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Park M, Lim J, Ahn A, Oh EJ, Song J, Kim KH, Han JY, Choi HW, Park JH, Shin KH, Kim H, Kim M, Hwang SH, Kim HY, Cho D, Kang ES. Current Status of Flow Cytometric Immunophenotyping of Hematolymphoid Neoplasms in Korea. Ann Lab Med 2024; 44:222-234. [PMID: 38145891 PMCID: PMC10813832 DOI: 10.3343/alm.2023.0298] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/12/2023] [Accepted: 12/08/2023] [Indexed: 12/27/2023] Open
Abstract
Background Flow cytometric immunophenotyping of hematolymphoid neoplasms (FCI-HLN) is essential for diagnosis, classification, and minimal residual disease (MRD) monitoring. FCI-HLN is typically performed using in-house protocols, raising the need for standardization. Therefore, we surveyed the current status of FCI-HLN in Korea to obtain fundamental data for quality improvement and standardization. Methods Eight university hospitals actively conducting FCI-HLN participated in our survey. We analyzed responses to a questionnaire that included inquiries regarding test items, reagent antibodies (RAs), fluorophores, sample amounts (SAs), reagent antibody amounts (RAAs), acquisition cell number (ACN), isotype control (IC) usage, positive/negative criteria, and reporting. Results Most hospitals used acute HLN, chronic HLN, plasma cell neoplasm (PCN), and MRD panels. The numbers of RAs were heterogeneous, with a maximum of 32, 26, 12, 14, and 10 antibodies used for acute HLN, chronic HLN, PCN, ALL-MRD, and multiple myeloma-MRD, respectively. The number of fluorophores ranged from 4 to 10. RAs, SAs, RAAs, and ACN were diverse. Most hospitals used a positive criterion of 20%, whereas one used 10% for acute and chronic HLN panels. Five hospitals used ICs for the negative criterion. Positive/negative assignments, percentages, and general opinions were commonly reported. In MRD reporting, the limit of detection and lower limit of quantification were included. Conclusions This is the first comprehensive study on the current status of FCI-HLN in Korea, confirming the high heterogeneity and complexity of FCI-HLN practices. Standardization of FCI-HLN is urgently needed. The findings provide a reference for establishing standard FCI-HLN guidelines.
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Affiliation(s)
- Mikyoung Park
- Department of Laboratory Medicine, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jihyang Lim
- Department of Laboratory Medicine, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ari Ahn
- Department of Laboratory Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Eun-Jee Oh
- Department of Laboratory Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jaewoo Song
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Kyeong-Hee Kim
- Department of Laboratory Medicine, Dong-A University Hospital, College of Medicine, Dong-A University, Busan, Korea
| | - Jin-Yeong Han
- Department of Laboratory Medicine, Dong-A University Hospital, College of Medicine, Dong-A University, Busan, Korea
| | - Hyun-Woo Choi
- Department of Laboratory Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
| | - Joo-Heon Park
- Department of Laboratory Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
| | - Kyung-Hwa Shin
- Department of Laboratory Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea
| | - Hyerim Kim
- Department of Laboratory Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea
| | - Miyoung Kim
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sang-Hyun Hwang
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hyun-Young Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Duck Cho
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eun-Suk Kang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Row C, Lechevalier N, Vial JP, Mimoun A, Bastie JN, Lafon I, Pigneux A, Leguay T, Callanan M, Maynadie M, Béné MC, Dumas PY, Guy J. Prognostic value of postinduction medullary myeloid recovery by flow cytometry in acute myeloid leukemia. EJHAEM 2024; 5:84-92. [PMID: 38406512 PMCID: PMC10887270 DOI: 10.1002/jha2.822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/29/2023] [Accepted: 10/16/2023] [Indexed: 02/27/2024]
Abstract
Risk stratification and treatment response evaluation are key features in acute myeloid leukemia (AML) management. Immunophenotypic and molecular approaches all rely on the detection of persisting leukemic cells by measurable residual disease techniques. A new approach is proposed here by assessing medullary myeloid maturation by flow cytometry through a myeloid progenitor ratio (MPR). The normal MPR range was defined using reference normal bone marrows (n = 48). MPR was considered balanced if between 1 and 4 and unbalanced if < 1 or > 4. MPR was retrospectively assessed at baseline and post-induction for 206 newly diagnosed AML patients eligible for intensive treatment from two different French centers. All AML baseline MPR were unbalanced and thus significantly different from normal MPR (p < 0.0001). Patients with an unbalanced MPR after induction had worse 3-year overall survival (OS) (44.4% vs. 80.2%, HR, 2.96; 95% CI, 1.81-4.84, p < 0.0001) and 3-year relapse free survival (RFS) (38.7% vs. 64.4%, HR, 2.11; 95% CI, 1.39-3.18, p < 0.001). In multivariate analysis, postinduction unbalanced MPR was significantly associated with shorter OS and RFS regardless of the European LeukemiaNet 2010 risk stratification or NPM1/FLT3-ITD status. A balanced postinduction MPR conversely conferred favorable outcomes and reflects medullary myeloid recovery.
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Affiliation(s)
- Céline Row
- Service d'Hématologie BiologiqueCHU de DijonDijonFrance
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| | | | | | - Aguirre Mimoun
- Service d'Hématologie BiologiqueCHU de BordeauxBordeauxFrance
| | - Jean Noel Bastie
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
- Service d'Hématologie CliniqueCHU de DijonDijonFrance
| | - Ingrid Lafon
- Service d'Hématologie BiologiqueCHU de BordeauxBordeauxFrance
| | - Arnaud Pigneux
- Service d'Hématologie Clinique et de Thérapie CellulaireCHU de BordeauxBordeauxFrance
| | - Thibaut Leguay
- Service d'Hématologie Clinique et de Thérapie CellulaireCHU de BordeauxBordeauxFrance
| | - Mary Callanan
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| | - Marc Maynadie
- Service d'Hématologie BiologiqueCHU de DijonDijonFrance
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| | - Marie C. Béné
- CRCI2NA INSERM UMR 1307 & CNRS UMR 6075 Université de NantesNantesFrance
| | | | - Julien Guy
- Service d'Hématologie BiologiqueCHU de DijonDijonFrance
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
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Vial JP, Lechevalier N, Lacombe F, Dumas PY, Bidet A, Leguay T, Vergez F, Pigneux A, Béné MC. Unsupervised Flow Cytometry Analysis Allows for an Accurate Identification of Minimal Residual Disease Assessment in Acute Myeloid Leukemia. Cancers (Basel) 2021; 13:629. [PMID: 33562525 PMCID: PMC7914957 DOI: 10.3390/cancers13040629] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/01/2021] [Accepted: 02/02/2021] [Indexed: 11/16/2022] Open
Abstract
The assessment of minimal residual disease (MRD) is increasingly considered to monitor response to therapy in hematological malignancies. In acute myeloblastic leukemia (AML), molecular MRD (mMRD) is possible for about half the patients while multiparameter flow cytometry (MFC) is more broadly available. However, MFC analysis strategies are highly operator-dependent. Recently, new tools have been designed for unsupervised MFC analysis, segregating cell-clusters with the same immunophenotypic characteristics. Here, the Flow-Self-Organizing-Maps (FlowSOM) tool was applied to assess MFC-MRD in 96 bone marrow (BM) follow-up (FU) time-points from 40 AML patients with available mMRD. A reference FlowSOM display was built from 19 healthy/normal BM samples (NBM), then simultaneously compared to the patient's diagnosis and FU samples at each time-point. MRD clusters were characterized individually in terms of cell numbers and immunophenotype. This strategy disclosed subclones with varying immunophenotype within single diagnosis and FU samples including populations absent from NBM. Detectable MRD was as low as 0.09% in MFC and 0.051% for mMRD. The concordance between mMRD and MFC-MRD was 80.2%. MFC yielded 85% specificity and 69% sensitivity compared to mMRD. Unsupervised MFC is shown here to allow for an easy and robust assessment of MRD, applicable also to AML patients without molecular markers.
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Affiliation(s)
- Jean Philippe Vial
- Hematology Biology, Flow Cytometry, Bordeaux University Hospital, 33600 Pessac, France; (J.P.V.); (N.L.); (F.L.)
| | - Nicolas Lechevalier
- Hematology Biology, Flow Cytometry, Bordeaux University Hospital, 33600 Pessac, France; (J.P.V.); (N.L.); (F.L.)
| | - Francis Lacombe
- Hematology Biology, Flow Cytometry, Bordeaux University Hospital, 33600 Pessac, France; (J.P.V.); (N.L.); (F.L.)
| | - Pierre-Yves Dumas
- Service d’Hématologie Clinique et de Thérapie Cellulaire, Bordeaux University Hospital, 33600 Pessac, France; (P.-Y.D.); (T.L.); (A.P.)
| | - Audrey Bidet
- Hematology Biology, Molecular Hematology, Bordeaux University Hospital, 33600 Pessac, France;
| | - Thibaut Leguay
- Service d’Hématologie Clinique et de Thérapie Cellulaire, Bordeaux University Hospital, 33600 Pessac, France; (P.-Y.D.); (T.L.); (A.P.)
| | - François Vergez
- Hematology Biology, IUCT Oncopôle, Toulouse University Hospital, 31000 Toulouse, France;
| | - Arnaud Pigneux
- Service d’Hématologie Clinique et de Thérapie Cellulaire, Bordeaux University Hospital, 33600 Pessac, France; (P.-Y.D.); (T.L.); (A.P.)
| | - Marie C. Béné
- Hematology Biology, Nantes University Hospital, 44000 Nantes, France
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Debord C, Wuillème S, Eveillard M, Theisen O, Godon C, Le Bris Y, Béné MC. Flow cytometry in the diagnosis of mature B-cell lymphoproliferative disorders. Int J Lab Hematol 2021; 42 Suppl 1:113-120. [PMID: 32543070 DOI: 10.1111/ijlh.13170] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 01/27/2020] [Accepted: 01/31/2020] [Indexed: 12/19/2022]
Abstract
B-lineage lymphoproliferative disorders (LPD) are rather frequent diseases, associated with specific clinical or biological features but also sometimes of fortuitous discovery. Multiparameter flow cytometry plays a major role for a rapid diagnostic indication, on peripheral blood or bone marrow samples in most instances, guiding complementary analyses and allowing for the proper therapeutic management of patients. After describing the important pre-analytical precautions required for an adequate assessment, the immunophenotypic features of small-cell and large-cell lymphomas are described in this review. The ubiquitous expression of CD19 is a first mandatory gating step. A possible clonal proliferation is then suspected by the demonstration of surface immunoglobulin light chain restriction. The aberrant presence of CD5 allows to segregate chronic lymphocytic leukemia and mantle cell lymphoma in most cases. Other LPD exhibit specific immunophenotypic features. A table of useful markers and a decision tree are provided. Of note, immunophenotypic data should as much as possible be interpreted in an integrated manner, involving the patient's clinical and other biological features, and be completed by further chromosomal and/or molecular investigations.
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Affiliation(s)
- Camille Debord
- Hematology Biology Department, Nantes University Hospital and CRCINA, Nantes, France
| | - Soraya Wuillème
- Hematology Biology Department, Nantes University Hospital and CRCINA, Nantes, France
| | - Marion Eveillard
- Hematology Biology Department, Nantes University Hospital and CRCINA, Nantes, France
| | - Olivier Theisen
- Hematology Biology Department, Nantes University Hospital and CRCINA, Nantes, France
| | - Catherine Godon
- Hematology Biology Department, Nantes University Hospital and CRCINA, Nantes, France
| | - Yanick Le Bris
- Hematology Biology Department, Nantes University Hospital and CRCINA, Nantes, France
| | - Marie C Béné
- Hematology Biology Department, Nantes University Hospital and CRCINA, Nantes, France
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Lacombe F, Lechevalier N, Vial JP, Béné MC. An R-Derived FlowSOM Process to Analyze Unsupervised Clustering of Normal and Malignant Human Bone Marrow Classical Flow Cytometry Data. Cytometry A 2019; 95:1191-1197. [PMID: 31577391 DOI: 10.1002/cyto.a.23897] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 08/19/2019] [Accepted: 08/20/2019] [Indexed: 01/14/2023]
Abstract
Multiparameter flow cytometry (MFC) is a powerful and versatile tool to accurately analyze cell subsets, notably to explore normal and pathological hematopoiesis. Yet, mostly supervised subjective strategies are used to identify cell subsets in this complex tissue. In the past few years, the implementation of mass cytometry and the big data generated have led to a blossoming of new software solutions. Their application to classical MFC in hematology is however still seldom reported. Here, we show how one of these new tools, the FlowSOM R solution, can be applied, together with the Kaluza® software, to a new delineation of hematopoietic subsets in normal human bone marrow (BM). We thus combined the unsupervised discrimination of cell subsets provided by FlowSOM and their expert-driven node-by-node assignment to known or new hematopoietic subsets. We also show how this new tool could modify the MFC exploration of hematological malignancies both at diagnosis (Dg) and follow-up (FU). This can be achieved by direct comparison of merged listmodes of reference normal BM, Dg, and FU samples of a representative acute myeloblastic case tested with the same immunophenotyping panel. This provides an immediate unsupervised evaluation of minimal residual disease. © 2019 International Society for Advancement of Cytometry.
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Affiliation(s)
- Francis Lacombe
- Flow cytometry department, Hematology Laboratory, Bordeaux University Hospital, Pessac, France
| | - Nicolas Lechevalier
- Flow cytometry department, Hematology Laboratory, Bordeaux University Hospital, Pessac, France
| | - Jean Philippe Vial
- Flow cytometry department, Hematology Laboratory, Bordeaux University Hospital, Pessac, France
| | - Marie C Béné
- Hematology Biology, Nantes University Hospital, CRCINA, Nantes, France
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6
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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7
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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8
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 or extractvalue(1224,concat(0x5c,0x7170707871,(select (elt(1224=1224,1))),0x7162627671))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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10
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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11
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 rlike (select (case when (2397=1595) then 0x31302e313030322f6379746f2e622e3231373833 else 0x28 end))-- mlwg] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 procedure analyse(extractvalue(1697,concat(0x5c,0x7170707871,(select (case when (1697=1697) then 1 else 0 end)),0x7162627671)),1)-- dotb] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 rlike (select (case when (2220=2220) then 0x31302e313030322f6379746f2e622e3231373833 else 0x28 end))-- yagd] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 procedure analyse(extractvalue(1697,concat(0x5c,0x7170707871,(select (case when (1697=1697) then 1 else 0 end)),0x7162627671)),1)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 rlike (select (case when (8458=4072) then 0x31302e313030322f6379746f2e622e3231373833 else 0x28 end))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 order by 1-- adlw] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and 1217=5418-- qlta] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and extractvalue(1180,concat(0x5c,0x7170707871,(select (elt(1180=1180,1))),0x7162627671))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and (select (case when (2892=2892) then null else ctxsys.drithsx.sn(1,2892) end) from dual) is null] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and extractvalue(1180,concat(0x5c,0x7170707871,(select (elt(1180=1180,1))),0x7162627671))-- evzo] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and (select (case when (2892=2892) then null else ctxsys.drithsx.sn(1,2892) end) from dual) is null-- lgvs] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and 8193=(select (case when (8193=1440) then 8193 else (select 1440 union select 7618) end))-- wyue] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 order by 1-- ciuf] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and (select (case when (8983=5378) then null else cast((chr(100)||chr(108)||chr(65)||chr(65)) as numeric) end)) is null] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 rlike (select (case when (2220=2220) then 0x31302e313030322f6379746f2e622e3231373833 else 0x28 end))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 order by 1#] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and (select (case when (8951=8951) then null else cast((chr(80)||chr(107)||chr(78)||chr(65)) as numeric) end)) is null] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 or extractvalue(1224,concat(0x5c,0x7170707871,(select (elt(1224=1224,1))),0x7162627671))-- eljp] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and 5328=5155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and (select (case when (8951=8951) then null else cast((chr(80)||chr(107)||chr(78)||chr(65)) as numeric) end)) is null-- fcav] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 or (select 3518 from(select count(*),concat(0x7170707871,(select (elt(3518=3518,1))),0x7162627671,floor(rand(0)*2))x from information_schema.plugins group by x)a)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and (select (case when (1060=9577) then null else ctxsys.drithsx.sn(1,1060) end) from dual) is null-- tpsl] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and (select 4939 from(select count(*),concat(0x7170707871,(select (elt(4939=4939,1))),0x7162627671,floor(rand(0)*2))x from information_schema.plugins group by x)a)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019; 96:183-194. [DOI: 10.1002/cyto.b.21783] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 03/26/2019] [Accepted: 03/27/2019] [Indexed: 01/09/2023]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and (select (case when (7918=8049) then null else cast((chr(86)||chr(82)||chr(121)||chr(120)) as numeric) end)) is null-- tdsx] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and (select (case when (4013=1059) then null else ctxsys.drithsx.sn(1,4013) end) from dual) is null] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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Porwit A, Béné MC. Multiparameter flow cytometry applications in the diagnosis of mixed phenotype acute leukemia. CYTOMETRY PART B-CLINICAL CYTOMETRY 2019. [DOI: 10.1002/cyto.b.21783 and 4849=4849-- dmuz] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Anna Porwit
- Department of Clinical Sciences Lund, Oncology and Pathology, Faculty of MedicineLund University Lund Sweden
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