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Tettero JM, Dakappagari N, Heidinga ME, Oussoren-Brockhoff Y, Hanekamp D, Pahuja A, Burns K, Kaur P, Alfonso Z, van der Velden VHJ, Te Marvelde JG, Hobo W, Slomp J, Bachas C, Kelder A, Nguyen K, Cloos J. Analytical assay validation for acute myeloid leukemia measurable residual disease assessment by multiparametric flow cytometry. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2023; 104:426-439. [PMID: 37766649 DOI: 10.1002/cyto.b.22144] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 08/30/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Measurable residual disease (MRD) assessed by multiparametric flow cytometry (MFC) has gained importance in clinical decision-making for acute myeloid leukemia (AML) patients. However, complying with the recent In Vitro Diagnostic Regulations (IVDR) in Europe and Food and Drug Administration (FDA) guidance in the United States requires rigorous validation prior to their use in investigational clinical trials and diagnostics. Validating AML MRD-MFC assays poses challenges due to the unique underlying disease biology and paucity of patient specimens. In this study, we describe an experimental framework for validation that meets regulatory expectations. METHODS Our validation efforts focused on evaluating assay accuracy, analytical specificity, analytical and functional sensitivity (limit of blank (LoB), detection (LLoD) and quantitation (LLoQ)), precision, linearity, sample/reagent stability and establishing the assay background frequencies. RESULTS Correlation between different MFC methods was highly significant (r = 0.99 for %blasts and r = 0.93 for %LAIPs). The analysis of LAIP specificity accurately discriminated from negative control cells. The assay demonstrated a LoB of 0.03, LLoD of 0.04, and LLoQ of 0.1%. Precision experiments yielded highly reproducible results (Coefficient of Variation <20%). Stability experiments demonstrated reliable measurement of samples up to 96 h from collection. Furthermore, the reference range of LAIP frequencies in non-AML patients was below 0.1%, ranging from 0.0% to 0.04%. CONCLUSION In this manuscript, we present the validation of an AML MFC-MRD assay using BM/PB patient specimens, adhering to best practices. Our approach is expected to assist other laboratories in expediting their validation activities to fulfill recent health authority guidelines.
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Affiliation(s)
- Jesse M Tettero
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | | | - Maaike E Heidinga
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Yvonne Oussoren-Brockhoff
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Diana Hanekamp
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Hematology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Anil Pahuja
- Navigate BioPharma (a Novartis Subsidiary), Carlsbad, California, USA
| | - Kerri Burns
- Navigate BioPharma (a Novartis Subsidiary), Carlsbad, California, USA
| | - Pavinder Kaur
- Navigate BioPharma (a Novartis Subsidiary), Carlsbad, California, USA
| | - Zeni Alfonso
- Navigate BioPharma (a Novartis Subsidiary), Carlsbad, California, USA
| | | | - Jeroen G Te Marvelde
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Willemijn Hobo
- Department of Laboratory Medicine-Laboratory of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jennichjen Slomp
- Department of Clinical Chemistry, Medisch Spectrum Twente/Medlon, Enschede, The Netherlands
| | - Costa Bachas
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Angele Kelder
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Kevin Nguyen
- Navigate BioPharma (a Novartis Subsidiary), Carlsbad, California, USA
| | - Jacqueline Cloos
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
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Begue S, Waerlop G, Salaun B, Janssens M, Bellamy D, Cox RJ, Davies R, Gianchecchi E, Medaglini D, Montomoli E, Pettini E, Leroux-Roels G, Clement F, Pagnon A. Harmonization and qualification of intracellular cytokine staining to measure influenza-specific CD4+ T cell immunity within the FLUCOP consortium. Front Immunol 2022; 13:982887. [PMID: 36341380 PMCID: PMC9632653 DOI: 10.3389/fimmu.2022.982887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/21/2022] [Indexed: 11/26/2022] Open
Abstract
Despite the knowledge that cell-mediated immunity (CMI) contributes to the reduction of severe influenza infection, transmission, and disease outcome, the correlates of protection for cell-mediated immunity remain still unclear. Therefore, measuring the magnitude and quality of influenza-specific T cell responses in a harmonized way is of utmost importance to improve characterisation of vaccine-induced immunity across different clinical trials. The present study, conducted as part of the FLUCOP project, describes the development of a consensus protocol for the intracellular cytokine staining (ICS) assay, in order to reduce inter-laboratory variability, and its qualification. In order to develop a consensus protocol, the study was divided into different stages. Firstly, two pilot studies evaluated critical parameters in the analytical (read-outs) and post-analytical (gating strategies and data analysis) methods applied by eight different laboratories within the FLUCOP consortium. The methods were then harmonized by fixing the critical parameters and the subsequent consensus protocol was then qualified by one FLUCOP member. The antigen-specific cell population was defined as polypositive CD4+ T cells (i.e. positive for at least two markers among CD40L/IFNγ/IL2/TNFα), which was shown to be the most sensitive and specific read-out. The qualification of this consensus protocol showed that the quantification of polypositive CD4+ T cells was precise, linear and accurate, and sensitive with a lower limit of quantification of 0.0335% antigen-specific polypositive CD4+ T cells. In conclusion, we provide the description of a harmonized ICS assay, which permits quantitative and qualitative evaluation of influenza vaccine-induced T cell responses. Application of this harmonized assay may allow for future comparisons of T cell responses to different influenza vaccines. It may facilitate future assessments of potential correlates of protection with the promise of application across other pathogens.
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Affiliation(s)
- Sarah Begue
- Research Global Immunology, Sanofi, Marcy L’Etoile, France
| | - Gwenn Waerlop
- Center for Vaccinology (CEVAC), Ghent University and University Hospital, Ghent, Belgium
| | - Bruno Salaun
- GlaxoSmithKline, Clinical Laboratory Sciences, Rixensart, Belgium
| | - Michel Janssens
- GlaxoSmithKline, Clinical Laboratory Sciences, Rixensart, Belgium
| | - Duncan Bellamy
- The Jenner Institute Laboratories, University of Oxford, Oxford, United Kingdom
| | - Rebecca Jane Cox
- Influenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Richard Davies
- Influenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Donata Medaglini
- Laboratory of Molecular Microbiology and Biotechnology (LA.M.M.B.), Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Emanuele Montomoli
- VisMederi, Siena, Italy
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | - Elena Pettini
- Laboratory of Molecular Microbiology and Biotechnology (LA.M.M.B.), Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Geert Leroux-Roels
- Center for Vaccinology (CEVAC), Ghent University and University Hospital, Ghent, Belgium
| | - Frédéric Clement
- Center for Vaccinology (CEVAC), Ghent University and University Hospital, Ghent, Belgium
| | - Anke Pagnon
- Research Global Immunology, Sanofi, Marcy L’Etoile, France
- *Correspondence: Anke Pagnon,
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Newton HS, Dobrovolskaia MA. Immunophenotyping: Analytical approaches and role in preclinical development of nanomedicines. Adv Drug Deliv Rev 2022; 185:114281. [PMID: 35405297 DOI: 10.1016/j.addr.2022.114281] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/18/2022] [Accepted: 04/05/2022] [Indexed: 12/17/2022]
Abstract
Pharmaceutical products can activate immune cells, suppress their function, or change the immune responses to traditional immunologically active agonists such as those present in microbes. Therefore, the assessment of immunostimulation, immunosuppression, and immunomodulation comprises the backbone of immunotoxicity studies of new drug entities. Depending on physicochemical properties (e.g., size, charge, surface functionalities, hydrophobicity), nanoparticles can be immunostimulatory, immunosuppressive, and immunomodulatory. Various methods and experimental frameworks have been established to support preclinical translational studies of nanotechnology-based drug products. Immunophenotyping after the exposure of cells or preclinical animal models to nanoparticles can provide critical information about the changes in both the numbers of immune cells and their activation status. However, this methodology is underutilized in preclinical studies of engineered nanomaterials. Herein, we review current literature about varieties of instrumentation and methods utilized for immunophenotyping, discuss their advantages and limitations, and propose a roadmap for applying immunophenotyping to support preclinical immunological characterization of nanotechnology-based formulations.
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Affiliation(s)
- Hannah S Newton
- Nanotechnology Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick MD, USA
| | - Marina A Dobrovolskaia
- Nanotechnology Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick MD, USA.
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Tzovara I, Papadatou I, Tzanoudaki M, Spoulou V. Development of a novel flow cytometry method for detecting pneumococcal‐specific B cells
1. Cytometry A 2022; 101:588-596. [DOI: 10.1002/cyto.a.24654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 04/16/2022] [Accepted: 05/05/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Irene Tzovara
- Department of Infectious Diseases ‐ Immunobiology and Vaccinology Research Lab “Aghia Sophia” Children's Hospital, 1st Department of Pediatrics ‐ National and Kapodistrian University of Athens Athens Greece
| | - Ioanna Papadatou
- Department of Infectious Diseases ‐ Immunobiology and Vaccinology Research Lab “Aghia Sophia” Children's Hospital, 1st Department of Pediatrics ‐ National and Kapodistrian University of Athens Athens Greece
| | - Marianna Tzanoudaki
- Department of Immunology & Histocompatibility, Specific Reference Centre for Primary Immunodeficiencies‐Paediatric Immunology “Aghia Sophia” Children's Hospital Athens Greece
| | - Vasiliki Spoulou
- Department of Infectious Diseases ‐ Immunobiology and Vaccinology Research Lab “Aghia Sophia” Children's Hospital, 1st Department of Pediatrics ‐ National and Kapodistrian University of Athens Athens Greece
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Patel S, Ramnoruth N, Wehr P, Rossjohn J, Reid HH, Campbell K, Nel HJ, Thomas R. Evaluation of a fit-for-purpose assay to monitor antigen-specific functional CD4+ T-cell subpopulations in rheumatoid arthritis using flow cytometry-based peptide-MHC class-II tetramer staining. Clin Exp Immunol 2022; 207:72-83. [PMID: 35020859 PMCID: PMC8802177 DOI: 10.1093/cei/uxab008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 09/13/2021] [Accepted: 12/01/2021] [Indexed: 12/11/2022] Open
Abstract
Antigen-specific T cells can serve as a response biomarker in non-clinical or clinical immunotherapy studies in autoimmune disease. There are protocols with optimized multimer staining methods to detect peptide (p)MHCII+ CD4+ T cells, and some qualified and validated protocols for pMHCI+ CD8+ T cells. However, no protocol is fully or partially qualified to enumerate and characterize antigen-specific pMHCII+ CD4+ T cells from patient samples. Implementing such an assay requires a desired level of specificity and precision, in terms of assay repeatability and reproducibility. In transgenic type II collagen (CII)-immunized HLA-DR1/DR4 humanized mouse models of collagen-induced arthritis (CIA), CII259-273-specific T cells dominantly expand. Therefore antigen-specific T cells recognizing this epitope presented by rheumatoid arthritis (RA)-associated risk HLA-DR allomorphs are of interest to understand disease progression and responses to immunotherapy in RA patients. Using HLA-DRB1∗04:01 or ∗01:01-collagen type II (CII)259–273 tetramers, we evaluated parameters influencing precision and reproducibility of an optimized flow cytometry–based method for antigen-specific CD4+ T cells and eight specific subpopulations with and without tetramer positivity. We evaluated specificity, precision, and reproducibility for research environments and non-regulated laboratories. The assay has excellent overall precision with %CV<25% for intra-assay repeatability, inter-analyst precision, and inter-assay reproducibility. The precision of the assay correlated negatively with the cell viability after thawing, indicating that post-thaw viability is a critical parameter for reproducibility. This assay is suitable for longitudinal analysis of treatment response and disease activity outcome in RA patients, and adaptable for translational or immunotherapy clinical trial settings.
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Affiliation(s)
- Swati Patel
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Nishta Ramnoruth
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Pascale Wehr
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Jamie Rossjohn
- Infection and Immunity Program and The Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, Monash University, Clayton, VIC, Australia.,Institute of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK
| | - Hugh H Reid
- Infection and Immunity Program and The Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, Monash University, Clayton, VIC, Australia
| | - Kim Campbell
- Janssen Research & Development, LLC, Spring House, PA, USA.,Janssen Research & Development, LLC, La Jolla, CA, USA
| | - Hendrik J Nel
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Ranjeny Thomas
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
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Multicentre Harmonisation of a Six-Colour Flow Cytometry Panel for Naïve/Memory T Cell Immunomonitoring. J Immunol Res 2020; 2020:1938704. [PMID: 32322591 PMCID: PMC7153001 DOI: 10.1155/2020/1938704] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 02/10/2020] [Accepted: 02/26/2020] [Indexed: 01/17/2023] Open
Abstract
Background Personalised medicine in oncology needs standardised immunological assays. Flow cytometry (FCM) methods represent an essential tool for immunomonitoring, and their harmonisation is crucial to obtain comparable data in multicentre clinical trials. The objective of this study was to design a harmonisation workflow able to address the most effective issues contributing to intra- and interoperator variabilities in a multicentre project. Methods The Italian National Institute of Health (Istituto Superiore di Sanità, ISS) managed a multiparametric flow cytometric panel harmonisation among thirteen operators belonging to five clinical and research centres of Lazio region (Italy). The panel was based on a backbone mixture of dried antibodies (anti-CD3, anti-CD4, anti-CD8, anti-CD45RA, and anti-CCR7) to detect naïve/memory T cells, recognised as potential prognostic/predictive immunological biomarkers in cancer immunotherapies. The coordinating centre distributed frozen peripheral blood mononuclear cells (PBMCs) and fresh whole blood (WB) samples from healthy donors, reagents, and Standard Operating Procedures (SOPs) to participants who performed experiments by their own equipment, in order to mimic a real-life scenario. Operators returned raw and locally analysed data to ISS for central analysis and statistical elaboration. Results Harmonised and reproducible results were obtained by sharing experimental set-up and procedures along with centralising data analysis, leading to a reduction of cross-centre variability for naïve/memory subset frequencies particularly in the whole blood setting. Conclusion Our experimental and analytical working process proved to be suitable for the harmonisation of FCM assays in a multicentre setting, where high-quality data are required to evaluate potential immunological markers, which may contribute to select better therapeutic options.
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2019 White Paper on Recent Issues in Bioanalysis: FDA Immunogenicity Guidance, Gene Therapy, Critical Reagents, Biomarkers and Flow Cytometry Validation (Part 3 - Recommendations on 2019 FDA Immunogenicity Guidance, Gene Therapy Bioanalytical Challenges, Strategies for Critical Reagent Management, Biomarker Assay Validation, Flow Cytometry Validation & CLSI H62). Bioanalysis 2019; 11:2207-2244. [PMID: 31820675 DOI: 10.4155/bio-2019-0271] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The 2019 13th Workshop on Recent Issues in Bioanalysis (WRIB) took place in New Orleans, LA, USA on April 1-5, 2019 with an attendance of over 1000 representatives from pharmaceutical/biopharmaceutical companies, biotechnology companies, contract research organizations and regulatory agencies worldwide. WRIB was once again a 5-day, week-long event - a full immersion week of bioanalysis, biomarkers, immunogenicity and gene therapy. As usual, it was specifically designed to facilitate sharing, reviewing, discussing and agreeing on approaches to address the most current issues of interest including both small- and large-molecule bioanalysis involving LCMS, hybrid LBA/LCMS, LBA cell-based/flow cytometry assays and qPCR approaches. This 2019 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop and is aimed to provide the bioanalytical community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. Due to its length, the 2019 edition of this comprehensive White Paper has been divided into three parts for editorial reasons. This publication (Part 3) covers New Insights in Biomarker Assay Validation, Current & Effective Strategies for Critical Reagent Management, Flow Cytometry Validation in Drug Discovery & Development & CLSI H62, Interpretation of the 2019 FDA Immunogenicity Guidance and Gene Therapy Bioanalytical Challenges. Part 1 (Innovation in Small Molecules and Oligonucleotides & Mass Spectrometry Method Development Strategies for Large Molecule Bioanalysis) and Part 2 (Recommendations on the 2018 FDA BMV Guidance, 2019 ICH M10 BMV Draft Guideline and regulatory agencies' input on bioanalysis, biomarkers, immunogenicity and gene therapy) are published in volume 11 of Bioanalysis, issues 22 and 23 (2019), respectively.
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The business of bioanalysis: new technology integration into bioanalytical workflows. Bioanalysis 2018; 10:1775-1779. [PMID: 30347991 DOI: 10.4155/bio-2018-0269] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
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Damjanovic D, He L, Symes J, Gajewska B, Azizi A, Salha D, Ettorre L, Bernardo-Reyes L, Su J, Phogat S, Gisonni-Lex L. In vitro assessment of biological activity and stability of the ALVAC-HIV vaccine. Vaccine 2018; 36:5636-5644. [DOI: 10.1016/j.vaccine.2018.07.034] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 05/30/2018] [Accepted: 07/16/2018] [Indexed: 01/21/2023]
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Abstract
AIM Ki67 is a prognostic and/or predictive biomarker in patients with malignancies. Flow cytometry is a powerful technology for single-cell multiparameter analysis. RESULTS We developed and validated a multicolor quantitative flow cytometry assay for detection of intracellular Ki67 expression in various immune cell subsets from human blood. The assay was optimized and showed excellent precisions. Assessment of the sample stability indicated that percentage changes from the fresh sample for the reportable results of interest were within 20%, up to 72 h after blood collection in the Cyto-Chex® BCT tube. CONCLUSION The validated assay is sufficiently robust to analyze clinical samples. Easy access to peripheral blood enables continuous monitoring of Ki67 expression in blood as a biomarker, for example, for immunotherapy studies.
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Wolniak K, Goolsby C, Choi S, Ali A, Serdy N, Stetler-Stevenson M. Report of the results of the International Clinical Cytometry Society and American Society for Clinical Pathology workload survey of clinical flow cytometry laboratories. CYTOMETRY PART B-CLINICAL CYTOMETRY 2016; 92:525-533. [PMID: 27363814 DOI: 10.1002/cyto.b.21398] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 06/17/2016] [Accepted: 06/29/2016] [Indexed: 12/25/2022]
Abstract
BACKGROUND Thorough review of current workload, staffing, and testing practices in clinical laboratories allows for optimization of laboratory efficiency and quality. This information is largely missing with regard to clinical flow cytometry laboratories. The purpose of this survey is to provide comprehensive, current, and accurate data on testing practices and laboratory staffing in clinical laboratories performing flow cytometric studies. METHODS Survey data was collected from flow cytometry laboratories through the ASCP website. Data was collected on the workload during a 1-year time period of full-time and part-time technical and professional (M.D./D.O./Ph.D. or equivalent) flow cytometry employees. Workload was examined as number of specimens and tubes per full time equivalent (FTE) technical and professional staff. Test complexity, test result interpretation, and reporting practices were also evaluated. RESULTS There were 205 respondent laboratories affiliated predominantly with academic and health system institutions. Overall, 1,132 FTE employees were reported with 29% professional FTE employees and 71% technical. Fifty-one percent of the testing performed was considered high complexity and 49% was low complexity. The average number of tubes per FTE technologist was 1,194 per year and the average number of specimens per FTE professional was 1,659 per year. The flow cytometry reports were predominantly written by pathologists (57%) and were typically written as a separate report (58%). CONCLUSIONS This survey evaluates the overall status of the current practice of clinical flow cytometry and provides a comprehensive dataset as a framework to help laboratory departments, directors, and managers make appropriate, cost-effective staffing decisions. © 2016 International Clinical Cytometry Society.
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Affiliation(s)
- Kristy Wolniak
- Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
| | - Charles Goolsby
- Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
| | - Sarah Choi
- Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
| | - Asma Ali
- Department of Evaluation, Measurement and Assessment, American Society for Clinical Pathology, Chicago, Illinois
| | - Nina Serdy
- Department of Evaluation, Measurement and Assessment, American Society for Clinical Pathology, Chicago, Illinois
| | - Maryalice Stetler-Stevenson
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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Litwin V, Green C, Stewart JJ. Receptor occupancy by flow cytometry. CYTOMETRY PART B-CLINICAL CYTOMETRY 2016; 90:108-9. [DOI: 10.1002/cyto.b.21364] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Virginia Litwin
- Principal Scientist Hematology/Flow Cytometry Covance Central Laboratory Services
| | - Cherie Green
- Scientific Manager-Flow Cytometry Biomarkers Development Sciences Genentech, Inc., A Member of the Roche Group
| | - Jennifer J. Stewart
- Vice President, Flow Cytometry Senior Scientist Flow Contract Site Laboratory
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