1
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Jian J, Yuan C, Hao H. Identifying key genes and functionally enriched pathways in acute myeloid leukemia by weighted gene co-expression network analysis. J Appl Genet 2024:10.1007/s13353-024-00881-0. [PMID: 38977582 DOI: 10.1007/s13353-024-00881-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 05/23/2024] [Accepted: 05/31/2024] [Indexed: 07/10/2024]
Abstract
Acute myeloid leukemia (AML) is characterized by the uncontrolled proliferation of myeloid leukemia cells in the bone marrow and other hematopoietic tissues and is highly heterogeneous. While with the progress of sequencing technology, understanding of the AML-related biomarkers is still incomplete. The purpose of this study is to identify potential biomarkers for prognosis of AML. Based on WGCNA analysis of gene mutation expression, methylation level distribution, mRNA expression, and AML-related genes in public databases were employed for investigating potential biomarkers for the prognosis of AML. This study screened a total of 6153 genes by analyzing various changes in 103 acute myeloid leukemia (AML) samples, including gene mutation expression, methylation level distribution, mRNA expression, and AML-related genes in public databases. Moreover, seven AML-related co-expression modules were mined by WGCNA analysis, and twelve biomarkers associated with the AML prognosis were identified from each top 10 genes of the seven co-expression modules. The AML samples were then classified into two subgroups, the prognosis of which is significantly different, based on the expression of these twelve genes. The differentially expressed 7 genes of two subgroups (HOXB-AS3, HOXB3, SLC9C2, CPNE8, MEG8, S1PR5, MIR196B) are mainly involved in glucose metabolism, glutathione biosynthesis, small G protein-mediated signal transduction, and the Rap1 signaling pathway. With the utilization of WGCNA mining, seven gene co-expression modules were identified from the TCGA database, and there are unreported genes that may be potential driver genes of AML and may be the direction to identify the possible molecular signatures to predict survival of AML patients and help guide experiments for potential clinical drug targets.
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Affiliation(s)
- Jimo Jian
- Qilu Hospital of Shandong University, Qingdao, 266035, Shandong, China
- Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Chenglu Yuan
- Qilu Hospital of Shandong University, Qingdao, 266035, Shandong, China
| | - Hongyuan Hao
- Qilu Hospital of Shandong University, Qingdao, 266035, Shandong, China.
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2
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Ozga M, Nicolet D, Mrózek K, Yilmaz AS, Kohlschmidt J, Larkin KT, Blachly JS, Oakes CC, Buss J, Walker CJ, Orwick S, Jurinovic V, Rothenberg-Thurley M, Dufour A, Schneider S, Sauerland MC, Görlich D, Krug U, Berdel WE, Woermann BJ, Hiddemann W, Braess J, Subklewe M, Spiekermann K, Carroll AJ, Blum WG, Powell BL, Kolitz JE, Moore JO, Mayer RJ, Larson RA, Uy GL, Stock W, Metzeler KH, Grimes HL, Byrd JC, Salomonis N, Herold T, Mims AS, Eisfeld AK. Sex-associated differences in frequencies and prognostic impact of recurrent genetic alterations in adult acute myeloid leukemia (Alliance, AMLCG). Leukemia 2024; 38:45-57. [PMID: 38017103 PMCID: PMC10776397 DOI: 10.1038/s41375-023-02068-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 09/25/2023] [Accepted: 10/09/2023] [Indexed: 11/30/2023]
Abstract
Clinical outcome of patients with acute myeloid leukemia (AML) is associated with demographic and genetic features. Although the associations of acquired genetic alterations with patients' sex have been recently analyzed, their impact on outcome of female and male patients has not yet been comprehensively assessed. We performed mutational profiling, cytogenetic and outcome analyses in 1726 adults with AML (749 female and 977 male) treated on frontline Alliance for Clinical Trials in Oncology protocols. A validation cohort comprised 465 women and 489 men treated on frontline protocols of the German AML Cooperative Group. Compared with men, women more often had normal karyotype, FLT3-ITD, DNMT3A, NPM1 and WT1 mutations and less often complex karyotype, ASXL1, SRSF2, U2AF1, RUNX1, or KIT mutations. More women were in the 2022 European LeukemiaNet intermediate-risk group and more men in adverse-risk group. We found sex differences in co-occurring mutation patterns and prognostic impact of select genetic alterations. The mutation-associated splicing events and gene-expression profiles also differed between sexes. In patients aged <60 years, SF3B1 mutations were male-specific adverse outcome prognosticators. We conclude that sex differences in AML-associated genetic alterations and mutation-specific differential splicing events highlight the importance of patients' sex in analyses of AML biology and prognostication.
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Affiliation(s)
- Michael Ozga
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA.
| | - Ayse S Yilmaz
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Karilyn T Larkin
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - James S Blachly
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Christopher C Oakes
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Jill Buss
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Christopher J Walker
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Shelley Orwick
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Vindi Jurinovic
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Maja Rothenberg-Thurley
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Annika Dufour
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Stephanie Schneider
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- Institute of Human Genetics, University Hospital, LMU Munich, Munich, Germany
| | | | - Dennis Görlich
- Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany
| | - Utz Krug
- Department of Medicine 3, Klinikum Leverkusen, Leverkusen, Germany
| | - Wolfgang E Berdel
- Department of Medicine, Hematology and Oncology, University of Münster, Münster, Germany
| | | | - Wolfgang Hiddemann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jan Braess
- Department of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg, Germany
| | - Marion Subklewe
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Karsten Spiekermann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Bayard L Powell
- Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY, USA
| | - Joseph O Moore
- Duke Cancer Institute, Duke University Health System, Durham, NC, USA
| | - Robert J Mayer
- Department of Medical Oncology, Dana-Farber/Partners CancerCare, Boston, MA, USA
| | | | - Geoffrey L Uy
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Wendy Stock
- University of Chicago Medical Center, Chicago, IL, USA
| | - Klaus H Metzeler
- Department of Hematology, Cellular Therapy, and Hemostaseology, Leipzig University Hospital, Leipzig, Germany
| | - H Leighton Grimes
- Division of Immunobiology, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
| | - John C Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Nathan Salomonis
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
- Division of Biomedical Informatics, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, OH, USA
| | - Tobias Herold
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Alice S Mims
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Ann-Kathrin Eisfeld
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA.
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3
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Hou S, Wang X, Guo T, Lan Y, Yuan S, Yang S, Zhao F, Fang A, Liu N, Yang W, Chu Y, Jiang E, Cheng T, Sun X, Yuan W. PHF6 maintains acute myeloid leukemia via regulating NF-κB signaling pathway. Leukemia 2023; 37:1626-1637. [PMID: 37393343 PMCID: PMC10400421 DOI: 10.1038/s41375-023-01953-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 05/29/2023] [Accepted: 06/21/2023] [Indexed: 07/03/2023]
Abstract
Acute myeloid leukemia (AML) is a major hematopoietic malignancy characterized by the accumulation of immature and abnormally differentiated myeloid cells in bone marrow. Here with in vivo and in vitro models, we demonstrate that the Plant homeodomain finger gene 6 (PHF6) plays an important role in apoptosis and proliferation in myeloid leukemia. Phf6 deficiency could delay the progression of RUNX1-ETO9a and MLL-AF9-induced AML in mice. PHF6 depletion inhibited the NF-κB signaling pathways by disrupting the PHF6-p50 complex and partially inhibiting the nuclear translocation of p50 to suppress the expression of BCL2. Treating PHF6 over-expressed myeloid leukemia cells with NF-κB inhibitor (BAY11-7082) significantly increased their apoptosis and decreased their proliferation. Taken together, in contrast to PHF6 as a tumor suppressor in T-ALL as reported, we found that PHF6 also plays a pro-oncogenic role in myeloid leukemia, and thus potentially to be a therapeutic target for treating myeloid leukemia patients.
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Affiliation(s)
- Shuaibing Hou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Xiaomin Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100039, China.
- Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
| | - Tengxiao Guo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yanjie Lan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Shengnan Yuan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Shuang Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Fei Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Aizhong Fang
- Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Na Liu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Wanzhu Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Yajing Chu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Xiaojian Sun
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Weiping Yuan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
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4
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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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5
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Mrózek K, Kohlschmidt J, Blachly JS, Nicolet D, Carroll AJ, Archer KJ, Mims AS, Larkin KT, Orwick S, Oakes CC, Kolitz JE, Powell BL, Blum WG, Marcucci G, Baer MR, Uy GL, Stock W, Byrd JC, Eisfeld AK. Outcome prediction by the 2022 European LeukemiaNet genetic-risk classification for adults with acute myeloid leukemia: an Alliance study. Leukemia 2023; 37:788-798. [PMID: 36823396 PMCID: PMC10079544 DOI: 10.1038/s41375-023-01846-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/03/2023] [Accepted: 02/08/2023] [Indexed: 02/25/2023]
Abstract
Recently, the European LeukemiaNet (ELN) revised its genetic-risk classification of acute myeloid leukemia (AML). We categorized 1637 adults with AML treated with cytarabine/anthracycline regimens according to the 2022 and 2017 ELN classifications. Compared with the 2017 ELN classification, 2022 favorable group decreased from 40% to 35% and adverse group increased from 37% to 41% of patients. The 2022 genetic-risk groups seemed to accurately reflect treatment outcomes in all patients and patients aged <60 years, but in patients aged ≥60 years, relapse rates, disease-free (DFS) and overall (OS) survival were not significantly different between intermediate and adverse groups. In younger African-American patients, DFS and OS did not differ between intermediate-risk and adverse-risk patients nor did DFS between favorable and intermediate groups. In Hispanic patients, DFS and OS did not differ between favorable and intermediate groups. Outcome prediction abilities of 2022 and 2017 ELN classifications were similar. Among favorable-risk patients, myelodysplasia-related mutations did not affect patients with CEBPAbZIP mutations or core-binding factor AML, but changed risk assignment of NPM1-mutated/FLT3-ITD-negative patients to intermediate. NPM1-mutated patients with adverse-risk cytogenetic abnormalities were closer prognostically to the intermediate than adverse group. Our analyses both confirm and challenge prognostic significance of some of the newly added markers.
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Grants
- UG1 CA233180 NCI NIH HHS
- U10 CA180821 NCI NIH HHS
- UG1 CA189850 NCI NIH HHS
- P30 CA033572 NCI NIH HHS
- UG1 CA233247 NCI NIH HHS
- R35 CA197734 NCI NIH HHS
- UG1 CA233339 NCI NIH HHS
- P50 CA140158 NCI NIH HHS
- UG1 CA233331 NCI NIH HHS
- U10 CA180882 NCI NIH HHS
- UG1 CA233338 NCI NIH HHS
- U24 CA196171 NCI NIH HHS
- P30 CA016058 NCI NIH HHS
- UG1 CA233327 NCI NIH HHS
- Leukemia and Lymphoma Society (Leukemia & Lymphoma Society)
- Aptevo, Daiichi Sankyo, Glycomemetics, Kartos Pharmaceuticals, Xencor and Genentech
- U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute (National Cancer Institute Division of Cancer Epidemiology and Genetics)
- BLP is a consultant for Cornerstone Pharmaceuticals and reported research funding from Ambit Biosciences, Cornerstone, Genentech, Hoffman LaRoche, Jazz Pharmaceuticals, Novartis and Pfizer.
- WGB reported honoraria from Abbvie, Syndax, and AmerisourceBergen and research funding from Celyad Oncology, Nkarta, Xencor, Forma Therapeutics and Leukemia and Lymphoma Society.
- Agios Savvas Regional Cancer Hospital
- GLU is a consultant for AbbVie, Agios, Jazz, GlaxoSmithKline, Genentech, and Novartis; reported honoraria from Astellas and research funding from Macrogenics.
- JCB consults for Astellas, AstraZeneca, Novartis, Pharmacyclics, Syndax and Trillium; receives honoraria from Astellas, AstraZeneca, Novartis, Pharmacyclics, Syndax and Trillium; he is a Chairman of the Scientific Advisory Board of Vincerx Pharmaceuticals and a member of advisory committee of Newave; and is a current equity holder of Vincerx Pharmaceuticals.
- U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
- American Cancer Society (American Cancer Society, Inc.)
- Leukemia Research Foundation (LRF)
- Pelotonia
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Affiliation(s)
- Krzysztof Mrózek
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
| | - Jessica Kohlschmidt
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - James S Blachly
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Deedra Nicolet
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kellie J Archer
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Alice S Mims
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Karilyn T Larkin
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Shelley Orwick
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Christopher C Oakes
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY, USA
| | - Bayard L Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| | | | - Guido Marcucci
- Department of Hematological Malignancies Translational Science, Gehr Family Center for Leukemia Research, City of Hope Medical Center and Beckman Research Institute, Duarte, CA, USA
| | - Maria R Baer
- University of Maryland Greenebaum Comprehensive Cancer Center, Baltimore, MD, USA
| | - Geoffrey L Uy
- Washington University School of Medicine, St. Louis, MO, USA
| | - Wendy Stock
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - John C Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Ann-Kathrin Eisfeld
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA.
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
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6
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Ragusa D, Dijkhuis L, Pina C, Tosi S. Mechanisms associated with t(7;12) acute myeloid leukaemia: from genetics to potential treatment targets. Biosci Rep 2023; 43:BSR20220489. [PMID: 36622782 PMCID: PMC9894016 DOI: 10.1042/bsr20220489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/04/2023] [Accepted: 01/09/2023] [Indexed: 01/10/2023] Open
Abstract
Acute myeloid leukaemia (AML), typically a disease of elderly adults, affects 8 children per million each year, with the highest paediatric incidence in infants aged 0-2 of 18 per million. Recurrent cytogenetic abnormalities contribute to leukaemia pathogenesis and are an important determinant of leukaemia classification. The t(7;12)(q36;p13) translocation is a high-risk AML subtype exclusively associated with infants and represents the second most common abnormality in this age group. Mechanisms of t(7;12) leukaemogenesis remain poorly understood. The translocation relocates the entire MNX1 gene within the ETV6 locus, but a fusion transcript is present in only half of the patients and its significance is unclear. Instead, research has focused on ectopic MNX1 expression, a defining feature of t(7;12) leukaemia, which has nevertheless failed to produce transformation in conventional disease models. Recently, advances in genome editing technologies have made it possible to recreate the t(7;12) rearrangement at the chromosomal level. Together with recent studies of MNX1 involvement using murine in vivo, in vitro, and organoid-based leukaemia models, specific investigation on the biology of t(7;12) can provide new insights into this AML subtype. In this review, we provide a comprehensive up-to-date analysis of the biological features of t(7;12), and discuss recent advances in mechanistic understanding of the disease which may deliver much-needed therapeutic opportunities to a leukaemia of notoriously poor prognosis.
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Affiliation(s)
- Denise Ragusa
- College of Health, Medicine and Life Sciences, Division of Biosciences, Brunel University London, Uxbridge, UB8 3PH, U.K
- Centre for Genome Engineering and Maintenance (CenGEM), Brunel University London, Kingston Lane, UB8 3PH, U.K
| | - Liza Dijkhuis
- College of Health, Medicine and Life Sciences, Division of Biosciences, Brunel University London, Uxbridge, UB8 3PH, U.K
| | - Cristina Pina
- College of Health, Medicine and Life Sciences, Division of Biosciences, Brunel University London, Uxbridge, UB8 3PH, U.K
- Centre for Genome Engineering and Maintenance (CenGEM), Brunel University London, Kingston Lane, UB8 3PH, U.K
| | - Sabrina Tosi
- College of Health, Medicine and Life Sciences, Division of Biosciences, Brunel University London, Uxbridge, UB8 3PH, U.K
- Centre for Genome Engineering and Maintenance (CenGEM), Brunel University London, Kingston Lane, UB8 3PH, U.K
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7
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Zhao H, Lu J, Yan T, Han F, Sun J, Yin X, Chen L, Shen C, Wunderlich M, Yun W, Yang L, Chen L, Su D, Bohlander SK, Wang F, Mulloy JC, Li C, Chen J, Huang H, Jiang X. Opioid receptor signaling suppresses leukemia through both catalytic and non-catalytic functions of TET2. Cell Rep 2022; 38:110253. [DOI: 10.1016/j.celrep.2021.110253] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 09/24/2021] [Accepted: 12/21/2021] [Indexed: 01/12/2023] Open
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8
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Racial and ethnic survival disparities in patients with haematological malignancies in the USA: time to stop ignoring the numbers. THE LANCET HAEMATOLOGY 2021; 8:e947-e954. [DOI: 10.1016/s2352-3026(21)00303-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 09/05/2021] [Accepted: 09/21/2021] [Indexed: 12/17/2022]
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9
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Molecular associations, clinical, and prognostic implications of PTPN11 mutations in acute myeloid leukemia (Alliance). Blood Adv 2021; 6:1371-1380. [PMID: 34847232 PMCID: PMC8905707 DOI: 10.1182/bloodadvances.2021006242] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/10/2021] [Indexed: 12/04/2022] Open
Abstract
Patients with N-terminal SH2 domain PTPN11 mutations had an early death (<30 days) more often than those with phosphatase domain mutations. PTPN11 mutations are associated with inferior outcomes in AML patients with wild-type NPM1.
Prognostic factors associated with chemotherapy outcomes in patients with acute myeloid leukemia (AML) are extensively reported, and one gene whose mutation is recognized as conferring resistance to several newer targeted therapies is protein tyrosine phosphatase non-receptor type 11 (PTPN11). The broader clinical implications of PTPN11 mutations in AML are still not well understood. The objective of this study was to determine which cytogenetic abnormalities and gene mutations co-occur with PTPN11 mutations and how PTPN11 mutations affect outcomes of patients treated with intensive chemotherapy. We studied 1725 patients newly diagnosed with AML (excluding acute promyelocytic leukemia) enrolled onto the Cancer and Leukemia Group B/Alliance for Clinical Trials in Oncology trials. In 140 PTPN11-mutated patient samples, PTPN11 most commonly co-occurred with mutations in NPM1, DNMT3A, and TET2. PTPN11 mutations were relatively common in patients with an inv(3)(q21q26)/t(3;3)(q21;q26) and a normal karyotype but were very rare in patients with typical complex karyotype and core-binding factor AML. Mutations in the N-terminal SH2 domain of PTPN11 were associated with a higher early death rate than those in the phosphatase domain. PTPN11 mutations did not affect outcomes of NPM1-mutated patients, but these patients were less likely to have co-occurring kinase mutations (ie, FLT3-ITD), suggesting activation of overlapping signaling pathways. However, in AML patients with wild-type NPM1, PTPN11 mutations were associated with adverse patient outcomes, providing a rationale to study the biology and treatment approaches in this molecular group. This trial was registered at www.clinicaltrials.gov as #NCT00048958 (CALGB 8461), #NCT00899223 (CALGB 9665), and #NCT00900224 (CALGB 20202).
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10
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Parinet V, Chapiro E, Bidet A, Gaillard B, Maarek O, Simon L, Lefebvre C, Defasque S, Mozziconacci MJ, Quinquenel A, Decamp M, Lifermann F, Ali-Ammar N, Maillon A, Baron M, Martin M, Struski S, Penther D, Micol JB, Auger N, Bilhou-Nabera C, Martignoles JA, Tondeur S, Nguyen-Khac F, Hirsch P, Roos-Weil D. Myeloid malignancies with translocation t(4;12)(q11-13;p13): molecular landscape, clonal hierarchy and clinical outcomes. J Cell Mol Med 2021; 25:9557-9566. [PMID: 34492730 PMCID: PMC8505829 DOI: 10.1111/jcmm.16895] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/09/2021] [Accepted: 08/13/2021] [Indexed: 12/28/2022] Open
Abstract
Translocation t(4;12)(q11‐13;p13) is a recurrent but very rare chromosomal aberration in acute myeloid leukaemia (AML) resulting in the non‐constant expression of a CHIC2/ETV6 fusion transcript. We report clinico‐biological features, molecular characteristics and outcomes of 21 cases of t(4;12) including 19 AML and two myelodysplastic syndromes (MDS). Median age at the time of t(4;12) was 78 years (range, 56–88). Multilineage dysplasia was described in 10 of 19 (53%) AML cases and CD7 and/or CD56 expression in 90%. FISH analyses identified ETV6 and CHIC2 region rearrangements in respectively 18 of 18 and 15 of 17 studied cases. The t(4;12) was the sole cytogenetic abnormality in 48% of cases. The most frequent associated mutated genes were ASXL1 (n = 8/16, 50%), IDH1/2 (n = 7/16, 44%), SRSF2 (n = 5/16, 31%) and RUNX1 (n = 4/16, 25%). Interestingly, concurrent FISH and molecular analyses showed that t(4;12) can be, but not always, a founding oncogenic event. Median OS was 7.8 months for the entire cohort. In the 16 of 21 patients (76%) who received antitumoral treatment, overall response and first complete remission rates were 37% and 31%, respectively. Median progression‐free survival in responders was 13.7 months. Finally, t(4;12) cases harboured many characteristics of AML with myelodysplasia‐related changes (multilineage dysplasia, MDS‐related cytogenetic abnormalities, frequent ASXL1 mutations) and a poor prognosis.
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Affiliation(s)
- Vincent Parinet
- Sorbonne Université, Service d'Hématologie Clinique, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Elise Chapiro
- Sorbonne Université, Unité de Cytogénétique, Hôpital Pitié-Salpêtrière, APHP, Paris, France.,Centre de Recherche des Cordeliers, Inserm, Université de Paris, Cell Death and Drug Resistance in Lymphoproliferative Disorders Team, Sorbonne Université, Paris, France
| | - Audrey Bidet
- Laboratoire d'Hématologie Biologique, CHU Bordeaux, Bordeaux, France
| | - Baptiste Gaillard
- Laboratoire d'Hématologie, Hôpital Robert Debré, Reims, France.,Laboratoire de cytogénétique, Centre Hospitalier de Troyes, Troyes, France
| | - Odile Maarek
- Hematology Laboratory, Hôpital Saint-Louis, APHP, University of Paris, Paris, France
| | - Laurence Simon
- Sorbonne Université, Service d'Hématologie Clinique, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Christine Lefebvre
- Laboratoire de Génétique des Hémopathies, CHU Grenoble Alpes, Grenoble, France
| | - Sabine Defasque
- Secteur cytogénétique hématologique, Laboratoire CERBA, Saint-Ouen l'Aumône, France
| | | | - Anne Quinquenel
- CHU de Reims, Hôpital Robert Debré, Reims, France.,Unité de Formation et de recherche (UFR) Médecine, Université Reims Champagne-Ardenne, Reims, France
| | | | | | - Nadia Ali-Ammar
- Sorbonne Université, Service d'Hématologie Clinique, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Agathe Maillon
- Sorbonne Université, Unité de Cytogénétique, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Marine Baron
- Sorbonne Université, Service d'Hématologie Clinique, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Mélanie Martin
- Laboratoire de Cytogénétique, CHU Caremeau, Nîmes, France
| | - Stéphanie Struski
- Laboratoire d'hématologie/Plateau Technique Hématologie-Oncologie, IUCT Oncopole, Toulouse, France
| | - Dominique Penther
- Laboratoire de Génétique Oncologique, CLCC Henri Becquerel & INSERM U1245, Rouen, France
| | - Jean-Baptiste Micol
- Hematology Department, Gustave Roussy, Paris-Saclay University, Villejuif, France
| | - Nathalie Auger
- Laboratoire de Cytogénétique, Institut Gustave Roussy, Villejuif, France
| | - Chrystèle Bilhou-Nabera
- Service d'Hématologie Biologique, Unité de Cytogénétique onco-hématologique, Hôpital Saint-Antoine, APHP, Sorbonne Université, Paris, France.,Département d'hématologie biologique, INSERM, Centre de Recherche Saint-Antoine Sorbonne, Université, AP-HP, Hôpital Saint-Antoine, Paris, France
| | - Jean-Alain Martignoles
- Département d'hématologie biologique, INSERM, Centre de Recherche Saint-Antoine Sorbonne, Université, AP-HP, Hôpital Saint-Antoine, Paris, France
| | - Sylvie Tondeur
- Laboratoire de Génétique des Hémopathies, CHU Grenoble Alpes, Grenoble, France
| | - Florence Nguyen-Khac
- Sorbonne Université, Unité de Cytogénétique, Hôpital Pitié-Salpêtrière, APHP, Paris, France.,Centre de Recherche des Cordeliers, Inserm, Université de Paris, Cell Death and Drug Resistance in Lymphoproliferative Disorders Team, Sorbonne Université, Paris, France
| | - Pierre Hirsch
- Département d'hématologie biologique, INSERM, Centre de Recherche Saint-Antoine Sorbonne, Université, AP-HP, Hôpital Saint-Antoine, Paris, France
| | - Damien Roos-Weil
- Sorbonne Université, Service d'Hématologie Clinique, Hôpital Pitié-Salpêtrière, APHP, Paris, France.,Centre de Recherche des Cordeliers, Inserm, Université de Paris, Cell Death and Drug Resistance in Lymphoproliferative Disorders Team, Sorbonne Université, Paris, France
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11
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Papuc SM, Erbescu A, Cisleanu D, Ozunu D, Enache C, Dumitru I, Lupoaia Andrus E, Gaman M, Popov VM, Dobre M, Stanca O, Angelescu S, Berbec N, Colita A, Vladareanu AM, Bumbea H, Arghir A. Delineation of Molecular Lesions in Acute Myeloid Leukemia Patients at Diagnosis: Integrated Next Generation Sequencing and Cytogenomic Studies. Genes (Basel) 2021; 12:genes12060846. [PMID: 34070898 PMCID: PMC8229708 DOI: 10.3390/genes12060846] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/26/2021] [Accepted: 05/28/2021] [Indexed: 12/19/2022] Open
Abstract
Acute myeloid leukemia (AML) is a heterogeneous disorder characterized by a wide range of genetic defects. Cytogenetics, molecular and genomic technologies have proved to be helpful for deciphering the mutational landscape of AML and impacted clinical practice. Forty-eight new AML patients were investigated with an integrated approach, including classical and molecular cytogenetics, array-based comparative genomic hybridization and targeted next generation sequencing (NGS). Various genetic defects were identified in all the patients using our strategy. Targeted NGS revealed known pathogenic mutations as well as rare or unreported variants with deleterious predictions. The mutational screening of the normal karyotype (NK) group identified clinically relevant variants in 86.2% of the patients; in the abnormal cytogenetics group, the mutation detection rate was 87.5%. Overall, the highest mutation prevalence was observed for the NPM1 gene, followed by DNMT3A, FLT3 and NRAS. An unexpected co-occurrence of KMT2A translocation and DNMT3A-R882 was identified; alterations of these genes, which are involved in epigenetic regulation, are considered to be mutually exclusive. A microarray analysis detected CNVs in 25% of the NK AML patients. In patients with complex karyotypes, the microarray analysis made a significant contribution toward the accurate characterization of chromosomal defects. In summary, our results show that the integration of multiple investigative strategies increases the detection yield of genetic defects with potential clinical relevance.
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Affiliation(s)
- Sorina Mihaela Papuc
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
| | - Alina Erbescu
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
| | - Diana Cisleanu
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Diana Ozunu
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
| | - Cristina Enache
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Ion Dumitru
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Elena Lupoaia Andrus
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Mihaela Gaman
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | | | - Maria Dobre
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
| | - Oana Stanca
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Coltea Clinical Hospital, 030167 Bucharest, Romania
| | - Silvana Angelescu
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Coltea Clinical Hospital, 030167 Bucharest, Romania
| | - Nicoleta Berbec
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Coltea Clinical Hospital, 030167 Bucharest, Romania
| | - Andrei Colita
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Coltea Clinical Hospital, 030167 Bucharest, Romania
| | - Ana-Maria Vladareanu
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Horia Bumbea
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Aurora Arghir
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
- Correspondence: ; Tel.: +40-2-1319-2732-207; Fax: +40-2-1319-4528
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12
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de Oliveira Lisboa M, Brofman PRS, Schmid-Braz AT, Rangel-Pozzo A, Mai S. Chromosomal Instability in Acute Myeloid Leukemia. Cancers (Basel) 2021; 13:cancers13112655. [PMID: 34071283 PMCID: PMC8198625 DOI: 10.3390/cancers13112655] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/23/2021] [Accepted: 05/26/2021] [Indexed: 12/20/2022] Open
Abstract
Chromosomal instability (CIN), the increasing rate in which cells acquire new chromosomal alterations, is one of the hallmarks of cancer. Many studies highlighted CIN as an important mechanism in the origin, progression, and relapse of acute myeloid leukemia (AML). The ambivalent feature of CIN as a cancer-promoting or cancer-suppressing mechanism might explain the prognostic variability. The latter, however, is described in very few studies. This review highlights the important CIN mechanisms in AML, showing that CIN signatures can occur largely in all the three major AML types (de novo AML, secondary-AML, and therapy-related-AML). CIN features in AML could also be age-related and reflect the heterogeneity of the disease. Although most of these abnormalities show an adverse prognostic value, they also offer a strong new perspective on personalized therapy approaches, which goes beyond assessing CIN in vitro in patient tumor samples to predict prognosis. Current and emerging AML therapies are exploring CIN to improve AML treatment, which includes blocking CIN or increasing CIN beyond the limit threshold to induce cell death. We argue that the characterization of CIN features, not included yet in the routine diagnostic of AML patients, might provide a better stratification of patients and be extended to a more personalized therapeutic approach.
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Affiliation(s)
- Mateus de Oliveira Lisboa
- Core for Cell Technology, School of Medicine, Pontifícia Universidade Católica do Paraná—PUCPR, Curitiba 80215-901, Paraná, Brazil; (M.d.O.L.); (P.R.S.B.)
| | - Paulo Roberto Slud Brofman
- Core for Cell Technology, School of Medicine, Pontifícia Universidade Católica do Paraná—PUCPR, Curitiba 80215-901, Paraná, Brazil; (M.d.O.L.); (P.R.S.B.)
| | - Ana Teresa Schmid-Braz
- Hospital das Clínicas, Universidade Federal do Paraná, Curitiba 80060-240, Paraná, Brazil;
| | - Aline Rangel-Pozzo
- Department of Physiology and Pathophysiology, University of Manitoba, Cell Biology, CancerCare Manitoba Research Institute, Winnipeg, MB R3C 2B7, Canada
- Correspondence: (A.R.-P.); (S.M.); Tel.: +1-(204)787-4125 (S.M.)
| | - Sabine Mai
- Department of Physiology and Pathophysiology, University of Manitoba, Cell Biology, CancerCare Manitoba Research Institute, Winnipeg, MB R3C 2B7, Canada
- Correspondence: (A.R.-P.); (S.M.); Tel.: +1-(204)787-4125 (S.M.)
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13
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Combination of dasatinib with chemotherapy in previously untreated core binding factor acute myeloid leukemia: CALGB 10801. Blood Adv 2021; 4:696-705. [PMID: 32092139 DOI: 10.1182/bloodadvances.2019000492] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 01/03/2020] [Indexed: 12/14/2022] Open
Abstract
Acute myeloid leukemia (AML) with either t(8;21)(q22;q22) or inv(16)(p13q22)/t(16;16)(p13;q22) is referred to as core binding factor (CBF) AML. Although categorized as favorable risk, long-term survival for these patients is only ∼50% to 60%. Mutated (mut) or overexpressed KIT, a gene encoding a receptor tyrosine kinase, has been found almost exclusively in CBF AML and may increase the risk of disease relapse. We tested the safety and clinical activity of dasatinib, a multi-kinase inhibitor, in combination with chemotherapy. Sixty-one adult patients with AML and CBF fusion transcripts (RUNX1/RUNX1T1 or CBFB/MYH11) were enrolled on Cancer and Leukemia Group B (CALGB) 10801. Patients received cytarabine/daunorubicin induction on days 1 to 7 and oral dasatinib 100 mg/d on days 8 to 21. Upon achieving complete remission, patients received consolidation with high-dose cytarabine followed by dasatinib 100 mg/d on days 6 to 26 for 4 courses, followed by dasatinib 100 mg/d for 12 months. Fifteen (25%) patients were older (aged ≥60 years); 67% were CBFB/MYH11-positive, and 19% harbored KITmut. There were no unexpected or dose-limiting toxicities. Fifty-five (90%) patients achieved complete remission. With a median follow-up of 45 months, only 16% have relapsed. The 3-year disease-free survival and overall survival rates were 75% and 77% (79% and 85% for younger patients [aged <60 years], and 60% and 51% for older patients). Patients with KITmut had comparable outcome to those with wild-type KIT (3-year rates: disease-free survival, 67% vs 75%; overall survival, 73% vs 76%), thereby raising the question of whether dasatinib may overcome the negative impact of these genetic lesions. CALGB 10801 was registered at www.clinicaltrials.gov as #NCT01238211.
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14
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Vasconcelos FC, de Souza PS, Hancio T, de Faria FCC, Maia RC. Update on drug transporter proteins in acute myeloid leukemia: Pathological implication and clinical setting. Crit Rev Oncol Hematol 2021; 160:103281. [PMID: 33667660 DOI: 10.1016/j.critrevonc.2021.103281] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 12/11/2020] [Accepted: 02/27/2021] [Indexed: 12/17/2022] Open
Abstract
Acute myeloid leukemia (AML) is one of the most common hematological neoplasia causing death worldwide. The long-term overall survival is unsatisfactory due to many factors including older age, genetic heterogeneity and molecular characteristics comprising additional mutations, and resistance to chemotherapeutic drugs. The expression of ABCB1/P-glycoprotein, ABCC1/MRP1, ABCG2/BCRP and LRP transporter proteins is considered the major reason for multidrug resistance (MDR) in AML, however conflicting data have been reported. Here, we review the main issues about drug transporter proteins in AML clinical scenario, and highlight the clinicopathological significance of MDR phenotype associated with ABCB1 polymorphisms and FLT3 mutation.
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Affiliation(s)
- Flavia Cunha Vasconcelos
- Laboratório de Hemato-Oncologia Celular e Molecular, Programa de Hemato-Oncologia Molecular, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ, Brazil
| | - Paloma Silva de Souza
- Laboratório de Hemato-Oncologia Celular e Molecular, Programa de Hemato-Oncologia Molecular, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ, Brazil; Laboratório de Produtos Bioativos, Polo Novo Cavaleiros/IMCT, Campus Professor Aloisio Teixeira (UFRJ/Macaé), Universidade Federal do Rio de Janeiro (UFRJ), Macaé, RJ, Brazil
| | - Thaís Hancio
- Laboratório de Hemato-Oncologia Celular e Molecular, Programa de Hemato-Oncologia Molecular, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ, Brazil; Programa de Pós-Graduação Stricto Sensu em Oncologia, INCA, RJ, Brazil
| | - Fernanda Costas Casal de Faria
- Laboratório de Hemato-Oncologia Celular e Molecular, Programa de Hemato-Oncologia Molecular, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ, Brazil
| | - Raquel Ciuvalschi Maia
- Laboratório de Hemato-Oncologia Celular e Molecular, Programa de Hemato-Oncologia Molecular, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ, Brazil.
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15
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Bhatnagar B, Kohlschmidt J, Mrózek K, Zhao Q, Fisher JL, Nicolet D, Walker CJ, Mims AS, Oakes C, Giacopelli B, Orwick S, Boateng I, Blachly JS, Maharry SE, Carroll AJ, Powell BL, Kolitz JE, Stone RM, Byrd JC, Paskett ED, de la Chapelle A, Garzon R, Eisfeld AK. Poor Survival and Differential Impact of Genetic Features of Black Patients with Acute Myeloid Leukemia. Cancer Discov 2021; 11:626-637. [PMID: 33277314 PMCID: PMC7933110 DOI: 10.1158/2159-8290.cd-20-1579] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/19/2020] [Accepted: 11/25/2020] [Indexed: 11/16/2022]
Abstract
Clinical outcome of patients with acute myeloid leukemia (AML) is associated with cytogenetic and molecular factors and patient demographics (e.g., age and race). We compared survival of 25,523 non-Hispanic Black and White adults with AML using Surveillance Epidemiology and End Results (SEER) Program data and performed mutational profiling of 1,339 patients with AML treated on frontline Alliance for Clinical Trials in Oncology (Alliance) protocols. Black patients had shorter survival than White patients, both in SEER and in the setting of Alliance clinical trials. The disparity was especially pronounced in Black patients <60 years, after adjustment for socioeconomic (SEER) and molecular (Alliance) factors. Black race was an independent prognosticator of poor survival. Gene mutation profiles showed fewer NPM1 and more IDH2 mutations in younger Black patients. Overall survival of younger Black patients was adversely affected by IDH2 mutations and FLT3-ITD, but, in contrast to White patients, was not improved by NPM1 mutations. SIGNIFICANCE: We show that young Black patients have not benefited as much as White patients from recent progress in AML treatment in the United States. Our data suggest that both socioeconomic factors and differences in disease biology contribute to the survival disparity and need to be urgently addressed.See related commentary by Vyas, p. 540.This article is highlighted in the In This Issue feature, p. 521.
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MESH Headings
- Adolescent
- Adult
- Black or African American/genetics
- Aged
- Aged, 80 and over
- Biomarkers, Tumor
- Disease Management
- Disease Susceptibility
- Female
- Genetic Background
- Humans
- Leukemia, Myeloid, Acute/epidemiology
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/mortality
- Leukemia, Myeloid, Acute/therapy
- Male
- Middle Aged
- Mutation
- Outcome Assessment, Health Care
- Prognosis
- Public Health Surveillance
- Registries
- Risk Factors
- SEER Program
- United States/epidemiology
- Young Adult
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Affiliation(s)
- Bhavana Bhatnagar
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
- Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
| | - Qiuhong Zhao
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - James L Fisher
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
- Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Christopher J Walker
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
| | - Alice S Mims
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Christopher Oakes
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Brian Giacopelli
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Shelley Orwick
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Isaiah Boateng
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - James S Blachly
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Sophia E Maharry
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Bayard L Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, North Carolina
| | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, New York
| | - Richard M Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - John C Byrd
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
| | - Electra D Paskett
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio
| | | | - Ramiro Garzon
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Ann-Kathrin Eisfeld
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
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16
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Mologni L, Marzaro G, Redaelli S, Zambon A. Dual Kinase Targeting in Leukemia. Cancers (Basel) 2021; 13:E119. [PMID: 33401428 PMCID: PMC7796318 DOI: 10.3390/cancers13010119] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 12/23/2020] [Accepted: 12/28/2020] [Indexed: 12/13/2022] Open
Abstract
Pharmacological cancer therapy is often based on the concurrent inhibition of different survival pathways to improve treatment outcomes and to reduce the risk of relapses. While this strategy is traditionally pursued only through the co-administration of several drugs, the recent development of multi-targeting drugs (i.e., compounds intrinsically able to simultaneously target several macromolecules involved in cancer onset) has had a dramatic impact on cancer treatment. This review focuses on the most recent developments in dual-kinase inhibitors used in acute myeloid leukemia (AML), chronic myelogenous leukemia (CML), and lymphoid tumors, giving details on preclinical studies as well as ongoing clinical trials. A brief overview of dual-targeting inhibitors (kinase/histone deacetylase (HDAC) and kinase/tubulin polymerization inhibitors) applied to leukemia is also given. Finally, the very recently developed Proteolysis Targeting Chimeras (PROTAC)-based kinase inhibitors are presented.
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Affiliation(s)
- Luca Mologni
- Department of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy; (L.M.); (S.R.)
| | - Giovanni Marzaro
- Department of Pharmaceutical and Pharmacological Sciences, University of Padova, via Marzolo 5, I-35131 Padova, Italy;
| | - Sara Redaelli
- Department of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy; (L.M.); (S.R.)
| | - Alfonso Zambon
- Department of Chemistry and Geological Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
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17
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Liu H, Zhang X, Li M, Zhou W, Jiang G, Yin W, Song C. The incidence and prognostic effect of Fms-like tyrosine kinase 3 gene internal tandem and nucleolar phosphoprotein 1 genes in acute myeloid leukaemia: A PRISMA-compliant systematic review and meta-analysis. Medicine (Baltimore) 2020; 99:e23707. [PMID: 33371116 PMCID: PMC7748362 DOI: 10.1097/md.0000000000023707] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 11/17/2020] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Molecular genotyping is an important prognostic role in acute myeloid leukemia (AML) patients. We aimed to design this meta-analysis to discuss the incidence and prognostic effect of nucleolar phosphoprotein 1 (NPM1) and Fms-like tyrosine kinase 3 gene internal tandem (FLT3-ITD) gene in AML patients. METHODS PubMed, Embase, Medline, and Cochrane library were systematically searched due to May 15, 2020. Four combinations of genotypes (FLT3-ITDneg/NPM1mut, FLT3-ITDpos/NPM1mut, FLT3-ITDneg/NPM1wt, FLT3-ITDpos/NPM1wt) were compared in association with the overall survival (OS) and leukemia-free survival (LFS) outcome, which expressed as pooled hazard ratio (HR) and 95% confidence intervals (CIs). RESULTS Twenty-eight studies were included in our study. The incidence of FLT3-ITDneg/NPM1mut, FLT3-ITDpos/NPM1mut, FLT3-ITDneg/NPM1wt, and FLT3-ITDpos/NPM1wt was 16%, 13%, 50%, and 10%, respectively. The patients with FLT3-ITDneg/NPM1mut gene may have the best OS and LFS when comparing with FLT3-ITDpos/NPM1mut (HR = 1.94 and 1.70, P < .01), FLT3-ITDneg/NPM1wt (HR = 1.57 and 2.09, P < .01), and FLT3-ITDpos/NPM1wt (HR = 2.25 and 2.84, P < .001). CONCLUSION AML patients with FLT3-ITDneg/NPM1mut gene type have the best survival outcome than the other 3 gene types, which should be an independent genotyping in AML classification.
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Affiliation(s)
| | | | - Ming Li
- Department of Laboratory Medicine
| | | | | | - Weihua Yin
- Department of Oncology, Yichun City People's Hospital
| | - Chunping Song
- Department of Blood Supply, Blood Station, Yichun City, Jiangxi Province, China
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18
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Suknuntha K, Choi YJ, Jung HS, Majumder A, Shah S, Slukvin I, Ranheim EA. Megakaryocytic Expansion in Gilteritinib-Treated Acute Myeloid Leukemia Patients Is Associated With AXL Inhibition. Front Oncol 2020; 10:585151. [PMID: 33363015 PMCID: PMC7756118 DOI: 10.3389/fonc.2020.585151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 11/11/2020] [Indexed: 01/09/2023] Open
Abstract
Numerous recurrent genetic mutations are known to occur in acute myeloid leukemia (AML). Among these common mutations, Fms-like tyrosine kinase 3 remains as one of the most frequently mutated genes in AML. We observed apparent marrow expansion of megakaryocytes in three out of six patients with Flt3-mutated AML following treatment with a recently FDA-approved Flt3 inhibitor, gilteritinib which possesses activity against internal tandem duplication and tyrosine kinase domain Flt3 mutations and also inhibits tyrosine kinase AXL. To assess whether biopsy findings can be attributed to promotion of megakaryocytic (Mk) differentiation with gilteritinib, we devised a cellular assay by overexpressing double mutated Flt3-ITDY591F/Y919F in chronic myeloid leukemia cell line K562 to study Mk differentiation in the presence of Flt3 and AXL inhibitors with non-mutually exclusive mechanisms. These experiments demonstrated the lack of direct effect Flt3 inhibitors gilteritinib and quizartinib on megakaryocytic differentiation at either transcriptional or phenotypic levels, and highlighted antileukemic effects of AXL receptor tyrosine kinase inhibitor and its potential role in megakaryocytic development.
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Affiliation(s)
- Kran Suknuntha
- Department of Pathology and Laboratory Medicine, University of Wisconsin, Madison, WI, United States.,Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI, United States.,Chakri Naruebodindra Medical Institute, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Samut Prakan, Thailand
| | - Yoon Jung Choi
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI, United States
| | - Ho Sun Jung
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI, United States
| | - Aditi Majumder
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI, United States
| | - Sujal Shah
- Department of Pathology and Laboratory Medicine, University of Wisconsin, Madison, WI, United States
| | - Igor Slukvin
- Department of Pathology and Laboratory Medicine, University of Wisconsin, Madison, WI, United States.,Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI, United States
| | - Erik A Ranheim
- Department of Pathology and Laboratory Medicine, University of Wisconsin, Madison, WI, United States
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19
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Mutational landscape and clinical outcome of patients with de novo acute myeloid leukemia and rearrangements involving 11q23/ KMT2A. Proc Natl Acad Sci U S A 2020; 117:26340-26346. [PMID: 33020282 DOI: 10.1073/pnas.2014732117] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Balanced rearrangements involving the KMT2A gene, located at 11q23, are among the most frequent chromosome aberrations in acute myeloid leukemia (AML). Because of numerous fusion partners, the mutational landscape and prognostic impact of specific 11q23/KMT2A rearrangements are not fully understood. We analyzed clinical features of 172 adults with AML and recurrent 11q23/KMT2A rearrangements, 141 of whom had outcome data available. We compared outcomes of these patients with outcomes of 1,097 patients without an 11q23/KMT2A rearrangement categorized according to the 2017 European LeukemiaNet (ELN) classification. Using targeted next-generation sequencing, we investigated the mutational status of 81 leukemia/cancer-associated genes in 96 patients with 11q23/KMT2A rearrangements with material for molecular studies available. Patients with 11q23/KMT2A rearrangements had a low number of additional gene mutations (median, 1; range 0 to 6), which involved the RAS pathway (KRAS, NRAS, and PTPN11) in 32% of patients. KRAS mutations occurred more often in patients with t(6;11)(q27;q23)/KMT2A-AFDN compared with patients with the other 11q23/KMT2A subsets. Specific gene mutations were too infrequent in patients with specific 11q23/KMT2A rearrangements to assess their associations with outcomes. We demonstrate that younger (age <60 y) patients with t(9;11)(p22;q23)/KMT2A-MLLT3 had better outcomes than patients with other 11q23/KMT2A rearrangements and those without 11q23/KMT2A rearrangements classified in the 2017 ELN intermediate-risk group. Conversely, outcomes of older patients (age ≥60 y) with t(9;11)(p22;q23) were poor and comparable to those of the ELN adverse-risk group patients. Our study shows that patients with an 11q23/KMT2A rearrangement have distinct mutational patterns and outcomes depending on the fusion partner.
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20
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Abstract
PURPOSE OF REVIEW The field of acute myeloid leukemia (AML) has been revolutionized in recent years by the advent of high-throughput techniques, such as next-generation sequencing. In this review, we will discuss some of the recently identified mutations that have defined a new molecular landscape in this disease, as well as their prognostic, predictive, and therapeutic implications. RECENT FINDINGS Recent studies have shown how many cases of AML evolve from a premalignant period of latency characterized by the accumulation of several mutations and the emergence of one or multiple dominant clones. The pattern of co-occurring mutations and cytogenetic abnormalities at diagnosis defines risk and can determine therapeutic approaches to induce remission. Besides the genetic landscape at diagnosis, the continued presence of particular gene mutations during or after treatment carries prognostic information that should further influence strategies to maintain remission in the long term. The recent progress made in AML research is a seminal example of how basic science can translate into improving clinical practice. Our ability to characterize the genomic landscape of individual patients has not only improved our ability to diagnose and prognosticate but is also bringing the promise of precision medicine to fruition in the field.
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Affiliation(s)
- Ludovica Marando
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Brian J P Huntly
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, UK.
- Department of Haematology, University of Cambridge, Cambridge, UK.
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21
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Hayun M, Zaatra M, Itzkovich C, Sahar D, Rosenberg D, Filatova M, Ringelstein-Harlev S, Baris H, Moustafa-Hawash N, Louria-Hayon I, Ofran Y. ERK Activity in Immature Leukemic Cells Drives Clonal Selection during Induction Therapy for Acute Myeloid Leukemia. Sci Rep 2020; 10:8349. [PMID: 32433559 PMCID: PMC7239856 DOI: 10.1038/s41598-020-65061-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 04/23/2020] [Indexed: 01/23/2023] Open
Abstract
Selection of resistant clones following intensive chemotherapy is a common obstacle for cure in many cancers, particularly in acute myeloid leukemia (AML). In AML, clone-specific sensitivity to chemotherapy varies even within the same patient. Multiple mutations and genetic aberrations are associated with clones surviving chemotherapy. The current study explored the role of activated signaling pathways in chemoresistance as a function of cell maturation, reflected by CD34 expression. In-vitro, Kasumi-1 leukemic cell line, sorted by CD34 expression, showed increased apoptosis only in the CD34− subpopulation after exposure to cytosine arabinoside (Ara-C) or daunorubicin. The resistant CD34+ subset demonstrated higher expression of ERK1/2 and BCL-2 proteins than CD34− cells. MEK1/2 inhibition elevated Ara-C ability to induce apoptosis in CD34+ cells, suggesting that MEK1/2-ERK1/2 is surviving signaling, which correlates to cell maturation levels and plays a role in chemoresistance. Deep sequencing of sorted CD34+/− populations, both derived from the same patient samples, demonstrated various subclonal distribution of NPM1, DNMT3A and FLT3-ITD mutations. Interestingly, in these samples, p-ERK levels and apoptosis rates following chemotherapy exposure significantly differed between CD34+/− populations. Hence, clones may be selected due to their ability to escape apoptosis rather than a direct effect of chemotherapy on a specific mutated clone.
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Affiliation(s)
- Michal Hayun
- The Clinical Research Institute at Rambam (CRIR), Rambam Health Care Campus, Haifa, Israel
| | - Maria Zaatra
- The Clinical Research Institute at Rambam (CRIR), Rambam Health Care Campus, Haifa, Israel.,The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel
| | - Chen Itzkovich
- The Clinical Research Institute at Rambam (CRIR), Rambam Health Care Campus, Haifa, Israel.,The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel
| | - Dvora Sahar
- Hematology Laboratory, Rambam Health Care Campus, Haifa, Israel
| | - Dina Rosenberg
- Hematology Laboratory, Rambam Health Care Campus, Haifa, Israel
| | | | - Shimrit Ringelstein-Harlev
- Hematology Laboratory, Rambam Health Care Campus, Haifa, Israel.,Department of Hematology and Bone Marrow Transplantation, Rambam Health Care Campus, Haifa, Israel
| | - Hagit Baris
- The Clinical Research Institute at Rambam (CRIR), Rambam Health Care Campus, Haifa, Israel.,Genetics Institute, Rambam Health Care Campus, Haifa, Israel
| | | | - Igal Louria-Hayon
- The Clinical Research Institute at Rambam (CRIR), Rambam Health Care Campus, Haifa, Israel
| | - Yishai Ofran
- The Clinical Research Institute at Rambam (CRIR), Rambam Health Care Campus, Haifa, Israel. .,The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel. .,Department of Hematology and Bone Marrow Transplantation, Rambam Health Care Campus, Haifa, Israel.
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22
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Abstract
OPINION STATEMENT The expanding availability of minimal or more precisely measurable residual disease (MRD) assessment in acute myeloid leukemia (AML) with its possible implications for therapeutic decisions is of high interest to clinicians treating AML patients. A variety of mostly retrospective studies have shown that AML patients with a positive MRD test, assessed by different techniques at defined cutoffs and time-points, are at significantly higher risk of relapse and experience shorter overall survival compared to MRD-negative patients. How this valuable information may be adapted in the daily routine of patients' treatment to distinguish individuals who need more aggressive therapy from the ones who can be spared additional therapy to avoid treatment-related toxicities is still being investigated. With the exception of MRD analyses in acute promyelocitic leukemia (APL), the clinical implications of MRD tests for the individual AML patient are still mostly unknown. We currently lack hard evidence that MRD-based therapy modulation during treatment or pre-emptive intervention in MRD-positive patients after therapy would improve outcomes in non-APL AML patients. These questions will be evaluated in prospective randomized clinical trials. Today, however, some conclusions with regard to MRD assessment in AML can be drawn from the published data and are reviewed in this article.
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23
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Jentzsch M, Schwind S, Bach E, Stasik S, Thiede C, Platzbecker U. Clinical Challenges and Consequences of Measurable Residual Disease in Non-APL Acute Myeloid Leukemia. Cancers (Basel) 2019; 11:E1625. [PMID: 31652787 PMCID: PMC6893483 DOI: 10.3390/cancers11111625] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 10/18/2019] [Accepted: 10/21/2019] [Indexed: 12/19/2022] Open
Abstract
The ability to detect residual levels of leukemic blasts (measurable residual disease, MRD) has already been integrated in the daily routine for treatment of patients with chronic myeloid and acute lymphoblastic leukemia. In acute myeloid leukemia (AML), a variety of mostly retrospective studies have shown that individuals in AML remission who tested positive for MRD at specific time-points or had increasing MRD levels are at significantly higher risk of relapse and death compared to MRD-negative patients. However, these studies differ with respect to the "MRD-target", time-point of MRD determination, material analyzed, and method applied. How this probably very valuable MRD information in individual patients may be adapted in the daily clinical routine, e.g., to separate patients who need more aggressive therapies from those who may be spared additional-potentially toxic-therapies is still a work-in-progress. With the exception of MRD assessment in acute promyelocytic leukemia (APL), the lack of randomized, prospective trials renders MRD-based decisions and clinical implications in AML a difficult task. As of today, we still do not have proof that early intervention in MRD-positive AML patients would improve outcomes, although this is very likely. In this article, we review the current knowledge on non-APL AML MRD assessment and possible clinical consequences.
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Affiliation(s)
- Madlen Jentzsch
- Medical Clinic and Policlinic 1, Hematology and Cellular Therapy, Leipzig University Hospital, 04103 Leipzig, Germany.
| | - Sebastian Schwind
- Medical Clinic and Policlinic 1, Hematology and Cellular Therapy, Leipzig University Hospital, 04103 Leipzig, Germany.
| | - Enrica Bach
- Medical Clinic and Policlinic 1, Hematology and Cellular Therapy, Leipzig University Hospital, 04103 Leipzig, Germany.
| | - Sebastian Stasik
- Medical Department I, University Hospital and Faculty of Medicine, TU Dresden, 01307 Dresden, Germany.
| | - Christian Thiede
- Medical Department I, University Hospital and Faculty of Medicine, TU Dresden, 01307 Dresden, Germany.
| | - Uwe Platzbecker
- Medical Clinic and Policlinic 1, Hematology and Cellular Therapy, Leipzig University Hospital, 04103 Leipzig, Germany.
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24
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Bill M, Nicolet D, Kohlschmidt J, Walker CJ, Mrózek K, Eisfeld AK, Papaioannou D, Rong-Mullins X, Brannan Z, Kolitz JE, Powell BL, Archer KJ, Dorrance AM, Carroll AJ, Stone RM, Byrd JC, Garzon R, Bloomfield CD. Mutations associated with a 17-gene leukemia stem cell score and the score's prognostic relevance in the context of the European LeukemiaNet classification of acute myeloid leukemia. Haematologica 2019; 105:721-729. [PMID: 31413100 PMCID: PMC7049376 DOI: 10.3324/haematol.2019.225003] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 08/13/2019] [Indexed: 02/06/2023] Open
Abstract
Leukemia stem cells (LSC) are more resistant to standard chemotherapy and their persistence during remission can cause relapse, which is still one of the major clinical challenges in the treatment of acute myeloid leukemia (AML). A better understanding of the mutational patterns and the prognostic impact of molecular markers associated with stemness could lead to better clinical management and improve patients’ outcomes. We applied a previously described 17-gene expression score comprising genes differently expressed between LSC and leukemic bulk blasts, for 934 adult patients with de novo AML, and studied associations of the 17-gene LSC score with clinical data and mutation status of 81 genes recurrently mutated in cancer and leukemia. We found that patients with a high 17-gene score were older and had more mutations. The 17-gene score was found to have a prognostic impact in both younger (aged <60 years) and older (aged ≥60 years) patients with AML. We also analyzed the 17-gene LSC score in the context of the 2017 European LeukemiaNet genetic-risk classification and found that for younger patients the score refined the classification, and identified patients currently classified in the European LeukemiaNet Favorable-risk category who had a worse outcome.
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Affiliation(s)
- Marius Bill
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Columbus, OH.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Columbus, OH.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | | | | | - Zachary Brannan
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY
| | - Bayard L Powell
- Comprehensive Cancer Center of Wake Forest University, Winston-Salem, NC
| | - Kellie J Archer
- The Ohio State University Comprehensive Cancer Center, Columbus, OH.,College of Public Health, The Ohio State University, Columbus, OH
| | - Adrienne M Dorrance
- The Ohio State University Comprehensive Cancer Center, Columbus, OH.,Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL
| | - Richard M Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - John C Byrd
- The Ohio State University Comprehensive Cancer Center, Columbus, OH.,Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Ramiro Garzon
- The Ohio State University Comprehensive Cancer Center, Columbus, OH.,Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Clara D Bloomfield
- The Ohio State University Comprehensive Cancer Center, Columbus, OH .,Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
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25
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Walker CJ, Kohlschmidt J, Eisfeld AK, Mrózek K, Liyanarachchi S, Song C, Nicolet D, Blachly JS, Bill M, Papaioannou D, Oakes CC, Giacopelli B, Genutis LK, Maharry SE, Orwick S, Archer KJ, Powell BL, Kolitz JE, Uy GL, Wang ES, Carroll AJ, Stone RM, Byrd JC, de la Chapelle A, Bloomfield CD. Genetic Characterization and Prognostic Relevance of Acquired Uniparental Disomies in Cytogenetically Normal Acute Myeloid Leukemia. Clin Cancer Res 2019; 25:6524-6531. [PMID: 31375516 DOI: 10.1158/1078-0432.ccr-19-0725] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/06/2019] [Accepted: 07/30/2019] [Indexed: 11/16/2022]
Abstract
PURPOSE Uniparental disomy (UPD) is a way cancer cells duplicate a mutated gene, causing loss of heterozygosity (LOH). Patients with cytogenetically normal acute myeloid leukemia (CN-AML) do not have microscopically detectable chromosome abnormalities, but can harbor UPDs. We examined the prognostic significance of UPDs and frequency of LOH in patients with CN-AML.Experimental Design: We examined the frequency and prognostic significance of UPDs in a set of 425 adult patients with de novo CN-AML who were previously sequenced for 81 genes typically mutated in cancer. Associations of UPDs with outcome were analyzed in the 315 patients with CN-AML younger than 60 years. RESULTS We detected 127 UPDs in 109 patients. Most UPDs were large and typically encompassed all or most of the affected chromosome arm. The most common UPDs occurred on chromosome arms 13q (7.5% of patients), 6p (2.8%), and 11p (2.8%). Many UPDs significantly cooccurred with mutations in genes they encompassed, including 13q UPD with FLT3-internal tandem duplication (FLT3-ITD; P < 0.001), and 11p UPD with WT1 mutations (P = 0.02). Among patients younger than 60 years, UPD of 11p was associated with longer overall survival (OS) and 13q UPD with shorter disease-free survival (DFS) and OS. In multivariable models that accounted for known prognostic markers, including FLT3-ITD and WT1 mutations, UPD of 13q maintained association with shorter DFS, and UPD of 11p maintained association with longer OS. CONCLUSIONS LOH mediated by UPD is a recurrent feature of CN-AML. Detection of UPDs of 13q and 11p might be useful for genetic risk stratification of patients with CN-AML.
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Affiliation(s)
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | | | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | | | - Chi Song
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - James S Blachly
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Marius Bill
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | | | | | - Brian Giacopelli
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Luke K Genutis
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Sophia E Maharry
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Shelley Orwick
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Kellie J Archer
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.,Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio
| | - Bayard L Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, North Carolina
| | - Jonathan E Kolitz
- Monter Cancer Center, Zucker School of Medicine at Hofstra/Northwell, Lake Success, New York
| | - Geoffrey L Uy
- Washington University School of Medicine in St. Louis, Siteman Cancer Center, St. Louis, Missouri
| | - Eunice S Wang
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | | | - John C Byrd
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
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26
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Ten-year outcome of patients with acute myeloid leukemia not treated with allogeneic transplantation in first complete remission. Blood Adv 2019; 2:1645-1650. [PMID: 29991495 DOI: 10.1182/bloodadvances.2017015222] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 06/05/2018] [Indexed: 12/31/2022] Open
Abstract
The probability that adult patients with de novo acute myeloid leukemia (AML) receiving intensive chemotherapy in the absence of allogeneic hematopoietic stem cell transplantation (Allo-HCT) in first complete remission (CR1) will be disease-free at 10 years after diagnosis, a long-term surrogate of cure, is unknown. To address this question, we examined 2551 AML patients (1607 aged <60 years, and 944 aged ≥60 years) enrolled in Cancer and Leukemia Group B treatment protocols and the cytogenetics companion protocol 8461 between 1983 and 2004. At 10 years, 267 (16.6%) of patients aged <60 years and 23 (2.4%) of those aged ≥60 years were alive and disease-free. This disease-free AML group consisted predominantly of patients with core-binding factor AML with t(8;21)(q22;q22) or inv(16)(p13q22)/t(16;16)(p13;q22) and those with a normal karyotype. Occurrences of AML beyond 10 years were infrequent and associated with cytogenetic findings different from those at diagnosis. These data provide evidence that the frequency of long-term cure of AML is low among younger and especially older patients in the absence of Allo-HCT in CR1. In older patients not appropriate for Allo-HCT, these data provide further justification for early use of alternative treatments outside of intensive chemotherapy.
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27
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Daver N, Schlenk RF, Russell NH, Levis MJ. Targeting FLT3 mutations in AML: review of current knowledge and evidence. Leukemia 2019; 33:299-312. [PMID: 30651634 PMCID: PMC6365380 DOI: 10.1038/s41375-018-0357-9] [Citation(s) in RCA: 590] [Impact Index Per Article: 118.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 10/18/2018] [Accepted: 10/24/2018] [Indexed: 02/07/2023]
Abstract
Genomic investigations of acute myeloid leukemia (AML) have demonstrated that several genes are recurrently mutated, leading to new genomic classifications, predictive biomarkers, and new therapeutic targets. Mutations of the FMS-like tyrosine kinase 3 (FLT3) gene occur in approximately 30% of all AML cases, with the internal tandem duplication (ITD) representing the most common type of FLT3 mutation (FLT3-ITD; approximately 25% of all AML cases). FLT3-ITD is a common driver mutation that presents with a high leukemic burden and confers a poor prognosis in patients with AML. The prognostic value of a FLT3 mutation in the tyrosine kinase domain (FLT3-TKD), which has a lower incidence in AML (approximately 7-10% of all cases), is uncertain. Accumulating evidence demonstrates that FLT3 mutational status evolves throughout the disease continuum. This so-called clonal evolution, together with the identification of FLT3-ITD as a negative prognostic marker, serves to highlight the importance of FLT3-ITD testing at diagnosis and again at relapse. Earlier identification of FLT3 mutations will help provide a better understanding of the patient's disease and enable targeted treatment that may help patients achieve longer and more durable remissions. First-generation FLT3 inhibitors developed for clinical use are broad-spectrum, multikinase inhibitors; however, next-generation FLT3 inhibitors are more specific, more potent, and have fewer toxicities associated with off-target effects. Primary and secondary acquired resistance to FLT3 inhibitors remains a challenge and provides a rationale for combining FLT3 inhibitors with other therapies, both conventional and investigational. This review focuses on the pathological and prognostic role of FLT3 mutations in AML, clinical classification of the disease, recent progress with next-generation FLT3 inhibitors, and mechanisms of resistance to FLT3 inhibitors.
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Affiliation(s)
- Naval Daver
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Richard F Schlenk
- National Center of Tumor Diseases, German Cancer Research Center, Heidelberg, Germany
| | - Nigel H Russell
- Centre for Clinical Haematology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Mark J Levis
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
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28
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Gu R, Yang X, Wei H. Molecular landscape and targeted therapy of acute myeloid leukemia. Biomark Res 2018; 6:32. [PMID: 30455953 PMCID: PMC6225571 DOI: 10.1186/s40364-018-0146-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 10/04/2018] [Indexed: 12/22/2022] Open
Abstract
For decades, genetic aberrations including chromosome and molecular abnormalities are important diagnostic and prognostic factors in acute myeloid leukemia (AML). ATRA and imatinib have been successfully used in AML and chronic myelogenous leukemia, which proved that targeted therapy by identifying molecular lesions could improve leukemia outcomes. Recent advances in next generation sequencing have revealed molecular landscape of AML, presenting us with many molecular abnormalities. The individual prognostic information derived from a specific mutation could be modified by other molecular lesions. Therefore, the genomic complexity in AML poses a huge challenge to successful translation into more accurate risk stratification and targeted therapy. Herein, a summary of these mutations and targeted therapies are described. We focus on the prognostic information of recent identified molecular lesions and emerging targeted therapy.
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Affiliation(s)
- Runxia Gu
- Leukemia Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020 People’s Republic of China
| | - Xue Yang
- Leukemia Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020 People’s Republic of China
| | - Hui Wei
- Leukemia Center, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020 People’s Republic of China
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29
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Bloomfield CD, Estey E, Pleyer L, Schuh AC, Stein EM, Tallman MS, Wei A. Time to repeal and replace response criteria for acute myeloid leukemia? Blood Rev 2018; 32:416-425. [PMID: 29706486 DOI: 10.1016/j.blre.2018.03.006] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 02/14/2018] [Accepted: 03/22/2018] [Indexed: 01/08/2023]
Abstract
The International Working Group (IWG) response criteria for acute myeloid leukemia, published in 2003, have remained the standard by which the efficacy of new drugs is measured in clinical trials. Over the last decade, concepts related to treatment response have been challenged by several factors; for example, the dissociation between early clinical response and survival outcome in older patients, the recognition that epigenetic and newer differentiating-agent therapies may produce delayed responses and also hematologic improvement/transfusion independence without a morphologic response, and evidence that remissions without minimal (or measurable) residual disease (MRD) may result in outcomes superior to those of morphologic remissions with persistent MRD. The evolving role of MRD status as a potential surrogate for predicting long-term survival has enhanced the clinical need to standardize and incorporate emerging technologies that enable deeper responses beyond those recognized by the IWG, and to pre-emptively identify patients at risk of early relapse. The potential for therapeutic interventions to erase MRD and alter the natural history represents an important and open research question. Reviewed here are some of the implications and challenges associated with establishing and incorporating new treatment response criteria, initially into clinical research, and eventually into real-world practice.
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Affiliation(s)
| | - Elihu Estey
- Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Lisa Pleyer
- Paracelsus Medical University, Salzburg, Austria; Salzburg Cancer Research Institute, Center for Clinical Cancer and Immunology Trials, Salzburg, Austria; Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Eytan M Stein
- Memorial Sloan-Kettering Cancer Center, New York, United States; Weill Cornell Medical College, New York, United States
| | - Martin S Tallman
- Memorial Sloan-Kettering Cancer Center, New York, United States; Weill Cornell Medical College, New York, United States
| | - Andrew Wei
- The Alfred Hospital and Monash University, Melbourne, Australia.
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30
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Eisfeld AK, Kohlschmidt J, Mrózek K, Blachly JS, Walker CJ, Nicolet D, Orwick S, Maharry SE, Carroll AJ, Stone RM, de la Chapelle A, Wang ES, Kolitz JE, Powell BL, Byrd JC, Bloomfield CD. Mutation patterns identify adult patients with de novo acute myeloid leukemia aged 60 years or older who respond favorably to standard chemotherapy: an analysis of Alliance studies. Leukemia 2018; 32:1338-1348. [PMID: 29563537 PMCID: PMC5992022 DOI: 10.1038/s41375-018-0068-2] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 01/23/2018] [Accepted: 01/29/2018] [Indexed: 11/09/2022]
Abstract
Thus far, only 5-15% of AML patients aged ≥60 years are cured with chemotherapy. Identification of patients who are less (more) likely to respond to standard chemotherapy might enable early risk stratification toward alternative treatment regimens. We used a next-generation sequencing panel of 80 cancer- and/or leukemia-associated genes to profile molecularly 423 older patients with de novo AML. Using variables identified in multivariable models and co-occurring mutations in NPM1-mutated AML, we classified the patients into good-, intermediate-, and poor-risk groups for complete remission (CR) attainment, disease-free (DFS), and overall survival (OS). Whereas 81% of good-risk patients (comprising NPM1-mutated patients harboring mutations in chromatin remodeling, cohesin complex, methylation-related, spliceosome, and/or RAS pathway genes, FLT3-TKD, and/or patients without FLT3-ITD) achieved a CR, only 32% of poor-risk patients (with U2AF1, WT1 mutations and/or complex karyotype) did. Intermediate-risk patients had a 50% CR rate. Similarly, using NPM1 co-mutation patterns and SF1 mutation status, we identified patients with favorable DFS and OS 3-year rates of 46% and 45%, respectively. Patients with adverse genetic features had DFS and OS rates of only 2% and 4%. We show that application of our proposed criteria may refine the 2017 European LeukemiaNet classification for older patients treated with chemotherapy.
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Affiliation(s)
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
| | - James S Blachly
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Division of Hematology, Columbus, OH, USA
| | | | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Shelley Orwick
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Division of Hematology, Columbus, OH, USA
| | - Sophia E Maharry
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | | | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY, USA
| | - Bayard L Powell
- Comprehensive Cancer Center of Wake Forest University, Winston-Salem, NC, USA
| | - John C Byrd
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Division of Hematology, Columbus, OH, USA
| | - Clara D Bloomfield
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
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31
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Sandmaier BM, Khaled S, Oran B, Gammon G, Trone D, Frankfurt O. Results of a phase 1 study of quizartinib as maintenance therapy in subjects with acute myeloid leukemia in remission following allogeneic hematopoietic stem cell transplant. Am J Hematol 2018; 93:222-231. [PMID: 29090473 PMCID: PMC6585789 DOI: 10.1002/ajh.24959] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 10/23/2017] [Accepted: 10/27/2017] [Indexed: 01/09/2023]
Abstract
FLT3-ITD-mutated acute myeloid leukemia (AML) has very high risk of relapse and is associated with poor outcome following allogeneic hematopoietic-cell transplant (allo-HCT). This two-part, phase 1, multicenter, open-label, sequential-group, dose-escalation study aimed to determine dose-limiting toxicities (DLTs), maximum tolerated dose (MTD), and safety/tolerability of quizartinib, a selective and highly potent FLT3 inhibitor, when administered as maintenance therapy after allo-HCT. Thirteen subjects with documented FLT3-ITD-mutated AML in morphological remission following allo-HCT received one of two quizartinib dihydrochloride dose levels (DL): 40 mg/d (DL1; n = 7) and 60 mg/d (DL2; n = 6), administered orally in 28-day cycles for up to 24 cycles. Median age of participants was 43 years. All subjects received human leukocyte antigen (HLA)-matched allo-HCT. One subject treated at DL1 and 1 treated at DL2 had DLTs that required drug interruption (grade 3 gastric hemorrhage and grade 3 anemia, respectively). Ten subjects (77%) received quizartinib for >1 year; 5 (38%) completed 24 cycles. Four subjects (31%) discontinued quizartinib due to adverse events. One subject (8%) experienced relapse during cycle 1 and discontinued treatment. Most common grade 3/4 adverse events were neutropenia (23%), anemia (15%), leukopenia (15%), lymphopenia (15%), and thrombocytopenia (15%). This study demonstrated acceptable tolerability and early evidence of reduced relapse rate following allo-HCT with quizartinib maintenance compared to historical cohorts. No MTD was identified, but 60 mg daily was selected as highest dose for continuous daily administration based on randomized comparison of daily 30 and 60 mg doses in relapsed/refractory AML.
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Affiliation(s)
- Brenda M. Sandmaier
- Fred Hutchinson Cancer Research CenterSeattleWashington
- University of Washington School of MedicineSeattleWashington
| | | | - Betül Oran
- The University of Texas MD Anderson Cancer CenterHoustonTexas
| | - Guy Gammon
- Independent consultantSan DiegoCalifornia
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32
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Zhou JD, Zhang TJ, Li XX, Ma JC, Guo H, Wen XM, Yao DM, Zhang W, Lin J, Qian J. Methylation-independent CHFR expression is a potential biomarker affecting prognosis in acute myeloid leukemia. J Cell Physiol 2018; 233:4707-4714. [PMID: 29115660 DOI: 10.1002/jcp.26253] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2017] [Accepted: 09/29/2017] [Indexed: 12/29/2022]
Affiliation(s)
- Jing-Dong Zhou
- Department of Hematology; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
| | - Ting-Juan Zhang
- Department of Hematology; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
| | - Xi-Xi Li
- Department of Hematology; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
| | - Ji-Chun Ma
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
- Laboratory Center; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
| | - Hong Guo
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
- Laboratory Center; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
| | - Xiang-Mei Wen
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
- Laboratory Center; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
| | - Dong-Ming Yao
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
- Laboratory Center; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
| | - Wei Zhang
- Department of Hematology; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
| | - Jiang Lin
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
- Laboratory Center; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
| | - Jun Qian
- Department of Hematology; Affiliated People's Hospital of Jiangsu University; Zhenjiang Jiangsu P.R. China
- The Key Lab of Precision Diagnosis and Treatment of Zhenjiang City; Zhenjiang Jiangsu P.R. China
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33
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Conventional and Molecular Cytogenomic Basis of Hematologic Malignancies. Hematology 2018. [DOI: 10.1016/b978-0-323-35762-3.00056-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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34
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Jiang X, Hu C, Ferchen K, Nie J, Cui X, Chen CH, Cheng L, Zuo Z, Seibel W, He C, Tang Y, Skibbe JR, Wunderlich M, Reinhold WC, Dong L, Shen C, Arnovitz S, Ulrich B, Lu J, Weng H, Su R, Huang H, Wang Y, Li C, Qin X, Mulloy JC, Zheng Y, Diao J, Jin J, Li C, Liu PP, He C, Chen Y, Chen J. Targeted inhibition of STAT/TET1 axis as a therapeutic strategy for acute myeloid leukemia. Nat Commun 2017; 8:2099. [PMID: 29235481 PMCID: PMC5727390 DOI: 10.1038/s41467-017-02290-w] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Accepted: 11/17/2017] [Indexed: 01/10/2023] Open
Abstract
Effective therapy of acute myeloid leukemia (AML) remains an unmet need. DNA methylcytosine dioxygenase Ten-eleven translocation 1 (TET1) is a critical oncoprotein in AML. Through a series of data analysis and drug screening, we identified two compounds (i.e., NSC-311068 and NSC-370284) that selectively suppress TET1 transcription and 5-hydroxymethylcytosine (5hmC) modification, and effectively inhibit cell viability in AML with high expression of TET1 (i.e., TET1-high AML), including AML carrying t(11q23)/MLL-rearrangements and t(8;21) AML. NSC-311068 and especially NSC-370284 significantly repressed TET1-high AML progression in vivo. UC-514321, a structural analog of NSC-370284, exhibited a more potent therapeutic effect and prolonged the median survival of TET1-high AML mice over three fold. NSC-370284 and UC-514321 both directly target STAT3/5, transcriptional activators of TET1, and thus repress TET1 expression. They also exhibit strong synergistic effects with standard chemotherapy. Our results highlight the therapeutic potential of targeting the STAT/TET1 axis by selective inhibitors in AML treatment. Ten-eleven translocation 1 (TET1) is a critical oncoprotein in AML. Here, the authors identify 2 compounds that target the binding of STAT3/5 specifically to the TET1 promoter, inhibiting its expression and AML cell viability.
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Affiliation(s)
- Xi Jiang
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA. .,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA. .,Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA.
| | - Chao Hu
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA.,Department of Hematology, The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, 310003, China
| | - Kyle Ferchen
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA
| | - Ji Nie
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, Howard Hughes Medical Institute, University of Chicago, Chicago, IL, 60637, USA
| | - Xiaolong Cui
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, Howard Hughes Medical Institute, University of Chicago, Chicago, IL, 60637, USA
| | - Chih-Hong Chen
- Department of Molecular Medicine, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
| | - Liting Cheng
- Key Laboratory of Luminescence and Real-time Analytical Chemistry (Ministry of Education), College of Pharmaceutical Sciences, Southwest University, Chongqing, 400715, China
| | - Zhixiang Zuo
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - William Seibel
- Division of Oncology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Chunjiang He
- School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China
| | - Yixuan Tang
- Key Laboratory of Luminescence and Real-time Analytical Chemistry (Ministry of Education), College of Pharmaceutical Sciences, Southwest University, Chongqing, 400715, China
| | - Jennifer R Skibbe
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA
| | - Mark Wunderlich
- Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - William C Reinhold
- Developmental Therapeutics Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD, 20892, USA
| | - Lei Dong
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Chao Shen
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Stephen Arnovitz
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA
| | - Bryan Ulrich
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA
| | - Jiuwei Lu
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA
| | - Hengyou Weng
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA.,Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Rui Su
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Huilin Huang
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Yungui Wang
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA.,Department of Hematology, The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, 310003, China
| | - Chenying Li
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA.,Department of Hematology, The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, 310003, China
| | - Xi Qin
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA.,Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - James C Mulloy
- Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Yi Zheng
- Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Jiajie Diao
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA
| | - Jie Jin
- Department of Hematology, The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, 310003, China
| | - Chong Li
- Key Laboratory of Luminescence and Real-time Analytical Chemistry (Ministry of Education), College of Pharmaceutical Sciences, Southwest University, Chongqing, 400715, China
| | - Paul P Liu
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, NIH, Bethesda, MD, 20892, USA
| | - Chuan He
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, Howard Hughes Medical Institute, University of Chicago, Chicago, IL, 60637, USA
| | - Yuan Chen
- Department of Molecular Medicine, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
| | - Jianjun Chen
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH, 45219, USA. .,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA. .,Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA.
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35
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van Gils N, Verhagen HJMP, Smit L. Reprogramming acute myeloid leukemia into sensitivity for retinoic-acid-driven differentiation. Exp Hematol 2017; 52:12-23. [PMID: 28456748 DOI: 10.1016/j.exphem.2017.04.007] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 04/05/2017] [Accepted: 04/14/2017] [Indexed: 12/29/2022]
Abstract
The success of all-trans retinoic acid (ATRA) therapy for acute promyelocytic leukemia (APL) provides a rationale for using retinoic acid (RA)-based therapy for other subtypes of acute myeloid leukemia (AML). Recently, several studies showed that ATRA may drive leukemic cells efficiently into differentiation and/or apoptosis in a subset of AML patients with an NPM1 mutation, a FLT3-ITD, an IDH1 mutation, and patients overexpressing EVI-1. Because not all patients within these molecular subgroups respond to ATRA and clinical trials that tested ATRA response in non-APL AML patients have had disappointing results, the identification of additional biomarkers may help to identify patients who strongly respond to ATRA-based therapy. Searching for response biomarkers might also reveal novel RA-based combination therapies with an efficient differentiation/apoptosis-inducing effect in non-APL AML patients. Preliminary studies suggest that the epigenetic or transcriptional state of leukemia cells determines their susceptibility to ATRA. We hypothesize that reprogramming by inhibitors of epigenetic-modifying enzymes or by modulation of microRNA expression might sensitize non-APL AML cells for RA-based therapy. AML relapse is caused by a subpopulation of leukemia cells, named leukemic stem cells (LSCs), which are in a different epigenetic state than the total bulk of the AML. The survival of LSCs after therapy is the main cause of the poor prognosis of AML patients, and novel differentiation therapies should drive these LSCs into maturity. In this review, we summarize the current knowledge on the epigenetic aspects of susceptibility to RA-induced differentiation in APL and non-APL AML.
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Affiliation(s)
- Noortje van Gils
- Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Han J M P Verhagen
- Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Linda Smit
- Department of Hematology, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands.
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36
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Validation of risk stratification models in acute myeloid leukemia using sequencing-based molecular profiling. Leukemia 2017; 31:2029-2036. [PMID: 28167833 PMCID: PMC5629364 DOI: 10.1038/leu.2017.48] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 01/17/2017] [Accepted: 01/20/2017] [Indexed: 12/24/2022]
Abstract
Risk stratification of acute myeloid leukemia (AML) patients needs improvement. Several AML risk classification models based on somatic mutations or gene-expression profiling have been proposed. However, systematic and independent validation of these models is required for future clinical implementation. We performed whole-transcriptome RNA-sequencing and panel-based deep DNA sequencing of 23 genes in 274 intensively treated AML patients (Clinseq-AML). We also utilized the The Cancer Genome Atlas (TCGA)-AML study (N=142) as a second validation cohort. We evaluated six previously proposed molecular-based models for AML risk stratification and two revised risk classification systems combining molecular- and clinical data. Risk groups stratified by five out of six models showed different overall survival in cytogenetic normal-AML patients in the Clinseq-AML cohort (P-value<0.05; concordance index >0.5). Risk classification systems integrating mutational or gene-expression data were found to add prognostic value to the current European Leukemia Net (ELN) risk classification. The prognostic value varied between models and across cohorts, highlighting the importance of independent validation to establish evidence of efficacy and general applicability. All but one model replicated in the Clinseq-AML cohort, indicating the potential for molecular-based AML risk models. Risk classification based on a combination of molecular and clinical data holds promise for improved AML patient stratification in the future.
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37
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Niederwieser C, Nicolet D, Carroll AJ, Kolitz JE, Powell BL, Kohlschmidt J, Stone RM, Byrd JC, Mrózek K, Bloomfield CD. Chromosome abnormalities at onset of complete remission are associated with worse outcome in patients with acute myeloid leukemia and an abnormal karyotype at diagnosis: CALGB 8461 (Alliance). Haematologica 2016; 101:1516-1523. [PMID: 27470602 DOI: 10.3324/haematol.2016.149542] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 07/26/2016] [Indexed: 12/19/2022] Open
Abstract
Achievement of complete remission is essential for long-term survival of acute myeloid leukemia patients. We evaluated the prognostic significance of cytogenetics at complete remission in 258 adults with de novo acute myeloid leukemia and abnormal pre-treatment karyotypes, treated on Cancer and Leukemia Group B front-line studies, with cytogenetic data at onset of morphological complete remission. Thirty-two patients had abnormal karyotypes at time of initial complete remission. Of these, 28 had at least 1 abnormality identified pre-treatment, and 4 acute myeloid leukemia-related abnormalities not detected pre-treatment. Two hundred and twenty-six patients had normal remission karyotypes. Patients with abnormal remission karyotypes were older (P<0.001), had lower pre-treatment white blood counts (P=0.002) and blood blast percentages (P=0.004), were less often classified as Favorable and more often as Adverse among European LeukemiaNet Genetic Groups (P<0.001), and had shorter disease-free survival (median 0.6 vs. 0.9 years; P<0.001) and overall survival (median 1.2 vs. 2.2 years; P<0.001) than patients with normal remission karyotypes. Sixteen patients with normal remission karyotypes also harbored non-clonal abnormalities unrelated to pre-treatment karyotypes. They had shorter overall survival than 210 patients with only normal metaphases (P=0.04). Forty-eight patients with any clonal or non-clonal chromosome abnormality at complete remission had worse disease-free survival (median 0.6 vs. 1.0 years; P<0.001) and overall survival (median 1.2 vs. 2.5 years; P<0.001) than 210 patients with exclusively normal metaphases. In multivariable analyses, after adjustment for age, the presence of any remission abnormality was associated with shorter disease-free survival (P=0.03) and overall survival (P=0.01). We conclude that detection of any abnormality at complete remission is an adverse prognostic factor. (clinicaltrials.gov identifier: 00048958).
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Affiliation(s)
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.,Alliance for Clinical Trials in Oncology Statistics and Data Center, Mayo Clinic, Rochester, MN, USA
| | | | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra North Shore-Long Island Jewish School of Medicine, Lake Success, NY, USA
| | - Bayard L Powell
- Comprehensive Cancer Center, Wake Forest University, Winston-Salem, NC, USA
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.,Alliance for Clinical Trials in Oncology Statistics and Data Center, Mayo Clinic, Rochester, MN, USA
| | | | - John C Byrd
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Clara D Bloomfield
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
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38
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Bozzetti C, Türkmen S, Richter U, Fransecky L, Bal G, Schulz CO, Hemmati P, Arnold R, Riess H, le Coutre P. A Rare Case of Acute Myeloid Leukemia with a t(2;3) Chromosomal Translocation Characterized by Thrombophilia and Chemoresistance. J Clin Exp Hematop 2016; 56:64-8. [PMID: 27334861 DOI: 10.3960/jslrt.56.64] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
We hereby report a case of acute myeloid leukemia with translocation t(2;3) and involvement of the ectopic virus integration site-1 (EVI1) gene. Like most other 3q26-related disorders reported thus far, we describe a phenotype with elevated platelet counts and dysmegakaryopoesis. The clinical course of our patient was complicated by symptomatic thrombophilia and chemoresistance. In addition, our case exhibited FLT3 (Fms-related tyrosine kinase 3) internal tandem duplication. Although anagrelide was successful in controlling elevated platelet counts, allogeneic stem cell transplantation failed to overcome chemoresistance due to simultaneous graft-versus-host-disease and relapse of acute myeloid leukemia. Given the dismal outcome of our case and previously reported cases, we propagate the implementation of targeted therapies to newly diagnosed patients with acute myeloid leukemia t(2;3). Preclinical models indicate drugs that plausibly target the EVI1-related molecular vulnerability as candidates for basket trials. Anagrelide exhibited a hopeful signal of activity in 3q26-related thrombocytosis and should be evaluated for implementation as supportive care.
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Affiliation(s)
- Cecilia Bozzetti
- Charité Campus Mitte, Medizinische Klinik mit Schwerpunkt Onkologie und Hämatologie
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39
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Jiang X, Hu C, Arnovitz S, Bugno J, Yu M, Zuo Z, Chen P, Huang H, Ulrich B, Gurbuxani S, Weng H, Strong J, Wang Y, Li Y, Salat J, Li S, Elkahloun AG, Yang Y, Neilly MB, Larson RA, Le Beau MM, Herold T, Bohlander SK, Liu PP, Zhang J, Li Z, He C, Jin J, Hong S, Chen J. miR-22 has a potent anti-tumour role with therapeutic potential in acute myeloid leukaemia. Nat Commun 2016; 7:11452. [PMID: 27116251 PMCID: PMC5477496 DOI: 10.1038/ncomms11452] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 03/23/2016] [Indexed: 01/07/2023] Open
Abstract
MicroRNAs are subject to precise regulation and have key roles in tumorigenesis. In contrast to the oncogenic role of miR-22 reported in myelodysplastic syndrome (MDS) and breast cancer, here we show that miR-22 is an essential anti-tumour gatekeeper in de novo acute myeloid leukaemia (AML) where it is significantly downregulated. Forced expression of miR-22 significantly suppresses leukaemic cell viability and growth in vitro, and substantially inhibits leukaemia development and maintenance in vivo. Mechanistically, miR-22 targets multiple oncogenes, including CRTC1, FLT3 and MYCBP, and thus represses the CREB and MYC pathways. The downregulation of miR-22 in AML is caused by TET1/GFI1/EZH2/SIN3A-mediated epigenetic repression and/or DNA copy-number loss. Furthermore, nanoparticles carrying miR-22 oligos significantly inhibit leukaemia progression in vivo. Together, our study uncovers a TET1/GFI1/EZH2/SIN3A/miR-22/CREB-MYC signalling circuit and thereby provides insights into epigenetic/genetic mechanisms underlying the pathogenesis of AML, and also highlights the clinical potential of miR-22-based AML therapy.
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Affiliation(s)
- Xi Jiang
- Department of Cancer Biology, University of Cincinnati, Cincinnati, Ohio 45219, USA.,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Chao Hu
- Department of Cancer Biology, University of Cincinnati, Cincinnati, Ohio 45219, USA.,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA.,Department of Hematology, The First Affiliated Hospital Zhejiang University, Hangzhou, 310003 Zhejiang, China
| | - Stephen Arnovitz
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Jason Bugno
- Department of Biopharmaceutical Sciences College of Pharmacy, The University of Illinois, Chicago, Illinois 60612, USA
| | - Miao Yu
- Department of Chemistry and Institute for Biophysical Dynamics, Howard Hughes Medical Institute, University of Chicago, Chicago, Illinois 60637, USA
| | - Zhixiang Zuo
- Department of Cancer Biology, University of Cincinnati, Cincinnati, Ohio 45219, USA.,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 510060 Guangzhou, China
| | - Ping Chen
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Hao Huang
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Bryan Ulrich
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Sandeep Gurbuxani
- Department of Pathology, University of Chicago, Chicago, Illinois 60637, USA
| | - Hengyou Weng
- Department of Cancer Biology, University of Cincinnati, Cincinnati, Ohio 45219, USA.,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Jennifer Strong
- Department of Cancer Biology, University of Cincinnati, Cincinnati, Ohio 45219, USA
| | - Yungui Wang
- Department of Cancer Biology, University of Cincinnati, Cincinnati, Ohio 45219, USA.,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA.,Department of Hematology, The First Affiliated Hospital Zhejiang University, Hangzhou, 310003 Zhejiang, China
| | - Yuanyuan Li
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Justin Salat
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Shenglai Li
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Abdel G Elkahloun
- Division of Intramural Research, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA
| | - Yang Yang
- Department of Biopharmaceutical Sciences College of Pharmacy, The University of Illinois, Chicago, Illinois 60612, USA
| | - Mary Beth Neilly
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Richard A Larson
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Michelle M Le Beau
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - Tobias Herold
- Department of Internal Medicine 3, University Hospital Grosshadern, Ludwig-Maximilians-Universität, 81377 Munich, Germany
| | - Stefan K Bohlander
- Department of Molecular Medicine and Pathology, University of Auckland, Auckland 1142, New Zealand
| | - Paul P Liu
- Division of Intramural Research, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA
| | - Jiwang Zhang
- Oncology Institute, Cardinal Bernardin Cancer Center, Loyola University Medical Center, Maywood, Illinois 60153, USA
| | - Zejuan Li
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA.,Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Chuan He
- Department of Chemistry and Institute for Biophysical Dynamics, Howard Hughes Medical Institute, University of Chicago, Chicago, Illinois 60637, USA
| | - Jie Jin
- Department of Hematology, The First Affiliated Hospital Zhejiang University, Hangzhou, 310003 Zhejiang, China
| | - Seungpyo Hong
- Department of Biopharmaceutical Sciences College of Pharmacy, The University of Illinois, Chicago, Illinois 60612, USA.,Integrated Science and Engineering Division, Underwood International College, Yonsei University, Incheon 406-840, Korea
| | - Jianjun Chen
- Department of Cancer Biology, University of Cincinnati, Cincinnati, Ohio 45219, USA.,Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
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40
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Alazhary NM, Shafik RE, Shafik HE, Kamel MM. Prognostic Value of a CYP2B6 Gene Polymorphism in Patients with Acute Myeloid Leukemia. Asian Pac J Cancer Prev 2016; 16:4583-7. [PMID: 26107207 DOI: 10.7314/apjcp.2015.16.11.4583] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The objectives of this study aimed to detect a CYP2B6 polymorphism in de novo cases of acute myeloid leukemia patients and identify any role in disease progression and outcome. MATERIALS AND METHODS DNA was isolated from peripheral blood of 82 newly diagnosed acute myeloid leukemia cases and the CYP2B6 G15631T gene polymorphism was assayed by PCR restriction fragment length polymorphism (PCR-RFLP). RESULTS The frequency of the GG genotype (wild type) was 48 (58.5%) and that of the mutant type T allele was 34 (41.9%). GT genotype heterozygous variants were found in 28 (34%), and TT genotype homozygous variants in 6 (7.3%) cases. We found no significant association between the CYP2B6 G15631T polymorphism and complete response (CR) (p-value=0.768), FAB classification (p-value=0.51), cytogenetic analysis (p-value=0.673), and overall survival (p-value=0.325). Also, there were no significant links with early toxic death (p-value=0.92) or progression- free survival (PFS) (p-value=0.245). CONCLUSIONS Our results suggest that the CYP2B6 polymorphism has no role in disease progression, therapeutic outcome, patient free survival, early toxic death and overall survival in acute myeloid leukemia patients.
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Affiliation(s)
- Nevin M Alazhary
- Department of Clinical Pathology, National Cancer Institute, Cairo University, Cairo, Egypt E-mail :
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41
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Khwaja A, Bjorkholm M, Gale RE, Levine RL, Jordan CT, Ehninger G, Bloomfield CD, Estey E, Burnett A, Cornelissen JJ, Scheinberg DA, Bouscary D, Linch DC. Acute myeloid leukaemia. Nat Rev Dis Primers 2016; 2:16010. [PMID: 27159408 DOI: 10.1038/nrdp.2016.10] [Citation(s) in RCA: 225] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Acute myeloid leukaemia (AML) is a disorder characterized by a clonal proliferation derived from primitive haematopoietic stem cells or progenitor cells. Abnormal differentiation of myeloid cells results in a high level of immature malignant cells and fewer differentiated red blood cells, platelets and white blood cells. The disease occurs at all ages, but predominantly occurs in older people (>60 years of age). AML typically presents with a rapid onset of symptoms that are attributable to bone marrow failure and may be fatal within weeks or months when left untreated. The genomic landscape of AML has been determined and genetic instability is infrequent with a relatively small number of driver mutations. Mutations in genes involved in epigenetic regulation are common and are early events in leukaemogenesis. The subclassification of AML has been dependent on the morphology and cytogenetics of blood and bone marrow cells, but specific mutational analysis is now being incorporated. Improvements in treatment in younger patients over the past 35 years has largely been due to dose escalation and better supportive care. Allogeneic haematopoietic stem cell transplantation may be used to consolidate remission in those patients who are deemed to be at high risk of relapse. A plethora of new agents - including those targeted at specific biochemical pathways and immunotherapeutic approaches - are now in trial based on improved understanding of disease pathophysiology. These advances provide good grounds for optimism, although mortality remains high especially in older patients.
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Affiliation(s)
- Asim Khwaja
- Department of Haematology, University College London, UCL Cancer Institute, 72 Huntley Street, London WC1E 6DD, UK
| | - Magnus Bjorkholm
- Department of Medicine, Karolinska Institutet and University Hospital, Stockholm, Sweden
| | - Rosemary E Gale
- Department of Haematology, University College London, UCL Cancer Institute, 72 Huntley Street, London WC1E 6DD, UK
| | - Ross L Levine
- Human Oncology and Pathogenesis Program, Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Craig T Jordan
- Division of Hematology, University of Colorado Denver, Denver, Colorado, USA
| | - Gerhard Ehninger
- Department of Internal Medicine, Technical University Dresden, Dresden, Germany
| | | | - Eli Estey
- Division of Hematology, University of Washington and Clinical Research Division Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | | | | | - David A Scheinberg
- Molecular Pharmacology Program, Experimental Therapeutics Center, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Didier Bouscary
- Institut Cochin, Département Développement Reproduction Cancer, CNRS UMR8104, INSERM U1016, Paris, France.,Service d'Hématologie, Hôpital Cochin, AP-HP, Paris, France.,Université Paris Descartes, Faculté de Médecine Sorbonne Paris Cité, Paris, France
| | - David C Linch
- Department of Haematology, University College London, UCL Cancer Institute, 72 Huntley Street, London WC1E 6DD, UK
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42
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Koczkodaj D, Zmorzyński S, Michalak-Wojnowska M, Wąsik-Szczepanek E, Filip AA. Examination of the FLT3 and NPM1 mutational status in patients with acute myeloid leukemia from southeastern Poland. Arch Med Sci 2016; 12:120-8. [PMID: 26925127 PMCID: PMC4754359 DOI: 10.5114/aoms.2015.49811] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Accepted: 04/05/2014] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Acute myeloid leukemia (AML) is a genetically heterogeneous disease at both the cytogenetic and molecular levels. In AML cells many chromosomal aberrations are observed, some of them being characteristic of a particular subtype of patients, and others being less significant. Besides chromosomal abnormalities, the leukemic cells can have a variety of mutations involving individual genes. The aim of this work was to investigate the frequencies of molecular alterations with the focus on FLT3-ITD and NPM1 mutations in AML patients of different age groups living in a southeastern region of Poland. MATERIAL AND METHODS The study group comprised 50 consecutive AML patients. We analyzed bone marrow samples by conventional cytogenetics. Cytogenetic evaluation in selected cases was complemented by the FISH technique. The internal tandem mutation in the FLT3 gene was identified using polymerase chain reaction (PCR), and the NPM1 mutation was assessed by direct nucleotide sequencing. RESULTS The studies using classical cytogenetics showed chromosomal aberrations in 32 (64%) patients. In 18 cases no changes in the karyotype were found by conventional karyotyping. FLT3-ITD mutation was detected in 4 (8%) patients and mutation of NPM1 in 3 patients with AML (6%). CONCLUSIONS The incidence of both mutations in our study group was lower than described elsewhere. We have confirmed that FLT3-ITD occurred more commonly in older patients and it was associated with shorter overall survival. By contrast, mutation of exon 12 of the NPM1 gene seems to be a good prognostic factor in AML patients with normal karyotype.
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Affiliation(s)
- Dorota Koczkodaj
- Department of Cancer Genetics, Medical University of Lublin, Lublin, Poland
| | - Szymon Zmorzyński
- Department of Cancer Genetics, Medical University of Lublin, Lublin, Poland
| | | | - Ewa Wąsik-Szczepanek
- Department of Hematooncology and Bone Marrow Transplantation, Medical University of Lublin, Lublin, Poland
| | - Agata A. Filip
- Department of Cancer Genetics, Medical University of Lublin, Lublin, Poland
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43
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Grimwade D, Ivey A, Huntly BJP. Molecular landscape of acute myeloid leukemia in younger adults and its clinical relevance. Blood 2016; 127:29-41. [PMID: 26660431 PMCID: PMC4705608 DOI: 10.1182/blood-2015-07-604496] [Citation(s) in RCA: 308] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2015] [Accepted: 08/04/2015] [Indexed: 01/13/2023] Open
Abstract
Recent major advances in understanding the molecular basis of acute myeloid leukemia (AML) provide a double-edged sword. Although defining the topology and key features of the molecular landscape are fundamental to development of novel treatment approaches and provide opportunities for greater individualization of therapy, confirmation of the genetic complexity presents a huge challenge to successful translation into routine clinical practice. It is now clear that many genes are recurrently mutated in AML; moreover, individual leukemias harbor multiple mutations and are potentially composed of subclones with differing mutational composition, rendering each patient's AML genetically unique. In order to make sense of the overwhelming mutational data and capitalize on this clinically, it is important to identify (1) critical AML-defining molecular abnormalities that distinguish biological disease entities; (2) mutations, typically arising in subclones, that may influence prognosis but are unlikely to be ideal therapeutic targets; (3) mutations associated with preleukemic clones; and (4) mutations that have been robustly shown to confer independent prognostic information or are therapeutically relevant. The reward of identifying AML-defining molecular lesions present in all leukemic populations (including subclones) has been exemplified by acute promyelocytic leukemia, where successful targeting of the underlying PML-RARα oncoprotein has eliminated the need for chemotherapy for disease cure. Despite the molecular heterogeneity and recognizing that treatment options for other forms of AML are limited, this review will consider the scope for using novel molecular information to improve diagnosis, identify subsets of patients eligible for targeted therapies, refine outcome prediction, and track treatment response.
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Affiliation(s)
- David Grimwade
- Department of Medical & Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Adam Ivey
- Department of Medical & Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Brian J P Huntly
- Department of Haematology, Cambridge Institute for Medical Research and Addenbrookes Hospital, University of Cambridge, and Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, Cambridge, United Kingdom
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44
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Felice MS, Rossi JG, Alonso CN, Gallego MS, Eberle SE, Alfaro EM, Guitter MR, Bernasconi AR, Rubio PL, Coccé MC, Zubizarreta PA. Experience with four consecutive BFM-based protocols for treatment of childhood with non-promyelocytic acute myeloblastic leukemia in Argentina. Leuk Lymphoma 2016; 57:2090-9. [DOI: 10.3109/10428194.2015.1131277] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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45
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Abstract
Acute myeloid leukemia (AML) is a clonal disorder characterized by the accumulation of complex genomic alterations that define the disease pathophysiology and overall outcome. Recent advances in sequencing technologies have described the molecular landscape of AML and identified several somatic alterations that impact overall survival. Despite all these advancement, several challenges remain in translating this information into effective therapy. Herein we will review the molecular landscape of AML and discuss the impact of the most common somatic mutations on disease biology and outcome.
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Affiliation(s)
- Karam Al-Issa
- Leukemia Program, Department of Hematology and Oncology, Cleveland Clinic, Taussig Cancer Institute, Cleveland 44195, OH, USA
| | - Aziz Nazha
- Leukemia Program, Department of Hematology and Oncology, Cleveland Clinic, Taussig Cancer Institute, Cleveland 44195, OH, USA
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46
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Emerging diagnostic and therapeutic approaches in core binding factor acute myeloid leukaemia. Curr Opin Hematol 2015; 22:85-91. [DOI: 10.1097/moh.0000000000000124] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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47
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Kjeldsen E. A novel acquired inv(2)(p23.3q24.3) with concurrent submicroscopic deletions at 2p23.3, 2p22.1, 2q24.3 and 1p13.2 in a patient with chronic thrombocytopenia and anemia. Mol Cytogenet 2015; 8:7. [PMID: 25653716 PMCID: PMC4316802 DOI: 10.1186/s13039-015-0113-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2015] [Accepted: 01/20/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Thrombocytopenia can result from a wide range of conditions and may be determined by multiple mechanisms. It can be due to a reduced platelet production or an increased destruction of platelets. Increased destruction is seen in conditions such as disseminated intravascular coagulation (DIC) and thrombotic microangiopathies, whereas decreased production is seen in bone marrow (BM) failure syndromes such as aplastic anemia, myelodysplastic syndromes, and chemotherapy-induced thrombocytopenia. In BM failure syndromes thrombocytopenia is often accompanied by anemia and/or leucopenia. Recognition of the cause of thrombocytopenia is often crucial for correct management of patients. CASE PRESENTATION Here, we report on a 71 year-old male caucasian with thrombocytopenia since six years, and a recent development of anemia. At the time of progression with anemia a bone marrow sampling was done to examine for a possible causative myeloid malignancy. The morphological examination was normal whereas immunophenotyping by flowcytometry could not exclude myelodysplasia. Cytogenetic analysis by G-banding revealed a pericentric inversion of chromosome 2 in 23 out of 25 analyzed metaphases. The inversion was further characterized by molecular cytogenetics and high-resolution oligo-based array-CGH analysis. Together the analyses demonstrated a 141.8 Mb pericentric inversion, inv(2)(p23.3q24.3), and concurrent submicroscopic deletions in 2p23.3, 2p22.1, 2q24.3 and 1p13.2 between 0.6-1.9 Mb in size. Locus-specific FISH analyses confirmed all deletions and the pericentric inversion of chromosome 2. The chromosomal abnormalities were present in 87% of the bone marrow cells whereas analysis of a skin biopsy revealed a normal male karyotype as well as a normal array-CGH result. These findings demonstrate that the identified abnormalities were acquired. CONCLUSION To the best of our knowledge, this is the first report of chronic thrombocytopenia and anemia associated with acquired inv(2)(p23.3q24.3) as a sole cytogenetic abnormality together with concurrent submicroscopic deletions at 2p23.3, 2p22.1, 2q24.3 and 1p13.2.
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Affiliation(s)
- Eigil Kjeldsen
- HemoDiagnostic Laboratory, CancerCytogenetic Section, Department of Hematology, Aarhus University Hospital, Tage-Hansens Gade 2, Ent. 4A, DK-8000 Aarhus C, Denmark
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Jones C, LeDay TV, Miller AM. Acute myelogenous leukemia at Baylor Charles A. Sammons Cancer Center, 2010 to 2012: retrospective analysis of molecular genetic evaluation. Proc (Bayl Univ Med Cent) 2014; 27:299-304. [PMID: 25484493 DOI: 10.1080/08998280.2014.11929140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Over the last several decades, advancements in the understanding of genetic and molecular origins of acute myeloid leukemia (AML) have brought about significant changes in how the disease is classified, diagnosed, and treated. The change from the traditional French-American-British classification system to that of the World Health Organization redefined how the disease is diagnosed not only morphologically but genetically. With genetic information proving to have prognostic value, the newer classification system, which incorporates results of cytogenetic and molecular analyses, allows better definition of disease and risk stratification, ultimately guiding treatment choices. As understanding and advancements in the molecular basis of AML continue to grow and influence patient management, the importance of an accurate and thorough initial patient evaluation is paramount. We performed a review of AML cases diagnosed at Baylor Charles A. Sammons Cancer Center from February 2010 to December 2012 to assess the thoroughness of initial diagnostic evaluations based on current guidelines, including up-to-date molecular analyses for mutations in NPM1, CEBPA, FLT3, and C-KIT. Results showed that patients newly diagnosed with AML undergo thorough diagnostic evaluation in keeping with current recommendations, and many had further genetic and molecular evaluations, which although considered optional or investigational, have prognostic significance. We identified potential areas of improvement for making this diagnostic evaluation more specific to the patient and the patient's disease. Currently, we are investigating having patients undergo reflex genetic testing if they meet certain criteria to better define their specific disease while avoiding unnecessary genetic evaluations that come at increased cost.
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Affiliation(s)
- Catherine Jones
- Department of Oncology, Baylor Charles A. Sammons Cancer Center and Baylor University Medical Center at Dallas (Jones, Miller); the Department of Pathology, Baylor University Medical Center at Dallas (LeDay); and Pathologists Bio-Medical Laboratories, LLP, Dallas, Texas (LeDay)
| | - Temekka V LeDay
- Department of Oncology, Baylor Charles A. Sammons Cancer Center and Baylor University Medical Center at Dallas (Jones, Miller); the Department of Pathology, Baylor University Medical Center at Dallas (LeDay); and Pathologists Bio-Medical Laboratories, LLP, Dallas, Texas (LeDay)
| | - Alan M Miller
- Department of Oncology, Baylor Charles A. Sammons Cancer Center and Baylor University Medical Center at Dallas (Jones, Miller); the Department of Pathology, Baylor University Medical Center at Dallas (LeDay); and Pathologists Bio-Medical Laboratories, LLP, Dallas, Texas (LeDay)
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Abstract
Abstract
The past 40 years have witnessed major advances in defining the cytogenetic aberrations, mutational landscape, epigenetic profiles, and expression changes underlying hematological malignancies. Although it has become apparent that acute myeloid leukemia (AML) is highly heterogeneous at the molecular level, the standard framework for risk stratification guiding transplant practice in this disease remains largely based on pretreatment assessment of cytogenetics and a limited panel of molecular genetic markers, coupled with morphological assessment of bone marrow (BM) blast percentage after induction. However, application of more objective methodology such as multiparameter flow cytometry (MFC) has highlighted the limitations of morphology for reliable determination of remission status. Moreover, there is a growing body of evidence that detection of subclinical levels of leukemia (ie, minimal residual disease, MRD) using MFC or molecular-based approaches provides powerful independent prognostic information. Consequently, there is increasing interest in the use of MRD detection to provide early end points in clinical trials and to inform patient management. However, implementation of MRD assessment into clinical practice remains a major challenge, hampered by differences in the assays and preferred analytical methods employed between routine laboratories. Although this should be addressed through adoption of standardized assays with external quality control, it is clear that the molecular heterogeneity of AML coupled with increasing understanding of its clonal architecture dictates that a “one size fits all” approach to MRD detection in this disease is not feasible. However, with the range of platforms now available, there is considerable scope to realistically track treatment response in every patient.
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Grimwade D, Freeman SD. Defining minimal residual disease in acute myeloid leukemia: which platforms are ready for "prime time"? HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2014; 2014:222-233. [PMID: 25696859 DOI: 10.1182/asheducation-2014.1.222] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The past 40 years have witnessed major advances in defining the cytogenetic aberrations, mutational landscape, epigenetic profiles, and expression changes underlying hematological malignancies. Although it has become apparent that acute myeloid leukemia (AML) is highly heterogeneous at the molecular level, the standard framework for risk stratification guiding transplant practice in this disease remains largely based on pretreatment assessment of cytogenetics and a limited panel of molecular genetic markers, coupled with morphological assessment of bone marrow (BM) blast percentage after induction. However, application of more objective methodology such as multiparameter flow cytometry (MFC) has highlighted the limitations of morphology for reliable determination of remission status. Moreover, there is a growing body of evidence that detection of subclinical levels of leukemia (ie, minimal residual disease, MRD) using MFC or molecular-based approaches provides powerful independent prognostic information. Consequently, there is increasing interest in the use of MRD detection to provide early end points in clinical trials and to inform patient management. However, implementation of MRD assessment into clinical practice remains a major challenge, hampered by differences in the assays and preferred analytical methods employed between routine laboratories. Although this should be addressed through adoption of standardized assays with external quality control, it is clear that the molecular heterogeneity of AML coupled with increasing understanding of its clonal architecture dictates that a "one size fits all" approach to MRD detection in this disease is not feasible. However, with the range of platforms now available, there is considerable scope to realistically track treatment response in every patient.
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Affiliation(s)
- David Grimwade
- Department of Medical & Molecular Genetics, King's College London School of Medicine, London, United Kingdom; and
| | - Sylvie D Freeman
- Department of Clinical Immunology, University of Birmingham Medical School, Edgbaston, Birmingham, United Kingdom
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