1
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Yu LY, Chen JY, Weng HJ, Lin HF, Zhang CJ, Yang LY, Lin JZ, Lin XH, Zhong GX. Cell-free transcription amplification-based split-type electrochemical sensor using enzyme-linked magnetic microbeads for minimal residual leukemia detection. Talanta 2025; 286:127551. [PMID: 39788075 DOI: 10.1016/j.talanta.2025.127551] [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: 11/07/2024] [Revised: 12/31/2024] [Accepted: 01/04/2025] [Indexed: 01/12/2025]
Abstract
Constrained by detecting techniques, patients with acute promyelocytic leukemia (APL) are often confronted with minimal residual disease (MRD) and a high risk of relapse. Thus, a pragmatic and robust method for MRD monitoring is urgently needed. Herein, a novel split-type electrochemical sensor (E-sensor) was developed by integrating nucleic acid sequence-based amplification (NASBA) with enzyme-linked magnetic microbeads (MMBs) for ultra-sensitive detection of the PML/RARα transcript. In this system, NASBA facilitated efficient amplification under isothermal conditions, generating a large amount of RNA amplicons, which mediated the quick binding between horseradish peroxidase (HRP) and MMBs. The separately HRP-linked MMBs were subsequently transferred onto the surface of magnetic glass carbon electrode, producing a remarkably strong electrochemical signal in the presence of the HRP substrate. The proposed split-type E-sensor could detect the PML/RARα transcript with a high sensitivity (a limit detection of 100 aM), a high specificity (single base discrimination) as well as a high stability (a relative standard deviation of 8.3 % for 10 fM target RNA and 6.0 % for 100 fM target RNA). Finally, it could achieve both direct detection of serum cell-free RNA and specific intracellular RNA detection. Owing to its isothermal characteristics, robustness, and suitability for point-of-care testing, this method offers a powerful tool for the early diagnosis of APL and the monitoring of MRD, which holds a great significance for facilitating treatment response assessment and making treatment decisions.
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Affiliation(s)
- Lu-Ying Yu
- Department of Pharmaceutical Analysis, Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Faculty of Pharmacy, Fujian Medical University, Fuzhou, 350122, China
| | - Jin-Yuan Chen
- The Central Laboratory, Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| | - Huan-Jiao Weng
- The Cancer Center, Union Hospital, Fujian Medical University, Fuzhou, Fujian, 350001, China
| | - Huang-Feng Lin
- Department of Orthopaedics, Fujian Provincial Institute of Orthopaedics, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| | - Chui-Ju Zhang
- Department of Orthopaedics, Fujian Provincial Institute of Orthopaedics, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| | - Liang-Yong Yang
- The Central Laboratory, Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| | - Ji-Zhen Lin
- The Cancer Center, Union Hospital, Fujian Medical University, Fuzhou, Fujian, 350001, China.
| | - Xin-Hua Lin
- Department of Pharmaceutical Analysis, Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Faculty of Pharmacy, Fujian Medical University, Fuzhou, 350122, China.
| | - Guang-Xian Zhong
- Department of Rehabilitation Medicine, School of Health, Fujian Medical University, Fuzhou, 350122, China; Department of Orthopaedics, Fujian Provincial Institute of Orthopaedics, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
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2
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Butler JT, Yashar WM, Swords R. Breaking the Bone Marrow Barrier: Peripheral Blood as a Gateway to Measurable Residual Disease Detection in Acute Myelogenous Leukemia. Am J Hematol 2025; 100:638-651. [PMID: 39777414 PMCID: PMC11886496 DOI: 10.1002/ajh.27586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Revised: 12/11/2024] [Accepted: 12/27/2024] [Indexed: 01/11/2025]
Abstract
Acute myeloid leukemia (AML) is a genetically heterogeneous disease with high rates of relapse after initial treatment. Identifying measurable residual disease (MRD) following initial therapy is essential to assess response, predict patient outcomes, and identify those in need of additional intervention. Currently, MRD analysis relies on invasive, serial bone marrow (BM) biopsies, which complicate sample availability and processing time and negatively impact patient experience. Additionally, finding a positive result can generate more questions than answers, causing anxiety for both the patient and the provider. Peripheral blood (PB) evaluation has shown promise in detecting MRD and is now recommended by the European Leukemia Net for AML for certain genetic abnormalities. PB-based sampling allows for more frequent testing intervals and better temporal resolution of malignant expansion while sparing patients additional invasive procedures. In this review, we will discuss the current state of PB testing for MRD evaluation with a focus on next-generation sequencing methodologies that are capable of MRD detection across AML subtypes.
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Affiliation(s)
- John T. Butler
- Radiation Medicine and Applied Science, Moores Cancer CenterUniversity of California San DiegoLa JollaCaliforniaUSA
| | - William M. Yashar
- Knight Cancer InstituteOregon Health & Science UniversityPortlandOregonUSA
- Division of Oncologic Sciences, Department of MedicineOregon Health & Science UniversityPortlandOregonUSA
- Department of Biomedical EngineeringOregon Health & Science UniversityPortlandOregonUSA
| | - Ronan Swords
- Division of Oncologic Sciences, Department of MedicineOregon Health & Science UniversityPortlandOregonUSA
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3
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Vonk CM, Grob T, Rijken M, Kavelaars FG, Konijnenburg JML, Ossenkoppele GJ, Manz MG, Havelange V, Fløisand Y, Löwenberg B, Valk PJM. Advantages of a genomic DNA-based next-generation sequencing assay for detection of mutant NPM1 measurable residual disease in AML. Blood Adv 2025; 9:1069-1077. [PMID: 39637308 DOI: 10.1182/bloodadvances.2024014490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Revised: 10/04/2024] [Accepted: 11/02/2024] [Indexed: 12/07/2024] Open
Abstract
ABSTRACT Mutations in the nucleophosmin-1 (NPM1) gene are among the most common molecular aberrations in acute myeloid leukemia (AML). Various studies have established mutant NPM1 (mNPM1) as a faithful molecular measurable residual disease (MRD) marker with prognostic significance. Assessment of prognostic mNPM1 is included in the European LeukemiaNet recommendations on MRD detection in AML. Because of recent advancements of promising drugs targeting mNPM1 AML, monitoring of mNPM1 MRD has gained interest, and is generally done by reverse transcriptase quantitative polymerase chain reaction (RT-qPCR). However, these RT-qPCR assays use complementary DNA (cDNA) as input, are based on gene expression levels of mNPM1, and are generally limited to specific mNPM1 gene variants. The main advantages of next-generation sequencing (NGS) using genomic DNA as input are stability, independence of gene expression levels, and the ability to detect any NPM1 variant in a single assay. Here, we comprehensively investigated the applicability of NGS on DNA to detect mNPM1 MRD in a cohort of 119 (cDNA) and 310 (DNA) patients with mNPM1 AML in complete remission after 2 cycles of induction chemotherapy. We demonstrate high correlations in levels and prognostic value between RT-qPCR/cDNA and NGS/DNA approaches, postulating NGS/DNA as an attractive alternative to RT-qPCR. We report that the 2% mNPM1/ABL1 threshold by RT-qPCR/cDNA corresponds to an NGS/DNA variant allele frequency of 0.01%. The NGS/DNA threshold of >0.01% after 2 cycles of induction chemotherapy identifies significantly more patients with AML with an increased relapse risk than current RT-qPCR/cDNA assays. The prognostic significance of mNPM1 MRD appears greatest in patients with AML with FLT3-internal tandem duplications.
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Affiliation(s)
- Christian M Vonk
- Department of Hematology, Erasmus Medical Center Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tim Grob
- Department of Hematology, Erasmus Medical Center Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Melissa Rijken
- Department of Hematology, Erasmus Medical Center Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - François G Kavelaars
- Department of Hematology, Erasmus Medical Center Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jolinda M L Konijnenburg
- Department of Hematology, Erasmus Medical Center Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Gert J Ossenkoppele
- Department of Hematology, Cancer Center Amsterdam, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Markus G Manz
- Department of Medical Oncology and Hematology, Comprehensive Cancer Center Zurich, University and University Hospital Zurich, Zurich, Switzerland
| | - Violaine Havelange
- Department of Hematology, Cliniques universitaires Saint-Luc, Brussels, Belgium
| | - Yngvar Fløisand
- Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Hematology, Oslo University Hospital, Oslo, Norway
| | - Bob Löwenberg
- Department of Hematology, Erasmus Medical Center Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Peter J M Valk
- Department of Hematology, Erasmus Medical Center Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
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4
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Short NJ, Dillon R. Measurable residual disease monitoring in AML: Prospects for therapeutic decision-making and new drug development. Am J Hematol 2025; 100 Suppl 2:5-15. [PMID: 39319951 PMCID: PMC11832336 DOI: 10.1002/ajh.27482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 08/02/2024] [Accepted: 09/09/2024] [Indexed: 09/26/2024]
Abstract
Measurable residual disease (MRD) is strongly associated with risk of relapse and long-term survival outcomes in patients with acute myeloid leukemia (AML). Apart from its clear prognostic impact, MRD information is also increasingly used to guide therapeutic decision-making, including selection of appropriate patients for stem cell transplant, use of post-transplant maintenance, and candidacy for non-transplant maintenance therapies or MRD-directed clinical trials. While much progress has been made in accurately assessing MRD and understanding its clinical importance, many questions remain about how to optimize MRD testing and guide treatment decisions for individual patients. In this review, we discuss the common methods to assess MRD in AML and the prognostic impact of MRD across common clinical scenarios. We also review emerging and investigational strategies to target MRD and discuss some of the important unanswered questions and challenges in the field.
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Affiliation(s)
- Nicholas J. Short
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Richard Dillon
- Department of Haematology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Cancer Genetics Laboratory, Department of Medical and Molecular Genetics, King’s College London, London, UK
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5
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Reuvekamp T, Ngai LL, den Hartog D, Carbaat-Ham J, Fayed MMHE, Scholten WJ, Mocking TR, Chitu DA, Pabst T, Klein SK, Stussi G, Griskevicius L, Breems D, van Lammeren-Venema D, Boersma R, Ossenkoppele GJ, van de Loosdrecht AA, Bachas C, Huls G, de Leeuw DC, Cloos J. CD34+CD38- leukemia stem cells predict clinical outcomes in acute myeloid leukemia patients treated non-intensively with hypomethylating agents. Leukemia 2025:10.1038/s41375-025-02539-0. [PMID: 40016301 DOI: 10.1038/s41375-025-02539-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Revised: 01/25/2025] [Accepted: 02/11/2025] [Indexed: 03/01/2025]
Affiliation(s)
- Tom Reuvekamp
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Hematology, Amsterdam UMC location Universiteit van Amsterdam, Amsterdam, The Netherlands
| | - Lok Lam Ngai
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Daphne den Hartog
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jannemieke Carbaat-Ham
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Mona M H E Fayed
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Willemijn J Scholten
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Tim R Mocking
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Dana A Chitu
- Hemato Oncology Foundation for Adults in the Netherlands, Rotterdam, The Netherlands
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Thomas Pabst
- Department of Oncology, University Hospital, Inselspital and University of Bern, Bern, Switzerland
| | - Saskia K Klein
- Department of Hematology, University Medical Center Groningen, Groningen, The Netherlands
- Department of Hematology, Meander Hospital Amersfoort, Amersfoort, The Netherlands
| | - Georg Stussi
- Department of Hematology, Ospedale Regionale, Bellinzona, Switzerland
| | - Laimonas Griskevicius
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, Vilnius University, Vilnius, Lithuania
| | - Dimitri Breems
- Department of Hematology, Ziekenhuis Netwerk Antwerpen (ZNA), Antwerp, Belgium
| | | | - Rinske Boersma
- Department of Hematology, Amphia Hospital, Breda, The Netherlands
| | - Gert J Ossenkoppele
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Arjan A van de Loosdrecht
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Costa Bachas
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Gerwin Huls
- Department of Hematology, University Medical Center Groningen, Groningen, The Netherlands
| | - David C de Leeuw
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jacqueline Cloos
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands.
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6
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de Azambuja AP, Beltrame MP, Malvezzi M, Schluga YC, Justus JLP, Lima ACM, Funke VAM, Bonfim C, Pasquini R. Impact of high-sensitivity flow cytometry on peri-transplant minimal residual disease kinetics in acute leukemia. Sci Rep 2025; 15:6942. [PMID: 40011589 DOI: 10.1038/s41598-025-91936-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/24/2025] [Indexed: 02/28/2025] Open
Abstract
Minimal residual disease (MRD) detected before hematopoietic cell transplantation (HCT) is associated with adverse outcomes in patients with high-risk acute leukemia. However, the ideal time points for post-transplant MRD assessment and the clinical significance of low levels of residual disease in this context are unclear. We conducted a prospective real-world analysis of high-sensitivity flow cytometry MRD performed before and after transplant (at days 30, 60 and 100) in 77 acute leukemia patients. The aim was to evaluate the kinetics of disease elimination and correlate it with transplant outcomes. Pre-transplant MRD was negative in 42 (MRD-) and positive in 35 patients (MRD+). Post-transplant MRD assessment was feasible at day 30 (n = 30, 38.9%), day 60 (n = 27, 35.0%) and day 100 (n = 60, 77.9%). Relapses occurred in 8 patients in the MRD + group (22.9%) and three in the MRD-negative group (7.1%), p = 0.02. Pre-transplant MRD correlated with a decrease in overall survival (OS; 87.9% MRD- vs. 54.0% MRD+) and event-free survival (EFS; 85.3% MRD- vs. 51.1% MRD+), p = 0.001. Cumulative incidence of relapse (CIR) was 17.5% in MRD + vs. 2.6% in MRD- (p = 0.049). Non-relapse mortality (NRM) was 31.4% in MRD + vs. 12.1% in MRD- (p = 0.019). One-year OS was higher in patients with negative MRD at d100 (92.4%, 95% CI: 0.81-0.971) than positive d100 MRD (53.3%, 95% CI: 0.177-0.796), p < 0.0001. Disease status and d100 MRD were associated with OS, EFS and CIR. Differences in NRM between leukemia types (ALL: 18.9% MRD- vs. 50% MRD+, and AML 0% MRD- vs. 21.7% MRD+, p = 0.0158) were also observed. In conclusion, pre-transplant MRD assessed by highly sensitive flow cytometry accurately identified patients with adverse prognoses. Persistent MRD after HCT could predict relapse with high specificity and clinical sensitivity. These results highlight the importance of incorporating peri-transplant MRD kinetics into the routine treatment of acute leukemia, particularly in low/middle-income countries.
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Affiliation(s)
- Ana Paula de Azambuja
- Bone Marrow Transplantation Unit, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil.
- Flow Cytometry Laboratory, Hospital de Clínicas Universidade Federal do Paraná, Avenida Nossa Senhora da Luz, 487, apto 601, 82510-020, Curitiba, Paraná, Brazil.
| | | | - Mariester Malvezzi
- Flow Cytometry Laboratory, Hospital de Clínicas Universidade Federal do Paraná, Avenida Nossa Senhora da Luz, 487, apto 601, 82510-020, Curitiba, Paraná, Brazil
| | - Yara Carolina Schluga
- Flow Cytometry Laboratory, Hospital de Clínicas Universidade Federal do Paraná, Avenida Nossa Senhora da Luz, 487, apto 601, 82510-020, Curitiba, Paraná, Brazil
| | - Julie Lillian Pimentel Justus
- Flow Cytometry Laboratory, Hospital de Clínicas Universidade Federal do Paraná, Avenida Nossa Senhora da Luz, 487, apto 601, 82510-020, Curitiba, Paraná, Brazil
| | | | | | - Carmem Bonfim
- Instituto de Pesquisa Pele Pequeno Príncipe/Faculdades Pequeno Principe Príncipe, Curitiba, Brazil
| | - Ricardo Pasquini
- Bone Marrow Transplantation Unit, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil
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7
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Tursky ML, Artuz CM, Rapadas M, Wittert GA, Molloy TJ, Ma DD. Error-corrected ultradeep next-generation sequencing for detection of clonal haematopoiesis and haematological neoplasms - sensitivity, specificity and accuracy. PLoS One 2025; 20:e0318300. [PMID: 40009600 PMCID: PMC11864513 DOI: 10.1371/journal.pone.0318300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Accepted: 01/13/2025] [Indexed: 02/28/2025] Open
Abstract
Clonal haematopoiesis of indeterminate potential (CHIP) is an aging-associated phenomenon that has recently been correlated with a broad spectrum of human diseases, including haematological malignancy, cytopenia, coronary heart disease, stroke, and overall mortality. CHIP is defined as a somatic variant in blood cells with an allele frequency (VAF) ≥ 0.02, however recent reports show smaller clones are associated with poorer clinical outcome. Error-corrected ultradeep next-generation sequencing (NGS) assays detecting variants < 0.02 VAF also have clinical value for monitoring measurable residual disease (MRD) for myeloid neoplasms. However, limited data are available on optimal parameters, limits of detection, and accuracy of ultra-sensitive detection. We investigated parameters to improve accuracy of Illumina sequencing-by-synthesis method, including read depth, input DNA quantity, and molecular barcoding-based data filtering, while adhering to clinical accreditation criteria. Validation data were generated from reference standards and reference samples from a clinically accredited pathology laboratory. Analytical range measurements included linearity and bias, and precision included repeatability, reproducibility and detection rate. The lower limit of detection was ≥ 0.004 (0.4%) at depth > 3,000 × . Trueness measured using reference standards demonstrated a sensitivity, specificity, positive and negative predictive values, and accuracy of 100%, including FLT3-ITD, and 100% concordance was achieved with reference samples for reported variants and absence of variants. Sequencing blood samples from 383 community-dwelling adults (mean depth 3758×) revealed 2,190 somatic variants/sample, > 99.9% were < 0.02 VAF. Our data including cost-benefit analysis enables pathology and research laboratories to make informed decisions for detection of CHIP (VAF ≥ 0.02), sub-CHIP (VAF 0.01-0.02) and MRD (VAF ≥ 0.004).
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Affiliation(s)
- Melinda L. Tursky
- Blood, Stem Cell, and Cancer Research Programme, St Vincent’s Centre for Applied Medical Research and Department of Haematology, St Vincent’s Hospital, Sydney, Australia
- School of Clinical Medicine, St Vincent’s Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia
| | - Crisbel M. Artuz
- Blood, Stem Cell, and Cancer Research Programme, St Vincent’s Centre for Applied Medical Research and Department of Haematology, St Vincent’s Hospital, Sydney, Australia
- School of Clinical Medicine, St Vincent’s Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia
| | - Melissa Rapadas
- Blood, Stem Cell, and Cancer Research Programme, St Vincent’s Centre for Applied Medical Research and Department of Haematology, St Vincent’s Hospital, Sydney, Australia
| | - Gary A. Wittert
- Freemasons Centre for Male Health and Well-Being, South Australian Health and Medical Research Institute and Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Timothy J. Molloy
- Blood, Stem Cell, and Cancer Research Programme, St Vincent’s Centre for Applied Medical Research and Department of Haematology, St Vincent’s Hospital, Sydney, Australia
- School of Clinical Medicine, St Vincent’s Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia
| | - David D. Ma
- Blood, Stem Cell, and Cancer Research Programme, St Vincent’s Centre for Applied Medical Research and Department of Haematology, St Vincent’s Hospital, Sydney, Australia
- School of Clinical Medicine, St Vincent’s Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia
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8
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Cluzeau T, Guolo F, Chiche E, Minetto P, Rahme R, Bertoli S, Fianchi L, Micol JB, Gottardi M, Peterlin P, Galimberti S, Thomas X, Rizzuto G, Legrand O, Rondoni M, Raffoux E, Bertani G, Caulier A, D’Argenio M, Bonmati C, Billio A, Lejeune C, Scappini B, Pigneux A, Zappasodi P, Recher C, Grimaldi F, Ades L, Lemoli RM. Long-term real-world evidence of CPX-351 of high-risk patients with AML identified high rate of negative MRD and prolonged OS. Blood Adv 2025; 9:752-758. [PMID: 39454204 PMCID: PMC11869862 DOI: 10.1182/bloodadvances.2024014279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 08/28/2024] [Accepted: 08/29/2024] [Indexed: 10/27/2024] Open
Abstract
ABSTRACT CPX-351 has been approved for patients with therapy-related acute myeloid leukemia (t-AML) or AML with myelodysplasia-related changes (MRC-AML). No extensive data are available on measurable residual disease (MRD) and long-term clinical outcome using CPX-351 in AML in real life. We retrospectively collected data from 168 patients in 36 centers in France and Italy who had received 1 or 2 cycles of induction with CPX-351. All patients were aged >18 years and had newly diagnosed, untreated t-AML or MRC-AML. With a median follow-up of 3 years, the median overall survival (OS) was 13.3 months. The median OS was 20.4 months vs 12.9 months for patients with MRD below or above 10-3, respectively (P = .006). In a multivariate analysis, only MRD >10-3 was associated with a poorer OS (hazard ratio, 2.6; 95% confidence interval, 1.2-5.5; P = .013). We also observed a trend toward a better median OS in patients who underwent hematopoietic stem cell transplantation with MRD <10-3 (not reached vs 26.0 months; P = .06). Achievement of MRD negativity contributed to the improvement of OS in the overall population and, maybe, in patients receiving transplant. These data provide the rationale for the 2 ongoing studies evaluating CPX-351 vs 7+3 in non-MRC-AML and non-t-AML using MRD as the primary end point for ALFA-2101 phase 2 clinical trial and event-free survival for AMLSG 30-18 phase 3 clinical trial.
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Affiliation(s)
- Thomas Cluzeau
- Hematology Department, Cote d’Azur University, Centre Hospitalier Universitaire Nice, Nice, France
- Hematology Department, Nice University Hospital, Nice, France
- Hematology Department Cote d’Azur University, Mediterranean Center for Molecular Medicine, Nice, France
| | - Fabio Guolo
- Department of Internal Medicine, Clinic of Hematology, University of Genoa, Genoa, Italy
- Department of Hematology and Oncology, Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Policlinico San Martino, Genoa, Italy
| | - Edmond Chiche
- Hematology Department, Cote d’Azur University, Centre Hospitalier Universitaire Nice, Nice, France
| | - Paola Minetto
- Department of Internal Medicine, Clinic of Hematology, University of Genoa, Genoa, Italy
| | - Ramy Rahme
- Senior Hematology Department, Hospital Saint-Louis, Université Paris Cité, INSERM U944, Paris, France
| | - Sarah Bertoli
- Hematology Department, Institut universitaire du cancer de Toulouse-Oncopole, Centre Hospitalier Universitaire Toulouse, Toulouse, France
| | - Luana Fianchi
- Hematology Department Istituto di Ematologia, Fondazione Policlinico Universitario A. Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
| | | | - Michele Gottardi
- Hematology Department, Istituto di Ricovero e Cura a Carattere Scientifico Istituto Oncologico Veneto, Castelfranco Veneto, Italy
| | - Pierre Peterlin
- Hematology Department, Centre Hospitalier Universitaire Nantes, Nantes, France
| | - Sara Galimberti
- Ospedaliera Universitaria Ematologia, Dipartimento di Medicina Clinica e Sperimentale, Università di Pisa, Pisa, Italy
| | - Xavier Thomas
- Hematology Department, Hopitaux civils de Lyon, Centre Hospitalier Universitaire Lyon, Lyon, France
| | - Giuliana Rizzuto
- Hematology and Bone Marrow Transplant Unit, Azienda Ospedaliera Universitaria Papa Giovanni XXIII, Bergamo, Italy
| | | | - Michela Rondoni
- Unità Operativa di Cancerologia di Ematologia, Azienda Unità Sanitaria Locale della Romagna, Ravenna, Italy
| | | | - Giambattista Bertani
- Hematology Department, S.C. Ematologia, ASST Grande Ospedale Metropolitano, Niguarda Ca' Granda Milano, Milan, Italy
| | - Alexis Caulier
- Department of Hematology, Centre Hospitalier Universitaire Amiens, Amiens, France
| | | | - Caroline Bonmati
- Hematology Department, centre hospitalier régional universitaire Nancy, Nancy, France
| | - Atto Billio
- Hematology Department, Ospedale di Bolzano, Bolzano, Italy
| | - Caroline Lejeune
- Hematology Department, L'institut de Cancérologie de la Loire, centre hospitalier universitaire Saint-Etienne, Saint-Etienne, France
| | - Barbara Scappini
- Dipartimento di Oncologia-SODc Ematologia, Azienda Ospedaliero - Universitaria Careggi, Florence, Italy
| | - Arnaud Pigneux
- Hematology Department, centre hospitalier universitaire Bordeaux, Bordeaux, France
| | - Patrizia Zappasodi
- Hematology Department, Clinica Ematologica, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy
| | - Christan Recher
- Hematology Department, Institut universitaire du cancer de Toulouse-Oncopole, Centre Hospitalier Universitaire Toulouse, Toulouse, France
| | - Francesco Grimaldi
- Dipartimento di Medicina Clinica e Chirurgia, Azienda Ospedaliera Universitaria Federico II di Napoli, Naples, Italy
| | - Lionel Ades
- Senior Hematology Department, Hospital Saint-Louis, Université Paris Cité, INSERM U944, Paris, France
| | - Roberto M. Lemoli
- Department of Internal Medicine, Clinic of Hematology, University of Genoa, Genoa, Italy
- Department of Hematology and Oncology, Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Policlinico San Martino, Genoa, Italy
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9
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Jen WY, Sasaki K, Ravandi F, Kadia TM, Wang SA, Wang W, Loghavi S, Daver NG, DiNardo CD, Issa GC, Abbas HA, Nasnas C, Bataller A, Urrutia S, Karrar OS, Pierce S, Kantarjian HM, Short NJ. Impact of measurable residual disease clearance kinetics in patients with AML undergoing intensive chemotherapy. Blood Adv 2025; 9:783-792. [PMID: 39631072 PMCID: PMC11869955 DOI: 10.1182/bloodadvances.2024013826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 11/04/2024] [Accepted: 11/12/2024] [Indexed: 12/07/2024] Open
Abstract
ABSTRACT The prognostic impact of measurable residual disease (MRD) in acute myeloid leukemia (AML) is unequivocal; however, the optimal time point for achieving undetectable MRD is unclear. We retrospectively studied patients with newly diagnosed (ND) AML who achieved remission with frontline intensive chemotherapy and had MRD assessed by flow cytometry after induction (time point 1 [TP1]) and after cycles 2 or 3 (TP2). Cases were grouped into MRD negative (Neg)/Neg, positive (Pos)/Neg, or Pos/Pos at TP1 and TP2, respectively. Of 1980 patients with ND AML, 277 met the inclusion criteria and were included in this analysis. The median relapse-free survival (RFS) was 73 months, 22 months, and 5 months for the MRD Neg/Neg, Pos/Neg, and Pos/Pos groups, respectively (P < .01). There was a significant difference between the Neg/Neg and Pos/Neg groups (P = .05), suggesting benefit to early MRD negativity. The median overall survival (OS) was 81 months, 40 months, and 9 months, respectively (P < .01), but the difference between Neg/Neg and Pos/Neg was not statistically significant (P = .19). Landmark analysis demonstrated the benefit of stem cell transplant (SCT), particularly in Neg/Neg intermediate-risk AML (median RFS, not reached vs 15 months; P < .01). On multivariable analysis, MRD Pos/Neg was independently associated with a worse RFS than Neg/Neg (hazard ratio, 1.73; 95% confidence interval, 1.09-2.75; P = .02) but not for OS (P = .15). In conclusion, undetectable flow MRD after induction is associated with better RFS than undetectable MRD achieved later during consolidation. SCT benefited patients with intermediate-risk AML, regardless of MRD kinetics.
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Affiliation(s)
- Wei-Ying Jen
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Koji Sasaki
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Tapan M. Kadia
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sa A. Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wei Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sanam Loghavi
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Naval G. Daver
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Courtney D. DiNardo
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ghayas C. Issa
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hussein A. Abbas
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Cedric Nasnas
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Alex Bataller
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Samuel Urrutia
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Omer S. Karrar
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sherry Pierce
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hagop M. Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Nicholas J. Short
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
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10
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Selheim F, Aasebø E, Reikvam H, Bruserud Ø, Hernandez-Valladares M. Proteomic Comparison of Acute Myeloid Leukemia Cells and Normal CD34 + Bone Marrow Cells: Studies of Leukemia Cell Differentiation and Regulation of Iron Metabolism/Ferroptosis. Proteomes 2025; 13:11. [PMID: 39982321 PMCID: PMC11843884 DOI: 10.3390/proteomes13010011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2025] [Revised: 02/05/2025] [Accepted: 02/14/2025] [Indexed: 02/22/2025] Open
Abstract
Acute myeloid leukemia (AML) is an aggressive bone marrow malignancy that can be cured only by intensive chemotherapy possibly combined with allogeneic stem cell transplantation. We compared the pretreatment proteomic profiles of AML cells derived from 50 patients at the time of first diagnosis with normal CD34+ bone marrow cells. A comparison based on all AML and CD34+ normal cell populations identified 121 differentially abundant proteins that showed at least 2-fold differences, and these proteins included several markers of neutrophil differentiation (e.g., TLR2, the integrins ITGM and ITGX, and downstream mediators including RHO GTPase, S100A8, S100A9, S100A22). However, the expression of these 121 proteins varied between patients, and a subset of 28 patients was characterized by increased long-term AML-free survival, signs of myeloid AML cell differentiation, and favorable genetic abnormalities. These two main patient subsets (28 with differentiation versus 22 with fewer signs of differentiation) also differed with regard to the phosphorylation of 16 differentially abundant proteins. Furthermore, we also classified our patients based on their expression of 16 proteins involved in the regulation of iron metabolism/ferroptosis and showing differential expression when comparing AML cells and normal CD34+ cells. Among the 22 patients with less favorable prognosis, we could then identify a genetically heterogeneous subset characterized by adverse prognosis (i.e., death from primary resistance/relapse) and an iron metabolism/ferroptosis protein profile showing similarities with normal CD34+ cells. We conclude that proteomic profiles differ between AML and normal CD34+ cells; especially, proteomic differences reflecting differentiation and regulation of iron metabolism/ferroptosis are associated with risk of relapse after intensive conventional therapy.
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Affiliation(s)
- Frode Selheim
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (F.S.); (M.H.-V.)
| | - Elise Aasebø
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (E.A.); (H.R.)
| | - Håkon Reikvam
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (E.A.); (H.R.)
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5009 Bergen, Norway
| | - Øystein Bruserud
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (E.A.); (H.R.)
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5009 Bergen, Norway
| | - Maria Hernandez-Valladares
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (F.S.); (M.H.-V.)
- Department of Physical Chemistry, University of Granada, Avenida de la Fuente Nueva S/N, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
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11
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Gang M, Othus M, Walter RB. Significance of Measurable Residual Disease in Patients Undergoing Allogeneic Hematopoietic Cell Transplantation for Acute Myeloid Leukemia. Cells 2025; 14:290. [PMID: 39996762 PMCID: PMC11853423 DOI: 10.3390/cells14040290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Accepted: 02/12/2025] [Indexed: 02/26/2025] Open
Abstract
Allogeneic hematopoietic cell transplantation (HCT) remains an important curative-intent treatment for many patients with acute myeloid leukemia (AML), but AML recurrence after allografting is common. Many factors associated with relapse after allogeneic HCT have been identified over the years. Central among these is measurable ("minimal") residual disease (MRD) as detected by multiparameter flow cytometry, quantitative polymerase chain reaction, and/or next-generation sequencing. Demonstration of a strong, independent prognostic role of pre- and early post-HCT MRD has raised hopes MRD could also serve as a predictive biomarker to inform treatment decision-making, with emerging data indicating the potential value to guide candidacy assessment for allografting as a post-remission treatment strategy, the selection of conditioning intensity, use of small molecule inhibitors as post-HCT maintenance therapy, and preemptive infusion of donor lymphocytes. Monitoring for leukemia recurrence after HCT and surrogacy for treatment response are other considerations for the clinical use of MRD data. In this review, we will outline the current landscape of MRD as a biomarker for patients with AML undergoing HCT and discuss areas of uncertainty and ongoing research.
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Affiliation(s)
- Margery Gang
- Hematology and Oncology Fellowship Program, Fred Hutchinson Cancer Center, University of Washington, Seattle, WA 98109, USA;
| | - Megan Othus
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA;
| | - Roland B. Walter
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
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12
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Gyan E, Minden MD, Kubo K, Rambaldi A, Juliusson G, Jädersten M, Kelly RJ, Szerafin L, He W, Gill SC, Hill JE, Chen C, Delgado D, Hasabou N. Maintenance therapy with the FMS-like tyrosine kinase 3 inhibitor gilteritinib in patients with FMS-like tyrosine kinase 3-internal tandem duplication acute myeloid leukemia: A phase 2 study. Cancer 2025; 131:e35746. [PMID: 39945223 PMCID: PMC11822735 DOI: 10.1002/cncr.35746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Revised: 11/05/2024] [Accepted: 12/09/2024] [Indexed: 02/16/2025]
Abstract
BACKGROUND The GOSSAMER phase 2 study assessed the FMS-like tyrosine kinase 3 (FLT3) inhibitor gilteritinib as maintenance therapy in patients with FLT3-internal tandem duplication (FLT3-ITD) acute myeloid leukemia (AML) in first complete remission without previous hematopoietic stem cell transplantation (HSCT). METHODS Patients had to be within 2 months of their last consolidation cycle and have completed the recommended number of cycles per local practice. FLT3 inhibitors were allowed only during induction and/or consolidation. The primary end point was relapse-free survival (RFS). Secondary end points included overall survival (OS), event-free survival, and measurable residual disease (MRD). RESULTS In total, 98 patients were randomized (gilteritinib, n = 63; placebo, n = 35). RFS was not significantly different between the arms (hazard ratio, 0.74; 95% confidence interval, 0.41-1.34; p = .16). RFS rates for the gilteritinib and placebo arms were 68.5% and 55.3% at 1 year, 51.8% and 44.9% at 2 years, and 41.2% and 40.8% at 3 years, respectively. OS was not significantly different between the arms but may have been affected by subsequent AML therapies after discontinuation. In patients who received subsequent therapy (gilteritinib, 46.8%; placebo, 60.0%), a higher percentage of placebo-treated (57.1%) versus gilteritinib-treated patients (27.6%) underwent HSCT. At the end of treatment, 96.4% of gilteritinib-treated and 85.7% of placebo-treated patients had undetectable MRD. Relapsed placebo-treated (86.7%) versus gilteritinib-treated patients (34.8%) had a greater FLT3 mutational burden. No new significant safety concerns were noted. CONCLUSIONS The primary end point was not achieved; however, an observed trend toward potential benefit was noted in patients with FLT3-ITD AML who had not undergone prior HSCT.
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Affiliation(s)
- Emmanuel Gyan
- Department of Hematology and Cell TherapyUniversity Hospital of ToursUMR Institut National de la Santé et de la Recherche Médicale (INSERM) 1079 N2COx, CIC INSERM U1415ToursFrance
| | - Mark D. Minden
- Department of Medical Oncology and HematologyPrincess Margaret HospitalTorontoOntarioCanada
| | - Kohmei Kubo
- Department of HematologyAomori Prefectural Central HospitalAomoriJapan
| | - Alessandro Rambaldi
- Department of Oncology‐HematologyUniversity of Milan and Azienda Socio Sanitaria Territoriale Papa Giovanni XXIIIBergamoItaly
| | | | - Martin Jädersten
- Department of HematologyKarolinska University HospitalStockholmSweden
- Department of Medicine, HuddingeCenter for Hematology and Regenerative MedicineKarolinska InstitutetStockholmSweden
| | | | - László Szerafin
- Department of HematologyHospitals of County Szabolcs‐Szatmár‐Bereg and University Teaching HospitalNyíregyházaHungary
| | - Wensheng He
- Medical & DevelopmentAstellas Pharma Inc.NorthbrookIllinoisUSA
| | - Stanley C. Gill
- Medical & DevelopmentAstellas Pharma Inc.NorthbrookIllinoisUSA
| | - Jason E. Hill
- Medical & DevelopmentAstellas Pharma Inc.NorthbrookIllinoisUSA
| | - Caroline Chen
- Medical & DevelopmentAstellas Pharma Inc.NorthbrookIllinoisUSA
| | - David Delgado
- Medical & DevelopmentAstellas Pharma Inc.NorthbrookIllinoisUSA
| | - Nahla Hasabou
- Medical & DevelopmentAstellas Pharma Inc.NorthbrookIllinoisUSA
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13
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Shimony S, Stahl M, Stone RM. Acute Myeloid Leukemia: 2025 Update on Diagnosis, Risk-Stratification, and Management. Am J Hematol 2025. [PMID: 39936576 DOI: 10.1002/ajh.27625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Revised: 01/23/2025] [Accepted: 01/25/2025] [Indexed: 02/13/2025]
Abstract
DISEASE OVERVIEW Acute myeloid leukemia (AML) is a bone marrow stem cell cancer that is often fatal despite available treatments. Diagnosis, risk assessment, monitoring, and therapeutic management of AML have changed dramatically in the last decade due to increased pathophysiologic understanding, improved assessment technology, and the addition of at least 12 approved therapies. DIAGNOSIS The diagnosis is based on the presence of immature leukemia cells in the blood, and/or bone marrow or less often in extra-medullary tissues. New biological insights have been integrated into recent classification systems. RISK ASSESSMENT The European Leukemia Network has published risk classification algorithms for both intensively and non-intensively treated patients based on cytogenetic and on molecular findings. Prognostic factors may differ based on the therapeutic approach. MONITORING Our increasing ability to quantify lower levels of measurable residual disease (MRD) potentially allows better response assessment, as well as dynamic monitoring of disease status. The incorporation of MRD findings into therapeutic decision-making is rapidly evolving. RISK ADAPTED THERAPY The availability of 12 newly approved agents has been welcomed; however, optimal strategies incorporating newer agents into therapeutic algorithms are debated. The overarching approach integrates patient and caregiver goals of care, comorbidities, and disease characteristics.
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Affiliation(s)
- Shai Shimony
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Maximilian Stahl
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Richard M Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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14
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Ali N, Othus M, Rodríguez-Arbolí E, Orvain C, Milano F, Sandmaier BM, Davis C, Basom RS, Appelbaum FR, Walter RB. Measurable residual disease as predictor of post-day +100 relapses after allografting in adult AML. Blood Adv 2025; 9:558-570. [PMID: 39374582 PMCID: PMC11821400 DOI: 10.1182/bloodadvances.2024013214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 08/09/2024] [Accepted: 09/24/2024] [Indexed: 10/09/2024] Open
Abstract
ABSTRACT Measurable residual disease (MRD) by multiparametric flow cytometry (MFC) before allogeneic hematopoietic cell transplantation (HCT) identifies patients at high risk of acute myeloid leukemia (AML) relapse, often occurring early after allografting. To examine the role of MFC MRD testing to predict later relapses, we examined 935 adults with AML or myelodysplastic neoplasm/AML transplanted in first or second morphologic remission who underwent bone marrow restaging studies between day 70 and 100 after HCT and were alive and without relapse by day +100. Of 935 adults, 136 (15%) had MRD before HCT, whereas only 11 (1%) had MRD at day +70 to +100. In day +100 landmark analyses, pre-HCT and day +70 to +100 MFC MRD were both associated with relapse (both P < .001), relapse-free survival (RFS; both P < .001) overall survival (OS; both P < .001), and, for post-HCT MRD, nonrelapse mortality (P = .001) after multivariable adjustment. Importantly, although 126/136 patients (92%) with MRD before HCT tested negative for MRD at day +70 to +100, their outcomes were inferior to those without MRD before HCT and at day +70 to +100, with 3-year relapse risk of 40% vs 15% (P < .001), 3-year RFS of 50% vs 72% (P < .001), and 3-year OS of 56% vs 76% (P < .001), whereas 3-year nonrelapse mortality estimates were similar (P = .53). Thus, despite high MRD conversion rates, outcomes MRD positive/MRD negative (MRDneg) patients are inferior to those of MRDneg/MRDneg patients, suggesting all patients with pre-HCT MRD should be considered for preemptive therapies after allografting.
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Affiliation(s)
- Naveed Ali
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - Megan Othus
- Public Health Science Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Eduardo Rodríguez-Arbolí
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Hematology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla, University of Seville, Seville, Spain
| | - Corentin Orvain
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Service des Maladies du Sang, Centre Hospitalier Universitaire d'Angers, Angers, France
- Fédération Hospitalière-Universitaire Grand Ouest Against Leukemia (FHU-GOAL), Angers, France
- Université d'Angers, INSERM Unité Mixte de Recherche (UMR) 1307, Centre National de la Recherche Scientifique (CNRS) UMR 6075, Nantes Université, Centre de Recherche en Cancérologie et Immunologie intégrée de Nantes-Angers (CRCI2NA), Angers, France
| | - Filippo Milano
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Brenda M. Sandmaier
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Chris Davis
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Ryan S. Basom
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Frederick R. Appelbaum
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - Roland B. Walter
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
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15
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Roshal M, Gao Q. Flow cytometry evaluation of acute myeloid leukemia minimal residual disease based on an understanding of the normal maturation patterns in the blast compartments. Am J Clin Pathol 2025:aqae187. [PMID: 39921543 DOI: 10.1093/ajcp/aqae187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Accepted: 01/03/2025] [Indexed: 02/10/2025] Open
Abstract
OBJECTIVE Detection of minimal/measurable disease (MRD) in acute myeloid leukemia (AML) is critical for both clinical decision-making and prognostication, yet remains a challenge. Flow cytometry is a well-established method for MRD detection. Flow cytometric (FC) evaluation of MRD must consider a complex maturational pattern of normal hematopoietic development to separate normal from abnormal progenitors. Here, we offer an example of an interpretive approach based on a thorough understanding of stage- and lineage-specific hematopoietic maturation. METHODS We provide a comprehensive overview of blast maturation from early precursors (hematopoietic stem cells) to committed late-stage unilineage progenitors and commonly observed stage-specific abnormalities based on cases we have encountered in practice. We emphasize the importance of stage-specific comparisons for accurate MRD detection by flow cytometry. RESULTS The AML blasts almost invariably show abnormal phenotypes, and the phenotypes may evolve upon therapy. The detected phenotypes are necessarily confined to the target antigens included in the panel. It is therefore critical to evaluate a range of antigens to establish a specific stage/state of lineage commitment and detect potential common abnormalities. Moreover, enough cells must be acquired to allow for the detection of MRD at desired levels. Significant technical and analytical validation is critical. CONCLUSIONS Flow cytometry offers a powerful single-cell-based platform for MRD detection in AML, and the results have been proven critical for disease management. Leukemia-associated phenotype-informed difference from the normal approach presented in this review presents an analytical framework for sensitive and accurate MRD detection.
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Affiliation(s)
- Mikhail Roshal
- Division of Hematopathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, US
| | - Qi Gao
- Division of Hematopathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, US
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16
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Roy A, Brander DM, Hill EG, Halabi S. Statistical Perspectives and Meta-Analytic Approaches in Surrogate End Point Evaluation for Chronic Lymphocytic Leukemia. J Clin Oncol 2025; 43:365-368. [PMID: 39666937 DOI: 10.1200/jco-24-01881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Revised: 10/16/2024] [Accepted: 10/30/2024] [Indexed: 12/14/2024] Open
Affiliation(s)
- Akash Roy
- Medical University of South Carolina, Charleston, SC
| | - Danielle M Brander
- Department of Medicine, Duke University, Duke Cancer Institute, Durham, NC
| | - Elizabeth G Hill
- Medical University of South Carolina, Hollings Cancer Center, Charleston, SC
| | - Susan Halabi
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC
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17
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Gui G, Ravindra N, Hegde PS, Andrew G, Mukherjee D, Wong Z, Auletta JJ, El Chaer F, Chen EC, Chen YB, Corner A, Devine SM, Iyer SG, Jimenez Jimenez AM, De Lima MJG, Litzow MR, Kebriaei P, Saber W, Spellman SR, Zeger SL, Page KM, Dillon LW, Hourigan CS. Measurable residual mutated IDH2 before allogeneic transplant for acute myeloid leukemia. Bone Marrow Transplant 2025; 60:144-153. [PMID: 39455897 PMCID: PMC11810785 DOI: 10.1038/s41409-024-02449-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 10/09/2024] [Accepted: 10/15/2024] [Indexed: 10/28/2024]
Abstract
Routine genetic profiling of acute myeloid leukemia (AML) at initial diagnosis has allowed subgroup specific prognostication, drug development, and clinical management strategies. The optimal approach for treatment response assessment for AML subgroups has not yet however been determined. A nationwide cohort of 257 adult patients in first remission (CR1) from AML associated with an IDH2 mutation (IDH2m) undergoing allogeneic transplant during the period 2013-2019 in the United States had rates of relapse and survival three years after transplantation of 24% and 71%, respectively. Pre-transplant clinical flow cytometry assessment was not useful in stratifying patients based on risk of post-transplant relapse or death. DNA-sequencing was performed on CR1 blood collected within 100 days before transplant. Persistent detection of IDH2m was common (51%) and associated with increased relapse and death compared to testing negative. Co-mutation at initial diagnosis with mutated NPM1 and/or FLT3-ITD was common in this cohort (41%) and use of these validated MRD markers provided superior stratification compared to IDH2m testing. Patients testing negative for IDH2m prior to transplant had low relapse-related death, regardless of conditioning intensity. Post-transplant relapse rates for those with persistently detectable IDH2m in pre-transplant remission were lower after the FDA approval of enasidenib in August 2017.
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Affiliation(s)
- Gege Gui
- Fralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, DC, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Niveditha Ravindra
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pranay S Hegde
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Georgia Andrew
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Devdeep Mukherjee
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zoë Wong
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jeffery J Auletta
- Center for International Blood and Marrow Transplant Research, NMDP, Minneapolis, MN, USA
- The Ohio State University College of Medicine, Columbus, OH, USA
| | | | - Evan C Chen
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yi-Bin Chen
- Massachusetts General Hospital, Boston, MA, USA
| | | | - Steven M Devine
- Center for International Blood and Marrow Transplant Research, NMDP, Minneapolis, MN, USA
| | - Sunil G Iyer
- Columbia University Irving Medical Center, New York, NY, USA
| | | | | | | | - Partow Kebriaei
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wael Saber
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, NMDP, Minneapolis, MN, USA
| | - Scott L Zeger
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kristin M Page
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Laura W Dillon
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Christopher S Hourigan
- Fralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, DC, USA.
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18
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Shaffer BC, Kebriaei P, de Lima M, Jimenez Jimenez AM. Measurable residual disease testing and allogeneic hematopoietic cell transplantation for AML: adapting Pre-MEASURE to clinical practice. Bone Marrow Transplant 2025; 60:128-134. [PMID: 39562717 PMCID: PMC11810777 DOI: 10.1038/s41409-024-02481-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 11/11/2024] [Accepted: 11/13/2024] [Indexed: 11/21/2024]
Abstract
Measurable residual disease (MRD) testing in patients with acute myelogenous leukemia (AML) represents a heterogenous assessment process designed to quantify leukemia-specific biomarkers that are not ascertainable by routine pathologic evaluation. The most common tools used to assess MRD are multiparameter flow cytometry (MPFC), and polymerase chain reaction (PCR) based tools, including quantitative or digital droplet PCR (qPCR, ddPCR), or next-generation sequencing (NGS) technologies. Collectively, MRD assessments have become an important clinical tool in the management of patients with AML. Despite progress, significant questions remain with respect to the appropriate timing, frequency, and methodology of MRD assessment, and whether or how to adapt therapy based on MRD results. Recent data from the Pre-MEASURE study, a retrospective cohort analysis of error corrected NGS based MRD assessment prior to allogeneic hematopoietic cell transplantation (alloHCT) in patients with AML, provides additional key information with respect to the emerging role of NGS-based technology in MRD assessment. In the context of this review, we evaluate the Pre-MEASURE study as well as other recent, high-quality assessments of MRD in AML. Our focus is to provide a practical assessment of the use of emerging MRD technologies in patients with AML with an emphasis on the role of peri-transplant MRD for the practicing clinician.
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Affiliation(s)
- Brian C Shaffer
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Partow Kebriaei
- Department of Stem Cell Transplantation and Cellular Therapy, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcos de Lima
- Division of Hematology and Oncology, and Stem Cell Transplant Program, Case Western Reserve University, Cleveland, OH, USA
| | - Antonio M Jimenez Jimenez
- Division of Transplantation and Cell Therapy, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA.
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19
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Gui G, Ravindra N, Hegde PS, Andrew G, Mukherjee D, Wong Z, Auletta JJ, El Chaer F, Chen EC, Chen YB, Corner A, Devine SM, Iyer SG, Jimenez Jimenez AM, De Lima MJG, Litzow MR, Kebriaei P, Saber W, Spellman SR, Zeger SL, Page KM, Dillon LW, Hourigan CS. Measurable residual mutated IDH1 before allogeneic transplant for acute myeloid leukemia. Bone Marrow Transplant 2025; 60:154-160. [PMID: 39506075 PMCID: PMC11810766 DOI: 10.1038/s41409-024-02447-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 10/09/2024] [Accepted: 10/11/2024] [Indexed: 11/08/2024]
Abstract
Measurable residual disease (MRD) in adults with acute myeloid leukemia (AML) in complete remission is an important prognostic marker, but detection methodology requires optimization. Persistence of mutated NPM1 or FLT3-ITD in the blood of adult patients with AML in first complete remission (CR1) prior to allogeneic hematopoietic cell transplant (alloHCT) associates with increased relapse and death after transplant. The prognostic implications of persistence of other common AML-associated mutations, such as IDH1, at this treatment landmark however remain incompletely defined. We performed testing for residual IDH1 variants (IDH1m) in pre-transplant CR1 blood of 148 adult patients undergoing alloHCT for IDH1-mutated AML at a CIBMTR reporting site between 2013 and 2019. No statistically significant post-transplant differences were observed between those testing IDH1m positive (n = 53, 36%) and negative pre-transplant (overall survival (OS): p = 0.4; relapse: p = 0.5). For patients with IDH1 mutated AML co-mutated with NPM1 and/or FLT3-ITD, only detection of persistent mutated NPM1 and/or FLT3-ITD was associated with significantly higher rates of relapse (p = 0.01). These data, from the largest study to date, do not support the detection of IDH1 mutation in CR1 blood prior to alloHCT as evidence of AML MRD for increased post-transplant relapse risk.
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Affiliation(s)
- Gege Gui
- Fralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, DC, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Niveditha Ravindra
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pranay S Hegde
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Georgia Andrew
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Devdeep Mukherjee
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zoë Wong
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jeffery J Auletta
- Center for International Blood and Marrow Transplant Research, NMDP, Minneapolis, MN, USA
- The Ohio State University College of Medicine, Columbus, OH, USA
| | | | - Evan C Chen
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yi-Bin Chen
- Massachusetts General Hospital, Boston, MA, USA
| | | | - Steven M Devine
- Center for International Blood and Marrow Transplant Research, NMDP, Minneapolis, MN, USA
| | - Sunil G Iyer
- Columbia University Irving Medical Center, New York, NY, USA
| | | | | | | | - Partow Kebriaei
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wael Saber
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, NMDP, Minneapolis, MN, USA
| | - Scott L Zeger
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kristin M Page
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Laura W Dillon
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Christopher S Hourigan
- Fralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, DC, USA.
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20
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Cao J, Hu B, Li T, Fang D, Jiang L, Wang J. Cellular heterogeneity and cytokine signatures in acute myeloid leukemia: A novel prognostic model. Transl Oncol 2025; 52:102194. [PMID: 39689517 PMCID: PMC11719339 DOI: 10.1016/j.tranon.2024.102194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Revised: 10/30/2024] [Accepted: 11/04/2024] [Indexed: 12/19/2024] Open
Abstract
Acute Myeloid Leukemia (AML) is a complex hematological malignancy distinguished by its heterogeneity in genetic aberrations, cellular composition, and clinical outcomes. This diversity complicates the development of effective, universally applicable therapeutic strategies and highlights the necessity for personalized approaches to treatment. In our study, we utilized high-resolution single-cell RNA sequencing from publicly available datasets to dissect the complex cellular landscape of AML. This approach uncovered a diverse array of cellular subpopulations within the bone marrow samples of AML patients. Through meticulous analysis, we identified 156 differentially expressed cytokine-related genes that underscore the nuanced interplay between AML cells and their microenvironment. Leveraging this comprehensive dataset, we constructed a prognostic risk score model based on seven pivotal cytokine-related genes: CCL23, IL2RA, IL3RA, IL6R, INHBA, TNFSF15, and TNFSF18. The mRNA levels of 7 genes in the risk score model have significant different. This model was rigorously validated across several independent AML patient cohorts, showcasing its robust prognostic capability to stratify patients into distinct risk categories. Patients classified under the high-risk category exhibited significantly poorer survival outcomes compared to their low-risk counterparts, underscoring the model's clinical relevance. Additionally, our in-depth investigation into the immune landscape revealed marked differences in immune cell infiltration and cytokine signaling between the identified risk groups, shedding light on potential immune-mediated mechanisms driving disease progression and treatment resistance. This comprehensive analysis not only advances our understanding of the cellular and molecular underpinnings of AML but also introduces a novel, clinically applicable risk score model. This tool holds significant promise for enhancing the precision of prognostic assessments in AML, thereby paving the way for more tailored and effective therapeutic interventions. Our findings represent a pivotal step toward the realization of personalized medicine in the management of AML, offering new avenues for research and treatment optimization in this challenging disease landscape.
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Affiliation(s)
- Jinxia Cao
- Department of Hematology, Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Wuling District, Changde, Hunan Province, China
| | - Bin Hu
- Department of Hematology, Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Wuling District, Changde, Hunan Province, China
| | - Tianqi Li
- Department of Hematology, Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Wuling District, Changde, Hunan Province, China
| | - Dan Fang
- Department of Hematology, Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Wuling District, Changde, Hunan Province, China
| | - Ling Jiang
- Department of Hematology, Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Wuling District, Changde, Hunan Province, China
| | - Jun Wang
- Department of Hematology, Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Wuling District, Changde, Hunan Province, China.
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21
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Oñate G, Garrido A, Arnan M, Pomares H, Alonso E, Tormo M, Diaz-Beya M, Vives S, Zamora L, Sampol A, Coll R, Salamero O, Cervera M, Garcia A, Vall-Llovera F, Garcia-Avila S, Bargay J, Ortin X, Iranzo E, Guijarro F, Pratcorona M, Nomdedeu JF, Esteve J, Sierra J. Diverse real-life outcomes after intensive risk-adapted therapy for 1034 AML patients from the CETLAM Group. Blood Cancer J 2025; 15:4. [PMID: 39799145 PMCID: PMC11724937 DOI: 10.1038/s41408-024-01205-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Revised: 11/27/2024] [Accepted: 12/06/2024] [Indexed: 01/15/2025] Open
Abstract
Given the heterogeneity of acute myeloid leukemia patients, it is necessary to identify patients considered fit for intensive therapy but who will perform poorly, and in whom alternative approaches deserve investigation. We analyzed 1034 fit adults ≤70 years intensively treated between 2012 and 2022 in the CETLAM group. Young adults ( ≤ 60 years) presented higher remission rates and improved survival than older adults above that age (CR 79% vs. 73%; p = 0.03 and 4-yr OS 53% vs. 33%; p < 0.001). Remission and survival outcomes varied among different genetic subsets. An especially adverse genetic group included complex, monosomal karyotype, TP53 alterations (deleted/mutated), and MECOMr. Transplant feasibility in this very adverse risk group was low, and OS and EFS at 4 years were 14% and 12%, in contrast to 70% and 57% in the favorable group and 38% and 32% in all other patients. We integrated clinical and genetic data into the Intensive Chemotherapy Score for AML (ICSA) with 6-risk categories with significantly different remission rates and OS, validated in another cohort of 581 AML patients from a previous CETLAM protocol. In summary, we identified groups of fit patients that benefit differently from an intensive approach which may be helpful in future treatment decisions.
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Affiliation(s)
- Guadalupe Oñate
- Hospital de la Santa Creu i Sant Pau. Institut d'investigació Biomèdica Sant Pau (IIB SANT PAU) Department of Medicine, Universitat Autonoma of Barcelona, Barcelona, Spain
| | - Ana Garrido
- Hospital de la Santa Creu i Sant Pau. Institut d'investigació Biomèdica Sant Pau (IIB SANT PAU) Department of Medicine, Universitat Autonoma of Barcelona, Barcelona, Spain
| | - Montserrat Arnan
- Institut Catala d'Oncologia, Hospital Duran i Reynals, Institut d'Investigacio Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, University of Barcelona, Barcelona, Spain
| | - Helena Pomares
- Institut Catala d'Oncologia, Hospital Duran i Reynals, Institut d'Investigacio Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, University of Barcelona, Barcelona, Spain
| | - Ester Alonso
- Institut Catala d'Oncologia, Hospital Duran i Reynals, Institut d'Investigacio Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, University of Barcelona, Barcelona, Spain
| | - Mar Tormo
- Hospital Clinico Universitario, Biomedical Research Institute INCLIVA, Valencia, Spain
| | - Marina Diaz-Beya
- Hospital Clinic. August Pi i Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Susana Vives
- Institut Catala d'Oncologia, Hospital Germans Trias i Pujol. Josep Carreras Leukemia Research Institute, Badalona, Universitat Autonoma of Barcelona, Barcelona, Spain
| | - Lurdes Zamora
- Institut Catala d'Oncologia, Hospital Germans Trias i Pujol. Josep Carreras Leukemia Research Institute, Badalona, Universitat Autonoma of Barcelona, Barcelona, Spain
| | | | - Rosa Coll
- Institut Català d'Oncologia, Hospital Josep Trueta, Girona, Spain
| | - Olga Salamero
- Hospital Universitari Vall d'Hebron and Institute of Oncology (VHIO), Universitat Autonoma of Barcelona, Barcelona, Spain
| | - Marta Cervera
- Institut Catala d'Oncologia, Hospital Joan XXIII, Tarragona, Spain
| | - Antoni Garcia
- Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | | | | | | | | | - Eva Iranzo
- Hospital de la Santa Creu i Sant Pau. Institut d'investigació Biomèdica Sant Pau (IIB SANT PAU) Department of Medicine, Universitat Autonoma of Barcelona, Barcelona, Spain
| | - Francisca Guijarro
- Hospital Clinic. August Pi i Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Marta Pratcorona
- Hospital de la Santa Creu i Sant Pau. Institut d'investigació Biomèdica Sant Pau (IIB SANT PAU) Department of Medicine, Universitat Autonoma of Barcelona, Barcelona, Spain
| | - Josep F Nomdedeu
- Hospital de la Santa Creu i Sant Pau. Institut d'investigació Biomèdica Sant Pau (IIB SANT PAU) Department of Medicine, Universitat Autonoma of Barcelona, Barcelona, Spain
| | - Jordi Esteve
- Hospital Clinic. August Pi i Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Jorge Sierra
- Hospital de la Santa Creu i Sant Pau. Institut d'investigació Biomèdica Sant Pau (IIB SANT PAU) Department of Medicine, Universitat Autonoma of Barcelona, Barcelona, Spain.
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22
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Sun Y, Han X, Zhang Y, Fu W, Fang Y, Liu J, Xu L, Wang T, Zhong H. Prognostic Value of Dynamic Measurable Residual Disease Monitoring by Multiflowcytometry in Elderly Patients With Nonintensively Treated Acute Myeloid Leukemia. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2025:S2152-2650(24)02470-4. [PMID: 39863462 DOI: 10.1016/j.clml.2024.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Revised: 12/29/2024] [Accepted: 12/30/2024] [Indexed: 01/27/2025]
Abstract
PURPOSE The clinical prognostic value of monitoring minimal residual disease (MRD) in acute myeloid leukemia (AML) patients undergoing nonintensive treatment remains insufficiently established. The aim of this work was to examine MRD status at various time points, highlighting the potential for pre-emptive therapy to improve patient outcomes. METHODS Inpatient data from 2017 to 2024 were used in this retrospective study. Bone marrow samples were analyzed for MRD using multiparametric flow cytometry at the end of cycles 1, 2, 4, and 7, before the next therapy course. Kaplan-Meier method and Cox regression were used to assess factors affecting overall survival (OS) and disease-free survival (DFS), and logistic regression evaluated the interaction between MRD and baseline features. RESULTS A total of 108 patients were enrolled for MRD evaluation. MRD1, MRD2, MRD4, and MRD7 was significantly associated with both OS and DFS. Early MRD negativity leads to longer survival time, and the later MRD turns negative, the higher the risk of relapse, and ELN 2017 high risk and myeloid gene mutation are adverse factors affecting time to MRD negative status. CONCLUSION Dynamic MRD monitoring has predictive value for nonintensive treatment in AML patients. Proper use of MRD and baseline features allows treatment adjustments based on an accurate estimation of relapse risk.
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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
| | - XiaoFeng Han
- Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - YiWei Zhang
- Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - WanBin Fu
- Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Yi Fang
- Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Jia Liu
- Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Lan Xu
- Department of Hematology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Ting Wang
- 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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23
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Reuvekamp T, Janssen LLG, Ngai LL, Carbaat-Ham J, den Hartog D, Scholten WJ, Kelder A, Hanekamp D, Wensink E, van Gils N, Gradowska P, Löwenberg B, Ossenkoppele GJ, van de Loosdrecht AA, Westers TM, Smit L, Bachas C, Cloos J. The role of the primitive marker CD133 in CD34-negative acute myeloid leukemia for the detection of leukemia stem cells. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2025; 108:23-34. [PMID: 39177948 DOI: 10.1002/cyto.b.22201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 07/23/2024] [Accepted: 08/02/2024] [Indexed: 08/24/2024]
Abstract
The most important reason for dismal outcomes in acute myeloid leukemia (AML) is the development of relapse. Leukemia stem cells (LSCs) are hypothesized to initiate relapse, and high CD34+CD38- LSC load is associated with poor prognosis. In 10% of AML patients, CD34 is not or is low expressed on the leukemic cells (<1%), and CD34+CD38- LSCs are absent. These patients are classified as CD34-negative. We aimed to determine whether the primitive marker CD133 can detect LSCs in CD34-negative AML. We retrospectively quantified 148 CD34-negative patients for proportions of CD34-CD133+ and CD133+CD38- cell fractions in the diagnostic samples of CD34-negative patients in the HOVON102 and HOVON132 trials. No prognostic difference was found between patients with high or low proportions of CD34-CD133+, which is found to be aberrantly expressed in AML. A high level of CD133+CD38- cells was not associated with poor overall survival, and expression in AML was similar to normal bone marrow. To conclude, CD133 is useful as an additional primitive marker for the detection of leukemic blast cells in CD34-negative AML. However, CD133+CD38 alone is not suitable for the detection of LSCs at diagnosis.
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Affiliation(s)
- Tom Reuvekamp
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Hematology, Amsterdam UMC location Universiteit van Amsterdam, Amsterdam, The Netherlands
| | - Luca L G Janssen
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Lok Lam Ngai
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jannemieke Carbaat-Ham
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Daphne den Hartog
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Willemijn J Scholten
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Angèle Kelder
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Diana Hanekamp
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Hematology, Erasmus MC Cancer Institute and University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Eliza Wensink
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location Universiteit van Amsterdam, Amsterdam, The Netherlands
| | - Noortje van Gils
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Patrycja Gradowska
- Department of Hematology, Erasmus MC Cancer Institute and University Medical Center Rotterdam, Rotterdam, The Netherlands
- HOVON Foundation, Rotterdam, The Netherlands
| | - Bob Löwenberg
- Department of Hematology, Erasmus MC Cancer Institute and University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Gert J Ossenkoppele
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Arjan A van de Loosdrecht
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Theresia M Westers
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Linda Smit
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Costa Bachas
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jacqueline Cloos
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
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24
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El Chaer F, Perissinotti AJ, Loghavi S, Zeidan AM. Pre-emptive therapeutic decisions based on measurable residual disease status in acute myeloid leukemia: ready for prime time? Leukemia 2025; 39:1-7. [PMID: 39496917 DOI: 10.1038/s41375-024-02458-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 10/25/2024] [Accepted: 10/29/2024] [Indexed: 11/06/2024]
Abstract
The use of measurable residual disease (MRD) as a biomarker for prognostication, risk stratification, and therapeutic decision-making in acute myeloid leukemia (AML) is gaining prominence. MRD monitoring for NPM1-mutated and core-binding factor AML using PCR techniques is well-established for assessing disease after intensive chemotherapy. AML with persistent FLT3-ITD MRD post-intensive chemotherapy and pre-allogeneic hematopoietic cell transplantation (pre-allo-HCT) is associated with an increased risk of relapse and lower survival. Pre-allo-HCT MRD is an independent risk factor for post-allo-HCT outcomes, including relapse and death. Therefore, preemptive interventions on the natural history of MRD positivity are an active area of research beyond its initial prognostic function. Targeting MRD in AML with innovative treatment strategies can improve patient outcomes.
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Affiliation(s)
- Firas El Chaer
- Department of Medicine, Division of Hematology and Oncology, University of Virginia, Charlottesville, VA, USA
| | - Anthony J Perissinotti
- Department of Clinical Pharmacy, Michigan Medicine and the University of Michigan College of Pharmacy, Ann Arbor, MI, USA
| | - Sanam Loghavi
- Department of Leukemia and Hematopathology, The University of Texas, MD Anderson, Houston, TX, USA
| | - Amer M Zeidan
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine and Yale Comprehensive Cancer Center, Yale University, New Haven, CT, USA.
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25
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Kantarjian HM, DiNardo CD, Kadia TM, Daver NG, Altman JK, Stein EM, Jabbour E, Schiffer CA, Lang A, Ravandi F. Acute myeloid leukemia management and research in 2025. CA Cancer J Clin 2025; 75:46-67. [PMID: 39656142 PMCID: PMC11745214 DOI: 10.3322/caac.21873] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Revised: 11/04/2024] [Accepted: 11/06/2024] [Indexed: 01/30/2025] Open
Abstract
The first 5 decades of research in acute myeloid leukemia (AML) were dominated by the cytarabine plus anthracyclines backbone, with advances in strategies including allogeneic hematopoietic stem cell transplantation, high-dose cytarabine, supportive care measures, and targeted therapies for the subset of patients with acute promyelocytic leukemia. Since 2017, a turning point in AML research, 12 agents have received regulatory approval for AML in the United States: venetoclax (BCL2 inhibitor); gemtuzumab ozogamicin (CD33 antibody-drug conjugate); midostaurin, gilteritinib, and quizartinib (fms-like tyrosine kinase 3 inhibitors); ivosidenib, olutasidenib, and enasidenib (isocitrate dehydrogenase 1 and 2 inhibitors); oral azacitidine (a partially absorbable formulation); CPX351 (liposomal encapsulation of cytarabine:daunorubicin at a molar ratio of 5:1); glasdegib (hedgehog inhibitor); and recently revumenib (menin inhibitor; approved November 2024). Oral decitabine-cedazuridine, which is approved as a bioequivalent alternative to parenteral hypomethylating agents in myelodysplastic syndrome, can be used for the same purpose in AML. Menin inhibitors, CD123 antibody-drug conjugates, and other antibodies targeting CD123, CD33, and other surface markers are showing promising results. Herein, the authors review the frontline and later line therapies in AML and discuss important research directions.
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Affiliation(s)
- Hagop M. Kantarjian
- Department of LeukemiaThe University of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Courtney D. DiNardo
- Department of LeukemiaThe University of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Tapan M. Kadia
- Department of LeukemiaThe University of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Naval G. Daver
- Department of LeukemiaThe University of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Jessica K. Altman
- Division of Hematology/OncologyDepartment of MedicineRobert H. Lurie Comprehensive Cancer CenterNorthwestern UniversityChicagoIllinoisUSA
| | - Eytan M. Stein
- Leukemia ServiceDepartment of MedicineMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Elias Jabbour
- Department of LeukemiaThe University of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Charles A. Schiffer
- Karmanos Cancer CenterWayne State University School of MedicineDetroitMichiganUSA
| | - Amy Lang
- START Center for Cancer CareSan AntonioTexasUSA
| | - Farhad Ravandi
- Department of LeukemiaThe University of Texas MD Anderson Cancer CenterHoustonTexasUSA
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Sweet K, Cluzeau T. Clinical perspectives on post-induction maintenance therapy in patients with acute myeloid leukaemia in remission who are ineligible for allogeneic haematopoietic stem cell transplantation. Br J Haematol 2025; 206:61-68. [PMID: 39622271 PMCID: PMC11739750 DOI: 10.1111/bjh.19924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 11/15/2024] [Indexed: 01/19/2025]
Abstract
For patients with acute myeloid leukaemia (AML) who achieve complete remission (CR) after induction therapy, subsequent allogeneic haematopoietic stem cell transplantation (allo-HSCT) reduces the risk of relapse. However, not all patients are eligible, warranting effective alternative maintenance strategies. Oral azacitidine is the only non-targeted therapy approved by both the United States (US) Food and Drug Administration and the European Medicines Agency for the maintenance or continued treatment of allo-HSCT-ineligible patients with AML achieving CR or CR with incomplete haematological recovery following induction chemotherapy. Midostaurin and histamine dihydrochloride are approved in Europe as maintenance therapy for AML in remission, and quizartinib is approved in the United States and Europe for the treatment and maintenance of patients with newly diagnosed FLT3-ITD AML. Barriers to maintenance treatment include limited clinical trial data informing appropriate patient and treatment selection, patient preference, financial burden and paucity of real-world data. This article discusses current maintenance treatment guidelines for patients with AML in remission but not proceeding to allo-HSCT and reviews clinical trial data for agents approved for use in remission. Ongoing studies of interest and considerations for future efforts are also discussed.
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Affiliation(s)
- Kendra Sweet
- H. Lee Moffitt Cancer Center and Research InstituteTampaFloridaUSA
| | - Thomas Cluzeau
- Université Cote d'AzurCHU de Nice, Service d'hématologieNiceFrance
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Zhang C, Gu R, Wang H, Zhou C, Li Y, Liu Y, Wei S, Lin D, Liu K, Fang Q, Gong X, Gong B, Qiu S, Zhang G, Liu B, Wang Y, Mi Y, Wei H, Wang J. Risk stratification in the clinical application of minimal residual disease assessment in acute myeloid leukemia. Cancer 2025; 131:e35641. [PMID: 39522053 DOI: 10.1002/cncr.35641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 10/07/2024] [Accepted: 10/07/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND In acute myeloid leukemia (AML), further investigation is warranted to integrate measurable residual disease (MRD) with genetic characteristics for formulating a dynamic prognostic system for predicting response and selecting appropriate postremission therapeutic strategies. METHODS The authors incorporated MRD with genetic risk classification and assessed its impact on transplantation decision making within different risk cohorts, comprising 769 patients with newly diagnosed AML across three clinical trials. Only patients who achieved complete remission (CR) within two courses of chemotherapy were selected. RESULTS In the favorable-risk and intermediate-risk groups, patients who underwent transplantation according to the protocol experienced significant 3-year overall survival (OS) benefits compared with those who did not (favorable-risk group: hazard ratio [HR], 0.38; 95% confidence interval [CI], 0.20-0.73l p = .004; intermediate-risk group: HR, 0.53; 95% CI, 0.33-0.85; p = .008). In the intermediate-risk group, early detection of MRD positivity, even after the initial course of chemotherapy, was associated with a significantly elevated cumulative incidence of relapse (47.2% vs. 36.0%; p = .009) and a notable extension of OS with allogeneic hematopoietic stem cell transplantation (HR, 0.47; 95% CI, 0.28-0.79; p = .004). Conversely, patients who achieved MRD negativity at either of the two time points had comparable OS in the favorable-risk and intermediate-risk groups, regardless of whether they underwent transplant or not. In the adverse-risk group, allogeneic hematopoietic stem cell transplantation led to improvements in OS irrespective of MRD status (HR, 0.51; 95% CI, 0.38-0.69; p < .001). CONCLUSIONS Early clearance of MRD demonstrated significant prognostic value, particularly for patients in the favorable-risk and intermediate-risk groups. Positive MRD status after two courses of intensive chemotherapy were associated with a higher relapse rate and inferior OS, necessitating allogeneic hematopoietic stem cell transplantation.
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Affiliation(s)
- Congxiao Zhang
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Runxia Gu
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Huijun Wang
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Chunlin Zhou
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yan Li
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yuntao Liu
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuning Wei
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Dong Lin
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Kaiqi Liu
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Qiuyun Fang
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiaoyuan Gong
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Benfa Gong
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shaowei Qiu
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Guangji Zhang
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Bingcheng Liu
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Ying Wang
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yingchang Mi
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Hui Wei
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jianxiang Wang
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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Álvarez Flores MB, Sopeña Corvinos M, Guillén Santos R, Cava Valenciano F. High-Sensitivity Flow Cytometry for the Reliable Detection of Measurable Residual Disease in Hematological Malignancies in Clinical Laboratories. Diseases 2024; 12:338. [PMID: 39727668 PMCID: PMC11727296 DOI: 10.3390/diseases12120338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Revised: 11/26/2024] [Accepted: 12/19/2024] [Indexed: 12/28/2024] Open
Abstract
BACKGROUND Monitoring of measurable residual disease (MRD) requires highly sensitive flow cytometry protocols to provide an accurate prediction of shorter progression-free survival. High assay sensitivity generally requires rapid processing to avoid cell loss from small bone marrow sample volumes, but this requirement conflicts with the need in most clinical cytometry laboratories for long processing and acquisition times, especially when multiple MRD studies coincide on the same day. METHODS The proposed protocol was applied to 226 human bone marrow and 45 peripheral blood samples submitted for the study of MRD or the detection of rare cells. Samples were processed within 24 h of extraction and acquired with an eight-color flow cytometer. RESULTS The FACSLyse-Bulk protocol allows for the labelling of millions of cells in under 90 min in small sample volumes without affecting the FSC/SSC pattern or antigen expression, and it also allows antigens to be fixed to the membrane, thus avoiding the capping phenomenon. CONCLUSIONS The proposed protocol would allow clinical flow cytometry laboratories to perform MRD studies in house and easily achieve a limit of detection and limit of quantification <0.001%, thus avoiding the need to outsource analysis to specialized cytometry laboratories.
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Affiliation(s)
| | - María Sopeña Corvinos
- URSalud Laboratory, Hospital Universitario Infanta Sofia, 28702 Madrid, Spain; (M.S.C.); (R.G.S.); (F.C.V.)
| | - Raquel Guillén Santos
- URSalud Laboratory, Hospital Universitario Infanta Sofia, 28702 Madrid, Spain; (M.S.C.); (R.G.S.); (F.C.V.)
| | - Fernando Cava Valenciano
- URSalud Laboratory, Hospital Universitario Infanta Sofia, 28702 Madrid, Spain; (M.S.C.); (R.G.S.); (F.C.V.)
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Mocking TR, Kelder A, Reuvekamp T, Ngai LL, Rutten P, Gradowska P, van de Loosdrecht AA, Cloos J, Bachas C. Computational assessment of measurable residual disease in acute myeloid leukemia using mixture models. COMMUNICATIONS MEDICINE 2024; 4:271. [PMID: 39702555 DOI: 10.1038/s43856-024-00700-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Accepted: 12/05/2024] [Indexed: 12/21/2024] Open
Abstract
BACKGROUND The proportion of residual leukemic blasts after chemotherapy assessed by multiparameter flow cytometry, is an important prognostic factor for the risk of relapse and overall survival in acute myeloid leukemia (AML). This measurable residual disease (MRD) is used in clinical trials to stratify patients for more or less intensive consolidation therapy. However, an objective and reproducible analysis method to assess MRD status from flow cytometry data is lacking, yet is highly anticipated for broader implementation of MRD testing. METHODS We propose a computational pipeline based on Gaussian mixture modeling that allows a fully automated assessment of MRD status while remaining completely interpretable for clinical diagnostic experts. Our pipeline requires limited training data, which makes it easily transferable to other medical centers and cytometry platforms. RESULTS We identify all healthy and leukemic immature myeloid cells in with high concordance (Spearman's Rho = 0.974) and classification performance (median F-score = 0.861) compared to manual analysis. Using control samples (n = 18), we calculate a computational MRD percentage with high concordance to expert gating (Spearman's rho = 0.823) and predict MRD status in a cohort of 35 AML follow-up measurements with high accuracy (97%). CONCLUSIONS We demonstrate that our pipeline provides a powerful tool for fast (~3 s) and objective automated MRD assessment in AML.
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Affiliation(s)
- Tim R Mocking
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Angèle Kelder
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Tom Reuvekamp
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Hematology, Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands
| | - Lok Lam Ngai
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Philip Rutten
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Patrycja Gradowska
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
- HOVON Foundation, Rotterdam, The Netherlands
| | - Arjan A van de Loosdrecht
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jacqueline Cloos
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Costa Bachas
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands.
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Radich J. Mutations and MRD: clinical implications of clonal ontogeny. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2024; 2024:150-157. [PMID: 39644022 DOI: 10.1182/hematology.2024000541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/09/2024]
Abstract
Measurable residual disease (MRD) is a strong but imprecise predictor of relapse in acute myeloid leukemia. Many patients fall into the outlier categories of MRD positivity without relapse or MRD negativity with relapse. Why? We will discuss these states in the context of "clonal ontogeny" examining how mutations, clonal structure, and Darwinian rules impact response, resistance, and relapse.
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Affiliation(s)
- Jerald Radich
- Translational Science & Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
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31
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Zhao Z, Lan J. Detection methods and prognosis implications of measurable residual disease in acute myeloid leukemia. Ann Hematol 2024; 103:4869-4881. [PMID: 39283479 DOI: 10.1007/s00277-024-06008-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 09/11/2024] [Indexed: 01/16/2025]
Abstract
Measurable residual disease (MRD) in acute myeloid leukemia (AML) refers to the quantity of residual leukemic cells in a patient after treatment.According to the latest agreements, MRD in AML offering essential prognostic insights. However, there is ongoing debate regarding MRD-based monitoring and treatment strategies. There are multiple platforms for detecting MRD, each varying in sensitivity and suitability for different patients. MRD not only predicts treatment outcomes but also serves as an indicator of treatment effectiveness and a prognostic biomarker. In AML, most retrospective studies indicate that patients who are MRD-positive or show increasing MRD levels at specific time points during remission have significantly higher risks of relapse and mortality compared to MRD-negative patients. Although achieving MRD-negative status can improve patient prognosis, the possibility of relapse remains. Despite the correlation between MRD and clinical outcomes, MRD assessment methods are not yet standardized, leading to discrepancies in results across different techniques. To provide reliable MRD results, it is essential to optimize and standardize MRD detection methods. Methods for assessing MRD include multiparameter flow cytometry (MFC) and molecular assays, chosen based on disease characteristics. This review focuses on currently available MRD detection methods and discusses how the prognostic value of MRD test results informs personalized treatment strategies for AML patients.
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Affiliation(s)
- Zihan Zhao
- The Second Clinical Medical College, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Jianping Lan
- Cancer Center, Department of Hematology, Affiliated People's Hospital, Zhejiang Provincial People's Hospital, Hangzhou Medical College, 58 Shangtang Road, Zhejiang, Hangzhou, 310014, China.
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32
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Wang Z, Liu T, Li Y, Li Z, Bi K. Increased Th17 and Treg levels in peripheral blood positively correlate with minimal residual disease in acute myeloid leukaemia. Hematology 2024; 29:2346971. [PMID: 38682816 DOI: 10.1080/16078454.2024.2346971] [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: 04/24/2023] [Accepted: 04/18/2024] [Indexed: 05/01/2024] Open
Abstract
PURPOSE Immune dysregulation plays a key role in acute myeloid leukemia (AML). We aimed to explore the correlation between T helper cell 17 (Th17) and the regulatory cells (Tregs) in the peripheral blood of patients with newly diagnosed (ND) AML and bone marrow blast cells, as well as minimal residual disease (MRD) before and after treatment. METHODS Changes in Th17 and Treg cells in the peripheral blood of 32 patients with ND AML were observed before and after induction chemotherapy with cytarabine for seven days and anthracycline for three days. The levels of inflammatory cytokines were measured using an enzyme-linked immunosorbent assay. Correlation analysis between bone marrow blast cells and Th17 and Treg cell frequencies was performed using the Pearson's correlation test. Frequencies of Th17 and Treg cells and MRD were assessed using flow cytometry. RESULTS IL-6, IL-10, IL-17A, and GM-CSF levels gradually increased in patients with ND AML and CR and NR patients. The percentages of Th17 and Treg cells positively correlated with those of blast cells. In addition, the frequencies of Th17 and Treg cells in MRD-positive patients were higher than those in MRD-negative patients at the initial induction and after three months of chemotherapy. The frequencies of Tregs and Th17 cells positively correlated with MRD onset. CONCLUSION Increased Th17 and Treg cell levels were positively correlated with onset of AML, poor remission, and MRD.
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Affiliation(s)
- Zhimin Wang
- Department of Hematology, Shandong Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan City, People's Republic of China
- Department of Hematology, Binzhou People's Hospital, Binzhou City, People's Republic of China
| | - Tangxia Liu
- Department of Hematology, Binzhou People's Hospital, Binzhou City, People's Republic of China
| | - Yanru Li
- Department of Hematology, Binzhou People's Hospital, Binzhou City, People's Republic of China
| | - Zunchang Li
- Department of Hematology, Binzhou People's Hospital, Binzhou City, People's Republic of China
| | - Kehong Bi
- Department of Hematology, Shandong Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan City, People's Republic of China
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Sastow D, Levavi H, Wagner N, Pratz K, Tremblay D. Ven the dose matters: Venetoclax dosing in the frontline treatment of AML. Blood Rev 2024; 68:101238. [PMID: 39217050 DOI: 10.1016/j.blre.2024.101238] [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: 07/15/2024] [Revised: 08/08/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024]
Abstract
Older/unfit adults with AML have worse outcomes and fewer treatment options than their younger/fit counterparts. In vitro studies have found a synergistic effect of hypomethylating agents (HMA) with venetoclax (VEN) on AML cells and since the phase 3 VIALE-A trial demonstrated a survival benefit, HMA + VEN has become the standard of care in the frontline setting for older/unfit adults with AML. Unfortunately, the standard 28-day cycle of VEN is associated with a high degree of myelosuppression leading to treatment delays and dose modifications. Many small retrospective studies have successfully shown comparable outcomes to VIALE-A with reduced dose/duration of VEN. Furthermore, low dose metronomic dosing of HMA + VEN has shown clinical benefit while minimizing myelotoxicity. Future trials are vital to understand the appropriate dose of VEN in combination with HMA, to evaluate HMA + VEN compared to intensive therapy for younger/fit patients, and to explore its utility in the relapsed/refractory setting.
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Affiliation(s)
- Dahniel Sastow
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hannah Levavi
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole Wagner
- Division of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Keith Pratz
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Douglas Tremblay
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Wery AR, Salaroli A, Andreozzi F, Paesmans M, Dewispelaere L, Heimann P, Wittnebel S, Lewalle P. Measurable residual disease assessment prior to allogeneic hematopoietic stem cell transplantation in acute myeloid leukemia and myelodysplastic syndromes: a 20-year monocentric study. Ann Hematol 2024; 103:4671-4685. [PMID: 39365357 DOI: 10.1007/s00277-024-06017-y] [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: 06/28/2024] [Accepted: 09/17/2024] [Indexed: 10/05/2024]
Abstract
Patients with acute myeloid leukemia (AML) or myelodysplastic syndromes (MDS) who undergo allogeneic hematopoietic stem-cell transplantation (alloHSCT) can have divergent survival outcomes while all in morphological complete remission (CR). Techniques of measurable residual disease (MRD) have allowed us to refine their prognosis in two categories: MRD-positive and MRD-negative patients. We conducted a monocentric retrospective study (01/2000-12/2020) to assess the prognosis of pretransplant MRD status measured by multiparametric flow cytometry (MFC) and molecular biology assessed by PCR. 192 patients were included. The median follow-up period was 77 months. Among patients undergoing alloHSCT in CR, overall survival (median-OS: 130.6 vs. 16.0 months, P < 0.001), disease-free survival (median-DFS: 109.6 vs. 7.1 months, P < 0.001) and cumulative incidence of relapse (12-month CIR: 7.3% vs. 33.7%, P < 0.0001) were significantly different between MRD-negative and MRD-positive patients. Patients with discordant intermethod results had intermediate DFS. MRD-negative patients according to molecular PCR-based techniques, WT1 overexpression and MFC had longer median-DFS, compared to MRD-positive patients (P = 0.001, P < 0.001, P < 0.001, respectively). Looking into subgroups, MRD-positive patients among the ELN2017 adverse-category (P < 0.0001), myeloablative and reduced-intensity conditioning regimens (P < 0.0001, P = 0.005), < 60-year patients (P < 0.001) and AML patients (P < 0.001) were associated with lower DFS. This difference was not found in ≥ 60-year patients (P = 0.27) and MDS patients (P = 0.70). MRD-positive patients within the favorable/intermediate ELN2017 category trended toward lower DFS (P = 0.05). We confirmed that MRD status prior to alloHSCT is a strong prognostic factor for OS, DFS and CIR. Combining MFC and molecular-PCR techniques to assess MRD seems primordial as inter-method discordance can be consequential.
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Affiliation(s)
- Alexandre-Raphael Wery
- Department of Hematology, Institut Jules Bordet, Rue Meylemeersch, 90. 1070, Brussels, Belgium.
| | - Adriano Salaroli
- Department of Hematology, Institut Jules Bordet, Rue Meylemeersch, 90. 1070, Brussels, Belgium
| | - Fabio Andreozzi
- Department of Hematology, Institut Jules Bordet, Rue Meylemeersch, 90. 1070, Brussels, Belgium
| | - Marianne Paesmans
- Information Management Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Laurent Dewispelaere
- Laboratory of Hematology, LHUB-ULB, Université Libre de Bruxelles, Brussels, Belgium
| | - Pierre Heimann
- Laboratory of Hematology, LHUB-ULB, Université Libre de Bruxelles, Brussels, Belgium
| | - Sebastian Wittnebel
- Department of Hematology, Institut Jules Bordet, Rue Meylemeersch, 90. 1070, Brussels, Belgium
| | - Philippe Lewalle
- Department of Hematology, Institut Jules Bordet, Rue Meylemeersch, 90. 1070, Brussels, Belgium
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Tedjaseputra A, Russell N, Dillon R. SOHO State of the Art Updates and Next Questions: Pre-emptive Therapy at Molecular Measurable Residual Disease Failure in Acute Myeloid Leukemia. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2024; 24:737-751. [PMID: 38734498 DOI: 10.1016/j.clml.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 05/13/2024]
Abstract
Molecular measurable residual disease (MRD, eg, by real-time quantitative polymerase chain reaction, RT-qPCR), is an integral part of response assessment in acute myeloid leukemia (AML) with established prognostic and evolving therapeutic significance. MRD failure can occur through several pathways (namely MRD persistence at the end of treatment at a high level, MRD progression from a low level or MRD re-emergence during follow up; the latter two constitute MRD relapse as defined by the European Leukemia Net) and is clinically actionable, with survival benefit reported in AML subgroups. Selection of pre-emptive therapy at MRD failure relies upon an integrated clinico-molecular assessment and is subset-specific. In acute promyelocytic leukemia, arsenic trioxide-based regimen for MRD failure following frontline treatment with all-trans-retinoic acid plus chemotherapy represents standard of care, while hypomethylating agents (eg, azacitidine), salvage chemotherapy (eg, FLAG-IDA) and venetoclax-based regimens are effective in NPM1-mutated AML. Specific inhibitors of FLT3 have emerging use in FLT3-mutated AML and are associated with minimal toxicity. Furthermore, immunotherapeutic approaches such as donor lymphocyte infusions and interferon-⍺ are efficacious options in the post-allogeneic-HSCT settings. Enrollment into clinical trials with genomic-guided assignment of pre-emptive therapy at MRD failure should be prioritized. Finally, with the emergence of novel agents (eg, menin inhibitors) and approaches (eg, adoptive cellular and immunological therapy), an exciting future lies ahead where a broad array of highly active pre-emptive therapeutic options will likely be clinically applicable to a wide range of AML subsets.
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Affiliation(s)
- Aditya Tedjaseputra
- Department of Haematology, Guy's and St Thomas' NHS Foundation Trust, London, UK; Cancer Genetics Laboratory, Department of Medical and Molecular Genetics, King's College London, London, UK; Monash Haematology, Melbourne, Australia
| | - Nigel Russell
- Department of Haematology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Richard Dillon
- Department of Haematology, Guy's and St Thomas' NHS Foundation Trust, London, UK; Cancer Genetics Laboratory, Department of Medical and Molecular Genetics, King's College London, London, UK.
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Mo X, Zhang W, Fu G, Chang Y, Zhang X, Xu L, Wang Y, Yan C, Shen M, Wei Q, Yan C, Huang X. Single-cell immune landscape of measurable residual disease in acute myeloid leukemia. SCIENCE CHINA. LIFE SCIENCES 2024; 67:2309-2322. [PMID: 39034351 DOI: 10.1007/s11427-024-2666-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 06/26/2024] [Indexed: 07/23/2024]
Abstract
Measurable residual disease (MRD) is a powerful prognostic factor of relapse in acute myeloid leukemia (AML). We applied the single-cell RNA sequencing to bone marrow (BM) samples from patients with (n=20) and without (n=12) MRD after allogeneic hematopoietic stem cell transplantation. A comprehensive immune landscape with 184,231 cells was created. Compared with CD8+ T cells enriched in the MRD-negative group (MRD-_CD8), those enriched in the MRD-positive group (MRD+_CD8) showed lower expression levels of cytotoxicity-related genes. Three monocyte clusters (i.e., MRD+_M) and three B-cell clusters (i.e., MRD+_B) were enriched in the MRD-positive group. Conversion from an MRD-positive state to an MRD-negative state was accompanied by an increase in MRD-_CD8 clusters and vice versa. MRD-enriched cell clusters employed the macrophage migration inhibitory factor pathway to regulate MRD-_CD8 clusters. These findings revealed the characteristics of the immune cell landscape in MRD positivity, which will allow for a better understanding of the immune mechanisms for MRD conversion.
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Affiliation(s)
- Xiaodong Mo
- Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Beijing, 100044, China
| | - Weilong Zhang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Guomei Fu
- Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Beijing, 100044, China
| | - Yingjun Chang
- Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Beijing, 100044, China
| | - Xiaohui Zhang
- Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Beijing, 100044, China
| | - Lanping Xu
- Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Beijing, 100044, China
| | - Yu Wang
- Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Beijing, 100044, China
| | - Chenhua Yan
- Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Beijing, 100044, China
| | - Mengzhu Shen
- Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Beijing, 100044, China
| | - Qiuxia Wei
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Changjian Yan
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Xiaojun Huang
- Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Beijing, 100044, China.
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100044, China.
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Chinese Academy of Medical Sciences, Beijing, 100044, China.
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Pinto CM, Bertolucci CM, Severino AR, Dos Santos Tosi JF, Ikoma-Colturato MRV. Immunophenotypic markers for the evaluation of minimal/measurable residual disease in acute megakaryoblastic leukemia. Hematol Transfus Cell Ther 2024; 46:542-548. [PMID: 38008596 PMCID: PMC11451363 DOI: 10.1016/j.htct.2023.09.2364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/21/2023] [Accepted: 09/04/2023] [Indexed: 11/28/2023] Open
Abstract
Acute megakaryoblastic leukemia is characterized by heterogeneous biology and clinical behavior. Immunophenotypic characteristics include the expression of megakaryocytic differentiation markers (e.g. CD41, CD42a, CD42b, CD61) associated with immaturity markers (CD34, CD117, HLA-DR) and myeloid markers (e.g. CD13, CD33) and even with lymphoid cross-lineage markers (e.g. CD7, CD56). Although the diagnostic immunophenotype has already been well described, given the rarity of the disease, its immunophenotypic heterogeneity and post-therapeutic instability, there is no consensus on the combination of monoclonal markers to detect minimal/measurable residual disease (MRD). Currently, MRD is an important tool for assessing treatment efficacy and prognostic risk. In this study, we evaluated the immunophenotypic profile of MRD in a retrospective cohort of patients diagnosed with acute megakaryoblastic leukemia, to identify which markers, positive or negative, were more stable after treatment and which could be useful for MRD evaluation. The expression profile of each marker was evaluated in sequential MRD samples. In conclusion, the markers evaluated in this study can be combined in an MRD immunophenotypic panel to investigate for megakaryoblastic leukemia. Although this study is retrospective and some data are missing, the information obtained may contribute to prospective studies to validate more specific strategies in the detection of MRD in acute megakaryoblastic leukemia.
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38
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Reuvekamp T, Bachas C, Cloos J. Immunophenotypic features of early haematopoietic and leukaemia stem cells. Int J Lab Hematol 2024; 46:795-808. [PMID: 39045906 DOI: 10.1111/ijlh.14348] [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: 03/22/2024] [Accepted: 07/10/2024] [Indexed: 07/25/2024]
Abstract
Many tumours are organised in a hierarchical structure with at its apex a cell that can maintain, establish, and repopulate the tumour-the cancer stem cell. The haematopoietic stem cell (HSC) is the founder cell for all functional blood cells. Like HSCs, the leukaemia stem cells (LSC) are hypothesised to be the leukaemia-initiating cells, which have features of stemness such as self-renewal, quiescence, and resistance to cytotoxic drugs. Immunophenotypically, CD34+CD38- defines HSCs by adding lineage negativity and CD90+CD45RA-. At which stage of maturation the further differentiation is blocked, determines the type of leukaemia, and determines the immunophenotype of the LSC specific to the leukaemia type. No apparent LSC phenotype has been described in lymphoid leukaemia, and it is debated if a specific acute lymphocytic leukaemia-initiating cell is present, as all cells are capable of engraftment in a secondary mouse model. In chronic lymphocytic leukaemia, a B-cell clone is responsible for uncontrolled proliferation, not a specific LSC. In chronic and acute myeloid leukaemia, LSC is described as CD34+CD38- with the expression of a marker that is aberrantly expressed (LSC marker), such as CD45RA, CD123 or in the case of chronic myeloid leukaemia CD26. In acute myeloid leukaemia, the LSC load had prognostic relevance and might be a biomarker that can be used for monitoring and as an addition to measurable residual disease. However, challenges such as the CD34-negative immunophenotype need to be explored.
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Affiliation(s)
- Tom Reuvekamp
- Department of Hematology, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Department of Hematology, Amsterdam UMC Location Universiteit van Amsterdam, Amsterdam, The Netherlands
| | - Costa Bachas
- Department of Hematology, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Jacqueline Cloos
- Department of Hematology, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
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Kantarjian H, Borthakur G, Daver N, DiNardo CD, Issa G, Jabbour E, Kadia T, Sasaki K, Short NJ, Yilmaz M, Ravandi F. Current status and research directions in acute myeloid leukemia. Blood Cancer J 2024; 14:163. [PMID: 39300079 PMCID: PMC11413327 DOI: 10.1038/s41408-024-01143-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 08/31/2024] [Accepted: 09/05/2024] [Indexed: 09/22/2024] Open
Abstract
The understanding of the molecular pathobiology of acute myeloid leukemia (AML) has spurred the identification of therapeutic targets and the development of corresponding novel targeted therapies. Since 2017, twelve agents have been approved for the treatment of AML subsets: the BCL2 inhibitor venetoclax; the CD33 antibody drug conjugate gemtuzumab ozogamicin; three FLT3 inhibitors (midostaurin, gilteritinib, quizartinib); three IDH inhibitors (ivosidenib and olutasidenib targeting IDH1 mutations; enasidenib targeting IDH2 mutations); two oral hypomethylating agents (oral poorly absorbable azacitidine; fully absorbable decitabine-cedazuridine [latter approved as an alternative to parenteral hypomethylating agents in myelodysplastic syndrome and chronic myelomonocytic leukemia but commonly used in AML]); and CPX-351 (encapsulated liposomal 5:1 molar ratio of cytarabine and daunorubicin), and glasdegib (hedgehog inhibitor). Other targeted therapies (menin inhibitors, CD123 antibody-drug conjugates) are showing promising results. To achieve optimal results in such a rare and heterogeneous entity as AML requires expertise, familiarity with this rare cancer, and the access to, and delivery of disparate therapies under rigorous supportive care conditions. In this review, we update the standard-of-care and investigational therapies and outline promising current and future research directions.
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Affiliation(s)
- Hagop Kantarjian
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA.
| | - Gautam Borthakur
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Naval Daver
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Courtney D DiNardo
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Ghayas Issa
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Elias Jabbour
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Tapan Kadia
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Koji Sasaki
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Nicholas J Short
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Musa Yilmaz
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Farhad Ravandi
- From the Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
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40
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Hsieh RW, Symonds LK, Siu J, Cohen SA. Identification of circulating tumor DNA as a biomarker for diagnosis and response to therapies in cancer patients. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2024; 391:43-93. [PMID: 39939078 DOI: 10.1016/bs.ircmb.2024.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/14/2025]
Abstract
The sampling of circulating biomarkers provides an opportunity for non-invasive evaluation and monitoring of cancer activity. In modern day practice, this has typically been in the form of circulating tumor DNA (ctDNA) detected in plasma. The field of ctDNA has been a burgeoning technology, with prominent applications for blood-based cancer screening and in disease status assessment, especially after curative-intent surgery to evaluate for minimal residual disease (MRD). Clinical applications for the latter show an incredibly high sensitivity in certain cancer types with a need for additional studies to determine how much clinical decision-making should be adapted based on ctDNA results and which cancer types, stages, and treatments are best informed by ctDNA results. This chapter provides an overview of ctDNA detection as tool for cancer screening, detecting MRD, and/or molecularly characterizing a cancer, highlighting the rapidly amassing research as a prognostic biomarker and emerging data on ctDNA as a predictive biomarker.
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Affiliation(s)
- Ronan W Hsieh
- Division of Hematology/Oncology, University of Washington, Seattle, WA, United States; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Lynn K Symonds
- Division of Hematology/Oncology, University of Washington, Seattle, WA, United States; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Jason Siu
- Department of Laboratory Medicine, University of Washington, Seattle, WA, United States
| | - Stacey A Cohen
- Division of Hematology/Oncology, University of Washington, Seattle, WA, United States; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
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41
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Zhu M, Chen X, Chi M, Wu Y, Zhang M, Gao S. Spontaneous-stimulated Raman co-localization dual-modal analysis approach for efficient identification of tumor cells. Talanta 2024; 277:126297. [PMID: 38823327 DOI: 10.1016/j.talanta.2024.126297] [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: 03/21/2024] [Revised: 05/01/2024] [Accepted: 05/20/2024] [Indexed: 06/03/2024]
Abstract
The study of highly heterogeneous tumor cells, especially acute myeloid leukemia (AML) cells, usually relies on invasive analytical methods such as morphology, immunology, cytogenetics, and molecular biology classification, which are complex and time-consuming to perform. Mortality is high if patients are not diagnosed in a timely manner, so rapid label-free analysis of gene expression and metabolites within single-cell substructures is extremely important for clinical diagnosis and treatment. As a label-free and non-destructive vibrational detection technique, spontaneous Raman scattering provides molecular information across the full spectrum of the cell but lacks rapid imaging localization capabilities. In contrast, stimulated Raman scattering (SRS) provides a high-speed, high-resolution imaging view that can offer real-time subcellular localization assistance for spontaneous Raman spectroscopic detection. In this paper, we combined multi-color SRS microscopy with spontaneous Raman to develop a co-localized Raman imaging and spectral detection system (CRIS) for high-speed chemical imaging and quantitative spectral analysis of subcellular structures. Combined with multivariate statistical analysis methods, CRIS efficiently differentiated AML from normal leukocytes with an accuracy of 98.1 % and revealed the differences in the composition of nuclei and cytoplasm of AML relative to normal leukocytes. Compared to conventional Raman spectroscopy blind sampling without imaging localization, CRIS increased the efficiency of single-cell detection by at least three times. In addition, using the same approach for further identification of AML subtypes M2 and M3, we demonstrated that intracytoplasmic differential expression of proteins is a marker for their rapid and accurate classifying. CRIS analysis methods are expected to pave the way for clinical translation of rapid tumor cell identification.
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Affiliation(s)
- Mingyao Zhu
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China
| | - Xing Chen
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China
| | - Mingbo Chi
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China.
| | - Yihui Wu
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China.
| | - Ming Zhang
- Department of Hematology, The First Bethune Hospital, Jilin University, Changchun, Jilin, 130033, China
| | - Sujun Gao
- Department of Hematology, The First Bethune Hospital, Jilin University, Changchun, Jilin, 130033, China
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Orvain C, Bertoli S, Peterlin P, Desbrosses Y, Dumas PY, Iat A, Hospital MA, Carre M, Tavernier E, Riou J, Bouvier A, Bidet A, Tondeur S, Renosi F, Mozziconacci MJ, Flandrin-Gresta P, Dadone-Montaudié B, Delabesse E, Pigneux A, Hunault-Berger M, Recher C. Molecular relapse after first-line intensive therapy in patients with CBF or NPM1-mutated acute myeloid leukemia - a FILO study. Leukemia 2024; 38:1949-1957. [PMID: 39020060 PMCID: PMC11347360 DOI: 10.1038/s41375-024-02335-2] [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: 04/03/2024] [Revised: 06/24/2024] [Accepted: 07/01/2024] [Indexed: 07/19/2024]
Abstract
Patients with Core-Binding Factor (CBF) and NPM1-mutated acute myeloid leukemia (AML) can be monitored by quantitative PCR after having achieved first complete remission (CR) to detect morphologic relapse and drive preemptive therapy. How to best manage these patients is unknown. We retrospectively analyzed 303 patients with CBF and NPM1-mutated AML, aged 18-60 years, without allogeneic hematopoietic cell transplantation (HCT) in first CR, with molecular monitoring after first-line intensive therapy. Among these patients, 153 (51%) never relapsed, 95 (31%) had molecular relapse (53 received preemptive therapy and 42 progressed to morphologic relapse at salvage therapy), and 55 (18%) had upfront morphologic relapse. Patients who received preemptive therapy had higher OS than those who received salvage therapy after having progressed from molecular to morphologic relapse and those with upfront morphologic relapse (three-year OS: 78% vs. 51% vs. 51%, respectively, P = 0.01). Preemptive therapy included upfront allogeneic HCT (n = 19), intensive chemotherapy (n = 21), and non-intensive therapy (n = 13; three-year OS: 92% vs. 79% vs. 58%, respectively, P = 0.09). Although not definitive due to the non-randomized allocation of patients to different treatment strategies at relapse, our study suggests that molecular monitoring should be considered during follow-up to start preemptive therapy before overt morphologic relapse.
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MESH Headings
- Humans
- Nucleophosmin
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/therapy
- Leukemia, Myeloid, Acute/mortality
- Leukemia, Myeloid, Acute/pathology
- Adult
- Middle Aged
- Female
- Male
- Nuclear Proteins/genetics
- Adolescent
- Young Adult
- Mutation
- Retrospective Studies
- Recurrence
- Hematopoietic Stem Cell Transplantation/methods
- Core Binding Factors/genetics
- Prognosis
- Salvage Therapy
- Remission Induction
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Neoplasm Recurrence, Local/genetics
- Neoplasm Recurrence, Local/pathology
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Affiliation(s)
- Corentin Orvain
- Maladies du Sang, CHU d'Angers, Angers, France
- Fédération Hospitalo-Universitaire Grand-Ouest Acute Leukemia, FHU-GOAL, Nantes, France
- Université d'Angers, Inserm UMR 1307, CNRS UMR 6075, Nantes Université, CRCI2NA, F-49000, Angers, France
| | - Sarah Bertoli
- Hématologie Clinique, CHU de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
| | | | | | | | | | | | - Martin Carre
- Hématologie Clinique, CHU de Grenoble, Grenoble, France
| | - Emmanuelle Tavernier
- Hématologie Clinique, Institut de Cancérologie Lucien Neuwirth, Saint-Priest-en-Jarez, France
| | - Jérémie Riou
- Univ Angers, CHU Angers, Inserm, CNRS, MINT, SFR ICAT, Angers, France
| | - Anne Bouvier
- Laboratoire d'Hématologie, CHU d'Angers, Angers, France
| | - Audrey Bidet
- Laboratoire d'Hématologie, CHU de Bordeaux, Bordeaux, France
| | - Sylvie Tondeur
- Grenoble Alpes University, University Hospital, Hematology Molecular Biology department, Grenoble, France
| | - Florian Renosi
- Laboratoire d'Hématologie et d'Immunologie Cellulaire, CHU de Besançon, Besançon, France
| | | | | | | | - Eric Delabesse
- Laboratoire d'Hématologie, CHU de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France
| | | | - Mathilde Hunault-Berger
- Maladies du Sang, CHU d'Angers, Angers, France
- Fédération Hospitalo-Universitaire Grand-Ouest Acute Leukemia, FHU-GOAL, Nantes, France
- Université d'Angers, Inserm UMR 1307, CNRS UMR 6075, Nantes Université, CRCI2NA, F-49000, Angers, France
| | - Christian Recher
- Hématologie Clinique, CHU de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
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Rodríguez-Arbolí E, Othus M, Orvain C, Ali N, Milano F, Davis C, Basom R, Baccon D, Sandmaier BM, Appelbaum FR, Walter RB. Second Allogeneic Hematopoietic Cell Transplantation for Relapsed Adult Acute Myeloid Leukemia: Outcomes and Prognostic Factors. Transplant Cell Ther 2024; 30:905.e1-905.e14. [PMID: 38914227 PMCID: PMC11344659 DOI: 10.1016/j.jtct.2024.06.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 06/16/2024] [Accepted: 06/17/2024] [Indexed: 06/26/2024]
Abstract
Second allogeneic hematopoietic cell transplantation (HCT2) is potentially curative for adults with acute myeloid leukemia (AML) or myelodysplastic neoplasm (MDS)/AML experiencing relapse after a first allograft (HCT1), but prognostic factors for outcomes are poorly characterized. To provide a detailed analysis of HCT2 outcomes and associated prognostic factors in a large single-center cohort, with a focus on identifying predictors of relapse and nonrelapse mortality (NRM), we studied adults ≥18 years who underwent HCT2 at a single institution between April 2006 and June 2022 for relapsed AML (n = 73) or MDS/AML (n = 8). With a median follow-up among survivors of 74.0 (range: 10.4 to 187.3) months, there were 30 relapses and 57 deaths, of which 29 were NRM events, contributing to the estimates for relapse, overall survival (OS), relapse-free survival (RFS), and NRM. Three-year estimates for relapse, RFS, and OS were 37% (95% confidence interval: 27% to 48%), 32% (23% to 44%), and 35% (26% to 47%). The rate of NRM at 100 days and 18 months was 20% (12% to 29%) and 28% (19% to 39%). Outcomes differed markedly across patient subsets and were substantially worse for patients who underwent HCT2 with active disease (ie, morphologic evidence of bone marrow and/or extramedullary disease), for patients who relapsed ≤6 months after HCT1, and for patients with higher HCT-specific Comorbidity Index (HCT-CI) or treatment-related mortality (TRM) scores. After multivariable adjustment, active disease was associated with a higher risk of relapse (hazard ratio [HR] = 3.19, P = .006) and shorter RFS (HR = 2.41, P = .008) as well as OS (HR = 2.17, P = .027) compared to transplant in morphologic remission without multiparameter flow cytometric evidence of measurable residual disease. Similarly, a relapse-free interval ≤6 months after the first allograft was associated with higher risk of relapse (HR = 5.86, P < .001) and shorter RFS (HR = 2.86; P = .001) and OS (HR = 2.45, P = .003). Additionally, a high HCT-CI score was associated with increased NRM (HR = 4.30, P = .035), and shorter RFS (HR = 3.87, P = .003) and OS (HR = 3.74, P = .006). Likewise, higher TRM scores were associated with increased risk of relapse (HR = 2.27; P = .024) and NRM (HR = 2.01, P = .001), and inferior RFS (HR = 1.90 P = .001) and OS (HR = 1.88, P = .001). A significant subset of patients with AML or MDS/AML relapse after HCT1 are alive and leukemia-free 3 years after undergoing HCT2. Our study identifies active leukemia at the time of HCT2 and early relapse after HCT1 as major adverse prognostic factors, highlighting patient subsets in particular need of novel therapeutic approaches, and supports the use of the HCT-CI and TRM scores for outcome prognostication.
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Affiliation(s)
- Eduardo Rodríguez-Arbolí
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, Washington; Department of Hematology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS/CSIC), University of Seville, Seville, Spain
| | - Megan Othus
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Corentin Orvain
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, Washington; Maladies du Sang, CHU d'Angers, Angers, France; Fédération Hospitalo-Universitaire Grand-Ouest Acute Leukemia, FHU-GOAL, Angers, France; Université d'Angers, Inserm UMR 1307, CNRS UMR 6075, Nantes Université, CRCI2NA, Angers, France
| | - Naveed Ali
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Filippo Milano
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, Washington; Department of Medicine, Division of Hematology and Oncology, University of Washington, Seattle, Washington
| | - Chris Davis
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Ryan Basom
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Domitilla Baccon
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Brenda M Sandmaier
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, Washington; Department of Medicine, Division of Hematology and Oncology, University of Washington, Seattle, Washington
| | - Frederick R Appelbaum
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington; Department of Medicine, Division of Hematology and Oncology, University of Washington, Seattle, Washington
| | - Roland B Walter
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, Washington; Department of Medicine, Division of Hematology and Oncology, University of Washington, Seattle, Washington; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington.
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Holtzman NG, Curtis LM, Salit RB, Shaffer BC, Pirsl F, Ostojic A, Steinberg SM, Schulz E, Wilder JS, Hughes TE, Rose J, Memon S, Korngold R, Gea-Banacloche JC, Fowler DH, Hakim FT, Gress RE, Bishop MR, Pavletic SZ. High-dose alemtuzumab and cyclosporine vs tacrolimus, methotrexate, and sirolimus for chronic graft-versus-host disease prevention. Blood Adv 2024; 8:4294-4310. [PMID: 38669315 PMCID: PMC11372812 DOI: 10.1182/bloodadvances.2023010973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 02/05/2024] [Accepted: 02/26/2024] [Indexed: 04/28/2024] Open
Abstract
ABSTRACT Chronic graft-versus-host disease (cGVHD) remains a significant problem for patients after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Although in vivo lymphodepletion for cGVHD prophylaxis has been explored in the myeloablative setting, its effects after reduced-intensity conditioning (RIC) are not well described. Patients (N = 83) with hematologic malignancies underwent targeted lymphodepletion chemotherapy followed by a RIC allo-HSCT using peripheral blood stem cells from unrelated donors. Patients were randomized to 2 GVHD prophylaxis arms: alemtuzumab and cyclosporine (AC; n = 44) or tacrolimus, methotrexate, and sirolimus (TMS; n = 39), with the primary end point of cumulative incidence of severe cGVHD. The incidence of severe cGVHD was lower with AC vs TMS prophylaxis at 1- and 5-years (0% vs 10.3% and 4.5% vs 28.5%; overall, P = .0002), as well as any grade (P = .003) and moderate-severe (P < .0001) cGVHD. AC was associated with higher rates of grade 3 to 4 infections (P = .02) and relapse (52% vs 21%; P = .003) with no difference in 5-year GVHD-free-, relapse-free-, or overall survival. AC severely depleted naïve T-cell reconstitution, resulting in reduced T-cell receptor repertoire diversity, smaller populations of CD4Treg and CD8Tscm, but a higher ratio of Treg to naïve T-cells at 6 months. In summary, an alemtuzumab-based regimen successfully reduced the rate and severity of cGVHD after RIC allo-HSCT and resulted in a distinct immunomodulatory profile, which may have reduced cGVHD incidence and severity. However, increased infections and relapse resulted in a lack of survival benefit after long-term follow-up. This trial was registered at www.ClinicalTrials.gov as #NCT00520130.
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Affiliation(s)
- Noa G. Holtzman
- Immune Deficiency Cellular Therapy Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Lauren M. Curtis
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Ascension Maryland Saint Agnes Hospital, Baltimore, MD
| | - Rachel B. Salit
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Brian C. Shaffer
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Filip Pirsl
- Immune Deficiency Cellular Therapy Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Alen Ostojic
- Immune Deficiency Cellular Therapy Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Seth M. Steinberg
- Biostatistics and Data Management Section, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Eduard Schulz
- Immune Deficiency Cellular Therapy Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jennifer S. Wilder
- Frederick National Laboratory for Cancer Research, Clinical Monitoring Research Program, Leidos Biomedical Research, Inc, Frederick, MD
| | - Thomas E. Hughes
- Department of Pharmacy, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Jeremy Rose
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Sarfraz Memon
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Robert Korngold
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ
| | - Juan C. Gea-Banacloche
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Daniel H. Fowler
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Rapa Therapeutics, Rockville, MD
| | - Frances T. Hakim
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Ronald E. Gress
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Michael R. Bishop
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Department of Hematology/Oncology, David and Etta Jonas Center for Cellular Therapy, University of Chicago, Chicago, IL
| | - Steven Z. Pavletic
- Immune Deficiency Cellular Therapy Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
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Alati C, Pitea M, Mico MC, Marafioti V, Greve B, Pratico G, Loteta B, Cogliandro F, Porto G, Policastro G, Utano G, Sgarlata A, Imbalzano L, Delfino IM, Montechiarello E, Germano J, Filippelli G, Martino M. Optimizing maintenance therapy in acute myeloid leukemia: where do we stand in the year 2024? Expert Rev Hematol 2024; 17:515-525. [PMID: 39017205 DOI: 10.1080/17474086.2024.2382300] [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: 04/09/2024] [Accepted: 07/15/2024] [Indexed: 07/18/2024]
Abstract
INTRODUCTION Despite the prognosis of patients affected by acute myeloid leukemia (AML) improved in the last decade, most patients relapse. Maintenance therapy after a chemotherapy approach with or without allogeneic stem cell transplantation could be a way to control the undetectable residual burden of leukemic cells. Several studies are being carried out as maintenance therapy in AML. Some critical points need to be defined, how the physician can choose among the various drugs available. AREAS COVERED This review discusses the advances and controversies surrounding maintenance therapy for AML patients. EXPERT OPINION Patients withFLT3-positive AML should receive midostaurin or quizartinib in the first-linesetting. For a patient initially receiving midostaurin, consider switching to sorafenib in the post-transplant setting. Because of the improved safety profile and potency, many experts will lean toward using a second-generation FLT3 inhibitor such as quizartinib or gilteritinib. Finally, no data indicate whether maintenance therapy should be prolonged until progression or for a defined period.
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Affiliation(s)
- Caterina Alati
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Martina Pitea
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Maria Caterina Mico
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Violetta Marafioti
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Bruna Greve
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Giulia Pratico
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Barbara Loteta
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Francesca Cogliandro
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Gaetana Porto
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Giorgia Policastro
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Giovanna Utano
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Annalisa Sgarlata
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Lucrezia Imbalzano
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Ilaria Maria Delfino
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Elisa Montechiarello
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | - Jessyca Germano
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
| | | | - Massimo Martino
- Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Hematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Reggio Calabria, Italy
- Stem Cell Transplant Program CIC587, Reggio Calabria, Italy
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Vonk CM, Boertjes EL, Kavelaars FG, Rijken M, Konijnenburg JML, Cromwell RE, Löwenberg B, Grob T, Valk PJM. Prognostic relevance of molecular measurable residual disease detection in AML with mutated CEBPA. Hemasphere 2024; 8:e141. [PMID: 39148661 PMCID: PMC11326717 DOI: 10.1002/hem3.141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 07/11/2024] [Accepted: 07/17/2024] [Indexed: 08/17/2024] Open
Affiliation(s)
- Christian M Vonk
- Department of Hematology, Erasmus MC Cancer Institute University Medical Center Rotterdam Rotterdam the Netherlands
| | - Emma L Boertjes
- Department of Hematology, Erasmus MC Cancer Institute University Medical Center Rotterdam Rotterdam the Netherlands
| | - Francois G Kavelaars
- Department of Hematology, Erasmus MC Cancer Institute University Medical Center Rotterdam Rotterdam the Netherlands
| | - Melissa Rijken
- Department of Hematology, Erasmus MC Cancer Institute University Medical Center Rotterdam Rotterdam the Netherlands
| | - Jolinda M L Konijnenburg
- Department of Hematology, Erasmus MC Cancer Institute University Medical Center Rotterdam Rotterdam the Netherlands
| | - Roxanne E Cromwell
- Department of Hematology, Erasmus MC Cancer Institute University Medical Center Rotterdam Rotterdam the Netherlands
| | - Bob Löwenberg
- Department of Hematology, Erasmus MC Cancer Institute University Medical Center Rotterdam Rotterdam the Netherlands
| | - Tim Grob
- Department of Hematology, Erasmus MC Cancer Institute University Medical Center Rotterdam Rotterdam the Netherlands
| | - Peter J M Valk
- Department of Hematology, Erasmus MC Cancer Institute University Medical Center Rotterdam Rotterdam the Netherlands
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47
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Radich J. Transplant, MRD, and predicting relapse in AML. Blood 2024; 144:245-247. [PMID: 39023869 DOI: 10.1182/blood.2024024870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2024] Open
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Bommier C, Maurer MJ, Lambert J. What clinicians should know about surrogate end points in hematologic malignancies. Blood 2024; 144:11-20. [PMID: 38603637 DOI: 10.1182/blood.2023022269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 03/14/2024] [Accepted: 04/03/2024] [Indexed: 04/13/2024] Open
Abstract
ABSTRACT Use of surrogates as primary end points is commonplace in hematology/oncology clinical trials. As opposed to prognostic markers, surrogates are end points that can be measured early and yet can still capture the full effect of treatment, because it would be captured by the true outcome (eg, overall survival). We discuss the level of evidence of the most commonly used end points in hematology and share recommendations on how to apply and evaluate surrogate end points in research and clinical practice. Based on the statistical literature, this clinician-friendly review intends to build a bridge between clinicians and surrogacy specialists.
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Affiliation(s)
- Côme Bommier
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
- Epidemiology and Clinical Statistics for Tumor, Respiratory, and Resuscitation Assessments Team, INSERM, U1153, Assistance Publique-Hôpitaux de Paris Hôpital St Louis, Université Paris Cité, Paris, France
| | - Matthew John Maurer
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
- Division of Hematology, Mayo Clinic, Rochester, MN
| | - Jerome Lambert
- Epidemiology and Clinical Statistics for Tumor, Respiratory, and Resuscitation Assessments Team, INSERM, U1153, Assistance Publique-Hôpitaux de Paris Hôpital St Louis, Université Paris Cité, Paris, France
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49
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Rico LG, Salvia R, Ward MD, Petriz J. Bulk lysis procedures alter target cell population counts. Cytometry A 2024; 105:555-558. [PMID: 38722042 DOI: 10.1002/cyto.a.24848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/02/2024] [Accepted: 04/15/2024] [Indexed: 07/19/2024]
Abstract
To achieve high-sensitivity cell measurements (<1 in 105 cells) by flow cytometry (FCM), the minimum number of acquired cells must be considered and conventional immunophenotyping protocols fall short of these numbers. The bulk lysis (BL) assay is a standardized erythrocyte lysing approach that allows the analysis of the millions of cells required for high-sensitivity measurable residual disease (MRD) detection. However, this approach has been associated with significant cell loss, along with potential over or underestimates of rare cells when using this method. The aim of this study was to evaluate bulk lysis protocols and compare them with minimal sample perturbation (MSP) protocols, which are reported to better preserve the native cellular state and avoid significant cell loss due to washing steps. To achieve this purpose, we first generated an MRD model by spiking fresh peripheral blood with K562 cells, stably expressing EGFP, at known percentages of EGFP positive cells to leukocytes. Samples were then prepared with BL and MSP protocols and analyzed using FCM. For all percentages of K562 cells established and evaluated, a significant decrease of this population was detected in BL samples compared with MSP samples, even at low K562 cell percentages. Significant decreases for non-necrotic cells were also observed in BL samples relative to MSP samples. In conclusion, the evaluation of the potential effects of BL protocols in obtaining the final count is of great interest, especially for over- or under-estimation of target cells, as in the case of measurable residual disease. Since conventional flow cytometry or minimal sample perturbation assays fall short in obtaining the minimum numbers required to reach high sensitivity measurements, significant efforts may be needed to improve bulk lysis solution reagents.
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Affiliation(s)
- Laura G Rico
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona (Barcelona), Spain
| | - Roser Salvia
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona (Barcelona), Spain
| | | | - Jordi Petriz
- Functional Cytomics Lab, Germans Trias i Pujol Research Institute (IGTP), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona (Barcelona), Spain
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50
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Wang S, Mouliere F, Pegtel DM, Chamuleau MED. Turning the tide in aggressive lymphoma: liquid biopsy for risk-adapted treatment strategies. Trends Mol Med 2024; 30:660-672. [PMID: 38692937 DOI: 10.1016/j.molmed.2024.04.005] [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: 02/12/2024] [Revised: 03/30/2024] [Accepted: 04/04/2024] [Indexed: 05/03/2024]
Abstract
Diffuse large B cell lymphoma (DLBCL) exhibits significant biological and clinical heterogeneity that presents challenges for risk stratification and disease surveillance. Existing tools for risk stratification, including the international prognostic index (IPI), tissue molecular analyses, and imaging, have limited accuracy in predicting outcomes. The therapeutic landscape for aggressive lymphoma is rapidly evolving, and there is a pressing need to identify patients at risk of refractory or relapsed (R/R) disease in the context of personalized therapy. Liquid biopsy, a minimally invasive method for cancer signal detection, has been explored to address these challenges. We review advances in liquid biopsy strategies focusing on circulating nucleic acids in DLBCL patients and highlight their clinical potential. We also provide recommendations for biomarker-guided trials to support risk-adapted treatment modalities.
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Affiliation(s)
- Steven Wang
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands; Imaging and Biomarkers, Cancer Center Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands
| | - Florent Mouliere
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands; Imaging and Biomarkers, Cancer Center Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands; Cancer Research UK National Biomarker Centre, University of Manchester, Wilmslow Road, Manchester, UK
| | - D Michiel Pegtel
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands; Imaging and Biomarkers, Cancer Center Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands
| | - Martine E D Chamuleau
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands; Imaging and Biomarkers, Cancer Center Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands.
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