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Das N, Gajendra S, Gupta R. Analytical Appraisal of Hematogones in B-ALL MRD Assessment Using Multidimensional Dot-Plots by Multiparametric Flow Cytometry: A Critical Review and Update. Indian J Hematol Blood Transfus 2024; 40:12-24. [PMID: 38312180 PMCID: PMC10830989 DOI: 10.1007/s12288-023-01696-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 08/25/2023] [Indexed: 02/06/2024] Open
Abstract
The spectrum of benign B-cell precursors, known as hematogones (HGs), shows a significant morphological and immunophenotypic overlap with their malignant counterpart i.e. B-lymphoid blasts (BLBs). This results in a diagnostic dilemma in assessment of cases wherein there is a physiological preponderance of HGs and also poses a significant challenge in measurable residual disease assessment in B-cell acute lymphoblastic leukaemia. Consequently, expression patterns of various immunophenotypic markers are considered the most important tool in identification and delineation of HGs from BLBs. However, certain aspects of B-cell compartment evaluation by flow cytometric immunophenotyping and its relevance in clinical scenarios is yet to be defined precisely. This review summarizes current flowcytometric data on HGs and its discrimination from BLBs based on thorough review of literature and evaluation of in-house data. Furthermore, it focuses on the utility of an additional analytical tool i.e., radar plot for a comprehensive representation of various subsets of the B-cell compartment and their differentiation from BLBs. Supplementary Information The online version contains supplementary material available at 10.1007/s12288-023-01696-5.
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Affiliation(s)
- Nupur Das
- Laboratory Oncology, Dr. BRAIRCH, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029 India
| | - Smeeta Gajendra
- Laboratory Oncology, Dr. BRAIRCH, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029 India
| | - Ritu Gupta
- Laboratory Oncology, Dr. BRAIRCH, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029 India
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Shameli A, Dharmani-Khan P, Auer I, Shabani-Rad MT. Deep immunophenotypic analysis of the bone marrow progenitor cells in myelodysplastic syndromes. Leuk Res 2023; 134:107401. [PMID: 37774446 DOI: 10.1016/j.leukres.2023.107401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 08/23/2023] [Accepted: 09/22/2023] [Indexed: 10/01/2023]
Abstract
BACKGROUND Diagnosis of myelodysplastic syndromes (MDS) is often challenging and requires integration of clinical, morphologic, cytogenetics and molecular information. Flow cytometry immunophenotyping (FCIP) can support the diagnosis by demonstration of numerical and immunophenotypic abnormalities of progenitor and maturing myelomonocytic and erythroid populations. We have previously shown that comprehensive immunophenotypic analysis of the progenitor population is valuable in the diagnosis of MDS and myelodysplastic/myeloproliferative neoplasms (MDS/MPN). This study was designed to improve the analysis method and confirm its value in a larger cohort of patients. METHODS FCIP of bone marrow samples from 105 patients with cytopenia(s) (with or without leukocytosis) and clinical concern for MDS or MDS/MPN was performed using a single-tube/10-color/13-marker assay. A modified analysis approach was used to obtain 11 progenitor parameters and 2 myelomonocytic parameters. RESULTS Significantly higher number of abnormalities were identified in MDS and MDS/MPN cases when compared to cytopenic patients not meeting the diagnostic criteria for MDS (Non-MDS). A FCIP score that combined the 13 parameters showed a sensitivity of 89.8% and specificity of 93.5% for the diagnosis of MDS and MDS/MPN. The sensitivity was 100% for both MDS/MPN and higher-risk MDS, and 81.3% for lower-risk MDS. CONCLUSION This study confirms that detailed immunophenotypic analysis of the progenitor population is powerful in the diagnosis of MDS and MDS/MPN. The combination of markers used in the panel allowed for evaluation of two relatively new parameters, namely myeloid progenitor heterogeneity and stem cell aberrancy, which improved the sensitivity of the assay for lower-risk MDS.
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Affiliation(s)
- Afshin Shameli
- Department of Laboratory Medicine and Pathology, University of Washington, WA, United States.
| | - Poonam Dharmani-Khan
- Division of Hematopathology, Alberta Precision Laboratories, South Zone, and Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
| | - Iwona Auer
- Division of Hematopathology, Alberta Precision Laboratories, South Zone, and Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
| | - Meer-Taher Shabani-Rad
- Division of Hematopathology, Alberta Precision Laboratories, South Zone, and Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
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Bento LC, Correia RP, de Sousa FA, Bacal NS. A novel approach for MRD assessment by high-sensitivity flow cytometry and multidimensional radar visualization. Int J Lab Hematol 2023; 45:616-619. [PMID: 36907222 DOI: 10.1111/ijlh.14054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 02/21/2023] [Indexed: 03/14/2023]
Affiliation(s)
- Laiz Cameirão Bento
- Clinical Pathology Laboratory, Flow Cytometry Division, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Rodolfo Patussi Correia
- Clinical Pathology Laboratory, Flow Cytometry Division, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Flávia Arandas de Sousa
- Clinical Pathology Laboratory, Flow Cytometry Division, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Nydia Strachman Bacal
- Clinical Pathology Laboratory, Flow Cytometry Division, Hospital Israelita Albert Einstein, São Paulo, Brazil
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Measurable residual disease in adult acute myeloid leukaemia: evaluation of a multidimensional 'radar' flow cytometric plot analysis method. Pathology 2023; 55:383-390. [PMID: 36725446 DOI: 10.1016/j.pathol.2022.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 09/11/2022] [Accepted: 10/09/2022] [Indexed: 01/01/2023]
Abstract
Measurable residual disease (MRD) monitoring in acute myeloid leukaemia (AML) is becoming increasingly important and is predominantly performed by multiparameter flow cytometry (MFC) or quantitative polymerase chain reactions (RT-qPCR). We investigated the use of multidimensional plots (MD-MFC) for AML MRD monitoring in an adult cohort. AML MRD was determined using a novel MD-MFC method for 115 MRD samples. Results were correlated with traditional two-dimensional MFC (2D-MFC) and molecular methods. Using the standard cut-off of 0.1% CD45+ cells, concordance was 99/115 (p=0.332). Eighty-four of 115 were concordant using a very low reporting limit of 0.01% (p=0.216). MRD <0.1% by either method was present in 40 of 115 samples. Fifteen of 40 were MD-MFC positive and 2D-MFC negative. Of these two of 15 had a molecular MRD marker and both were positive. Molecular MRD markers were available in 36 of 115 cases. Twenty-one of 36 (58%) were concordant with MD-MFC. Eight of 36 had detectable molecular MRD only and eight of 36 had positive MD-MFC only. There was no correlation between either the MFC method and the molecular results. In summary, there is good correlation between MD- and 2D-MFC-MRD and no correlation between the MFC and molecular methods.
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Haeusner S, Jauković A, Kupczyk E, Herrmann M. Review: cellularity in bone marrow autografts for bone and fracture healing. Am J Physiol Cell Physiol 2023; 324:C517-C531. [PMID: 36622067 DOI: 10.1152/ajpcell.00482.2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The use of autografts, as primary cell and tissue source, is the current gold standard approach to treat critical size bone defects and nonunion defects. The unique mixture of the autografts, containing bony compartments and bone marrow (BM), delivers promising results. Although BM mesenchymal stromal cells (BM-MSCs) still represent a major target for various healing approaches in current preclinical research and respective clinical trials, their occurrence in the human BM is typically low. In vitro expansion of this cell type is regulatory challenging as well as time and cost intensive. Compared with marginal percentages of resident BM-MSCs in BM, BM mononuclear cells (BM-MNCs) contained in BM aspirates, concentrates, and bone autografts represent a readily available abundant cell source, applicable within hours during surgical procedures without the need for time-consuming and regulatory challenging cell expansion. This benefit is one reason why autografting has become a clinical standard procedure. However, the exact anatomy and cellularity of BM-MNCs in humans, which is strongly correlated to their unique mode of action and wide application range remains to be elucidated. The aim of this review was to present an overview of the current knowledge on these specific cell types found in human BM, emphasize the contribution of BM-MNCs in bone healing, highlight donor site dependence, and discuss limitations in the current isolation and subsequent characterization procedures. Hereby, the most recent and relevant examples of human BM-MNC cell characterization, flow cytometric analyses, and findings are summarized, with a strong focus on bone therapy.
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Affiliation(s)
- S Haeusner
- IZKF Group Tissue Regeneration in Musculoskeletal Diseases, University Hospital of Wuerzburg, Wuerzburg, Germany.,Bernhard-Heine-Center for Locomotion Research, University of Wuerzburg, Wuerzburg, Germany
| | - A Jauković
- Group for Hematology and Stem Cells, Institute for Medical Research, University of Belgrade, Belgrade, Serbia
| | - E Kupczyk
- Department of Trauma, Hand, Plastic and Reconstructive Surgery, University Hospital of Wuerzburg, Wuerzburg, Germany
| | - M Herrmann
- IZKF Group Tissue Regeneration in Musculoskeletal Diseases, University Hospital of Wuerzburg, Wuerzburg, Germany.,Bernhard-Heine-Center for Locomotion Research, University of Wuerzburg, Wuerzburg, Germany
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Porwit A, Béné MC, Duetz C, Matarraz S, Oelschlaegel U, Westers TM, Wagner-Ballon O, Kordasti S, Valent P, Preijers F, Alhan C, Bellos F, Bettelheim P, Burbury K, Chapuis N, Cremers E, Della Porta MG, Dunlop A, Eidenschink-Brodersen L, Font P, Fontenay M, Hobo W, Ireland R, Johansson U, Loken MR, Ogata K, Orfao A, Psarra K, Saft L, Subira D, Te Marvelde J, Wells DA, van der Velden VHJ, Kern W, van de Loosdrecht AA. Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues: Recommendations from the European LeukemiaNet/International Myelodysplastic Syndrome Flow Cytometry Working Group. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2023; 104:27-50. [PMID: 36537621 PMCID: PMC10107708 DOI: 10.1002/cyto.b.22108] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/20/2022] [Accepted: 11/29/2022] [Indexed: 01/18/2023]
Abstract
Multiparameter flow cytometry (MFC) is one of the essential ancillary methods in bone marrow (BM) investigation of patients with cytopenia and suspected myelodysplastic syndrome (MDS). MFC can also be applied in the follow-up of MDS patients undergoing treatment. This document summarizes recommendations from the International/European Leukemia Net Working Group for Flow Cytometry in Myelodysplastic Syndromes (ELN iMDS Flow) on the analytical issues in MFC for the diagnostic work-up of MDS. Recommendations for the analysis of several BM cell subsets such as myeloid precursors, maturing granulocytic and monocytic components and erythropoiesis are given. A core set of 17 markers identified as independently related to a cytomorphologic diagnosis of myelodysplasia is suggested as mandatory for MFC evaluation of BM in a patient with cytopenia. A myeloid precursor cell (CD34+ CD19- ) count >3% should be considered immunophenotypically indicative of myelodysplasia. However, MFC results should always be evaluated as part of an integrated hematopathology work-up. Looking forward, several machine-learning-based analytical tools of interest should be applied in parallel to conventional analytical methods to investigate their usefulness in integrated diagnostics, risk stratification, and potentially even in the evaluation of response to therapy, based on MFC data. In addition, compiling large uniform datasets is desirable, as most of the machine-learning-based methods tend to perform better with larger numbers of investigated samples, especially in such a heterogeneous disease as MDS.
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Affiliation(s)
- Anna Porwit
- Division of Oncology and Pathology, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Marie C Béné
- Hematology Biology, Nantes University Hospital, CRCINA Inserm 1232, Nantes, France
| | - Carolien Duetz
- Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Sergio Matarraz
- Cancer Research Center (IBMCC-USAL/CSIC), Department of Medicine and Cytometry Service, Institute for Biomedical Research of Salamanca (IBSAL) and CIBERONC, University of Salamanca, Salamanca, Spain
| | - Uta Oelschlaegel
- Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU Dresden, Dresden, Germany
| | - Theresia M Westers
- Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Orianne Wagner-Ballon
- Department of Hematology and Immunology, Assistance Publique-Hôpitaux de Paris, University Hospital Henri Mondor, Créteil, France
- Inserm U955, Université Paris-Est Créteil, Créteil, France
| | | | - Peter Valent
- Department of Internal Medicine I, Division of Hematology & Hemostaseology and Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, Austria
| | - Frank Preijers
- Laboratory of Hematology, Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Canan Alhan
- Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands
| | | | - Peter Bettelheim
- Department of Hematology, Ordensklinikum Linz, Elisabethinen, Linz, Austria
| | - Kate Burbury
- Department of Haematology, Peter MacCallum Cancer Centre, & University of Melbourne, Melbourne, Australia
| | - Nicolas Chapuis
- Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Centre-Université de Paris, Cochin Hospital, Paris, France
- Institut Cochin, INSERM U1016, CNRS UMR, Université de Paris, Paris, France
| | - Eline Cremers
- Division of Hematology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Matteo G Della Porta
- IRCCS Humanitas Research Hospital, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Alan Dunlop
- Department of Haemato-Oncology, Royal Marsden Hospital, London, UK
| | | | - Patricia Font
- Department of Hematology, Hospital General Universitario Gregorio Marañon-IiSGM, Madrid, Spain
| | - Michaela Fontenay
- Laboratory of Hematology, Assistance Publique-Hôpitaux de Paris, Centre-Université de Paris, Cochin Hospital, Paris, France
- Institut Cochin, INSERM U1016, CNRS UMR, Université de Paris, Paris, France
| | - Willemijn Hobo
- Department of Internal Medicine I, Division of Hematology & Hemostaseology and Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, Austria
| | - Robin Ireland
- Department of Haematology and SE-HMDS, King's College Hospital NHS Foundation Trust, London, UK
| | - Ulrika Johansson
- Laboratory Medicine, SI-HMDS, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | | | - Kiyoyuki Ogata
- Metropolitan Research and Treatment Centre for Blood Disorders (MRTC Japan), Tokyo, Japan
| | - Alberto Orfao
- Cancer Research Center (IBMCC-USAL/CSIC), Department of Medicine and Cytometry Service, Institute for Biomedical Research of Salamanca (IBSAL) and CIBERONC, University of Salamanca, Salamanca, Spain
| | - Katherina Psarra
- Department of Immunology - Histocompatibility, Evangelismos Hospital, Athens, Greece
| | - Leonie Saft
- Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital and Institute Solna, Stockholm, Sweden
| | - Dolores Subira
- Department of Hematology, Flow Cytometry Unit, Hospital Universitario de Guadalajara, Guadalajara, Spain
| | - Jeroen Te Marvelde
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Vincent H J van der Velden
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Arjan A van de Loosdrecht
- Department of Hematology, Amsterdam UMC, VU University Medical Center Cancer Center Amsterdam, Amsterdam, The Netherlands
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Shopsowitz KE, Liu L, Setiadi A, Al-Bakri M, Vercauteren S. Machine learning optimized multiparameter radar plots for B-cell acute lymphoblastic leukemia minimal residual disease analysis. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2022; 102:342-352. [PMID: 35726954 DOI: 10.1002/cyto.b.22084] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 05/05/2022] [Accepted: 05/23/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Flow cytometry is widely used for B-ALL minimal residual disease (MRD) analysis given its speed, availability, and sensitivity; however, distinguishing B-lymphoblasts from regenerative B-cells is not always straightforward. Radar plots, which project multiple markers onto a single plot, have been applied to other MRD analyses. Here we aimed to develop optimized radar plots for B-ALL MRD analysis. METHODS We compiled Children's Oncology Group (COG) flow data from 20 MRD-positive and 9 MRD-negative B-ALL cases (enriched for hematogones) to create labeled training and test data sets with equal numbers of B-lymphoblasts, hematogones, and mature B-cells. We used an automated approach to create hundreds of radar plots and ranked them based on the ability of support vector machine (SVM) models to separate blasts from normal B-cells in the training data set. Top-performing radar plots were compared with PCA, t-SNE, and UMAP plots, evaluated with the test data set, and integrated into clinical workflows. RESULTS SVM area under the ROC curve (AUC) for COG tube 1/2 radar plots improved from 0.949/0.921 to 0.989/0.968 after optimization. Performance was superior to PCA plots and comparable to UMAP, but with better generalizability to new data. When integrated into an MRD workflow, optimized radar plots distinguished B-lymphoblasts from other CD19-positive populations. MRD quantified by radar plots and serial gating were strongly correlated. DISCUSSION Radar plots were successfully optimized to discriminate between diverse B-lymphoblast populations and non-malignant CD19-positive populations in B-ALL MRD analysis. Our novel radar plot optimization strategy could be adapted to other MRD panels and clinical scenarios.
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Affiliation(s)
- Kevin E Shopsowitz
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Lorraine Liu
- Division of Hematopathology, British Columbia Children's Hospital, Vancouver, Canada
| | - Audi Setiadi
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
- Division of Hematopathology, British Columbia Children's Hospital, Vancouver, Canada
| | - Maryam Al-Bakri
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Suzanne Vercauteren
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
- Division of Hematopathology, British Columbia Children's Hospital, Vancouver, Canada
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Mestrum SG, Cremers EM, de Wit NC, Drent RJ, Ramaekers FC, Hopman AH, Leers MP. Integration of the Ki-67 proliferation index into the Ogata score improves its diagnostic sensitivity for low-grade myelodysplastic syndromes. Leuk Res 2022; 113:106789. [DOI: 10.1016/j.leukres.2022.106789] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/30/2021] [Accepted: 01/10/2022] [Indexed: 11/27/2022]
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A Novel Method for the Evaluation of Bone Marrow Samples from Patients with Pediatric B-Cell Acute Lymphoblastic Leukemia-Multidimensional Flow Cytometry. Cancers (Basel) 2021; 13:cancers13205044. [PMID: 34680191 PMCID: PMC8533788 DOI: 10.3390/cancers13205044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 09/23/2021] [Accepted: 10/04/2021] [Indexed: 11/17/2022] Open
Abstract
Simple Summary By supporting the selection of the most suitable treatment protocol, the advancement of diagnostic methods contributes to achieving the best possible outcome for pediatric cases of acute lymphoblastic leukemia (ALL). In this study, we focused on a novel possibility in the flow cytometric (FC) analysis, as this method is the initial, crucial step in the diagnostic algorithm of ALL and can determine further diagnostic and therapeutic strategies. After the retrospective, multidimensional dot-plot-based FC analysis of 72 bone marrow samples of children with ALL, we found that the integrated appearance of immunophenotype resulted in a simple, quick, and accurate method. Furthermore, associations between immunophenotype and cytogenetic alterations were detected, which enabled the identification of cases with potential adverse outcome by completing the conventional FC analysis with multidimensional dot-plots. Standardized multi-center studies would be required to validate our results. Abstract Multicolor flow cytometry (FC) evaluation has a key role in the diagnosis and prognostic stratification of ALL. Our aim was to create new analyzing protocols using multidimensional dot-plots. Seventy-two pediatric patients with ALL were included in this single-center study. Data of a normal BM sample and three BM samples of patients with BCP-ALL were merged, then all B cell populations of the four samples were presented in a single radar dot-plot, and those parameters and locations were selected in which the normal and pathological cell populations differed from each other the most. The integrated profile of immunophenotype resulted in a simple, rapid, and accurate method. There were no significant differences between the percentages of lymphoblasts in the detection of minimal residual disease (MRD) by multidimensional or conventional FC method (p = 0.903 at Day 15 and p = 0.155 at Day 33). Furthermore, we found associations between the position and the number of clusters of blast cells in the radar plots and cytogenetic properties (p = 0.002 and p < 0.0001 by the position and p = 0.02 by the number of subclones). FC analysis based on multidimensional dot-plots is not only a rapid, easy-to-use method, but can also provide additional information to screen cases which require detailed genetic examination.
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DiGiuseppe JA. Issue Highlights-July 2021. CYTOMETRY PART B-CLINICAL CYTOMETRY 2021; 100:393-396. [PMID: 34292659 DOI: 10.1002/cyto.b.22027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Chauhan R, Singh J, Sharma C, Dange P, Chopra A, Mahapatra M, Pati H. The utility of a single tube 10-color flow cytometry for quantitative and qualitative analysis in myelodysplastic syndrome- a pilot study. Leuk Res 2021; 107:106651. [PMID: 34218155 DOI: 10.1016/j.leukres.2021.106651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 06/19/2021] [Accepted: 06/28/2021] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Assessment of myelodysplasia (MDS) by flow cytometry (FCM) includes elaborate panels, and interpretation is observer-dependent. This study evaluates single tube 10-color FCM in a test cohort of clinically suspected MDS patients. METHODS We analyzed fifty-six bone marrow (BM) samples from clinically suspected MDS patients in a morphology-blinded manner along with controls using a 10-color single tube flow cytometry. We analyzed the reproducibility of Ogata score and modified FCM scores, additionally incorporating the proportion of CD15, CD11b, CD56, and CD38MFI on CD34+CD19-cluster for each patient. Patients were grouped as proven-MDS, suspected-MDS, and non-MDS groups based on morphology and cytogenetics. Optimized multi-axial radar-plots were also used to analyze maturation patterns in the granulocytic, monocytic, and blast progenitor compartments of proven-MDS cases and controls. RESULTS Flow cytometric abnormalities ≥3 were present in proven-MDS (n = 23) with a sensitivity and specificity of 78 % and 94 %, respectively, as per Ogata score. The addition of CD38 MFI to the score yielded sensitivity and specificity of 82 % and 88 %, respectively. Additional analysis of aberrant expression of CD15, CD11b, and CD56 increased the diagnostic power of the FCM score. A qualitative analysis of data also showed differences in maturation patterns in proven-MDS compared to the control group. CONCLUSION Single tube 10-color FCM scoring, including Ogata score, modified-FCM scores, and radar plots pattern analysis, showed significant abnormalities in proven-MDS cases in this pilot study. Large databases, including FCM-scoring and pattern-based analysis for normal BM maturation, could be further validated and standardized for screening MDS.
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Affiliation(s)
- Richa Chauhan
- Department of Hematology, Sir Ganga Ram Hospital, New Delhi, India
| | - Jay Singh
- Department of Laboratory Oncology, B.R.A.I.R.C.H., AIIMS, New Delhi, India
| | - Charu Sharma
- Department of Mathematics, Shiv Nadar University, Noida, U.P, India
| | - Prasad Dange
- Department of Hematology, All India Institute of Medical Sciences, New Delhi, India
| | - Anita Chopra
- Department of Laboratory Oncology, B.R.A.I.R.C.H., AIIMS, New Delhi, India.
| | - Manoranjan Mahapatra
- Department of Hematology, All India Institute of Medical Sciences, New Delhi, India
| | - Haraparasad Pati
- Department of Hematology, All India Institute of Medical Sciences, New Delhi, India
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Muller J, Garrison L, Ulbrich P, Schreiber S, Bruckner S, Hauser H, Oeltze-Jafra S. Integrated Dual Analysis of Quantitative and Qualitative High-Dimensional Data. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2021; 27:2953-2966. [PMID: 33534707 DOI: 10.1109/tvcg.2021.3056424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The Dual Analysis framework is a powerful enabling technology for the exploration of high dimensional quantitative data by treating data dimensions as first-class objects that can be explored in tandem with data values. In this article, we extend the Dual Analysis framework through the joint treatment of quantitative (numerical) and qualitative (categorical) dimensions. Computing common measures for all dimensions allows us to visualize both quantitative and qualitative dimensions in the same view. This enables a natural joint treatment of mixed data during interactive visual exploration and analysis. Several measures of variation for nominal qualitative data can also be applied to ordinal qualitative and quantitative data. For example, instead of measuring variability from a mean or median, other measures assess inter-data variation or average variation from a mode. In this work, we demonstrate how these measures can be integrated into the Dual Analysis framework to explore and generate hypotheses about high-dimensional mixed data. A medical case study using clinical routine data of patients suffering from Cerebral Small Vessel Disease (CSVD), conducted with a senior neurologist and a medical student, shows that a joint Dual Analysis approach for quantitative and qualitative data can rapidly lead to new insights based on which new hypotheses may be generated.
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Gupta M, Jafari K, Rajab A, Wei C, Mazur J, Tierens A, Hyjek E, Musani R, Porwit A. Radar plots facilitate differential diagnosis of acute promyelocytic leukemia and NPM1+ acute myeloid leukemia by flow cytometry. CYTOMETRY PART B-CLINICAL CYTOMETRY 2020; 100:409-420. [PMID: 33301193 PMCID: PMC8359362 DOI: 10.1002/cyto.b.21979] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 11/09/2020] [Accepted: 11/24/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Acute promyelocytic leukemia (APL) is one of the most life-threatening hematological emergencies and requires a prompt correct diagnosis by cytomorphology and flow cytometry (FCM) with later confirmation by cytogenetics/molecular genetics. However, nucleophosmin 1 muted acute myeloid leukemia (NPM1+ AML) can mimic APL, especially the hypogranular variant of APL. Our study aimed to develop a novel, Radar plot-based FCM strategy to distinguish APLs and NPM1+ AMLs quickly and accurately. METHOD Diagnostic samples from 52 APL and 32 NPM1+ AMLs patients were analyzed by a 3-tube panel of 10-color FCM. Radar plots combining all markers were constructed for each tube. Percentages of positive leukemic cells and mean fluorescence intensity were calculated for all the markers. RESULTS APL showed significantly higher expression of CD64, CD2, and CD13, whereas more leukemic cells were positive for CD11b, CD11c, CD15, CD36, and HLA-DR in NPM1+ AMLs. Radar plots featured CD2 expression, a lack of a monocytic component, lack of expression of HLA-DR and CD15, and a lack of a prominent CD11c+ population as recurring characteristics of APL. The presence of blasts with low SSC, presence of at least some monocytes, some expression of HLA-DR and/or CD15, and a prominent CD11c population were recurrent characteristics of NPM1+ AMLs. Radar plot analysis could confidently separate all hypergranular APL cases from any NPM1+ AML and in 90% of cases between variant APL and blastic NPM1+ AML. CONCLUSION Radar plots can potentially add to differential diagnostics as they exhibit characteristic patterns distinguishing APL and different types of NPM1+ AMLs.
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Affiliation(s)
- Monali Gupta
- Immunophenotyping Laboratory, Viapath Analytics LLP, Department of Hematology, Kings College Hospital, London, UK.,Department of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada
| | - Katayoon Jafari
- Department of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.,Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Amr Rajab
- Department of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.,Medical-Scientific Department, Lifelabs Medical Laboratory Services, Toronto, Ontario, Canada
| | - Cuihong Wei
- Department of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.,Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Joanna Mazur
- Department of Humanization of Medicine and Sexology, Collegium Medicum, University of Zielona Gora, Zielona Gora, Poland.,Department of Child and Adolescent Health, Institute of Mother and Child, Warsaw, Poland
| | - Anne Tierens
- Department of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada
| | - Elizabeth Hyjek
- Department of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.,Department of Pathology, University of Chicago, Chicago, Illinois, USA
| | - Rumina Musani
- Department of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada
| | - Anna Porwit
- Department of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.,Faculty of Medicine, Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden
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14
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Shestakova A, Nael A, Nora V, Rezk S, Zhao X. Automated leukocyte parameters are useful in the assessment of myelodysplastic syndromes. CYTOMETRY PART B-CLINICAL CYTOMETRY 2020; 100:299-311. [PMID: 33002332 DOI: 10.1002/cyto.b.21947] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 07/03/2020] [Accepted: 07/30/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND Study utility of seven automated VCS parameters (V-volume, C-conductivity and S-scatter) in leukocytes as an objective read-out of dysplasia in Myelodysplastic Syndromes (MDS). METHODS Peripheral blood was analyzed by Beckman-Coulter DxH800 hematology analyzer in 43 patients with low-grade, high-grade MDS and 21 control individuals. The differences in mean (MN) and standard deviation (SD) of each parameter were examined. The optimal sensitivity and specificity to predict MDS were determined by statistical analysis. RESULTS In neutrophils, all means of the light scatters were significantly lower in high-grade MDS than in the control group. Mean median angle light scatter (MN-MALS-NE) and mean upper median angle light scatter (MN-UMALS-NE) were significantly different between low-grade MDS and control patients. MN-MALS-NE as a MDS predictor revealed 63% sensitivity and 67% specificity with a cutoff value of ≤133. SDs of each parameter in neutrophils differed significantly among three groups. SD of neutrophil upper median angle light scatter (SD-UMALS-NE) had 77% sensitivity and 82% specificity (cutoff value of ≥11.16) to predict MDS. CONCLUSIONS MDS patients have a significant decrease with a linear trend in VCS parameters in neutrophils, indicating cell dysplasia. The degree of the heterogeneity measured by SD is the most predictive of MDS.
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Affiliation(s)
- Anna Shestakova
- Department of Pathology, University of California, Irvine, Orange, California, USA.,Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Ali Nael
- Department of Pathology, University of California, Irvine, Orange, California, USA.,Children Hospital of Orange Country, Orange, California, USA
| | - Virgilita Nora
- Department of Pathology, University of California, Irvine, Orange, California, USA
| | - Sherif Rezk
- Department of Pathology, University of California, Irvine, Orange, California, USA
| | - Xiaohui Zhao
- Department of Pathology, University of California, Irvine, Orange, California, USA
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15
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Violidaki D, Axler O, Jafari K, Bild F, Nilsson L, Mazur J, Ehinger M, Porwit A. Analysis of erythroid maturation in the nonlysed bone marrow with help of radar plots facilitates detection of flow cytometric aberrations in myelodysplastic syndromes. CYTOMETRY PART B-CLINICAL CYTOMETRY 2020; 98:399-411. [DOI: 10.1002/cyto.b.21931] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 05/12/2020] [Accepted: 05/27/2020] [Indexed: 11/11/2022]
Affiliation(s)
- Despoina Violidaki
- Department of Clinical Genetics and Pathology Skåne University Hospital Lund Sweden
- Department of Clinical Sciences Oncology and Pathology, Lund University Lund Sweden
| | - Olof Axler
- Department of Clinical Genetics and Pathology Skåne University Hospital Lund Sweden
| | - Katayoon Jafari
- Department of Pathology University of Saskatchewan, Royal University Hospital Saskatoon Saskatchewan Canada
| | - Filippa Bild
- Department of Clinical Genetics and Pathology Skåne University Hospital Lund Sweden
| | - Lars Nilsson
- Department of Hematology, Oncology and Radiation Physics Skåne University Hospital Lund Sweden
| | - Joanna Mazur
- Department of Humanization of Medicine and Sexology Collegium Medicum University of Zielona Gora Zielona Gora Poland
| | - Mats Ehinger
- Department of Clinical Genetics and Pathology Skåne University Hospital Lund Sweden
- Department of Clinical Sciences Oncology and Pathology, Lund University Lund Sweden
| | - Anna Porwit
- Department of Clinical Genetics and Pathology Skåne University Hospital Lund Sweden
- Department of Clinical Sciences Oncology and Pathology, Lund University Lund Sweden
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16
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Bento L, Correia R, Sousa F, Vaz A, Pedro E, Schimidell D, Millan N, Passaro M, Barroso R, Bacal N. Performance of eight‐color dry antibody reagent in the detection of minimal residual disease in chronic lymphocytic leukemia samples. CYTOMETRY PART B-CLINICAL CYTOMETRY 2020; 98:529-535. [DOI: 10.1002/cyto.b.21875] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 03/06/2020] [Accepted: 03/12/2020] [Indexed: 11/08/2022]
Affiliation(s)
- Laiz Bento
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
| | - Rodolfo Correia
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
| | - Flávia Sousa
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
| | - Andressa Vaz
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
| | - Eduardo Pedro
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
| | - Daniela Schimidell
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
| | - Nadila Millan
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
| | - Marilia Passaro
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
| | - Rodrigo Barroso
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
| | - Nydia Bacal
- Flow Cytometry Clinical Laboratory Hospital Isarelita Albert Einstein São Paulo Brazil
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17
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Lo MK, Amblard F, Flint M, Chatterjee P, Kasthuri M, Li C, Russell O, Verma K, Bassit L, Schinazi RF, Nichol ST, Spiropoulou CF. Potent in vitro activity of β-D-4'-chloromethyl-2'-deoxy-2'-fluorocytidine against Nipah virus. Antiviral Res 2020; 175:104712. [PMID: 31935422 PMCID: PMC7054849 DOI: 10.1016/j.antiviral.2020.104712] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 01/06/2020] [Accepted: 01/10/2020] [Indexed: 12/26/2022]
Abstract
Nipah virus (NiV) is a highly pathogenic zoonotic paramyxovirus that continues to cause outbreaks in humans characterized by high mortality and significant clinical sequelae in survivors. Currently, no therapeutics are approved for use in humans against NiV infection. Here, we report that 4'-chloromethyl-2'-deoxy-2'-fluorocytidine (ALS-8112) inhibits NiV. ALS-8112 is the parent nucleoside of lumicitabine, which has been evaluated in phase I and II clinical trials to treat pediatric and adult respiratory syncytial virus infection. In this study, we tested ALS-8112 against NiV and other major human respiratory pneumo- and paramyxoviruses in 2 human lung epithelial cell lines, and demonstrated the ability of ALS-8112 to reduce infectious wild-type NiV yield by over 6 orders of magnitude with no apparent cytotoxicity. However, further cytotoxicity testing in primary cells and bone marrow progenitor cells indicated cytotoxicity at higher concentrations of ALS-8112. Our results warrant the evaluation of lumicitabine against NiV infection in relevant animal models.
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Affiliation(s)
- Michael K Lo
- Viral Special Pathogens Branch, US Centers for Disease Control and Prevention, 1600 Clifton Road, Mailstop G-14, Atlanta, GA, 30329, USA.
| | - Franck Amblard
- Center for AIDS Research, Laboratory of Biochemical Pharmacology Emory University, Department of Pediatrics, 1760 Haygood Drive NE, Atlanta, GA, 30322, USA
| | - Mike Flint
- Viral Special Pathogens Branch, US Centers for Disease Control and Prevention, 1600 Clifton Road, Mailstop G-14, Atlanta, GA, 30329, USA
| | - Payel Chatterjee
- Viral Special Pathogens Branch, US Centers for Disease Control and Prevention, 1600 Clifton Road, Mailstop G-14, Atlanta, GA, 30329, USA
| | - Mahesh Kasthuri
- Center for AIDS Research, Laboratory of Biochemical Pharmacology Emory University, Department of Pediatrics, 1760 Haygood Drive NE, Atlanta, GA, 30322, USA
| | - Chengwei Li
- Center for AIDS Research, Laboratory of Biochemical Pharmacology Emory University, Department of Pediatrics, 1760 Haygood Drive NE, Atlanta, GA, 30322, USA
| | - Olivia Russell
- Center for AIDS Research, Laboratory of Biochemical Pharmacology Emory University, Department of Pediatrics, 1760 Haygood Drive NE, Atlanta, GA, 30322, USA
| | - Kiran Verma
- Center for AIDS Research, Laboratory of Biochemical Pharmacology Emory University, Department of Pediatrics, 1760 Haygood Drive NE, Atlanta, GA, 30322, USA
| | - Leda Bassit
- Center for AIDS Research, Laboratory of Biochemical Pharmacology Emory University, Department of Pediatrics, 1760 Haygood Drive NE, Atlanta, GA, 30322, USA
| | - Raymond F Schinazi
- Center for AIDS Research, Laboratory of Biochemical Pharmacology Emory University, Department of Pediatrics, 1760 Haygood Drive NE, Atlanta, GA, 30322, USA
| | - Stuart T Nichol
- Viral Special Pathogens Branch, US Centers for Disease Control and Prevention, 1600 Clifton Road, Mailstop G-14, Atlanta, GA, 30329, USA
| | - Christina F Spiropoulou
- Viral Special Pathogens Branch, US Centers for Disease Control and Prevention, 1600 Clifton Road, Mailstop G-14, Atlanta, GA, 30329, USA.
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18
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Kárai B, Habók M, Reményi G, Rejtő L, Ujfalusi A, Kappelmayer J, Hevessy Z. A novel flow cytometric method for enhancing acute promyelocytic leukemia screening by multidimensional dot-plots. Ann Hematol 2019; 98:1413-1420. [PMID: 30830246 PMCID: PMC6511347 DOI: 10.1007/s00277-019-03642-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 02/19/2019] [Indexed: 11/17/2022]
Abstract
Acute promyelocytic leukemia (APL) is generally characterized by t(15;17)(q24;q21). In some cases, the classic translocation cannot be identified by conventional methods, since the PML-RARA fusion protein results from complex, variant, or cryptic translocation. The diagnostic algorithm of APL starts with screening methods, such as flow cytometry (FC), followed by fluorescence in situ hybridization or polymerase chain reaction to confirm the diagnosis. Our aim was to develop a novel protocol for analyzing APL samples based on multidimensional dot-plots that can provide comprehensive information about several markers at the same time. The protocol included four optimized multidimensional dot-plots, which were tested by retrospective reanalysis of FC results in APL (n = 8) and non-APL (n = 12) acute myeloid leukemia (AML) cases. After predicting the potential position of hypergranular- and microgranular-type aberrant promyelocytes, the percentages of blast populations were examined within the gates in all AML cases. The percentage of blasts in each predefined gate was well above the cut-off value (95%) in APL cases in all tubes. In non-APL AML cases, the percentage of blasts in the same gates never reached the cut-off value in all investigated tubes, and even when it did in a single tube, the pattern was markedly different from that observed in APL cases. In conclusion, multidimensional dot-plots can be used for screening APL even in cryptic APL cases, although reproducibility across several laboratories would require standardization of antibodies and fluorochromes. This easy-to-use and quick method can support the diagnosis of APL and the prompt initiation of the appropriate treatment.
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MESH Headings
- Adult
- Aged
- Antigens, CD/analysis
- Antigens, Neoplasm/analysis
- Biomarkers, Tumor/analysis
- Bone Marrow/pathology
- Chromosome Banding
- Chromosomes, Human, Pair 15/genetics
- Chromosomes, Human, Pair 15/ultrastructure
- Chromosomes, Human, Pair 17/genetics
- Chromosomes, Human, Pair 17/ultrastructure
- Data Display
- Early Detection of Cancer/methods
- Factor XIII/analysis
- Female
- Flow Cytometry/instrumentation
- Flow Cytometry/methods
- Fluorescent Dyes
- Humans
- Immunophenotyping/instrumentation
- Immunophenotyping/methods
- In Situ Hybridization, Fluorescence
- Leukemia, Promyelocytic, Acute/blood
- Leukemia, Promyelocytic, Acute/diagnosis
- Leukemia, Promyelocytic, Acute/genetics
- Male
- Middle Aged
- Neoplastic Stem Cells/pathology
- Oncogene Proteins, Fusion/genetics
- Retrospective Studies
- Translocation, Genetic
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Affiliation(s)
- Bettina Kárai
- Department of Laboratory Medicine, University of Debrecen, Nagyerdei krt. 98, Debrecen, H-4032, Hungary.
| | - Mira Habók
- Department of Laboratory Medicine, University of Debrecen, Nagyerdei krt. 98, Debrecen, H-4032, Hungary
| | - Gyula Reményi
- Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - László Rejtő
- Department of Hematology, Jósa András County Hospital, Nyíregyháza, Hungary
| | - Anikó Ujfalusi
- Department of Laboratory Medicine, University of Debrecen, Nagyerdei krt. 98, Debrecen, H-4032, Hungary
| | - János Kappelmayer
- Department of Laboratory Medicine, University of Debrecen, Nagyerdei krt. 98, Debrecen, H-4032, Hungary
| | - Zsuzsanna Hevessy
- Department of Laboratory Medicine, University of Debrecen, Nagyerdei krt. 98, Debrecen, H-4032, Hungary
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19
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Blum A, Haussmann K, Streitz M, Schlickeiser S, Tietze-Buerger C, Blau IW, Uharek L. Standardized assay for assessment of minimal residual disease in blood, bone marrow and apheresis from patients with plasma cell myeloma. Sci Rep 2019; 9:2922. [PMID: 30814612 PMCID: PMC6393516 DOI: 10.1038/s41598-019-39631-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 01/24/2019] [Indexed: 12/21/2022] Open
Abstract
The recent advances in myeloma treatment result in significantly better outcomes, defined as increased progression free survival (PFS) and overall survival (OS). Since there is a proven correlation between the extend of response and prolonged survival, there is an urgent need for highly sensitive assays for the detection of minimal residual disease (MRD). Next generation flow cytometry has become a valuable approach for sensitive evaluation of the depth of complete response (CR). Here, we report the diagnostic performance and validation results of a single-tube 9-color panel assay. The validation design included intra-assay analysis measuring accuracy, inter-assay analysis estimating method’s linearity and precision and inter-assay analysis evaluating repeatability. Furthermore, in inter-operator analysis assessed the comparability of the result analysis of different operators. Staining stability was evaluated in age-of-stain experiments. Our validation results show that a reliable detection of residual myeloma cells is feasible to a detection level of 10−5 with a single-tube assay for a variety of materials (peripheral blood, bone marrow and stem cell apheresis). This study establishes highly sensitive, fully standardized approach for MRD detection in myeloma that is ready for implementation in routine diagnostic laboratories.
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Affiliation(s)
- Agnieszka Blum
- Charité Stem Cell Facility, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin, 13353, Germany.
| | - Katy Haussmann
- Charité Stem Cell Facility, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin, 13353, Germany
| | - Mathias Streitz
- Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin, 13353, Germany
| | - Stephan Schlickeiser
- Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin, 13353, Germany
| | - Carola Tietze-Buerger
- Charité Stem Cell Facility, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin, 13353, Germany
| | - Igor Wolfgang Blau
- Department of Haematology, Oncology, Tumor Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin, 13353, Germany
| | - Lutz Uharek
- Charité Stem Cell Facility, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin, 13353, Germany
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20
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Duetz C, Westers TM, van de Loosdrecht AA. Clinical Implication of Multi-Parameter Flow Cytometry in Myelodysplastic Syndromes. Pathobiology 2018; 86:14-23. [PMID: 30227408 PMCID: PMC6482988 DOI: 10.1159/000490727] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 06/08/2018] [Indexed: 12/16/2022] Open
Abstract
Myelodysplastic syndromes (MDS) are a challenging group of diseases for clinicians and researchers, as both disease course and pathobiology are highly heterogeneous. In (suspected) MDS patients, multi-parameter flow cytometry can aid in establishing diagnosis, risk stratification and choice of therapy. This review addresses the developments and future directions of multi-parameter flow cytometry scores in MDS. Additionally, we propose an integrated diagnostic algorithm for suspected MDS.
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Affiliation(s)
- Carolien Duetz
- Department of Hematology, Cancer Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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21
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Kárai B, Miltényi Z, Gergely L, Száraz-Széles M, Kappelmayer J, Hevessy Z. The impact of delayed sample handling and type of anticoagulant on the interpretation of dysplastic signs detected by flow cytometry. Biochem Med (Zagreb) 2018; 28:020704. [PMID: 29666557 PMCID: PMC5898953 DOI: 10.11613/bm.2018.020704] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 01/31/2018] [Indexed: 11/01/2022] Open
Abstract
Introduction A growing body of evidence supports the usefulness of dysplastic signs detected by flow cytometry in the diagnosis of myelodysplastic syndromes (MDS). Our aim was to assess the impact of pre-analytical variables (delayed sample handling, type of anticoagulant, and different clones of antibody) in the interpretation of flow cytometric results. Material and methods Bone marrow samples were labelled and analysed immediately after aspiration and on two consecutive days. The effect of anticoagulant type was evaluated in 16 bone marrow samples. Thirty-seven different immunophenotypic variables were recorded after eight-colour staining. Furthermore, 8 normal peripheral blood samples collected in K3-EDTA and Na-heparin were examined with different clones of CD11b antibodies and four parameters were recorded with both anticoagulants on two consecutive days. Results Fourteen significant differences were detected in the initial immunophenotype of fresh samples collected in K3-EDTA and Na-heparin. Regardless of the anticoagulant type, eleven parameters remained stable despite delayed sample handling. Due to delayed sample processing, more alterations were detected in the samples collected in K3-EDTA than in the samples collected in Na-heparin. The type of CD11b clone influenced the reduction of fluorescence intensity only in samples collected in K3-EDTA, where the alterations were contrary to the changes observed in Na-heparin. Conclusions Delayed sample processing causes considerable immunohenotypic alterations, which can lead to false interpretation of the results. If delayed sample evaluation is unavoidable, markers that remain more stable over time should be considered with more weight in the diagnosis of MDS.
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Affiliation(s)
- Bettina Kárai
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Zsófia Miltényi
- Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Lajos Gergely
- Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Marianna Száraz-Széles
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - János Kappelmayer
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Zsuzsanna Hevessy
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
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22
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Brando B. Issue Highlights-March 2018. CYTOMETRY PART B-CLINICAL CYTOMETRY 2018; 94:208-210. [PMID: 29438583 DOI: 10.1002/cyto.b.21629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Bruno Brando
- Hematology Laboratory and Transfusion Center, Legnano Hospital, Milan, Italy
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