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Saygin C, Zhang P, Stauber J, Aldoss I, Sperling AS, Weeks LD, Luskin MR, Knepper TC, Wanjari P, Wang P, Lager AM, Fitzpatrick C, Segal JP, Gharghabi M, Gurbuxani S, Venkataraman G, Cheng JX, Eisfelder BJ, Bohorquez O, Patel AA, Umesh Nagalakshmi S, Jayaram S, Odenike OM, Larson RA, Godley LA, Arber DA, Gibson CJ, Munshi NC, Marcucci G, Ebert BL, Greally JM, Steidl U, Lapalombella R, Shah BD, Stock W. Acute Lymphoblastic Leukemia with Myeloid Mutations Is a High-Risk Disease Associated with Clonal Hematopoiesis. Blood Cancer Discov 2024; 5:164-179. [PMID: 38150184 PMCID: PMC11061587 DOI: 10.1158/2643-3230.bcd-23-0106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 10/05/2023] [Accepted: 12/19/2023] [Indexed: 12/28/2023] Open
Abstract
Myeloid neoplasms arise from preexisting clonal hematopoiesis (CH); however, the role of CH in the pathogenesis of acute lymphoblastic leukemia (ALL) is unknown. We found that 18% of adult ALL cases harbored TP53, and 16% had myeloid CH-associated gene mutations. ALL with myeloid mutations (MyM) had distinct genetic and clinical characteristics, associated with inferior survival. By using single-cell proteogenomic analysis, we demonstrated that myeloid mutations were present years before the diagnosis of ALL, and a subset of these clones expanded over time to manifest as dominant clones in ALL. Single-cell RNA sequencing revealed upregulation of genes associated with cell survival and resistance to apoptosis in B-ALL with MyM, which responds better to newer immunotherapeutic approaches. These findings define ALL with MyM as a high-risk disease that can arise from antecedent CH and offer new mechanistic insights to develop better therapeutic and preventative strategies. SIGNIFICANCE CH is a precursor lesion for lymphoblastic leukemogenesis. ALL with MyM has distinct genetic and clinical characteristics, associated with adverse survival outcomes after chemotherapy. CH can precede ALL years before diagnosis, and ALL with MyM is enriched with activated T cells that respond to immunotherapies such as blinatumomab. See related commentary by Iacobucci, p. 142.
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Affiliation(s)
- Caner Saygin
- Section of Hematology/Oncology, University of Chicago, Chicago, Illinois
| | - Pu Zhang
- Division of Hematology, The Ohio State University, Columbus, Ohio
| | - Jacob Stauber
- Albert Einstein College of Medicine–Montefiore Health System, New York, New York
| | - Ibrahim Aldoss
- Department of Hematology and Hematopoietic Cell Transplantation, City of Hope, Duarte, California
| | - Adam S. Sperling
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Division of Hematology, Brigham and Women's Hospital, Boston, Massachusetts
| | | | | | | | - Pankhuri Wanjari
- Department of Pathology, University of Chicago, Chicago, Illinois
| | - Peng Wang
- Department of Pathology, University of Chicago, Chicago, Illinois
| | - Angela M. Lager
- Department of Pathology, University of Chicago, Chicago, Illinois
| | | | - Jeremy P. Segal
- Department of Pathology, University of Chicago, Chicago, Illinois
| | - Mehdi Gharghabi
- Division of Hematology, The Ohio State University, Columbus, Ohio
| | | | | | - Jason X. Cheng
- Department of Pathology, University of Chicago, Chicago, Illinois
| | - Bart J. Eisfelder
- Section of Hematology/Oncology, University of Chicago, Chicago, Illinois
| | - Oliver Bohorquez
- Albert Einstein College of Medicine–Montefiore Health System, New York, New York
| | - Anand A. Patel
- Section of Hematology/Oncology, University of Chicago, Chicago, Illinois
| | | | | | | | - Richard A. Larson
- Section of Hematology/Oncology, University of Chicago, Chicago, Illinois
| | - Lucy A. Godley
- Section of Hematology/Oncology, University of Chicago, Chicago, Illinois
| | - Daniel A. Arber
- Department of Pathology, University of Chicago, Chicago, Illinois
| | | | | | - Guido Marcucci
- Department of Hematology and Hematopoietic Cell Transplantation, City of Hope, Duarte, California
| | | | - John M. Greally
- Albert Einstein College of Medicine–Montefiore Health System, New York, New York
| | - Ulrich Steidl
- Albert Einstein College of Medicine–Montefiore Health System, New York, New York
| | | | | | - Wendy Stock
- Section of Hematology/Oncology, University of Chicago, Chicago, Illinois
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Hermans SJF, van Norden Y, Versluis J, Rijneveld AW, van der Holt B, de Weerdt O, Biemond BJ, van de Loosdrecht AA, van der Wagen LE, Bellido M, van Gelder M, van der Velden WJFM, Selleslag D, van Lammeren‐Venema D, van der Velden VHJ, de Wreede LC, Postmus D, Pignatti F, Cornelissen JJ. Benefits and risks of clofarabine in adult acute lymphoblastic leukemia investigated in depth by multi-state modeling. Cancer Med 2024; 13:e6756. [PMID: 38680089 PMCID: PMC11056700 DOI: 10.1002/cam4.6756] [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: 08/04/2023] [Revised: 10/13/2023] [Accepted: 11/15/2023] [Indexed: 05/01/2024] Open
Abstract
BACKGROUND We recently reported results of the prospective, open-label HOVON-100 trial in 334 adult patients with acute lymphoblastic leukemia (ALL) randomized to first-line treatment with or without clofarabine (CLO). No improvement of event-free survival (EFS) was observed, while a higher proportion of patients receiving CLO obtained minimal residual disease (MRD) negativity. AIM In order to investigate the effects of CLO in more depth, two multi-state models were developed to identify why CLO did not show a long-term survival benefit despite more MRD-negativity. METHODS The first model evaluated the effect of CLO on going off-protocol (not due to refractory disease/relapse, completion or death) as a proxy of severe treatment-related toxicity, while the second model evaluated the effect of CLO on obtaining MRD negativity. The subsequent impact of these intermediate events on death or relapsed/refractory disease was assessed in both models. RESULTS Overall, patients receiving CLO went off-protocol more frequently than control patients (35/168 [21%] vs. 18/166 [11%], p = 0.019; HR 2.00 [1.13-3.52], p = 0.02), especially during maintenance (13/44 [30%] vs. 6/56 [11%]; HR 2.85 [95%CI 1.08-7.50], p = 0.035). Going off-protocol was, however, not associated with more relapse or death. Patients in the CLO arm showed a trend towards an increased rate of MRD-negativity compared with control patients (HR MRD-negativity: 1.35 [0.95-1.91], p = 0.10), which did not translate into a significant survival benefit. CONCLUSION We conclude that the intermediate states, i.e., going off-protocol and MRD-negativity, were affected by adding CLO, but these transitions were not associated with subsequent survival estimates, suggesting relatively modest antileukemic activity in ALL.
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Affiliation(s)
| | - Yvette van Norden
- Erasmus University Medical Center Cancer InstituteRotterdamThe Netherlands
- HOVON FoundationRotterdamThe Netherlands
| | - Jurjen Versluis
- Erasmus University Medical Center Cancer InstituteRotterdamThe Netherlands
| | - Anita W. Rijneveld
- Erasmus University Medical Center Cancer InstituteRotterdamThe Netherlands
| | | | - Okke de Weerdt
- Department of HematologySint Antonius HospitalNieuwegeinThe Netherlands
| | - Bart J. Biemond
- Department of HematologyAmsterdam University Medical Centers, Amsterdam Medical CenterAmsterdamThe Netherlands
| | - Arjan A. van de Loosdrecht
- Department of HematologyCancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit University Medical CenterAmsterdamThe Netherlands
| | | | - Mar Bellido
- Department of HematologyUniversity Medical Center GroningenGroningenThe Netherlands
| | - Michel van Gelder
- Department of HematologyMaastricht University Medical CenterMaastrichtThe Netherlands
| | | | | | | | | | - Liesbeth C. de Wreede
- Department of Biomedical Data SciencesLeiden University Medical CenterLeidenThe Netherlands
| | - Douwe Postmus
- Department of EpidemiologyUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Francesco Pignatti
- Oncology and Hematology OfficeEuropean Medicines AgencyAmsterdamThe Netherlands
| | - Jan J. Cornelissen
- Erasmus University Medical Center Cancer InstituteRotterdamThe Netherlands
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Dekker SE, Rea D, Cayuela JM, Arnhardt I, Leonard J, Heuser M. Using Measurable Residual Disease to Optimize Management of AML, ALL, and Chronic Myeloid Leukemia. Am Soc Clin Oncol Educ Book 2023; 43:e390010. [PMID: 37311155 DOI: 10.1200/edbk_390010] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In this review, we discuss the use of measurable residual disease (MRD) in AML, ALL, and chronic myeloid leukemia (CML). Our aims were to review the different methodologies for MRD assessment; describe the clinical relevance and medical decision making on the basis of MRD; compare and contrast the usage of MRD across AML, ALL, and CML; and discuss what patients need to know about MRD as it relates to their disease status and treatment. Finally, we discuss ongoing challenges and future directions with the goal of optimizing MRD usage in leukemia management.
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Affiliation(s)
- Simone E Dekker
- Department of Medicine, Oregon Health & Science University, Portland, OR
| | - Delphine Rea
- France Intergroupe des Leucémies Myéloïdes chroniques FiLMC, Hôpital Saint-Louis APHP, Paris, France
- Service d'Hématologie Adulte, Hôpital Saint-Louis APHP, Paris, France
| | - Jean-Michel Cayuela
- France Intergroupe des Leucémies Myéloïdes chroniques FiLMC, Hôpital Saint-Louis APHP, Paris, France
- Laboratoire de Biologie Moléculaire, Hôpital Saint-Louis APHP, Paris, France
| | - Isabell Arnhardt
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Jessica Leonard
- Division of Hematology-Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Michael Heuser
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
- Comprehensive Cancer Center Lower Saxony, Hannover, Germany
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Zhu XF. [Optimized treatment of childhood B-lineage acute lymphoblastic leukemia]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2023; 25:344-349. [PMID: 37073837 PMCID: PMC10120335 DOI: 10.7499/j.issn.1008-8830.2211041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 03/01/2023] [Indexed: 04/20/2023]
Abstract
Childhood acute lymphoblastic leukemia (ALL) accounts for about 75% of childhood leukemia cases, and B-lineage acute lymphoblastic leukemia (B-ALL) accounts for more than 80% of childhood ALL cases. Over the past half century, new molecular biological targets discovered by new techniques have been used in precise stratification of disease prognosis, and there has been a gradual increase in the 5-year overall survival rate of childhood ALL. With the increasing attention to long-term quality of life, the treatment of childhood B-ALL has been constantly optimized from induction therapy to the intensity of maintenance therapy, including the treatment of extramedullary leukemia without radiotherapy, which has been tried with successful results. The realization of optimized treatment also benefits from the development of new techniques associated with immunology and molecular biology and the establishment of standardized clinical cohorts and corresponding biobanks. This article summarizes the relevant research on the implementation of precise stratification and the intensity reduction and optimization treatment of B-ALL in recent years, providing reference for clinicians.
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Affiliation(s)
- Xiao-Fan Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, Tianjin 300020, China
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Liu X, Zou Y, Zhang L, Zhang Y, Chen Y, Chen X, Guo Y, Yang W, Zhu X. Characteristics and prognosis of children with recurrent T-cell acute lymphoblastic leukemia: a long-term follow-up report in China. Leuk Lymphoma 2022; 63:3462-3474. [PMID: 36107030 DOI: 10.1080/10428194.2022.2123224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
This study assessed the relapse characteristics and prognosis of 145 children newly diagnosed with T-cell acute lymphoblastic leukemia (T-ALL). The overall complete response (CR) rate was 91.7% (133/145), and the overall recurrence rate was 31.6% (42/133). The recurrence rate in the intermediate-risk (IR) group and high-risk (HR) group was 15.4% and 47.1%, respectively (p < 0.001). Patients with young age, early T-cell precursor ALL, central nervous system (CNS) involvement, TCRγ gene rearrangement, karyotypic abnormalities, or absence of TCRβ gene rearrangement (p < 0.05) tended to relapse. All recurrences occurred within 36 months after diagnosis. The HR group recurred earlier than the IR group (p= 0.026). The 3-year overall survival (OS) rate was significantly lower in the HR group than in the IR group (p < 0.001). All relapsed children died within 12 months after recurrence. Early intervention may benefit children with a high risk of recurrence.
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Affiliation(s)
- Xiaoming 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, PR China
| | - Yao Zou
- 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, PR 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, PR China
| | - Yingchi 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, PR China
| | - Yumei 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, PR China
| | - Xiaojuan 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, PR China
| | - Ye Guo
- 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, PR China
| | - Wenyu Yang
- 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, PR 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, PR China
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Dekker SE, Leonard J, Muffly L. SOHO State of the Art Updates and Next Questions: Measurable Residual Disease in Acute Lymphoblastic Leukemia - Optimization and Innovation in 2022 and Beyond. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2022; 22:878-882. [PMID: 36130863 DOI: 10.1016/j.clml.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 01/26/2023]
Abstract
Measurable residual disease (MRD) is an established component of acute lymphoblastic leukemia (ALL) management in both children and adults. Society guidelines and expert consensus documents include assessment of MRD as the standard of care following induction therapy, consolidation therapy, and at additional time points, depending on the treatment regimen administered. Further, the approval of blinatumomab for MRD+ B-ALL has advanced the concept of MRD response as a clinical endpoint in ALL. Although the utility of MRD in ALL has been well defined over the last decades, several questions remain. In this review we focus on areas of ongoing controversy and exploration in ALL MRD, including the following: (1) Does increasing the depth of MRD assessment add prognostic value? (2) Is there a role for ongoing MRD monitoring once patients achieve MRD response? (3) Can MRD assessment of the peripheral blood be substituted for bone marrow? (4) Should MRD assays be applied to the analysis of the central nervous system (CNS)? Ongoing studies should answer the majority of these questions in the coming years.
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Affiliation(s)
- Simone E Dekker
- Department of Medicine, Oregon Health and Science University, Portland, OR
| | - Jessica Leonard
- Division of Hematology-Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Lori Muffly
- Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University, Stanford, CA.
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Saygin C, Cannova J, Stock W, Muffly L. Measurable residual disease in acute lymphoblastic leukemia: methods and clinical context in adult patients. Haematologica 2022; 107:2783-2793. [PMID: 36453516 PMCID: PMC9713546 DOI: 10.3324/haematol.2022.280638] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Indexed: 12/04/2022] Open
Abstract
Measurable residual disease (MRD) is the most powerful independent predictor of risk of relapse and long-term survival in adults and children with acute lymphoblastic leukemia (ALL). For almost all patients with ALL there is a reliable method to evaluate MRD, which can be done using multi-color flow cytometry, quantitative polymerase chain reaction to detect specific fusion transcripts or immunoglobulin/T-cell receptor gene rearrangements, and high-throughput next-generation sequencing. While next-generation sequencing-based MRD detection has been increasingly utilized in clinical practice due to its high sensitivity, the clinical significance of very low MRD levels (<10-4) is not fully characterized. Several new immunotherapy approaches including blinatumomab, inotuzumab ozogamicin, and chimeric antigen receptor T-cell therapies have demonstrated efficacy in eradicating MRD in patients with B-ALL. However, new approaches to target MRD in patients with T-ALL remain an unmet need. As our MRD detection assays become more sensitive and expanding novel therapeutics enter clinical development, the future of ALL therapy will increasingly utilize MRD as a criterion to either intensify or modify therapy to prevent relapse or de-escalate therapy to reduce treatment-related morbidity and mortality.
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Affiliation(s)
- Caner Saygin
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Joseph Cannova
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Wendy Stock
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL
| | - Lori Muffly
- Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University, Stanford, CA, USA,L. Muffly
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Mikhailova E, Illarionova O, Komkov A, Zerkalenkova E, Mamedov I, Shelikhova L, Olshanskaya Y, Miakova N, Novichkova G, Karachunskiy A, Maschan M, Popov A. Reliable Flow-Cytometric Approach for Minimal Residual Disease Monitoring in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia after CD19-Targeted Therapy. Cancers (Basel) 2022; 14:5445. [PMID: 36358863 PMCID: PMC9658935 DOI: 10.3390/cancers14215445] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 10/26/2022] [Accepted: 11/03/2022] [Indexed: 09/10/2023] Open
Abstract
We aimed to develop an antibody panel and data analysis algorithm for multicolor flow cytometry (MFC), which is a reliable method for minimal residual disease (MRD) detection in patients with B-cell precursor acute lymphoblastic leukemia (BCP-ALL) treated with CD19-directed therapy. The development of the approach, which was adapted for the case of possible CD19 loss, was based on the additional B-lineage marker expression data obtained from a study of primary BCP-ALL patients, an analysis of the immunophenotypic changes that occur during blinatumomab or CAR-T therapy, and an analysis of very early CD19-negative normal BCPs. We have developed a single-tube 11-color panel for MFC-MRD detection. CD22- and iCD79a-based primary B-lineage gating (preferably consecutive) was recommended. Based on patterns of antigen expression changes and the relative expansion of normal CD19-negative BCPs, guidelines for MFC data analysis and interpretation were established. The suggested approach was tested in comparison with the molecular techniques: IG/TR gene rearrangement detection by next-generation sequencing (NGS) and RQ-PCR for fusion-gene transcripts (FGTs). Qualitative concordance rates of 82.8% and 89.8% were obtained for NGS-MRD and FGT-MRD results, respectively. We have developed a sensitive and reliable approach that allows MFC-MRD monitoring after CD19-directed treatment, even in the case of possible CD19 loss.
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Affiliation(s)
- Ekaterina Mikhailova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
| | - Olga Illarionova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
| | - Alexander Komkov
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
- Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117998 Moscow, Russia
| | - Elena Zerkalenkova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
| | - Ilgar Mamedov
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
- Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117998 Moscow, Russia
| | - Larisa Shelikhova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
| | - Yulia Olshanskaya
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
| | - Natalia Miakova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
| | - Galina Novichkova
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
| | - Alexander Karachunskiy
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
| | - Michael Maschan
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
| | - Alexander Popov
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, 117998 Moscow, Russia
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Vigliotta I, Armuzzi S, Barone M, Solli V, Pistis I, Borsi E, Taurisano B, Mazzocchetti G, Martello M, Poletti A, Sartor C, Rizzello I, Pantani L, Tacchetti P, Papayannidis C, Mancuso K, Rocchi S, Zamagni E, Curti A, Arpinati M, Cavo M, Terragna C. The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases. Front Oncol 2022; 12:1001048. [PMID: 36276072 PMCID: PMC9582597 DOI: 10.3389/fonc.2022.1001048] [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: 07/22/2022] [Accepted: 09/20/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Minimal residual disease (MRD) is commonly assessed in bone marrow (BM) aspirate. However, sample quality can impair the MRD measurement, leading to underestimated residual cells and to false negative results. To define a reliable and reproducible method for the assessment of BM hemodilution, several flow cytometry (FC) strategies for hemodilution evaluation have been compared. Methods For each BM sample, cells populations with a well-known distribution in BM and peripheral blood - e.g., mast cells (MC), immature (IG) and mature granulocytes (N) – have been studied by FC and quantified alongside the BM differential count. Results The frequencies of cells’ populations were correlated to the IG/N ratio, highlighting a mild correlation with MCs and erythroblasts (R=0.25 and R=0.38 respectively, with p-value=0.0006 and 0.0000052), whereas no significant correlation was found with B or T-cells. The mild correlation between IG/N, erythroblasts and MCs supported the combined use of these parameters to evaluate BM hemodilution, hence the optimization of the ALLgorithMM. Once validated, the ALLgorithMM was employed to evaluate the dilution status of BM samples in the context of MRD assessment. Overall, we found that 32% of FC and 52% of Next Generation Sequencing (NGS) analyses were MRD negative in samples resulted hemodiluted (HD) or at least mildly hemodiluted (mHD). Conclusions The high frequency of MRD-negative results in both HD and mHD samples implies the presence of possible false negative MRD measurements, impairing the correct assessment of patients’ response to therapy and highlighs the importance to evaluate BM hemodilution.
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Affiliation(s)
- Ilaria Vigliotta
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- *Correspondence: Ilaria Vigliotta, ; Carolina Terragna,
| | - Silvia Armuzzi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Martina Barone
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Vincenza Solli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Ignazia Pistis
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
| | - Enrica Borsi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Barbara Taurisano
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Gaia Mazzocchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Marina Martello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Andrea Poletti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Chiara Sartor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Ilaria Rizzello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Lucia Pantani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
| | - Paola Tacchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
| | - Cristina Papayannidis
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
| | - Katia Mancuso
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Serena Rocchi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Antonio Curti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Mario Arpinati
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Michele Cavo
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
| | - Carolina Terragna
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- *Correspondence: Ilaria Vigliotta, ; Carolina Terragna,
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10
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Wästerlid T, Cavelier L, Haferlach C, Konopleva M, Fröhling S, Östling P, Bullinger L, Fioretos T, Smedby KE. Application of precision medicine in clinical routine in haematology-Challenges and opportunities. J Intern Med 2022; 292:243-261. [PMID: 35599019 PMCID: PMC9546002 DOI: 10.1111/joim.13508] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Precision medicine is revolutionising patient care in cancer. As more knowledge is gained about the impact of specific genetic lesions on diagnosis, prognosis and treatment response, diagnostic precision and the possibility for optimal individual treatment choice have improved. Identification of hallmark genetic aberrations such as the BCR::ABL1 gene fusion in chronic myeloid leukaemia (CML) led to the rapid development of efficient targeted therapy and molecular follow-up, vastly improving survival for patients with CML during recent decades. The assessment of translocations, copy number changes and point mutations are crucial for the diagnosis and risk stratification of acute myeloid leukaemia and myelodysplastic syndromes. Still, the often heterogeneous and complex genetic landscape of haematological malignancies presents several challenges for the implementation of precision medicine to guide diagnosis, prognosis and treatment choice. This review provides an introduction and overview of the important molecular characteristics and methods currently applied in clinical practice to guide clinical decision making in haematological malignancies of myeloid and lymphoid origin. Further, experimental ways to guide the choice of targeted therapy for refractory patients are reviewed, such as functional precision medicine using drug profiling. An example of the use of pipeline studies where the treatment is chosen according to the molecular characteristics in rare solid malignancies is also provided. Finally, the future opportunities and remaining challenges of precision medicine in the real world are discussed.
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Affiliation(s)
- Tove Wästerlid
- Department of Medicine Solna, Division of Clinical Epidemiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Lucia Cavelier
- Department of Immunology, Genetics and Pathology, Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Marina Konopleva
- Department of Leukemia, M.D. Anderson Cancer Center, Houston, Texas, USA
| | - Stefan Fröhling
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Päivi Östling
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Lars Bullinger
- Department of Hematology, Oncology and Tumor Immunology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.,German Cancer Consortium (DKTK) Berlin Site, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Thoas Fioretos
- Division of Clinical Genetics, Department of Laboratory Medicine, Science for Life Laboratory, Lund University and Clinical Genomics Lund, Lund, Sweden
| | - Karin E Smedby
- Department of Medicine Solna, Division of Clinical Epidemiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
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11
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Outcomes and endpoints in clinical trials supporting the marketing authorisation of treatments in paediatric acute lymphoblastic leukaemia. Drug Discov Today 2022; 27:2440-2466. [PMID: 35597514 DOI: 10.1016/j.drudis.2022.05.015] [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: 12/09/2021] [Revised: 04/04/2022] [Accepted: 05/16/2022] [Indexed: 11/23/2022]
Abstract
The improvement in acute lymphoblastic leukaemia (ALL) treatment has led research efforts to focus on the unmet medical needs of an increasingly smaller patient cohort with resistant leukaemia and to develop more-targeted agents. Survival and response rates remain the most-prevalent endpoints in paediatric ALL research, but other intermediate clinical endpoints and molecular biomarkers for efficacy and mid- and long-term safety endpoints are also being investigated. The success of current ALL treatment appears to be driving new paradigms to optimise clinical drug development, while at the same time, regulatory tools in place are supporting meaningful drug development in the area.
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12
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Fang Q, Gong X, Liu K, Jia Y, Song Y, Zhang G, Li Y, Hao Q, Ma Y, Wei S, Liu B, Wang Y, Wei H, Wang J, Mi Y. The clinical characteristics and prognosis in adult Ph negative acute lymphoblastic leukemia with TP53 aberrations. Exp Hematol Oncol 2022; 11:22. [PMID: 35395835 PMCID: PMC8991885 DOI: 10.1186/s40164-022-00274-1] [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: 01/27/2022] [Accepted: 03/25/2022] [Indexed: 11/10/2022] Open
Abstract
Very few reports elucidate the prognosis of patients with TP53 aberrations using both measurable residual disease (MRD) and the status of having undergone allogeneic hematopoietic stem cell transplantation (allo-SCT). In this study, aberrations of TP53 were analyzed using next-generation sequencing (NGS) and fluorescence in situ hybridization (FISH) in patients with Philadelphia chromosome-negative (Ph-) ALL enrolled in a prospective single-arm clinical trial at our leukemia center. We analyzed the survival of the patients grouped according to the MRD level at the third month and whether or not received allo-SCT. We found that allo-SCT could improve the OS in patients with TP53 aberrations; Patients having negative MRD at the third month still showed worse 3-year OS and 3-year DFS without undergoing allo-SCT, which is different from previous studies, moreover, the prognostic significance of TP53 deletions was as important as TP53 mutations, the importance of screening both TP53 deletions and mutations in adult Ph- ALL at diagnosis should be emphasized.
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Affiliation(s)
- Qiuyun Fang
- 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, 300020, China
| | - Xiaoyuan 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, 300020, China
| | - Kaiqi 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, 300020, China
| | - Yujiao Jia
- 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, 300020, China
| | - Yang 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, 300020, China
| | - Guangji 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, 300020, China
| | - Yan Li
- 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, 300020, China
| | - Qishan Hao
- 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, 300020, China
| | - Yueshen Ma
- 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, 300020, China
| | - Shuning Wei
- 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, 300020, China
| | - Bingcheng 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, 300020, China
| | - Ying 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, 300020, China
| | - Hui Wei
- 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, 300020, China
| | - Jianxiang 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, 300020, China.
| | - Yingchang Mi
- 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, 300020, China.
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13
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NT5E gene and CD38 protein as potential prognostic biomarkers for childhood B-acute lymphoblastic leukemia. Purinergic Signal 2022; 18:211-222. [PMID: 35235138 DOI: 10.1007/s11302-022-09841-x] [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: 09/21/2021] [Accepted: 01/04/2022] [Indexed: 12/21/2022] Open
Abstract
The risk stratification of B-acute lymphoblastic leukemia (B-ALL) is based on clinical and biological factors. However, B-ALL has significant biological and clinical heterogeneity and 50% of B-ALL patients do not have defined prognostic markers. In this sense, the identification of new prognostic biomarkers is necessary. Considering different cohorts of childhood B-ALL patients, gene (DPP4/CD38/ENTPD1/NT5E) and protein (CD38/CD39/CD73) expressions of ectonucleotidases were analyzed in silico and ex vivo and the association with prognosis was established. In univariate analyses, expression of NT5E was significantly associated with worse progression-free survival (PFS) in bone marrow (BM) samples. In multivariate analyses, Kaplan-Meier analysis, and log-rank test, higher NT5E expression predicted unfavorable PFS in BM samples. Considering minimal residual disease (MRD), higher levels of cellularity were associated with the high NT5E expression at day 8 of induction therapy. In addition, we observed that white blood cells (WBC) of childhood B-ALL patients had more CD38 compared to the same cell population of healthy donors (HD). In fact, MRD > 0.1% patients had higher CD38 protein expression on WBC in comparison to HD. Noteworthy, we observed higher CD38 expression on WBC than blasts in MRD > 0.1% patients. We suggest that NT5E gene and CD38 protein expression, of the ectonucleotidases family, could provide interesting prognostic biomarkers for childhood B-ALL.
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14
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Aleem A, Haque AR, Roloff GW, Griffiths EA. Application of Next-Generation Sequencing-Based Mutational Profiling in Acute Lymphoblastic Leukemia. Curr Hematol Malig Rep 2021; 16:394-404. [PMID: 34613552 DOI: 10.1007/s11899-021-00641-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/03/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE OF REVIEW Recent efforts to characterize hematologic cancers with genetic and molecular detail have largely relied on mutational profiling via next-generation sequencing (NGS). The application of NGS-guided disease prognostication and clinical decision making requires a basic understanding of sequencing advantages, pitfalls, and areas where clinical care might be enhanced by the knowledge generated. This article identifies avenues within the landscape of adult acute lymphoblastic leukemia (ALL) where mutational data hold the opportunity to enhance understanding of disease biology and patient care. RECENT FINDINGS NGS-based assessment of measurable residual disease (MRD) after ALL treatment allows for a sensitive and specific molecular survey that is at least comparable, if not superior, to existing techniques. Mutational assessment by NGS has unraveled complex signaling networks that drive pathogenesis of T-cell ALL. Sequencing of patients with familial clustering of ALL has also identified novel germline mutations whose inheritance predisposes to disease development in successive generations. While NGS-based assessment of hematopoietic malignancies often provides actionable information to clinicians, patients with acute lymphoblastic leukemia are left underserved due to a lack of disease classification and prognostication schema that integrate molecular data. Ongoing research is positioned to enrich the molecular toolbox available to clinicians caring for adult ALL patients and deliver new insights to guide therapeutic selection, monitor clinical response, and detect relapse.
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Affiliation(s)
- Ahmed Aleem
- Department of Medicine, Loyola University Medical Center, 2160 S. 1st Ave, Maywood, IL, 60153, USA
| | - Ali R Haque
- Department of Medicine, Loyola University Medical Center, 2160 S. 1st Ave, Maywood, IL, 60153, USA
| | - Gregory W Roloff
- Department of Medicine, Loyola University Medical Center, 2160 S. 1st Ave, Maywood, IL, 60153, USA.
| | - Elizabeth A Griffiths
- Leukemia Service, Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
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15
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Newly proposed threshold and validation of white blood cell count at diagnosis for Philadelphia chromosome-positive acute lymphoblastic leukemia: risk assessment of relapse in patients with negative minimal residual disease at transplantation-a report from the Adult Acute Lymphoblastic Leukemia Working Group of the JSTCT. Bone Marrow Transplant 2021; 56:2842-2848. [PMID: 34331021 DOI: 10.1038/s41409-021-01422-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/09/2021] [Accepted: 07/22/2021] [Indexed: 11/08/2022]
Abstract
White blood cell count (WBC) at diagnosis is the conventional prognostic factor in Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph+ ALL). Nevertheless, little is known about the impact of WBC at diagnosis considering the minimal residual disease (MRD) status at allogeneic hematopoietic cell transplantation (HCT). We evaluated adult patients with Ph+ ALL who achieved negative-MRD and received HCT in first complete remission between 2006 and 2018. The entire cohort was temporally divided into derivation (n = 258) and validation cohorts (n = 366). Using a threshold of 15,000/μL, which was determined by a receiver operating characteristic curve analysis in the derivation cohort, high WBC was associated with an increased risk of hematological relapse in both the derivation cohort (25.3% vs. 11.6% at 7 years, P = 0.004) and the validation cohort (16.2% vs. 8.5% at 3 years, P = 0.025). In multivariate analyses, high WBC was a strong predictor of hematological relapse in the derivation cohort (HR, 2.52, 95%CI 1.32-4.80, P = 0.005) and in the validation cohort (HR, 2.32, 95%CI, 1.18-4.55; P = 0.015). In conclusion, WBC at diagnosis with a new threshold of 15,000/μL should contribute to better risk stratification in patients with negative-MRD at HCT.
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16
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Minimal Residual Disease in Acute Lymphoblastic Leukemia: Current Practice and Future Directions. Cancers (Basel) 2021; 13:cancers13081847. [PMID: 33924381 PMCID: PMC8069391 DOI: 10.3390/cancers13081847] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 03/31/2021] [Accepted: 04/11/2021] [Indexed: 12/27/2022] Open
Abstract
Simple Summary Acute lymphoblastic leukemia minimal residual disease (MRD) refers to the presence of residual leukemia cells following the achievement of complete remission, but below the limit of detection using conventional morphologic assessment. Up to two thirds of children may have MRD detectable after induction therapy depending on the biological subtype and method of detection. Patients with detectable MRD have an increased likelihood of relapse. A rapid reduction of MRD reveals leukemia sensitivity to therapy and under this premise, MRD has emerged as the strongest independent predictor of individual patient outcome and is crucial for risk stratification. However, it is a poor surrogate for treatment effect on long term outcome at the trial level, with impending need of randomized trials to prove efficacy of MRD-adapted interventions. Abstract Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer and advances in its clinical and laboratory biology have grown exponentially over the last few decades. Treatment outcome has improved steadily with over 90% of patients surviving 5 years from initial diagnosis. This success can be attributed in part to the development of a risk stratification approach to identify those subsets of patients with an outstanding outcome that might qualify for a reduction in therapy associated with fewer short and long term side effects. Likewise, recognition of patients with an inferior prognosis allows for augmentation of therapy, which has been shown to improve outcome. Among the clinical and biological variables known to impact prognosis, the kinetics of the reduction in tumor burden during initial therapy has emerged as the most important prognostic variable. Specifically, various methods have been used to detect minimal residual disease (MRD) with flow cytometric and molecular detection of antigen receptor gene rearrangements being the most common. However, many questions remain as to the optimal timing of these assays, their sensitivity, integration with other variables and role in treatment allocation of various ALL subgroups. Importantly, the emergence of next generation sequencing assays is likely to broaden the use of these assays to track disease evolution. This review will discuss the biological basis for utilizing MRD in risk assessment, the technical approaches and limitations of MRD detection and its emerging applications.
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17
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Merli P, Ifversen M, Truong TH, Marquart HV, Buechner J, Wölfl M, Bader P. Minimal Residual Disease Prior to and After Haematopoietic Stem Cell Transplantation in Children and Adolescents With Acute Lymphoblastic Leukaemia: What Level of Negativity Is Relevant? Front Pediatr 2021; 9:777108. [PMID: 34805054 PMCID: PMC8602790 DOI: 10.3389/fped.2021.777108] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 10/14/2021] [Indexed: 12/18/2022] Open
Abstract
Minimal residual disease (MRD) assessment plays a central role in risk stratification and treatment guidance in paediatric patients with acute lymphoblastic leukaemia (ALL). As such, MRD prior to haematopoietic stem cell transplantation (HSCT) is a major factor that is independently correlated with outcome. High burden of MRD is negatively correlated with post-transplant survival, as both the risk of leukaemia recurrence and non-relapse mortality increase with greater levels of MRD. Despite growing evidence supporting these findings, controversies still exist. In particular, it is still not clear whether multiparameter flow cytometry and real-time quantitative polymerase chain reaction, which is used to recognise immunoglobulin and T-cell receptor gene rearrangements, can be employed interchangeably. Moreover, the higher sensitivity in MRD quantification offered by next-generation sequencing techniques may further refine the ability to stratify transplant-associated risks. While MRD quantification from bone marrow prior to HSCT remains the state of the art, heavily pre-treated patients may benefit from additional staging, such as using 18F-fluorodeoxyglucose positron emission tomography/computed tomography to detect focal residues of disease. Additionally, the timing of MRD detection (i.e., immediately before administration of the conditioning regimen or weeks before) is a matter of debate. Pre-transplant MRD negativity has previously been associated with superior outcomes; however, in the recent For Omitting Radiation Under Majority age (FORUM) study, pre-HSCT MRD positivity was associated with neither relapse risk nor survival. In this review, we discuss the level of MRD that may require pre-transplant therapy intensification, risking time delay and complications (as well as losing the window for HSCT if disease progression occurs), as opposed to an adapted post-transplant strategy to achieve long-term remission. Indeed, MRD monitoring may be a valuable tool to guide individualised treatment decisions, including tapering of immunosuppression, cellular therapies (such as donor lymphocyte infusions) or additional immunotherapy (such as bispecific T-cell engagers or chimeric antigen receptor T-cell therapy).
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Affiliation(s)
- Pietro Merli
- Department of Pediatric Hematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Marianne Ifversen
- Pediatric Stem Cell Transplant and Immune Deficiency, Department of Paediatrics and Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Tony H Truong
- Division of Pediatric Oncology and Bone Marrow Transplant, Alberta Children's Hospital, University of Calgary, Calgary, AB, Canada
| | - Hanne V Marquart
- Section for Diagnostic Immunology, Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jochen Buechner
- Department of Pediatric Hematology and Oncology, Oslo University Hospital, Oslo, Norway
| | - Matthias Wölfl
- Pediatric Hematology, Oncology and Stem Cell Transplantation, Children's Hospital, Würzburg University Hospital, Würzburg, Germany
| | - Peter Bader
- Division for Stem Cell Transplantation, Immunology and Intensive Care Medicine, Department for Children and Adolescents, Goethe University, University Hospital Frankfurt, Frankfurt, Germany
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