1
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Cloos J. Understanding differential technologies for detection of MRD and how to incorporate into clinical practice. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2023; 2023:682-690. [PMID: 38066915 PMCID: PMC10727023 DOI: 10.1182/hematology.2023000454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Patient- and leukemia-specific factors assessed at diagnosis classify patients with acute myeloid leukemia (AML) in risk categories that are prognostic for outcome. The induction phase with intensive chemotherapy in fit patients aims to reach a complete remission (CR) of less than 5% blasts in bone marrow by morphology. To deepen and sustain the response, induction is followed by consolidation treatment. This postremission treatment of patients with AML is graduated in intensity based on this favorable, intermediate, or adverse risk group classification as defined in the European Leukemia Network (ELN) 2022 recommendations. The increment of evidence that measurable residual disease (MRD) after induction can be superimposed on risk group at diagnosis is instrumental in tailoring further treatment accordingly. Several techniques are applied to detect MRD such as multiparameter flow cytometry (MFC), quantitative (digital) polymerase chain reaction (PCR), and next-generation sequencing. The clinical implementation of MRD and the technique used differ among institutes, leading to the accumulation of a wide range of data, and therefore harmonization is warranted. Currently, evidence for MRD guidance is limited to the time point after induction using MFC or quantitative PCR for NPM1 and core binding factor abnormalities in intermediate-risk patients. The role of MRD in targeted or nonintensive therapies needs to be clarified, although some data show improved survival in patients achieving CR-MRD negativity. Potential application of MRD for selection of conditioning before stem cell transplantation, monitoring after consolidation, and use as an intermediate end point in clinical trials need further evaluation.
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Affiliation(s)
- Jacqueline Cloos
- Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, location VUMC, Amsterdam, the Netherlands
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2
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Ngai LL, Hanekamp D, Janssen F, Carbaat-Ham J, Hofland MAMA, Fayed MMHE, Kelder A, Oudshoorn-van Marsbergen L, Scholten WJ, Snel AN, Bachas C, Tettero JM, Breems DA, Fischer T, Gjertsen BT, Griškevičius L, Juliusson G, van de Loosdrecht AA, Maertens JA, Manz MG, Pabst T, Passweg JR, Porkka K, Valk PJM, Gradowska P, Löwenberg B, de Leeuw DC, Janssen JJWM, Ossenkoppele GJ, Cloos J. Prospective validation of the prognostic relevance of CD34+CD38- AML stem cell frequency in the HOVON-SAKK132 trial. Blood 2023; 141:2657-2661. [PMID: 36898087 PMCID: PMC10646801 DOI: 10.1182/blood.2022019160] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/03/2023] [Accepted: 02/27/2023] [Indexed: 03/12/2023] Open
Affiliation(s)
- Lok Lam Ngai
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Diana Hanekamp
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Hematology, Erasmus MC, Rotterdam, Netherlands
| | - Fleur Janssen
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jannemieke Carbaat-Ham
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Maaike A. M. A. Hofland
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Mona M. H. E Fayed
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Angèle Kelder
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Laura Oudshoorn-van Marsbergen
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Willemijn J. Scholten
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Alexander N. Snel
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Costa Bachas
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jesse M. Tettero
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Dimitri A. Breems
- Department of Hematology, Ziekenhuis Netwerk Antwerpen, Antwerp, Belgium
| | - Thomas Fischer
- Department of Hematology and Oncology, Otto von Guericke University Hospital Magdeburg, Magdeburg, Germany
| | - Bjørn T. Gjertsen
- Department of Clinical Science, Haukeland University Hospital, Bergen, Norway
| | - Laimonas Griškevičius
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos and Vilnius University, Vilnius, Lithuania
| | - Gunnar Juliusson
- Department of Hematology, Skanes University Hospital, Lund, Sweden
| | - Arjan A. van de Loosdrecht
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Johan A. Maertens
- Department of Hematology, University Hospital Gasthuisberg, Leuven, Belgium
| | - Markus G. Manz
- Department of Medical Oncology and Hematology, University Hospital, Zurich, Switzerland
- Swiss Group for Clinical Cancer Research, Bern, Switzerland
| | - Thomas Pabst
- Swiss Group for Clinical Cancer Research, Bern, Switzerland
- Department of Medical Oncology, Inselspital, University Hospital, Bern, Switzerland
| | - Jakob R. Passweg
- Swiss Group for Clinical Cancer Research, Bern, Switzerland
- Department of Hematology, University Hospital, Basel, Switzerland
| | - Kimmo Porkka
- Department of Hematology, Helsinki University Hospital Cancer Center, Helsinki, Finland
| | | | - Patrycja Gradowska
- Dutch-Belgian Hemato-Oncology Cooperative Group Data Center–Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Bob Löwenberg
- Department of Hematology, Erasmus MC, Rotterdam, Netherlands
| | - David C. de Leeuw
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jeroen J. W. M. Janssen
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Gert J. Ossenkoppele
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jacqueline Cloos
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Cancer Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
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3
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Immunophenotypic aberrant hematopoietic stem cells in myelodysplastic syndromes: a biomarker for leukemic progression. Leukemia 2023; 37:680-690. [PMID: 36792658 PMCID: PMC9991914 DOI: 10.1038/s41375-023-01811-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 11/06/2022] [Accepted: 01/06/2023] [Indexed: 02/17/2023]
Abstract
Myelodysplastic syndromes (MDS) comprise hematological disorders that originate from the neoplastic transformation of hematopoietic stem cells (HSCs). However, discrimination between HSCs and their neoplastic counterparts in MDS-derived bone marrows (MDS-BMs) remains challenging. We hypothesized that in MDS patients immature CD34+CD38- cells with aberrant expression of immunophenotypic markers reflect neoplastic stem cells and that their frequency predicts leukemic progression. We analyzed samples from 68 MDS patients and 53 controls and discriminated HSCs from immunophenotypic aberrant HSCs (IA-HSCs) expressing membrane aberrancies (CD7, CD11b, CD22, CD33, CD44, CD45RA, CD56, CD123, CD366 or CD371). One-third of the MDS-BMs (23/68) contained IA-HSCs. The presence of IA-HSCs correlated with perturbed hematopoiesis (disproportionally expanded CD34+ subsets beside cytopenias) and an increased hazard of leukemic progression (HR = 25, 95% CI: 2.9-218) that was independent of conventional risk factors. At 2 years follow-up, the sensitivity and specificity of presence of IA-HSCs for predicting leukemic progression was 83% (95% CI: 36-99%) and 71% (95% CI: 58-81%), respectively. In a selected cohort (n = 10), most MDS-BMs with IA-HSCs showed genomic complexity and high human blast counts following xenotransplantation into immunodeficient mice, contrasting MDS-BMs without IA-HSCs. This study demonstrates that the presence of IA-HSCs within MDS-BMs predicts leukemic progression, indicating the clinical potential of IA-HSCs as a prognostic biomarker.
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Pessach I, Spyropoulos T, Lamprianidou E, Kotsianidis I. MRD Monitoring by Multiparametric Flow Cytometry in AML: Is It Time to Incorporate Immune Parameters? Cancers (Basel) 2022; 14:cancers14174294. [PMID: 36077826 PMCID: PMC9454571 DOI: 10.3390/cancers14174294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 08/27/2022] [Accepted: 08/29/2022] [Indexed: 12/02/2022] Open
Abstract
Simple Summary Measurable residual disease (MRD) is emerging as an important prognostic and predictive biomarker in acute myeloid leukemia (AML). However, its use is currently hampered by the disparity and lack of harmonization between the available MRD methodologies. In addition, the current assessment of MRD in AML focuses only on the quantification of the residual leukemic burden, without addressing the parallel alterations of the antineoplastic immune response that can critically affect the course and outcome of AML, often despite MRD persistence. Incorporating parameters of immune competence provides more consistency with the biological concept of MRD and may lead to higher accuracy. Multiparameter flow cytometry (MFC) is a highly efficacious and sensitive technology for the thorough and synchronous investigation of the kinetics of both antitumor immunity and the leukemic clone. MFC-based MRD provides the platform for the development of a composite leukemia- and immune-based biomarker which can outcompete the current MRD assessment. Abstract Acute myeloid leukemia (AML) is a heterogeneous group of clonal myeloid disorders characterized by intrinsic molecular variability. Pretreatment cytogenetic and mutational profiles only partially inform prognosis in AML, whereas relapse is driven by residual leukemic clones and mere morphological evaluation is insensitive for relapse prediction. Measurable residual disease (MRD), an independent post-diagnostic prognosticator, has recently been introduced by the European Leukemia Net as a new outcome definition. However, MRD techniques are not yet standardized, thus precluding its use as a surrogate endpoint for survival in clinical trials and MRD-guided strategies in real-life clinical practice. AML resistance and relapse involve a complex interplay between clonal and immune cells, which facilitates the evasion of the leukemic clone and which is not taken into account when merely quantifying the residual leukemia. Multiparameter flow cytometry (MFC) offers the possibility of capturing an overall picture of the above interactions at the single cell level and can simultaneously assess the competence of anticancer immune response and the levels of residual clonal cells. In this review, we focus on the current status of MFC-based MRD in diverse AML treatment settings and introduce a novel perspective of combined immune and leukemia cell profiling for MRD assessment in AML.
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Affiliation(s)
- Ilias Pessach
- Department of Hematology, Athens Medical Center, 11634 Athens, Greece
| | - Theodoros Spyropoulos
- Department of Hematology, University Hospital of Alexandroupolis, Democritus University of Thrace, 69100 Alexandroupolis, Greece
| | - Eleftheria Lamprianidou
- Department of Hematology, University Hospital of Alexandroupolis, Democritus University of Thrace, 69100 Alexandroupolis, Greece
| | - Ioannis Kotsianidis
- Department of Hematology, University Hospital of Alexandroupolis, Democritus University of Thrace, 69100 Alexandroupolis, Greece
- Correspondence: or ; Tel.: +30-25-5103-0320; Fax: +30-25-5107-6154
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5
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An LSC-based MRD assay to complement the traditional MFC method for prediction of AML relapse: a prospective study. Blood 2022; 140:516-520. [PMID: 35613411 DOI: 10.1182/blood.2021014604] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 05/17/2022] [Indexed: 11/20/2022] Open
Abstract
Li et al delineate a novel technique for assessing measurable residual disease (MRD) by the assessment of isolated leukemia stem cells (LSCs). They report that assessment of MRD in LSCs provides a better prediction of outcome than standard multiparameter flow cytometry.
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6
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AML: making residual disease more measurable. Blood 2022; 140:415-417. [PMID: 35925646 DOI: 10.1182/blood.2022017138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/01/2022] [Indexed: 11/20/2022] Open
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7
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Petersen MA, Rosenberg CA, Brøndum RF, Aggerholm A, Kjeldsen E, Rahbek O, Ludvigsen M, Hasle H, Roug AS, Bill M. Immunophenotypically defined stem cell subsets in paediatric AML are highly heterogeneous and demonstrate differences in BCL-2 expression by cytogenetic subgroups. Br J Haematol 2022; 197:452-466. [PMID: 35298835 DOI: 10.1111/bjh.18094] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 02/01/2022] [Accepted: 02/02/2022] [Indexed: 12/11/2022]
Abstract
In adult acute myeloid leukaemia (AML), immunophenotypic differences enable discrimination of leukaemic stem cells (LSCs) from healthy haematopoietic stem cells (HSCs). However, immunophenotypic stem cell characteristics are less explored in paediatric AML. Employing a 15-colour flow cytometry assay, we analysed the expression of eight aberrant surface markers together with BCL-2 on CD34+ CD38- bone marrow stem cells from 38 paediatric AML patients and seven non-leukaemic, age-matched controls. Furthermore, clonality was investigated by genetic analyses of sorted immunophenotypically abnormal stem cells from six patients. A total of 50 aberrant marker positive (non-HSC-like) subsets with 41 different immunophenotypic profiles were detected. CD123, CLEC12A, and IL1RAP were the most frequently expressed markers. IL1RAP, CD93, and CD25 expression were not restricted to stem cells harbouring leukaemia-associated mutations. Differential BCL-2 expression was found among defined cytogenetic subgroups. Interestingly, only immunophenotypically abnormal non-HSC-like subsets demonstrated BCL-2 overexpression. Collectively, we observed pronounced immunophenotypic heterogeneity within the stem cell compartment of paediatric AML patients. Additionally, certain aberrant markers used in adults seemed to be ineligible for detection of leukaemia-representing stem cells in paediatric patients implying that inference from adult studies must be done with caution.
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Affiliation(s)
- Marianne A Petersen
- Paediatrics and Adolescent Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Haematology, Aarhus University Hospital, Aarhus, Denmark
| | - Carina A Rosenberg
- Department of Haematology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Rasmus F Brøndum
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.,Department of Haematology, Aalborg University Hospital, Aalborg, Denmark
| | - Anni Aggerholm
- Department of Haematology, Aarhus University Hospital, Aarhus, Denmark
| | - Eigil Kjeldsen
- Department of Haematology, Aarhus University Hospital, Aarhus, Denmark
| | - Ole Rahbek
- Department of Orthopaedic Surgery, Aalborg University Hospital, Aalborg, Denmark
| | - Maja Ludvigsen
- Department of Haematology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Henrik Hasle
- Paediatrics and Adolescent Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Anne S Roug
- Department of Haematology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Marie Bill
- Department of Haematology, Aarhus University Hospital, Aarhus, Denmark
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8
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Technical Aspects of Flow Cytometry-based Measurable Residual Disease Quantification in Acute Myeloid Leukemia: Experience of the European LeukemiaNet MRD Working Party. Hemasphere 2022; 6:e676. [PMID: 34964040 PMCID: PMC8701786 DOI: 10.1097/hs9.0000000000000676] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/23/2021] [Indexed: 12/12/2022] Open
Abstract
Measurable residual disease (MRD) quantified by multiparameter flow cytometry (MFC) is a strong and independent prognostic factor in acute myeloid leukemia (AML). However, several technical factors may affect the final read-out of the assay. Experts from the MRD Working Party of the European LeukemiaNet evaluated which aspects are crucial for accurate MFC-MRD measurement. Here, we report on the agreement, obtained via a combination of a cross-sectional questionnaire, live discussions, and a Delphi poll. The recommendations consist of several key issues from bone marrow sampling to final laboratory reporting to ensure quality and reproducibility of results. Furthermore, the experiences were tested by comparing two 8-color MRD panels in multiple laboratories. The results presented here underscore the feasibility and the utility of a harmonized theoretical and practical MFC-MRD assessment and are a next step toward further harmonization.
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9
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Heuser M, Freeman SD, Ossenkoppele GJ, Buccisano F, Hourigan CS, Ngai LL, Tettero JM, Bachas C, Baer C, Béné MC, Bücklein V, Czyz A, Denys B, Dillon R, Feuring-Buske M, Guzman ML, Haferlach T, Han L, Herzig JK, Jorgensen JL, Kern W, Konopleva MY, Lacombe F, Libura M, Majchrzak A, Maurillo L, Ofran Y, Philippe J, Plesa A, Preudhomme C, Ravandi F, Roumier C, Subklewe M, Thol F, van de Loosdrecht AA, van der Reijden BA, Venditti A, Wierzbowska A, Valk PJM, Wood BL, Walter RB, Thiede C, Döhner K, Roboz GJ, Cloos J. 2021 Update on MRD in acute myeloid leukemia: a consensus document from the European LeukemiaNet MRD Working Party. Blood 2021; 138:2753-2767. [PMID: 34724563 PMCID: PMC8718623 DOI: 10.1182/blood.2021013626] [Citation(s) in RCA: 270] [Impact Index Per Article: 90.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/15/2021] [Indexed: 11/20/2022] Open
Abstract
Measurable residual disease (MRD) is an important biomarker in acute myeloid leukemia (AML) that is used for prognostic, predictive, monitoring, and efficacy-response assessments. The European LeukemiaNet (ELN) MRD Working Party evaluated standardization and harmonization of MRD in an ongoing manner and has updated the 2018 ELN MRD recommendations based on significant developments in the field. New and revised recommendations were established during in-person and online meetings, and a 2-stage Delphi poll was conducted to optimize consensus. All recommendations are graded by levels of evidence and agreement. Major changes include technical specifications for next-generation sequencing-based MRD testing and integrative assessments of MRD irrespective of technology. Other topics include use of MRD as a prognostic and surrogate end point for drug testing; selection of the technique, material, and appropriate time points for MRD assessment; and clinical implications of MRD assessment. In addition to technical recommendations for flow- and molecular-MRD analysis, we provide MRD thresholds and define MRD response, and detail how MRD results should be reported and combined if several techniques are used. MRD assessment in AML is complex and clinically relevant, and standardized approaches to application, interpretation, technical conduct, and reporting are of critical importance.
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Affiliation(s)
- Michael Heuser
- Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Sylvie D Freeman
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Gert J Ossenkoppele
- Department of Hematology, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Francesco Buccisano
- Department of Biomedicine and Prevention, Hematology, University Tor Vergata, Rome, Italy
| | - Christopher S Hourigan
- Laboratory of Myeloid Malignancy, Hematology Branch, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Lok Lam Ngai
- Department of Hematology, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Jesse M Tettero
- Department of Hematology, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Costa Bachas
- Department of Hematology, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | | | - Marie-Christine Béné
- Department of Hematology and Biology, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Veit Bücklein
- Department of Medicine III, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Anna Czyz
- Department of Hematology, Blood Neoplasms, and Bone Marrow Transplantation, Wrocław Medical University, Wrocław, Poland
| | - Barbara Denys
- Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University
| | - Richard Dillon
- Department of Medical and Molecular Genetics, King's College, London, United Kingdom
| | | | - Monica L Guzman
- Department of Medicine, Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY
| | | | | | - Julia K Herzig
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | | | | | | | - Francis Lacombe
- Hematology Biology, Flow Cytometry, Bordeaux University Hospital, Pessac, France
| | | | - Agata Majchrzak
- Department of Experimental Hematology, Copernicus Memorial Hospital, Lodz, Poland
| | - Luca Maurillo
- Department of Biomedicine and Prevention, Hematology, University Tor Vergata, Rome, Italy
| | - Yishai Ofran
- Department of Hematology, Shaare Zedek Medical Center Faculty of Medicine Hebrew University, Jerusalem Israel
| | - Jan Philippe
- Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University
| | - Adriana Plesa
- Department of Hematology Laboratory, Hospices Civils de Lyon, Centre Hospitalier Lyon Sud, Lyon, France
| | | | | | | | - Marion Subklewe
- Department of Medicine III, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Felicitas Thol
- Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Arjan A van de Loosdrecht
- Department of Hematology, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Bert A van der Reijden
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Adriano Venditti
- Department of Biomedicine and Prevention, Hematology, University Tor Vergata, Rome, Italy
| | | | - Peter J M Valk
- Department of Hematology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Brent L Wood
- Department of Hematopathology, Children's Hospital Los Angeles, CA
| | - Roland B Walter
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Christian Thiede
- Department of Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany; and
- AgenDix GmbH, Dresden, Germany
| | - Konstanze Döhner
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Gail J Roboz
- Department of Medicine, Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY
| | - Jacqueline Cloos
- Department of Hematology, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
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10
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Ngai LL, Kelder A, Janssen JJWM, Ossenkoppele GJ, Cloos J. MRD Tailored Therapy in AML: What We Have Learned So Far. Front Oncol 2021; 10:603636. [PMID: 33575214 PMCID: PMC7871983 DOI: 10.3389/fonc.2020.603636] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 11/16/2020] [Indexed: 12/22/2022] Open
Abstract
Acute myeloid leukemia (AML) is a heterogeneous clonal disease associated with a dismal survival, partly due to the frequent occurrence of relapse. Many patient- and leukemia-specific characteristics, such as age, cytogenetics, mutations, and measurable residual disease (MRD) after intensive chemotherapy, have shown to be valuable prognostic factors. MRD has become a rich field of research where many advances have been made regarding technical, biological, and clinical aspects, which will be the topic of this review. Since many laboratories involved in AML diagnostics have experience in immunophenotyping, multiparameter flow cytometry (MFC) based MRD is currently the most commonly used method. Although molecular, quantitative PCR based techniques may be more sensitive, their disadvantage is that they can only be applied in a subset of patients harboring the genetic aberration. Next-generation sequencing can assess and quantify mutations in many genes but currently does not offer highly sensitive MRD measurements on a routine basis. In order to provide reliable MRD results, MRD assay optimization and standardization is essential. Different techniques for MRD assessment are being evaluated, and combinations of the methods have shown promising results for improving its prognostic value. In this regard, the load of leukemic stem cells (LSC) has also been shown to add to the prognostic value of MFC-MRD. At this moment, MRD after intensive chemotherapy is most often used as a prognostic factor to help stratify patients, but also to select the most appropriate consolidation therapy. For example, to guide post-remission treatment for intermediate-risk patients where MRD positive patients receive allogeneic stem cell transplantation and MRD negative receive autologous stem cell transplantation. Other upcoming uses of MRD that are being investigated include: selecting the type of allogeneic stem cell transplantation therapy (donor, conditioning), monitoring after stem cell transplantation (to allow intervention), and determining drug efficacy for the use of a surrogate endpoint in clinical trials.
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Affiliation(s)
| | | | | | | | - Jacqueline Cloos
- Department of Hematology, Amsterdam UMC, Cancer Center Amsterdam, Vrije Universiteit, Amsterdam, Netherlands
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11
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Palmieri R, Buccisano F, Maurillo L, Del Principe MI, Paterno G, Venditti A, Martinelli G, Cerchione C. Current strategies for detection and approach to measurable residual disease in acute myeloid leukemia. Minerva Med 2020; 111:386-394. [PMID: 32955825 DOI: 10.23736/s0026-4806.20.07016-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Baseline cytogenetic/genetic features have been widely recognized to play a critical prognostic role in acute myeloid leukemia (AML) and have proven useful in designing risk-adapted treatment strategies. Nevertheless, to improve further the outcome of AML patients we are still in need of accurate methods to explore the quality of response and to adequately discriminate patients who are likely to relapse over time from those who are in deep and stable remission. In this view, is it well established that measurement of leukemic cells surviving chemotherapy (called measurable residual disease, MRD) during the course of treatment may be a reliable biomarker in predicting relapse. Detection of MRD relies on highly sensitive techniques, such as quantitative polymerase chain reaction and multiparametric flow cytometry, which, due to their levels of specificity and sensitivity, are increasingly included in the decision-making process of AML treatment. In the present manuscript, we will review the current techniques of MRD investigation and their clinical contribution to AML management.
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Affiliation(s)
- Raffaele Palmieri
- Department of Biomedicine and Prevention, Tor Vergata University, Rome, Italy
| | - Francesco Buccisano
- Department of Biomedicine and Prevention, Tor Vergata University, Rome, Italy -
| | - Luca Maurillo
- Department of Biomedicine and Prevention, Tor Vergata University, Rome, Italy
| | | | | | - Adriano Venditti
- Department of Biomedicine and Prevention, Tor Vergata University, Rome, Italy
| | - Giovanni Martinelli
- Unit of Hematology, IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST), Meldola, Forlì-Cesena, Italy
| | - Claudio Cerchione
- Unit of Hematology, IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST), Meldola, Forlì-Cesena, Italy
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