1
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Shimony S, Stahl M, Stone RM. Acute Myeloid Leukemia: 2025 Update on Diagnosis, Risk-Stratification, and Management. Am J Hematol 2025; 100:860-891. [PMID: 39936576 PMCID: PMC11966364 DOI: 10.1002/ajh.27625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Revised: 01/23/2025] [Accepted: 01/25/2025] [Indexed: 02/13/2025]
Abstract
DISEASE OVERVIEW Acute myeloid leukemia (AML) is a bone marrow stem cell cancer that is often fatal despite available treatments. Diagnosis, risk assessment, monitoring, and therapeutic management of AML have changed dramatically in the last decade due to increased pathophysiologic understanding, improved assessment technology, and the addition of at least 12 approved therapies. DIAGNOSIS The diagnosis is based on the presence of immature leukemia cells in the blood, and/or bone marrow or less often in extra-medullary tissues. New biological insights have been integrated into recent classification systems. RISK ASSESSMENT The European Leukemia Network has published risk classification algorithms for both intensively and non-intensively treated patients based on cytogenetic and on molecular findings. Prognostic factors may differ based on the therapeutic approach. MONITORING Our increasing ability to quantify lower levels of measurable residual disease (MRD) potentially allows better response assessment, as well as dynamic monitoring of disease status. The incorporation of MRD findings into therapeutic decision-making is rapidly evolving. RISK ADAPTED THERAPY The availability of 12 newly approved agents has been welcomed; however, optimal strategies incorporating newer agents into therapeutic algorithms are debated. The overarching approach integrates patient and caregiver goals of care, comorbidities, and disease characteristics.
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Affiliation(s)
- Shai Shimony
- Department of Medical OncologyDana‐Farber Cancer InstituteBostonMassachusettsUSA
| | - Maximilian Stahl
- Department of Medical OncologyDana‐Farber Cancer InstituteBostonMassachusettsUSA
| | - Richard M. Stone
- Department of Medical OncologyDana‐Farber Cancer InstituteBostonMassachusettsUSA
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2
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Ngo TQ, Goh AFN, Dorwal P, Leong E, Shortt J, Fedele PL, Gilbertson M, Fong CY, Shanmuganathan N, Kumar B, Yeh P. Next-generation sequencing RNA fusion panel for the diagnosis of haematological malignancies. Pathology 2025; 57:340-347. [PMID: 39672769 DOI: 10.1016/j.pathol.2024.09.009] [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: 05/19/2024] [Revised: 09/13/2024] [Accepted: 09/22/2024] [Indexed: 12/15/2024]
Abstract
Haematological malignancies are being increasingly defined by gene rearrangements, which have traditionally been detected by karyotype, fluorescent in situ hybridisation (FISH) or reverse-transcriptase polymerase chain reaction (RT-PCR). However, these traditional methods may miss cryptic gene rearrangements and are limited by the number of gene rearrangements screened at any one time. A next-generation sequencing (NGS) RNA fusion panel is an evolving technology that can identify multiple fusion transcripts in a single molecular assay, even without prior knowledge of breakpoints or fusion partners. We explored the utility of the Illumina TruSight RNA Fusion Panel for use in haematological malignancies by sequencing 30 peripheral blood or bone marrow aspirate samples. Secondary and tertiary analyses were performed using the Illumina DRAGEN RNA pipeline and PierianDx Clinical Genomics Workspace platform. Our RNA fusion panel was able to reliably detect known fusion transcripts, such as BCR::ABL1, ETV6::RUNX1 and KMT2A::AFF1, in acute lymphoblastic leukaemia (ALL), KMT2A::MLLT3, KMT2A::MLLT6, PML::RARA and CBFB::MYH11 in acute myeloid leukaemia (AML), and FIP1L1::PDGFRA in myeloid/lymphoid neoplasm with eosinophilia (MLN-Eo). In addition, it was able to detect rare KAT6A::CREBBP and CHIC2::ETV6 fusions, which could not be confirmed by traditional methods. The assay had a transcript limit of detection of approximately 5-10% of positive controls. These findings confirm the unique utility of the NGS-based RNA fusion panel as a diagnostic tool to identify gene rearrangements that drive haematological malignancies. It can identify novel and rare gene rearrangements to assist with diagnosis, prognostication and treatment decisions.
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Affiliation(s)
- Trung Quang Ngo
- Department of Haematology, Monash Health, Clayton, Vic, Australia; Department of Diagnostic Genomics, Monash Health, Clayton, Vic, Australia
| | - Anna Fong Na Goh
- Department of Diagnostic Genomics, Monash Health, Clayton, Vic, Australia
| | - Pranav Dorwal
- Department of Diagnostic Genomics, Monash Health, Clayton, Vic, Australia; School of Clinical Sciences, Monash University, Clayton, Vic, Australia
| | - Emmanuel Leong
- Department of Haematology, Monash Health, Clayton, Vic, Australia
| | - Jake Shortt
- Department of Haematology, Monash Health, Clayton, Vic, Australia; School of Clinical Sciences, Monash University, Clayton, Vic, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Vic, Australia
| | - Pasquale L Fedele
- Department of Haematology, Monash Health, Clayton, Vic, Australia; School of Clinical Sciences, Monash University, Clayton, Vic, Australia
| | - Michael Gilbertson
- Department of Haematology, Monash Health, Clayton, Vic, Australia; School of Clinical Sciences, Monash University, Clayton, Vic, Australia
| | - Chun Yew Fong
- Department of Haematology, Austin Health, Heidelberg, Vic, Australia
| | | | - Beena Kumar
- Department of Diagnostic Genomics, Monash Health, Clayton, Vic, Australia
| | - Paul Yeh
- Department of Haematology, Monash Health, Clayton, Vic, Australia; Department of Diagnostic Genomics, Monash Health, Clayton, Vic, Australia; School of Clinical Sciences, Monash University, Clayton, Vic, Australia.
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3
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Schmälter A, Labopin M, Versluis J, Gallego Hernanz MP, Eder M, von dem Borne P, Socié G, Chevallier P, Forcade E, Neubauer A, Baron F, Bazarbachi A, Bug G, Nagler A, Schmid C, Esteve J, Mohty M, Ciceri F. The role of allogeneic stem cell transplantation in acute myeloid leukemia with translocation t(8;16)(p11;p13). Am J Hematol 2025; 100:85-92. [PMID: 39558209 PMCID: PMC11625973 DOI: 10.1002/ajh.27496] [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: 07/31/2024] [Revised: 09/17/2024] [Accepted: 09/22/2024] [Indexed: 11/20/2024]
Abstract
Acute myeloid leukemia (AML) with translocation t(8;16)(p11;p13) represents a rare entity that has been categorized as a disease-defining recurring cytogenetic abnormality with adverse risk in the 2022 European LeukemiaNet classification. This rating was mainly based on a retrospective analysis comprising patients from several large clinical trials, which, however, included only 21 patients treated with allogeneic stem cell transplantation (alloSCT). Therefore, the European Society for Blood and Marrow Transplantation performed a registry study on a larger cohort to evaluate the role of alloSCT in t(8;16) AML. Sixty transplant recipients with t(8;16) AML were identified. Two-year overall and leukemia-free survival (OS/LFS) was 43/39%. Patients transplanted in first complete remission (CR1, n = 44) achieved a 2-year OS/LFS of 48%/48%. Following alloSCT in CR1, the multivariable analysis identified a complex karyotype (CK) as a major risk factor for relapse (HR 4.17, p = .016), lower LFS (HR 3.38, p = .01), and lower OS (HR 3.08, p = .017). Two-year OS/LFS of patients with CK was 19%/19%, in contrast to 67%/67% in patients with t(8;16) outside a CK. Other factors for inferior outcomes were older age and secondary AML. In summary, alloSCT could mitigate the adverse risk of patients with t(8;16) AML not harboring a CK, particularly when performed in CR1.
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MESH Headings
- Humans
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/therapy
- Leukemia, Myeloid, Acute/mortality
- Translocation, Genetic
- Male
- Adult
- Female
- Middle Aged
- Chromosomes, Human, Pair 8/genetics
- Hematopoietic Stem Cell Transplantation
- Adolescent
- Chromosomes, Human, Pair 16/genetics
- Retrospective Studies
- Young Adult
- Aged
- Transplantation, Homologous
- Disease-Free Survival
- Allografts
- Remission Induction
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Affiliation(s)
- Ann‐Kristin Schmälter
- Department of Hematology and Oncology, Augsburg University Hospital and Medical FacultyComprehensive Cancer Center AugsburgAugsburgGermany
- Bavarian Cancer Research Center (BZKF)AugsburgGermany
| | | | - Jurjen Versluis
- Erasmus University Medical Center Cancer InstituteRotterdamThe Netherlands
| | | | - Matthias Eder
- Department of Stem Cell TransplantationHannover Medical SchoolHannoverGermany
| | | | | | | | | | - Andreas Neubauer
- Clinic for Hematology, Oncology, Immunology, and Carreras Leukemia CenterPhilipps University MarburgMarburgGermany
| | | | - Ali Bazarbachi
- Bone Marrow Transplantation Program, Department of Internal MedicineAmerican University of Beirut Medical CenterBeirutLebanon
| | - Gesine Bug
- Department for Hematology and OncologyUniversity Hospital FrankfurtFrankfurtGermany
| | - Arnon Nagler
- Hematology and Bone Marrow Transplantation Division, Chaim Sheba Medical CenterTel Aviv UniversityRamat GanIsrael
| | - Christoph Schmid
- Department of Hematology and Oncology, Augsburg University Hospital and Medical FacultyComprehensive Cancer Center AugsburgAugsburgGermany
- Bavarian Cancer Research Center (BZKF)AugsburgGermany
| | - Jordi Esteve
- Hematology DepartmentHospital Clinic Barcelona, IDIBAPSBarcelonaSpain
| | - Mohamad Mohty
- EBMT Paris Study OfficeParisFrance
- Department of HaematologySaint Antoine HospitalParisFrance
| | - Fabio Ciceri
- IRCCS Ospedale San Raffaele, Hematology and BMTUniversity Vita‐Salute San RaffaeleMilanItaly
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4
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Sheridan M, Maqbool MA, Largeot A, Clayfield L, Xu J, Moncaut N, Sellers R, Whittle J, Paggetti J, Iqbal M, Aucagne R, Delva L, Baker SM, Lie-A-Ling M, Kouskoff V, Lacaud G. The small inhibitor WM-1119 effectively targets KAT6A-rearranged AML, but not KMT2A-rearranged AML, despite shared KAT6 genetic dependency. J Hematol Oncol 2024; 17:91. [PMID: 39380002 PMCID: PMC11462755 DOI: 10.1186/s13045-024-01610-0] [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: 05/10/2024] [Accepted: 09/20/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND The epigenetic factors KAT6A (MOZ/MYST3) and KMT2A (MLL/MLL1) interact in normal hematopoiesis to regulate progenitors' self-renewal. Both proteins are recurrently translocated in AML, leading to impairment of critical differentiation pathways in these malignant cells. We evaluated the potential of different KAT6A therapeutic targeting strategies to alter the growth of KAT6A and KMT2A rearranged AMLs. METHODS We investigated the action and potential mechanisms of the first-in-class KAT6A inhibitor, WM-1119 in KAT6A and KMT2A rearranged (KAT6Ar and KMT2Ar) AML using cellular (flow cytometry, colony assays, cell growth) and molecular (shRNA knock-down, CRISPR knock-out, bulk and single-cell RNA-seq, ChIP-seq) assays. We also used two novel genetic murine KAT6A models combined with the most common KMT2Ar AML, KMT2A::MLLT3 AML. In these murine models, the catalytic activity of KAT6A, or the whole protein, can be conditionally abrogated or deleted. These models allowed us to compare the effects of specific KAT6A KAT activity inhibition with the complete deletion of the whole protein. Finally, we also tested these therapeutic approaches on human AML cell lines and primary patient AMLs. RESULTS We found that WM-1119 completely abrogated the proliferative and clonogenic potential of KAT6Ar cells in vitro. WM-1119 treatment was associated with a dramatic increase in myeloid differentiation program. The treatment also decreased stemness and leukemia pathways at the transcriptome level and led to loss of binding of the fusion protein at critical regulators of these pathways. In contrast, our pharmacologic and genetic results indicate that the catalytic activity of KAT6A plays a more limited role in KMT2Ar leukemogenicity, while targeting the whole KAT6A protein dramatically affects leukemic potential in murine KMT2A::MLLT3 AML. CONCLUSION Our study indicates that inhibiting KAT6A KAT activity holds compelling promise for KAT6Ar AML patients. In contrast, targeted degradation of KAT6A, and not just its catalytic activity, may represent a more appropriate therapeutic approach for KMT2Ar AMLs.
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Affiliation(s)
- Mathew Sheridan
- Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
| | - Muhammad Ahmad Maqbool
- Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
- GSK Medicines Research Centre, Stevenage, UK
| | - Anne Largeot
- Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
- Department of Cancer Research, Tumor Stroma Interactions, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Liam Clayfield
- Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
| | - Jingru Xu
- Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
| | - Natalia Moncaut
- Genome Editing and Mouse Models, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
| | - Robert Sellers
- Computational Biology Support, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
| | - Jessica Whittle
- Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
| | - Jerome Paggetti
- Department of Cancer Research, Tumor Stroma Interactions, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Mudassar Iqbal
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Romain Aucagne
- UFR des Sciences de Santé, Inserm U1231, Université de Bourgogne, Team Epi2THM, LipSTIC Labex, Dijon, France
| | - Laurent Delva
- UFR des Sciences de Santé, Inserm U1231, Université de Bourgogne, Team Epi2THM, LipSTIC Labex, Dijon, France
| | - Syed Murtuza Baker
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Michael Lie-A-Ling
- Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK
| | - Valerie Kouskoff
- Division of Developmental Biology and Medicine, The University of Manchester, Manchester, UK
| | - Georges Lacaud
- Stem Cell Biology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, UK.
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Sackstein P, Williams A, Zemel R, Marks JA, Renteria AS, Rivero G. Transplant Eligible and Ineligible Elderly Patients with AML-A Genomic Approach and Next Generation Questions. Biomedicines 2024; 12:975. [PMID: 38790937 PMCID: PMC11117792 DOI: 10.3390/biomedicines12050975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 05/26/2024] Open
Abstract
The management of elderly patients diagnosed with acute myelogenous leukemia (AML) is complicated by high relapse risk and comorbidities that often preclude access to allogeneic hematopoietic cellular transplantation (allo-HCT). In recent years, fast-paced FDA drug approval has reshaped the therapeutic landscape, with modest, albeit promising improvement in survival. Still, AML outcomes in elderly patients remain unacceptably unfavorable highlighting the need for better understanding of disease biology and tailored strategies. In this review, we discuss recent modifications suggested by European Leukemia Network 2022 (ELN-2022) risk stratification and review recent aging cell biology advances with the discussion of four AML cases. While an older age, >60 years, does not constitute an absolute contraindication for allo-HCT, the careful patient selection based on a detailed and multidisciplinary risk stratification cannot be overemphasized.
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Affiliation(s)
- Paul Sackstein
- Lombardi Cancer Institute, School of Medicine, Georgetown University, Washington, DC 20007, USA; (P.S.); (R.Z.); (J.A.M.)
| | - Alexis Williams
- Department of Medicine, New York University, New York, NY 10016, USA;
| | - Rachel Zemel
- Lombardi Cancer Institute, School of Medicine, Georgetown University, Washington, DC 20007, USA; (P.S.); (R.Z.); (J.A.M.)
| | - Jennifer A. Marks
- Lombardi Cancer Institute, School of Medicine, Georgetown University, Washington, DC 20007, USA; (P.S.); (R.Z.); (J.A.M.)
| | - Anne S. Renteria
- Lombardi Cancer Institute, School of Medicine, Georgetown University, Washington, DC 20007, USA; (P.S.); (R.Z.); (J.A.M.)
| | - Gustavo Rivero
- Lombardi Cancer Institute, School of Medicine, Georgetown University, Washington, DC 20007, USA; (P.S.); (R.Z.); (J.A.M.)
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6
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Park HS. What is new in acute myeloid leukemia classification? Blood Res 2024; 59:15. [PMID: 38616211 PMCID: PMC11016528 DOI: 10.1007/s44313-024-00016-8] [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: 12/29/2023] [Accepted: 04/05/2024] [Indexed: 04/16/2024] Open
Abstract
Recently, the International Consensus Classification (ICC) and the 5th edition of the World Health Organization classification (WHO2022) introduced diagnostically similar yet distinct approaches, which has resulted in practical confusion. This review compares these classification systems for acute myeloid leukemia (AML), building up on the revised 4th edition of WHO (WHO2016). Both classifications retain recurrent genetic abnormalities as a primary consideration. However, they differ in terms of blast threshold. The ICC mandates a minimum of 10% blasts in the bone marrow or peripheral blood, whereas the WHO2022 does not specify a blast cut-off. AML with BCR::ABL1 requires > 20% blast count in both classifications. In WHO2022, AML with CEBPA mutation requires > 20% blasts. TP53 mutation, a new entity is exclusive to ICC, diagnosed with > 20% blasts and variant allele frequency > 10%. AML with myelodysplasia-related changes is defined by cytogenetic or gene mutation-based criteria, not morphological dysplasia. Eight genes were common to both groups: ASXL1, BCOR, EZH2, SF3B1, SRSF2, STAG2, U2AF1, and ZRSR2. An additional gene, RUNX1, was included in the ICC classification. AML cases defined by differentiation (WHO2022) and AML not otherwise specified (ICC) are categorized as lacking specific defining genetic abnormalities, WHO2022 labels this as a myeloid neoplasm post cytotoxic therapy (MN-pCT), described as an appendix after specific diagnosis. Similarly, in ICC, it can be described as "therapy-related", without a separate AML category.
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Affiliation(s)
- Hee Sue Park
- Department of Laboratory Medicine, Chungbuk National University Hospital, 776, 1 Sunhwan-ro, Seowon-gu, Cheongju, Chungcheongbuk-do, 28644, Republic of Korea.
- Department of Laboratory Medicine, Chungbuk National University College of Medicine, 776, 1 Sunhwan-ro, Seowon-gu, Cheongju, Chungcheongbuk-do, 28644, Republic of Korea.
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7
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Song GY, Kim HJ, Kim T, Ahn SY, Jung SH, Kim M, Yang DH, Lee JJ, Kim MY, Cheong JW, Jung CW, Jang JH, Kim HJ, Moon JH, Sohn SK, Won JH, Park SK, Kim SH, Choi CK, Kim HJ, Ahn JS, Kim DDH. Validation of the 2022 European LeukemiaNet risk stratification for acute myeloid leukemia. Sci Rep 2024; 14:8517. [PMID: 38609396 PMCID: PMC11014905 DOI: 10.1038/s41598-024-57295-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 03/16/2024] [Indexed: 04/14/2024] Open
Abstract
This study aimed to validate the 2022 European LeukemiaNet (ELN) risk stratification for acute myeloid leukemia (AML). A total of 624 newly diagnosed AML patients from 1998 to 2014 were included in the analysis. Genetic profiling was conducted using targeted deep sequencing of 45 genes based on recurrent driver mutations. In total, 134 (21.5%) patients had their risk classification reassessed according to the 2022 ELN risk stratification. Among those initially classified as having a favorable risk in 2017 (n = 218), 31 and 3 patients were reclassified as having intermediate risk or adverse risk, respectively. Among the three subgroups, the 2022 ELN favorable-risk group showed significantly longer survival outcomes than the other groups. Within the 2017 ELN intermediate-risk group (n = 298), 21 and 46 patients were reclassified as having favorable risk or adverse risk, respectively, and each group showed significant stratifications in survival outcomes. Some patients initially classified as having adverse risk in 2017 were reclassified into the intermediate-risk group (33 of 108 patients), but no prognostic improvements were observed in this group. A multivariable analysis identified the 2022 ELN risk stratification, age, and receiving allogeneic hematopoietic cell transplantation as significant prognostic factors for survival. The 2022 ELN risk stratification enables more precise decisions for proceeding with allogeneic hematopoietic cell transplantation for AML patients.
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Affiliation(s)
- Ga-Young Song
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, Jeollanam-Do, Republic of Korea
| | - Hyeon-Jong Kim
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, Jeollanam-Do, Republic of Korea
| | - TaeHyung Kim
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
- The Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada
| | - Seo-Yeon Ahn
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, Jeollanam-Do, Republic of Korea
| | - Sung-Hoon Jung
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, Jeollanam-Do, Republic of Korea
| | - Mihee Kim
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, Jeollanam-Do, Republic of Korea
| | - Deok-Hwan Yang
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, Jeollanam-Do, Republic of Korea
| | - Je-Jung Lee
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, Jeollanam-Do, Republic of Korea
| | - Mi Yeon Kim
- Genomic Research Center for Hematopoietic Diseases, Chonnam National University Hwasun Hospital, Gwangju, Jeollanam-Do, Republic of Korea
| | - June-Won Cheong
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chul Won Jung
- Division of Hematology-Oncology, Samsung Medical Center, Seoul, South Korea
| | - Jun Ho Jang
- Division of Hematology-Oncology, Samsung Medical Center, Seoul, South Korea
| | - Hee- Je Kim
- Department of Hematology, The Catholic University of Korea, Seoul, South Korea
| | - Joon Ho Moon
- Department of Hematology-Oncology, School of Medicine, Kyungpook National University Hospital, Kyungpook National University, Daegu, South Korea
| | - Sang Kyun Sohn
- Department of Hematology-Oncology, School of Medicine, Kyungpook National University Hospital, Kyungpook National University, Daegu, South Korea
| | - Jong-Ho Won
- Division of Hematology & Oncology, Department of Internal Medicine, Soonchunhyang University College of Medicine, Soonchunhyang University Hospital, Seoul, South Korea
| | - Seong Kyu Park
- Division of Hematology & Oncology, Department of Internal Medicine, Soonchunhyang University College of Medicine, Soonchunhyang University Hospital, Seoul, South Korea
| | - Sung-Hyun Kim
- Department of Hematology-Oncology, Dong-A University College of Medicine, Busan, South Korea
| | - Chang Kyun Choi
- Division of Cancer Registration and Surveillance, National Cancer Control Institute, National Cancer Canter, Goyang, South Korea
| | - Hyeoung-Joon Kim
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, Jeollanam-Do, Republic of Korea
- Genomic Research Center for Hematopoietic Diseases, Chonnam National University Hwasun Hospital, Gwangju, Jeollanam-Do, Republic of Korea
| | - Jae-Sook Ahn
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, Jeollanam-Do, Republic of Korea.
- Genomic Research Center for Hematopoietic Diseases, Chonnam National University Hwasun Hospital, Gwangju, Jeollanam-Do, Republic of Korea.
- Department of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University, 322 Seoyang-Ro, Hwasun-Eup, Hwasun-Gun, Jeollanam-Do, 58128, Republic of Korea.
| | - Dennis Dong Hwan Kim
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada.
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8
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Rørvik SD, Torkildsen S, Bruserud Ø, Tvedt THA. Acute myeloid leukemia with rare recurring translocations-an overview of the entities included in the international consensus classification. Ann Hematol 2024; 103:1103-1119. [PMID: 38443661 PMCID: PMC10940453 DOI: 10.1007/s00277-024-05680-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
Two different systems exist for subclassification of acute myeloid leukemia (AML); the World Health Organization (WHO) Classification and the International Consensus Classification (ICC) of myeloid malignancies. The two systems differ in their classification of AML defined by recurrent chromosomal abnormalities. One difference is that the ICC classification defines an AML subset that includes 12 different genetic abnormalities that occur in less than 4% of AML patients. These subtypes exhibit distinct clinical traits and are associated with treatment outcomes, but detailed description of these entities is not easily available and is not described in detail even in the ICC. We searched in the PubMed database to identify scientific publications describing AML patients with the recurrent chromosomal abnormalities/translocations included in this ICC defined patient subset. This patient subset includes AML with t(1;3)(p36.3;q21.3), t(3;5)(q25.3;q35.1), t(8;16)(p11.2;p13.3), t(1;22)(p13.3;q13.1), t(5;11)(q35.2;p15.4), t(11;12)(p15.4;p13.3) (involving NUP98), translocation involving NUP98 and other partner, t(7;12)(q36.3;p13.2), t(10;11)(p12.3;q14.2), t(16;21)(p11.2;q22.2), inv(16)(p13.3q24.3) and t(16;21)(q24.3;q22.1). In this updated review we describe the available information with regard to frequency, biological functions of the involved genes and the fusion proteins, morphology/immunophenotype, required diagnostic procedures, clinical characteristics (including age distribution) and prognostic impact for each of these 12 genetic abnormalities.
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Affiliation(s)
- Synne D Rørvik
- Department of Cardiology, Haukeland University Hospital, Bergen, Norway
| | - Synne Torkildsen
- Department of Haematology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Øystein Bruserud
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Bergen, Norway
- Section for Hematology, Department of Medicine, Haukeland University Hospital, Bergen, Norway
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9
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Bidet A, Quessada J, Cuccuini W, Decamp M, Lafage-Pochitaloff M, Luquet I, Lefebvre C, Tueur G. Cytogenetics in the management of acute myeloid leukemia and histiocytic/dendritic cell neoplasms: Guidelines from the Groupe Francophone de Cytogénétique Hématologique (GFCH). Curr Res Transl Med 2023; 71:103421. [PMID: 38016419 DOI: 10.1016/j.retram.2023.103421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 09/29/2023] [Accepted: 10/15/2023] [Indexed: 11/30/2023]
Abstract
Genetic data are becoming increasingly essential in the management of hematological neoplasms as shown by two classifications published in 2022: the 5th edition of the World Health Organization Classification of Hematolymphoid Tumours and the International Consensus Classification of Myeloid Neoplasms and Acute Leukemias. Genetic data are particularly important for acute myeloid leukemias (AMLs) because their boundaries with myelodysplastic neoplasms seem to be gradually blurring. The first objective of this review is to present the latest updates on the most common cytogenetic abnormalities in AMLs while highlighting the pitfalls and difficulties that can be encountered in the event of cryptic or difficult-to-detect karyotype abnormalities. The second objective is to enhance the role of cytogenetics among all the new technologies available in 2023 for the diagnosis and management of AML.
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Affiliation(s)
- Audrey Bidet
- Laboratoire d'Hématologie Biologique, CHU Bordeaux, Avenue Magellan, Bordeaux, Pessac F-33600, France.
| | - Julie Quessada
- Laboratoire de Cytogénétique Hématologique, Hôpital des enfants de la Timone, Assistance Publique-Hôpitaux de Marseille (APHM), Faculté de Médecine, Aix Marseille Université, Marseille 13005, France; CNRS, INSERM, CIML, Aix Marseille Université, Marseille 13009, France
| | - Wendy Cuccuini
- Laboratoire d'Hématologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | | | - Marina Lafage-Pochitaloff
- Laboratoire de Cytogénétique Hématologique, Hôpital des enfants de la Timone, Assistance Publique-Hôpitaux de Marseille (APHM), Faculté de Médecine, Aix Marseille Université, Marseille 13005, France
| | - Isabelle Luquet
- Laboratoire d'Hématologie, CHU Toulouse, Site IUCT-O, Toulouse, France
| | - Christine Lefebvre
- Unité de Génétique des Hémopathies, Service d'Hématologie Biologique, CHU Grenoble Alpes, Grenoble, France
| | - Giulia Tueur
- Laboratoire d'Hématologie, CHU Avicenne, APHP, Bobigny, France
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10
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Demir D. Insights into the New Molecular Updates in Acute Myeloid Leukemia Pathogenesis. Genes (Basel) 2023; 14:1424. [PMID: 37510328 PMCID: PMC10378849 DOI: 10.3390/genes14071424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/28/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
As our understanding of the biologic basis of acute myeloid leukemia evolves, so do the classification systems used to describe this group of cancers. Early classification systems focused on the morphologic features of blasts and other cell populations; however, the explosion in genomic technologies has led to rapid growth in our understanding of these diseases and thus the refinement of classification systems. Recently, two new systems, the International Consensus Classification system and the 5th edition of the World Health Organization classification of tumors of hematopoietic and lymphoid tissues, were published to incorporate the latest genomic advances in blood cancer. This article reviews the major updates in acute myeloid leukemia in both systems and highlights the biologic insights that have driven these changes.
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Affiliation(s)
- Derya Demir
- Department of Pathology, Ege University Faculty of Medicine, Izmir 35100, Turkey
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11
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Boscaro E, Urbino I, Catania FM, Arrigo G, Secreto C, Olivi M, D'Ardia S, Frairia C, Giai V, Freilone R, Ferrero D, Audisio E, Cerrano M. Modern Risk Stratification of Acute Myeloid Leukemia in 2023: Integrating Established and Emerging Prognostic Factors. Cancers (Basel) 2023; 15:3512. [PMID: 37444622 DOI: 10.3390/cancers15133512] [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: 06/06/2023] [Revised: 07/02/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
An accurate estimation of AML prognosis is complex since it depends on patient-related factors, AML manifestations at diagnosis, and disease genetics. Furthermore, the depth of response, evaluated using the level of MRD, has been established as a strong prognostic factor in several AML subgroups. In recent years, this rapidly evolving field has made the prognostic evaluation of AML more challenging. Traditional prognostic factors, established in cohorts of patients treated with standard intensive chemotherapy, are becoming less accurate as new effective therapies are emerging. The widespread availability of next-generation sequencing platforms has improved our knowledge of AML biology and, consequently, the recent ELN 2022 recommendations significantly expanded the role of new gene mutations. However, the impact of rare co-mutational patterns remains to be fully disclosed, and large international consortia such as the HARMONY project will hopefully be instrumental to this aim. Moreover, accumulating evidence suggests that clonal architecture plays a significant prognostic role. The integration of clinical, cytogenetic, and molecular factors is essential, but hierarchical methods are reaching their limit. Thus, innovative approaches are being extensively explored, including those based on "knowledge banks". Indeed, more robust prognostic estimations can be obtained by matching each patient's genomic and clinical data with the ones derived from very large cohorts, but further improvements are needed.
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Affiliation(s)
- Eleonora Boscaro
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Irene Urbino
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Federica Maria Catania
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Giulia Arrigo
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Carolina Secreto
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Matteo Olivi
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Stefano D'Ardia
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Chiara Frairia
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Valentina Giai
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Roberto Freilone
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Dario Ferrero
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Turin, Italy
| | - Ernesta Audisio
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Marco Cerrano
- Division of Hematology, Department of Oncology, Presidio Molinette, AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
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12
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Bhansali RS, Pratz KW, Lai C. Recent advances in targeted therapies in acute myeloid leukemia. J Hematol Oncol 2023; 16:29. [PMID: 36966300 PMCID: PMC10039574 DOI: 10.1186/s13045-023-01424-6] [Citation(s) in RCA: 98] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/14/2023] [Indexed: 03/27/2023] Open
Abstract
Acute myeloid leukemia (AML) is the most common acute leukemia in adults. While survival for younger patients over the last several decades has improved nearly sixfold with the optimization of intensive induction chemotherapy and allogeneic stem cell transplantation (alloHSCT), this effect has been largely mitigated in older and less fit patients as well as those with adverse-risk disease characteristics. However, the last 10 years has been marked by major advances in the molecular profiling of AML characterized by a deeper understanding of disease pathobiology and therapeutic vulnerabilities. In this regard, the classification of AML subtypes has recently evolved from a morphologic to a molecular and genetic basis, reflected by recent updates from the World Health Organization and the new International Consensus Classification system. After years of stagnation in new drug approvals for AML, there has been a rapid expansion of the armamentarium against this disease since 2017. Low-intensity induction therapy with hypomethylating agents and venetoclax has substantially improved outcomes, including in those previously considered to have a poor prognosis. Furthermore, targeted oral therapies against driver mutations in AML have been added to the repertoire. But with an accelerated increase in treatment options, several questions arise such as how to best sequence therapy, how to combine therapies, and if there is a role for maintenance therapy in those who achieve remission and cannot undergo alloHSCT. Moreover, certain subtypes of AML, such as those with TP53 mutations, still have dismal outcomes despite these recent advances, underscoring an ongoing unmet need and opportunity for translational advances. In this review, we will discuss recent updates in the classification and risk stratification of AML, explore the literature regarding low-intensity and novel oral combination therapies, and briefly highlight investigative agents currently in early clinical development for high-risk disease subtypes.
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Affiliation(s)
- Rahul S Bhansali
- Division of Hematology/Oncology, Department of Medicine, Hospital of the University of Pennsylvania, South Pavilion, 12th Floor, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Keith W Pratz
- Division of Hematology/Oncology, Department of Medicine, Hospital of the University of Pennsylvania, South Pavilion, 12th Floor, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Catherine Lai
- Division of Hematology/Oncology, Department of Medicine, Hospital of the University of Pennsylvania, South Pavilion, 12th Floor, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA.
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13
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Shimony S, Stahl M, Stone RM. Acute myeloid leukemia: 2023 update on diagnosis, risk-stratification, and management. Am J Hematol 2023; 98:502-526. [PMID: 36594187 DOI: 10.1002/ajh.26822] [Citation(s) in RCA: 172] [Impact Index Per Article: 86.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/01/2022] [Accepted: 12/15/2022] [Indexed: 01/04/2023]
Abstract
DISEASE OVERVIEW Acute myeloid leukemia (AML) is a frequently fatal bone marrow stem cell cancer characterized by unbridled proliferation of malignant marrow stem cells with associated infection, anemia, and bleeding. An improved understanding of pathophysiology, improvements in measurement technology and at least 10 recently approved therapies have led to revamping the diagnostic, prognostic, and therapeutic landscape of AML. DIAGNOSIS One updated and one new classification system were published in 2022, both emphasizing the integration of molecular analysis into daily practice. Differences between the International Consensus Classification and major revisions from the previous 2016 WHO system provide both challenges and opportunities for care and clinical research. RISK ASSESSMENT AND MONITORING The European Leukemia Net 2022 risk classification integrates knowledge from novel molecular findings and recent trial results, as well as emphasizing dynamic risk based on serial measurable residual disease assessment. However, how to leverage our burgeoning ability to measure a small number of potentially malignant myeloid cells into therapeutic decision making is controversial. RISK ADAPTED THERAPY The diagnostic and therapeutic complexity plus the availability of newly approved agents requires a nuanced therapeutic algorithm which should integrate patient goals of care, comorbidities, and disease characteristics including the specific mutational profile of the patient's AML. The framework we suggest only represents the beginning of the discussion.
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Affiliation(s)
- Shai Shimony
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.,Rabin Medical Center and Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Maximilian Stahl
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Richard M Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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14
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Zhu Y, Wang Z, Li Y, Peng H, Liu J, Zhang J, Xiao X. The Role of CREBBP/EP300 and Its Therapeutic Implications in Hematological Malignancies. Cancers (Basel) 2023; 15:cancers15041219. [PMID: 36831561 PMCID: PMC9953837 DOI: 10.3390/cancers15041219] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/17/2023] Open
Abstract
Disordered histone acetylation has emerged as a key mechanism in promoting hematological malignancies. CREB-binding protein (CREBBP) and E1A-binding protein P300 (EP300) are two key acetyltransferases and transcriptional cofactors that regulate gene expression by regulating the acetylation levels of histone proteins and non-histone proteins. CREBBP/EP300 dysregulation and CREBBP/EP300-containing complexes are critical for the initiation, progression, and chemoresistance of hematological malignancies. CREBBP/EP300 also participate in tumor immune responses by regulating the differentiation and function of multiple immune cells. Currently, CREBBP/EP300 are attractive targets for drug development and are increasingly used as favorable tools in preclinical studies of hematological malignancies. In this review, we summarize the role of CREBBP/EP300 in normal hematopoiesis and highlight the pathogenic mechanisms of CREBBP/EP300 in hematological malignancies. Moreover, the research basis and potential future therapeutic implications of related inhibitors were also discussed from several aspects. This review represents an in-depth insight into the physiological and pathological significance of CREBBP/EP300 in hematology.
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Affiliation(s)
- Yu Zhu
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Zi Wang
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Yanan Li
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Hongling Peng
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Jing Liu
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Ji Zhang
- The Affiliated Nanhua Hospital, Department of Clinical Laboratory, Hengyang Medical School, University of South China, Hengyang 421001, China
- Correspondence: (J.Z.); (X.X.); Tel.: +86-734-8279050 (J.Z.); +86-731-84805449 (X.X.)
| | - Xiaojuan Xiao
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
- Correspondence: (J.Z.); (X.X.); Tel.: +86-734-8279050 (J.Z.); +86-731-84805449 (X.X.)
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15
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Wang XY, Zhang LN. RNA binding protein SAMD4: current knowledge and future perspectives. Cell Biosci 2023; 13:21. [PMID: 36732864 PMCID: PMC9893680 DOI: 10.1186/s13578-023-00968-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 01/22/2023] [Indexed: 02/04/2023] Open
Abstract
SAMD4 protein family is a class of novel RNA-binding proteins that can mediate post-transcriptional regulation and translation repression in eukaryotes, which are highly conserved from yeast to humans during evolution. In mammalian cells, SAMD4 protein family consists of two members including SAMD4A/Smaug1 and SAMD4B/Smaug2, both of which contain common SAM domain that can specifically bind to different target mRNAs through stem-loop structures, also known as Smaug recognition elements (SREs), and regulate the mRNA stability, degradation and translation. In addition, SAMD4 can form the cytoplasmic mRNA silencing foci and regulate the translation of SRE-containing mRNAs in neurons. SAMD4 also can form the cytosolic membrane-less organelles (MLOs), termed as Smaug1 bodies, and regulate mitochondrial function. Importantly, many studies have identified that SAMD4 family members are involved in various pathological processes including myopathy, bone development, neural development, and cancer occurrence and progression. In this review, we mainly summarize the structural characteristics, biological functions and molecular regulatory mechanisms of SAMD4 protein family members, which will provide a basis for further research and clinical application of SAMD4 protein family.
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Affiliation(s)
- Xin-Ya Wang
- grid.28703.3e0000 0000 9040 3743Beijing International Science and Technology Cooperation Base of Antivirus Drug, Faculty of Environment and Life, Beijing University of Technology, 100124 Beijing, People’s Republic of China
| | - Li-Na Zhang
- grid.28703.3e0000 0000 9040 3743Beijing International Science and Technology Cooperation Base of Antivirus Drug, Faculty of Environment and Life, Beijing University of Technology, 100124 Beijing, People’s Republic of China
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16
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Small S, Oh TS, Platanias LC. Role of Biomarkers in the Management of Acute Myeloid Leukemia. Int J Mol Sci 2022; 23:14543. [PMID: 36498870 PMCID: PMC9741257 DOI: 10.3390/ijms232314543] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 11/24/2022] Open
Abstract
Despite many recent advances in treatment options, acute myeloid leukemia (AML) still has a high mortality rate. One important issue in optimizing outcomes for AML patients lies in the limited ability to predict response to specific therapies, duration of response, and likelihood of relapse. With evolving genetic characterization and improving molecular definitions, the ability to predict outcomes and long-term prognosis is slowly improving. The majority of the currently used prognostic assessments relate to molecular and chromosomal abnormalities, as well as response to initial therapy. These risk categories, however, do not account for a large amount of the variability in AML. Laboratory techniques now utilized in the clinic extend beyond bone marrow morphology and single gene sequencing, to next-generation sequencing of large gene panels and multiparameter flow cytometry, among others. Other technologic advances, such as gene expression analysis, have yet to demonstrate enough predictive and prognostic power to be employed in clinical medicine outside of clinical trials, but may be incorporated into the clinic in the future. In this review, we discuss the utility of current biomarkers, and present novel biomarker techniques and strategies that are in development for AML patients. Measurable residual disease (MRD) is a powerful prognostic tool that is increasingly being incorporated into clinical practice, and there are some exciting emerging biomarker technologies that have the potential to improve prognostic power in AML. As AML continues to be a difficult-to-treat disease with poor outcomes in many subtypes, advances in biomarkers that lead to better treatment decisions are greatly needed.
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Affiliation(s)
- Sara Small
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL 60611, USA
- Division of Hematology-Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Timothy S. Oh
- Division of Hospital Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Leonidas C. Platanias
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL 60611, USA
- Division of Hematology-Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
- Department of Medicine, Jesse Brown Veterans Affairs Medical Center, Chicago, IL 60612, USA
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17
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Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN. Blood 2022; 140:1345-1377. [PMID: 35797463 DOI: 10.1182/blood.2022016867] [Citation(s) in RCA: 1400] [Impact Index Per Article: 466.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/29/2022] [Indexed: 11/20/2022] Open
Abstract
The 2010 and 2017 editions of the European LeukemiaNet (ELN) recommendations for diagnosis and management of acute myeloid leukemia (AML) in adults are widely recognized among physicians and investigators. There have been major advances in our understanding of AML, including new knowledge about the molecular pathogenesis of AML, leading to an update of the disease classification, technological progress in genomic diagnostics and assessment of measurable residual disease, and the successful development of new therapeutic agents, such as FLT3, IDH1, IDH2, and BCL2 inhibitors. These advances have prompted this update that includes a revised ELN genetic risk classification, revised response criteria, and treatment recommendations.
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18
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Arber DA, Orazi A, Hasserjian RP, Borowitz MJ, Calvo KR, Kvasnicka HM, Wang SA, Bagg A, Barbui T, Branford S, Bueso-Ramos CE, Cortes JE, Dal Cin P, DiNardo CD, Dombret H, Duncavage EJ, Ebert BL, Estey EH, Facchetti F, Foucar K, Gangat N, Gianelli U, Godley LA, Gökbuget N, Gotlib J, Hellström-Lindberg E, Hobbs GS, Hoffman R, Jabbour EJ, Kiladjian JJ, Larson RA, Le Beau MM, Loh MLC, Löwenberg B, Macintyre E, Malcovati L, Mullighan CG, Niemeyer C, Odenike OM, Ogawa S, Orfao A, Papaemmanuil E, Passamonti F, Porkka K, Pui CH, Radich JP, Reiter A, Rozman M, Rudelius M, Savona MR, Schiffer CA, Schmitt-Graeff A, Shimamura A, Sierra J, Stock WA, Stone RM, Tallman MS, Thiele J, Tien HF, Tzankov A, Vannucchi AM, Vyas P, Wei AH, Weinberg OK, Wierzbowska A, Cazzola M, Döhner H, Tefferi A. International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data. Blood 2022; 140:1200-1228. [PMID: 35767897 PMCID: PMC9479031 DOI: 10.1182/blood.2022015850] [Citation(s) in RCA: 1358] [Impact Index Per Article: 452.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/16/2022] [Indexed: 02/02/2023] Open
Abstract
The classification of myeloid neoplasms and acute leukemias was last updated in 2016 within a collaboration between the World Health Organization (WHO), the Society for Hematopathology, and the European Association for Haematopathology. This collaboration was primarily based on input from a clinical advisory committees (CACs) composed of pathologists, hematologists, oncologists, geneticists, and bioinformaticians from around the world. The recent advances in our understanding of the biology of hematologic malignancies, the experience with the use of the 2016 WHO classification in clinical practice, and the results of clinical trials have indicated the need for further revising and updating the classification. As a continuation of this CAC-based process, the authors, a group with expertise in the clinical, pathologic, and genetic aspects of these disorders, developed the International Consensus Classification (ICC) of myeloid neoplasms and acute leukemias. Using a multiparameter approach, the main objective of the consensus process was the definition of real disease entities, including the introduction of new entities and refined criteria for existing diagnostic categories, based on accumulated data. The ICC is aimed at facilitating diagnosis and prognostication of these neoplasms, improving treatment of affected patients, and allowing the design of innovative clinical trials.
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Affiliation(s)
| | - Attilio Orazi
- Texas Tech University Health Sciences Center El Paso, El Paso, TX
| | | | | | | | | | - Sa A Wang
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Adam Bagg
- University of Pennsylvania, Philadelphia, PA
| | - Tiziano Barbui
- Clinical Research Foundation, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | | | | | | | | | | | - Hervé Dombret
- Université Paris Cité, Hôpital Saint-Louis, Assistance Publique - Hôpitaux de Paris, Paris, France
| | | | | | | | | | | | | | | | | | | | - Jason Gotlib
- Stanford University School of Medicine, Stanford, CA
| | | | | | | | | | - Jean-Jacques Kiladjian
- Université Paris Cité, Hôpital Saint-Louis, Assistance Publique - Hôpitaux de Paris, Paris, France
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Kimmo Porkka
- Helsinki University Central Hospital Comprehensive Cancer Center, Helsinki, Finland
| | | | | | | | | | | | | | | | | | - Akiko Shimamura
- Dana-Farber Cancer Institute, Boston, MA
- Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Jorge Sierra
- Hospital Santa Creu i Sant Pau, Barcelona, Spain
| | | | | | | | | | - Hwei-Fang Tien
- National Taiwan University Hospital, Taipei City, Taiwan
| | | | | | - Paresh Vyas
- University of Oxford, Oxford, United Kingdom
| | - Andrew H Wei
- Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Australia
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19
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Aqil B, Gao J, Stalling M, Sukhanova M, Duncavage EJ, Lu X, Wolniak KL, Kreisel F, Yaseen NR. Distinctive Flow Cytometric and Mutational Profile of Acute Myeloid Leukemia With t(8;16)(p11;p13) Translocation. Am J Clin Pathol 2022; 157:701-708. [PMID: 34698340 DOI: 10.1093/ajcp/aqab178] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 09/19/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES Acute myeloid leukemia (AML) with t(8;16)(p11;p13) abnormalities is a rare, aggressive, and diagnostically challenging subtype that results in KAT6A-CREBBP gene fusion. METHODS To investigate their immunophenotype and genomic features, we identified 5 cases of AML with t(8;16) through a retrospective review of the databases at Northwestern Memorial Hospital in Chicago, IL, and Washington University Medical Center, in St Louis, MO. RESULTS In all, 4 of 5 cases were therapy related and 1 was possibly therapy related. The leukemic blasts showed distinctive features, including bright CD45 expression and remarkably high side scatter that overlapped with maturing myeloid elements, making the blasts difficult to identify on initial examination. They were positive for CD13, CD33, and CD64 and negative for CD34 and CD117. Next-generation sequencing profiling of 4 cases revealed pathogenic ASXL1 (2 cases), FLT3-tyrosine kinase domain (TKD) mutations (2 cases), and other pathogenic mutations. In 3 patients, t(8;16) was the sole cytogenetic abnormality; additional aberrations were found in 2 patients. Single nucleotide polymorphism microarray revealed 1 case with 7q deletion as a secondary clone. CONCLUSIONS Our data highlight the distinctive immunophenotypic profile of AML with t(8;16), which, along with its unique morphology, often presents a diagnostic challenge. We showed that mutations of either ASXL1 or FLT3-TKD are seen in most cases of this leukemia.
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Affiliation(s)
- Barina Aqil
- Division of Hematopathology, Department of Pathology, Northwestern University Feinberg School of Medicine , Chicago, IL , USA
| | - Juehua Gao
- Division of Hematopathology, Department of Pathology, Northwestern University Feinberg School of Medicine , Chicago, IL , USA
| | - Melissa Stalling
- Division of Hematopathology, Department of Pathology, Northwestern University Feinberg School of Medicine , Chicago, IL , USA
| | - Madina Sukhanova
- Division of Hematopathology, Department of Pathology, Northwestern University Feinberg School of Medicine , Chicago, IL , USA
| | - Eric J Duncavage
- Department of Pathology and Immunology, Washington University School of Medicine , St Louis, MO , USA
| | - Xinyan Lu
- Division of Hematopathology, Department of Pathology, Northwestern University Feinberg School of Medicine , Chicago, IL , USA
| | - Kristy L Wolniak
- Division of Hematopathology, Department of Pathology, Northwestern University Feinberg School of Medicine , Chicago, IL , USA
| | | | - Nabeel R Yaseen
- Division of Hematopathology, Department of Pathology, Northwestern University Feinberg School of Medicine , Chicago, IL , USA
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Monitoring KAT6A-CREBBP measurable residual disease in t(8;16) therapy-related acute myeloid leukemia. Leuk Res 2022; 116:106823. [DOI: 10.1016/j.leukres.2022.106823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 03/02/2022] [Accepted: 03/07/2022] [Indexed: 11/21/2022]
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