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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] [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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Ali Shah M, Ahmad U, Tariq Mahmood M, Ahmad AH, Abu Bakar M. Frequency of CD34 and CD10 Expression in Adolescent and Young Adult Patients Having Precursor B-cell Acute Lymphoblastic Leukemia and Its Correlation With Clinical Outcomes: A Single-Center Study. Cureus 2022; 14:e21261. [PMID: 35178316 PMCID: PMC8842122 DOI: 10.7759/cureus.21261] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/14/2022] [Indexed: 11/15/2022] Open
Abstract
Background: The clinical outcomes of CD34 and CD10 antigens expression in adolescent and young adult (AYA) precursor B-cell acute lymphoblastic leukemia (pre-B-ALL) is not still well established. In the present study, we analyzed the laboratory characteristics and clinical outcomes of 123 AYA pre-B-ALL patients in order to evaluate the possible clinical significance of these markers. Materials and methods: In the current study clinical data of 123 consecutive AYA pre-B-ALL patients aged 18-39 years old, enrolled in adult hematology-oncology unit from December 2014 to April 2019 was analyzed. Patient clinical outcome was calculated as overall survival and disease-free survival. Results: Overall, 76.4% of patients showed CD34 expression and CD10 expression was found in 90.2%. CD34 and CD10 expression was associated with higher total leucocyte count, increased peripheral blood blast percentage, and decreased platelet count. Overall survival and disease-free survival were both significantly better in CD34 negative and CD10 negative patients compared to their CD34 positive and CD10 positive counterparts. Interpretation and conclusion: Expressions of CD34 and CD10 are adverse prognostic factors in AYA pre-B-ALL patients and the presence of these antigens influences the clinical outcome of these patients.
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Seth N, Mahajan V, Kedia S, Sutar A, Sehgal K. Minimal Residual Disease (MRD) detection in B- ALL – Experience of a standalone flow cytometry laboratory. PEDIATRIC HEMATOLOGY ONCOLOGY JOURNAL 2021. [DOI: 10.1016/j.phoj.2020.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Bartram J, Patel B, Fielding AK. Monitoring MRD in ALL: Methodologies, technical aspects and optimal time points for measurement. Semin Hematol 2020; 57:142-148. [PMID: 33256904 DOI: 10.1053/j.seminhematol.2020.06.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 06/02/2020] [Indexed: 01/21/2023]
Abstract
The accurate determination of minimal or measurable residual disease (MRD) during the early months of therapy in acute lymphoblastic leukemia is well established as the most important independent prognostic biomarker, predicting response to combination chemotherapy. Stratification based on MRD maximizes treatment effectiveness while minimizing adverse effects. Allele-specific real-time quantitative PCR of clone-defining immunoglobin/T-cell receptor gene rearrangements in the patients' leukemic clones and/or multiparametric flow cytometric tracking of leukemia-associated immunophenotypes are considered standard of care. Following recent advances in high throughput sequencing (HTS; next generation sequencing), much attention has been devoted to the development of HTS-based MRD assays, which can increase sensitivity; theoretically only limited by the number of cells input into the assay. Knowledge of the methods and limitations of each technology, along with awareness of the sensitivity and specificity of MRD at particular treatment time points is important in interpretation of the MRD value. MRD negativity at pre-established protocol-appropriate time points guides continuance with consolidation/maintenance chemotherapy, whereas positivity leads to a change to a biological therapy such as blinatumomab and intensification of therapy to allogeneic stem cell transplant. Positivity after maintenance may herald impending relapse enabling treatment intervention. MRD has been integral to the introduction of novel agents and cellular therapies into clinical trials and standard of care, but the long-term predictive value of MRD on outcome of novel therapies is not yet established. Integration of somatic genetics with MRD may further improve accurate identification of patients with the lowest and highest risk of relapse.
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Affiliation(s)
- Jack Bartram
- Department of Haematology, Great Ormond Street Hospital for Children, London, UK; Cancer Section, DBC Programme, University College London, London, UK.
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Dix C, Lo TH, Clark G, Abadir E. Measurable Residual Disease in Acute Myeloid Leukemia Using Flow Cytometry: A Review of Where We Are and Where We Are Going. J Clin Med 2020; 9:E1714. [PMID: 32503122 PMCID: PMC7357042 DOI: 10.3390/jcm9061714] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 05/26/2020] [Accepted: 05/29/2020] [Indexed: 12/11/2022] Open
Abstract
The detection of measurable residual disease (MRD) has become a key investigation that plays a role in the prognostication and management of several hematologic malignancies. Acute myeloid leukemia (AML) is the most common acute leukemia in adults and the role of MRD in AML is still emerging. Prognostic markers are complex, largely based upon genetic and cytogenetic aberrations. MRD is now being incorporated into prognostic models and is a powerful predictor of relapse. While PCR-based MRD methods are sensitive and specific, many patients do not have an identifiable molecular marker. Immunophenotypic MRD methods using multiparametric flow cytometry (MFC) are widely applicable, and are based on the identification of surface marker combinations that are present on leukemic cells but not normal hematopoietic cells. Current techniques include a "different from normal" and/or a "leukemia-associated immunophenotype" approach. Limitations of MFC-based MRD analyses include the lack of standardization, the reliance on a high-quality marrow aspirate, and variable sensitivity. Emerging techniques that look to improve the detection of leukemic cells use dimensional reduction analysis, incorporating more leukemia specific markers and identifying leukemic stem cells. This review will discuss current methods together with new and emerging techniques to determine the role of MFC MRD analysis.
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Affiliation(s)
- Caroline Dix
- Institute of Haematology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
| | - Tsun-Ho Lo
- Dendritic Cell Research, ANZAC Research Institute, Concord, NSW 2139, Australia; (T.-H.L.); (G.C.)
- Immunology, Sydpath, St Vincent’s Hospital, Darlinghurst, NSW 2010, Australia
| | - Georgina Clark
- Dendritic Cell Research, ANZAC Research Institute, Concord, NSW 2139, Australia; (T.-H.L.); (G.C.)
- Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2039, Australia
| | - Edward Abadir
- Institute of Haematology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
- Dendritic Cell Research, ANZAC Research Institute, Concord, NSW 2139, Australia; (T.-H.L.); (G.C.)
- Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2039, Australia
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Hu W, Soper SA, Jackson JM. Time-Delayed Integration-Spectral Flow Cytometer (TDI-SFC) for Low-Abundance-Cell Immunophenotyping. Anal Chem 2019; 91:4656-4664. [PMID: 30817129 PMCID: PMC6554645 DOI: 10.1021/acs.analchem.9b00021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
We describe a unique flow cytometer (TDI-SFC) for the immunophenotyping of low-abundance cells, particularly when cell counts are sample-limited and operationally difficult for analysis by fluorescence microscopy (>100 cells) or multiparameter flow cytometry (MFC, <10 000 cells). TDI-SFC combines the high spectral resolution of spectral flow cytometry (SFC) with a CCD operated in time-delayed integration (TDI) for improved duty cycle and sensitivity. Cells were focused with a 1D-sheathing microfluidic device, and fluorescence emission generated from a 488 nm laser was collected by epi-illumination and dispersed along one axis of a CCD by a spectrograph. Along the other axis, the CCD's shift rate was clocked at a rate that closely matched the cells' velocity through the field of view. This TDI-SFC format allowed the CCD shutter to remain open during signal acquisition, providing a duty cycle ∼100% and assurance that ∼95% cells were interrogated. We used fluorescent beads to optimize synchronization of TDI clocking with the sheathed-cell velocity and to improve sensitivity via the excitation intensity, epi-illumination numerical aperture, and integration time. TDI achieved integrated signals of 106 counts at a signal-to-noise ratio (SNR) of 610 for beads corresponding to a load of 4 × 105 antibodies. We also evaluated multiplexing capabilities by spectral deconvolution and undertook a proof-of-concept application to immunophenotype low-abundance cells; the demonstration consisted of immunophenotyping a model cell line, in this case SUP-B15 cells representing B-cell acute lymphoblastic leukemia (B-ALL). The B-ALL cell line was stained against a leukemic marker (terminal deoxynucleotidyl transferase, TdT), and we successfully used spectral unmixing to discriminate TdT(+) cells from TdT(-) cells even at low cell counts (∼100 cells). The TDI-SFC could potentially be used in any application requiring the immunophenotyping of low-abundance cells, such as in monitoring measurable residual disease in acute leukemias following affinity enrichment of circulating leukemia cells from peripheral blood.
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Affiliation(s)
- Wenting Hu
- Department of Chemistry, University of Kansas, Lawrence, Kansas 66045, United States
- Center of BioModular Multi-Scale Systems for Precision Medicine (CBM), University of Kansas, Lawrence, Kansas 66045, United States
| | - Steven A. Soper
- Department of Chemistry, University of Kansas, Lawrence, Kansas 66045, United States
- Center of BioModular Multi-Scale Systems for Precision Medicine (CBM), University of Kansas, Lawrence, Kansas 66045, United States
- Department of Mechanical Engineering, University of Kansas, Lawrence, Kansas 66045, United States
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, Kansas 66160, United States
| | - J. Matt Jackson
- Department of Chemistry, University of Kansas, Lawrence, Kansas 66045, United States
- Center of BioModular Multi-Scale Systems for Precision Medicine (CBM), University of Kansas, Lawrence, Kansas 66045, United States
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