1
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Tettero JM, Heidinga ME, Mocking TR, Fransen G, Kelder A, Scholten WJ, Snel AN, Ngai LL, Bachas C, van de Loosdrecht AA, Ossenkoppele GJ, de Leeuw DC, Cloos J, Janssen JJWM. Impact of hemodilution on flow cytometry based measurable residual disease assessment in acute myeloid leukemia. Leukemia 2024; 38:630-639. [PMID: 38272991 PMCID: PMC10912027 DOI: 10.1038/s41375-024-02158-1] [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: 09/24/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 01/27/2024]
Abstract
Measurable residual disease (MRD) measured in the bone marrow (BM) of acute myeloid leukemia (AML) patients after induction chemotherapy is an established prognostic factor. Hemodilution, stemming from peripheral blood (PB) mixing within BM during aspiration, can yield false-negative MRD results. We prospectively examined hemodilution by measuring MRD in BM aspirates obtained from three consecutive 2 mL pulls, along with PB samples. Our results demonstrated a significant decrease in MRD percentages between the first and second pulls (P = 0.025) and between the second and third pulls (P = 0.025), highlighting the impact of hemodilution. Initially, 39% of MRD levels (18/46 leukemia-associated immunophenotypes) exceeded the 0.1% cut-off, decreasing to 30% (14/46) in the third pull. Additionally, we assessed the performance of six published methods and parameters for distinguishing BM from PB samples, addressing or compensating for hemodilution. The most promising results relied on the percentages of CD16dim granulocytic population (scarce in BM) and CD117high mast cells (exclusive to BM). Our findings highlight the importance of estimating hemodilution in MRD assessment to qualify MRD results, particularly near the common 0.1% cut-off. To avoid false-negative results by hemodilution, it is essential to collect high-quality BM aspirations and preferably utilizing the initial pull for MRD testing.
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Affiliation(s)
- Jesse M Tettero
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Maaike E Heidinga
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Tim R Mocking
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Glenn Fransen
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Angèle Kelder
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Willemijn J Scholten
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Alexander N Snel
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Lok Lam Ngai
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Costa Bachas
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Arjan A van de Loosdrecht
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Gert J Ossenkoppele
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - David C de Leeuw
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jacqueline Cloos
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Hematology, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands.
| | - Jeroen J W M Janssen
- Department of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
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2
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Hanekamp D, Tettero JM, Ossenkoppele GJ, Kelder A, Cloos J, Schuurhuis GJ. AML/Normal Progenitor Balance Instead of Total Tumor Load (MRD) Accounts for Prognostic Impact of Flowcytometric Residual Disease in AML. Cancers (Basel) 2021; 13:2597. [PMID: 34073205 PMCID: PMC8198261 DOI: 10.3390/cancers13112597] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 05/20/2021] [Accepted: 05/25/2021] [Indexed: 12/11/2022] Open
Abstract
Measurable residual disease (MRD) in AML, assessed by multicolor flow cytometry, is an important prognostic factor. Progenitors are key populations in defining MRD, and cases of MRD involving these progenitors are calculated as percentage of WBC and referred to as white blood cell MRD (WBC-MRD). Two main compartments of WBC-MRD can be defined: (1) the AML part of the total primitive/progenitor (CD34+, CD117+, CD133+) compartment (referred to as primitive marker MRD; PM-MRD) and (2) the total progenitor compartment (% of WBC, referred to as PM%), which is the main quantitative determinant of WBC-MRD. Both are related as follows: WBC-MRD = PM-MRD × PM%. We explored the relative contribution of each parameter to the prognostic impact. In the HOVON/SAKK study H102 (300 patients), based on two objectively assessed cut-off points (2.34% and 10%), PM-MRD was found to offer an independent prognostic parameter that was able to identify three patient groups with different prognoses with larger discriminative power than WBC-MRD. In line with this, the PM% parameter itself showed no prognostic impact, implying that the prognostic impact of WBC-MRD results from the PM-MRD parameter it contains. Moreover, the presence of the PM% parameter in WBC-MRD may cause WBC-MRD false positivity and WBC-MRD false negativity. For the latter, at present, it is clinically relevant that PM-MRD ≥ 10% identifies a patient sub-group with a poor prognosis that is currently classified as good prognosis MRDnegative using the European LeukemiaNet 0.1% consensus MRD cut-off value. These observations suggest that residual disease analysis using PM-MRD should be conducted.
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Affiliation(s)
- Diana Hanekamp
- Department of Hematology, Amsterdam University Medical Centers, Cancer Center VU University Medical Center, 1081 HV Amsterdam, The Netherlands; (D.H.); (J.M.T.); (G.J.O.); (A.K.); (J.C.)
- Department of Hematology, Erasmus MC, NL-3000 CA Rotterdam, The Netherlands
| | - Jesse M. Tettero
- Department of Hematology, Amsterdam University Medical Centers, Cancer Center VU University Medical Center, 1081 HV Amsterdam, The Netherlands; (D.H.); (J.M.T.); (G.J.O.); (A.K.); (J.C.)
| | - Gert J. Ossenkoppele
- Department of Hematology, Amsterdam University Medical Centers, Cancer Center VU University Medical Center, 1081 HV Amsterdam, The Netherlands; (D.H.); (J.M.T.); (G.J.O.); (A.K.); (J.C.)
| | - Angèle Kelder
- Department of Hematology, Amsterdam University Medical Centers, Cancer Center VU University Medical Center, 1081 HV Amsterdam, The Netherlands; (D.H.); (J.M.T.); (G.J.O.); (A.K.); (J.C.)
| | - Jacqueline Cloos
- Department of Hematology, Amsterdam University Medical Centers, Cancer Center VU University Medical Center, 1081 HV Amsterdam, The Netherlands; (D.H.); (J.M.T.); (G.J.O.); (A.K.); (J.C.)
| | - Gerrit Jan Schuurhuis
- Department of Hematology, Amsterdam University Medical Centers, Cancer Center VU University Medical Center, 1081 HV Amsterdam, The Netherlands; (D.H.); (J.M.T.); (G.J.O.); (A.K.); (J.C.)
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3
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Mounier M, Romain G, Callanan M, Alla AD, Boussari O, Maynadié M, Colonna M, Jooste V. Flexible Modeling of Net Survival and Cure by AML Subtype and Age: A French Population-Based Study from FRANCIM. J Clin Med 2021; 10:jcm10081657. [PMID: 33924506 PMCID: PMC8069423 DOI: 10.3390/jcm10081657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/25/2021] [Accepted: 03/29/2021] [Indexed: 11/29/2022] Open
Abstract
With improvements in acute myeloid leukemia (AML) diagnosis and treatment, more patients are surviving for longer periods. A French population of 9453 AML patients aged ≥15 years diagnosed from 1995 to 2015 was studied to quantify the proportion cured (P), time to cure (TTC) and median survival of patients who are not cured (MedS). Net survival (NS) was estimated using a flexible model adjusted for age and sex in sixteen AML subtypes. When cure assumption was acceptable, the flexible cure model was used to estimate P, TTC and MedS for the uncured patients. The 5-year NS varied from 68% to 9% in men and from 77% to 11% in women in acute promyelocytic leukemia (AML-APL) and in therapy-related AML (t-AML), respectively. Major age-differenced survival was observed for patients with a diagnosis of AML with recurrent cytogenetic abnormalities. A poorer survival in younger patients was found in t-AML and AML with minimal differentiation. An atypical survival profile was found for acute myelomonocytic leukemia and AML without maturation in both sexes and for AML not otherwise specified (only for men) according to age, with a better prognosis for middle-aged compared to younger patients. Sex disparity regarding survival was observed in younger patients with t-AML diagnosed at 25 years of age (+28% at 5 years in men compared to women) and in AML with minimal differentiation (+23% at 5 years in women compared to men). All AML subtypes included an age group for which the assumption of cure was acceptable, although P varied from 90% in younger women with AML-APL to 3% in older men with acute monoblastic and monocytic leukemia. Increased P was associated with shorter TTC. A sizeable proportion of AML patients do not achieve cure, and MedS for these did not exceed 23 months. We identify AML subsets where cure assumption is negative, thus pointing to priority areas for future research efforts.
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Affiliation(s)
- Morgane Mounier
- Dijon-Bourgogne University Hospital, Registre des Hémopathies Malignes de Côte d’Or, F-21000 Dijon, France; (M.C.); (A.D.A.); (M.M.)
- UMR 1231, SAPHIHR Team, INSERM, Université Bourgogne-Franche_Comté, F-21000 Dijon, France
- LabEX LipSTIC, ANR-11-LABX-0021, F-21000 Dijon, France;
- Correspondence:
| | - Gaëlle Romain
- Dijon-Bourgogne University Hospital, Registre Bourguignon des Cancers Digestifs, F-21000 Dijon, France; (G.R.); (V.J.)
- UMR 1231, EPICAD Team, INSERM, Université Bourgogne-Franche_Comté, F-21000 Dijon, France
| | - Mary Callanan
- Dijon-Bourgogne University Hospital, Registre des Hémopathies Malignes de Côte d’Or, F-21000 Dijon, France; (M.C.); (A.D.A.); (M.M.)
- UMR 1231, SAPHIHR Team, INSERM, Université Bourgogne-Franche_Comté, F-21000 Dijon, France
- LabEX LipSTIC, ANR-11-LABX-0021, F-21000 Dijon, France;
| | - Akoua Denise Alla
- Dijon-Bourgogne University Hospital, Registre des Hémopathies Malignes de Côte d’Or, F-21000 Dijon, France; (M.C.); (A.D.A.); (M.M.)
- UMR 1231, SAPHIHR Team, INSERM, Université Bourgogne-Franche_Comté, F-21000 Dijon, France
- LabEX LipSTIC, ANR-11-LABX-0021, F-21000 Dijon, France;
| | - Olayidé Boussari
- LabEX LipSTIC, ANR-11-LABX-0021, F-21000 Dijon, France;
- UMR 1231, EPICAD Team, INSERM, Université Bourgogne-Franche_Comté, F-21000 Dijon, France
- Fédération Francophone de Cancérologie Digestive, Département de Méthodologie, F-21000 Dijon, France
| | - Marc Maynadié
- Dijon-Bourgogne University Hospital, Registre des Hémopathies Malignes de Côte d’Or, F-21000 Dijon, France; (M.C.); (A.D.A.); (M.M.)
- UMR 1231, SAPHIHR Team, INSERM, Université Bourgogne-Franche_Comté, F-21000 Dijon, France
- LabEX LipSTIC, ANR-11-LABX-0021, F-21000 Dijon, France;
| | - Marc Colonna
- Grenoble University Hospital, Registre du Cancer de l’Isère, F-38000 Grenoble, France;
| | - Valérie Jooste
- Dijon-Bourgogne University Hospital, Registre Bourguignon des Cancers Digestifs, F-21000 Dijon, France; (G.R.); (V.J.)
- UMR 1231, EPICAD Team, INSERM, Université Bourgogne-Franche_Comté, F-21000 Dijon, France
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4
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Godwin CD, Zhou Y, Othus M, Asmuth MM, Shaw CM, Gardner KM, Wood BL, Walter RB, Estey EH. Acute myeloid leukemia measurable residual disease detection by flow cytometry in peripheral blood vs bone marrow. Blood 2021; 137:569-572. [PMID: 33507294 PMCID: PMC7845008 DOI: 10.1182/blood.2020006219] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 09/22/2020] [Indexed: 12/14/2022] Open
Affiliation(s)
- Colin D Godwin
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Medicine, Division of Hematology, and
| | - Yi Zhou
- Department of Laboratory Medicine, Division of Hematopathology, University of Washington, Seattle, WA
| | - Megan Othus
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA; and
| | | | - Carole M Shaw
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Brent L Wood
- Department of Laboratory Medicine, Division of Hematopathology, University of Washington, Seattle, WA
| | - Roland B Walter
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Medicine, Division of Hematology, and
- Department of Pathology, and
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Elihu H Estey
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Medicine, Division of Hematology, and
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5
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Venditti A, Gale RP, Buccisano F, Ossenkoppele G. Should persons with acute myeloid leukemia (AML) in 1st histological complete remission who are measurable residual disease (MRD) test positive receive an allotransplant? Leukemia 2020; 34:963-965. [PMID: 32132654 DOI: 10.1038/s41375-020-0780-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 02/01/2020] [Accepted: 02/18/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Adriano Venditti
- Department of Biomedicine and Prevention at University "Tor Vergata", Fondazione Policlinico Tor Vergata, Rome, Italy.
| | - Robert Peter Gale
- Haematology Research Centre, Department of Immunology and Inflammation, Imperial College London, London, UK
| | - Francesco Buccisano
- Department of Biomedicine and Prevention at University "Tor Vergata", Fondazione Policlinico Tor Vergata, Rome, Italy
| | - Gert Ossenkoppele
- Department of Hematology, VU University Medical Centre Amsterdam, Amsterdam, Noord-Holland, The Netherlands
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6
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Cloos J, Ossenkoppele GJ, Dillon R. Minimal residual disease and stem cell transplantation outcomes. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2019; 2019:617-625. [PMID: 31808862 PMCID: PMC6913494 DOI: 10.1182/hematology.2019000006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Risk classification and tailoring of treatment are essential for improving outcome for patients with acute myeloid leukemia or high-risk myelodysplastic syndrome. Both patient and leukemia-specific characteristics assessed using morphology, cytogenetics, molecular biology, and multicolor flow cytometry are relevant at diagnosis and during induction, consolidation, and maintenance phases of the treatment. In particular, minimal residual disease (MRD) during therapy has potential as a prognostic factor of outcome, determination of response to therapy, and direction of targeted therapy. MRD can be determined by cell surface markers using multicolor flow cytometry, whereas leukemia-specific translocations and mutations are measured using polymerase chain reaction-based techniques and recently using next-generation sequencing. All these methods of MRD detection have their (dis)advantages, and all need to be standardized, prospectively validated, and improved to be used for uniform clinical decision making and a potential surrogate end point for clinical trials testing novel treatment strategies. Important issues to be solved are time point of MRD measurement and threshold for MRD positivity. MRD is used for stem cell transplantation (SCT) selection in the large subgroup of patients with an intermediate risk profile. Patients who are MRD positive will benefit from allo-SCT. However, MRD-negative patients have a better chance of survival after SCT. Therefore, it is debated whether MRD-positive patients should be extensively treated to become MRD negative before SCT. Either way, accurate monitoring of potential residual or upcoming disease is mandatory. Tailoring therapy according to MRD monitoring may be the most successful way to provide appropriate specifically targeted, personalized treatment.
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Affiliation(s)
- Jacqueline Cloos
- Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, VUMC, Amsterdam, The Netherlands; and
| | - Gert J Ossenkoppele
- Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, VUMC, Amsterdam, The Netherlands; and
| | - Richard Dillon
- Department of Medical and Molecular Genetics, King's College, London, United Kingdom
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Freeman SD, Hourigan CS. MRD evaluation of AML in clinical practice: are we there yet? HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2019; 2019:557-569. [PMID: 31808906 PMCID: PMC6913462 DOI: 10.1182/hematology.2019000060] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
MRD technologies increase our ability to measure response in acute myeloid leukemia (AML) beyond the limitations of morphology. When applied in clinical trials, molecular and immunophenotypic MRD assays have improved prognostic precision, providing a strong rationale for their use to guide treatment, as well as to measure its effectiveness. Initiatives such as those from the European Leukemia Network now provide a collaborative knowledge-based framework for selection and implementation of MRD assays most appropriate for defined genetic subgroups. For patients with mutated-NPM1 AML, quantitative polymerase chain reaction (qPCR) monitoring of mutated-NPM1 transcripts postinduction and sequentially after treatment has emerged as a highly sensitive and specific tool to predict relapse and potential benefit from allogeneic transplant. Flow cytometric MRD after induction is prognostic across genetic risk groups and can identify those patients in the wild-type NPM1 intermediate AML subgroup with a very high risk for relapse. In parallel with these data, advances in genetic profiling have extended understanding of the etiology and the complex dynamic clonal nature of AML, as well as created the opportunity for MRD monitoring using next-generation sequencing (NGS). NGS AML MRD detection can stratify outcomes and has potential utility in the peri-allogeneic transplant setting. However, there remain challenges inherent in the NGS approach of multiplex quantification of mutations to track AML MRD. Although further development of this methodology, together with orthogonal testing, will clarify its relevance for routine clinical use, particularly for patients lacking a qPCR genetic target, established validated MRD assays can already provide information to direct clinical practice.
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Affiliation(s)
- Sylvie D Freeman
- Clinical Immunology Service, Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom; and
| | - Christopher S Hourigan
- Laboratory of Myeloid Malignancies, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
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8
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Zeijlemaker W, Kelder A, Cloos J, Schuurhuis GJ. Immunophenotypic Detection of Measurable Residual (Stem Cell) Disease Using LAIP Approach in Acute Myeloid Leukemia. CURRENT PROTOCOLS IN CYTOMETRY 2019; 91:e66. [PMID: 31763792 PMCID: PMC6856793 DOI: 10.1002/cpcy.66] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Half of the patients with acute myeloid leukemia (AML), who achieve complete remission after chemotherapy treatment, will ultimately experience a relapse. Measurable residual disease (MRD) is an important post-treatment risk factor in AML, because it gives additional information about the depth of the remission. Within MRD, the small population of leukemic stem cells (LSCs) is thought to be at the base of the actual relapse. In this protocol, the flow cytometric detection of MRD and LSCs herein is outlined. We give a detailed overview of the sampling procedures for optimal multiparameter flow cytometry assessment of both MRD and LSC, using leukemia associated immunophenotypes (LAIPs) and LSC markers. Moreover, an overview of the gating strategies to detect LAIPs and LSC markers is provided. This protocol serves as guidance for flow cytometric detection of measurable residual (stem cell) disease necessary for proper therapeutic decision making in AML patients. © 2019 The Authors. Basic Protocol 1: Immunophenotypic LAIP detection for measurable residual disease monitoring Basic Protocol 2: Immunophenotypic detection of CD34+CD38- leukemic stem cells.
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MESH Headings
- ADP-ribosyl Cyclase 1/metabolism
- Antigens, CD34/metabolism
- Biomarkers, Tumor/analysis
- Bone Marrow Cells/pathology
- Cell Count
- Cells, Cultured
- Flow Cytometry/methods
- Humans
- Immunophenotyping/methods
- Leukemia, Myeloid, Acute/diagnosis
- Leukemia, Myeloid, Acute/metabolism
- Leukemia, Myeloid, Acute/pathology
- Monitoring, Physiologic/methods
- Neoplasm, Residual
- Neoplastic Stem Cells/immunology
- Neoplastic Stem Cells/metabolism
- Neoplastic Stem Cells/pathology
- Recurrence
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Affiliation(s)
- Wendelien Zeijlemaker
- Department of HematologyAmsterdam University Medical Center, Cancer Center VU University Medical CenterAmsterdamThe Netherlands
| | - Angele Kelder
- Department of HematologyAmsterdam University Medical Center, Cancer Center VU University Medical CenterAmsterdamThe Netherlands
| | - Jacqueline Cloos
- Department of HematologyAmsterdam University Medical Center, Cancer Center VU University Medical CenterAmsterdamThe Netherlands
| | - Gerrit Jan Schuurhuis
- Department of HematologyAmsterdam University Medical Center, Cancer Center VU University Medical CenterAmsterdamThe Netherlands
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