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Sun Y, Zhu G, Zhong H. Minimal residual disease monitoring in acute myeloid leukemia: Focus on MFC-MRD and treatment guidance for elderly patients. Eur J Haematol 2024; 112:870-878. [PMID: 38342613 DOI: 10.1111/ejh.14187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/25/2024] [Accepted: 01/27/2024] [Indexed: 02/13/2024]
Abstract
Acute myeloid leukemia (AML) is distinguished by clonal growth of myeloid precursor cells, which impairs normal hematopoiesis. Minimal residual disease (MRD) refers to the residual leukemia cells that persist after chemotherapy. Patients who test positive for MRD have a higher likelihood of experiencing a recurrence, regardless of the specific chemotherapy approach used. Multi-parameter flow cytometry (MFC), polymerase chain reaction (PCR), and next-generation sequencing (NGS) are commonly employed techniques for identifying MRD. In the context of AML, patients are frequently monitored for measurable residual disease via multi-parameter flow cytometry (MFC-MRD). In order to explore recent advancements in AML and MRD diagnosis, an extensive search of the PubMed database was conducted, focusing on relevant research in the past 20 years. This review aims to examine various MRD monitoring methods, the optimal time points for assessment, as well as different specimen types used. Additionally, it underscores the significance of MFC-MRD assessment in guiding the treatment of elderly AML.
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Affiliation(s)
- Yue Sun
- Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Gelan Zhu
- Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Hua Zhong
- Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
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2
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Gale RP, Phillips GL, Lazarus HM. A modest proposal to the transplant publik to prevent harm to people with acute myeloid leukaemia in 1st complete remission cured by chemotherapy. Leukemia 2024:10.1038/s41375-024-02214-w. [PMID: 38459165 DOI: 10.1038/s41375-024-02214-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/10/2024]
Affiliation(s)
- R P Gale
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College of Science, Technology and Medicine, London, SW7 2AS, UK.
| | - G L Phillips
- Wake Forest School of Medicine (Emeritus), Winston-Salem, NC, USA
| | - H M Lazarus
- Department of Medicine, Division of Hematology and Oncology, Case Western Reserve University, Cleveland, OH, USA
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3
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Chea M, Rigolot L, Canali A, Vergez F. Minimal Residual Disease in Acute Myeloid Leukemia: Old and New Concepts. Int J Mol Sci 2024; 25:2150. [PMID: 38396825 PMCID: PMC10889505 DOI: 10.3390/ijms25042150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/01/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
Minimal residual disease (MRD) is of major importance in onco-hematology, particularly in acute myeloid leukemia (AML). MRD measures the amount of leukemia cells remaining in a patient after treatment, and is an essential tool for disease monitoring, relapse prognosis, and guiding treatment decisions. Patients with a negative MRD tend to have superior disease-free and overall survival rates. Considerable effort has been made to standardize MRD practices. A variety of techniques, including flow cytometry and molecular methods, are used to assess MRD, each with distinct strengths and weaknesses. MRD is recognized not only as a predictive biomarker, but also as a prognostic tool and marker of treatment efficacy. Expected advances in MRD assessment encompass molecular techniques such as NGS and digital PCR, as well as optimization strategies such as unsupervised flow cytometry analysis and leukemic stem cell monitoring. At present, there is no perfect method for measuring MRD, and significant advances are expected in the future to fully integrate MRD assessment into the management of AML patients.
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Affiliation(s)
- Mathias Chea
- Laboratoire d’Hématologie Biologique, Institut Universitaire du Cancer de Toulouse Oncopole, Centre Hospitalier Universitaire de Toulouse, 31059 Toulouse, France; (M.C.); (L.R.); (A.C.)
| | - Lucie Rigolot
- Laboratoire d’Hématologie Biologique, Institut Universitaire du Cancer de Toulouse Oncopole, Centre Hospitalier Universitaire de Toulouse, 31059 Toulouse, France; (M.C.); (L.R.); (A.C.)
- School of Medicine, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
| | - Alban Canali
- Laboratoire d’Hématologie Biologique, Institut Universitaire du Cancer de Toulouse Oncopole, Centre Hospitalier Universitaire de Toulouse, 31059 Toulouse, France; (M.C.); (L.R.); (A.C.)
- School of Medicine, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
| | - Francois Vergez
- Laboratoire d’Hématologie Biologique, Institut Universitaire du Cancer de Toulouse Oncopole, Centre Hospitalier Universitaire de Toulouse, 31059 Toulouse, France; (M.C.); (L.R.); (A.C.)
- School of Medicine, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
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4
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Nowak J, Witkowska A, Rogatko-Koroś M, Malinowska A, Graczyk-Pol E, Nestorowicz-Kałużna K, Flaga A, Szlendak U, Wnorowska A, Gawron A. Molecular relapse monitoring reveals the domination of impaired NK cell education over impaired inhibition in missing KIR-ligand recognition in patients after unrelated hematopoietic stem cell transplantation for malignant diseases. HLA 2024; 103:e15364. [PMID: 38312022 DOI: 10.1111/tan.15364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/05/2023] [Accepted: 01/18/2024] [Indexed: 02/06/2024]
Abstract
Transplantation of HLA and/or KIR mismatched allogeneic hematopoietic stem cells can lead NK cells to different states of activation/inhibition or education/resetting and change anti-tumor immunosurveillance. In this study, we used molecular relapse monitoring to investigate a correlation between either missing ligand recognition or variation of the cognate iKIR-HLA pairs with clinical outcomes in patients with hematological malignancies requiring allogeneic hematopoietic stem cell transplantation (allo-HSCT). Patients (N = 418) with acute myeloid leukemia (AML), chronic myeloid leukemia (CML), acute lymphoblastic leukemia (ALL), myelodysplastic syndrome (MDS), or lymphoma receiving T-cell repleted graft from HLA-matched or partly mismatched unrelated donors between 2012 and 2020 in our center were included in this study. Missing-ligand recognition was assessed through the presence or absence of recipients' HLA ligand for a particular inhibitory KIR (iKIR) exhibited by the donor. Inhibitory KIR-HLA pair number variation was defined by loss or gain of a new cognate pair of HLA-KIR within the new HLA environment of the recipient, compared with the donor's one. Considering the results of our research, we drew the following conclusions: (i) loss of iKIR-HLA cognate pair for C1, C2, and/or Bw4 groups led to significant deterioration of disease-free survival (DFS), molecular relapse, overall survival (OS) and non-relapse mortality (NRM) for patients undergoing allo-HSCT in the standard phase of the disease. This phenomenon was not observed in patients who underwent transplantation in advanced hematological cancer. (ii) The missing ligand recognition had no impact if the proportion of HLA mismatches was not considered; however, adjustments of HLA mismatch level in the compared groups highlighted the adverse effect of the missing ligand constellation. (iii) The adverse effect of adjusted missing ligand suggests a predominance of lost NK cell education over lost NK cell inhibition in posttransplant recipients' new HLA environment. Our results suggested that donors with the loss of an iKIR-HLA cognate pair after transplantation should be avoided, and donors who provided an additional iKIR-HLA cognate pair should be preferred in the allo-HSCT donor selection process.
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Affiliation(s)
- Jacek Nowak
- Department of Immunogenetics, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Agnieszka Witkowska
- Department of Immunogenetics, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Marta Rogatko-Koroś
- Department of Immunogenetics, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Agnieszka Malinowska
- Department of Immunogenetics, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Elżbieta Graczyk-Pol
- Department of Immunogenetics, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | | | - Anna Flaga
- Department of Immunogenetics, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Urszula Szlendak
- Department of Immunogenetics, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Anna Wnorowska
- Department of Immunogenetics, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Agnieszka Gawron
- Department of Immunogenetics, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
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5
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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6
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Salehi A. A novel therapeutic strategy: the significance of exosomal miRNAs in acute myeloid leukemia. Med Oncol 2024; 41:62. [PMID: 38253748 DOI: 10.1007/s12032-023-02286-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 12/12/2023] [Indexed: 01/24/2024]
Abstract
Acute myeloid leukemia (AML) is a fast-growing blood cancer that interferes with the normal growth of blood cells in the bone marrow and blood. It is characterized by its unpredictable outlook and high death rate. The main treatment for AML is chemotherapy, but this often results in drug resistance and the possibility of the disease returning. For this reason, new biomarkers are necessary to diagnose, predict, and treat this disease. Research has demonstrated that cells responsible for AML release exosomes that interact with the disease's microenvironment. These exosomes have significant roles in promoting leukemia growth, suppressing normal hematopoiesis, facilitating angiogenesis, and contributing to drug resistance in AML. Further investigations have shown that these exosomes contain miRNAs, which are transferred to target cells and have functional roles. Biomarkers are utilized to assess various aspects of tumor cell behavior, including proliferation, apoptosis, angiogenesis, changes in the microenvironment, transfer of drug resistance, and stability in serum and blood plasma. In this research, we showed that exosomal miRNAs and exosomes have the potential to be used as indicators for detecting various phases of AML and can aid in its medical treatment. Furthermore, they can be specifically targeted for therapeutic purposes in addressing this condition.
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Affiliation(s)
- Ali Salehi
- Department of Cellular and Molecular Biology, Faculty of New Science and Technology, Tehran Medical Branch, Islamic Azad University, Tehran, Iran.
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7
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Zaliova M, Zuna J, Winkowska L, Janotova I, Skorepova J, Lukes J, Meyer C, Marschalek R, Novak Z, Domansky J, Stary J, Sramkova L, Trka J. Genomic DNA-based measurable residual disease monitoring in pediatric acute myeloid leukemia: unselected consecutive cohort study. Leukemia 2024; 38:21-30. [PMID: 38001170 PMCID: PMC10776399 DOI: 10.1038/s41375-023-02083-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/24/2023] [Accepted: 11/07/2023] [Indexed: 11/26/2023]
Abstract
Measurable residual disease (MRD) monitoring in childhood acute myeloid leukemia (AML) is used to assess response to treatment and for early detection of imminent relapse. In childhood AML, MRD is typically evaluated using flow cytometry, or by quantitative detection of leukemia-specific aberrations at the mRNA level. Both methods, however, have significant limitations. Recently, we demonstrated the feasibility of MRD monitoring in selected subgroups of AML at the genomic DNA (gDNA) level. To evaluate the potential of gDNA-based MRD monitoring across all AML subtypes, we conducted a comprehensive analysis involving 133 consecutively diagnosed children. Integrating next-generation sequencing into the diagnostic process, we identified (presumed) primary genetic aberrations suitable as MRD targets in 97% of patients. We developed patient-specific quantification assays and monitored MRD in 122 children. The gDNA-based MRD monitoring via quantification of primary aberrations with a sensitivity of at least 10-4 was possible in 86% of patients; via quantification with sensitivity of 5 × 10-4, of secondary aberrations, or at the mRNA level in an additional 8%. Importantly, gDNA-based MRD exhibited independent prognostic value at early time-points in patients stratified to intermediate-/high-risk treatment arms. Our study demonstrates the broad applicability, feasibility, and clinical significance of gDNA-based MRD monitoring in childhood AML.
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Affiliation(s)
- Marketa Zaliova
- CLIP (Childhood Leukaemia Investigation Prague), Prague, Czech Republic.
- Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.
- University Hospital Motol, Prague, Czech Republic.
| | - Jan Zuna
- CLIP (Childhood Leukaemia Investigation Prague), Prague, Czech Republic
- Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
- University Hospital Motol, Prague, Czech Republic
| | - Lucie Winkowska
- CLIP (Childhood Leukaemia Investigation Prague), Prague, Czech Republic
- Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
- University Hospital Motol, Prague, Czech Republic
| | | | - Justina Skorepova
- CLIP (Childhood Leukaemia Investigation Prague), Prague, Czech Republic
- Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
- University Hospital Motol, Prague, Czech Republic
| | - Julius Lukes
- CLIP (Childhood Leukaemia Investigation Prague), Prague, Czech Republic
- Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Claus Meyer
- Institute of Pharmaceutical Biology/Diagnostic Center of Acute Leukemia (DCAL), Goethe-University, Frankfurt am Main, Germany
| | - Rolf Marschalek
- Institute of Pharmaceutical Biology/Diagnostic Center of Acute Leukemia (DCAL), Goethe-University, Frankfurt am Main, Germany
| | - Zbynek Novak
- Department of Pediatrics, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Jiri Domansky
- Pediatric Oncology Department, University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jan Stary
- Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
- University Hospital Motol, Prague, Czech Republic
| | - Lucie Sramkova
- CLIP (Childhood Leukaemia Investigation Prague), Prague, Czech Republic
- Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
- University Hospital Motol, Prague, Czech Republic
| | - Jan Trka
- CLIP (Childhood Leukaemia Investigation Prague), Prague, Czech Republic.
- Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.
- University Hospital Motol, Prague, Czech Republic.
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8
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Walter RB. Perspective on measurable residual disease testing in acute myeloid leukemia. Leukemia 2024; 38:10-13. [PMID: 37973819 DOI: 10.1038/s41375-023-02084-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 10/24/2023] [Accepted: 11/07/2023] [Indexed: 11/19/2023]
Affiliation(s)
- Roland B Walter
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Department of Medicine, Division of Hematology and Oncology, University of Washington, Seattle, WA, USA.
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
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9
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Young AL, Davis HC, Challen GA. Droplet Digital PCR for Oncogenic KMT2A Fusion Detection. J Mol Diagn 2023; 25:898-906. [PMID: 37813299 PMCID: PMC10851777 DOI: 10.1016/j.jmoldx.2023.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/30/2023] [Accepted: 09/13/2023] [Indexed: 10/11/2023] Open
Abstract
Acute myeloid leukemia (AML) is an aggressive blood cancer diagnosed in approximately 120,000 individuals worldwide each year. During treatment for AML, detecting residual disease is essential for prognostication and treatment decision-making. Currently, methods for detecting residual AML are limited to identifying approximately 1:100 to 1:1000 leukemic cells (morphology and DNA sequencing) or are difficult to implement (flow cytometry). AML arising after chemotherapy or radiation exposure is termed therapy-related AML (t-AML) and is exceptionally aggressive and treatment resistant. t-AML is often driven by oncogenic fusions that result from prior treatments that introduce double-strand DNA breaks. The most common t-AML-associated translocations affect KMT2A. There are at least 80 known KMT2A fusion partners, but approximately 80% of fusions involve only five partners-AF9, AF6, AF4, ELL, and ENL. We present a novel droplet digital PCR assay targeting the most common KMT2A-rearrangements to enable detection of rare AML cells harboring these fusions. This assay was benchmarked in cell lines and patient samples harboring oncogenic KMT2A fusions and demonstrated a limit of detection of approximately 1:1,000,000 cells. Future application of this assay could improve disease detection and treatment decision-making for patients with t-AML with KMT2A fusions and premalignant oncogenic fusion detection in at-risk individuals after chemotherapy exposure.
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Affiliation(s)
- Andrew L Young
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Hannah C Davis
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Grant A Challen
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
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Feng Y, Qi S, Liu X, Zhang L, Hu Y, Shen Q, Gong X, Zhang W, Wang J, Yan W, Wang T, Wang H, Song Z, Zhu X, Gale RP, Chen J. Have we been qualifying measurable residual disease correctly? Leukemia 2023; 37:2168-2172. [PMID: 37704711 PMCID: PMC10624632 DOI: 10.1038/s41375-023-02026-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/30/2023] [Accepted: 09/05/2023] [Indexed: 09/15/2023]
Affiliation(s)
- Yahui Feng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Saibing Qi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xueou Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Li Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yu Hu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Qiujin Shen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiaowen Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Wei Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Junxia Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Wen Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Tiantian Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Huijun Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Zhen Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiaofan Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Tianjin Institutes of Health Science, Tianjin, China.
| | - Robert Peter Gale
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College of Science, Technology and Medicine, London, UK
| | - Junren Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Tianjin Institutes of Health Science, Tianjin, China.
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11
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Zhao J, Reuther J, Scozzaro K, Hawley M, Metzger E, Emery M, Chen I, Barbosa M, Johnson L, O'Connor A, Washburn M, Hartje L, Reckase E, Johnson V, Zhang Y, Westheimer E, O'Callaghan W, Malani N, Chesh A, Moreau M, Daber R. Personalized Cancer Monitoring Assay for the Detection of ctDNA in Patients with Solid Tumors. Mol Diagn Ther 2023; 27:753-768. [PMID: 37632661 PMCID: PMC10590345 DOI: 10.1007/s40291-023-00670-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/27/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND Highly sensitive molecular assays have been developed to detect plasma-based circulating tumor DNA (ctDNA), and emerging evidence suggests their clinical utility for monitoring minimal residual disease and recurrent disease, providing prognostic information, and monitoring therapy responses in patients with solid tumors. The Invitae Personalized Cancer Monitoring™ assay uses a patient-specific, tumor-informed variant signature identified through whole exome sequencing to detect ctDNA in peripheral blood of patients with solid tumors. METHODS The assay's tumor whole exome sequencing and ctDNA detection components were analytically validated using 250 unique human specimens and nine commercial reference samples that generated 1349 whole exome sequencing and cell-free DNA (cfDNA)-derived libraries. A comparison of tumor and germline whole exome sequencing was used to identify patient-specific tumor variant signatures and generate patient-specific panels, followed by targeted next-generation sequencing of plasma-derived cfDNA using the patient-specific panels with anchored multiplex polymerase chain reaction chemistry leveraging unique molecular identifiers. RESULTS Whole exome sequencing resulted in overall sensitivity of 99.8% and specificity of > 99.9%. Patient-specific panels were successfully designed for all 63 samples (100%) with ≥ 20% tumor content and 24 (80%) of 30 samples with ≥ 10% tumor content. Limit of blank studies using 30 histologically normal, formalin-fixed paraffin-embedded specimens resulted in 100% expected panel design failure. The ctDNA detection component demonstrated specificity of > 99.9% and sensitivity of 96.3% for a combination of 10 ng of cfDNA input, 0.008% allele frequency, 50 variants on the patient-specific panels, and a baseline threshold. Limit of detection ranged from 0.008% allele frequency when utilizing 60 ng of cfDNA input with 18-50 variants in the patient-specific panels (> 99.9% sensitivity) with a baseline threshold, to 0.05% allele frequency when using 10 ng of cfDNA input with an 18-variant panel with a monitoring threshold (> 99.9% sensitivity). CONCLUSIONS The Invitae Personalized Cancer Monitoring assay, featuring a flexible patient-specific panel design with 18-50 variants, demonstrated high sensitivity and specificity for detecting ctDNA at variant allele frequencies as low as 0.008%. This assay may support patient prognostic stratification, provide real-time data on therapy responses, and enable early detection of residual/recurrent disease.
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Affiliation(s)
- Jianhua Zhao
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA.
| | | | - Kaylee Scozzaro
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | - Megan Hawley
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | - Emily Metzger
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | - Matthew Emery
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | - Ingrid Chen
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | | | - Laura Johnson
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
- Affiliated with Invitae Corp. at the time of the study, currently employees at Integrated DNA Technologies, 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Alijah O'Connor
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | - Mike Washburn
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
- Affiliated with Invitae Corp. at the time of the study, currently employees at Integrated DNA Technologies, 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Luke Hartje
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
- Affiliated with Invitae Corp. at the time of the study, currently employees at Integrated DNA Technologies, 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Erik Reckase
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
- Affiliated with Invitae Corp. at the time of the study, currently employees at Integrated DNA Technologies, 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Verity Johnson
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
- Affiliated with Invitae Corp. at the time of the study, currently employees at Integrated DNA Technologies, 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Yuhua Zhang
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | | | | | - Nirav Malani
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | - Adrian Chesh
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | - Michael Moreau
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
| | - Robert Daber
- Invitae Corp., 1400 16th Street, San Francisco, CA, 94103, USA
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12
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Kanaan SB, Urselli F, Radich JP, Nelson JL. Ultrasensitive chimerism enhances measurable residual disease testing after allogeneic hematopoietic cell transplantation. Blood Adv 2023; 7:6066-6079. [PMID: 37467017 PMCID: PMC10582300 DOI: 10.1182/bloodadvances.2023010332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/15/2023] [Accepted: 07/12/2023] [Indexed: 07/20/2023] Open
Abstract
Increasing mixed chimerism (reemerging recipient cells) after allogeneic hematopoietic cell transplant (allo-HCT) can indicate relapse, the leading factor determining mortality in blood malignancies. Most clinical chimerism tests have limited sensitivity and are primarily designed to monitor engraftment. We developed a panel of quantitative polymerase chain reaction assays using TaqMan chemistry capable of quantifying chimerism in the order of 1 in a million. At such analytic sensitivity, we hypothesized that it could inform on relapse risk. As a proof-of-concept, we applied our panel to a retrospective cohort of patients with acute leukemia who underwent allo-HCT with known outcomes. Recipient cells in bone marrow aspirates (BMAs) remained detectable in 97.8% of tested samples. Absolute recipient chimerism proportions and rates at which these proportions increased in BMAs in the first 540 days after allo-HCT were associated with relapse. Detectable measurable residual disease (MRD) via flow cytometry in BMAs after allo-HCT showed limited correlation with relapse. This correlation noticeably strengthened when combined with increased recipient chimerism in BMAs, demonstrating the ability of our ultrasensitive chimerism assay to augment MRD data. Our technology reveals an underappreciated usefulness of clinical chimerism. Used side by side with MRD assays, it promises to improve identification of patients with the highest risk of disease reoccurrence for a chance of early intervention.
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Affiliation(s)
- Sami B. Kanaan
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Research and Development, Chimerocyte Inc, Seattle, WA
| | - Francesca Urselli
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Jerald P. Radich
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - J. Lee Nelson
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Research and Development, Chimerocyte Inc, Seattle, WA
- Division of Rheumatology, Department of Medicine, University of Washington, Seattle, WA
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13
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Robinson TM, Bowman RL, Persaud S, Liu Y, Neigenfind R, Gao Q, Zhang J, Sun X, Miles LA, Cai SF, Sciambi A, Llanso A, Famulare C, Goldberg A, Dogan A, Roshal M, Levine RL, Xiao W. Single-cell genotypic and phenotypic analysis of measurable residual disease in acute myeloid leukemia. Sci Adv 2023; 9:eadg0488. [PMID: 37729414 PMCID: PMC10881057 DOI: 10.1126/sciadv.adg0488] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 07/21/2023] [Indexed: 09/22/2023]
Abstract
Measurable residual disease (MRD), defined as the population of cancer cells that persist following therapy, serves as the critical reservoir for disease relapse in acute myeloid leukemia and other malignancies. Understanding the biology enabling MRD clones to resist therapy is necessary to guide the development of more effective curative treatments. Discriminating between residual leukemic clones, preleukemic clones, and normal precursors remains a challenge with current MRD tools. Here, we developed a single-cell MRD (scMRD) assay by combining flow cytometric enrichment of the targeted precursor/blast population with integrated single-cell DNA sequencing and immunophenotyping. Our scMRD assay shows high sensitivity of approximately 0.01%, deconvolutes clonal architecture, and provides clone-specific immunophenotypic data. In summary, our scMRD assay enhances MRD detection and simultaneously illuminates the clonal architecture of clonal hematopoiesis/preleukemic and leukemic cells surviving acute myeloid leukemia therapy.
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Affiliation(s)
- Troy M. Robinson
- Human Oncology and Pathogenesis Program, Molecular Cancer Medicine Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert L. Bowman
- Human Oncology and Pathogenesis Program, Molecular Cancer Medicine Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sonali Persaud
- Human Oncology and Pathogenesis Program, Molecular Cancer Medicine Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ying Liu
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Molecular Diagnostic Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rosemary Neigenfind
- Human Oncology and Pathogenesis Program, Molecular Cancer Medicine Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Qi Gao
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jingping Zhang
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xiaotian Sun
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Linde A. Miles
- Human Oncology and Pathogenesis Program, Molecular Cancer Medicine Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sheng F. Cai
- Human Oncology and Pathogenesis Program, Molecular Cancer Medicine Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Christopher Famulare
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Aaron Goldberg
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mikhail Roshal
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ross L. Levine
- Human Oncology and Pathogenesis Program, Molecular Cancer Medicine Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wenbin Xiao
- Human Oncology and Pathogenesis Program, Molecular Cancer Medicine Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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14
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Rosli AA, Azlan A, Rajasegaran Y, Mot YY, Heidenreich O, Yusoff NM, Moses EJ. Cytogenetics analysis as the central point of genetic testing in acute myeloid leukemia (AML): a laboratory perspective for clinical applications. Clin Exp Med 2023; 23:1137-1159. [PMID: 36229751 DOI: 10.1007/s10238-022-00913-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 10/02/2022] [Indexed: 11/27/2022]
Abstract
Chromosomal abnormalities in acute myeloid leukemia (AML) have significantly contributed to scientific understanding of its molecular pathogenesis, which has aided in the development of therapeutic strategies and enhanced management of AML patients. The diagnosis, prognosis and treatment of AML have also rapidly transformed in recent years, improving initial response to treatment, remission rates, risk stratification and overall survival. Hundreds of rare chromosomal abnormalities in AML have been discovered thus far using chromosomal analysis and next-generation sequencing. As a result, the World Health Organization (WHO) has categorized AML into subgroups based on genetic, genomic and molecular characteristics, to complement the existing French-American classification which is solely based on morphology. In this review, we aim to highlight the most clinically relevant chromosomal aberrations in AML together with the technologies employed to detect these aberrations in laboratory settings.
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Affiliation(s)
- Aliaa Arina Rosli
- Department of Biomedical Science, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia
| | - Adam Azlan
- Department of Biomedical Science, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia
| | - Yaashini Rajasegaran
- Department of Biomedical Science, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia
| | - Yee Yik Mot
- Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia
| | - Olaf Heidenreich
- Prinses Máxima Centrum Voor Kinderoncologie, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
| | - Narazah Mohd Yusoff
- Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia
| | - Emmanuel Jairaj Moses
- Department of Biomedical Science, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia.
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15
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Yu Z, Xie L, Zhang J, Lin H, Niu T. The evolution of minimal residual disease: key insights based on a bibliometric visualization analysis from 2002 to 2022. Front Oncol 2023; 13:1186198. [PMID: 37534257 PMCID: PMC10391156 DOI: 10.3389/fonc.2023.1186198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/15/2023] [Indexed: 08/04/2023] Open
Abstract
Background The topic of minimal residual disease (MRD) has emerged as a crucial subject matter in the domain of oncology in recent years. The detection and monitoring of MRD have become essential for the diagnosis, treatment, and prognosis of various types of malignancy. Aims The purpose of this study is to explore the research trends, hotspots, and frontiers of MRD in the last two decades through bibliometric analysis. Methods We employed Web of Science databases to carry out a bibliometric visualization analysis of research on 8,913 academic papers about MRD research from 2002 to 2022. VOSviewer, CiteSpace, RStudio, and a bibliometric online analysis platform were mainly used to conduct co-occurrence analysis and cooperative relationship analysis of countries/regions, institutions, journals, and authors in the literature. Furthermore, co-occurrence, co-citation, and burst analyses of keyword and reference were also conducted to generate relevant knowledge maps. Results In the past 20 years, the number of MRD research papers has presented an overall rising trend, going through three stages: a plateau, development, and an explosion. The output of articles in the United States was notably superior and plays a dominant role in this field, and the Netherlands had the highest average citation per article. The most productive and influential institution was the University of Texas MD Anderson Cancer Center. Blood published the most papers and was the most cited journal. A collection of leading academics has come to the fore in the research field, the most prolific of which is Kantarjian HM. It was found that the application of MRD in "acute myeloid leukemia", "acute lymphoblastic leukemia", "multiple myeloma", as well as the detection technology of MRD, are the research hotspots and frontiers in this domain. Furthermore, we analyzed the co-citation network of references and found that the top 10 co-cited references were all associated with MRD in hematological malignancies. Conclusion This bibliometric visualization analysis conducted a thorough exploration into the research hotspots and trends in MRD from 2002 to 2022. Our findings can aid researchers in recognizing possible collaborations, guiding future research directions, and fostering the growth of MRD detection and monitoring technologies.
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Affiliation(s)
- Zhengyu Yu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Li Xie
- State Key Laboratory of Wildlife Quarantine and Surveillance (Sichuan), Technology Center of Chengdu Customs, Chengdu, China
| | - Jing Zhang
- State Key Laboratory of Wildlife Quarantine and Surveillance (Sichuan), Technology Center of Chengdu Customs, Chengdu, China
| | - Hua Lin
- State Key Laboratory of Wildlife Quarantine and Surveillance (Sichuan), Technology Center of Chengdu Customs, Chengdu, China
| | - Ting Niu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
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16
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Wong ZC, Dillon LW, Hourigan CS. Measurable residual disease in patients undergoing allogeneic transplant for acute myeloid leukemia. Best Pract Res Clin Haematol 2023; 36:101468. [PMID: 37353292 PMCID: PMC10291441 DOI: 10.1016/j.beha.2023.101468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 04/11/2023] [Indexed: 06/25/2023]
Abstract
The most common indication for allogeneic hematopoietic cell transplant (alloHCT) is maintenance of remission after initial treatment for patients with acute myeloid leukemia (AML). Loss of remission, relapse, remains however the most frequent cause of alloHCT failure. There is strong evidence that detectable persistent disease burden ("measurable residual disease", MRD) in patients with AML in remission prior to alloHCT is associated with increased risk of post-transplant relapse. MRD status as a summative assessment of response to pre-transplant therapy may allow superior patient-personalized risk stratification compared with models solely incorporating pre-treatment variables. An optimal methodology for AML MRD detection has not yet been established, but molecular methods such as DNA-sequencing may have additional prognostic utility compared to current approaches. There is growing evidence that intervention on AML MRD positivity may improve post-transplant outcomes. New initiatives will generate actionable data on the clinical utility of AML MRD testing for patients undergoing alloHCT.
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Affiliation(s)
- Zoë C Wong
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Myeloid Malignancies Program, National Institutes of Health, Bethesda, MD, USA
| | - Laura W Dillon
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Myeloid Malignancies Program, National Institutes of Health, Bethesda, MD, USA
| | - Christopher S Hourigan
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Myeloid Malignancies Program, National Institutes of Health, Bethesda, MD, USA.
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17
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Srinivasan Rajsri K, Roy N, Chakraborty S. Acute Myeloid Leukemia Stem Cells in Minimal/Measurable Residual Disease Detection. Cancers (Basel) 2023; 15:2866. [PMID: 37345204 PMCID: PMC10216329 DOI: 10.3390/cancers15102866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/14/2023] [Accepted: 05/17/2023] [Indexed: 06/23/2023] Open
Abstract
Acute myeloid leukemia (AML) is a hematological malignancy characterized by an abundance of incompletely matured or immature clonally derived hematopoietic precursors called leukemic blasts. Rare leukemia stem cells (LSCs) that can self-renew as well as give rise to leukemic progenitors comprising the bulk of leukemic blasts are considered the cellular reservoir of disease initiation and maintenance. LSCs are widely thought to be relatively resistant as well as adaptive to chemotherapy and can cause disease relapse. Therefore, it is imperative to understand the molecular bases of LSC forms and functions during different stages of disease progression, so we can more accurately identify these cells and design therapies to target them. Irrespective of the morphological, cytogenetic, and cellular heterogeneity of AML, the uniform, singularly important and independently significant prognosticator of disease response to therapy and patient outcome is measurable or minimal residual disease (MRD) detection, defined by residual disease detection below the morphology-based 5% blast threshold. The importance of LSC identification and frequency estimation during MRD detection, in order to make MRD more effective in predicting disease relapse and modifying therapeutic regimen is becoming increasingly apparent. This review focuses on summarizing functional and cellular composition-based LSC identification and linking those studies to current techniques of MRD detection to suggest LSC-inclusive MRD detection as well as outline outstanding questions that need to be addressed to improve the future of AML clinical management and treatment outcomes.
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Affiliation(s)
- Kritika Srinivasan Rajsri
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA; (K.S.R.); (N.R.)
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, NY 10010, USA
| | - Nainita Roy
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA; (K.S.R.); (N.R.)
| | - Sohini Chakraborty
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA; (K.S.R.); (N.R.)
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18
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Ogbue O, Unlu S, Ibodeng GO, Singh A, Durmaz A, Visconte V, Molina JC. Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives. Cancers (Basel) 2023; 15:cancers15092477. [PMID: 37173944 PMCID: PMC10177286 DOI: 10.3390/cancers15092477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 04/22/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
Acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) are genetically complex and diverse diseases. Such complexity makes challenging the monitoring of response to treatment. Measurable residual disease (MRD) assessment is a powerful tool for monitoring response and guiding therapeutic interventions. This is accomplished through targeted next-generation sequencing (NGS), as well as polymerase chain reaction and multiparameter flow cytometry, to detect genomic aberrations at a previously challenging leukemic cell concentration. A major shortcoming of NGS techniques is the inability to discriminate nonleukemic clonal hematopoiesis. In addition, risk assessment and prognostication become more complicated after hematopoietic stem-cell transplantation (HSCT) due to genotypic drift. To address this, newer sequencing techniques have been developed, leading to more prospective and randomized clinical trials aiming to demonstrate the prognostic utility of single-cell next-generation sequencing in predicting patient outcomes following HSCT. This review discusses the use of single-cell DNA genomics in MRD assessment for AML/MDS, with an emphasis on the HSCT time period, including the challenges with current technologies. We also touch on the potential benefits of single-cell RNA sequencing and analysis of accessible chromatin, which generate high-dimensional data at the cellular resolution for investigational purposes, but not currently used in the clinical setting.
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Affiliation(s)
- Olisaemeka Ogbue
- Internal Medicine, Cleveland Clinic Fairview Hospital, Cleveland, OH 44111, USA
| | - Serhan Unlu
- Internal Medicine, Cleveland Clinic Fairview Hospital, Cleveland, OH 44111, USA
| | - Gogo-Ogute Ibodeng
- Internal Medicine, Infirmary Health's Thomas Hospital, Fairhope, AL 36607, USA
| | - Abhay Singh
- Department of Hematology Medical Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH 44106, USA
| | - Arda Durmaz
- Department of Translational Hematology and Oncology Research, Cleveland Clinic Taussig Cancer Center, Cleveland, OH 44106, USA
| | - Valeria Visconte
- Department of Translational Hematology and Oncology Research, Cleveland Clinic Taussig Cancer Center, Cleveland, OH 44106, USA
| | - John C Molina
- Department of Hematology Medical Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH 44106, USA
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19
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Walter RB, Sandmaier BM, Othus M, Orvain C, Rodríguez-Arbolí E, Oshima MU, Schoch G, Davis C, Joachim Deeg H, Storb R. Comparison of reduced intensity and nonmyeloablative conditioning for adults with acute myeloid leukemia undergoing allogeneic hematopoietic cell transplantation in first or second remission. Bone Marrow Transplant 2023; 58:377-385. [PMID: 36577856 PMCID: PMC10170527 DOI: 10.1038/s41409-022-01909-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 12/29/2022]
Abstract
Reduced intensity conditioning (RIC) and nonmyeloablative (NMA) conditioning regimens have expanded use of allogeneic hematopoietic cell transplantation (HCT) in AML to include older and medically less-fit patients, but relative efficacies and toxicities remain poorly defined. Here, we analyzed outcomes from 343 adults transplanted in remission after RIC (n = 137) or NMA (n = 206) conditioning between 2006 and 2021. The characteristics of RIC and NMA HCT patients were similar except that RIC patients were younger and their time between most recent remission achievement and allografting was shorter. There were no significant differences in relapse risk, relapse-free survival (RFS), overall survival (OS), and non-relapse mortality (NRM) between RIC and NMA HCT patients, both overall (relapse: hazard ratio [HR] = 0.80, P = 0.27; RFS: HR = 0.93, P = 0.61; OS: HR = 0.93, P = 0.66; NRM: HR = 1.13, P = 0.59) and when patients were stratified by pre-HCT measurable residual disease (MRD) status. After multivariable adjustment, there was no statistically significant association between conditioning intensity and relapse (HR = 0.69, P = 0.088), RFS (HR = 0.86, P = 0.37), OS (HR = 0.89, P = 0.49), or NRM (HR = 1.37, P = 0.19). In this non-randomized cohort of adults undergoing allografting for AML in first or second remission at our center, we could not detect statistically significant differences in outcomes between those assigned to RIC and those assigned to NMA conditioning.
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Affiliation(s)
- Roland B Walter
- Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Department of Medicine, Division of Hematology, University of Washington, Seattle, WA, USA.
- Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
| | - Brenda M Sandmaier
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA, USA
| | - Megan Othus
- Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Corentin Orvain
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Medicine, Division of Hematology, University of Washington, Seattle, WA, USA
| | | | - Masumi U Oshima
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA, USA
| | - Gary Schoch
- Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Chris Davis
- Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - H Joachim Deeg
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA, USA
| | - Rainer Storb
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA, USA
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20
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Dillon LW, Gui G, Page KM, Ravindra N, Wong ZC, Andrew G, Mukherjee D, Zeger SL, El Chaer F, Spellman S, Howard A, Chen K, Auletta J, Devine SM, Jimenez Jimenez AM, De Lima MJG, Litzow MR, Kebriaei P, Saber W, Weisdorf DJ, Hourigan CS. DNA Sequencing to Detect Residual Disease in Adults With Acute Myeloid Leukemia Prior to Hematopoietic Cell Transplant. JAMA 2023; 329:745-755. [PMID: 36881031 PMCID: PMC9993183 DOI: 10.1001/jama.2023.1363] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/28/2023] [Indexed: 03/08/2023]
Abstract
Importance Preventing relapse for adults with acute myeloid leukemia (AML) in first remission is the most common indication for allogeneic hematopoietic cell transplant. The presence of AML measurable residual disease (MRD) has been associated with higher relapse rates, but testing is not standardized. Objective To determine whether DNA sequencing to identify residual variants in the blood of adults with AML in first remission before allogeneic hematopoietic cell transplant identifies patients at increased risk of relapse and poorer overall survival compared with those without these DNA variants. Design, Setting, and Participants In this retrospective observational study, DNA sequencing was performed on pretransplant blood from patients aged 18 years or older who had undergone their first allogeneic hematopoietic cell transplant during first remission for AML associated with variants in FLT3, NPM1, IDH1, IDH2, or KIT at 1 of 111 treatment sites from 2013 through 2019. Clinical data were collected, through May 2022, by the Center for International Blood and Marrow Transplant Research. Exposure Centralized DNA sequencing of banked pretransplant remission blood samples. Main Outcomes and Measures The primary outcomes were overall survival and relapse. Day of transplant was considered day 0. Hazard ratios were reported using Cox proportional hazards regression models. Results Of 1075 patients tested, 822 had FLT3 internal tandem duplication (FLT3-ITD) and/or NPM1 mutated AML (median age, 57.1 years, 54% female). Among 371 patients in the discovery cohort, the persistence of NPM1 and/or FLT3-ITD variants in the blood of 64 patients (17.3%) in remission before undergoing transplant was associated with worse outcomes after transplant (2013-2017). Similarly, of the 451 patients in the validation cohort who had undergone transplant in 2018-2019, 78 patients (17.3%) with residual NPM1 and/or FLT3-ITD variants had higher rates of relapse at 3 years (68% vs 21%; difference, 47% [95% CI, 26% to 69%]; HR, 4.32 [95% CI, 2.98 to 6.26]; P < .001) and decreased survival at 3 years (39% vs 63%; difference, -24% [2-sided 95% CI, -39% to -9%]; HR, 2.43 [95% CI, 1.71 to 3.45]; P < .001). Conclusions and Relevance Among patients with acute myeloid leukemia in first remission prior to allogeneic hematopoietic cell transplant, the persistence of FLT3 internal tandem duplication or NPM1 variants in the blood at an allele fraction of 0.01% or higher was associated with increased relapse and worse survival compared with those without these variants. Further study is needed to determine whether routine DNA-sequencing testing for residual variants can improve outcomes for patients with acute myeloid leukemia.
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MESH Headings
- Female
- Humans
- Male
- Middle Aged
- Hematopoietic Stem Cell Transplantation
- Leukemia, Myeloid, Acute/blood
- Leukemia, Myeloid, Acute/diagnosis
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/therapy
- Neoplasm, Residual/blood
- Neoplasm, Residual/diagnosis
- Neoplasm, Residual/genetics
- Nuclear Proteins/genetics
- Preoperative Care
- Retrospective Studies
- Sequence Analysis, DNA
- Recurrence
- Survival Analysis
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Affiliation(s)
- Laura W. Dillon
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Gege Gui
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kristin M. Page
- Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota
- Medical College of Wisconsin, Milwaukee
| | - Niveditha Ravindra
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Zoë C. Wong
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Georgia Andrew
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Devdeep Mukherjee
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Scott L. Zeger
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Stephen Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota
- National Marrow Donor Program, Minneapolis, Minnesota
| | - Alan Howard
- Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota
- National Marrow Donor Program, Minneapolis, Minnesota
| | - Karen Chen
- National Marrow Donor Program, Minneapolis, Minnesota
| | - Jeffery Auletta
- Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota
- The Ohio State University College of Medicine, Columbus
| | - Steven M. Devine
- Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota
| | | | | | | | | | - Wael Saber
- Medical College of Wisconsin, Milwaukee
- National Marrow Donor Program, Minneapolis, Minnesota
| | - Daniel J. Weisdorf
- Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota
- University of Minnesota, Minneapolis
| | - Christopher S. Hourigan
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Myeloid Malignancies Program, National Institutes of Health, Bethesda, Maryland
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21
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Singh N, Gupta A, Kumar S, Mawalankar G, Gupta B, Dhole N, Kori R, Singh A. Flow cytometric measurable residual disease in adult acute myeloid leukemia: a preliminary report from Eastern India. J Hematop 2023; 16:17-25. [PMID: 38175369 DOI: 10.1007/s12308-022-00527-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Presence of measurable residual disease (MRD) in acute myeloid leukemia (AML) is considered to be an independent predictor of relapse and poorer survival outcomes. MRD can be measured by flow cytometric, quantitative PCR, and NGS-based assays at varying sensitivities. There is scant Indian data on different aspects of MFC-MRD in AML including analysis strategies as well as molecular spectrum, clinical correlation, etc. This retrospective observational study included all newly diagnosed patients of acute myeloid leukemia in whom complete baseline diagnostic workup was available including flow cytometry and cytogenetic and molecular studies. Among patients with cytogenetic abnormalities (n = 25), no statistically significant correlation was observed between flow cytometric MRD positivity and presence of ≥ 3 mutations as well as relapsed disease. However, in AML patients with normal karyotype (n = 32), MRD positivity correlated strongly with relapsed status (p = 0.02), although no significant correlation was found with respect to FLT3 mutation, IDH mutation, NPM1 mutation, or complex genotype. Interestingly, 90.5% of MRD-positive patients belonged to ELN (2017) intermediate to high-risk category unlike only 9.5% in the good risk category (p = 0.0002). Median relapse-free survival was 8.5 months with a follow-up range of 3-24 months. On the basis of the observations of the present study, it can be clearly inferred that MRD status affects relapse status in the normal karyotype subgroup and can delineate patients who require stem cell transplantation in addition to molecular signatures.
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Affiliation(s)
- Neha Singh
- Hematopathology, Tata Memorial Center, Varanasi, India.
| | - Avinash Gupta
- Hematopathology, Tata Memorial Center, Varanasi, India
| | - Sujeet Kumar
- Adult Hematolymphoid Unit, Tata Memorial Center, Varanasi, India
| | | | - Bhumika Gupta
- Hematopathology, Tata Memorial Center, Varanasi, India
| | - Nilesh Dhole
- Hematopathology, Tata Memorial Center, Varanasi, India
| | | | - Anil Singh
- Adult Hematolymphoid Unit, Tata Memorial Center, Varanasi, India
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22
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Teixeira A, Carreira L, Abalde-Cela S, Sampaio-Marques B, Areias AC, Ludovico P, Diéguez L. Current and Emerging Techniques for Diagnosis and MRD Detection in AML: A Comprehensive Narrative Review. Cancers (Basel) 2023; 15:cancers15051362. [PMID: 36900154 PMCID: PMC10000116 DOI: 10.3390/cancers15051362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 02/06/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Acute myeloid leukemia (AML) comprises a group of hematologic neoplasms characterized by abnormal differentiation and proliferation of myeloid progenitor cells. AML is associated with poor outcome due to the lack of efficient therapies and early diagnostic tools. The current gold standard diagnostic tools are based on bone marrow biopsy. These biopsies, apart from being very invasive, painful, and costly, have low sensitivity. Despite the progress uncovering the molecular pathogenesis of AML, the development of novel detection strategies is still poorly explored. This is particularly important for patients that check the criteria for complete remission after treatment, since they can relapse through the persistence of some leukemic stem cells. This condition, recently named as measurable residual disease (MRD), has severe consequences for disease progression. Hence, an early and accurate diagnosis of MRD would allow an appropriate therapy to be tailored, improving a patient's prognosis. Many novel techniques with high potential in disease prevention and early detection are being explored. Among them, microfluidics has flourished in recent years due to its ability at processing complex samples as well as its demonstrated capacity to isolate rare cells from biological fluids. In parallel, surface-enhanced Raman scattering (SERS) spectroscopy has shown outstanding sensitivity and capability for multiplex quantitative detection of disease biomarkers. Together, these technologies can allow early and cost-effective disease detection as well as contribute to monitoring the efficiency of treatments. In this review, we aim to provide a comprehensive overview of AML disease, the conventional techniques currently used for its diagnosis, classification (recently updated in September 2022), and treatment selection, and we also aim to present how novel technologies can be applied to improve the detection and monitoring of MRD.
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Affiliation(s)
- Alexandra Teixeira
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
| | - Luís Carreira
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
| | - Sara Abalde-Cela
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
| | - Belém Sampaio-Marques
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
| | - Anabela C. Areias
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
| | - Paula Ludovico
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
- Correspondence: (P.L.); (L.D.)
| | - Lorena Diéguez
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
- Correspondence: (P.L.); (L.D.)
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23
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Krigstein M, Iland HJ, Wei AH. Applying molecular measurable residual disease testing in acute myeloid leukaemia. Pathology 2023; 55:1-7. [PMID: 36503638 DOI: 10.1016/j.pathol.2022.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/12/2022] [Accepted: 11/14/2022] [Indexed: 11/24/2022]
Abstract
Molecular testing in acute myeloid leukaemia (AML) has continued to dramatically advance in recent years, facilitating the ability to detect residual disease at exponentially lower levels. With the advent of the recently updated ELN consensus recommendations, there is increasing complexity to ordering and interpreting measurable residual disease (MRD) assays in AML. We outline the technology itself in conjunction with the relevant testing timepoints, clinically significant thresholds and potential prognostic and therapeutic significance of MRD testing for the major molecular targets in AML. This practical overview should assist haematologists in incorporating molecular MRD assays routinely into their personalised AML clinical management.
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Affiliation(s)
- Michael Krigstein
- Department of Haematology, St Vincent's Hospital, Sydney, NSW, Australia.
| | - Harry J Iland
- Department of Haematology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Andrew H Wei
- Department of Haematology, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Vic, Australia
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24
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Sperotto A, Bochicchio MT, Simonetti G, Buccisano F, Peccatori J, Piemontese S, Calistri E, Ciotti G, Pierdomenico E, De Marchi R, Ciceri F, Gottardi M. Measurable Residual Disease and Clonal Evolution in Acute Myeloid Leukemia from Diagnosis to Post-Transplant Follow-Up: The Role of Next-Generation Sequencing. Biomedicines 2023; 11. [PMID: 36830896 DOI: 10.3390/biomedicines11020359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 01/28/2023] Open
Abstract
It has now been ascertained that acute myeloid leukemias-as in most type of cancers-are mixtures of various subclones, evolving by acquiring additional somatic mutations over the course of the disease. The complexity of leukemia clone architecture and the phenotypic and/or genotypic drifts that can occur during treatment explain why more than 50% of patients-in hematological remission-could relapse. Moreover, the complexity and heterogeneity of clone architecture represent a hindrance for monitoring measurable residual disease, as not all minimal residual disease monitoring methods are able to detect genetic mutations arising during treatment. Unlike with chemotherapy, which imparts a relatively short duration of selective pressure on acute myeloid leukemia clonal architecture, the immunological effect related to allogeneic hematopoietic stem cell transplant is prolonged over time and must be overcome for relapse to occur. This means that not all molecular abnormalities detected after transplant always imply inevitable relapse. Therefore, transplant represents a critical setting where a measurable residual disease-based strategy, performed during post-transplant follow-up by highly sensitive methods such as next-generation sequencing, could optimize and improve treatment outcome. The purpose of our review is to provide an overview of the role of next-generation sequencing in monitoring both measurable residual disease and clonal evolution in acute myeloid leukemia patients during the entire course of the disease, with special focus on the transplant phase.
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25
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Ediriwickrema A, Gentles AJ, Majeti R. Single-cell genomics in AML: extending the frontiers of AML research. Blood 2023; 141:345-355. [PMID: 35926108 PMCID: PMC10082362 DOI: 10.1182/blood.2021014670] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/06/2022] [Accepted: 07/23/2022] [Indexed: 01/31/2023] Open
Abstract
The era of genomic medicine has allowed acute myeloid leukemia (AML) researchers to improve disease characterization, optimize risk-stratification systems, and develop new treatments. Although there has been significant progress, AML remains a lethal cancer because of its remarkably complex and plastic cellular architecture. This degree of heterogeneity continues to pose a major challenge, because it limits the ability to identify and therefore eradicate the cells responsible for leukemogenesis and treatment failure. In recent years, the field of single-cell genomics has led to unprecedented strides in the ability to characterize cellular heterogeneity, and it holds promise for the study of AML. In this review, we highlight advancements in single-cell technologies, outline important shortcomings in our understanding of AML biology and clinical management, and discuss how single-cell genomics can address these shortcomings as well as provide unique opportunities in basic and translational AML research.
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Affiliation(s)
- Asiri Ediriwickrema
- Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA
| | - Andrew J. Gentles
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA
| | - Ravindra Majeti
- Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Cancer Institute, Stanford University School of Medicine, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA
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26
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Stahl M, Derkach A, Farnoud N, Bewersdorf JP, Robinson T, Famulare C, Cho C, Devlin S, Menghrajani K, Patel MA, Cai SF, Miles LA, Bowman RL, Geyer MB, Dunbar A, Epstein-Peterson ZD, McGovern E, Schulman J, Glass JL, Taylor J, Viny AD, Stein EM, Getta B, Arcila ME, Gao Q, Barker J, Shaffer BC, Papadopoulos EB, Gyurkocza B, Perales MA, Abdel-Wahab O, Levine RL, Giralt SA, Zhang Y, Xiao W, Pai N, Papaemmanuil E, Tallman MS, Roshal M, Goldberg AD. Molecular predictors of immunophenotypic measurable residual disease clearance in acute myeloid leukemia. Am J Hematol 2023; 98:79-89. [PMID: 36251406 PMCID: PMC10080561 DOI: 10.1002/ajh.26757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 10/01/2022] [Accepted: 10/03/2022] [Indexed: 02/04/2023]
Abstract
Measurable residual disease (MRD) is a powerful prognostic factor in acute myeloid leukemia (AML). However, pre-treatment molecular predictors of immunophenotypic MRD clearance remain unclear. We analyzed a dataset of 211 patients with pre-treatment next-generation sequencing who received induction chemotherapy and had MRD assessed by serial immunophenotypic monitoring after induction, subsequent therapy, and allogeneic stem cell transplant (allo-SCT). Induction chemotherapy led to MRD- remission, MRD+ remission, and persistent disease in 35%, 27%, and 38% of patients, respectively. With subsequent therapy, 34% of patients with MRD+ and 26% of patients with persistent disease converted to MRD-. Mutations in CEBPA, NRAS, KRAS, and NPM1 predicted high rates of MRD- remission, while mutations in TP53, SF3B1, ASXL1, and RUNX1 and karyotypic abnormalities including inv (3), monosomy 5 or 7 predicted low rates of MRD- remission. Patients with fewer individual clones were more likely to achieve MRD- remission. Among 132 patients who underwent allo-SCT, outcomes were favorable whether patients achieved early MRD- after induction or later MRD- after subsequent therapy prior to allo-SCT. As MRD conversion with chemotherapy prior to allo-SCT is rarely achieved in patients with specific baseline mutational patterns and high clone numbers, upfront inclusion of these patients into clinical trials should be considered.
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Affiliation(s)
- Maximilian Stahl
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medical Oncology, Division of Leukemia, Dana-Farber Cancer Institute, Boston, MA
| | - Andriy Derkach
- Department of Biostatistics and Epidemiology, Memorial Sloan-Kettering Cancer Center, New York, NY
| | - Noushin Farnoud
- Department of Biostatistics and Epidemiology, Memorial Sloan-Kettering Cancer Center, New York, NY
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jan Philipp Bewersdorf
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Troy Robinson
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Gerstner Sloan Kettering Graduate School of Biomedical Sciences, New York, NY
| | - Christopher Famulare
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Christina Cho
- Department of Medicine, Adult Bone Marrow Transplant Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Sean Devlin
- Department of Biostatistics and Epidemiology, Memorial Sloan-Kettering Cancer Center, New York, NY
| | - Kamal Menghrajani
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Minal A Patel
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sheng F Cai
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
- Center for Epigenetic Research, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Linde A. Miles
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Robert L. Bowman
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mark B. Geyer
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew Dunbar
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Zachary D. Epstein-Peterson
- Weill Cornell Medical College, New York, NY
- Lymphoma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Erin McGovern
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jessica Schulman
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jacob L Glass
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Justin Taylor
- Sylvester Comprehensive Cancer Center at the University of Miami, Miami, FL
| | - Aaron D Viny
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Eytan M. Stein
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Bartlomiej Getta
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Maria E. Arcila
- Molecular Diagnostics Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Qi Gao
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Juliet Barker
- Department of Medicine, Adult Bone Marrow Transplant Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Brian C. Shaffer
- Department of Medicine, Adult Bone Marrow Transplant Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Esperanza B. Papadopoulos
- Department of Medicine, Adult Bone Marrow Transplant Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Boglarka Gyurkocza
- Department of Medicine, Adult Bone Marrow Transplant Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Miguel-Angel Perales
- Department of Medicine, Adult Bone Marrow Transplant Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Omar Abdel-Wahab
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
- Lymphoma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ross L. Levine
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sergio A. Giralt
- Department of Medicine, Adult Bone Marrow Transplant Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Yanming Zhang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Wenbin Xiao
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Nidhi Pai
- Georgia Institute of Technology, Atlanta, GA
| | - Elli Papaemmanuil
- Department of Biostatistics and Epidemiology, Memorial Sloan-Kettering Cancer Center, New York, NY
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Martin S. Tallman
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Mikhail Roshal
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Aaron D Goldberg
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
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27
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Rodríguez-Arbolí E, Othus M, Orvain C, Zarling LC, Sandmaier BM, Milano F, Schoch G, Davis C, Deeg HJ, Appelbaum FR, Storb R, Walter RB. Contribution of measurable residual disease status to prediction accuracy of relapse and survival in adults with acute myeloid leukemia undergoing allogeneic hematopoietic cell transplantation. Haematologica 2023; 108:273-277. [PMID: 36134457 PMCID: PMC9827162 DOI: 10.3324/haematol.2022.281631] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 09/14/2022] [Indexed: 02/05/2023] Open
Affiliation(s)
- Eduardo Rodríguez-Arbolí
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Hematology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS/CSIC/CIBERONC), University of Seville, Seville
| | - Megan Othus
- Public Health Science Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Corentin Orvain
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Lucas C Zarling
- Department of Medicine, Residency Program, University of Washington, Seattle, WA
| | - Brenda M Sandmaier
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA
| | - Filippo Milano
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA
| | - Gary Schoch
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Chris Davis
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - H Joachim Deeg
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA
| | - Frederick R Appelbaum
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA
| | - Rainer Storb
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA
| | - Roland B Walter
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Medicine, Division of Hematology, University of Washington, Seattle, WA, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA.
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Zheng J, Qiu D, Jiang X, Zhao Y, Zhao H, Wu X, Chen J, Lai J, Zhang W, Li X, Li Y, Wu X, Jin Z. Increased PD-1 +Foxp3 + γδ T cells associate with poor overall survival for patients with acute myeloid leukemia. Front Oncol 2022; 12:1007565. [PMID: 36591503 PMCID: PMC9799959 DOI: 10.3389/fonc.2022.1007565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/21/2022] [Indexed: 12/23/2022] Open
Abstract
Problems γδ T cells are essential for anti-leukemia function in immunotherapy, however, γδ T cells have different functional subsets, including regulatory cell subsets expressing the Foxp3. Whether they are correlated with immune-checkpoint mediated T cell immune dysfunction remains unknown in patients with acute myeloid leukemia (AML). Methods In this study, we used RNA-seq data from 167 patients in TCGA dataset to analyze the correlation between PD-1 and FOXP3 genes and these two genes' association with the prognosis of AML patients. The expression proportion of Foxp3+/PD-1+ cells in γδ T cells and two subgroups Vδ1 and Vδ2 T cells were performed by flow cytometry. The expression level of FOXP3 and PD-1 genes in γδ T cells were sorted from peripheral blood by MACS magnetic cell sorting technique were analyzed by quantitative real-time PCR. Results We found that PD-1 gene was positively correlated with FOXP3 gene and highly co-expressed PD-1 and FOXP3 genes were associated with poor overall survival (OS) from TCGA database. Then, we detected a skewed distribution of γδ T cells with increased Vδ1 and decreased Vδ2 T cell subsets in AML. Moreover, significantly higher percentages of PD-1+ γδ, Foxp3+ γδ, and PD-1+Foxp3+ γδ T cells were detected in de novo AML patients compared with healthy individuals. More importantly, AML patients containing higher PD-1+Foxp3+ γδ T cells had lower OS, which might be a potential therapeutic target for leukemia immunotherapy. Conclusion A significant increase in the PD-1+Foxp3+ γδ T cell subset in AML was associated with poor clinical outcome, which provides predictive value for the study of AML patients.
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Affiliation(s)
- Jiamian Zheng
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Dan Qiu
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China,Department of Traditional Chinese Medicine, Heyuan People’s Hospital, Heyuan, China
| | - Xuan Jiang
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Yun Zhao
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Haotian Zhao
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaofang Wu
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Jie Chen
- Department of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Jing Lai
- Department of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Wenbin Zhang
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Xutong Li
- Department of Oncology, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Yangqiu Li
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China,*Correspondence: Yangqiu Li, ; Xiuli Wu, ; Zhenyi Jin,
| | - Xiuli Wu
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China,*Correspondence: Yangqiu Li, ; Xiuli Wu, ; Zhenyi Jin,
| | - Zhenyi Jin
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China,Department of Pathology, School of Medicine, Jinan University, Guangzhou, China,*Correspondence: Yangqiu Li, ; Xiuli Wu, ; Zhenyi Jin,
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Hourigan CS. Achieving MRD negativity in AML: how important is this and how do we get there? Hematology Am Soc Hematol Educ Program 2022; 2022:9-14. [PMID: 36485093 DOI: 10.1182/hematology.2022000323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Multiple studies have demonstrated that patients with acute myeloid leukemia (AML) who have measurable residual disease (MRD) detected during or after treatment have higher relapse rates and worse survival than similar patients testing negative. Updated response criteria for AML reflect the understanding that achievement of complete remission (CR) with no detectable MRD using high-sensitivity tests represents a superior response over conventional cytomorphological CR alone. Potential use cases for AML MRD testing are diverse and include patient selection for clinical trials and therapeutic assignment, early relapse detection and intervention during sequential monitoring, and drug development, including deep quantification for antileukemia efficacy and as a surrogate endpoint for overall survival in regulatory approvals. Testing for AML MRD has not, however, been harmonized, and many technical and clinical questions remain. The implications of MRD test results for specific therapeutic combinations, molecular subsets, test types, treatment time points, sample types, and patient characteristics remain incompletely defined. No perfect AML MRD test or testing strategy currently exists, and the evidence basis for clinical recommendations in this rare disease is sparse but growing. It is unproven whether conversion of an MRD test result from positive to negative by additional therapeutic intervention improves relapse risk and survival. Several national- and international-level consortia have recently been initiated to advance the generation and collection of evidence to support the use of AML MRD testing in clinical practice, drug development, and regulatory approvals.
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Donia HM, Elsweify NM, Farahat NM, Nadwan EA. Wilms tumor 1 gene expression in acute myeloid leukemia: prognostic significance and usefulness in minimal residual disease monitoring—a case–control study. Egypt J Med Hum Genet 2022. [DOI: 10.1186/s43042-022-00291-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Minimal residual disease (MRD), which is characterized as leukemic cells at a level below morphologic detection, has been connected to the risk of relapse in acute myeloid leukemia. In 80–90% of acute myeloid leukemia (AML) patients, the Wilms tumor (WT1) gene is overexpressed at the mRNA level. In our prospective study, a total of 55 patients were enrolled in the study. Group I involved 40 AML patients and group II involved 15 patients healthy controls. WT1 gene expression was quantified using quantitative real-time PCR on bone marrow samples from AML patients at initial diagnosis and at day 28 after induction chemotherapy, and compared to 15 healthy controls in group II. Follow up of patients for prognosis evaluation was assessed. IBM SPSS software was used to capture and analyses the data.
Results
At diagnosis, the mean WT1 transcript value in AML patients was substantially higher than the expression observed in control patient’s Bone marrow. There was no statistically relevant relationship between the onset of relapse and WT1 expression. Patients with WT1 overexpression at diagnosis had a shorter overall survival than patients with negative WT1 expression.
Conclusions
Wilms tumor 1 gene expression was found to be significantly higher in AML patients than control cases, overall, our results confirmed the prognostic significance of WT1 overexpression in AML patients. Our findings support the application of MRD in AML patients based on WT1 overexpression.
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Upadhyay Banskota S, Khanal N, Marar RI, Dhakal P, Bhatt VR. Precision Medicine in Myeloid Malignancies: Hype or Hope? Curr Hematol Malig Rep 2022; 17:217-27. [PMID: 35972641 DOI: 10.1007/s11899-022-00674-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/23/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW We review how understanding the fitness and comorbidity burden of patients, and molecular landscape of underlying acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) at the time of diagnosis is now integral to treatment. RECENT FINDINGS The upfront identification of patients' fitness and molecular profile facilitates selection of targeted and novel agents, enables risk stratification, allows consideration of allogeneic hematopoietic cell transplantation in high-risk patients, and provides treatment selection for older (age ≥ 75) or otherwise unfit patients who may not tolerate conventional treatment. The use of measurable residual disease (MRD) assessment improves outcome prediction and can also guide therapeutic strategies such as chemotherapy maintenance and transplant. In recent years, several novel drugs have received FDA approval for treating patients with AML with or without specific mutations. A doublet and triplet combination of molecular targeted and other novel treatments have resulted in high response rates in early trials. Following the initial success in AML, novel drugs are undergoing clinical trials in MDS. Unprecedented advances have been made in precision medicine approaches in AML and MDS. However, lack of durable responses and long-term disease control in many patients still present significant challenges, which can only be met, to some extent, with innovative combination strategies throughout the course of treatment from induction to consolidation and maintenance.
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Rodríguez-Arbolí E, Orvain C, Othus M, Walter RB. Significance of measurable residual disease in adults with secondary acute myeloid leukemia undergoing allogeneic hematopoietic cell transplantation. Bone Marrow Transplant 2022; 57:1732-1734. [PMID: 36030308 PMCID: PMC10598788 DOI: 10.1038/s41409-022-01794-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 08/11/2022] [Accepted: 08/15/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Eduardo Rodríguez-Arbolí
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Hematology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS/CSIC/CIBERONC), University of Seville, Seville, Spain
| | - Corentin Orvain
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Megan Othus
- Public Health Science Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Roland B Walter
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Department of Medicine, Division of Hematology, University of Washington, Seattle, WA, USA.
- Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
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Yang S, Kay NE, Shi M, Hanson CA, Gale RP. Is unmeasurable residual disease (uMRD) the best surrogate endpoint for clinical trials, regulatory approvals and therapy decisions in chronic lymphocytic leukaemia (CLL)? Leukemia 2022; 36:2743-7. [PMID: 36100641 DOI: 10.1038/s41375-022-01699-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 11/08/2022]
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Gale RP. Measurable residual disease in childhood B-cell acute lymphoblastic leukemia. Blood Sci 2022; 4:209-10. [PMID: 36311818 DOI: 10.1097/BS9.0000000000000112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 03/28/2022] [Indexed: 11/07/2022] Open
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Röhnert MA, Kramer M, Schadt J, Ensel P, Thiede C, Krause SW, Bücklein V, Hoffmann J, Jaramillo S, Schlenk RF, Röllig C, Bornhäuser M, McCarthy N, Freeman S, Oelschlägel U, von Bonin M. Reproducible measurable residual disease detection by multiparametric flow cytometry in acute myeloid leukemia. Leukemia 2022; 36:2208-2217. [PMID: 35851154 PMCID: PMC9417981 DOI: 10.1038/s41375-022-01647-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 06/24/2022] [Accepted: 07/01/2022] [Indexed: 11/08/2022]
Abstract
Measurable residual disease (MRD) detected by multiparametric flow cytometry (MFC) is associated with unfavorable outcome in patients with AML. A simple, broadly applicable eight-color panel was implemented and analyzed utilizing a hierarchical gating strategy with fixed gates to develop a clear-cut LAIP-based DfN approach. In total, 32 subpopulations with aberrant phenotypes with/without expression of markers of immaturity were monitored in 246 AML patients after completion of induction chemotherapy. Reference values were established utilizing 90 leukemia-free controls. Overall, 73% of patients achieved a response by cytomorphology. In responders, the overall survival was shorter for MRDpos patients (HR 3.8, p = 0.006). Overall survival of MRDneg non-responders was comparable to MRDneg responders. The inter-rater-reliability for MRD detection was high with a Krippendorffs α of 0.860. The mean time requirement for MRD analyses at follow-up was very short with 04:31 minutes. The proposed one-tube MFC approach for detection of MRD allows a high level of standardization leading to a promising inter-observer-reliability with a fast turnover. MRD defined by this strategy provides relevant prognostic information and establishes aberrancies outside of cell populations with markers of immaturity as an independent risk feature. Our results imply that this strategy may provide the base for multicentric immunophenotypic MRD assessment.
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Affiliation(s)
- Maximilian A Röhnert
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany.
| | - Michael Kramer
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Jonas Schadt
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Philipp Ensel
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Christian Thiede
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
- AgenDix GmbH, Dresden, Germany
| | - Stefan W Krause
- Department of Medicine 5, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Veit Bücklein
- Department of Medicine III, University Hospital LMU Munich, Munich, Germany
- Laboratory for Translational Cancer Immunology, Gene Center, LMU Munich, Munich, Germany
| | - Jörg Hoffmann
- Department of Internal Medicine and Hematology, Oncology and Immunology, Philipps University Marburg and University Hospital Giessen and Marburg, Marburg, Germany
| | - Sonia Jaramillo
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Richard F Schlenk
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- NCT Trial Center, National Center of Tumor Diseases, German Cancer Research Center, Heidelberg, Germany
| | - Christoph Röllig
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Martin Bornhäuser
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
- National Center of Tumor Diseases, Dresden, Germany
| | - Nicholas McCarthy
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Sylvie Freeman
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Uta Oelschlägel
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Malte von Bonin
- Department of Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
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Hoffmann J, Thrun MC, Röhnert MA, von Bonin M, Oelschlägel U, Neubauer A, Ultsch A, Brendel C. Identification of critical hemodilution by artificial intelligence in bone marrow assessed for MRD analysis in acute myeloid leukemia: the Cinderella method. Cytometry A 2022; 103:304-312. [PMID: 36030398 DOI: 10.1002/cyto.a.24686] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 11/08/2022]
Abstract
Minimal residual disease (MRD) detection is a strong predictor for survival and relapse in acute myeloid leukemia (AML). MRD can be either determined by molecular assessment strategies or via multiparameter flow cytometry. The degree of bone marrow (BM) dilution with peripheral blood (PB) increases with aspiration volume causing consecutive underestimation of the residual AML blast amount. In order to prevent false-negative MRD results, we developed Cinderella, a simple automated method for one-tube simultaneous measurement of hemodilution in BM samples and MRD level. The explainable artificial intelligence (XAI) Cinderella was trained and validated with the digital raw data of a flow cytometric "8-color" AML-MRD antibody panel in 126 BM and 23 PB samples from 35 patients. Cinderella predicted PB dilution with high accordance compared to the results of the Holdrinet formula (Pearson's correlation coefficient r = 0.94, R2 = 0.89, p < 0.001). Unlike conventional neuronal networks Cinderella calculated the distributions of 12 different cell populations that were assigned to true hematopoietic counterparts as a Human in the Loop (HIL) approach. Besides characteristic BM cells such as myelocytes and myeloid progenitor cells the XAI identified discriminating populations, which were not specific for BM or PB (e.g., T cell/ NK cell subpopulations, CD45 negative cells) and considered their frequency differences. Thus, Cinderella represents a HIL-XAI algorithm capable to calculate the degree of hemodilution in bone marrow samples with an AML MRD immunophenotype panel. It is explicable, transparent and paves a simple way to prevent false negative MRD reports. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Joerg Hoffmann
- Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany
| | - Michael C Thrun
- Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany.,Databionics, Mathematics and Computer Science, Philipps University Marburg, Marburg, Germany
| | - Maximilian A Röhnert
- Department of Medicine I, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Malte von Bonin
- Department of Medicine I, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Uta Oelschlägel
- Department of Medicine I, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Andreas Neubauer
- Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany
| | - Alfred Ultsch
- Databionics, Mathematics and Computer Science, Philipps University Marburg, Marburg, Germany
| | - Cornelia Brendel
- Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany
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Azenkot T, Jonas BA. Clinical Impact of Measurable Residual Disease in Acute Myeloid Leukemia. Cancers (Basel) 2022; 14:cancers14153634. [PMID: 35892893 PMCID: PMC9330895 DOI: 10.3390/cancers14153634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 07/21/2022] [Indexed: 11/24/2022] Open
Abstract
Simple Summary Advances in immunophenotyping and molecular techniques have allowed for the development of more sensitive diagnostic tests in acute leukemia. These techniques can identify low levels of leukemic cells (quantified as 10−4 to 10−6 ratio to white blood cells) in patient samples. The presence of such low levels of leukemic cells, termed “measurable/minimal residual disease” (MRD), has been shown to be a marker of disease burden and patient outcomes. In acute lymphoblastic leukemia, new agents are highly effective at eliminating MRD for patients whose leukemia progressed despite first line therapies. By comparison, the role of MRD in acute myeloid leukemia is less clear. This commentary reviews select data and remaining questions about the clinical application of MRD to the treatment of patients with acute myeloid leukemia. Abstract Measurable residual disease (MRD) has emerged as a primary marker of risk severity and prognosis in acute myeloid leukemia (AML). There is, however, ongoing debate about MRD-based surveillance and treatment. A literature review was performed using the PubMed database with the keywords MRD or residual disease in recently published journals. Identified articles describe the prognostic value of pre-transplant MRD and suggest optimal timing and techniques to quantify MRD. Several studies address the implications of MRD on treatment selection and hematopoietic stem cell transplant, including patient candidacy, conditioning regimen, and transplant type. More prospective, randomized studies are needed to guide the application of MRD in the treatment of AML, particularly in transplant.
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Affiliation(s)
- Tali Azenkot
- Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, CA 95817, USA;
| | - Brian A. Jonas
- Division of Cellular Therapy, Bone Marrow Transplant, and Malignant Hematology, Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, CA 95817, USA
- Correspondence: ; Tel.: +1-916-734-3772
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Stasik S, Burkhard-Meier C, Kramer M, Middeke JM, Oelschlaegel U, Sockel K, Ehninger G, Serve H, Müller-Tidow C, Baldus CD, Röllig C, Bornhäuser M, Platzbecker U, Thiede C. Deep sequencing in CD34+ cells from peripheral blood allows sensitive detection of measurable residual disease in AML. Blood Adv 2022:bloodadvances. [PMID: 35320339 DOI: 10.1182/bloodadvances.2021006233] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 02/28/2022] [Indexed: 11/20/2022] Open
Abstract
The combination of FACS for enrichment of CD34+ PB cells and deep sequencing enables detection of MRD at levels down to 1:106. NGS in CD34+ PB cells improved early prediction of molecular relapse compared with NGS of unsorted PB or CD34+ donor chimerism.
Monitoring of measurable residual disease (MRD) in patients with acute myeloid leukemia (AML) is predictive of disease recurrence and may identify patients who benefit from treatment intensification. Current MRD techniques rely on multicolor flow cytometry or molecular methods, but are limited in applicability or sensitivity. We evaluated the feasibility of a novel approach for MRD detection in peripheral blood (PB), which combines immunomagnetic preenrichment and fluorescence-activated cell sorting (FACS) for isolation of CD34+ cells with error-reduced targeted next-generation sequencing (NGS). For clinical validation, we retrospectively analyzed 429 PB and 55 bone marrow (BM) samples of 40 patients with AML or high-risk MDS, with/without molecular relapse based on CD34+ donor chimerism (DC), in complete remission after allogeneic stem cell transplantation. Enrichment of CD34+ cells for NGS increased the detection of mutant alleles in PB ∼1000-fold (median variant allele frequency, 1.27% vs 0.0046% in unsorted PB; P < .0001). Although a strong correlation was observed for the parallel analysis of CD34+ PB cells with NGS and DC (r = 0.8601), the combination of FACS and NGS improved sensitivity for MRD detection in dilution experiments ∼10-fold to levels of 10−6. In both assays, MRD detection was superior using PB vs BM for CD34+ enrichment. Importantly, NGS on CD34+ PB cells enabled prediction of molecular relapse with high sensitivity (100%) and specificity (91%), and significantly earlier (median, 48 days; range, 0-281; P = .0011) than by CD34+ DC or NGS of unsorted PB, providing additional time for therapeutic intervention. Moreover, panel sequencing in CD34+ cells allowed for the early assessment of clonal trajectories in hematological complete remission.
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Paras G, Morsink LM, Othus M, Milano F, Sandmaier BM, Zarling LC, Palmieri R, Schoch G, Davis C, Bleakley M, Flowers MED, Deeg HJ, Appelbaum FR, Storb R, Walter RB. Conditioning intensity and peritransplant flow cytometric MRD dynamics in adult AML. Blood 2022; 139:1694-1706. [PMID: 34995355 PMCID: PMC8931514 DOI: 10.1182/blood.2021014804] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 12/28/2021] [Indexed: 11/20/2022] Open
Abstract
In acute myeloid leukemia (AML), measurable residual disease (MRD) before or after allogeneic hematopoietic cell transplantation (HCT) is an established independent indicator of poor outcome. To address how peri-HCT MRD dynamics could refine risk assessment across different conditioning intensities, we analyzed 810 adults transplanted in first or second remission after myeloablative conditioning (MAC; n = 515) or non-MAC (n = 295) who underwent multiparameter flow cytometry-based MRD testing before as well as 20 to 40 days after allografting. Patients without pre- and post-HCT MRD (MRDneg/MRDneg) had the lowest risks of relapse and highest relapse-free survival (RFS) and overall survival (OS). Relative to those patients, outcomes for MRDpos/MRDpos and MRDneg/MRDpos patients were poor regardless of conditioning intensity. Outcomes for MRDpos/MRDneg patients were intermediate. Among 161 patients with MRD before HCT, MRD was cleared more commonly with a MAC (85 of 104; 81.7%) than non-MAC (33 of 57; 57.9%) regimen (P = .002). Although non-MAC regimens were less likely to clear MRD, if they did, the impact on outcome was greater. Thus, there was a significant interaction between conditioning intensity and "MRD conversion" for relapse (P = .020), RFS (P = .002), and OS (P = .001). Similar findings were obtained in the subset of 590 patients receiving HLA-matched allografts. C-statistic values were higher (indicating higher predictive accuracy) for peri-HCT MRD dynamics compared with the isolated use of pre-HCT MRD status or post-HCT MRD status for prediction of relapse, RFS, and OS. Across conditioning intensities, peri-HCT MRD dynamics improve risk assessment over isolated pre- or post-HCT MRD assessments in patients with AML.
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Affiliation(s)
- Gabrielle Paras
- Department of Medicine, Residency Program, University of Washington, Seattle, WA
| | - Linde M Morsink
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Hematology, University Medical Center Groningen, Groningen, The Netherlands
| | - Megan Othus
- Public Health Science Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Filippo Milano
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - Brenda M Sandmaier
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - Lucas C Zarling
- Department of Medicine, Residency Program, University of Washington, Seattle, WA
| | - Raffaele Palmieri
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Hematology, University Tor Vergata, Rome, Italy; and
| | - Gary Schoch
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Chris Davis
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Marie Bleakley
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Pediatrics
| | - Mary E D Flowers
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - H Joachim Deeg
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - Frederick R Appelbaum
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - Rainer Storb
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - Roland B Walter
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Hematology, Department of Medicine
- Department of Laboratory Medicine & Pathology, and
- Department of Epidemiology, University of Washington, Seattle, WA
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40
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Buccisano F, Palmieri R, Piciocchi A, Arena V, Maurillo L, Del Principe MI, Paterno G, Irno-Consalvo MA, Ottone T, Divona M, Conti C, Fraboni D, Lavorgna S, Arcese W, Voso MT, Venditti A. Clinical relevance of an objective flow cytometry approach based on limit of detection and limit of quantification for measurable residual disease assessment in acute myeloid leukemia. A post-hoc analysis of the GIMEMA AML1310 trial. Haematologica 2022; 107:2823-2833. [PMID: 35295076 PMCID: PMC9713557 DOI: 10.3324/haematol.2021.279777] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Indexed: 12/14/2022] Open
Abstract
Using a multiparametric flow cytometry assay, we assessed the predictive power of a threshold calculated applying the criteria of limit of detection (LOD) and limit of quantitation (LOQ) in adult patients with acute myeloid leukemia. This was a post-hoc analysis of 261 patients enrolled in the GIMEMA AML1310 prospective trial. According to the protocol design, using the predefined measurable residual disease (MRD) threshold of 0.035% bone marrow residual leukemic cells (RLC) calculated on mononuclear cells, 154 (59%) of the 261 patients were negative (MRD <0.035%) and 107 (41%) were positive (MRD ≥0.035%). Using LOD and LOQ, we selected the following categories of patients: (i) LODneg if RLC were below the LOD (74; 28.4%); (ii) LODpos-LOQneg if RLC were between the LOD and LOQ (43; 16.5%); and (iii) LOQpos if RLC were above the LOQ (144; 54.4%). Two-year overall survival of these three categories of patients was 75.4%, 79.8% and 66.4%, respectively (P=0.1197). Given their superimposable outcomes, the LODneg and LODpos-LOQneg categories were combined. Two-year overall survival of LODneg/LODpos-LOQneg patients was 77.0% versus 66.4% of LOQpos individuals (P=0.043). This figure was challenged in univariate analysis (P=0.046, hazard ratio=1.6, 95% confidence interval: 1.01-2.54) which confirmed the independent role of the LOD-LOQ approach in determining overall survival. In the AML1310 protocol, using the threshold of 0.035%, 2-year overall survival of patients with MRD <0.035% and MRD ≥0.035% was 74.5% versus 66.4%, respectively (P=0.3521). In conclusion, the use of the LOD-LOQ method results in more sensitive detection of MRD that, in turn, translates into a more accurate recognition of patients with different outcomes.
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Affiliation(s)
- Francesco Buccisano
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma,FB and RP contributed equally as co-first authors
| | - Raffaele Palmieri
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma,FB and RP contributed equally as co-first authors
| | | | | | - Luca Maurillo
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | | | | | | | - Tiziana Ottone
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Mariadomenica Divona
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Consuelo Conti
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Daniela Fraboni
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Serena Lavorgna
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - William Arcese
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma,Rome Transplant Network, Rome, Italy
| | - Maria Teresa Voso
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Adriano Venditti
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
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41
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Kitamura W, Fujii N, Nawa Y, Fujishita K, Sugiura H, Yoshioka T, Fujiwara Y, Usui Y, Fujii K, Fujiwara H, Asada N, Nishimori H, Matsuoka KI, Maeda Y. Possible prognostic impact of WT1 mRNA expression at day + 30 after haploidentical peripheral blood stem cell transplantation with posttransplant cyclophosphamide for patients with myeloid neoplasm: a multicenter study from the Okayama Hematological Study Group. Int J Hematol 2022; 115:515-524. [PMID: 35119651 DOI: 10.1007/s12185-022-03290-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/14/2022] [Accepted: 01/16/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Previous studies have revealed that relapse of myeloid neoplasms after allogeneic hematopoietic stem cell transplantation (allo-HSCT) could be predicted by monitoring Wilms' tumor 1 (WT1) mRNA expression. However, only a few studies have investigated patients who received human leukocyte antigen-haploidentical stem cell transplantation with posttransplant cyclophosphamide (PTCY-haplo). In this study, we investigated the relationship between WT1 mRNA levels and clinical outcomes in the PTCY-haplo group, and compared them with those in the conventional graft-versus-host disease prophylaxis group (conventional group). METHODS We retrospectively analyzed 130 patients who received their first allo-HSCT between April 2017 and December 2020, including 26 who received PTCY-haplo. RESULTS The WT1 mRNA expression level at day + 30 after allo-HSCT associated with increased risk of 1-year cumulative incidence of relapse (CIR) was ≥ 78 copies/μg RNA in the conventional group (p < 0.01) and ≥ 50 copies/μg RNA in the PTCY-haplo group (p = 0.03). CONCLUSIONS The appropriate cutoff level of WT1 mRNA at day + 30 after allo-HSCT for predicting prognosis in patients treated with PTCY-haplo may be < 50 copies/μg RNA.
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Affiliation(s)
- Wataru Kitamura
- Department of Hematology and Oncology, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Nobuharu Fujii
- Divison of Blood Transfusion, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
| | - Yuichiro Nawa
- Division of Hematology, Ehime Prefectural Central Hospital, 83, Kasuga-cho, Matsuyama, 790-0024, Japan
| | - Keigo Fujishita
- Department of Hematology and Blood Transfusion, Kochi Health Science Center, 2125-1, Ike, Kochi, 781-8555, Japan
| | - Hiroyuki Sugiura
- Department of Hematology, Chugoku Central Hospital, 148-13, Oazakamiiwanari, Miyuki-cho, Fukuyama, 720-0001, Japan
| | - Takanori Yoshioka
- Department of Hematology, National Hospital Organization Okayama Medical Center, 1711-1, Tamasu, Kita-ku, Okayama, 701-1192, Japan
| | - Yuki Fujiwara
- Department of Hematology and Oncology, Japanese Red Cross Society Himeji Hospital, 1-12-1, Shimoteno, Himeji, 670-8540, Japan
| | - Yoshiaki Usui
- Department of Hematology and Oncology, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Keiko Fujii
- Divison of Clinical Laboratory, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Hideaki Fujiwara
- Department of Hematology and Oncology, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Noboru Asada
- Department of Hematology and Oncology, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Hisakazu Nishimori
- Department of Hematology and Oncology, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Ken-Ichi Matsuoka
- Department of Hematology and Oncology, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Yoshinobu Maeda
- Department of Hematology and Oncology, Okayama University Hospital, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
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42
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Abstract
ABSTRACT Response criteria for patients treated for acute myeloid leukemia (AML) based on cytomorphology are inadequate. Many patients achieving a complete remission by such criteria will later relapse. Patients with AML in such remissions who test negative using higher sensitivity measures of residual disease burden (measurable residual disease [MRD]) have on average lower relapse rates and better survival than those testing positive. This association has raised the possibility that these technological advances in measurement of tumor burden could be used to optimize the drug development and regulatory approval processes in AML. The heterogeneous genetic etiology, diverse immunophenotypic profiles, related precursor states and polyclonal architecture however combine to make the development of standardized and validated MRD assessments for AML challenging. Current and future methods to measure residual disease in AML, performance characteristics of testing currently in use, and potential uses for optimized AML MRD tests including as a surrogate endpoint are discussed.
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43
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Tettero JM, Freeman S, Buecklein V, Venditti A, Maurillo L, Kern W, Walter RB, Wood BL, Roumier C, Philippé J, Denys B, Jorgensen JL, Bene MC, Lacombe F, Plesa A, Guzman ML, Wierzbowska A, Czyz A, Ngai LL, Schwarzer A, Bachas C, Cloos J, Subklewe M, Fuering-buske M, Buccisano F. 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] [What about the content of this article? (0)] [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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44
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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45
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Choi G, Tang Z, Guan W. Microfluidic high-throughput single-cell mechanotyping: Devices and
applications. Nanotechnology and Precision Engineering 2021. [DOI: 10.1063/10.0006042] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Gihoon Choi
- Department of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802,
USA
| | - Zifan Tang
- Department of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802,
USA
| | - Weihua Guan
- Department of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802,
USA
- Department of Biomedical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802,
USA
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46
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Yang S, Kay NE, Shi M, Ossenkoppele G, Walter RB, Gale RP. Measurable residual disease testing in chronic lymphocytic leukaemia: hype, hope neither or both? Leukemia 2021; 35:3364-3370. [PMID: 34580401 DOI: 10.1038/s41375-021-01419-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/03/2021] [Accepted: 09/07/2021] [Indexed: 02/08/2023]
Affiliation(s)
- Shenmiao Yang
- Peking University Peoples Hospital, Peking University Institute of Hematology, Beijing, China
| | - Neil E Kay
- Mayo Clinic, Department of Medicine, Division of Hematology, Rochester, MN, USA
| | - Min Shi
- Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, MN, USA
| | - Gert Ossenkoppele
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Roland B Walter
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA, USA
| | - Robert Peter Gale
- Haematology Research Centre, Department of Immunology and Inflammation, Imperial College London, London, UK.
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47
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Healy FM, Dahal LN, Jones JRE, Floisand Y, Woolley JF. Recent Progress in Interferon Therapy for Myeloid Malignancies. Front Oncol 2021; 11:769628. [PMID: 34778087 PMCID: PMC8586418 DOI: 10.3389/fonc.2021.769628] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 10/13/2021] [Indexed: 12/29/2022] Open
Abstract
Myeloid malignancies are a heterogeneous group of clonal haematopoietic disorders, caused by abnormalities in haematopoietic stem cells (HSCs) and myeloid progenitor cells that originate in the bone marrow niche. Each of these disorders are unique and present their own challenges with regards to treatment. Acute myeloid leukaemia (AML) is considered the most aggressive myeloid malignancy, only potentially curable with intensive cytotoxic chemotherapy with or without allogeneic haematopoietic stem cell transplantation. In comparison, patients diagnosed with chronic myeloid leukaemia (CML) and treated with tyrosine kinase inhibitors (TKIs) have a high rate of long-term survival. However, drug resistance and relapse are major issues in both these diseases. A growing body of evidence suggests that Interferons (IFNs) may be a useful therapy for myeloid malignancies, particularly in circumstances where patients are resistant to existing front-line therapies and have risk of relapse following haematopoietic stem cell transplant. IFNs are a major class of cytokines which are known to play an integral role in the non-specific immune response. IFN therapy has potential as a combination therapy in AML patients to reduce the impact of minimal residual disease on relapse. Alongside this, IFNs can potentially sensitize leukaemic cells to TKIs in resistant CML patients. There is evidence also that IFNs have a therapeutic role in myeloproliferative neoplasms (MPNs) such as polycythaemia vera (PV) and primary myelofibrosis (PMF), where they can restore polyclonality in patients. Novel formulations have improved the clinical effectiveness of IFNs. Low dose pegylated IFN formulations improve pharmacokinetics and improve patient tolerance to therapies, thereby minimizing the risk of haematological toxicities. Herein, we will discuss recent developments and the current understanding of the molecular and clinical implications of Type I IFNs for the treatment of myeloid malignancies.
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Affiliation(s)
- Fiona M Healy
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - Lekh N Dahal
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - Jack R E Jones
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - Yngvar Floisand
- Department of Molecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.,The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, United Kingdom
| | - John F Woolley
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, United Kingdom
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48
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Laboratory Diagnosis Group, Chinese Society of Hematology, Chinese Medical Association. [Chinese consensus on minimal residual disease detection and interpretation of patients with acute myeloid leukemia (2021)]. Zhonghua Xue Ye Xue Za Zhi 2021; 42:889-97. [PMID: 35045649 DOI: 10.3760/cma.j.issn.0253-2727.2021.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
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49
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Chang TY, Wang YL, Chang CC, Chen SH, Wen YC, Tsay PK, Jaing TH. Comparable Outcomes Between Adolescent/Young Adults and Children With Acute Myeloid Leukemia Following Allogeneic Hematopoietic Cell Transplantation: A Single-Center Experience. Transplant Proc 2021; 53:3075-3079. [PMID: 34756713 DOI: 10.1016/j.transproceed.2021.09.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/26/2021] [Accepted: 09/22/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND The cytogenetics of acute myeloid leukemia (AML) increases exponentially with age. Adolescent and young adult (AYA) patients have specific psychosocial and other challenges, influencing their ability to access appropriate treatment. Therefore, in allogeneic hematopoietic stem cell transplantation (allo-HSCT) for AML, inferior outcomes would be observed in AYA patients compared to children. METHODS We defined the age range of AYA patients as 15 to 29 years. Sixty-three patients who underwent allo-HSCT from 1998 to 2020 at Chang Gung Children Hospital were enrolled in this study. Overall survival was the time duration from HSCT to death from any cause. Disease-free survival was the time duration from HSCT to the last follow-up or first event (failure to achieve complete remission, relapse, secondary malignancy, or death from any cause). RESULTS Thirty-seven (59%) patients were <15 years of age during allo-HSCT, and 26 (41%) were 15 to 29 years of age. The median age during allo-HSCT was 6.3 years for those <15 years of age compared with 15.7 years for AYA patients. The median follow-up period was 2.2 years after hematopoietic stem cell transplantation for patients <15 years old and 3.8 years after hematopoietic stem cell transplantation for AYA patients. Univariate analysis revealed no significant difference in the 5-year overall survival or disease-free survival among all patients. CONCLUSIONS Several distinct AML subtypes could be amenable to treatment deintensification and targeted therapies. Furthermore, we found that children and AYA patients who underwent allo-HSCT for AML had similar survival.
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Affiliation(s)
- Tsung-Yen Chang
- Division of Hematology/Oncology, Chang Gung Children's Hospital, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Lun Wang
- Division of Hematology/Oncology, Chang Gung Children's Hospital, Chang Gung University, Taoyuan, Taiwan
| | - Chun-Chu Chang
- Department of Nursing, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shih-Hsiang Chen
- Division of Hematology/Oncology, Chang Gung Children's Hospital, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Chuan Wen
- Department of Nursing, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Pei-Kwei Tsay
- Department of Public Health and Center of Biostatistics, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Tang-Her Jaing
- Division of Hematology/Oncology, Chang Gung Children's Hospital, Chang Gung University, Taoyuan, Taiwan.
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50
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Gale RP. Chronic lymphocytic leukemia in China. Chin Med J (Engl) 2021. [PMID: 34636775 DOI: 10.1097/CM9.0000000000001811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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