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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: 22] [Impact Index Per Article: 11.0] [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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Westers TM, van der Velden VHJ, Alhan C, Bekkema R, Bijkerk A, Brooimans RA, Cali C, Dräger AM, de Haas V, Homburg C, de Jong A, Kuiper-Kramer PEA, Leenders M, Lommerse I, te Marvelde JG, van der Molen-Sinke JK, Moshaver B, Mulder AB, Preijers FWMB, Schindhelm RK, van der Sluijs A, van Wering ER, Westra AH, van de Loosdrecht AA. Implementation of flow cytometry in the diagnostic work-up of myelodysplastic syndromes in a multicenter approach: report from the Dutch Working Party on Flow Cytometry in MDS. Leuk Res 2011; 36:422-30. [PMID: 21982641 DOI: 10.1016/j.leukres.2011.09.015] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2011] [Revised: 09/16/2011] [Accepted: 09/18/2011] [Indexed: 11/27/2022]
Abstract
Flow cytometry (FC) is recognized as an important tool in the diagnosis of myelodysplastic syndromes (MDS) especially when standard criteria fail. A working group within the Dutch Society of Cytometry aimed to implement FC in the diagnostic work-up of MDS. Hereto, guidelines for data acquisition, analysis and interpretation were formulated. Based on discussions on analyses of list mode data files and fresh MDS bone marrow samples and recent literature, the guidelines were modified. Over the years (2005-2011), the concordance between the participating centers increased indicating that the proposed guidelines contributed to a more objective, standardized FC analysis, thereby ratifying the implementation of FC in MDS.
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Affiliation(s)
- Theresia M Westers
- Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands.
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Massoud O, Heimbach J, Viker K, Krishnan A, Poterucha J, Sanchez W, Watt K, Wiesner R, Charlton M. Noninvasive diagnosis of acute cellular rejection in liver transplant recipients: a proteomic signature validated by enzyme-linked immunosorbent assay. Liver Transpl 2011; 17:723-32. [PMID: 21618694 PMCID: PMC3293624 DOI: 10.1002/lt.22266] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The diagnosis of acute cellular rejection (ACR) requires liver biopsy with its attendant expense and risk. Our first aim was to prospectively determine in an exploratory analysis whether there is a serum proteome signature associated with histologically confirmed ACR. Our second aim was to use simpler and faster enzyme-linked immunosorbent assay (ELISA)-based assays for proteins identified as differentially abundant in the proteomic analysis to identify patients with ACR in a separate validation cohort. We used sequential high-abundance protein depletion and isobaric tag for relative and absolute quantitation liquid chromatography-tandem mass spectrometry to characterize the serum proteome in serum samples of patients with or without ACR. Seven of the 41 proteins identified as differentially abundant [serum amyloid A, complement component 4 (C4), fibrinogen, complement component 1q (C1q), complement component 3, heat shock protein 60 (HSP60), and HSP70] could be measured with ELISA-based assays in a validation cohort consisting of patients with ACR (n = 25) and patients without ACR (n = 21). The mean alanine aminotransferase (ALT) levels in patients with ACR and in patients without ACR were 198 ± 27 and 153 ± 34 U/L, respectively. Among the 7 proteins for which ELISA assays were available, C4 and C1q were both independent predictors of ACR. C4 had the greatest predictivity for differentiating patients with or without ACR. A C4 level ≤ 0.31 g/L had a sensitivity of 97%, a specificity of 62%, a positive predictive value of 74%, and a negative predictive value of 94%. A C4 level ≤ 0.31 g/L and an ALT level ≥ 70 IU/mL together had a sensitivity of 96%, a specificity of 81%, a positive predictive value of 86%, and a negative predictive value of 94%. In summary, in this exploratory analysis, serum C4 and ALT levels were highly predictive of ACR in liver transplant recipients. Confirmation in a prospective, larger, and diverse population is needed.
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Affiliation(s)
- Omar Massoud
- Division of Gastroenterology and Hepatology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Julie Heimbach
- Division of Transplant Surgery, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Kimberly Viker
- Department of Gastroenterology and Hepatology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Anuradha Krishnan
- Department of Gastroenterology and Hepatology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - John Poterucha
- Department of Gastroenterology and Hepatology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - William Sanchez
- Department of Gastroenterology and Hepatology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Kymberly Watt
- Department of Gastroenterology and Hepatology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Russell Wiesner
- Department of Gastroenterology and Hepatology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Michael Charlton
- Department of Gastroenterology and Hepatology, Mayo Clinic and Foundation, Rochester, Minnesota, USA
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Stachurski D, Smith BR, Pozdnyakova O, Andersen M, Xiao Z, Raza A, Woda BA, Wang SA. Flow cytometric analysis of myelomonocytic cells by a pattern recognition approach is sensitive and specific in diagnosing myelodysplastic syndrome and related marrow diseases: Emphasis on a global evaluation and recognition of diagnostic pitfalls. Leuk Res 2008; 32:215-24. [PMID: 17675229 DOI: 10.1016/j.leukres.2007.06.012] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2007] [Revised: 06/04/2007] [Accepted: 06/07/2007] [Indexed: 02/05/2023]
Abstract
Published data on flow cytometry (FCM) in diagnosing myelodysplastic syndromes (MDS) varies greatly in analytic methods and interpretational approaches. We tested the diagnostic utility of the pattern recognition approach by a retrospective review of 180 MDS, 31 myelodysplastic/myeloproliferative disease (MDS/MPD), 37 non-MDS cytopenia and 20 myeloproliferative disease (MPD) cases. Cases were placed into "positive", "intermediate", and "negative" FCM categories based upon the antigenic aberrations observed on myelomonocytic cells. By exclusion or inclusion of the intermediate category as indicative of MDS or MDS/MPD, the overall sensitivity and specificity were 84% and 97% or 98% and 78%, respectively. The overall abnormalities detected by FCM correlated with the severity of morphological dysplasia and clonal cytogenetic abnormalities. MPD also demonstrated immunophenotypic aberrancy. Based on a global evaluation of myelomonocytic abnormalities, and recognition of diagnostic pitfalls and caveats, the pattern recognition approach of FCM is sensitive and reliable in diagnosing MDS and related myeloid diseases.
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Affiliation(s)
- Dariusz Stachurski
- Department of Pathology, UMass Memorial Medical Center, University of Massachusetts, Worcester, MA, USA
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Abstract
AbstractOver the past few years, improved understanding of the molecular basis of interactions between antigen presenting cells and effector cells and advances in informatics have both led to the identification of many candidate antigens that are targets for immunotherapy. However, while immunotherapy has successfully eradicated relapsed hematologic malignancy after allogeneic transplant as well as virally induced tumors, limitations have been identified in extending immunotherapy to a wider range of hematologic malignancies. This review provides an overview of three immunotherapy strategies and how they may be improved.In Section I, Dr. Stevenson reviews the clinical experience with genetic vaccines delivered through naked DNA alone or viral vectors, which are showing promise in clinical trials in lymphoma and myeloma patients. She describes efforts to manipulate constructs genetically to enhance immunogenicity and to add additional elements to generate a more sustained immune response.In Section II, Dr. Molldrem describes clinical experience with peptide vaccines, with a particular focus on myeloid tissue-restricted proteins as GVL target antigens in CML and AML. Proteinase 3 and other azurophil granule proteins may be particularly good targets for both autologous and allogeneic T-cell responses. The potency of peptide vaccines may potentially be increased by genetically modifying peptides to enhance T-cell receptor affinity.Finally, in Section III, Dr. Heslop reviews clinical experience with adoptive immunotherapy with T cells. Transferred T cells have clinical benefit in treating relapsed malignancy post transplant, and Epstein-Barr virus associated tumors. However, T cells have been less successful in treating other hematologic malignancies due to inadequate persistence or expansion of adoptively transferred cells and the presence of tumor evasion mechanisms. An improved understanding of the interactions of antigen presenting cells with T cells should optimize efforts to manufacture effector T cells, while manipulation of lymphocyte homeostasis in vivo and development of gene therapy approaches may enhance the persistence and function of adoptively transferred T cells.
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Affiliation(s)
- Helen E Heslop
- Baylor College of Medicine, Center for Cell and Gene Therapy, Houston, TX 77030-2303, USA
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