1
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Mincherton TI, Lam SJ, Clarke SE, Hui HYL, Malherbe JAJ, Chuah HS, Sidiqi MH, Fuller KA, Erber WN. Imaging flow cytometric detection of del(17p) in bone marrow and circulating plasma cells in multiple myeloma. Int J Lab Hematol 2024; 46:495-502. [PMID: 38379463 DOI: 10.1111/ijlh.14248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/04/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Detection of del(17p) in myeloma is generally performed by fluorescence in situ hybridization (FISH) on a slide with analysis of up to 200 nuclei. The small cell sample analyzed makes this a low precision test. We report the utility of an automated FISH method, called "immuno-flowFISH", to detect plasma cells with adverse prognostic risk del(17p) in bone marrow and blood samples of patients with myeloma. METHODS Bone marrow (n = 31) and blood (n = 19) samples from 35 patients with myeloma were analyzed using immuno-flowFISH. Plasma cells were identified by CD38/CD138-immunophenotypic gating and assessed for the 17p locus and centromere of chromosome 17. Cells were acquired on an AMNIS ImageStreamX MkII imaging flow cytometer using INSPIRE software. RESULTS Chromosome 17 abnormalities were identified in CD38/CD138-positive cells in bone marrow (6/31) and blood (4/19) samples when the percent plasma cell burden ranged from 0.03% to 100% of cells. Abnormalities could be identified in 14.5%-100% of plasma cells. CONCLUSIONS The "immuno-flowFISH" imaging flow cytometric method could detect del(17p) in plasma cells in both bone marrow and blood samples of myeloma patients. This method was also able to detect gains and losses of chromosome 17, which are also of prognostic significance. The lowest levels of 0.009% (bone marrow) and 0.001% (blood) for chromosome 17 abnormalities was below the detection limit of current FISH method. This method offers potential as a new means of identifying these prognostically important chromosomal defects, even when only rare cells are present and for serial disease monitoring.
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Affiliation(s)
- Thomas I Mincherton
- School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - Stephanie J Lam
- PathWest Laboratory Medicine, Nedlands, Western Australia, Australia
- Haematology Department, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Sarah E Clarke
- School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia
- PathWest Laboratory Medicine, Nedlands, Western Australia, Australia
- Haematology Department, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Henry Y L Hui
- School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - Jacques A J Malherbe
- School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia
- Haematology Department, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Hun S Chuah
- PathWest Laboratory Medicine, Nedlands, Western Australia, Australia
- Haematology Department, Royal Perth Hospital, Perth, Western Australia, Australia
| | - M Hasib Sidiqi
- PathWest Laboratory Medicine, Nedlands, Western Australia, Australia
- Haematology Department, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Kathy A Fuller
- School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - Wendy N Erber
- School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia
- PathWest Laboratory Medicine, Nedlands, Western Australia, Australia
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Rosenberg CA, Rodrigues MA, Bill M, Ludvigsen M. Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data. Sci Rep 2024; 14:9349. [PMID: 38654058 DOI: 10.1038/s41598-024-59875-x] [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: 12/09/2023] [Accepted: 04/16/2024] [Indexed: 04/25/2024] Open
Abstract
Myelodysplastic syndrome is primarily characterized by dysplasia in the bone marrow (BM), presenting a challenge in consistent morphology interpretation. Accurate diagnosis through traditional slide-based analysis is difficult, necessitating a standardized objective technique. Over the past two decades, imaging flow cytometry (IFC) has proven effective in combining image-based morphometric analyses with high-parameter phenotyping. We have previously demonstrated the effectiveness of combining IFC with a feature-based machine learning algorithm to accurately identify and quantify rare binucleated erythroblasts (BNEs) in dyserythropoietic BM cells. However, a feature-based workflow poses challenges requiring software-specific expertise. Here we employ a Convolutional Neural Network (CNN) algorithm for BNE identification and differentiation from doublets and cells with irregular nuclear morphology in IFC data. We demonstrate that this simplified AI workflow, coupled with a powerful CNN algorithm, achieves comparable BNE quantification accuracy to manual and feature-based analysis with substantial time savings, eliminating workflow complexity. This streamlined approach holds significant clinical value, enhancing IFC accessibility for routine diagnostic purposes.
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Affiliation(s)
- Carina A Rosenberg
- Department of Hematology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 35, C115, 8200, Aarhus C, Denmark.
| | - Matthew A Rodrigues
- Amnis Flow Cytometry, Cytek Biosciences, Seattle, WA, USA
- RareCyte, Inc., Seattle, WA, USA
| | - Marie Bill
- Department of Hematology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 35, C115, 8200, Aarhus C, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Maja Ludvigsen
- Department of Hematology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 35, C115, 8200, Aarhus C, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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3
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Clarke SE, Fuller KA, Erber WN. Chromosomal defects in multiple myeloma. Blood Rev 2024; 64:101168. [PMID: 38212176 DOI: 10.1016/j.blre.2024.101168] [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: 10/06/2023] [Revised: 12/01/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024]
Abstract
Multiple myeloma is a plasma cell neoplasm driven by primary (e.g. hyperdiploidy; IGH translocations) and secondary (e.g. 1q21 gains/amplifications; del(17p); MYC translocations) chromosomal events. These are important to detect as they influence prognosis, therapeutic response and disease survival. Currently, cytogenetic testing is most commonly performed by interphase fluorescence in situ hybridisation (FISH) on aspirated bone marrow samples. A number of variations to FISH methodology are available, including prior plasma cell enrichment and incorporation of immunophenotypic plasma cell identification. Other molecular methods are increasingly being utilised to provide a genome-wide view at high resolution (e.g. single nucleotide polymorphism (SNP) microarray analysis) and these can detect abnormalities in most cases. Despite their wide application at diagnostic assessment, both FISH and SNP-array have relatively low sensitivity, limiting their use for identification of prognostically significant low-level sub-clones or for disease monitoring. Next-generation sequencing is increasingly being used to detect mutations and new FISH techniques such as by flow cytometry are in development and may address some of the current test limitations. Here we review the primary and secondary cytogenetic aberrations in myeloma and discuss the range of techniques available for their assessment.
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Affiliation(s)
- Sarah E Clarke
- School of Biomedical Sciences, The University of Western Australia (M504), Crawley, WA 6009, Australia; Department of Haematology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA 6150, Australia.
| | - Kathryn A Fuller
- School of Biomedical Sciences, The University of Western Australia (M504), Crawley, WA 6009, Australia.
| | - Wendy N Erber
- School of Biomedical Sciences, The University of Western Australia (M504), Crawley, WA 6009, Australia; PathWest Laboratory Medicine WA, Royal Perth Hospital, Perth, WA 6000, Australia.
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4
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Lynch A, Bradford S, Burkard ME. The reckoning of chromosomal instability: past, present, future. Chromosome Res 2024; 32:2. [PMID: 38367036 DOI: 10.1007/s10577-024-09746-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 01/11/2024] [Accepted: 01/27/2024] [Indexed: 02/19/2024]
Abstract
Quantitative measures of CIN are crucial to our understanding of its role in cancer. Technological advances have changed the way CIN is quantified, offering increased accuracy and insight. Here, we review measures of CIN through its rise as a field, discuss considerations for its measurement, and look forward to future quantification of CIN.
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Affiliation(s)
- Andrew Lynch
- UW Carbone Cancer Center, University of Wisconsin, Madison, WI, USA
- McArdle Laboratory for Cancer Research, University of Wisconsin, Madison, WI, USA
- Division of Hematology/Oncology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Shermineh Bradford
- UW Carbone Cancer Center, University of Wisconsin, Madison, WI, USA
- McArdle Laboratory for Cancer Research, University of Wisconsin, Madison, WI, USA
- Division of Hematology/Oncology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Mark E Burkard
- UW Carbone Cancer Center, University of Wisconsin, Madison, WI, USA.
- McArdle Laboratory for Cancer Research, University of Wisconsin, Madison, WI, USA.
- Division of Hematology/Oncology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
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5
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Hui H, Fuller KA, Eresta Jaya L, Konishi Y, Ng TF, Frodsham R, Speight G, Yamada K, Clarke SE, Erber WN. IGH cytogenetic abnormalities can be detected in multiple myeloma by imaging flow cytometry. J Clin Pathol 2023; 76:763-769. [PMID: 36113967 DOI: 10.1136/jcp-2022-208230] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 08/12/2022] [Indexed: 11/04/2022]
Abstract
AIMS Cytogenetic abnormalities involving the IGH gene are seen in up to 55% of patients with multiple myeloma. Current testing is performed manually by fluorescence in situ hybridisation (FISH) on purified plasma cells. We aimed to assess whether an automated imaging flow cytometric method that uses immunophenotypic cell identification, and does not require cell isolation, can identify IGH abnormalities. METHODS Aspirated bone marrow from 10 patients with multiple myeloma were studied. Plasma cells were identified by CD38 and CD138 coexpression and assessed with FISH probes for numerical or structural abnormalities of IGH. Thousands of cells were acquired on an imaging flow cytometer and numerical data and digital images were analysed. RESULTS Up to 30 000 cells were acquired and IGH chromosomal abnormalities were detected in 5 of the 10 marrow samples. FISH signal patterns seen included fused IGH signals for IGH/FGFR3 and IGH/MYEOV, indicating t(4;14) and t(11;14), respectively. In addition, three IGH signals were identified, indicating trisomy 14 or translocation with an alternate chromosome. The lowest limit of detection of an IGH abnormality was in 0.05% of all cells. CONCLUSIONS This automated high-throughput immuno-flowFISH method was able to identify translocations and trisomy involving the IGH gene in plasma cells in multiple myeloma. Thousands of cells were analysed and without prior cell isolation. The inclusion of positive plasma cell identification based on immunophenotype led to a lowest detection level of 0.05% marrow cells. This imaging flow cytometric FISH method offers the prospect of increased precision of detection of critical genetic lesions involving IGH and other chromosomal defects in multiple myeloma.
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Affiliation(s)
- Henry Hui
- School of Biomedical Sciences, The University of Western Australia, WA Australia
| | - Kathy A Fuller
- School of Biomedical Sciences, The University of Western Australia, WA Australia
| | | | | | - Teng Fong Ng
- School of Biomedical Sciences, The University of Western Australia, WA Australia
| | | | | | | | - Sarah E Clarke
- School of Biomedical Sciences, The University of Western Australia, WA Australia
- PathWest Laboratory Medicine, Nedlands, WA, Australia
| | - Wendy N Erber
- School of Biomedical Sciences, The University of Western Australia, WA Australia
- PathWest Laboratory Medicine, Nedlands, WA, Australia
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6
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Erber WN, Hui HYL, Mincherton TI, Harms M, Clarke S, Fuller KA. Enhanced multi-FISH analysis of immunophenotyped plasma cells by imaging flow cytometry. J Hum Genet 2023:10.1038/s10038-023-01155-z. [PMID: 37161034 DOI: 10.1038/s10038-023-01155-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/20/2023] [Accepted: 04/21/2023] [Indexed: 05/11/2023]
Affiliation(s)
- Wendy N Erber
- School of Biomedical Sciences, The University of Western Australia, Crawley, WA, Australia.
- PathWest Laboratory Medicine, Nedlands, WA, Australia.
| | - Henry Y L Hui
- School of Biomedical Sciences, The University of Western Australia, Crawley, WA, Australia
| | - Thomas I Mincherton
- School of Biomedical Sciences, The University of Western Australia, Crawley, WA, Australia
| | - Matthew Harms
- School of Biomedical Sciences, The University of Western Australia, Crawley, WA, Australia
- Medical School, The University of Western Australia, Crawley, WA, Australia
| | - Sarah Clarke
- School of Biomedical Sciences, The University of Western Australia, Crawley, WA, Australia
| | - Kathy A Fuller
- School of Biomedical Sciences, The University of Western Australia, Crawley, WA, Australia
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7
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Hui HYL, Erber WN, Fuller KA. "Immuno-FlowFISH": Applications for Chronic Lymphocytic Leukemia. Methods Mol Biol 2023; 2635:149-171. [PMID: 37074662 DOI: 10.1007/978-1-0716-3020-4_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2023]
Abstract
Imaging flow cytometry has the capacity to bridge the gap that currently exists between the diagnostic tests that detect important phenotypic and genetic changes in the clinical assessment of leukemia and other hematological malignancies or blood-based disorders. We have developed an "Immuno-flowFISH" method that leverages the quantitative and multi-parametric power of imaging flow cytometry to push the limits of single-cell analysis. Immuno-flowFISH has been fully optimized to detect clinically significant numerical and structural chromosomal abnormalities (i.e., trisomy 12 and del(17p)) within clonal CD19/CD5+ CD3- Chronic Lymphocytic Leukemia (CLL) cells in a single test. This integrated methodology has greater accuracy and precision than standard fluorescence in situ hybridization (FISH). We have detailed this immuno-flowFISH application with a carefully catalogued workflow, technical instructions, and a repertoire of quality control considerations to supplement the analysis of CLL. This next-generation imaging flow cytometry protocol may provide unique advancements and opportunities in the holistic cellular assessment of disease for both research and clinical laboratory settings.
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Affiliation(s)
- Henry Y L Hui
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, WA, Australia
| | - Wendy N Erber
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, WA, Australia
- PathWest Laboratory Medicine, Nedlands, WA, Australia
| | - Kathy A Fuller
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, WA, Australia.
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8
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Garcés JJ, San-Miguel J, Paiva B. Biological Characterization and Clinical Relevance of Circulating Tumor Cells: Opening the Pandora's Box of Multiple Myeloma. Cancers (Basel) 2022; 14:cancers14061430. [PMID: 35326579 PMCID: PMC8946760 DOI: 10.3390/cancers14061430] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 02/28/2022] [Accepted: 03/09/2022] [Indexed: 01/27/2023] Open
Abstract
Simple Summary Bone marrow (BM) aspirates are mandatory for diagnosis and follow-up of patients with multiple myeloma (MM). However, they present two important caveats: Their invasiveness and limited scope to capture the broad tumor heterogeneity. Conversely, circulating tumor cells (CTCs) are detectable in the peripheral blood of patients with precursor and malignant disease states and have strong prognostic value. Moreover, the high genetic and transcriptomic overlap between both plasma cell compartments suggests that CTCs might reflect with notable precision the medullar clone. Furthermore, the study of CTCs could be used as a model to identify mechanisms favoring BM egression and disease spreading. Here, we summarize the state of the art on MM CTCs and provide insights on what they may offer in research and clinical scenarios. Abstract Bone marrow (BM) aspirates are the gold standard for patient prognostication and genetic characterization in multiple myeloma (MM). However, they represent an important limitation for periodic disease monitoring because they entail an aggressive procedure. Moreover, recent findings show that a single BM aspirate is unable to reflect the complex MM heterogeneity. Recent advances in flow cytometry, microfluidics, and “omics” technologies have opened Pandora’s box of MM: The detection and isolation of circulating tumor cells (CTCs) offer a promising and minimally invasive alternative for tumor assessment and metastasis study. CTCs are detectable in premalignant and active MM states, and their enumeration has strong prognostic value, to the extent that it is challenging current stratification systems. In addition, CTCs reflect with high precision both intra- and extra-medullary disease at the phenotypic, genomic, and transcriptomic levels. Despite this high resemblance between tumor clones in distinct locations, some subtle (not random) differences might shed some light on the metastatic process. Thus, it has been suggested that a hypoxic and pro-inflammatory microenvironment could induce an arrest in proliferation forcing tumor cells to recirculate. Herein, we summarize data on the characterization of MM CTCs as well as their clinical and research potential.
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9
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Rosenberg CA, Bill M, Maguire O, Petersen MA, Kjeldsen E, Hokland P, Ludvigsen M. Imaging flow cytometry reveals a subset of TdT negative T-ALL blasts with very low forward scatter on conventional flow cytometry. CYTOMETRY PART B-CLINICAL CYTOMETRY 2021; 102:107-114. [PMID: 34648681 DOI: 10.1002/cyto.b.22035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 09/07/2021] [Accepted: 09/17/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Studies in T-cell acute lymphoblastic leukemia (T-ALL) have shown that leukemic blast populations may display immunophenotypic heterogeneity. In the clinical setting, evaluation of measurable residual disease during treatment and follow-up is highly dependent on knowledge of the diversity of blast subsets. Here, we set out to evaluate whether variation in expression of the blast marker, TdT, in T-ALL blasts could correspond to differences in morphometric features. METHODS We investigated diagnostic bone marrow samples from six individual T-ALL patients run in parallel on imaging flow cytometry (IFC) and conventional flow cytometry (CFC). RESULTS Guided by the imagery available in IFC, we identified distinct TdTneg and TdTpos subpopulations with apparent differences in internal complexity. As TdTneg blasts predominantly displayed very low forward scatter (FSC) on CFC, these subsets were initially excluded from routine analysis as debris, elements of small diameter, apoptotic, and/or dead cells. However, IFC-based morphometric analyses demonstrated that cell size and shape of TdTneg blasts were comparable to the TdTpos cells and without morphometric apoptotic hallmarks, supporting that the TdTneg subpopulation corresponded to T-ALL blasts. Fluorescence in situ hybridization analyses substantiated the clinical relevance of TdTneg FSCvery-low cells by retrieving known diagnostic cytogenetic abnormalities at comparable frequencies in purified TdTneg FSCvery-low and TdTpos FSCint subsets. CONCLUSION We highlight this finding as knowledge of phenotypic heterogeneity is of crucial importance in the clinical setting for delineation and quantification of blast subpopulations of potential biological relevance. We argue that the IFC imagery may allow for visual verification and improvement of applied gating strategies.
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Affiliation(s)
| | - Marie Bill
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Orla Maguire
- Flow and Image Cytometry Shared Resource, Roswell Park Cancer Comprehensive Cancer Center, Buffalo, New York, USA
| | - Marianne A Petersen
- Pediatrics and Adolescent Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Eigil Kjeldsen
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Peter Hokland
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Maja Ludvigsen
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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10
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Hui HYL, Stanley J, Clarke K, Erber WN, Fuller KA. Multi-probe FISH Analysis of Immunophenotyped Chronic Lymphocytic Leukemia by Imaging Flow Cytometry. Curr Protoc 2021; 1:e260. [PMID: 34610214 DOI: 10.1002/cpz1.260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Imaging flow cytometry is an automated method that enables cells and fluorescent signals to be visualized and quantified. Here, we describe a new imaging flow cytometry method whereby fluorescence in situ hybridization (FISH) is integrated with cell phenotyping. The method, called "immuno-flowFISH," provides an exciting new dimension for the analysis of genomic changes in cytological samples (e.g., blood, bone marrow). Cells are analyzed in suspension without any requirement for prior cell isolation or separation. Multiple antibodies and FISH probes, each with a unique fluorophore, can be added and many thousands of cells analyzed. Specific cell populations are identified by their antigenic profile and then analyzed for the presence of chromosomal defects. Immuno-flowFISH was applied to the assessment of chronic lymphocytic leukemia (CLL), a mature B-cell neoplasm where chromosomal abnormalities predict prognosis and treatment requirements. This integrated immunophenotyping and multi-probe FISH strategy could detect both structural and numerical chromosomal changes involving chromosomes 12 and 17 in CLL cells. Given that many thousands of cells were analyzed and the leukemic cells were positively identified by their immunophenotype, this multi-probe method adds precision to the cytogenomic analysis of CLL. © 2021 Wiley Periodicals LLC.
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Affiliation(s)
- Henry Y L Hui
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, Western Australia, Australia
| | - Jason Stanley
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, Western Australia, Australia
| | - Kathryn Clarke
- Department of Haematology, Belfast City Hospital, Belfast, Northern Ireland, United Kingdom
| | - Wendy N Erber
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, Western Australia, Australia.,PathWest Laboratory Medicine, Nedlands, Western Australia, Australia
| | - Kathryn A Fuller
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, Western Australia, Australia
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11
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RoŽanc J, Finšgar M, Maver U. Progressive use of multispectral imaging flow cytometry in various research areas. Analyst 2021; 146:4985-5007. [PMID: 34337638 DOI: 10.1039/d1an00788b] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Multi-spectral imaging flow cytometry (MIFC) has become one of the most powerful technologies for investigating general analytics, molecular and cell biology, biotechnology, medicine, and related fields. It combines the capabilities of the morphometric and photometric analysis of single cells and micrometer-sized particles in flux with regard to thousands of events. It has become the tool of choice for a wide range of research and clinical applications. By combining the features of flow cytometry and fluorescence microscopy, it offers researchers the ability to couple the spatial resolution of multicolour images of cells and organelles with the simultaneous analysis of a large number of events in a single system. This provides the opportunity to visually confirm findings and collect novel data that would otherwise be more difficult to obtain. This has led many researchers to design innovative assays to gain new insight into important research questions. To date, it has been successfully used to study cell morphology, surface and nuclear protein co-localization, protein-protein interactions, cell signaling, cell cycle, cell death, and cytotoxicity, intracellular calcium, drug uptake, pathogen internalization, and other applications. Herein we describe some of the recent advances in the field of multiparametric imaging flow cytometry methods in various research areas.
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Affiliation(s)
- Jan RoŽanc
- University of Maribor, Faculty of Medicine, Institute of Biomedical Sciences, Taborska ulica 8, SI-2000 Maribor, Slovenia.
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12
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Stanley J, Hui H, Erber W, Clynick B, Fuller K. Analysis of human chromosomes by imaging flow cytometry. CYTOMETRY PART B-CLINICAL CYTOMETRY 2021; 100:541-553. [PMID: 34033226 DOI: 10.1002/cyto.b.22023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 04/18/2021] [Accepted: 05/14/2021] [Indexed: 12/29/2022]
Abstract
Chromosomal analysis is traditionally performed by karyotyping on metaphase spreads, or by fluorescent in situ hybridization (FISH) on interphase cells or metaphase spreads. Flow cytometry was introduced as a new method to analyze chromosomes number (ploidy) and structure (telomere length) in the 1970s with data interpretation largely based on fluorescence intensity. This technology has had little uptake for human cytogenetic applications primarily due to analytical challenges. The introduction of imaging flow cytometry, with the addition of digital images to standard multi-parametric flow cytometry quantitative tools, has added a new dimension. The ability to visualize the chromosomes and FISH signals overcomes the inherent difficulties when the data is restricted to fluorescence intensity. This field is now moving forward with methods being developed to assess chromosome number and structure in whole cells (normal and malignant) in suspension. A recent advance has been the inclusion of immunophenotyping such that antigen expression can be used to identify specific cells of interest for specific chromosomes and their abnormalities. This capability has been illustrated in blood cancers, such as chronic lymphocytic leukemia and plasma cell myeloma. The high sensitivity and specificity achievable highlights the potential imaging flow cytometry has for cytogenomic applications (i.e., diagnosis and disease monitoring). This review introduces and describes the development, current status, and applications of imaging flow cytometry for chromosomal analysis of human chromosomes.
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Affiliation(s)
- Jason Stanley
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - Henry Hui
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - Wendy Erber
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia.,PathWest Laboratory Medicine, Nedlands, Western Australia, Australia
| | - Britt Clynick
- Institute for Respiratory Health, Harry Perkins Institute of Medical Research, Nedlands, Western Australia, Australia
| | - Kathy Fuller
- Translational Cancer Pathology Laboratory, School of Biomedical Sciences, The University of Western Australia, Crawley, Western Australia, Australia
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13
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Rosenberg CA, Bill M, Rodrigues MA, Hauerslev M, Kerndrup GB, Hokland P, Ludvigsen M. Exploring dyserythropoiesis in patients with myelodysplastic syndrome by imaging flow cytometry and machine-learning assisted morphometrics. CYTOMETRY PART B-CLINICAL CYTOMETRY 2020; 100:554-567. [PMID: 33285035 DOI: 10.1002/cyto.b.21975] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 10/19/2020] [Accepted: 11/19/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND The hallmark of myelodysplastic syndrome (MDS) remains dysplasia in the bone marrow (BM). However, diagnosing MDS may be challenging and subject to inter-observer variability. Thus, there is an unmet need for novel objective, standardized and reproducible methods for evaluating dysplasia. Imaging flow cytometry (IFC) offers combined analyses of phenotypic and image-based morphometric parameters, for example, cell size and nuclearity. Hence, we hypothesized IFC to be a useful tool in MDS diagnostics. METHODS Using a different-from-normal approach, we investigated dyserythropoiesis by quantifying morphometric features in a median of 5953 erythroblasts (range: 489-68,503) from 14 MDS patients, 11 healthy donors, 6 non-MDS controls with increased erythropoiesis, and 6 patients with cytopenia. RESULTS First, we morphometrically confirmed normal erythroid maturation, as immunophenotypically defined erythroid precursors could be sequenced by significantly decreasing cell-, nuclear- and cytoplasm area. In MDS samples, we demonstrated cell size enlargement and increased fractions of macronormoblasts in late-stage erythroblasts (both p < .0001). Interestingly, cytopenic controls with high-risk mutational patterns displayed highly aberrant cell size morphometrics. Furthermore, assisted by machine learning algorithms, we reliably identified and enumerated true binucleated erythroblasts at a significantly higher frequency in two out of three erythroblast maturation stages in MDS patients compared to normal BM (both p = .0001). CONCLUSION We demonstrate proof-of-concept results of the applicability of automated IFC-based techniques to study and quantify morphometric changes in dyserythropoietic BM cells. We propose that IFC holds great promise as a powerful and objective tool in the complex setting of MDS diagnostics with the potential for minimizing inter-observer variability.
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Affiliation(s)
| | - Marie Bill
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Mathias Hauerslev
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Gitte B Kerndrup
- Department of Pathology, Aarhus University Hospital, Aarhus, Denmark
| | - Peter Hokland
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Maja Ludvigsen
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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14
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Mansour A, Roussel M, Gaussem P, Nédelec-Gac F, Pontis A, Flécher E, Bachelot-Loza C, Gouin-Thibault I. Platelet Functions During Extracorporeal Membrane Oxygenation. Platelet-Leukocyte Aggregates Analyzed by Flow Cytometry as a Promising Tool to Monitor Platelet Activation. J Clin Med 2020; 9:jcm9082361. [PMID: 32718096 PMCID: PMC7464627 DOI: 10.3390/jcm9082361] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 07/17/2020] [Accepted: 07/21/2020] [Indexed: 02/07/2023] Open
Abstract
Extracorporeal membrane oxygenation (ECMO) is an extracorporeal circulation used to manage patients with severe circulatory or respiratory failure. It is associated with both high bleeding and thrombosis risks, mainly as a result of biomaterial/blood interface phenomena, high shear stress, and complex inflammatory response involving the activation of coagulation and complement systems, endothelial cells, leukocytes, and platelets. Besides their critical role in hemostasis, platelets are important players in inflammatory reactions, especially due to their ability to bind and activate leukocytes. Hence, we reviewed studies on platelet function of ECMO patients. Moreover, we addressed the issue of platelet–leukocyte aggregates (PLAs), which is a key step in both platelet and leukocyte activation, and deserves to be investigated in these patients. A reduced expression of GPIb and GPVI was found under ECMO therapy, due to the shedding processes. However, defective platelet aggregation is inconsistently reported and is still not clearly defined. Due to the high susceptibility of PLAs to pre-analytical conditions, defining and strictly adhering to a rigorous laboratory methodology is essential for reliable and reproducible results, especially in the setting of complex inflammatory situations like ECMO. We provide results on sample preparation and flow cytometric whole blood evaluation of circulating PLAs.
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Affiliation(s)
- Alexandre Mansour
- Department of Anesthesiology Critical Care Medicine and Perioperative Medicine, Rennes University Hospital, F-35000 Rennes, France;
- Rennes University Hospital, INSERM-CIC 1414, F-35000 Rennes, France
- Innovative Therapies in Haemostasis, Paris University, INSERM U1140, F-75006 Paris, France; (P.G.); (C.B.-L.)
| | - Mikael Roussel
- Department of Biological Hematology, Rennes University Hospital, F-35000 Rennes, France; (M.R.); (F.N.-G.); (A.P.)
- Microenvironment, Cell Differentiation, Immunology and Cancer, Rennes University, INSERM U1236, F-35000 Rennes, France
- Cytometrie Hematologique Francophone Association (CytHem), F-75013 Paris, France
| | - Pascale Gaussem
- Innovative Therapies in Haemostasis, Paris University, INSERM U1140, F-75006 Paris, France; (P.G.); (C.B.-L.)
- Department of Biological Hematology, AH-HP, Georges Pompidou European University Hospital, F-75015 Paris, France
| | - Fabienne Nédelec-Gac
- Department of Biological Hematology, Rennes University Hospital, F-35000 Rennes, France; (M.R.); (F.N.-G.); (A.P.)
| | - Adeline Pontis
- Department of Biological Hematology, Rennes University Hospital, F-35000 Rennes, France; (M.R.); (F.N.-G.); (A.P.)
| | - Erwan Flécher
- Cardio-Thoracic Surgery, Rennes University Hospital, INSERM U1099, F-35000 Rennes, France;
| | - Christilla Bachelot-Loza
- Innovative Therapies in Haemostasis, Paris University, INSERM U1140, F-75006 Paris, France; (P.G.); (C.B.-L.)
| | - Isabelle Gouin-Thibault
- Rennes University Hospital, INSERM-CIC 1414, F-35000 Rennes, France
- Department of Biological Hematology, Rennes University Hospital, F-35000 Rennes, France; (M.R.); (F.N.-G.); (A.P.)
- Correspondence:
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15
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Hui HY, Clarke KM, Fuller KA, Stanley J, Chuah HH, Ng TF, Cheah C, McQuillan A, Erber WN. “Immuno‐flowFISH” for the Assessment of Cytogenetic Abnormalities in Chronic Lymphocytic Leukemia. Cytometry A 2019; 95:521-533. [DOI: 10.1002/cyto.a.23769] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 03/27/2019] [Accepted: 04/01/2019] [Indexed: 12/24/2022]
Affiliation(s)
- Henry Y.L. Hui
- Translational Cancer Pathology LaboratorySchool of Biomedical Sciences, The University of Western Australia Crawley Western Australia Australia
| | - Kathryn M. Clarke
- Haemato‐Oncology Diagnostic Service, Department of HaematologyAddenbrooke's Hospital, Cambridge University Hospital, NHS Foundation Trust Cambridge UK
| | - Kathryn A. Fuller
- Translational Cancer Pathology LaboratorySchool of Biomedical Sciences, The University of Western Australia Crawley Western Australia Australia
- PathWest Laboratory Medicine Nedlands Western Australia Australia
| | - Jason Stanley
- Translational Cancer Pathology LaboratorySchool of Biomedical Sciences, The University of Western Australia Crawley Western Australia Australia
| | - Hun H. Chuah
- Department of HaematologyRoyal Perth Hospital Perth Western Australia Australia
| | - Teng Fong Ng
- Department of HaematologyRoyal Perth Hospital Perth Western Australia Australia
| | - Chan Cheah
- Department of HaematologySir Charles Gairdner Hospital Nedlands Western Australia Australia
- Department of HaematologyHollywood Private Hospital Nedlands Western Australia Australia
| | - Andrew McQuillan
- Department of HaematologyHollywood Private Hospital Nedlands Western Australia Australia
| | - Wendy N. Erber
- Translational Cancer Pathology LaboratorySchool of Biomedical Sciences, The University of Western Australia Crawley Western Australia Australia
- PathWest Laboratory Medicine Nedlands Western Australia Australia
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16
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Minderman H. Simultaneous Analysis of Phenotype and Cytogenetics Using Imaging Flow Cytometry: Time to Teach Old Dogs New Tricks. Cytometry A 2019; 95:943-945. [PMID: 31006975 DOI: 10.1002/cyto.a.23776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 04/05/2019] [Indexed: 11/08/2022]
Affiliation(s)
- Hans Minderman
- Flow and Image Cytometry, Roswell Park Comprehensive Cancer Center, Buffalo, New York, 14263
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17
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Tomuleasa C, Selicean C, Cismas S, Jurj A, Marian M, Dima D, Pasca S, Petrushev B, Moisoiu V, Micu WT, Vischer A, Arifeen K, Selicean S, Zdrenghea M, Bumbea H, Tanase A, Grewal R, Pop L, Aanei C, Berindan-Neagoe I. Minimal residual disease in chronic lymphocytic leukemia: A consensus paper that presents the clinical impact of the presently available laboratory approaches. Crit Rev Clin Lab Sci 2018; 55:329-345. [PMID: 29801428 DOI: 10.1080/10408363.2018.1463508] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Chronic lymphocytic leukemia (CLL) is a malignancy defined by the accumulation of mature lymphocytes in the lymphoid tissues, bone marrow, and blood. Therapy for CLL is guided according to the Rai and Binet staging systems. Nevertheless, state-of-the-art protocols in disease monitoring, diagnostics, and prognostics for CLL are based on the assessment of minimal residual disease (MRD). MRD is internationally considered to be the level of disease that can be detected by sensitive techniques and represents incomplete treatment and a probability of disease relapse. MRD detection has been continuously improved by the quick development of both flow cytometry and molecular biology technology, as well as by next-generation sequencing. Considering that MRD detection is moving more and more from research to clinical practice, where it can be an independent prognostic marker, in this paper, we present the methodologies by which MRD is evaluated, from translational research to clinical practice.
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Affiliation(s)
- Ciprian Tomuleasa
- a Department of Hematology , Ion Chiricuta Clinical Cancer Center , Cluj Napoca , Romania.,b Research Center for Functional Genomics and Translational Medicine/Hematology , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Cristina Selicean
- a Department of Hematology , Ion Chiricuta Clinical Cancer Center , Cluj Napoca , Romania
| | - Sonia Cismas
- c Department of Genetics , Victor Babes University of Medicine and Pharmacy , Timisoara , Romania.,d Department of Hematology , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Anca Jurj
- e Research Center for Functional Genomics and Translational Medicine , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Mirela Marian
- a Department of Hematology , Ion Chiricuta Clinical Cancer Center , Cluj Napoca , Romania
| | - Delia Dima
- a Department of Hematology , Ion Chiricuta Clinical Cancer Center , Cluj Napoca , Romania
| | - Sergiu Pasca
- e Research Center for Functional Genomics and Translational Medicine , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Bobe Petrushev
- e Research Center for Functional Genomics and Translational Medicine , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Vlad Moisoiu
- e Research Center for Functional Genomics and Translational Medicine , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Wilhelm-Thomas Micu
- e Research Center for Functional Genomics and Translational Medicine , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Anna Vischer
- d Department of Hematology , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Kanza Arifeen
- d Department of Hematology , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Sonia Selicean
- d Department of Hematology , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Mihnea Zdrenghea
- a Department of Hematology , Ion Chiricuta Clinical Cancer Center , Cluj Napoca , Romania.,d Department of Hematology , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Horia Bumbea
- f Department of Hematology , Carol Davila University of Medicine and Pharmacy , Bucharest , Romania.,g Department of Hematology , University Clinical Hospital , Bucharest , Romania
| | - Alina Tanase
- h Department of Stem Cell Transplantation , Fundeni Clinical Institute , Bucharest , Romania
| | - Ravnit Grewal
- i South African Medical Research Council Bioinformatics Unit , The South African National Bioinformatics Institute (SANBI), University of the Western Cape , Bellville , South Africa
| | - Laura Pop
- e Research Center for Functional Genomics and Translational Medicine , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
| | - Carmen Aanei
- j Hematology Laboratory, Pole de Biologie-Pathologie , University Hospital of St. Etienne , St. Etienne , France
| | - Ioana Berindan-Neagoe
- e Research Center for Functional Genomics and Translational Medicine , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj Napoca , Romania
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18
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McFarlin BK, Bowman EM. Advanced flow cytometry techniques for clinical detection. Methods 2018; 134-135:1-2. [DOI: 10.1016/j.ymeth.2018.01.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
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