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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 DOI: 10.1038/s41408-024-01143-2] [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: 07/05/2024] [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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2
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Tiong IS, Hiwase DK, Abro E, Bajel A, Palfreyman E, Beligaswatte A, Reynolds J, Anstee N, Nguyen T, Loo S, Chua CC, Ashby M, Wiltshire KM, Fleming S, Fong CY, Teh TC, Blombery P, Dillon R, Ivey A, Wei AH. Targeting Molecular Measurable Residual Disease and Low-Blast Relapse in AML With Venetoclax and Low-Dose Cytarabine: A Prospective Phase II Study (VALDAC). J Clin Oncol 2024; 42:2161-2173. [PMID: 38427924 PMCID: PMC11191043 DOI: 10.1200/jco.23.01599] [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: 07/27/2023] [Revised: 11/21/2023] [Accepted: 12/18/2023] [Indexed: 03/03/2024] Open
Abstract
PURPOSE A prospective phase II study examined the safety and efficacy of venetoclax combined with low-dose cytarabine (LDAC) in AML at first measurable residual disease (MRD) or oligoblastic relapse. METHODS Patients with either MRD (≥1 log10 rise) or oligoblastic relapse (blasts 5%-15%) received venetoclax 600 mg once daily D1-28 plus LDAC once daily D1-10 in 28-day cycles. The primary objective was MRD response in the MRD relapse cohort or complete remission (CR/CRh/CRi) in the oligoblastic relapse cohort. RESULTS Forty-eight adults with either MRD (n = 26) or oligoblastic (n = 22) relapse were enrolled. Median age was 67 years (range, 18-80) and 94% had received previous intensive chemotherapy. Patients received a median of four cycles of therapy; 17% completed ≥12 cycles. Patients with oligoblastic relapse had more grade ≥3 anemia (32% v 4%; P = .02) and infections (36% v 8%; P = .03), whereas grade 4 neutropenia (32 v 23%) or thrombocytopenia (27 v 15%) were comparable with the MRD relapse cohort. Markers of molecular MRD relapse included mutant NPM1 (77%), CBFB::MYH11 (4%), RUNX1::RUNX1T1 (4%), or KMT2A::MLLT3 (4%). Three patients with a log10 rise in IDH1/2 (12%) were included. By cycle 2 in the MRD relapse cohort, a log10 reduction in MRD was observed in 69%; 46% achieved MRD negative remission. In the oligoblastic relapse cohort, 73% achieved CR/CRh/CRi. Overall, 21 (44%) underwent hematopoietic cell transplantation. Median overall survival (OS) was not reached in either cohort. Estimated 2-year OS rate was 67% (95% CI, 50 to 89) in the MRD and 53% (95% CI, 34 to 84) in the oligoblastic relapse cohorts. CONCLUSION For AML in first remission and either MRD or oligoblastic relapse, venetoclax plus LDAC is well tolerated and highly effective.
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MESH Headings
- Humans
- Aged
- Middle Aged
- Leukemia, Myeloid, Acute/drug therapy
- Leukemia, Myeloid, Acute/mortality
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/pathology
- Neoplasm, Residual
- Cytarabine/administration & dosage
- Sulfonamides/administration & dosage
- Sulfonamides/adverse effects
- Adult
- Female
- Male
- Bridged Bicyclo Compounds, Heterocyclic/administration & dosage
- Bridged Bicyclo Compounds, Heterocyclic/adverse effects
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Antineoplastic Combined Chemotherapy Protocols/adverse effects
- Aged, 80 and over
- Prospective Studies
- Nucleophosmin
- Young Adult
- Adolescent
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Affiliation(s)
- Ing Soo Tiong
- The Alfred Hospital and Monash University, Melbourne, Australia
- Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, Australia
| | - Devendra K. Hiwase
- Royal Adelaide Hospital, Adelaide, Australia
- University of Adelaide, Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Emad Abro
- Princess Alexandra Hospital, Queensland, Australia
| | - Ashish Bajel
- Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | | | - Ashanka Beligaswatte
- University of Adelaide, Adelaide, Australia
- Flinders Medical Centre, Bedford Park, Australia
| | - John Reynolds
- The Alfred Hospital and Monash University, Melbourne, Australia
| | - Natasha Anstee
- The University of Melbourne, Melbourne, Australia
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
| | - Tamia Nguyen
- Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Sun Loo
- Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
- The Northern Hospital, Melbourne, Australia
| | - Chong Chyn Chua
- The Alfred Hospital and Monash University, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
- The Northern Hospital, Melbourne, Australia
| | - Michael Ashby
- The Alfred Hospital and Monash University, Melbourne, Australia
| | | | - Shaun Fleming
- The Alfred Hospital and Monash University, Melbourne, Australia
| | - Chun Y. Fong
- Austin Health and Olivia Newton John Cancer Research Institute, Melbourne, Australia
| | - Tse-Chieh Teh
- The Alfred Hospital and Monash University, Melbourne, Australia
- Box Hill Hospital, Melbourne, Australia
| | - Piers Blombery
- Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Richard Dillon
- Department of Medical and Molecular Genetics, King's College, London, United Kingdom
- Guy's Hospital, London, United Kingdom
| | - Adam Ivey
- The Alfred Hospital and Monash University, Melbourne, Australia
| | - Andrew H. Wei
- Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
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3
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Hybel TE, Jensen SH, Rodrigues MA, Hybel TE, Pedersen MN, Qvick SH, Enemark MH, Bill M, Rosenberg CA, Ludvigsen M. Imaging Flow Cytometry and Convolutional Neural Network-Based Classification Enable Discrimination of Hematopoietic and Leukemic Stem Cells in Acute Myeloid Leukemia. Int J Mol Sci 2024; 25:6465. [PMID: 38928171 PMCID: PMC11203419 DOI: 10.3390/ijms25126465] [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: 05/17/2024] [Revised: 06/07/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
Acute myeloid leukemia (AML) is a heterogenous blood cancer with a dismal prognosis. It emanates from leukemic stem cells (LSCs) arising from the genetic transformation of hematopoietic stem cells (HSCs). LSCs hold prognostic value, but their molecular and immunophenotypic heterogeneity poses challenges: there is no single marker for identifying all LSCs across AML samples. We hypothesized that imaging flow cytometry (IFC) paired with artificial intelligence-driven image analysis could visually distinguish LSCs from HSCs based solely on morphology. Initially, a seven-color IFC panel was employed to immunophenotypically identify LSCs and HSCs in bone marrow samples from five AML patients and ten healthy donors, respectively. Next, we developed convolutional neural network (CNN) models for HSC-LSC discrimination using brightfield (BF), side scatter (SSC), and DNA images. Classification using only BF images achieved 86.96% accuracy, indicating significant morphological differences. Accuracy increased to 93.42% when combining BF with DNA images, highlighting differences in nuclear morphology, although DNA images alone were inadequate for accurate HSC-LSC discrimination. Model development using SSC images revealed minor granularity differences. Performance metrics varied substantially between AML patients, indicating considerable morphologic variations among LSCs. Overall, we demonstrate proof-of-concept results for accurate CNN-based HSC-LSC differentiation, instigating the development of a novel technique within AML monitoring.
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Affiliation(s)
- Trine Engelbrecht Hybel
- Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark; (T.E.H.); (M.H.E.)
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark
| | - Sofie Hesselberg Jensen
- Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark; (T.E.H.); (M.H.E.)
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark
| | | | - Thomas Engelbrecht Hybel
- Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark; (T.E.H.); (M.H.E.)
| | - Maya Nautrup Pedersen
- Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark; (T.E.H.); (M.H.E.)
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark
| | - Signe Håkansson Qvick
- Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark; (T.E.H.); (M.H.E.)
| | - Marie Hairing Enemark
- Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark; (T.E.H.); (M.H.E.)
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark
| | - Marie Bill
- Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark; (T.E.H.); (M.H.E.)
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark
| | - Carina Agerbo Rosenberg
- Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark; (T.E.H.); (M.H.E.)
| | - Maja Ludvigsen
- Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark; (T.E.H.); (M.H.E.)
- Department of Clinical Medicine, Aarhus University, 8200 Aarhus N, Denmark
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4
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Chen W, Huang J, Zhao Y, Huang L, Yuan Z, Gu M, Xu X, Shi J, Luo Y, Yu J, Lai X, Liu L, Fu H, Bao C, Huang X, Zheng Z, Huang H, Hu X, Zhao Y. Measurable residual disease monitoring by ddPCR in the early posttransplant period complements the traditional MFC method to predict relapse after HSCT in AML/MDS: a multicenter retrospective study. J Transl Med 2024; 22:410. [PMID: 38689269 PMCID: PMC11061929 DOI: 10.1186/s12967-024-05114-w] [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: 11/01/2023] [Accepted: 03/21/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Droplet digital PCR (ddPCR) is widely applied to monitor measurable residual disease (MRD). However, there are limited studies on the feasibility of ddPCR-MRD monitoring after allogeneic hematopoietic stem cell transplantation (allo-HSCT), especially targeting multiple molecular markers simultaneously. METHODS Our study collected samples from patients with acute myeloid leukemia (AML) or high-risk myelodysplastic syndrome (MDS) in complete remission after allo-HSCT between January 2018 and August 2021 to evaluate whether posttransplant ddPCR-MRD monitoring can identify patients at high risk of relapse. RESULTS Of 152 patients, 58 (38.2%) were MRD positive by ddPCR within 4 months posttransplant, with a median variant allele frequency of 0.198%. The detectable DTA mutations (DNMT3A, TET2, and ASXL1 mutations) after allo-HSCT were not associated with an increased risk of relapse. After excluding DTA mutations, patients with ddPCR-MRD positivity had a significantly higher cumulative incidence of relapse (CIR, 38.7% vs. 9.7%, P < 0.001) and lower rates of relapse-free survival (RFS, 55.5% vs. 83.7%, P < 0.001) and overall survival (OS, 60.5% vs. 90.5%, P < 0.001). In multivariate analysis, ddPCR-MRD positivity of non-DTA genes was an independent adverse predictor for CIR (hazard ratio [HR], 4.02; P < 0.001), RFS (HR, 2.92; P = 0.002) and OS (HR, 3.12; P = 0.007). Moreover, the combination of ddPCR with multiparameter flow cytometry (MFC) can further accurately identify patients at high risk of relapse (F+/M+, HR, 22.44; P < 0.001, F+/M-, HR, 12.46; P < 0.001 and F-/M+, HR, 4.51; P = 0.003). CONCLUSION ddPCR-MRD is a feasible approach to predict relapse after allo-HSCT in AML/MDS patients with non-DTA genes and is more accurate when combined with MFC. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT06000306. Registered 17 August 2023 -Retrospectively registered ( https://clinicaltrials.gov/study/NCT06000306?term=NCT06000306&rank=1 ).
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Affiliation(s)
- Weihao Chen
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Jingtao Huang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijiner Road, Shanghai, 200025, China
- Collaborative Innovation Center of Hematology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yeqian Zhao
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China
| | - Luo Huang
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China
| | - Zhiyang Yuan
- Shanghai Dishuo Beken Biotechnology Co., Ltd, Shanghai, China
| | - Miner Gu
- Division of Hematology-Oncology, Children's Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaojun Xu
- Division of Hematology-Oncology, Children's Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jimin Shi
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China
| | - Yi Luo
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China
| | - Jian Yu
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China
| | - Xiaoyu Lai
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China
| | - Lizhen Liu
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China
| | - Huarui Fu
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
- Institute of Hematology, Zhejiang University, Hangzhou, China
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China
| | - Chenhui Bao
- Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, China
| | - Xin Huang
- Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, China
| | | | - He Huang
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China.
- Institute of Hematology, Zhejiang University, Hangzhou, China.
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China.
| | - Xiaoxia Hu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijiner Road, Shanghai, 200025, China.
- Collaborative Innovation Center of Hematology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Yanmin Zhao
- Bone Marrow Transplantation Center of The First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China.
- Institute of Hematology, Zhejiang University, Hangzhou, China.
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity Therapy, Hangzhou, China.
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Zhang L, Deeb G, Deeb KK, Vale C, Peker Barclift D, Papadantonakis N. Measurable (Minimal) Residual Disease in Myelodysplastic Neoplasms (MDS): Current State and Perspectives. Cancers (Basel) 2024; 16:1503. [PMID: 38672585 PMCID: PMC11048433 DOI: 10.3390/cancers16081503] [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: 02/17/2024] [Revised: 04/08/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Myelodysplastic Neoplasms (MDS) have been traditionally studied through the assessment of blood counts, cytogenetics, and morphology. In recent years, the introduction of molecular assays has improved our ability to diagnose MDS. The role of Measurable (minimal) Residual Disease (MRD) in MDS is evolving, and molecular and flow cytometry techniques have been used in several studies. In this review, we will highlight the evolving concept of MRD in MDS, outline the various techniques utilized, and provide an overview of the studies reporting MRD and the correlation with outcomes.
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Affiliation(s)
- Linsheng Zhang
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - George Deeb
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Kristin K. Deeb
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Colin Vale
- Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, GA 30322, USA
| | - Deniz Peker Barclift
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Nikolaos Papadantonakis
- Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, GA 30322, USA
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6
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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:S2152-2650(24)00133-2. [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] [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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7
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Maurer-Granofszky M, Kohrer S, Fischer S, Schumich A, Nebral K, Larghero P, Meyer C, Mecklenbrauker A, Muhlegger N, Marschalek R, Haas OA, Panzer-Grumayer R, Dworzak MN. Genomic breakpoint-specific monitoring of measurable residual disease in pediatric non-standard-risk acute myeloid leukemia. Haematologica 2024; 109:740-750. [PMID: 37345487 PMCID: PMC10910191 DOI: 10.3324/haematol.2022.282424] [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: 11/16/2022] [Accepted: 06/15/2023] [Indexed: 06/23/2023] Open
Abstract
Pediatric acute myeloid leukemia (AML) is a highly heterogeneous disease making standardized measurable residual disease (MRD) assessment challenging. Currently, patient-specific DNA-based assays are only rarely applied for MRD assessment in pediatric AML. We tested whether quantification of genomic breakpoint-specific sequences via quantitative polymerase chain reaction (gDNA-PCR) provides a reliable means of MRD quantification in children with non-standardrisk AML and compared its results to those obtained with state-of-the-art ten-color flow cytometry (FCM). Breakpointspecific gDNA-PCR assays were established according to Euro-MRD consortium guidelines. FCM-MRD assessment was performed according to the European Leukemia Network guidelines with adaptations for pediatric AML. Of 77 consecutively recruited non-standard-risk pediatric AML cases, 49 (64%) carried a chromosomal translocation potentially suitable for MRD quantification. Genomic breakpoint analysis returned a specific DNA sequence in 100% (41/41) of the cases submitted for investigation. MRD levels were evaluated using gDNA-PCR in 243 follow-up samples from 36 patients, achieving a quantitative range of at least 10-4 in 231/243 (95%) of samples. Comparing gDNA-PCR with FCM-MRD data for 183 bone marrow follow-up samples at various therapy timepoints showed a high concordance of 90.2%, considering a cut-off of ≥0.1%. Both methodologies outperformed morphological assessment. We conclude that MRD monitoring by gDNA-PCR is feasible in pediatric AML with traceable genetic rearrangements and correlates well with FCM-MRD in the currently applied clinically relevant range, while being more sensitive below that. The methodology should be evaluated in larger cohorts to pave the way for clinical application.
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Affiliation(s)
| | - Stefan Kohrer
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria; Labdia Labordiagnostik, Vienna
| | - Susanna Fischer
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria; Labdia Labordiagnostik, Vienna
| | - Angela Schumich
- St. Anna Children's Cancer Research Institute (CCRI), Vienna
| | - Karin Nebral
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria; Labdia Labordiagnostik, Vienna
| | - Patrizia Larghero
- Institute of Pharmaceutical Biology/Diagnostic Center of Acute Leukemia (DCAL), Goethe-University, Frankfurt/Main
| | - Claus Meyer
- Institute of Pharmaceutical Biology/Diagnostic Center of Acute Leukemia (DCAL), Goethe-University, Frankfurt/Main
| | - Astrid Mecklenbrauker
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria; Labdia Labordiagnostik, Vienna
| | - Nora Muhlegger
- St. Anna Children's Cancer Research Institute (CCRI), Vienna
| | - Rolf Marschalek
- Institute of Pharmaceutical Biology/Diagnostic Center of Acute Leukemia (DCAL), Goethe-University, Frankfurt/Main
| | - Oskar A Haas
- St. Anna Children's Cancer Research Institute (CCRI), Vienna
| | | | - Michael N Dworzak
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria; Labdia Labordiagnostik, Vienna, Austria; St. Anna Children's Hospital, Department of Pediatrics, Medical University of Vienna, Vienna.
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8
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Chea M, Rigolot L, Canali A, Vergez F. Minimal Residual Disease in Acute Myeloid Leukemia: Old and New Concepts. Int J Mol Sci 2024; 25:2150. [PMID: 38396825 PMCID: PMC10889505 DOI: 10.3390/ijms25042150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/01/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
Minimal residual disease (MRD) is of major importance in onco-hematology, particularly in acute myeloid leukemia (AML). MRD measures the amount of leukemia cells remaining in a patient after treatment, and is an essential tool for disease monitoring, relapse prognosis, and guiding treatment decisions. Patients with a negative MRD tend to have superior disease-free and overall survival rates. Considerable effort has been made to standardize MRD practices. A variety of techniques, including flow cytometry and molecular methods, are used to assess MRD, each with distinct strengths and weaknesses. MRD is recognized not only as a predictive biomarker, but also as a prognostic tool and marker of treatment efficacy. Expected advances in MRD assessment encompass molecular techniques such as NGS and digital PCR, as well as optimization strategies such as unsupervised flow cytometry analysis and leukemic stem cell monitoring. At present, there is no perfect method for measuring MRD, and significant advances are expected in the future to fully integrate MRD assessment into the management of AML patients.
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Affiliation(s)
- Mathias Chea
- Laboratoire d’Hématologie Biologique, Institut Universitaire du Cancer de Toulouse Oncopole, Centre Hospitalier Universitaire de Toulouse, 31059 Toulouse, France; (M.C.); (L.R.); (A.C.)
| | - Lucie Rigolot
- Laboratoire d’Hématologie Biologique, Institut Universitaire du Cancer de Toulouse Oncopole, Centre Hospitalier Universitaire de Toulouse, 31059 Toulouse, France; (M.C.); (L.R.); (A.C.)
- School of Medicine, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
| | - Alban Canali
- Laboratoire d’Hématologie Biologique, Institut Universitaire du Cancer de Toulouse Oncopole, Centre Hospitalier Universitaire de Toulouse, 31059 Toulouse, France; (M.C.); (L.R.); (A.C.)
- School of Medicine, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
| | - Francois Vergez
- Laboratoire d’Hématologie Biologique, Institut Universitaire du Cancer de Toulouse Oncopole, Centre Hospitalier Universitaire de Toulouse, 31059 Toulouse, France; (M.C.); (L.R.); (A.C.)
- School of Medicine, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
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9
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Row C, Lechevalier N, Vial JP, Mimoun A, Bastie JN, Lafon I, Pigneux A, Leguay T, Callanan M, Maynadie M, Béné MC, Dumas PY, Guy J. Prognostic value of postinduction medullary myeloid recovery by flow cytometry in acute myeloid leukemia. EJHAEM 2024; 5:84-92. [PMID: 38406512 PMCID: PMC10887270 DOI: 10.1002/jha2.822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/29/2023] [Accepted: 10/16/2023] [Indexed: 02/27/2024]
Abstract
Risk stratification and treatment response evaluation are key features in acute myeloid leukemia (AML) management. Immunophenotypic and molecular approaches all rely on the detection of persisting leukemic cells by measurable residual disease techniques. A new approach is proposed here by assessing medullary myeloid maturation by flow cytometry through a myeloid progenitor ratio (MPR). The normal MPR range was defined using reference normal bone marrows (n = 48). MPR was considered balanced if between 1 and 4 and unbalanced if < 1 or > 4. MPR was retrospectively assessed at baseline and post-induction for 206 newly diagnosed AML patients eligible for intensive treatment from two different French centers. All AML baseline MPR were unbalanced and thus significantly different from normal MPR (p < 0.0001). Patients with an unbalanced MPR after induction had worse 3-year overall survival (OS) (44.4% vs. 80.2%, HR, 2.96; 95% CI, 1.81-4.84, p < 0.0001) and 3-year relapse free survival (RFS) (38.7% vs. 64.4%, HR, 2.11; 95% CI, 1.39-3.18, p < 0.001). In multivariate analysis, postinduction unbalanced MPR was significantly associated with shorter OS and RFS regardless of the European LeukemiaNet 2010 risk stratification or NPM1/FLT3-ITD status. A balanced postinduction MPR conversely conferred favorable outcomes and reflects medullary myeloid recovery.
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Affiliation(s)
- Céline Row
- Service d'Hématologie BiologiqueCHU de DijonDijonFrance
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| | | | | | - Aguirre Mimoun
- Service d'Hématologie BiologiqueCHU de BordeauxBordeauxFrance
| | - Jean Noel Bastie
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
- Service d'Hématologie CliniqueCHU de DijonDijonFrance
| | - Ingrid Lafon
- Service d'Hématologie BiologiqueCHU de BordeauxBordeauxFrance
| | - Arnaud Pigneux
- Service d'Hématologie Clinique et de Thérapie CellulaireCHU de BordeauxBordeauxFrance
| | - Thibaut Leguay
- Service d'Hématologie Clinique et de Thérapie CellulaireCHU de BordeauxBordeauxFrance
| | - Mary Callanan
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| | - Marc Maynadie
- Service d'Hématologie BiologiqueCHU de DijonDijonFrance
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| | - Marie C. Béné
- CRCI2NA INSERM UMR 1307 & CNRS UMR 6075 Université de NantesNantesFrance
| | | | - Julien Guy
- Service d'Hématologie BiologiqueCHU de DijonDijonFrance
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
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10
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Feng Y, Qi S, Liu X, Zhang L, Hu Y, Shen Q, Gong X, Zhang W, Wang J, Yan W, Wang T, Wang H, Song Z, Zhu X, Gale RP, Chen J. Have we been qualifying measurable residual disease correctly? Leukemia 2023; 37:2168-2172. [PMID: 37704711 PMCID: PMC10624632 DOI: 10.1038/s41375-023-02026-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/30/2023] [Accepted: 09/05/2023] [Indexed: 09/15/2023]
Affiliation(s)
- Yahui Feng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Saibing Qi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xueou Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Li Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yu Hu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Qiujin Shen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiaowen Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Wei Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Junxia Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Wen Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Tiantian Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Huijun Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Zhen Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiaofan Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Tianjin Institutes of Health Science, Tianjin, China.
| | - Robert Peter Gale
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College of Science, Technology and Medicine, London, UK
| | - Junren Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Tianjin Institutes of Health Science, Tianjin, China.
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11
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Kanaan SB, Urselli F, Radich JP, Nelson JL. Ultrasensitive chimerism enhances measurable residual disease testing after allogeneic hematopoietic cell transplantation. Blood Adv 2023; 7:6066-6079. [PMID: 37467017 PMCID: PMC10582300 DOI: 10.1182/bloodadvances.2023010332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/15/2023] [Accepted: 07/12/2023] [Indexed: 07/20/2023] Open
Abstract
Increasing mixed chimerism (reemerging recipient cells) after allogeneic hematopoietic cell transplant (allo-HCT) can indicate relapse, the leading factor determining mortality in blood malignancies. Most clinical chimerism tests have limited sensitivity and are primarily designed to monitor engraftment. We developed a panel of quantitative polymerase chain reaction assays using TaqMan chemistry capable of quantifying chimerism in the order of 1 in a million. At such analytic sensitivity, we hypothesized that it could inform on relapse risk. As a proof-of-concept, we applied our panel to a retrospective cohort of patients with acute leukemia who underwent allo-HCT with known outcomes. Recipient cells in bone marrow aspirates (BMAs) remained detectable in 97.8% of tested samples. Absolute recipient chimerism proportions and rates at which these proportions increased in BMAs in the first 540 days after allo-HCT were associated with relapse. Detectable measurable residual disease (MRD) via flow cytometry in BMAs after allo-HCT showed limited correlation with relapse. This correlation noticeably strengthened when combined with increased recipient chimerism in BMAs, demonstrating the ability of our ultrasensitive chimerism assay to augment MRD data. Our technology reveals an underappreciated usefulness of clinical chimerism. Used side by side with MRD assays, it promises to improve identification of patients with the highest risk of disease reoccurrence for a chance of early intervention.
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Affiliation(s)
- Sami B. Kanaan
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Research and Development, Chimerocyte Inc, Seattle, WA
| | - Francesca Urselli
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Jerald P. Radich
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA
| | - J. Lee Nelson
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Research and Development, Chimerocyte Inc, Seattle, WA
- Division of Rheumatology, Department of Medicine, University of Washington, Seattle, WA
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12
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Swaminathan M, Ravandi F. Can measurable residual disease assessment be reliably used to defer allogeneic stem cell transplant in patients with intermediate-risk acute myeloid leukemia? Haematologica 2023; 108:2561-2563. [PMID: 37345488 PMCID: PMC10543186 DOI: 10.3324/haematol.2023.283120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 06/16/2023] [Indexed: 06/23/2023] Open
Affiliation(s)
- Mahesh Swaminathan
- The University of Texas, MD Anderson Cancer Center, Department of Leukemia, Texas
| | - Farhad Ravandi
- The University of Texas, MD Anderson Cancer Center, Department of Leukemia, Texas.
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13
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Batten DJ, Crofts JJ, Chuzhanova N. Towards In Silico Identification of Genes Contributing to Similarity of Patients' Multi-Omics Profiles: A Case Study of Acute Myeloid Leukemia. Genes (Basel) 2023; 14:1795. [PMID: 37761935 PMCID: PMC10531350 DOI: 10.3390/genes14091795] [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: 08/06/2023] [Revised: 09/09/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023] Open
Abstract
We propose a computational framework for selecting biologically plausible genes identified by clustering of multi-omics data that reveal patients' similarity, thus giving researchers a more comprehensive view on any given disease. We employ spectral clustering of a similarity network created by fusion of three similarity networks, based on mRNA expression of immune genes, miRNA expression and DNA methylation data, using SNF_v2.1 software. For each cluster, we rank multi-omics features, ensuring the best separation between clusters, and select the top-ranked features that preserve clustering. To find genes targeted by DNA methylation and miRNAs found in the top-ranked features, we use chromosome-conformation capture data and miRNet2.0 software, respectively. To identify informative genes, these combined sets of target genes are analyzed in terms of their enrichment in somatic/germline mutations, GO biological processes/pathways terms and known sets of genes considered to be important in relation to a given disease, as recorded in the Molecular Signature Database from GSEA. The protein-protein interaction (PPI) networks were analyzed to identify genes that are hubs of PPI networks. We used data recorded in The Cancer Genome Atlas for patients with acute myeloid leukemia to demonstrate our approach, and discuss our findings in the context of results in the literature.
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Affiliation(s)
| | | | - Nadia Chuzhanova
- School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UK; (D.J.B.); (J.J.C.)
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14
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Ding Y, Liu Z, Wang H, Xiong S, Zhai Z. Prognostic value of combined WT1 and multiparameter flow cytometry assessment for measurable residual disease after induction in non-APL acute myeloid leukemia. Scand J Clin Lab Invest 2023; 83:340-347. [PMID: 37355341 DOI: 10.1080/00365513.2023.2227946] [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: 04/20/2023] [Revised: 06/14/2023] [Accepted: 06/18/2023] [Indexed: 06/26/2023]
Abstract
The objective of this study was to investigate the expression pattern of Wilms tumor 1 (WT1) gene at diagnosis, complete remission (CR) and relapse status in non-acute promyelocytic leukemia (non-APL) acute myeloid leukemia (AML) patients, and further explore the prognostic value of measurable residual disease (MRD) assessment by WT1 gene and multiparameter flow cytometry (MFC). Our results showed that the average expression level of WT1 was 4026 ± 616.1 copies/104 ABL at diagnosis, 155.3 ± 36.03 copies/104 ABL at CR, and 1766 ± 238.8 copies/104 ABL at relapse, with statistically significant differences (p = .000). ROC analysis showed that WT1 expression levels were 118.1 copies/104 ABL and MFC-MRD was 0.155%, which had good predictive efficacy for relapse of patients during consolidation therapy. Both WT1-MRD and MFC-MRD had a significant impact on relapse-free survival (RFS) and overall survival (OS). Patients with WT1-MRD positive or MFC-MRD positive were associated with worse RFS (HR 3.840, 95% CI 1.582-9.320, p = .003), (HR 4.464, 95% CI 1.841-10.984, p = .001) and worse OS (HR 2.963, 95% CI 1.058-8.295, p = .039), (HR 3.590, 95% CI 1.254-10.280, p = .017). Besides, compared with patients who were negative for both WT1-MRD and MFC-MRD, patients who were positive both WT1-MRD and MFC-MRD were associated with worse RFS (HR 6.200, 95% CI 2.206-17.430, p = .001) and worse OS (HR 4.886, 95% CI 1.388-17.197, p = .013). This study demonstrates that combined assessment of MRD by WT1 and MFC improves relapse and prognosis prediction in non-APL AML patients, and may help guide interventions for disease relapse.
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Affiliation(s)
- Yangyang Ding
- Department of Hematology/Hematological Lab, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Zelin Liu
- Department of Hematology/Hematological Lab, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Huiping Wang
- Department of Hematology/Hematological Lab, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Shudao Xiong
- Department of Hematology/Hematological Lab, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Zhimin Zhai
- Department of Hematology/Hematological Lab, The Second Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
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15
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Li X, Tong X. Role of Measurable Residual Disease in Older Adult Acute Myeloid Leukemia. Clin Interv Aging 2023; 18:921-931. [PMID: 37313310 PMCID: PMC10258117 DOI: 10.2147/cia.s409308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 05/25/2023] [Indexed: 06/15/2023] Open
Abstract
There is overwhelming evidence indicating that the use of measurable residual disease (MRD) as a biomarker provides critical prognostic information and that MRD may have a role in directing postremission decisions. There are a variety of assays for MRD assessment, such as multiparameter flow cytometry and molecular assessment of MRD, which present different characteristics in patients older than 60 years of age. Due to multiple reasons related to age, the progress of older adult AML patients is rarely investigated, especially with respect to MRD. In this review, we will clarify the characteristics of different assays for assessing MRD, focusing on its role as a risk-stratification biomarker to predict prognostic information and its role in optimal postremission therapy among older adult AML patients. These characteristics also provide guidance regarding the potential to apply personalized medicine in older adult AML patients.
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Affiliation(s)
- Xueyao Li
- Department of Hematology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Xiuzhen Tong
- Department of Hematology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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16
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Srinivasan Rajsri K, Roy N, Chakraborty S. Acute Myeloid Leukemia Stem Cells in Minimal/Measurable Residual Disease Detection. Cancers (Basel) 2023; 15:2866. [PMID: 37345204 PMCID: PMC10216329 DOI: 10.3390/cancers15102866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/14/2023] [Accepted: 05/17/2023] [Indexed: 06/23/2023] Open
Abstract
Acute myeloid leukemia (AML) is a hematological malignancy characterized by an abundance of incompletely matured or immature clonally derived hematopoietic precursors called leukemic blasts. Rare leukemia stem cells (LSCs) that can self-renew as well as give rise to leukemic progenitors comprising the bulk of leukemic blasts are considered the cellular reservoir of disease initiation and maintenance. LSCs are widely thought to be relatively resistant as well as adaptive to chemotherapy and can cause disease relapse. Therefore, it is imperative to understand the molecular bases of LSC forms and functions during different stages of disease progression, so we can more accurately identify these cells and design therapies to target them. Irrespective of the morphological, cytogenetic, and cellular heterogeneity of AML, the uniform, singularly important and independently significant prognosticator of disease response to therapy and patient outcome is measurable or minimal residual disease (MRD) detection, defined by residual disease detection below the morphology-based 5% blast threshold. The importance of LSC identification and frequency estimation during MRD detection, in order to make MRD more effective in predicting disease relapse and modifying therapeutic regimen is becoming increasingly apparent. This review focuses on summarizing functional and cellular composition-based LSC identification and linking those studies to current techniques of MRD detection to suggest LSC-inclusive MRD detection as well as outline outstanding questions that need to be addressed to improve the future of AML clinical management and treatment outcomes.
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Affiliation(s)
- Kritika Srinivasan Rajsri
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA; (K.S.R.); (N.R.)
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, NY 10010, USA
| | - Nainita Roy
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA; (K.S.R.); (N.R.)
| | - Sohini Chakraborty
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA; (K.S.R.); (N.R.)
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17
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Shen YJ, Zhang Y, Chang J, Wang HF, Ye XN, Zhu L, Jin J, Zhu HH. CAG (cytarabine, aclarubicin and granulocyte colony-stimulating factor) regimen for core binding factor acute myeloid leukaemia with measurable residual disease. Ann Hematol 2023:10.1007/s00277-023-05213-6. [PMID: 37145324 DOI: 10.1007/s00277-023-05213-6] [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: 12/30/2022] [Accepted: 04/03/2023] [Indexed: 05/06/2023]
Abstract
Acute myeloid leukaemia (AML) with t (8;21) or inv (16), called core binding factor (CBF) AML, has a favourable prognosis. However, some CBF-AML patients have persistent measurable residual disease (MRD) and are more likely to relapse after standard chemotherapy treatment. The CAG regimen, composed of cytarabine, aclarubicin and granulocyte colony-stimulating factor, has been proven to be effective and safe in treating refractory AML patients. We performed a retrospective study to evaluate the efficacy of the CAG regimen to eliminate MRD detected by RUNX1::RUNX1T1 and CBFβ::MYH11 transcript levels by quantitative polymerase chain reaction (Q-PCR) among 23 patients. Molecular response was defined as the ratio of fusion transcript after treatment to that before treatment less than or equal to 0.5. The molecular response rate and median decrease ratio of fusion transcripts at the molecular level of the CAG regimen were 52% and 0.53, respectively. The median fusion transcripts before CAG treatment was 0.25% whereas after CAG was 0.11%. Among the 15 patients who had a poor molecular response to the high/intermediate-dose cytarabine regimen, the median decrease ratios of transcripts at the molecular level of high/intermediate-dose cytarabine and CAG were 1.55 and 0.53 (P = 0.028), respectively, and 6 of 15 patients achieved a molecular response to CAG (40%). The median disease-free survival was 18 months, and the overall survival rate at 3 years among all patients was 72.7% ± 10.7%. The common grades 3-4 adverse events were nausea (100%), thrombocytopenia (39%) and neutropenia (37.5%). The CAG regimen may have activity in CBF-AML patients and could provide a new option for patients who have a poor molecular response to high/intermediate-dose cytarabine.
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Affiliation(s)
- Yao-Jia Shen
- Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China
- Department of Haematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, People's Republic of China
| | - Yi Zhang
- Department of Haematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, People's Republic of China
- Zhejiang Provincial Clinical Research Center for Haematological Disorders, Hangzhou, People's Republic of China
| | - Jie Chang
- Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China
- Department of Haematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, People's Republic of China
| | - Hua-Feng Wang
- Department of Haematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, People's Republic of China
- Zhejiang Provincial Clinical Research Center for Haematological Disorders, Hangzhou, People's Republic of China
| | - Xing-Nong Ye
- Department of Haematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, People's Republic of China
- Zhejiang Provincial Clinical Research Center for Haematological Disorders, Hangzhou, People's Republic of China
| | - Li Zhu
- Department of Haematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, People's Republic of China
- Zhejiang Provincial Clinical Research Center for Haematological Disorders, Hangzhou, People's Republic of China
| | - Jie Jin
- Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China
- Department of Haematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, People's Republic of China
- Zhejiang Provincial Clinical Research Center for Haematological Disorders, Hangzhou, People's Republic of China
| | - Hong-Hu Zhu
- Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
- Department of Haematology, the First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, 310003, Hangzhou, Zhejiang Province, People's Republic of China.
- Zhejiang Provincial Clinical Research Center for Haematological Disorders, Hangzhou, People's Republic of China.
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18
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Kayser S, Levis MJ. The clinical impact of the molecular landscape of acute myeloid leukemia. Haematologica 2023; 108:308-320. [PMID: 36722402 PMCID: PMC9890016 DOI: 10.3324/haematol.2022.280801] [Citation(s) in RCA: 37] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Indexed: 02/02/2023] Open
Abstract
Research into the underlying pathogenic mechanisms of acute myeloid leukemia (AML) has led to remarkable advances in our understanding of the disease. Mutations now allow us to explore the enormous diversity among cytogenetically defined subsets of AML, particularly the large subset of cytogenetically normal AML. Despite the progress in unraveling the tumor genome, only a small number of recurrent mutations have been incorporated into risk-stratification schemes and have been proven to be clinically relevant, targetable lesions. The current World Health Organization Classification of myeloid neoplasms and leukemia includes eight AML categories defined by recurrent genetic abnormalities as well as three categories defined by gene mutations. We here discuss the utility of molecular markers in AML in prognostication and treatment decision-making. New therapies based on targetable markers include IDH inhibitors (ivosidenib, enasidenib), venetoclax-based therapy, FLT3 inhibitors (midostaurin, gilteritinib, and quizartinib), gemtuzumab ozogamicin, magrolimab and menin inhibitors.
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Affiliation(s)
- Sabine Kayser
- NCT Trial Center, National Center of Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg.
| | - Mark J. Levis
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University Baltimore, MD, USA
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19
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Measurable Residual Disease and Clonal Evolution in Acute Myeloid Leukemia from Diagnosis to Post-Transplant Follow-Up: The Role of Next-Generation Sequencing. Biomedicines 2023; 11:biomedicines11020359. [PMID: 36830896 PMCID: PMC9953407 DOI: 10.3390/biomedicines11020359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 01/28/2023] Open
Abstract
It has now been ascertained that acute myeloid leukemias-as in most type of cancers-are mixtures of various subclones, evolving by acquiring additional somatic mutations over the course of the disease. The complexity of leukemia clone architecture and the phenotypic and/or genotypic drifts that can occur during treatment explain why more than 50% of patients-in hematological remission-could relapse. Moreover, the complexity and heterogeneity of clone architecture represent a hindrance for monitoring measurable residual disease, as not all minimal residual disease monitoring methods are able to detect genetic mutations arising during treatment. Unlike with chemotherapy, which imparts a relatively short duration of selective pressure on acute myeloid leukemia clonal architecture, the immunological effect related to allogeneic hematopoietic stem cell transplant is prolonged over time and must be overcome for relapse to occur. This means that not all molecular abnormalities detected after transplant always imply inevitable relapse. Therefore, transplant represents a critical setting where a measurable residual disease-based strategy, performed during post-transplant follow-up by highly sensitive methods such as next-generation sequencing, could optimize and improve treatment outcome. The purpose of our review is to provide an overview of the role of next-generation sequencing in monitoring both measurable residual disease and clonal evolution in acute myeloid leukemia patients during the entire course of the disease, with special focus on the transplant phase.
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20
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Ciurea SO, Kothari A, Sana S, Al Malki MM. The mythological chimera and new era of relapse prediction post-transplant. Blood Rev 2023; 57:100997. [PMID: 35961800 DOI: 10.1016/j.blre.2022.100997] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 07/13/2022] [Accepted: 07/21/2022] [Indexed: 01/28/2023]
Abstract
Allogeneic hemopoietic stem cell transplantation is the treatment of choice for high-risk or relapsed acute leukemia. However, unfortunately, relapse post-transplant continues to be the most common cause of treatment failure with 20-80% of patients relapsing based on disease risk and status at transplant. Advances in molecular profiling of different hematological malignancies have enabled us to monitor low level disease before and after transplant and develop a more personalized approach to the management of these disease including early detection post-transplant. While, in general, detectable disease by morphology remains the gold standard to diagnosing relapse, multiple approaches have allowed detection of cancer cells earlier, using peripheral blood-based methods with sensitivities as high as 1:106, together called minimal/measurable residual disease (MRD) detection. However, a in significant number of patients with acute leukemia where no such molecular markers exist it remains challenging to detect early relapse. In such patients who receive transplantation, chimerism monitoring remains the only option. An increase in mixed chimerism in post allogeneic HCT patients has been correlated with relapse in multiple studies. However, chimerism monitoring, while commonly accepted as a tool for assessing engraftment, has not been routinely used for relapse detection, at least in part because of the lack of standardized, high sensitivity, reliable methods for chimerism detection. In this paper, we review the various methods employed for MRD and chimerism detection post-transplant and discuss future trends in MRD and chimerism monitoring from the viewpoint of the practicing transplant physician.
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Affiliation(s)
- Stefan O Ciurea
- University of California Irvine, Orange, CA, United States of America.
| | | | - Sean Sana
- CareDx Inc., Brisbane, CA, United States of America
| | - Monzr M Al Malki
- City of Hope National Medical Center, Duarte, CA, United States of America
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21
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Stanojevic M, Grant M, Vesely SK, Knoblach S, Kanakry CG, Nazarian J, Panditharatna E, Panchapakesan K, Gress RE, Holter-Chakrabarty J, Williams KM. Peripheral blood marker of residual acute leukemia after hematopoietic cell transplantation using multi-plex digital droplet PCR. Front Immunol 2022; 13:999298. [PMID: 36248870 PMCID: PMC9556966 DOI: 10.3389/fimmu.2022.999298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/12/2022] [Indexed: 11/17/2022] Open
Abstract
Background Relapse remains the primary cause of death after hematopoietic cell transplantation (HCT) for acute leukemia. The ability to identify minimal/measurable residual disease (MRD) via the blood could identify patients earlier when immunologic interventions may be more successful. We evaluated a new test that could quantify blood tumor mRNA as leukemia MRD surveillance using droplet digital PCR (ddPCR). Methods The multiplex ddPCR assay was developed using tumor cell lines positive for the tumor associated antigens (TAA: WT1, PRAME, BIRC5), with homeostatic ABL1. On IRB-approved protocols, RNA was isolated from mononuclear cells from acute leukemia patients after HCT (n = 31 subjects; n = 91 specimens) and healthy donors (n = 20). ddPCR simultaneously quantitated mRNA expression of WT1, PRAME, BIRC5, and ABL1 and the TAA/ABL1 blood ratio was measured in patients with and without active leukemia after HCT. Results Tumor cell lines confirmed quantitation of TAAs. In patients with active acute leukemia after HCT (MRD+ or relapse; n=19), the blood levels of WT1/ABL1, PRAME/ABL1, and BIRC5/ABL1 exceeded healthy donors (p<0.0001, p=0.0286, and p=0.0064 respectively). Active disease status was associated with TAA positivity (1+ TAA vs 0 TAA) with an odds ratio=10.67, (p=0.0070, 95% confidence interval 1.91 - 59.62). The area under the curve is 0.7544. Changes in ddPCR correlated with disease response captured on standard of care tests, accurately denoting positive or negative disease burden in 15/16 (95%). Of patients with MRD+ or relapsed leukemia after HCT, 84% were positive for at least one TAA/ABL1 in the peripheral blood. In summary, we have developed a new method for blood MRD monitoring of leukemia after HCT and present preliminary data that the TAA/ABL1 ratio may may serve as a novel surrogate biomarker for relapse of acute leukemia after HCT.
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Affiliation(s)
- M. Stanojevic
- Department of Pediatrics, MedStar Georgetown University Hospital, Washington, DC, United States
| | - M. Grant
- Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Emory University, Atlanta, GA, United States
| | - S. K. Vesely
- Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma, OK, United States
| | - S. Knoblach
- Children’s Research Institute, Research Center for Genetic Medicine, Children’s National Health System, Washington, DC, United States
| | - C. G. Kanakry
- Experimental Transplantation and Immunotherapy Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - J. Nazarian
- Children’s Research Institute, Research Center for Genetic Medicine, Children’s National Health System, Washington, DC, United States,Department of Oncology, Children’s Research Center, University Children’s Hospital Zurich, Zurich, Switzerland
| | - E. Panditharatna
- Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA, United States
| | - K. Panchapakesan
- Children’s Research Institute, Research Center for Genetic Medicine, Children’s National Health System, Washington, DC, United States
| | - R. E. Gress
- Experimental Transplantation and Immunotherapy Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - J. Holter-Chakrabarty
- Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma, OK, United States
| | - Kirsten M. Williams
- Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Emory University, Atlanta, GA, United States,*Correspondence: Kirsten M. Williams,
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22
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Kreidieh F, Abou Dalle I, Moukalled N, El-Cheikh J, Brissot E, Mohty M, Bazarbachi A. Relapse after allogeneic hematopoietic stem cell transplantation in acute myeloid leukemia: an overview of prevention and treatment. Int J Hematol 2022; 116:330-340. [PMID: 35841458 DOI: 10.1007/s12185-022-03416-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 06/29/2022] [Accepted: 06/29/2022] [Indexed: 12/17/2022]
Abstract
Despite therapeutic progress in acute myeloid leukemia (AML), relapse post-allogeneic hematopoietic stem cell transplantation (allo-HSCT) remains a major challenge. Here, we aim to provide an overview of prevention and treatment of relapse in this population, including cell-based and pharmacologic options. Post-transplant maintenance therapy is used in patients who have undetectable measurable residual disease (MRD), while pre-emptive treatment is administered upon detection of MRD. Prompt transfusion of prophylactic donor lymphocyte infusion (DLI) was found to be effective in preventing relapse and overcoming the negative impact of detectable MRD. In addition, patients with persistent targetable mutations can benefit from targeted post-transplant pharmacological interventions. IDH inhibitors have shown promising results in relapsed/refractory AML. Hypomethylating agents, such as decitabine and azacitidine, have been studied in the post-allo-HSCT setting, both as pre-emptive and prophylactic. Venetoclax has been shown effective in combination with hypomethylating agents or low-dose cytarabine in patients with newly diagnosed AML, especially those unfit for intensive chemotherapy. FLT3 inhibitors, the topic of another section in this review series, have significantly improved survival in FLT-3-ITD mutant AML. The role of other cell-based therapies, including CAR-T cells, in AML is currently being investigated.
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Affiliation(s)
- Firas Kreidieh
- Department of Internal Medicine, Medical Center, Bone Marrow Transplant Program, American University of Beirut, Beirut, Lebanon
| | - Iman Abou Dalle
- Department of Internal Medicine, Medical Center, Bone Marrow Transplant Program, American University of Beirut, Beirut, Lebanon
| | - Nour Moukalled
- Department of Internal Medicine, Medical Center, Bone Marrow Transplant Program, American University of Beirut, Beirut, Lebanon
| | - Jean El-Cheikh
- Department of Internal Medicine, Medical Center, Bone Marrow Transplant Program, American University of Beirut, Beirut, Lebanon
| | - Eolia Brissot
- Department of Clinical Hematology and Cellular Therapy, Saint-Antoine Hospital, INSERM UMR 938 and Sorbonne University, Paris, France
| | - Mohamed Mohty
- Department of Clinical Hematology and Cellular Therapy, Saint-Antoine Hospital, INSERM UMR 938 and Sorbonne University, Paris, France
| | - Ali Bazarbachi
- Department of Internal Medicine, Medical Center, Bone Marrow Transplant Program, American University of Beirut, Beirut, Lebanon.
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23
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Molecular Measurable Residual Disease Assessment before Hematopoietic Stem Cell Transplantation in Pediatric Acute Myeloid Leukemia Patients: A Retrospective Study by the I-BFM Study Group. Biomedicines 2022; 10:biomedicines10071530. [PMID: 35884834 PMCID: PMC9313005 DOI: 10.3390/biomedicines10071530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/14/2022] [Accepted: 06/24/2022] [Indexed: 11/16/2022] Open
Abstract
Hematopoietic stem cell transplantation (HSCT) is a curative post-remission treatment in patients with acute myeloid leukemia (AML), but relapse after transplant is still a challenging event. In recent year, several studies have investigated the molecular minimal residual disease (qPCR-MRD) as a predictor of relapse, but the lack of standardized protocols, cut-offs, and timepoints, especially in the pediatric setting, has prevented its use in several settings, including before HSCT. Here, we propose the first collaborative retrospective I-BFM-AML study assessing qPCR-MRD values in pretransplant bone marrow samples of 112 patients with a diagnosis of AML harboring t(8;21)(q22; q22)RUNX1::RUNX1T1, or inv(16)(p13q22)CBFB::MYH11, or t(9;11)(p21;q23)KMT2A::MLLT3, or FLT3-ITD genetic markers. We calculated an ROC cut-off of 2.1 × 10−4 that revealed significantly increased OS (83.7% versus 57.1%) and EFS (80.2% versus 52.9%) for those patients with lower qPCR-MRD values. Then, we partitioned patients into three qPCR-MRD groups by combining two different thresholds, 2.1 × 10−4 and one lower cut-off of 1 × 10−2, and stratified patients into low-, intermediate-, and high-risk groups. We found that the 5-year OS (83.7%, 68.6%, and 39.2%, respectively) and relapse-free survival (89.2%, 73.9%, and 67.9%, respectively) were significantly different independent of the genetic lesion, conditioning regimen, donor, and stem cell source. These data support the PCR-based approach playing a clinical relevance in AML transplant management.
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24
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Memoli M, Genthon A, Favale F, Lapusan S, Johnson N, Adaeva R, Deswarte C, Battipaglia G, Malard F, Duléry R, Brissot E, Banet A, Van de Wyngaert Z, Mohty M, Delhommeau F, Legrand O, Hirsch P. Prognostic impact of early minimal residual disease combined with complete molecular evaluation in acute myeloid leukemia with mutated NPM1: a single center study. Leuk Lymphoma 2022; 63:2171-2179. [DOI: 10.1080/10428194.2022.2064987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Mara Memoli
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
- Department of Medicine and Surgery, Hematology and Hematopoietic Stem Cell Transplant Center, University of Naples Federico II, Naples, Italy
| | - Alexis Genthon
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - Fabrizia Favale
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie biologique, Paris, France
| | - Simona Lapusan
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - Natacha Johnson
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie biologique, Paris, France
| | - Rosa Adaeva
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - Caroline Deswarte
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie biologique, Paris, France
| | - Giorgia Battipaglia
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
- Department of Medicine and Surgery, Hematology and Hematopoietic Stem Cell Transplant Center, University of Naples Federico II, Naples, Italy
| | - Florent Malard
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - Rémy Duléry
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - Eolia Brissot
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - Anne Banet
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - Zoé Van de Wyngaert
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - Mohamad Mohty
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - François Delhommeau
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie biologique, Paris, France
| | - Ollivier Legrand
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie clinique et de thérapie cellulaire, Paris, France
| | - Pierre Hirsch
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, AP-HP, Hôpital Saint-Antoine, Service d'hématologie biologique, Paris, France
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25
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Healy FM, Dahal LN, Jones JRE, Floisand Y, Woolley JF. Recent Progress in Interferon Therapy for Myeloid Malignancies. Front Oncol 2021; 11:769628. [PMID: 34778087 PMCID: PMC8586418 DOI: 10.3389/fonc.2021.769628] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 10/13/2021] [Indexed: 12/29/2022] Open
Abstract
Myeloid malignancies are a heterogeneous group of clonal haematopoietic disorders, caused by abnormalities in haematopoietic stem cells (HSCs) and myeloid progenitor cells that originate in the bone marrow niche. Each of these disorders are unique and present their own challenges with regards to treatment. Acute myeloid leukaemia (AML) is considered the most aggressive myeloid malignancy, only potentially curable with intensive cytotoxic chemotherapy with or without allogeneic haematopoietic stem cell transplantation. In comparison, patients diagnosed with chronic myeloid leukaemia (CML) and treated with tyrosine kinase inhibitors (TKIs) have a high rate of long-term survival. However, drug resistance and relapse are major issues in both these diseases. A growing body of evidence suggests that Interferons (IFNs) may be a useful therapy for myeloid malignancies, particularly in circumstances where patients are resistant to existing front-line therapies and have risk of relapse following haematopoietic stem cell transplant. IFNs are a major class of cytokines which are known to play an integral role in the non-specific immune response. IFN therapy has potential as a combination therapy in AML patients to reduce the impact of minimal residual disease on relapse. Alongside this, IFNs can potentially sensitize leukaemic cells to TKIs in resistant CML patients. There is evidence also that IFNs have a therapeutic role in myeloproliferative neoplasms (MPNs) such as polycythaemia vera (PV) and primary myelofibrosis (PMF), where they can restore polyclonality in patients. Novel formulations have improved the clinical effectiveness of IFNs. Low dose pegylated IFN formulations improve pharmacokinetics and improve patient tolerance to therapies, thereby minimizing the risk of haematological toxicities. Herein, we will discuss recent developments and the current understanding of the molecular and clinical implications of Type I IFNs for the treatment of myeloid malignancies.
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Affiliation(s)
- Fiona M Healy
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - Lekh N Dahal
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - Jack R E Jones
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - Yngvar Floisand
- Department of Molecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.,The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, United Kingdom
| | - John F Woolley
- Department of Pharmacology & Therapeutics, University of Liverpool, Liverpool, United Kingdom
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26
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Hou C, Zhou L, Yang M, Jiang S, Shen H, Zhu M, Chen J, Miao M, Xu Y, Wu D. The Prognostic Value of Early Detection of Minimal Residual Disease as Defined by Flow Cytometry and Gene Mutation Clearance for Myelodysplastic Syndrome Patients After Myeloablative Allogeneic Hematopoietic Stem-Cell Transplantation. Front Oncol 2021; 11:700234. [PMID: 34422653 PMCID: PMC8374104 DOI: 10.3389/fonc.2021.700234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 06/14/2021] [Indexed: 01/17/2023] Open
Abstract
High relapse incidence remains a major problem for myelodysplastic syndrome (MDS) patients who have received an allogeneic hematopoietic stem-cell transplantation (allo-HSCT). We retrospectively analyzed the correlations between clinical outcomes and minimal residual disease (MRD) by using mutations (MUT) and flow cytometry (FCM) analysis of 115 MDS patients with allo-HSCT. We divided 115 MDS patients into four groups based on molecular genetics and FCM MRD results at day 30 post-HSCT. There were significant differences in the 2-year progression-free survival (PFS) between the FCMhigh MUTpos and FCMlow MUTneg groups (20% vs 79%, P < 0.001). In addition, by univariate analysis, we found that an IPSS-R score ≥4 pre-HSCT (HR, 5.061; P=0.007), DNMT3A mutations (HR, 2.291; P=0.052), TP53 mutations (HR, 3.946; P=0.011), and poor and very poor revised International Prognostic Scoring System (IPSS-R) cytogenetic risk (HR, 4.906; P < 0.001) were poor risk factors for PFS. In multivariate analysis, we found that an IPSS-R score ≥ 4 pre-HSCT (HR, 4.488; P=0.015), DNMT3A mutations (HR, 2.385; P=0.049), positive FCM MRD combined with persistence gene mutations at day 30 (HR, 5.198; P=0.013) were independent risk factors for disease progression. In conclusion, our data indicated that monitoring MRD by FCM combined with gene mutation clearance at day 30 could help in the prediction of disease progression for MDS patients after transplantation.
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Affiliation(s)
- Chang Hou
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Lili Zhou
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Menglu Yang
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shuhui Jiang
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Hongjie Shen
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Mingqing Zhu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jia Chen
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Miao Miao
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yang Xu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
| | - Depei Wu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
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27
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Abstract
In the past few years research in the underlying pathogenic mechanisms of acute myeloid leukaemia (AML) has led to remarkable advances in our understanding of the disease. Cytogenetic and molecular aberrations are the most important factors in determining response to chemotherapy as well as long-term outcome, but beyond prognostication are potential therapeutic targets. Our increased understanding of the pathogenesis of AML facilitated by next-generation sequencing has spurred the development of new compounds in the treatment of AML, particularly the creation of small molecules that target the disease on a molecular level. Many of the hopeful predictions outlined in our AML review of 2018 are now therapeutic realities: gemtuzumab ozogamicin, venetoclax, FLT3 inhibitors (midostaurin, gilteritinib), IDH inhibitors (ivosidenib, enasidenib), CPX-351, glasdegib, oral decitabine, and oral azacitidine. Others may soon be (quizartinib, APR246 magrolimab, menin inhibitors). The wealth of positive data allows reconsideration of what might soon be new standards of care in younger and older patients with AML. In this review we give an overview of recently approved therapies in AML and address present and future research directions.
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Affiliation(s)
- Sabine Kayser
- Medical Clinic and Policlinic I, Hematology and Cellular Therapy, University Hospital Leipzig, Leipzig, Germany.,NCT Trial Center, National Center of Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mark J Levis
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
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28
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Paiva B, Vidriales MB, Sempere A, Tarín F, Colado E, Benavente C, Cedena MT, Sánchez J, Caballero-Velazquez T, Cordón L, Garces JJ, Simoes C, Martínez-Cuadrón D, Bernal T, Botella C, Grille S, Serrano J, Rodríguez-Medina C, Algarra L, Alonso-Domínguez JM, Amigo ML, Barrios M, García-Boyero R, Colorado M, Pérez-Oteyza J, Pérez-Encinas M, Costilla-Barriga L, Sayas MJ, Pérez O, González-Díaz M, Pérez-Simón JA, Martínez-López J, Sossa C, Orfao A, San Miguel JF, Sanz MÁ, Montesinos P. Impact of measurable residual disease by decentralized flow cytometry: a PETHEMA real-world study in 1076 patients with acute myeloid leukemia. Leukemia 2021; 35:2358-2370. [PMID: 33526859 DOI: 10.1038/s41375-021-01126-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 11/09/2020] [Accepted: 01/07/2021] [Indexed: 01/29/2023]
Abstract
The role of decentralized assessment of measurable residual disease (MRD) for risk stratification in acute myeloid leukemia (AML) remains largely unknown, and so it does which methodological aspects are critical to empower the evaluation of MRD with prognostic significance, particularly if using multiparameter flow cytometry (MFC). We analyzed 1076 AML patients in first remission after induction chemotherapy, in whom MRD was evaluated by MFC in local laboratories of 60 Hospitals participating in the PETHEMA registry. We also conducted a survey on technical aspects of MRD testing to determine the impact of methodological heterogeneity in the prognostic value of MFC. Our results confirmed the recommended cutoff of 0.1% to discriminate patients with significantly different cumulative-incidence of relapse (-CIR- HR:0.71, P < 0.001) and overall survival (HR: 0.73, P = 0.001), but uncovered the limited prognostic value of MFC based MRD in multivariate and recursive partitioning models including other clinical, genetic and treatment related factors. Virtually all aspects related with methodological, interpretation, and reporting of MFC based MRD testing impacted in its ability to discriminate patients with different CIR. Thus, this study demonstrated that "real-world" assessment of MRD using MFC is prognostic in patients at first remission, and urges greater standardization for improved risk-stratification toward clinical decisions in AML.
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Affiliation(s)
- Bruno Paiva
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBER-ONC number CB16/12/00369, Pamplona, Spain
| | - María-Belen Vidriales
- Department of Hematology, University Hospital of Salamanca (HUS/IBSAL), CIBERONC (CB16/12/002333) and Center for Cancer Research-IBMCC (USAL-CSIC), Salamanca, Spain
| | - Amparo Sempere
- Hospital Universitario y Politécnico La Fe, CIBER-ONC number CB16/12/00284, Valencia, Spain
| | - Fabián Tarín
- Hospital General Universitario de Alicante, Alicante, Spain
| | - Enrique Colado
- Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria y Universitario Oncológico del Principado de Asturias (ISPA / IUOPA), Oviedo, Spain
| | | | | | | | - Teresa Caballero-Velazquez
- Hopsital Universitario Virgen del Rocío, Instituto de Biomedicina (IBIS / CSIC / CIBERONC), Universidad de Sevilla, Sevilla, Spain
| | - Lourdes Cordón
- Hospital Universitario y Politécnico La Fe, CIBER-ONC number CB16/12/00284, Valencia, Spain
| | - Juan-Jose Garces
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBER-ONC number CB16/12/00369, Pamplona, Spain
| | - Catia Simoes
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBER-ONC number CB16/12/00369, Pamplona, Spain
| | - David Martínez-Cuadrón
- Hospital Universitario y Politécnico La Fe, CIBER-ONC number CB16/12/00284, Valencia, Spain
| | - Teresa Bernal
- Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria y Universitario Oncológico del Principado de Asturias (ISPA / IUOPA), Oviedo, Spain
| | - Carmen Botella
- Hospital General Universitario de Alicante, Alicante, Spain
| | - Sofia Grille
- Hospital de Clinicas. Montevideo, Uruguay, Spain
| | | | | | | | | | | | - Manuel Barrios
- Hospital Regional Universitario de Málaga, Malaga, Spain
| | | | | | | | | | | | | | - Olga Pérez
- Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Marcos González-Díaz
- Department of Hematology, University Hospital of Salamanca (HUS/IBSAL), CIBERONC (CB16/12/002333) and Center for Cancer Research-IBMCC (USAL-CSIC), Salamanca, Spain
| | - José A Pérez-Simón
- Hopsital Universitario Virgen del Rocío, Instituto de Biomedicina (IBIS / CSIC / CIBERONC), Universidad de Sevilla, Sevilla, Spain
| | | | | | - Alberto Orfao
- Cancer Research Center (IBMCC-CSIC/USAL-IBSAL); Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca, Salamanca, Spain.,(USAL) Centro de Investigación Biomédica en Red de Cáncer, Instituto Carlos III, Salamanca, Spain.,CIBER-ONC number CB16/12/00400, Salamanca, Spain
| | - Jesús F San Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), IDISNA, CIBER-ONC number CB16/12/00369, Pamplona, Spain
| | - Miguel-Ángel Sanz
- Hospital Universitario y Politécnico La Fe, CIBER-ONC number CB16/12/00284, Valencia, Spain
| | - Pau Montesinos
- Hospital Universitario y Politécnico La Fe, CIBER-ONC number CB16/12/00284, Valencia, Spain.
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Abstract
Minimal or measurable residual disease (MRD) after therapy is the most important independent prognostic factor in acute myeloid leukemia. MRD measured by multiparametric flow cytometry and real-time quantitative polymerase chain reaction has been integrated into risk stratification and used to guide future treatment strategies. Recent technological advances have allowed the application of the novel molecular method, high-throughput sequencing, in MRD detection in clinical practice to improve sensitivity and specificity. Randomized studies are needed to address outstanding issues, including the optimal methods and timing of MRD testing and interlaboratory standardization to facilitate comparisons, to further improve MRD-directed interventions.
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Affiliation(s)
- Xueyan Chen
- Hematopathology, SCCA G7800, 825 Eastlake Ave E., Seattle, WA 98109, USA
| | - Sindhu Cherian
- Hematopathology, SCCA G7800, 825 Eastlake Ave E., Seattle, WA 98109, USA.
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30
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Narlı Özdemir Z, Şahin U, Dalva K, Baltacı MA, Uslu A, Öztürk C, Cengiz Seval G, Toprak SK, Kurt Yüksel M, Topçuoğlu P, Arslan Ö, Özcan M, Beksaç M, İlhan O, Gürman G, Civriz Bozdağ S. Highlighting the Prognostic Importance of Measurable Residual Disease Among Acute Myeloid Leukemia Risk Factors. Turk J Haematol 2021; 38:111-118. [PMID: 33112099 PMCID: PMC8171203 DOI: 10.4274/tjh.galenos.2020.2020.0157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Objective: The optimal timing of measurable residual disease (MRD) evaluation in acute myeloid leukemia (AML) patients has not been well defined yet. We aimed to investigate the impact of MRD in pre- and post-allogeneic hematopoietic stem cell transplantation (AHSCT) periods on prognostic parameters. Materials and Methods: Seventy-seven AML patients who underwent AHSCT in complete morphological remission were included. MRD analyses were performed by 10-color MFC and 10-4 was defined as positive. Relapse risk and survival outcomes were assessed based on pre- and post-AHSCT MRD positivity. Results: The median age of the patients was 46 (range: 18-71) years, and 41 (53.2%) were male while 36 (46.8%) were female. The median follow-up after AHSCT was 12.2 months (range: 0.2-73.0). The 2-year overall survival (OS) in the entire cohort was 37.0%, with a significant difference between patients who were MRD-negative and MRD-positive before AHSCT, estimated as 63.0% versus 16.0%, respectively (p=0.005). MRD positivity at +28 days after AHSCT was also associated with significantly inferior 2-year OS when compared to MRD negativity (p=0.03). The risk of relapse at 1 year was 2.4 times higher (95% confidence interval: 1.1-5.6; p=0.04) in the pre-AHSCT MRD-positive group when compared to the MRD-negative group regardless of other transplant-related factors, including pre-AHSCT disease status (i.e., complete remission 1 and 2). Event-free survival (EFS) was significantly shorter in patients who were pre-AHSCT MRD-positive (p=0.016). Post-AHSCT MRD positivity was also related to an increased relapse risk. OS and EFS were significantly inferior among MRD-positive patients at +28 days after AHSCT (p=0.03 and p=0.019). Conclusion: Our results indicate the importance of MRD before and after AHSCT independently of other factors.
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Affiliation(s)
| | - Uğur Şahin
- Medicana International Ankara Hospital, Clinic of Hematology, Ankara, Turkey
| | - Klara Dalva
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Mehmet Akif Baltacı
- Ankara University Faculty of Medicine, Department of Internal Medicine, Ankara, Turkey
| | - Atilla Uslu
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Cemaleddin Öztürk
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | | | - Selami Koçak Toprak
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Meltem Kurt Yüksel
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Pervin Topçuoğlu
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Önder Arslan
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Muhit Özcan
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Meral Beksaç
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Osman İlhan
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Günhan Gürman
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
| | - Sinem Civriz Bozdağ
- Ankara University Faculty of Medicine, Department of Hematology, Ankara, Turkey
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31
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Pettersson L, Johansson Alm S, Almstedt A, Chen Y, Orrsjö G, Shah-Barkhordar G, Zhou L, Kotarsky H, Vidovic K, Asp J, Lazarevic V, Saal LH, Fogelstrand L, Ehinger M. Comparison of RNA- and DNA-based methods for measurable residual disease analysis in NPM1-mutated acute myeloid leukemia. Int J Lab Hematol 2021; 43:664-674. [PMID: 34053184 DOI: 10.1111/ijlh.13608] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 05/02/2021] [Accepted: 05/06/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Reverse transcriptase quantitative PCR (RT-qPCR) is considered the method of choice for measurable residual disease (MRD) assessment in NPM1-mutated acute myeloid leukemia (AML). MRD can also be determined with DNA-based methods offering certain advantages. We here compared the DNA-based methods quantitative PCR (qPCR), droplet digital PCR (ddPCR), and targeted deep sequencing (deep seq) with RT-qPCR. METHODS Of 110 follow-up samples from 30 patients with NPM1-mutated AML were analyzed by qPCR, ddPCR, deep seq, and RT-qPCR. To select DNA MRD cutoffs for bone marrow, we performed receiver operating characteristic analyses for each DNA method using prognostically relevant RT-qPCR cutoffs. RESULTS The DNA-based methods showed strong intermethod correlation, but were less sensitive than RT-qPCR. A bone marrow cutoff at 0.1% leukemic DNA for qPCR or 0.05% variant allele frequency for ddPCR and deep seq offered optimal sensitivity and specificity with respect to 3 log10 reduction of NPM1 transcripts and/or 2% mutant NPM1/ABL. With these cutoffs, MRD results agreed in 95% (191/201) of the analyses. Although more sensitive, RT-qPCR failed to detect leukemic signals in 10% of samples with detectable leukemic DNA. CONCLUSION DNA-based MRD techniques may complement RT-qPCR for assessment of residual leukemia. DNA-based methods offer high positive and negative predictive values with respect to residual leukemic NPM1 transcripts at levels of importance for response to treatment. However, moving to DNA-based MRD methods will miss a proportion of patients with residual leukemic RNA, but on the other hand some MRD samples with detectable leukemic DNA can be devoid of measurable leukemic RNA.
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Affiliation(s)
- Louise Pettersson
- Department of Clinical Sciences, Division of Pathology, Lund University, Skane University Hospital, Lund, Sweden.,Department of Pathology, Halland Hospital Halmstad, Region Halland, Halmstad, Sweden
| | - Sofie Johansson Alm
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Alvar Almstedt
- SciLife Clinical Genomics Gothenburg, Gothenburg, Sweden
| | - Yilun Chen
- Department of Clinical Sciences, Division of Oncology, Faculty of Medicine, Lund University, Lund, Sweden
| | - Gustav Orrsjö
- Section for Hematology and Coagulation, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Giti Shah-Barkhordar
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Li Zhou
- Klinisk Patologi, Region Laboratories, Region Skåne, Lund, Sweden
| | - Heike Kotarsky
- Klinisk Patologi, Region Laboratories, Region Skåne, Lund, Sweden
| | - Karina Vidovic
- Department of Clinical Sciences, Division of Pathology, Lund University, Skane University Hospital, Lund, Sweden
| | - Julia Asp
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Vladimir Lazarevic
- Department of Hematology, Oncology and Radiation Physics, Lund University, Skane University Hospital, Lund, Sweden
| | - Lao H Saal
- Department of Clinical Sciences, Division of Oncology, Faculty of Medicine, Lund University, Lund, Sweden.,Lund University Cancer Center, Medicon Village, Lund, Sweden
| | - Linda Fogelstrand
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Mats Ehinger
- Department of Clinical Sciences, Division of Pathology, Lund University, Skane University Hospital, Lund, Sweden.,Klinisk Patologi, Region Laboratories, Region Skåne, Lund, Sweden
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32
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Kantarjian HM, Short NJ, Fathi AT, Marcucci G, Ravandi F, Tallman M, Wang ES, Wei AH. Acute Myeloid Leukemia: Historical Perspective and Progress in Research and Therapy Over 5 Decades. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2021; 21:580-597. [PMID: 34176779 DOI: 10.1016/j.clml.2021.05.016] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/20/2021] [Accepted: 05/22/2021] [Indexed: 12/17/2022]
Abstract
With the Food and Drug Administration approval of 9 agents for different acute myeloid leukemia (AML) indications, the prognosis and management of AML is evolving rapidly. Herein, we review the important milestones in the history of AML research and therapy, discuss insights regarding prognostic assessment and prediction of treatment outcome, detail practical supportive care measures, and summarize the current treatment landscape and areas of evolving research.
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Affiliation(s)
| | - Nicholas J Short
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Amir T Fathi
- Leukemia Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Guido Marcucci
- Gehr Family Center for Leukemia Research City of Hope, Duarte, CA, USA
| | - Farhad Ravandi
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Martin Tallman
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Eunice S Wang
- Leukemia Service, Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Andrew H Wei
- Department of Clinical Hematology, The Alfred Hospital and Monash University, Melbourne, Australia
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33
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Tsai CH, Tang JL, Tien FM, Kuo YY, Wu DC, Lin CC, Tseng MH, Peng YL, Hou MF, Chuang YK, Liu MC, Liu CW, Yao M, Lin LI, Chou WC, Chen CY, Hou HA, Tien HF. Clinical implications of sequential MRD monitoring by NGS at 2 time points after chemotherapy in patients with AML. Blood Adv 2021; 5:2456-2466. [PMID: 33999144 PMCID: PMC8152512 DOI: 10.1182/bloodadvances.2020003738] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 03/11/2021] [Indexed: 01/12/2023] Open
Abstract
Next-generation sequencing (NGS) has been applied to measurable/minimal residual disease (MRD) monitoring after induction chemotherapy in patients with acute myeloid leukemia (AML), but the optimal time point for the test remains unclear. In this study, we aimed to investigate the clinical significance of NGS MRD at 2 different time points. We performed targeted NGS of 54 genes in bone marrow cells serially obtained at diagnosis, first complete remission (first time point), and after the first consolidation chemotherapy (second time point) from 335 de novo AML patients. Excluding DNMT3A, TET2, and ASXL1 mutations, which are commonly present in individuals with clonal hematopoiesis of indeterminate potential, MRD could be detected in 46.4% of patients at the first time point (MRD1st), and 28.9% at the second time point (MRD2nd). The patients with detectable NGS MRD at either time point had a significantly higher cumulative incidence of relapse and shorter relapse-free survival and overall survival. In multivariate analysis, MRD1st and MRD2nd were both independent poor prognostic factors. However, the patients with positive MRD1st but negative MRD2nd had a similar good prognosis as those with negative MRD at both time points. The incorporation of multiparameter flow cytometry and NGS MRD revealed that the presence of NGS MRD predicted poorer prognosis among the patients without detectable MRD by multiparameter flow cytometry at the second time point but not the first time point. In conclusion, the presence of NGS MRD, especially after the first consolidation therapy, can help predict the clinical outcome of AML patients.
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Affiliation(s)
- Cheng-Hong Tsai
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Genome and Systems Biology Degree Program
| | - Jih-Luh Tang
- National Taiwan University Cancer Center, and
- Tai-Chen Cell Therapy Center, National Taiwan University, Taipei, Taiwan
| | | | - Yuan-Yeh Kuo
- Tai-Chen Cell Therapy Center, National Taiwan University, Taipei, Taiwan
| | | | - Chien-Chin Lin
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Mei-Hsuan Tseng
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yen-Ling Peng
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Mei-Fang Hou
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Nursing and
| | - Yi-Kuang Chuang
- Tai-Chen Cell Therapy Center, National Taiwan University, Taipei, Taiwan
| | - Ming-Chih Liu
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan; and
| | - Chia-Wen Liu
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan; and
| | - Ming Yao
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Liang-In Lin
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, and
| | - Wen-Chien Chou
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Yu Chen
- Genome and Systems Biology Degree Program
- Department of Biomechatronics Engineering, National Taiwan University, Taipei, Taiwan
| | - Hsin-An Hou
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Hwei-Fang Tien
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
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34
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Liu FJ, Cheng WY, Lin XJ, Wang SY, Jiang TY, Ma TT, Zhu YM, Shen Y. Measurable Residual Disease Detected by Multiparameter Flow Cytometry and Sequencing Improves Prediction of Relapse and Survival in Acute Myeloid Leukemia. Front Oncol 2021; 11:677833. [PMID: 34094982 PMCID: PMC8173083 DOI: 10.3389/fonc.2021.677833] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 04/26/2021] [Indexed: 11/13/2022] Open
Abstract
The clinically ideal time point and optimal approach for the assessment of measurable residual disease (MRD) in patients with acute myeloid leukemia (AML) are still inconclusive. We investigated the clinical value of multiparameter flow cytometry-based MRD (MFC MRD) after induction (n = 492) and two cycles of consolidation (n = 421). The latter time point was proved as a superior indicator with independent prognostic significance for both relapse-free survival (RFS, HR = 3.635, 95% CI: 2.433-5.431, P <0.001) and overall survival (OS: HR = 3.511, 95% CI: 2.191-5.626, P <0.001). Furthermore, several representative molecular MRD markers were compared with the MFC MRD. Both approaches can establish prognostic value in patients with NPM1 mutations, and FLT3, C-KIT, or N-RAS mutations involved in kinase-related signaling pathways, while the combination of both techniques further refined the risk stratification. The detection of RUNX1-RUNX1T1 fusion transcripts achieved a considerable net reclassification improvement in predicting the prognosis. Conversely, for patients with biallelic CEBPA or DNMT3A mutations, only the MFC method was recommended due to the poor prognostic discriminability in tracking mutant transcripts. In conclusion, this study demonstrated that the MFC MRD after two consolidation cycles independently predicted clinical outcomes, and the integration of MFC and molecular MRD should depend on different types of AML-related genetic lesions.
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Affiliation(s)
- Fu-Jia Liu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen-Yan Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Jing Lin
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shi-Yang Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tian-Yi Jiang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting-Ting Ma
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong-Mei Zhu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang Shen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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35
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Measurable residual disease status and outcome of transplant in acute myeloid leukemia in second complete remission: a study by the acute leukemia working party of the EBMT. Blood Cancer J 2021; 11:88. [PMID: 33980810 PMCID: PMC8116335 DOI: 10.1038/s41408-021-00479-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 11/07/2020] [Accepted: 12/01/2020] [Indexed: 12/11/2022] Open
Abstract
Measurable residual disease (MRD) prior to hematopoietic cell transplant (HCT) for acute myeloid leukemia (AML) in first complete morphological remission (CR1) is an independent predictor of outcome, but few studies address CR2. This analysis by the Acute Leukemia Working Party of the European Society for Blood and Marrow Transplantation registry assessed HCT outcomes by declared MRD status in a cohort of 1042 adult patients with AML CR2 at HCT. Patients were transplanted 2006–2016 from human leukocyte antigen (HLA) matched siblings (n = 719) or HLA 10/10 matched unrelated donors (n = 293). Conditioning was myeloablative (n = 610) or reduced-intensity (n = 432) and 566 patients (54%) had in-vivo T cell depletion. At HCT, 749 patients (72%) were MRD negative (MRD NEG) and 293 (28%) were MRD positive (MRD POS). Time from diagnosis to HCT was longer in MRD NEG than MRD POS patients (18 vs. 16 months (P < 0.001). Two-year relapse rates were 24% (95% CI, 21–28) and 40% (95% CI, 34–46) in MRD NEG and MRD POS groups (P < 0.001), respectively. Leukemia-free survival (LFS) was 57% (53–61) and 46% (40–52%), respectively (P = 0.001), but there was no difference in terms of overall survival. Prognostic factors for relapse and LFS were MRD NEG status, good risk cytogenetics, and longer time from diagnosis to HCT. In-vivo T cell depletion predicted relapse.
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36
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Hoch REE, Cóser VM, Santos IS, de Souza APD. Lymphoid markers predict prognosis of pediatric and adolescent acute myeloid leukemia. Leuk Res 2021; 107:106603. [PMID: 33957373 DOI: 10.1016/j.leukres.2021.106603] [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: 02/04/2021] [Revised: 04/24/2021] [Accepted: 04/28/2021] [Indexed: 10/21/2022]
Abstract
Acute Myeloid Leukemia (AML) is a complex and highly aggressive disease. To characterize the prognostic factors of pediatric patients with AML relapse, a retrospective cohort study was performed to collect data from children and adolescents, at a hematological oncology reference center, over 11 years. We selected 51 cases of the disease, diagnosed and treated uniformly, divided into two groups: with complete remission (n = 33; 65 %) and with relapse (n = 18; 35 %). The groups were homogeneous concerning demographic characteristics and hematological parameters at diagnosis. AML M3 was the most common subtype (n = 19; 37 %) and was associated with a good prognosis. The highest rate of relapse was with AML M0 (n = 3 of 5 patients; 60 %). The most predominant gene mutation, FLT3-ITD, did not influence the prognosis in our study. The complete remission group presented a higher mean frequency of positive cells for the granulocytic marker CD13a at diagnosis. In cases with AML relapse, CD36, CD4, CD7, and CD22 were the most expressed markers. Increase incidence of recurrence was associated with CD7 (HR 1.035; p = 0.003), CD4 (HR 1.032, p = 0.001) and CD22 (HR 1.042; p = 0.049). Our results highlight the importance of analyzing immunophenotypic markers to help predict the outcome of AML in children and adolescents.
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Affiliation(s)
- Rosméri Elaine Essy Hoch
- Laboratory of Clinical and Experimental Immunology, Healthy and Life Science School Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; Hematology-Oncology Unit, University Hospital of Santa Maria, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil
| | - Virgínia Maria Cóser
- Hematology-Oncology Unit, University Hospital of Santa Maria, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil
| | - Iná S Santos
- Post-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil; Post-Graduate Program in Pediatrics and Child Health, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Ana Paula Duarte de Souza
- Laboratory of Clinical and Experimental Immunology, Healthy and Life Science School Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
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Kantarjian HM, Kadia TM, DiNardo CD, Welch MA, Ravandi F. Acute myeloid leukemia: Treatment and research outlook for 2021 and the MD Anderson approach. Cancer 2021; 127:1186-1207. [PMID: 33734442 DOI: 10.1002/cncr.33477] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/31/2020] [Accepted: 01/11/2021] [Indexed: 12/17/2022]
Abstract
The unraveling of the pathophysiology of acute myeloid leukemia (AML) has resulted in rapid translation of the information into clinical practice. After more than 40 years of slow progress in AML research, the US Food and Drug Administration has approved nine agents for different AML treatment indications since 2017. In this review, we detail the progress that has been made in the research and treatment of AML, citing key publications related to AML research and therapy in the English literature since 2000. The notable subsets of AML include acute promyelocytic leukemia (APL), core-binding factor AML (CBF-AML), AML in younger patients fit for intensive chemotherapy, and AML in older/unfit patients (usually at the age cutoff of 60-70 years). We also consider within each subset whether the AML is primary or secondary (therapy-related, evolving from untreated or treated myelodysplastic syndrome or myeloproliferative neoplasm). In APL, therapy with all-trans retinoic acid and arsenic trioxide results in estimated 10-year survival rates of ≥80%. Treatment of CBF-AML with fludarabine, high-dose cytarabine, and gemtuzumab ozogamicin (GO) results in estimated 10-year survival rates of ≥75%. In younger/fit patients, the "3+7" regimen (3 days of daunorubicin + 7 days of cytarabine) produces less favorable results (estimated 5-year survival rates of 35%; worse in real-world experience); regimens that incorporate high-dose cytarabine, adenosine nucleoside analogs, and GO are producing better results. Adding venetoclax, FLT3, and IDH inhibitors into these regimens has resulted in encouraging preliminary data. In older/unfit patients, low-intensity therapy with hypomethylating agents (HMAs) and venetoclax is now the new standard of care. Better low-intensity regimens incorporating cladribine, low-dose cytarabine, and other targeted therapies (FLT3 and IDH inhibitors) are emerging. Maintenance therapy now has a definite role in the treatment of AML, and oral HMAs with potential treatment benefits are also available. In conclusion, AML therapy is evolving rapidly and treatment results are improving in all AML subsets as novel agents and strategies are incorporated into traditional AML chemotherapy. LAY SUMMARY: Ongoing research in acute myeloid leukemia (AML) is progressing rapidly. Since 2017, the US Food and Drug Administration has approved 10 drugs for different AML indications. This review updates the research and treatment pathways for AML.
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Affiliation(s)
| | - Tapan M Kadia
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas
| | | | - Mary Alma Welch
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas
| | - Farhad Ravandi
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas
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Buccisano F, Palmieri R, Piciocchi A, Maurillo L, Del Principe MI, Paterno G, Soddu S, Cerretti R, De Angelis G, Mariotti B, Irno Consalvo MA, Conti C, Fraboni D, Divona M, Ottone T, Lavorgna S, Panetta P, Voso MT, Arcese W, Venditti A. Use of Measurable Residual Disease to Evolve Transplant Policy in Acute Myeloid Leukemia: A 20-Year Monocentric Observation. Cancers (Basel) 2021; 13:1083. [PMID: 33802502 PMCID: PMC7959451 DOI: 10.3390/cancers13051083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 02/11/2021] [Accepted: 02/24/2021] [Indexed: 12/20/2022] Open
Abstract
Measurable residual disease (MRD) is increasingly employed as a biomarker of quality of complete remission (CR) in intensively treated acute myeloid leukemia (AML) patients. We evaluated if a MRD-driven transplant policy improved outcome as compared to a policy solely relying on a familiar donor availability. High-risk patients (adverse karyotype, FLT3-ITD) received allogeneic hematopoietic cell transplant (alloHCT) whereas for intermediate and low risk ones (CBF-AML and NPM1-mutated), alloHCT or autologous SCT was delivered depending on the post-consolidation measurable residual disease (MRD) status, as assessed by flow cytometry. For comparison, we analyzed a matched historical cohort of patients in whom alloHCT was delivered based on the sole availability of a matched sibling donor. Ten-years overall and disease-free survival were longer in the MRD-driven cohort as compared to the historical cohort (47.7% vs. 28.7%, p = 0.012 and 42.0% vs. 19.5%, p = 0.0003). The favorable impact of this MRD-driven strategy was evident for the intermediate-risk category, particularly for MRD positive patients. In the low-risk category, the significantly lower CIR of the MRD-driven cohort did not translate into a survival advantage. In conclusion, a MRD-driven transplant allocation may play a better role than the one based on the simple donor availability. This approach determines a superior outcome of intermediate-risk patients whereat in low-risk ones a careful evaluation is needed for transplant allocation.
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Affiliation(s)
- Francesco Buccisano
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Raffaele Palmieri
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | | | - Luca Maurillo
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Maria Ilaria Del Principe
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Giovangiacinto Paterno
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Stefano Soddu
- Centro Dati Fondazione GIMEMA, 00100 Rome, Italy; (A.P.); (S.S.)
| | - Raffaella Cerretti
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
- Rome Transplant Network, Tor Vergata University Hospital, 00133 Rome, Italy
| | - Gottardo De Angelis
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
- Rome Transplant Network, Tor Vergata University Hospital, 00133 Rome, Italy
| | - Benedetta Mariotti
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
- Rome Transplant Network, Tor Vergata University Hospital, 00133 Rome, Italy
| | - Maria Antonietta Irno Consalvo
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Consuelo Conti
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Daniela Fraboni
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Mariadomenica Divona
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Tiziana Ottone
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Serena Lavorgna
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Paola Panetta
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - Maria Teresa Voso
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
| | - William Arcese
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
- Rome Transplant Network, Tor Vergata University Hospital, 00133 Rome, Italy
| | - Adriano Venditti
- Department of Biomedicine and Prevention, University Tor Vergata of Roma, 00133 Rome, Italy; (R.P.); (L.M.); (M.I.D.P.); (G.P.); (R.C.); (G.D.A.); (B.M.); (M.A.I.C.); (C.C.); (D.F.); (M.D.); (T.O.); (S.L.); (P.P.); (M.T.V.); (W.A.); (A.V.)
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Lim JK, Kuss B, Talaulikar D. Role of cell-free DNA in haematological malignancies. Pathology 2021; 53:416-426. [PMID: 33648721 DOI: 10.1016/j.pathol.2021.01.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 01/17/2021] [Indexed: 12/13/2022]
Abstract
Cell-free DNA (cfDNA) consists of fragments of double stranded DNA that are found in the circulation. They are released from the apoptosis of both normal haemopoietic cells and malignant cells. The use of cfDNA from easily accessible peripheral blood samples has created a new strategy in studying molecular genomics in haematological malignancies. Its use in diagnosis, prognosis and monitoring potentially precludes the need for repeated tissue samples, i.e., bone marrow biopsy or primary tissue biopsy. It also potentially provides a more comprehensive analysis of the disease as cfDNA are released from tumours from multiple sites of the body. While cfDNA research is still in its infancy, given its potential and the expansion in next generation sequencing (NGS) it has attracted a lot of attention in recent years. This review will focus on acute leukaemia, multiple myeloma and lymphoma and the potential diagnostic and prognostic implications of cfDNA, its role in response assessment and in detection of disease relapse.
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Affiliation(s)
- Jun K Lim
- Department of Haematology, The Canberra Hospital, Canberra, ACT, Australia
| | - Bryone Kuss
- Department of Molecular Medicine and Genetics, Flinders University/Flinders Medical Centre, SA Pathology Laboratories, Adelaide, SA, Australia
| | - Dipti Talaulikar
- Department of Haematology, The Canberra Hospital, Canberra, ACT, Australia; College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
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Kantarjian H, Kadia T, DiNardo C, Daver N, Borthakur G, Jabbour E, Garcia-Manero G, Konopleva M, Ravandi F. Acute myeloid leukemia: current progress and future directions. Blood Cancer J 2021; 11:41. [PMID: 33619261 PMCID: PMC7900255 DOI: 10.1038/s41408-021-00425-3] [Citation(s) in RCA: 336] [Impact Index Per Article: 112.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/14/2020] [Accepted: 01/18/2021] [Indexed: 12/12/2022] Open
Abstract
Progress in the understanding of the biology and therapy of acute myeloid leukemia (AML) is occurring rapidly. Since 2017, nine agents have been approved for various indications in AML. These included several targeted therapies like venetoclax, FLT3 inhibitors, IDH inhibitors, and others. The management of AML is complicated, highlighting the need for expertise in order to deliver optimal therapy and achieve optimal outcomes. The multiple subentities in AML require very different therapies. In this review, we summarize the important pathophysiologies driving AML, review current therapies in standard practice, and address present and future research directions.
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Affiliation(s)
- Hagop Kantarjian
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA.
| | - Tapan Kadia
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Courtney DiNardo
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Naval Daver
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Gautam Borthakur
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Elias Jabbour
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | | | - Marina Konopleva
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
| | - Farhad Ravandi
- Department of Leukemia, MD Anderson Cancer Center, Houston, TX, USA
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41
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Descriptive and Functional Genomics in Acute Myeloid Leukemia (AML): Paving the Road for a Cure. Cancers (Basel) 2021; 13:cancers13040748. [PMID: 33670178 PMCID: PMC7916915 DOI: 10.3390/cancers13040748] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/24/2021] [Accepted: 02/01/2021] [Indexed: 12/18/2022] Open
Abstract
Over the past decades, genetic advances have allowed a more precise molecular characterization of AML with the identification of novel oncogenes and tumor suppressors as part of a comprehensive AML molecular landscape. Recent advances in genetic sequencing tools also enabled a better understanding of AML leukemogenesis from the preleukemic state to posttherapy relapse. These advances resulted in direct clinical implications with the definition of molecular prognosis classifications, the development of treatment recommendations based on minimal residual disease (MRD) measurement and the discovery of novel targeted therapies, ultimately improving AML patients' overall survival. The more recent development of functional genomic studies, pushed by novel molecular biology technologies (short hairpin RNA (shRNA) and CRISPR-Cas9) and bioinformatics tools design on one hand, along with the engineering of humanized physiologically relevant animal models on the other hand, have opened a new genomics era resulting in a greater knowledge of AML physiopathology. Combining descriptive and functional genomics will undoubtedly open the road for an AML cure within the next decades.
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Vial JP, Lechevalier N, Lacombe F, Dumas PY, Bidet A, Leguay T, Vergez F, Pigneux A, Béné MC. Unsupervised Flow Cytometry Analysis Allows for an Accurate Identification of Minimal Residual Disease Assessment in Acute Myeloid Leukemia. Cancers (Basel) 2021; 13:629. [PMID: 33562525 PMCID: PMC7914957 DOI: 10.3390/cancers13040629] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/01/2021] [Accepted: 02/02/2021] [Indexed: 11/16/2022] Open
Abstract
The assessment of minimal residual disease (MRD) is increasingly considered to monitor response to therapy in hematological malignancies. In acute myeloblastic leukemia (AML), molecular MRD (mMRD) is possible for about half the patients while multiparameter flow cytometry (MFC) is more broadly available. However, MFC analysis strategies are highly operator-dependent. Recently, new tools have been designed for unsupervised MFC analysis, segregating cell-clusters with the same immunophenotypic characteristics. Here, the Flow-Self-Organizing-Maps (FlowSOM) tool was applied to assess MFC-MRD in 96 bone marrow (BM) follow-up (FU) time-points from 40 AML patients with available mMRD. A reference FlowSOM display was built from 19 healthy/normal BM samples (NBM), then simultaneously compared to the patient's diagnosis and FU samples at each time-point. MRD clusters were characterized individually in terms of cell numbers and immunophenotype. This strategy disclosed subclones with varying immunophenotype within single diagnosis and FU samples including populations absent from NBM. Detectable MRD was as low as 0.09% in MFC and 0.051% for mMRD. The concordance between mMRD and MFC-MRD was 80.2%. MFC yielded 85% specificity and 69% sensitivity compared to mMRD. Unsupervised MFC is shown here to allow for an easy and robust assessment of MRD, applicable also to AML patients without molecular markers.
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Affiliation(s)
- Jean Philippe Vial
- Hematology Biology, Flow Cytometry, Bordeaux University Hospital, 33600 Pessac, France; (J.P.V.); (N.L.); (F.L.)
| | - Nicolas Lechevalier
- Hematology Biology, Flow Cytometry, Bordeaux University Hospital, 33600 Pessac, France; (J.P.V.); (N.L.); (F.L.)
| | - Francis Lacombe
- Hematology Biology, Flow Cytometry, Bordeaux University Hospital, 33600 Pessac, France; (J.P.V.); (N.L.); (F.L.)
| | - Pierre-Yves Dumas
- Service d’Hématologie Clinique et de Thérapie Cellulaire, Bordeaux University Hospital, 33600 Pessac, France; (P.-Y.D.); (T.L.); (A.P.)
| | - Audrey Bidet
- Hematology Biology, Molecular Hematology, Bordeaux University Hospital, 33600 Pessac, France;
| | - Thibaut Leguay
- Service d’Hématologie Clinique et de Thérapie Cellulaire, Bordeaux University Hospital, 33600 Pessac, France; (P.-Y.D.); (T.L.); (A.P.)
| | - François Vergez
- Hematology Biology, IUCT Oncopôle, Toulouse University Hospital, 31000 Toulouse, France;
| | - Arnaud Pigneux
- Service d’Hématologie Clinique et de Thérapie Cellulaire, Bordeaux University Hospital, 33600 Pessac, France; (P.-Y.D.); (T.L.); (A.P.)
| | - Marie C. Béné
- Hematology Biology, Nantes University Hospital, 44000 Nantes, France
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Carlsen ED, Aggarwal N, Bailey NG. Molecular methods for measurable residual disease in acute myeloid leukemia: where are we and where are we going? J Hematop 2021. [DOI: 10.1007/s12308-020-00440-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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Kapp-Schwoerer S, Weber D, Corbacioglu A, Gaidzik VI, Paschka P, Krönke J, Theis F, Rücker FG, Teleanu MV, Panina E, Jahn N, Herzig J, Kubanek L, Schrade A, Göhring G, Fiedler W, Kindler T, Schroeder T, Mayer KT, Lübbert M, Wattad M, Götze KS, Horst HA, Koller E, Wulf G, Schleicher J, Bentz M, Krauter J, Bullinger L, Krzykalla J, Benner A, Schlenk RF, Thol F, Heuser M, Ganser A, Döhner H, Döhner K. Impact of gemtuzumab ozogamicin on MRD and relapse risk in patients with NPM1-mutated AML: results from the AMLSG 09-09 trial. Blood 2020; 136:3041-3050. [PMID: 33367545 DOI: 10.1182/blood.2020005998] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 07/19/2020] [Indexed: 01/07/2023] Open
Abstract
Monitoring of measurable residual disease (MRD) provides prognostic information in patients with Nucleophosmin1-mutated (NPM1mut) acute myeloid leukemia (AML) and represents a powerful tool to evaluate treatment effects within clinical trials. We determined NPM1mut transcript levels (TLs) by quantitative reverse-transcription polymerase chain reaction and evaluated the prognostic impact of NPM1mut MRD and the effect of gemtuzumab ozogamicin (GO) on NPM1mut TLs and the cumulative incidence of relapse (CIR) in patients with NPM1mut AML enrolled in the randomized phase 3 AMLSG 09-09 trial. A total of 3733 bone marrow (BM) samples and 3793 peripheral blood (PB) samples from 469 patients were analyzed. NPM1mut TL log10 reduction ≥ 3 and achievement of MRD negativity in BM and PB were significantly associated with a lower CIR rate, after 2 treatment cycles and at end of treatment (EOT). In multivariate analyses, MRD positivity was consistently revealed to be a poor prognostic factor in BM and PB. With regard to treatment effect, the median NPM1mut TLs were significantly lower in the GO-Arm across all treatment cycles, resulting in a significantly greater proportion of patients achieving MRD negativity at EOT (56% vs 41%; P = .01). The better reduction in NPM1mut TLs after 2 treatment cycles in MRD positive patients by the addition of GO led to a significantly lower CIR rate (4-year CIR, 29.3% vs 45.7%, P = .009). In conclusion, the addition of GO to intensive chemotherapy in NPM1mut AML resulted in a significantly better reduction in NPM1mut TLs across all treatment cycles, leading to a significantly lower relapse rate.
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Affiliation(s)
| | - Daniela Weber
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Andrea Corbacioglu
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Verena I Gaidzik
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Peter Paschka
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Jan Krönke
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Frauke Theis
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Frank G Rücker
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | | | - Ekaterina Panina
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Nikolaus Jahn
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Julia Herzig
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Lena Kubanek
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Anika Schrade
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Gudrun Göhring
- Department of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Walter Fiedler
- Hubertus Wald University Cancer Center, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas Kindler
- Department of Hematology, Medical Oncology, and Pneumology, University Cancer Center Mainz, Mainz, Germany
| | - Thomas Schroeder
- Department of Hematology, Oncology, and Clinical Immunology, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Karin T Mayer
- Department of Hematology and Oncology, University Hospital Bonn, Bonn, Germany
| | - Michael Lübbert
- Department of Medicine I, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Mohammed Wattad
- Department of Hematology, Oncology and Stem Cell Transplantation, Kliniken Essen Süd, Essen, Germany
| | - Katharina S Götze
- III. Department of Medicine, Hematology, and Medical Oncology, Technical University of Munich, Munich, Germany
| | - Heinz A Horst
- Department of Internal Medicine II, University Hospital Schleswig Holstein, Campus Kiel, Kiel, Germany
| | - Elisabeth Koller
- III. Department of Medicine, Hematology, and Medical Oncology, Hanuschkrankenhaus Wien, Vienna, Austria
| | - Gerald Wulf
- Department of Hematology and Oncology, Georg-August-University Göttingen, Göttingen, Germany
| | - Jan Schleicher
- Department of Hematology and Oncology, Katharinenhospital Stuttgart, Stuttgart, Germany
| | - Martin Bentz
- Department of Internal Medicine III, Municipal Hospital of Karlsruhe, Karlsruhe, Germany
| | - Jürgen Krauter
- Department of Internal Medicine III, Municipal Hospital of Braunschweig, Braunschweig, Germany
| | - Lars Bullinger
- Department of Hematology, Oncology, and Tumorimmunology, Charité University Medicine Berlin, Campus Virchow Klinikum, Berlin, Germany
| | - Julia Krzykalla
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
| | - Axel Benner
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
| | - Richard F Schlenk
- Nationales Centrum für Tumorerkrankungen Trial Center, National Center of Tumor Diseases, German Cancer Research Center, Heidelberg, Germany
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany; and
| | - Felicitas Thol
- Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Michael Heuser
- Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Arnold Ganser
- Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Hartmut Döhner
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Konstanze Döhner
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
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Valkova V, Vydra J, Markova M, Cerovska E, Vrana M, Marinov I, Cechova H, Cetkovsky P, Vitek A, Salek C. WT1 Gene Expression in Peripheral Blood Before and After Allogeneic Stem Cell Transplantation is a Clinically Relevant Prognostic Marker in AML - A Single-center 14-year Experience. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2020; 21:e145-e151. [PMID: 33160932 DOI: 10.1016/j.clml.2020.09.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/17/2020] [Accepted: 09/23/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND This work summarizes our experience with WT1 monitoring before and after allogeneic hematopoietic stem cell transplantation (allo-HSCT). PATIENTS AND METHODS The expression of WT1 gene was measured by real-time polymerase chain reaction in peripheral blood according to the European Leukemia Net recommendations. Between May 2005 and August 2019, we analyzed 147 consecutive patients with acute myeloid leukemia with high WT1 expression at diagnosis, transplanted in first (CR1) or second (CR2) complete remission. RESULTS At the time of allo-HSCT, 107 patients had WT1-normal expression (WT1 ≤ 50 copies), and 40 patients had WT1-high expression. The median follow-up was 21 months. The estimated 5-year overall survival and event-free survival was significantly better in the WT1-normal cohort (65% and 57% vs. 37% and 25%; P = .0003 and P < .0001, respectively) and 5-year cumulative incidence of relapse was significantly lower in the WT1-normal group (19% vs. 53%; P < .0001). Five-year non-relapse mortality was not significantly different (20% and 23%). Multivariate analysis revealed WT1-high expression and acute graft-versus-host disease grade 3/4 as significantly negative prognostic factors for OS. Overall, 49 patients developed WT1 molecular relapse in the post-transplant period; in 14 cases, the therapeutic intervention was done. In all but 1 relapsed patient where WT1 minimal residual disease (MRD) was monitored (38 patients), we detected WT1-high levels (sensitivity of 97%). CONCLUSION The results of the analysis confirmed our previous experience that WT1 status before allo-HSCT is a strong prognostic factor for both OS and relapse risk. In addition, we confirmed the usefulness of this marker for MRD monitoring after allo-HSCT. The main advantage is the possibility of frequent MRD monitoring in peripheral blood and early bone marrow examination based on WT1-high expression.
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MESH Headings
- Adult
- Aged
- Biomarkers, Tumor/blood
- Biomarkers, Tumor/metabolism
- Disease-Free Survival
- Feasibility Studies
- Female
- Follow-Up Studies
- Gene Expression Profiling
- Gene Expression Regulation, Leukemic
- Graft vs Host Disease/diagnosis
- Graft vs Host Disease/epidemiology
- Hematopoietic Stem Cell Transplantation/adverse effects
- Humans
- Incidence
- Leukemia, Myeloid, Acute/blood
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/mortality
- Leukemia, Myeloid, Acute/therapy
- Male
- Middle Aged
- Neoplasm Recurrence, Local/epidemiology
- Neoplasm Recurrence, Local/genetics
- Neoplasm, Residual
- Prognosis
- Risk Assessment/methods
- Risk Factors
- Severity of Illness Index
- WT1 Proteins/blood
- WT1 Proteins/metabolism
- Young Adult
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Affiliation(s)
- Veronika Valkova
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic; Institute of Clinical and Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Jan Vydra
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic; Institute of Clinical and Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Marketa Markova
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic; Institute of Clinical and Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Ela Cerovska
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Milena Vrana
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Iuri Marinov
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic; Institute of Clinical and Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Hana Cechova
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Petr Cetkovsky
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic; Institute of Clinical and Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Antonin Vitek
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic; Institute of Clinical and Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Cyril Salek
- Department of Bone Marrow Transplant, Institute of Hematology and Blood Transfusion, Prague, Czech Republic; Institute of Clinical and Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
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46
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Haferlach T. Advancing leukemia diagnostics: Role of Next Generation Sequencing (NGS) in acute myeloid leukemia. Hematol Rep 2020; 12:8957. [PMID: 33042506 PMCID: PMC7520852 DOI: 10.4081/hr.2020.8957] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Indexed: 02/08/2023] Open
Abstract
AML diagnostics, initially based solely on morphological evaluation, now relies on multiple disciplines to reach its full potential. Only by integrating the results of cytomorphology, cytochemistry, immunophenotyping, cytogenetics and molecular genetics it is possible to fulfil WHO classification and ELN prognostication systems. Especially molecular genetics has gained a lot of interest over the last decade, mainly through the introduction of next generation sequencing (NGS). NGS application ranges from the investigation of single genes and panels to even whole exomes, transcriptomes and genomes. In routine AML diagnostics panels are the preferred NGS methodology. Here, we will review the power and limitations of NGS in the context of diagnosis, prognosis and precision medicine. Due to high dimensionality, NGS data interpretation is challenging but it also offers a unique investigatory chance and the opportunity to apply data mining techniques such as artificial intelligence. We will also reflect on how the incorporation of the improved knowledge base into routine diagnostics can pave the way for better treatment and more cure in AML.
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47
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Bewersdorf JP, Shallis RM, Boddu PC, Wood B, Radich J, Halene S, Zeidan AM. The minimal that kills: Why defining and targeting measurable residual disease is the “Sine Qua Non” for further progress in management of acute myeloid leukemia. Blood Rev 2020; 43:100650. [DOI: 10.1016/j.blre.2019.100650] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 12/04/2019] [Accepted: 12/13/2019] [Indexed: 12/13/2022]
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48
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de Boer EN, Johansson LF, de Lange K, Bosga-Brouwer AG, van den Berg E, Sikkema-Raddatz B, van Diemen CC. Detection of Fusion Genes to Determine Minimal Residual Disease in Leukemia Using Next-Generation Sequencing. Clin Chem 2020; 66:1084-1092. [DOI: 10.1093/clinchem/hvaa119] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 04/22/2020] [Indexed: 01/22/2023]
Abstract
Abstract
Background
Measuring minimal residual disease (MRD), the persistence of leukemic cells after treatment, is important for monitoring leukemia recurrence. The current methods for monitoring MRD are flow cytometry, to assess aberrant immune phenotypes, and digital droplet PCR (ddPCR), to target genetic aberrations such as single-nucleotide variants and gene fusions. We present the performance of an RNA-based next-generation sequencing (NGS) method for MRD gene fusion detection compared with ddPCR. This method may have advantages, including the capacity to analyze different genetic aberrations and patients in 1 experiment. In particular, detection at the RNA level may be highly sensitive if the genetic aberration is highly expressed.
Methods
We designed a probe-based NGS panel targeting the breakpoints of 11 fusion genes previously identified in clinical patients and 2 fusion genes present in cell lines. Blocking probes were added to prevent nonspecific enrichment. Each patient RNA sample was diluted in background RNA, depleted for rRNA and globin mRNA, converted to cDNA, and prepared for sequencing. Unique sequence reads, identified by unique molecular identifiers, were aligned directly to reference transcripts. The same patient and cell-line samples were also analyzed with ddPCR for direct comparison.
Results
Our NGS method reached a maximum sensitivity of 1 aberrant cell in 10 000 cells and was mostly within a factor of 10 compared with ddPCR.
Conclusions
Our detection limit was below the threshold of 1:1000 recommended by European Leukemia Net. Further optimizations are easy to implement and are expected to boost the sensitivity of our method to diagnostically obtained ddPCR thresholds.
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Affiliation(s)
- Eddy N de Boer
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Lennart F Johansson
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Kim de Lange
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Anneke G Bosga-Brouwer
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Eva van den Berg
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Birgit Sikkema-Raddatz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Cleo C van Diemen
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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49
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Nucleophosmin 1 Mutations in Acute Myeloid Leukemia. Genes (Basel) 2020; 11:genes11060649. [PMID: 32545659 PMCID: PMC7348733 DOI: 10.3390/genes11060649] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 06/06/2020] [Accepted: 06/09/2020] [Indexed: 12/16/2022] Open
Abstract
Nucleophosmin (NPM1) is a ubiquitously expressed nucleolar protein involved in ribosome biogenesis, the maintenance of genomic integrity and the regulation of the ARF-p53 tumor-suppressor pathway among multiple other functions. Mutations in the corresponding gene cause a cytoplasmic dislocation of the NPM1 protein. These mutations are unique to acute myeloid leukemia (AML), a disease characterized by clonal expansion, impaired differentiation and the proliferation of myeloid cells in the bone marrow. Despite our improved understanding of NPM1 mutations and their consequences, the underlying leukemia pathogenesis is still unclear. Recent studies that focused on dysregulated gene expression in AML with mutated NPM1 have shed more light into these mechanisms. In this article, we review the current evidence on normal functions of NPM1 and aberrant functioning in AML, and highlight investigational strategies targeting these mutations.
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50
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Pettersson L, Chen Y, George AM, Rigo R, Lazarevic V, Juliusson G, Saal LH, Ehinger M. Subclonal patterns in follow-up of acute myeloid leukemia combining whole exome sequencing and ultrasensitive IBSAFE digital droplet analysis. Leuk Lymphoma 2020; 61:2168-2179. [PMID: 32425124 DOI: 10.1080/10428194.2020.1755855] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
We studied mutation kinetics in ten relapsing and four non-relapsing patients with acute myeloid leukemia by whole exome sequencing at diagnosis to identify leukemia-specific mutations and monitored selected mutations at multiple time-points using IBSAFE droplet digital PCR. Five to nine selected mutations could identify and track leukemic clones prior to clinical relapse in 10/10 patients at the time-points where measurable residual disease was negative by multicolor flow cytometry. In the non-relapsing patients, the load of mutations gradually declined in response to different therapeutic strategies. Three distinct patterns of relapse were observed: (1) one or more different clones with all monitored mutations reappearing at relapse; (2) one or more separate clones of which one prevailed at relapse; and (3) persistent clonal hematopoiesis with high variant allele frequency and most mutations present at relapse. These pilot results demonstrate that IBSAFE analyses detect leukemic clones missed by flow cytometry with possible clinical implications.HighlightsThe IBSAFE ddPCR MRD method seems applicable on virtually all newly diagnosed AML patients and was more sensitive than flow cytometry.Monitoring a few mutations captured the kinetics of the evolving recurrent leukemia.NPM1-mutation alone may not be a reliable MRD-marker.
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Affiliation(s)
- Louise Pettersson
- Department of Pathology, Halland Hospital Halmstad, Region Halland, Halmstad, Sweden.,Department of Clinical Sciences, Division of Pathology, Lund University, Skane University Hospital, Lund, Sweden
| | - Yilun Chen
- Department of Clinical Sciences, Division of Oncology, Faculty of Medicine, Lund University, Lund, Sweden
| | - Anthony M George
- Department of Clinical Sciences, Division of Oncology, Faculty of Medicine, Lund University, Lund, Sweden
| | - Robert Rigo
- Department of Clinical Sciences, Division of Oncology, Faculty of Medicine, Lund University, Lund, Sweden
| | - Vladimir Lazarevic
- Department of Hematology, Oncology and Radiation Physics, Lund University, Skane University Hospital, Lund, Sweden
| | - Gunnar Juliusson
- Department of Hematology, Oncology and Radiation Physics, Lund University, Skane University Hospital, Lund, Sweden.,Department of Laboratory Medicine, Stem Cell Center, Lund University, Skane University Hospital, Lund, Sweden
| | - Lao H Saal
- Department of Clinical Sciences, Division of Oncology, Faculty of Medicine, Lund University, Lund, Sweden.,Lund University Cancer Center, Medicon Village, Lund, Sweden
| | - Mats Ehinger
- Department of Clinical Sciences, Division of Pathology, Lund University, Skane University Hospital, Lund, Sweden
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