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Wang X, Wang J, Wei S, Zhao J, Xin B, Li G, Zhao J, Wu D, Luo M, Zhao S, Chen Y, Liu H, Zhang H, Wang J, Wang W, Wang H, Xiong H, He P. The latest edition of WHO and ELN guidance and a new risk model for Chinese acute myeloid leukemia patients. Front Med (Lausanne) 2023; 10:1165445. [PMID: 37435533 PMCID: PMC10332310 DOI: 10.3389/fmed.2023.1165445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/30/2023] [Indexed: 07/13/2023] Open
Abstract
Objective Diagnosis classification and risk stratification are crucial in the prognosis prediction and treatment selection of acute myeloid leukemia (AML). Here, we used a database of 536 AML patients to compare the 4th and 5th WHO classifications and the 2017 and 2022 versions of ELN guidance. Methods AML patients were classified according to the 4th and 5th WHO classifications, as well as the 2017 and 2022 versions of the European LeukemiaNet (ELN) guidance. Kaplan-Meier curves with log-rank tests were used for survival analysis. Results The biggest change was that 25 (5.2%), 8 (1.6%), and 1 (0.2%) patients in the AML, not otherwise specified (NOS) group according to the 4th WHO classification, were re-classified into the AML-MR (myelodysplasia-related), KMT2A rearrangement, and NUP98 rearrangement subgroups based on the 5th WHO classification. Referring to the ELN guidance, 16 patients in the favorable group, six patients in the adverse group, and 13 patients in the intermediate group based on the 2017 ELN guidance were re-classified to the intermediate and adverse groups based on the 2022 ELN guidance. Regrettably, the Kaplan-Meier curves showed that the survival of intermediate and adverse groups could not be distinguished well according to either the 2017 or 2022 ELN guidance. To this end, we constructed a risk model for Chinese AML patients, in which the clinical information (age and gender), gene mutations (NPM1, RUNX1, SH2B3, and TP53), and fusions (CBFB::MYH11 and RUNX1::RUNX1T1) were included, and our model could help divide the patients into favorable, intermediate, and adverse groups. Conclusion These results affirmed the clinical value of both WHO and ELN, but a more suitable prognosis model should be established in Chinese cohorts, such as the models we proposed.
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Affiliation(s)
- Xiaoning Wang
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jie Wang
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Suhua Wei
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Juan Zhao
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Beibei Xin
- Shanghai Yuanqi Biomedical Technology Co., Ltd., Shanghai, China
| | - Guoqing Li
- Shanghai Yuanqi Biomedical Technology Co., Ltd., Shanghai, China
| | - Jing Zhao
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Di Wu
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Minna Luo
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Sijie Zhao
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ying Chen
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Haibo Liu
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hailing Zhang
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jingcheng Wang
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wenjuan Wang
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Huaiyu Wang
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hui Xiong
- Shanghai Yuanqi Biomedical Technology Co., Ltd., Shanghai, China
| | - Pengcheng He
- Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
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Allogeneic hematopoietic cell transplantation can overcome the adverse prognosis indicated by secondary-type mutations in de novo acute myeloid leukemia. Bone Marrow Transplant 2022; 57:1810-1819. [PMID: 36151367 DOI: 10.1038/s41409-022-01817-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 08/16/2022] [Accepted: 08/22/2022] [Indexed: 11/08/2022]
Abstract
Secondary-type mutations (STMs), namely SRSF2, SF3B1, U2AF1, ZRSR2, ASXL1, EZH2, BCOR, and STAG2, are more frequently detected in secondary acute myeloid leukemia (AML) than in de novo AML. Whether de novo AML with STMs should be differently managed is, however, unclear. In 394 patients diagnosed with de novo AML who had a normal karyotype, the genetic profiling via targeted deep sequencing of 45 genes revealed 59 patients carrying STMs (STM+). The STM+ group showed shorter overall survival (OS) than the STM- group (5-year OS, 15.3 vs. 31.0%) (hazard ratio [HR]: 1.975, 95% confidence interval [CI]: 1.446-2.699, p < 0.001). Among the 40 STM+ patients who achieved CR, those who received allogeneic HCT (n = 15) showed better OS (5-year OS, 40.0 vs. 12.0%) (HR: 0.423, 95% CI: 0.184-0.975, p = 0.043) and relapse-free survival (5-year, 40.0 vs. 8.0%) (HR: 0.438, 95% CI: 0.189-1.015, p = 0.054) than those who received consolidation chemotherapy only. The cumulative incidence of relapse was lower in the patients who received allogeneic HCT (5-year, 33.3 vs. 60.0%) (HR: 0.288, 95% CI: 0.111-0.746, p = 0.011), and non-relapse mortality was similar between the two groups (p = 0.935). In conclusion, STM is an independent prognostic factor for adverse outcomes in AML that can be overcome by allogeneic HCT.
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Gao Y, Jia M, Mao Y, Cai H, Jiang X, Cao X, Zhou D, Li J. Distinct Mutation Landscapes Between Acute Myeloid Leukemia With Myelodysplasia-Related Changes and De Novo Acute Myeloid Leukemia. Am J Clin Pathol 2022; 157:691-700. [PMID: 34664628 DOI: 10.1093/ajcp/aqab172] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 09/01/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES To explore the distinct mutation profiles between acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) and de novo AML and their relationships with prognosis. METHODS Next-generation sequencing of 42 myeloid neoplasm-related genes in 293 newly diagnosed patients with AML. RESULTS Eighty-four patients had AML-MRC, and 161 patients had de novo AML. The mutation rates of ASXL1 (25% vs 8.7%, P = .001), NRAS (17.9% vs 8.1%, P = .022), PTPN11 (11.9% vs 5%, P = .048), SETBP1 (6% vs 0.6%, P = .033), SRSF2 (11.9% vs 5.6%, P = .08), TP53 (16.7% vs 1.2%, P < .001), and U2AF1 (17.9% vs 7.5%, P = .014) in AML-MRC were higher than those in de novo AML, while the rates of FLT3-ITD (3.6% vs 15.5%, P = .005), KIT (0% vs 6.2%, P = .046), WT1 (3.6% vs 9.9%, P = .077), NPM1 (1.2% vs 21.7%, P < .001), and CEBPA (4.8% vs 24.2%, P < .001) mutation were lower. The appearance of ASXL1, TP53, U2AF1, SRSF2, and SETBP1 mutation could predict AML-MRC-like features in de novo AML, which was related to older age (60 vs 51 years, P = .001), low WBC counts (4.7 × 109/L vs 11.6 × 109/L, P = .001), and inferior outcomes (median overall survival, 15 months vs not reached, P = .003). CONCLUSIONS The presence of AML-MRC-related mutations can reveal a subset of patients with de novo AML similar to patients with AML-MRC.
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Affiliation(s)
| | - Mingnan Jia
- Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Takeda R, Yokoyama K, Fukuyama T, Kawamata T, Ito M, Yusa N, Kasajima R, Shimizu E, Ohno N, Uchimaru K, Yamaguchi R, Imoto S, Miyano S, Tojo A. Repeated Lineage Switches in an Elderly Case of Refractory B-Cell Acute Lymphoblastic Leukemia With MLL Gene Amplification: A Case Report and Literature Review. Front Oncol 2022; 12:799982. [PMID: 35402256 PMCID: PMC8983914 DOI: 10.3389/fonc.2022.799982] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/07/2022] [Indexed: 12/11/2022] Open
Abstract
Lineage switches in acute leukemia occur rarely, and the underlying mechanisms are poorly understood. Herein, we report the case of an elderly patient with leukemia in which the leukemia started as B-cell acute lymphoblastic leukemia (B-ALL) and later changed to B- and T-cell mixed phenotype acute leukemia (MPAL) and acute myeloid leukemia (AML) during consecutive induction chemotherapy treatments. A 65-year-old woman was initially diagnosed with Philadelphia chromosome-negative B-ALL primarily expressing TdT/CD34/HLA-DR; more than 20% of the blasts were positive for CD19/CD20/cytoplasmic CD79a/cytoplasmic CD22/CD13/CD71.The blasts were negative for T-lineage markers and myeloperoxidase (MPO). Induction chemotherapy with the standard regimen for B-ALL resulted in primary induction failure. After the second induction chemotherapy regimen, the blasts were found to be B/T bi-phenotypic with additional expression of cytoplasmic CD3. A single course of clofarabine (the fourth induction chemotherapy regimen) dramatically reduced lymphoid marker levels. However, the myeloid markers (e.g., MPO) eventually showed positivity and the leukemia completely changed its lineage to AML. Despite subsequent intensive chemotherapy regimens designed for AML, the patient’s leukemia was uncontrollable and a new monoblastic population emerged. The patient died approximately 8 months after the initial diagnosis without experiencing stable remission. Several cytogenetic and genetic features were commonly identified in the initial diagnostic B-ALL and in the following AML, suggesting that this case should be classified as lineage switching leukemia rather than multiple simultaneous cancers (i.e., de novo B-ALL and de novo AML, or primary B-ALL and therapy-related myeloid neoplasm). A complex karyotype was persistently observed with a hemi-allelic loss of chromosome 17 (the location of the TP53 tumor suppressor gene). As the leukemia progressed, the karyotype became more complex, with the additional abnormalities. Sequential target sequencing revealed an increased variant allele frequency of TP53 mutation. Fluorescent in situ hybridization (FISH) revealed an increased number of mixed-lineage leukemia (MLL) genes, both before and after lineage conversion. In contrast, FISH revealed negativity for MLL rearrangements, which are well-known abnormalities associated with lineage switching leukemia and MPAL. To our best knowledge, this is the first reported case of acute leukemia presenting with lineage ambiguity and MLL gene amplification.
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Affiliation(s)
- Reina Takeda
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kazuaki Yokoyama
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- *Correspondence: Kazuaki Yokoyama, ; Arinobu Tojo,
| | - Tomofusa Fukuyama
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Cellular Therapy, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Toyotaka Kawamata
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Molecular Therapy, The Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Mika Ito
- Division of Molecular Therapy, The Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Nozomi Yusa
- Department of Applied Genomics, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Rika Kasajima
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Nobuhiro Ohno
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Molecular Therapy, The Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Department of Hematology, Kanto Rosai Hospital, Kanagawa, Japan
| | - Kaoru Uchimaru
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Science, Graduate School of the Frontier Science, The University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Arinobu Tojo
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Molecular Therapy, The Institute of Medical Science, University of Tokyo, Tokyo, Japan
- *Correspondence: Kazuaki Yokoyama, ; Arinobu Tojo,
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Richardson DR, Green SD, Foster MC, Zeidner JF. Secondary AML Emerging After Therapy with Hypomethylating Agents: Outcomes, Prognostic Factors, and Treatment Options. Curr Hematol Malig Rep 2021; 16:97-111. [PMID: 33609248 DOI: 10.1007/s11899-021-00608-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2021] [Indexed: 12/19/2022]
Abstract
PURPOSE OF REVIEW Secondary AML (s-AML) encompasses a distinct subgroup of AML with either therapy-related AML or AML arising from preexisting myeloid neoplasms. Despite recent advances in the treatment armamentarium of AML, outcomes remain poor in s-AML. The purpose of this review is to highlight distinct characteristics, prognostic factors, and treatment options for patients with s-AML. Further, we focus on a distinctly poor-risk subgroup of s-AML with previous exposure to hypomethylating agents (HMAs) and describe ongoing clinical trials in this patient population. RECENT FINDINGS CPX-351 (liposomal daunorubicin and cytarabine) is the first drug approved for s-AML and represents an advancement in the management of fit patients with this subtype of AML. Despite incremental improvement in remission rates and survival, long-term survival remains poor. Patients who have received prior HMAs for antecedent MDS rarely benefit from CPX-351 or other cytotoxic chemotherapy regimens. The approval of venetoclax in combination with azacitidine has led to a paradigm shift in the management of newly diagnosed older unfit AML patients; however, patients with s-AML and prior HMA therapy were excluded from the landmark randomized phase 3 study. Several early phase clinical trials with both low- and high-intensity therapies are ongoing for s-AML patients, though prior HMA exposure limits inclusion in many of these studies that include HMAs. Patients with s-AML previously treated with an HMA have dismal outcomes with standard therapeutic options and are under-represented in clinical trials. Trials investigating novel therapeutic options in this population are critically needed.
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Affiliation(s)
- Daniel R Richardson
- Lineberger Comprehensive Cancer Center, University of North Carolina, Houpt Building, Chapel Hill, NC, #7305, USA
| | - Steven D Green
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University, Indianapolis, IN, USA
| | - Matthew C Foster
- Lineberger Comprehensive Cancer Center, University of North Carolina, Houpt Building, Chapel Hill, NC, #7305, USA
| | - Joshua F Zeidner
- Lineberger Comprehensive Cancer Center, University of North Carolina, Houpt Building, Chapel Hill, NC, #7305, USA.
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6
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Genetics of progression from MDS to secondary leukemia. Blood 2021; 136:50-60. [PMID: 32430504 DOI: 10.1182/blood.2019000942] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 11/27/2019] [Indexed: 12/14/2022] Open
Abstract
Our understanding of the genetics of acute myeloid leukemia (AML) development from myelodysplastic syndrome (MDS) has advanced significantly as a result of next-generation sequencing technology. Although differences in cell biology and maturation exist between MDS and AML secondary to MDS, these 2 diseases are genetically related. MDS and secondary AML cells harbor mutations in many of the same genes and functional categories, including chromatin modification, DNA methylation, RNA splicing, cohesin complex, transcription factors, cell signaling, and DNA damage, confirming that they are a disease continuum. Differences in the frequency of mutated genes in MDS and secondary AML indicate that the order of mutation acquisition is not random during progression. In almost every case, disease progression is associated with clonal evolution, typically defined by the expansion or emergence of a subclone with a unique set of mutations. Monitoring tumor burden and clonal evolution using sequencing provides advantages over using the blast count, which underestimates tumor burden, and could allow for early detection of disease progression prior to clinical deterioration. In this review, we outline advances in the study of MDS to secondary AML progression, with a focus on the genetics of progression, and discuss the advantages of incorporating molecular genetic data in the diagnosis, classification, and monitoring of MDS to secondary AML progression. Because sequencing is becoming routine in the clinic, ongoing research is needed to define the optimal assay to use in different clinical situations and how the data can be used to improve outcomes for patients with MDS and secondary AML.
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7
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Montalban-Bravo G, Kanagal-Shamanna R, Class CA, Sasaki K, Ravandi F, Cortes JE, Daver N, Takahashi K, Short NJ, DiNardo CD, Jabbour E, Borthakur G, Naqvi K, Issa GC, Konopleva M, Khoury JD, Routbort M, Pierce S, Do KA, Bueso-Ramos C, Patel K, Kantarjian H, Garcia-Manero G, Kadia TM. Outcomes of acute myeloid leukemia with myelodysplasia related changes depend on diagnostic criteria and therapy. Am J Hematol 2020; 95:612-622. [PMID: 32112433 DOI: 10.1002/ajh.25769] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 02/20/2020] [Accepted: 02/27/2020] [Indexed: 02/03/2023]
Abstract
Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) is a heterogeneous disorder defined by multilineage dysplasia, myelodysplastic syndrome (MDS)-related karyotype, or history of prior MDS. We evaluated 415 patients with AML-MRC treated from 2013 to 2018 and analyzed their clinical outcomes based on the diagnostic criteria of AML-MRC, therapy type and mutation profile. Criteria for AML-MRC included: cytogenetic abnormalities (AML-MRC-C) in 243 (59%), prior history of MDS in 75 (18%) including 47 (11%) with previously untreated MDS (AML-MRC-H) and 28 (7%) with previously treated MDS (AML-MRC-TS), and 97 (23%) with multilineage dysplasia (AML-MRC-M). Median age was 70 years (range 18-94). Among 95 evaluable patients, a total of 37 (39%) had secondary-type (ASXL1, BCOR, EZH2, SF3B1, SRSF2, STAG2, U2AF1, ZRSR2) mutations. Mutations in ASXL1, BCOR, SF3B1, SRSF2, and U2AF1 tended to appear in dominant clones. By multivariate analysis, AML-MRC subtype, age and serum LDH levels were independent predictors of outcome, with patients with AML-MRC-M (HR 0.56, CI 0.38-0.84, P = .004) and AML-MRC-H having better OS. Compared to a cohort of 468 patients with AML without MRC, patients with AML-MRC-M/AML-MRC-H had similar outcomes to those with intermediate risk AML by European LeukemiaNet criteria. Intensive therapy was associated with improved OS in patients with AML-MRC-M (HR 0.42, CI 0.19-0.94, P = .036) and with improved EFS in AML-MRC-M and AML-MRC-H (HR 0.26, CI 0.10-0.63, P = .003). This data suggests that not all diagnostic criteria for AML-MRC define high-risk patients and that specific subgroups may benefit from different therapeutic interventions.
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Affiliation(s)
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Caleb A Class
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Koji Sasaki
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jorge E Cortes
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Naval Daver
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Nicholas J Short
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Courtney D DiNardo
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Gautam Borthakur
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Kiran Naqvi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ghayas C Issa
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Joseph D Khoury
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Mark Routbort
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sherry Pierce
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Kim-Anh Do
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Carlos Bueso-Ramos
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Keyur Patel
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Hagop Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Guillermo Garcia-Manero
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Tapan M Kadia
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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An Unusually Short Latent Period of Therapy-Related Myeloid Neoplasm Harboring a Rare MLL-EP300 Rearrangement: Case Report and Literature Review. Case Rep Hematol 2019; 2019:4532434. [PMID: 31662917 PMCID: PMC6791222 DOI: 10.1155/2019/4532434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 09/13/2019] [Indexed: 12/15/2022] Open
Abstract
Therapy-related myeloid neoplasm (t-MN) is a late and lethal complication induced by chemotherapy and/or radiation therapy. Hematological malignancy is one of the most common primary diseases in patients with t-MN. However, the occurrence of t-MN in adult T-cell leukemia/lymphoma (ATL) patients is rarely reported, possibly due to the dismal prognosis of ATL per se. Here, we report a 62-year-old female who developed t-MN only three months after the completion of conventional chemotherapy and anti-CCR4 antibody for ATL acute type. The patient presented with persistent fever and monocytosis without any evidence of infectious diseases. Bone marrow examinations revealed chronic myelomonocytic leukemia-like disease with a chromosomal translocation of t(11;22)(q23;q13) as a solo cytogenetic abnormality, resulting in the diagnosis of t-MN. Next-generation sequencing analysis identified a rare chimeric transcript, MLL-EP300, without any additional somatic mutations. Although the patient underwent allogenic hematopoietic stem cell transplantation, she died of viral encephalomyelitis at 7 months after diagnosis of t-MN. Since recent therapeutic advances have extended the survival of patients with ATL, further evaluation of the long-term risks of developing t-MN in these patients is warranted.
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9
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Castelli G, Pelosi E, Testa U. Emerging Therapies for Acute Myelogenus Leukemia Patients Targeting Apoptosis and Mitochondrial Metabolism. Cancers (Basel) 2019; 11:E260. [PMID: 30813354 PMCID: PMC6406361 DOI: 10.3390/cancers11020260] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 02/14/2019] [Indexed: 02/06/2023] Open
Abstract
Acute Myelogenous Leukemia (AML) is a malignant disease of the hematopoietic cells, characterized by impaired differentiation and uncontrolled clonal expansion of myeloid progenitors/precursors, resulting in bone marrow failure and impaired normal hematopoiesis. AML comprises a heterogeneous group of malignancies, characterized by a combination of different somatic genetic abnormalities, some of which act as events driving leukemic development. Studies carried out in the last years have shown that AML cells invariably have abnormalities in one or more apoptotic pathways and have identified some components of the apoptotic pathway that can be targeted by specific drugs. Clinical results deriving from studies using B-cell lymphoma 2 (BCL-2) inhibitors in combination with standard AML agents, such as azacytidine, decitabine, low-dose cytarabine, provided promising results and strongly support the use of these agents in the treatment of AML patients, particularly of elderly patients. TNF-related apoptosis-inducing ligand (TRAIL) and its receptors are frequently deregulated in AML patients and their targeting may represent a promising strategy for development of new treatments. Altered mitochondrial metabolism is a common feature of AML cells, as supported through the discovery of mutations in the isocitrate dehydrogenase gene and in mitochondrial electron transport chain and of numerous abnormalities of oxidative metabolism existing in AML subgroups. Overall, these observations strongly support the view that the targeting of mitochondrial apoptotic or metabolic machinery is an appealing new therapeutic perspective in AML.
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Affiliation(s)
- Germana Castelli
- Department of Oncology, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy.
| | - Elvira Pelosi
- Department of Oncology, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy.
| | - Ugo Testa
- Department of Oncology, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy.
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10
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MDS overlap disorders and diagnostic boundaries. Blood 2019; 133:1086-1095. [PMID: 30670443 DOI: 10.1182/blood-2018-10-844670] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 12/11/2018] [Indexed: 12/13/2022] Open
Abstract
Myelodysplastic syndromes (MDS) are clonal diseases defined by clinical, morphologic, and genetic features often shared by related myeloid disorders. The diagnostic boundaries between these diseases can be arbitrary and not necessarily reflective of underlying disease biology or outcomes. In practice, measures that distinguish MDS from related disorders may be difficult to quantify and can vary as disease progression occurs. Patients may harbor findings that are not consistent with a single diagnostic category. Several overlap disorders have been formally described, such as the myelodysplastic/myeloproliferative neoplasms (MDS/MPNs). These disorders are characterized by hematopoietic dysplasia with increased proliferation of monocytes, neutrophils, or platelets. They may have mutational profiles that distinguish them from the disorders they resemble and reflect important differences in pathophysiology. MDS also shares diagnostic borders with other diseases. For example, aplastic anemia and hypoplastic MDS can be difficult to distinguish in patients with pancytopenia and bone marrow hypocellularity. Genetic features may help in this regard, because they can identify differences in prognosis and risk of progression. The boundary between MDS and secondary acute myeloid leukemia (sAML) is arbitrarily defined and has been redefined over the years. Genetic studies have demonstrated that sAML clones can precede clinical progression from MDS by many months, suggesting that MDS with excess blasts could be viewed as an overlap between a dysplastic bone marrow failure syndrome and an oligoblastic leukemia. This review will describe the diagnostic boundaries between MDS, MDS/MPNs, sAML, clonal hematopoiesis of indeterminate potential, clonal cytopenia of undetermined significance, and aplastic anemia and how genetic approaches may help to better define them.
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