar SK, Lacy MQ, Lust JA, Markovic SN, Micallef INM, Nowakowski GS, Porrata LF, Roy V, Russell SJ, Short KED, Stewart AK, Thompson CA, Witzig TE, Zeldenrust SR, Dalton RJ, Rajkumar SV, Gertz MA. Diagnosis and management of Waldenström macroglobulinemia: Mayo stratification of macroglobulinemia and risk-adapted therapy (mSMART) guidelines. Mayo Clin Proc 2010; 85:824-33. [PMID: 20702770 PMCID: PMC2931618 DOI: 10.4065/mcp.2010.0304] [Citation(s) in RCA: 124] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Waldenström macroglobulinemia is a B-cell malignancy with lymphoplasmacytic infiltration in the bone marrow or lymphatic tissue and a monoclonal immunoglobulin M protein (IgM) in the serum. It is incurable with current therapy, and the decision to treat patients as well as the choice of treatment can be complex. Using a risk-adapted approach, we provide recommendations on timing and choice of therapy. Patients with smoldering or asymptomatic Waldenström macroglobulinemia and preserved hematologic function should be observed without therapy. Symptomatic patients with modest hematologic compromise, IgM-related neuropathy that requires therapy, or hemolytic anemia unresponsive to corticosteroids should receive standard doses of rituximab alone without maintenance therapy. Patients who have severe constitutional symptoms, profound hematologic compromise, symptomatic bulky disease, or hyperviscosity should be treated with the DRC (dexamethasone, rituximab, cyclophosphamide) regimen. Any patient with symptoms of hyperviscosity should first be treated with plasmapheresis. For patients who experience relapse after a response to initial therapy of more than 2 years' duration, the original therapy should be repeated. For patients who had an inadequate response to initial therapy or a response of less than 2 years' duration, an alternative agent or combination should be used. Autologous stem cell transplant should be considered in all eligible patients with relapsed disease.
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Affiliation(s)
- Stephen M Ansell
- Division of Hematology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
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Kipp BR, Ketterling RP, Oberg TN, Cousin MA, Plagge AM, Wiktor AE, Ihrke JM, Meyers CH, Morice WG, Halling KC, Clayton AC. Comparison of fluorescence in situ hybridization, p57 immunostaining, flow cytometry, and digital image analysis for diagnosing molar and nonmolar products of conception. Am J Clin Pathol 2010; 133:196-204. [PMID: 20093228 DOI: 10.1309/ajcpv7brducx0waq] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
Pathologic examination of products of conception (POC) is used to differentiate hydropic abortus (HA), partial hydatidiform mole (PM), and complete hydatidiform mole (CM). Histologic classification of POC specimens can be difficult, and ancillary testing is often required for a definitive diagnosis. This study evaluated 66 POC specimens by flow cytometry, digital image analysis, p57 immunohistochemical analysis, and fluorescence in situ hybridization (FISH). The final diagnosis, based on the combined analysis of all test results, included 33 HAs, 24 PMs, and 9 CMs. The p57 immunostain identified 9 CMs that were evaluated as nontriploid by all other techniques. FISH seems to have the best accuracy (100%) for determining whether a specimen contains a triploid chromosome complement. These data suggest that the combination of p57 and FISH seems to be the best ancillary testing strategy to aid pathologists in the appropriate identification of CM, PM, and HA in POC specimens.
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Shanafelt TD, Kay NE, Rabe KG, Call TG, Zent CS, Maddocks K, Jenkins G, Jelinek DF, Morice WG, Boysen J, Schwager S, Bowen D, Slager SL, Hanson CA. Brief report: natural history of individuals with clinically recognized monoclonal B-cell lymphocytosis compared with patients with Rai 0 chronic lymphocytic leukemia. J Clin Oncol 2009; 27:3959-63. [PMID: 19620484 DOI: 10.1200/jco.2008.21.2704] [Citation(s) in RCA: 110] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE The diagnosis of monoclonal B-cell lymphocytosis (MBL) is used to characterize patients with a circulating population of clonal B cells, a total B-cell count of less than 5 x 10(9)/L, and no other features of a B-cell lymphoproliferative disorder including lymphadenopathy/organomegaly. The natural history of clinically identified MBL is unclear. The goal of this study was to explore the outcome of patients with MBL relative to that of individuals with Rai stage 0 chronic lymphocytic leukemia (CLL). PATIENTS AND METHODS We used hematopathology records to identify a cohort of 631 patients with newly diagnosed MBL or Rai stage 0 CLL. Within this cohort, 302 patients had MBL (B-cell counts of 0.02 to 4.99 x 10(9)/L); 94 patients had Rai stage 0 CLL with an absolute lymphocyte count (ALC) < or = 10 x 10(9)/L; and 219 patients had Rai stage 0 CLL with an ALC more than 10 x 10(9)/L. Data on clinical outcome were abstracted from medical records. RESULTS The percentage of MBL patients free of treatment at 1, 2, and 5 years was 99%, 98%, and 93%, respectively. B-cell count as a continuous variable (hazard ratio [HR] = 2.9, P = .04) and CD38 status (HR = 10.8, P = .006) predicted time to treatment (TTT) among MBL patients. The likelihood of treatment for MBL patients was lower (HR = 0.32, P = .04) than that of both Rai stage 0 CLL patients with an ALC less than 10 x 10(9)/L (n = 94) and Rai stage 0 CLL patients with an ALC more than 10 x 10(9)/L (n = 219; P = .0003). CONCLUSION Individuals with MBL identified in clinical practice have a low risk for progression at 5 years. Because B-cell count seems to relate to TTT as a continuous variable, additional studies are needed to determine what B-cell count should be used to distinguish between MBL and CLL.
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Roden AC, Morice WG, Hanson CA. Immunophenotypic attributes of benign peripheral blood gammadelta T cells and conditions associated with their increase. Arch Pathol Lab Med 2008; 132:1774-80. [PMID: 18976014 DOI: 10.5858/132.11.1774] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/02/2008] [Indexed: 11/06/2022]
Abstract
CONTEXT In comparison to alphabeta T cells, little is known about the immunophenotype of healthy peripheral blood gammadelta T cells or about conditions associated with expansion of this usually minor T-cell subset. OBJECTIVE To study the immunophenotype of increased nonneoplastic peripheral blood gammadelta T cells and to determine clinical conditions associated with this laboratory finding. DESIGN Flow cytometric T-cell phenotyping studies performed on 352 consecutive peripheral blood specimens were reviewed, and 62 cases (18%) in which gammadelta T cells comprised either more than 5% of the total lymphocytes or had an absolute count of more than 200 cells per muL or both, were studied further. Clinical data were available from 36 cases. RESULTS The gammadelta T cells often had an immunophenotype distinct from the alphabeta T cells, with differences in CD5 expression as the most common (n = 17), followed by differences in CD3 (n = 6) and CD7 (n = 3). CD16 coexpression by the gammadelta T cells was also frequent (n = 20). In 28 (78%) of 36 cases, there were one or more associated conditions: infection/inflammatory disease (n = 18), autoimmune disease (n = 9), lymphoproliferative disorder (n = 6), and splenectomy (n = 3). CONCLUSIONS Circulating gammadelta T cells are immunophenotypically distinct from alphabeta T cells, and mild increases in these cells are not uncommon and may be associated with immune system activation and splenectomy. Recognition of this phenomenon is important because reactive gammadelta T cells can exhibit distinctive immunophenotypic features that are also encountered in neoplastic conditions, such as T-cell large granular lymphocytic leukemia.
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Affiliation(s)
- Anja C Roden
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN55905, USA.
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Morice WG, Kurtin PJ, Hodnefield JM, Shanafelt TD, Hoyer JD, Remstein ED, Hanson CA. Predictive value of blood and bone marrow flow cytometry in B-cell lymphoma classification: comparative analysis of flow cytometry and tissue biopsy in 252 patients. Mayo Clin Proc 2008; 83:776-85. [PMID: 18613994 DOI: 10.4065/83.7.776] [Citation(s) in RCA: 79] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To study the effectiveness of peripheral blood (PB) and bone marrow flow cytometric immunophenotyping (FCIP) in predicting the histologic B-cell lymphoma type. PATIENTS AND METHODS We studied the FCIP results and tissue histopathology from 252 patients with B-cell lymphoma seen at Mayo Clinic's site in Rochester, MN, between January 1, 1997, and January 1, 2004, who had positive results on PB, bone marrow, or body fluid FCIP and a corresponding diagnostic tissue biopsy specimen. RESULTS Most of the B-cell lymphomas studied were low grade, with chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma being most common. Flow cytometric immunophenotyping histogram analysis was more informative than tabulated percentage antigen positivity; surface immunoglobulin and CD20 staining intensity, CD5 and CD23 positivity, CD10 positivity, and the coexpression of CD11c/CD22 and CD103 were the most pertinent markers. Using these FCIP parameters and strict immunophenotypic definitions for CLL, mantle cell lymphoma (MCL), and hairy cell leukemia, we obtained greater than 95% specificity for each diagnosis. However, we encountered the following exceptions to standard paradigms of B-cell lymphoma-associated FCIP: (1) CD5 expression by disorders distinct from CLL and MCL, (2) lack of uniform CD5 positivity in some CLL and MCL cases, (3) absence of CD10 in approximately 50% of follicular lymphomas, and (4) expression of CD103 by occasional marginal zone lymphomas. CONCLUSION Stringent interpretation of PB and bone marrow FCIP results enables identification of certain B-cell lymphoma types. However, the observed exceptions to accepted immunophenotypic paradigms highlight the occasional phenotypic overlap among diseases and emphasize that a systematic approach to FCIP interpretations is key to providing clinically useful diagnostic information.
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Affiliation(s)
- William G Morice
- Division of Hematopathology, Mayo Clinic, Rochester, MN 55905, USA.
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