1
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Krumbholz M, Dolnik A, Sträng E, Ghete T, Skambraks S, Hutter S, Simonis A, Stegelmann F, Suttorp M, Horn AHC, Sticht H, Haferlach T, Bullinger L, Metzler M. A high proportion of germline variants in pediatric chronic myeloid leukemia. Mol Cancer 2024; 23:206. [PMID: 39327604 PMCID: PMC11426096 DOI: 10.1186/s12943-024-02109-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 09/02/2024] [Indexed: 09/28/2024] Open
Abstract
Chronic myeloid leukemia (CML) typically occurs in late adulthood. Pediatric CML is a rare form of leukemia. In all age groups, the characteristic genetic driver of the disease is the BCR::ABL1 fusion gene. However, additional genomic events contribute to leukemic transformation, which is not yet well-characterized in pediatric CML. We investigated the mutational landscape of pediatric CML to determine whether predisposing germline variants may play a role in early-age disease development. Whole exome sequencing and targeted sequencing were performed in pediatric and adult CML samples to identify age-related germline and somatic variants in addition to the BCR::ABL1 translocation. Germline variants were detected in about 60% of pediatric patients with CML, with predominantly hematopoietic genes affected, most frequently ASXL1, NOTCH1, KDM6B, and TET2. The number of germline variants was significantly lower in adult patients with CML. If only confirmed pathogenic variants were regarded as cancer-predisposing variants, the occurrence was ~ 10% of pediatric CML, which is comparable to other hematological malignancies and most childhood cancer entities in general. We hypothesize that the interaction with the strong oncogene BCR::ABL1 may also favor the development of leukemia by weaker variants in the same genes. In pediatric patients, the germline variants of genes associated with clonal hematopoiesis may increase the likelihood that an incidental BCR::ABL1 translocation triggers the early manifestation of CML.
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Affiliation(s)
- Manuela Krumbholz
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Loschgestrasse 15, 91054, Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Anna Dolnik
- Department of Hematology, Oncology, and Cancer Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Virchow Klinikum, Berlin, Germany
| | - Eric Sträng
- Department of Hematology, Oncology, and Cancer Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Virchow Klinikum, Berlin, Germany
| | - Tabita Ghete
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Loschgestrasse 15, 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Sabrina Skambraks
- Department of Internal Medicine III, Ulm University Hospital, Ulm, Germany
| | | | - Alfred Simonis
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Loschgestrasse 15, 91054, Erlangen, Germany
| | - Frank Stegelmann
- Department of Internal Medicine III, Ulm University Hospital, Ulm, Germany
| | - Meinolf Suttorp
- Medical Faculty, Pediatric Hematology and Oncology, Technical University, Dresden, Germany
| | - Anselm H C Horn
- Bioinformatics, Institute of Biochemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
- Erlangen National High Performance Computing Center (NHR@FAU), Friedrich-Alexander- Universität Erlangen-Nürnberg, 91058, Erlangen, Germany
| | - Heinrich Sticht
- Bioinformatics, Institute of Biochemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | | | - Lars Bullinger
- Department of Hematology, Oncology, and Cancer Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Virchow Klinikum, Berlin, Germany
- Corporate member of Freie Universität Berlin and Humboldt, partner site Berlin, Universitätsmedizin Berlin, Universität zu Berlin, German Cancer Consortium (DKTK), Berlin, Germany
| | - Markus Metzler
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Loschgestrasse 15, 91054, Erlangen, Germany.
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany.
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany.
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2
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Perusini MA, Žáčková D, Kim T, Pagnano K, Pavlovsky C, Ježíšková I, Kvetková A, Jurček T, Kim J, Yoo Y, Yi S, Lee H, Kim KH, Chang M, Capo-Chichi JM, Medeiros JJF, Arruda A, Minden M, Zhang Z, Abelson S, Mayer J, Hwan Kim DD. Mutations in myeloid transcription factors and activated signaling genes predict chronic myeloid leukemia outcomes. Blood Adv 2024; 8:2361-2372. [PMID: 38447114 PMCID: PMC11127220 DOI: 10.1182/bloodadvances.2023012127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/17/2024] [Accepted: 02/15/2024] [Indexed: 03/08/2024] Open
Abstract
ABSTRACT Advancements in genomics are transforming the clinical management of chronic myeloid leukemia (CML) toward precision medicine. The impact of somatic mutations on treatment outcomes is still under debate. We studied the association of somatic mutations in epigenetic modifier genes and activated signaling/myeloid transcription factors (AS/MTFs) with disease progression and treatment failure in patients with CML after tyrosine kinase inhibitor (TKI) therapy. A total of 394 CML samples were sequenced, including 254 samples collected at initial diagnosis and 140 samples taken during follow-up. Single-molecule molecular inversion probe (smMIP)-based next-generation sequencing (NGS) was conducted targeting recurrently mutated loci in 40 genes, with a limit of detection of 0.2%. Seventy mutations were detected in 57 diagnostic samples (22.4%), whereas 64 mutations were detected in 39 of the follow-up samples (27.9%). Carrying any mutation at initial diagnosis was associated with worse outcomes after TKI therapy, particularly in AS/MTF genes. Patients having these mutations at initial diagnosis and treated with imatinib showed higher risks of treatment failure (hazard ratio, 2.53; 95% confidence interval, 1.13-5.66; P = .0239). The adverse prognostic impact of the mutations was not clear for patients treated with second-generation TKIs. The multivariate analysis affirmed that mutations in AS/MTF genes independently serve as adverse prognostic factors for molecular response, failure-free survival, and progression risk. Additionally, there was an observable nonsignificant trend indicating a heightened risk of progression to advanced disease and worse overall survival. In conclusion, mutations in the AS/MTF genes using smMIP-based NGS can help identify patients with a potential risk of both treatment failure and progression and may help upfront TKI selection.
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MESH Headings
- Humans
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/mortality
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis
- Mutation
- Male
- Middle Aged
- Female
- Adult
- Aged
- Signal Transduction
- Protein Kinase Inhibitors/therapeutic use
- Prognosis
- Transcription Factors/genetics
- Treatment Outcome
- High-Throughput Nucleotide Sequencing
- Young Adult
- Aged, 80 and over
- Disease Progression
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Affiliation(s)
- Maria Agustina Perusini
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Daniela Žáčková
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic
| | - Taehyung Kim
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
- The Donnelly Centre for Cellular and Biomolecular Research, Donnelly Centre for Cellular & Biomolecular Research, Toronto, ON, Canada
| | - Katia Pagnano
- Hematology and Hemotherapy Center, University of Campinas, Campinas, Brazil
| | | | - Ivana Ježíšková
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic
| | - Anežka Kvetková
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic
| | - Tomáš Jurček
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic
| | - Jaeyoon Kim
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Youngseok Yoo
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Seongyoon Yi
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Internal Medicine, Inje University Ilsan-Paik Hospital, Goyang, Republic of Korea
| | - Hyewon Lee
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Internal Medicine, Center for Hematologic Malignancies, National Cancer Center, Goyang, Republic of Korea
| | - Kyoung Ha Kim
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Division of Hematology and Oncology, Department of Internal Medicine, Soon Chun Hyang University Seoul Hospital, Seoul, Republic of Korea
| | - Myunghee Chang
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
- National Health Insurance Service Ilsan Hospital, Ilsan, Republic of Korea
| | - Jose-Mario Capo-Chichi
- Genome Diagnostics & Cancer Cytogenetics Laboratories, Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Jessie J. F. Medeiros
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Andrea Arruda
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Malignant Hematology Tissue Bank, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Mark Minden
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Malignant Hematology Tissue Bank, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Zhaolei Zhang
- The Donnelly Centre for Cellular and Biomolecular Research, Donnelly Centre for Cellular & Biomolecular Research, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Sagi Abelson
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Jiri Mayer
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic
| | - Dennis Dong Hwan Kim
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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Behrens YL, Gaschler L, Nienhold R, Reinkens T, Schirmer E, Knöß S, Strasser R, Sembill S, Wotschofsky Z, Suttorp M, Krumbholz M, Schlegelberger B, Metzler M, Göhring G, Karow A. Somatic variant profiling in chronic phase pediatric chronic myeloid leukemia. Haematologica 2024; 109:942-947. [PMID: 37706343 PMCID: PMC10905094 DOI: 10.3324/haematol.2023.283800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 09/01/2023] [Indexed: 09/15/2023] Open
Abstract
Not available.
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Affiliation(s)
| | - Laura Gaschler
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen
| | - Ronny Nienhold
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich Switzerland
| | - Thea Reinkens
- Department of Human Genetics, Hannover Medical School, Hannover
| | - Elke Schirmer
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen
| | - Sabine Knöß
- Department of Human Genetics, Hannover Medical School, Hannover
| | - Renate Strasser
- Department of Human Genetics, Hannover Medical School, Hannover
| | - Stephanie Sembill
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen
| | - Zofia Wotschofsky
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen
| | - Meinolf Suttorp
- Medical Faculty, Pediatric Hematology and Oncology, Technical University, Dresden
| | - Manuela Krumbholz
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen
| | | | - Markus Metzler
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen
| | - Gudrun Göhring
- Department of Human Genetics, Hannover Medical School, Hannover, Germany; current address: Amedes Genetics, Hannover
| | - Axel Karow
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen.
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4
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Rafiq Mohammed A, Assad D, Rostami G, Hamid M. Frequency and prognostic influence of ASXL1 mutations and its potential association with BCR-ABL1 transcript type and smoke in chronic myeloid leukemia patients. Gene 2023; 886:147776. [PMID: 37689224 DOI: 10.1016/j.gene.2023.147776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 08/31/2023] [Accepted: 09/05/2023] [Indexed: 09/11/2023]
Abstract
BACKGROUND Heterogeneous response to tyrosine kinase inhibitors (TKIs) and progress to advance phases, still is a significant clinical problem. These are attributed to additional mutations in mutated non-ABL1 genes. we aimed to determine prognostic effects of ASXL1 mutations as a biomarker for diverse treatment response and disease progression to aid clinical management. METHODS We performed ASXL1 gene mutational screening in 80 Ph+CML patients at different phases and 10 healthy control by direct sequencing method. Multiplex and qRT-PCR, standard chromosome banding analysis were used to determine BCR-ABL1 transcript type, molecular and cytogenetic responses respectively. RESULTS overall, four type mutations were identified in 11.25% of the patients. There was significant difference regarding mutation frequency between chronic and advance phases (P = 0.0002), sokal risk score (P = 0.0001), smoking (P = 0.02) and mean of during time of imatinib treatment (P = 0.009) between patients with and without ASXL1 mutations. ASXL1 mutations frequency had a bias toward younger than older and women than men, but no significant (P > 0.05). ASXL1 mutations were found more recurrently in patients carrying ABL1 KD mutations (P = 0.003). The risk of increasing resistance and disease progression in patients with ASXL1 mutations was 32 and 63 fold higher than those without mutations respectively (P = 0.01; P = 0.0002). The risk of ASXL1 mutations presence in patients with b2a2 transcript type was much higher than b3a2 type (P = 0.02, OR = 10). CONCLUSION Our findings suggest that ASXL1 mutations may be favorable predictive biomarkers to determine the best TKI for each patient, and to prevent CML progression.
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Affiliation(s)
- Aras Rafiq Mohammed
- Department of Biology, College of Science, Sulaimani University, Sulaymanyah, Iraq
| | - Dlnya Assad
- Department of Biology, College of Science, Sulaimani University, Sulaymanyah, Iraq
| | - Golale Rostami
- Department of Molecular Medicine, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran
| | - Mohammad Hamid
- Department of Molecular Medicine, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
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5
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Cross NCP, Ernst T, Branford S, Cayuela JM, Deininger M, Fabarius A, Kim DDH, Machova Polakova K, Radich JP, Hehlmann R, Hochhaus A, Apperley JF, Soverini S. European LeukemiaNet laboratory recommendations for the diagnosis and management of chronic myeloid leukemia. Leukemia 2023; 37:2150-2167. [PMID: 37794101 PMCID: PMC10624636 DOI: 10.1038/s41375-023-02048-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/13/2023] [Accepted: 09/20/2023] [Indexed: 10/06/2023]
Abstract
From the laboratory perspective, effective management of patients with chronic myeloid leukemia (CML) requires accurate diagnosis, assessment of prognostic markers, sequential assessment of levels of residual disease and investigation of possible reasons for resistance, relapse or progression. Our scientific and clinical knowledge underpinning these requirements continues to evolve, as do laboratory methods and technologies. The European LeukemiaNet convened an expert panel to critically consider the current status of genetic laboratory approaches to help diagnose and manage CML patients. Our recommendations focus on current best practice and highlight the strengths and pitfalls of commonly used laboratory tests.
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Affiliation(s)
| | - Thomas Ernst
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | - Susan Branford
- Centre for Cancer Biology and SA Pathology, Adelaide, SA, Australia
| | - Jean-Michel Cayuela
- Laboratory of Hematology, University Hospital Saint-Louis, AP-HP and EA3518, Université Paris Cité, Paris, France
| | | | - Alice Fabarius
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - Dennis Dong Hwan Kim
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | | | | | - Rüdiger Hehlmann
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
- ELN Foundation, Weinheim, Germany
| | - Andreas Hochhaus
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | - Jane F Apperley
- Centre for Haematology, Imperial College London, London, UK
- Department of Clinical Haematology, Imperial College Healthcare NHS Trust, London, UK
| | - Simona Soverini
- Department of Medical and Surgical Sciences, Institute of Hematology "Lorenzo e Ariosto Seràgnoli", University of Bologna, Bologna, Italy
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6
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Shanmuganathan N, Wadham C, Shahrin N, Feng J, Thomson D, Wang P, Saunders V, Kok CH, King RM, Kenyon RR, Lin M, Pagani IS, Ross DM, Yong ASM, Grigg AP, Mills AK, Schwarer AP, Braley J, Altamura H, Yeung DT, Scott HS, Schreiber AW, Hughes TP, Branford S. Impact of additional genetic abnormalities at diagnosis of chronic myeloid leukemia for first-line imatinib-treated patients receiving proactive treatment intervention. Haematologica 2023; 108:2380-2395. [PMID: 36951160 PMCID: PMC10483360 DOI: 10.3324/haematol.2022.282184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 03/16/2023] [Indexed: 03/24/2023] Open
Abstract
The BCR::ABL1 gene fusion initiates chronic myeloid leukemia (CML); however, evidence has accumulated from studies of highly selected cohorts that variants in other cancer-related genes are associated with treatment failure. Nevertheless, the true incidence and impact of additional genetic abnormalities (AGA) at diagnosis of chronic phase (CP)-CML is unknown. We sought to determine whether AGA at diagnosis in a consecutive imatinib-treated cohort of 210 patients enrolled in the TIDEL-II trial influenced outcome despite a highly proactive treatment intervention strategy. Survival outcomes including overall survival, progression-free survival, failure-free survival, and BCR::ABL1 kinase domain mutation acquisition were evaluated. Molecular outcomes were measured at a central laboratory and included major molecular response (MMR, BCR::ABL1 ≤0.1%IS), MR4 (BCR::ABL1 ≤0.01%IS), and MR4.5 (BCR::ABL1 ≤0.0032%IS). AGA included variants in known cancer genes and novel rearrangements involving the formation of the Philadelphia chromosome. Clinical outcomes and molecular response were assessed based on the patient's genetic profile and other baseline factors. AGA were identified in 31% of patients. Potentially pathogenic variants in cancer-related genes were detected in 16% of patients at diagnosis (including gene fusions and deletions) and structural rearrangements involving the Philadelphia chromosome (Ph-associated rearrangements) were detected in 18%. Multivariable analysis demonstrated that the combined genetic abnormalities plus the EUTOS long-term survival clinical risk score were independent predictors of lower molecular response rates and higher treatment failure. Despite a highly proactive treatment intervention strategy, first-line imatinib-treated patients with AGA had poorer response rates. These data provide evidence for the incorporation of genomically-based risk assessment for CML.
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MESH Headings
- Humans
- Imatinib Mesylate/therapeutic use
- Antineoplastic Agents/therapeutic use
- Philadelphia Chromosome
- Fusion Proteins, bcr-abl/genetics
- Fusion Proteins, bcr-abl/metabolism
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myeloid, Chronic-Phase/drug therapy
- Protein Kinase Inhibitors/therapeutic use
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Affiliation(s)
- Naranie Shanmuganathan
- Department of Hematology, Royal Adelaide Hospital and SA Pathology, Adelaide, Australia; Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG).
| | - Carol Wadham
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide
| | - NurHezrin Shahrin
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide
| | - Jinghua Feng
- Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Daniel Thomson
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide
| | - Paul Wang
- Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Verity Saunders
- Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide
| | - Chung Hoow Kok
- Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide
| | - Rob M King
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Rosalie R Kenyon
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Ming Lin
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Ilaria S Pagani
- Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG)
| | - David M Ross
- Department of Hematology, Royal Adelaide Hospital and SA Pathology, Adelaide, Australia; Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG); Department of Hematology, Flinders University and Medical Centre, Adelaide
| | - Agnes S M Yong
- Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG); The University of Western Australia Medical School, Western Australia
| | - Andrew P Grigg
- Australasian Leukemia and Lymphoma Group (ALLG); Department of Clinical Hematology, Austin Hospital and University of Melbourne, Melbourne
| | - Anthony K Mills
- Australasian Leukemia and Lymphoma Group (ALLG); Department of Hematology, Princess Alexandra Hospital, Brisbane
| | - Anthony P Schwarer
- Australasian Leukemia and Lymphoma Group (ALLG); Department of Hematology, Box Hill Hospital, Melbourne
| | - Jodi Braley
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide
| | - Haley Altamura
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide
| | - David T Yeung
- Department of Hematology, Royal Adelaide Hospital and SA Pathology, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG)
| | - Hamish S Scott
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Andreas W Schreiber
- Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, Australia; School of Biological Sciences, University of Adelaide, Adelaide
| | - Timothy P Hughes
- Department of Hematology, Royal Adelaide Hospital and SA Pathology, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG)
| | - Susan Branford
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide
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7
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Stuckey R, Segura-Díaz A, Sáez Perdomo MN, Pérez Encinas MM, González San Miguel JD, Florido Y, Sánchez-Sosa S, López-Rodríguez JF, Bilbao-Sieyro C, Gómez-Casares MT. Presence of Myeloid Mutations in Patients with Chronic Myeloid Leukemia Increases Risk of Cardiovascular Event on Tyrosine Kinase Inhibitor Treatment. Cancers (Basel) 2023; 15:3384. [PMID: 37444494 DOI: 10.3390/cancers15133384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/14/2023] [Accepted: 06/22/2023] [Indexed: 07/15/2023] Open
Abstract
For chronic myeloid leukemia (CML) patients with a known risk of cardiovascular events (CVE), imatinib is often recommended for first-line tyrosine kinase inhibitor (TKI) treatment rather than a second-generation TKI (2G-TKI) such as nilotinib or dasatinib. To date, very few studies have evaluated the genetic predisposition associated with CVE development on TKI treatment. In this retrospective study of 102 CML patients, 26 CVEs were reported during an average follow-up of over 10 years. Next-generation sequencing identified pathogenic/likely pathogenic mutations in genes associated with myeloid malignancies in 24.5% of the diagnostic samples analyzed. Patients with a recorded CVE had more myeloid mutations (0.48 vs. 0.14, p = 0.019) and were older (65.1 vs. 55.7 years, p = 0.016). Age ≥ 60 years and receiving a 2G-TKI in first-line were CVE risk factors. The presence of a pathogenic somatic myeloid mutation was an independent risk factor for CVE on any TKI (HR 2.79, p = 0.01), and significantly shortened the CV event-free survival of patients who received first-line imatinib (by 70 months, p = 0.011). Indeed, 62% of patients on imatinib with mutations had a CVE vs. the 19% on imatinib with a mutation and no CVE. In conclusion, myeloid mutations detectable at diagnosis increase CVE risk, particularly for patients on imatinib, and might be considered for first-line TKI choice.
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Affiliation(s)
- Ruth Stuckey
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain
| | - Adrián Segura-Díaz
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain
| | | | - Manuel Mateo Pérez Encinas
- Hematology Department, Hospital Clínico Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | | | - Yanira Florido
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain
| | - Santiago Sánchez-Sosa
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain
| | | | - Cristina Bilbao-Sieyro
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain
- Morphology Department, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - María Teresa Gómez-Casares
- Hematology Department, Hospital Universitario de Gran Canaria Dr. Negrín, 35019 Las Palmas de Gran Canaria, Spain
- Department of Medical Sciences, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
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8
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Iezza M, Cortesi S, Ottaviani E, Mancini M, Venturi C, Monaldi C, De Santis S, Testoni N, Soverini S, Rosti G, Cavo M, Castagnetti F. Prognosis in Chronic Myeloid Leukemia: Baseline Factors, Dynamic Risk Assessment and Novel Insights. Cells 2023; 12:1703. [PMID: 37443737 PMCID: PMC10341256 DOI: 10.3390/cells12131703] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/17/2023] [Accepted: 06/19/2023] [Indexed: 07/15/2023] Open
Abstract
The introduction of tyrosine kinase inhibitors (TKIs) has changed the treatment paradigm of chronic myeloid leukemia (CML), leading to a dramatic improvement of the outcome of CML patients, who now have a nearly normal life expectancy and, in some selected cases, the possibility of aiming for the more ambitious goal of treatment-free remission (TFR). However, the minority of patients who fail treatment and progress from chronic phase (CP) to accelerated phase (AP) and blast phase (BP) still have a relatively poor prognosis. The identification of predictive elements enabling a prompt recognition of patients at higher risk of progression still remains among the priorities in the field of CML management. Currently, the baseline risk is assessed using simple clinical and hematologic parameters, other than evaluating the presence of additional chromosomal abnormalities (ACAs), especially those at "high-risk". Beyond the onset, a re-evaluation of the risk status is mandatory, monitoring the response to TKI treatment. Moreover, novel critical insights are emerging into the role of genomic factors, present at diagnosis or evolving on therapy. This review presents the current knowledge regarding prognostic factors in CML and their potential role for an improved risk classification and a subsequent enhancement of therapeutic decisions and disease management.
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Affiliation(s)
- Miriam Iezza
- Dipartimento di Scienze Mediche e Chirurgiche (DIMEC), Università di Bologna, 40138 Bologna, Italy; (S.C.); (C.M.); (S.D.S.); (N.T.); (S.S.); (M.C.); (F.C.)
| | - Sofia Cortesi
- Dipartimento di Scienze Mediche e Chirurgiche (DIMEC), Università di Bologna, 40138 Bologna, Italy; (S.C.); (C.M.); (S.D.S.); (N.T.); (S.S.); (M.C.); (F.C.)
| | - Emanuela Ottaviani
- Istituto di Ematologia “Seràgnoli”, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (E.O.); (M.M.); (C.V.)
| | - Manuela Mancini
- Istituto di Ematologia “Seràgnoli”, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (E.O.); (M.M.); (C.V.)
| | - Claudia Venturi
- Istituto di Ematologia “Seràgnoli”, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (E.O.); (M.M.); (C.V.)
| | - Cecilia Monaldi
- Dipartimento di Scienze Mediche e Chirurgiche (DIMEC), Università di Bologna, 40138 Bologna, Italy; (S.C.); (C.M.); (S.D.S.); (N.T.); (S.S.); (M.C.); (F.C.)
| | - Sara De Santis
- Dipartimento di Scienze Mediche e Chirurgiche (DIMEC), Università di Bologna, 40138 Bologna, Italy; (S.C.); (C.M.); (S.D.S.); (N.T.); (S.S.); (M.C.); (F.C.)
| | - Nicoletta Testoni
- Dipartimento di Scienze Mediche e Chirurgiche (DIMEC), Università di Bologna, 40138 Bologna, Italy; (S.C.); (C.M.); (S.D.S.); (N.T.); (S.S.); (M.C.); (F.C.)
- Istituto di Ematologia “Seràgnoli”, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (E.O.); (M.M.); (C.V.)
| | - Simona Soverini
- Dipartimento di Scienze Mediche e Chirurgiche (DIMEC), Università di Bologna, 40138 Bologna, Italy; (S.C.); (C.M.); (S.D.S.); (N.T.); (S.S.); (M.C.); (F.C.)
| | - Gianantonio Rosti
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS “Dino Amadori”, 47014 Meldola, Italy;
| | - Michele Cavo
- Dipartimento di Scienze Mediche e Chirurgiche (DIMEC), Università di Bologna, 40138 Bologna, Italy; (S.C.); (C.M.); (S.D.S.); (N.T.); (S.S.); (M.C.); (F.C.)
- Istituto di Ematologia “Seràgnoli”, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (E.O.); (M.M.); (C.V.)
| | - Fausto Castagnetti
- Dipartimento di Scienze Mediche e Chirurgiche (DIMEC), Università di Bologna, 40138 Bologna, Italy; (S.C.); (C.M.); (S.D.S.); (N.T.); (S.S.); (M.C.); (F.C.)
- Istituto di Ematologia “Seràgnoli”, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (E.O.); (M.M.); (C.V.)
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9
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Li N, Chen M, Yin CC. Advances in molecular evaluation of myeloproliferative neoplasms. Semin Diagn Pathol 2023; 40:187-194. [PMID: 37087305 DOI: 10.1053/j.semdp.2023.04.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/10/2023] [Accepted: 04/12/2023] [Indexed: 04/24/2023]
Abstract
Myeloproliferative neoplasms (MPN) are a group of clonal hematopoietic stem cell disorders with uncontrolled proliferation of one or more hematopoietic cell types, including myeloid, erythroid and megakaryocytic lineages, and minimal defect in maturation. Most MPN are associated with well-defined molecular abnormalities involving genes that encode protein tyrosine kinases that lead to constitutive activation of the downstream signal transduction pathways and confer cells proliferative and survival advantage. Genome-wide sequencing analyses have discovered secondary cooperating mutations that are shared by most of the MPN subtypes as well as other myeloid neoplasms and play a major role in disease progression. Without appropriate management, the natural history of most MPN consists of an initial chronic phase and a terminal blast phase. Molecular aberrations involving protein tyrosine kinases have been used for the diagnosis, classification, detection of minimal/measurable residual disease, and target therapy. We review recent advances in molecular genetic aberrations in MPN with a focus on MPN associated with gene rearrangements or mutations involving tyrosine kinase pathways.
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Affiliation(s)
- Nianyi Li
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Mingyi Chen
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States.
| | - C Cameron Yin
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
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10
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Zhu Y, Wang Z, Li Y, Peng H, Liu J, Zhang J, Xiao X. The Role of CREBBP/EP300 and Its Therapeutic Implications in Hematological Malignancies. Cancers (Basel) 2023; 15:cancers15041219. [PMID: 36831561 PMCID: PMC9953837 DOI: 10.3390/cancers15041219] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/17/2023] Open
Abstract
Disordered histone acetylation has emerged as a key mechanism in promoting hematological malignancies. CREB-binding protein (CREBBP) and E1A-binding protein P300 (EP300) are two key acetyltransferases and transcriptional cofactors that regulate gene expression by regulating the acetylation levels of histone proteins and non-histone proteins. CREBBP/EP300 dysregulation and CREBBP/EP300-containing complexes are critical for the initiation, progression, and chemoresistance of hematological malignancies. CREBBP/EP300 also participate in tumor immune responses by regulating the differentiation and function of multiple immune cells. Currently, CREBBP/EP300 are attractive targets for drug development and are increasingly used as favorable tools in preclinical studies of hematological malignancies. In this review, we summarize the role of CREBBP/EP300 in normal hematopoiesis and highlight the pathogenic mechanisms of CREBBP/EP300 in hematological malignancies. Moreover, the research basis and potential future therapeutic implications of related inhibitors were also discussed from several aspects. This review represents an in-depth insight into the physiological and pathological significance of CREBBP/EP300 in hematology.
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Affiliation(s)
- Yu Zhu
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Zi Wang
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Yanan Li
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Hongling Peng
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Jing Liu
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
| | - Ji Zhang
- The Affiliated Nanhua Hospital, Department of Clinical Laboratory, Hengyang Medical School, University of South China, Hengyang 421001, China
- Correspondence: (J.Z.); (X.X.); Tel.: +86-734-8279050 (J.Z.); +86-731-84805449 (X.X.)
| | - Xiaojuan Xiao
- Department of Hematology, The Second Xiangya Hospital, Molecular Biology Research Center, School of Life Sciences, Hunan Province Key Laboratory of Basic and Applied Hematology, Central South University, Changsha 410011, China
- Correspondence: (J.Z.); (X.X.); Tel.: +86-734-8279050 (J.Z.); +86-731-84805449 (X.X.)
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11
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Senapati J, Jabbour E, Kantarjian H, Short NJ. Pathogenesis and management of accelerated and blast phases of chronic myeloid leukemia. Leukemia 2023; 37:5-17. [PMID: 36309558 DOI: 10.1038/s41375-022-01736-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 02/01/2023]
Abstract
The treatment of chronic myeloid leukemia (CML) with tyrosine kinase inhibitors (TKIs) has been a model for cancer therapy development. Though most patients with CML have a normal quality and duration of life with TKI therapy, some patients progress to accelerated phase (AP) and blast phase (BP), both of which have a relatively poor prognosis. The rates of progression have reduced significantly from over >20% in the pre-TKI era to <5% now, largely due to refinements in CML therapy and response monitoring. Significant insights have been gained into the mechanisms of disease transformation including the role of additional cytogenetic abnormalities, somatic mutations, and other genomic alterations present at diagnosis or evolving on therapy. This knowledge is helping to optimize TKI therapy, improve prognostication and inform the development of novel combination regimens in these patients. While patients with de novo CML-AP have outcomes almost similar to CML in chronic phase (CP), those transformed from previously treated CML-CP should receive second- or third- generation TKIs and be strongly considered for allogeneic stem cell transplantation (allo-SCT). Similarly, patients with transformed CML-BP have particularly dismal outcomes with a median survival usually less than one year. Combination regimens with a potent TKI such as ponatinib followed by allo-SCT can achieve long-term survival in some transformed BP patients. Regimens including venetoclax in myeloid BP or inotuzumab ozogamicin or blinatumomab in lymphoid BP might lead to deeper and longer responses, facilitating potentially curative allo-SCT for patients with CML-BP once CP is achieved. Newer agents and novel combination therapies are further expanding the therapeutic arsenal in advanced phase CML.
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Affiliation(s)
- Jayastu Senapati
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hagop Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicholas J Short
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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12
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Genetic landscape of chronic myeloid leukemia. Int J Hematol 2023; 117:30-36. [PMID: 36477676 DOI: 10.1007/s12185-022-03510-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/01/2022] [Accepted: 12/04/2022] [Indexed: 12/13/2022]
Abstract
Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm caused by the BCR::ABL1 fusion gene, which aberrantly activates ABL1 kinase and promotes the overproduction of leukemic cells. CML typically develops in the chronic phase (CP) and progresses to a blast crisis (BC) after years without effective treatment. Although prognosis has substantially improved after the development of tyrosine kinase inhibitors (TKIs) targeting the BCR::ABL1 oncoprotein, some patients still experience TKI resistance and poor prognosis. One of the mechanisms of TKI resistance is ABL1 kinase domain mutations, which are found in approximately half of the cases, newly acquired during treatment. Moreover, genetic studies have revealed that CML patients carry additional mutations that are also observed in other myeloid neoplasms. ASXL1 mutations are often found in both CP and BC, whereas other mutations, such as those in RUNX1, IKZF1, and TP53, are preferentially found in BC. The presence of additional mutations, such as ASXL1 mutations, is a potential biomarker for predicting therapeutic efficacy. The mechanisms by which these additional mutations affect disease subtypes, drug resistance, and prognosis need to be elucidated. In this review, we have summarized and discussed the landscape and clinical impact of genetic abnormalities in CML.
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13
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Branford S, Apperley JF. Measurable residual disease in chronic myeloid leukemia. Haematologica 2022; 107:2794-2809. [PMID: 36453517 PMCID: PMC9713565 DOI: 10.3324/haematol.2022.281493] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Indexed: 12/03/2022] Open
Abstract
Chronic myeloid leukemia is characterized by a single genetic abnormality resulting in a fusion gene whose mRNA product is easily detected and quantified by reverse-transcriptase polymerase chain reaction analysis. Measuring residual disease was originally introduced to identify patients relapsing after allogeneic stem cell transplantation but rapidly adopted to quantify responses to tyrosine kinase inhibitors. Real-time quantitative polymerase chain reaction is now an essential tool for the management of patients and is used to influence treatment decisions. In this review we track this development including the international collaboration to standardize results, discuss the integration of molecular monitoring with other factors that affect patients' management, and describe emerging technology. Four case histories describe varying scenarios in which the accurate measurement of residual disease identified patients at risk of disease progression and allowed appropriate investigations and timely clinical intervention.
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Affiliation(s)
- Susan Branford
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia,School of Medicine, University of Adelaide, Adelaide, Australia,Clinical and Health Sciences, University of South Australia, Adelaide, Australia,S. Branford
| | - Jane F. Apperley
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK,Centre for Haematology, Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, UK
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14
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Shahrin NH, Wadham C, Branford S. Defining Higher-Risk Chronic Myeloid Leukemia: Risk Scores, Genomic Landscape, and Prognostication. Curr Hematol Malig Rep 2022; 17:171-180. [PMID: 35932396 PMCID: PMC9712352 DOI: 10.1007/s11899-022-00668-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW The chronic myeloid leukemia (CML) treatment success story is incomplete as some patients still fail therapy, leading to end-stage disease and death. Here we discuss recent research into CML incidence, the role of comorbidities on survival and detecting patients at risk of failing therapy. RECENT FINDINGS The incidence of CML has fallen markedly in high social-demographic index (SDI) regions of the world but there is disturbing evidence that this is not the case in low and low-middle SDI countries. Now that CML patients more frequently die from their co-morbid conditions than from CML the Adult Comorbidity Evaluation-27 score can assist in risk assessment at diagnosis. Non-adherence to therapy contributes greatly to treatment failure. A good doctor-patient relationship and social support promote good adherence, but patient age, gender, and financial burden have negative effects, suggesting avenues for intervention. Mutations in cancer-associated genes adversely affect outcome and their detection at diagnosis may guide therapeutic choice and offer non-BCR::ABL1 targeted therapies. A differential gene expression signature to assist risk detection is a highly sought-after diagnostic tool being actively researched on several fronts. Detecting patients at risk of failing therapy is being assisted by recent technological advances enabling highly sensitive genomic and expression analysis of insensitive cells. However, patient lifestyle, adherence to therapy, and comorbidities are critical risk factors that need to be addressed by interventions such as social and financial support.
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MESH Headings
- Adult
- Humans
- Fusion Proteins, bcr-abl/genetics
- Physician-Patient Relations
- Protein Kinase Inhibitors/therapeutic use
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Genomics
- Risk Factors
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Affiliation(s)
- Nur Hezrin Shahrin
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia 5000 Australia
- School of Pharmacy and Medical Science, Division of Health Sciences, University of South Australia, Adelaide, Australia
| | - Carol Wadham
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia 5000 Australia
- School of Pharmacy and Medical Science, Division of Health Sciences, University of South Australia, Adelaide, Australia
| | - Susan Branford
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia 5000 Australia
- School of Pharmacy and Medical Science, Division of Health Sciences, University of South Australia, Adelaide, Australia
- School of Medicine, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia
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15
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Ng JJ, Ong ST. Therapy Resistance and Disease Progression in CML: Mechanistic Links and Therapeutic Strategies. Curr Hematol Malig Rep 2022; 17:181-197. [PMID: 36258106 DOI: 10.1007/s11899-022-00679-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/14/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW Despite the adoption of tyrosine kinases inhibitors (TKIs) as molecular targeted therapy in chronic myeloid leukemia, some patients do not respond to treatment and even experience disease progression. This review aims to give a broad summary of advances in understanding of the mechanisms of therapy resistance, as well as management strategies that may overcome or prevent the emergence of drug resistance. Ultimately, the goal of therapy is the cure of CML, which will also require an increased understanding of the leukemia stem cell (LSC). RECENT FINDINGS Resistance to tyrosine kinase inhibitors stems from a range of possible causes. Mutations of the BCR-ABL1 fusion oncoprotein have been well-studied. Other causes range from cell-intrinsic factors, such as the inherent resistance of primitive stem cells to drug treatment, to mechanisms extrinsic to the leukemic compartment that help CML cells evade apoptosis. There exists heterogeneity in TKI response among different hematopoietic populations in CML. The abundances of these TKI-sensitive and TKI-insensitive populations differ from patient to patient and contribute to response heterogeneity. It is becoming clear that targeting the BCR-ABL1 kinase through TKIs is only one part of the equation, and TKI usage alone may not cure the majority of patients with CML. Considerable effort should be devoted to targeting the BCR-ABL1-independent mechanisms of resistance and persistence of CML LSCs.
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Affiliation(s)
- John Joson Ng
- Cancer & Stem Cell Biology Signature Research Programme, Duke-NUS Medical School, 8 College Road, Singapore, Singapore, 169857
| | - S Tiong Ong
- Cancer & Stem Cell Biology Signature Research Programme, Duke-NUS Medical School, 8 College Road, Singapore, Singapore, 169857.
- Department of Haematology, Singapore General Hospital, Singapore, Singapore.
- Department of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
- Department of Medicine, Duke University Medical Center, Durham, NC, USA.
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16
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Targeted Next-Generation Sequencing Identifies Additional Mutations Other than BCR∷ABL in Chronic Myeloid Leukemia Patients: A Chinese Monocentric Retrospective Study. Cancers (Basel) 2022; 14:cancers14235752. [PMID: 36497234 PMCID: PMC9739759 DOI: 10.3390/cancers14235752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 11/17/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022] Open
Abstract
A proportion of patients with somatic variants show resistance or intolerance to TKI therapy, indicating additional mutations other than BCR∷ABL1 may lead to TKI treatment failure or disease progression. We retrospectively evaluated 151 CML patients receiving TKI therapy and performed next-generation sequencing (NGS) analysis of 22 CML patients at diagnosis to explore the mutation spectrum other than BCR∷ABL1 affecting the achievement of molecular responses. The most frequently mutated gene was ASXL1 (40.9%). NOTCH3 and RELN mutations were only carried by subjects failing to achieve a major molecular response (MMR) at 12 months. The distribution frequency of ASXL1 mutations was higher in the group that did not achieve MR4.0 at 36 months (p = 0.023). The achievement of MR4.5 at 12 months was adversely impacted by the presence of >2 gene mutations (p = 0.024). In the analysis of clinical characteristics, hemoglobin concentration (HB) and MMR were independent factors for deep molecular response (DMR), and initial 2GTKI therapy was better than 1GTKI in the achievement of molecular response. For the scoring system, we found the ELTS score was the best for predicting the efficacy of TKI therapy and the Socal score was the best for predicting mutations other than BCR∷ABL.
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17
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Soverini S. EXABS-114-CML Non BCR::ABL1 Mutations in CML: Do They Matter? CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2022; 22 Suppl 2:S15-S17. [PMID: 36163713 DOI: 10.1016/s2152-2650(22)00646-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Simona Soverini
- Department of Experimental, Diagnostic and Specialty Medicine, Hematology "Lorenzo e Ariosto Seràgnoli", University of Bologna, Bologna, Italy
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18
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ASXL1 mutations predict inferior molecular response to nilotinib treatment in chronic myeloid leukemia. Leukemia 2022; 36:2242-2249. [PMID: 35902731 PMCID: PMC9417980 DOI: 10.1038/s41375-022-01648-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 06/21/2022] [Accepted: 07/01/2022] [Indexed: 12/17/2022]
Abstract
Gene mutations independent of BCR::ABL1 have been identified in newly diagnosed patients with chronic myeloid leukemia (CML) in chronic phase, whereby mutations in epigenetic modifier genes were most common. These findings prompted the systematic analysis of prevalence, dynamics, and prognostic significance of such mutations, in a clinically well-characterized patient population of 222 CML patients from the TIGER study (CML-V) by targeted next-generation sequencing covering 54 myeloid leukemia-associated genes. In total, 53/222 CML patients (24%) carried 60 mutations at diagnosis with ASXL1 being most commonly affected (n = 20). To study mutation dynamics, longitudinal deep sequencing analysis of serial samples was performed in 100 patients after 12, 24, and 36 months of therapy. Typical patterns of clonal evolution included eradication, persistence, and emergence of mutated clones. Patients carrying an ASXL1 mutation at diagnosis showed a less favorable molecular response to nilotinib treatment, as a major molecular response (MMR) was achieved less frequently at month 12, 18, and 24 compared to all other patients. Patients with ASXL1 mutations were also younger and more frequently found in the high risk category, suggesting a central role of clonal evolution associated with ASXL1 mutations in CML pathogenesis.
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Jabbour E, Kantarjian H. Chronic Myeloid Leukemia: 2022 Update on Diagnosis, Therapy and Monitoring. Am J Hematol 2022; 97:1236-1256. [PMID: 35751859 DOI: 10.1002/ajh.26642] [Citation(s) in RCA: 77] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 06/18/2022] [Indexed: 11/08/2022]
Abstract
DISEASE OVERVIEW Chronic Myeloid Leukemia (CML) is a myeloproliferative neoplasm with an incidence of 1-2 cases per 100,000 adults. It accounts for approximately 15% of newly diagnosed cases of leukemia in adults DIAGNOSIS: CML is characterized by a balanced genetic translocation, t (9;22) (q34;q11.2), involving a fusion of the Abelson gene (ABL1) from chromosome 9q34 with the breakpoint cluster region (BCR) gene on chromosome 22q11.2. This rearrangement is known as the Philadelphia chromosome. The molecular consequence of this translocation is the generation of a BCR::ABL1 fusion oncogene, which in turn translates into a BCR::ABL1 oncoprotein. FRONTLINE THERAPY Four tyrosine kinase inhibitors (TKIs), imatinib, dasatinib, bosutinib, and nilotinib are approved by the United States Food and Drug Administration for first-line treatment of newly diagnosed CML in chronic phase (CML-CP). Clinical trials with second generation TKIs reported significantly deeper and faster responses but had no impact on survival prolongation, likely because of the availability of effective TKIs salvage therapies for patients who have a cytogenetic relapse with frontline TKI therapy. SALVAGE THERAPY For CML post failure on frontline therapy, second-line options include second and third generation TKIs. Although potent and selective, these TKIs exhibit unique pharmacological profiles and response patterns relative to different patient and disease characteristics, such as patients' comorbidities, disease stage, and BCR::ABL1 mutational status. Patients who develop the T315I "gatekeeper" mutation display resistance to all currently available TKIs except ponatinib, asciminib, and olverembatinib. Allogeneic stem cell transplantation remains an important therapeutic option for patients with CML-CP and failure (due to resistance) of at least 2 TKIs, and for all patients in advanced phase disease. Older patients who have a cytogenetic relapse post failure on all TKIs can maintain long-term survival if they continue a daily most effective/least toxic TKI, with or without the addition of non-TKI anti-CML agents (hydroxyurea, omacetaxine, azacitidine, decitabine, cytarabine, busulfan, others). This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Elias Jabbour
- Department of Leukemia, The University of Texas M. D. Anderson Cancer Center, Houston, Texas
| | - Hagop Kantarjian
- Department of Leukemia, The University of Texas M. D. Anderson Cancer Center, Houston, Texas
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20
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Predictive scoring systems for molecular responses in persons with chronic phase chronic myeloid leukemia receiving initial imatinib therapy. Leukemia 2022; 36:2042-2049. [PMID: 35650426 DOI: 10.1038/s41375-022-01616-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/17/2022] [Accepted: 05/25/2022] [Indexed: 11/09/2022]
Abstract
It is vital for physicians and persons with chronic myeloid leukemia (CML) to accurately predict the likelihood of achieving a major molecular response (MMR) and a deep molecular response (DMR; at least MR4) at the start of imatinib-therapy, which could help in decision making of treatment goals and strategies. To answer this question, we interrogated data from 1369 consecutive subjects with chronic phase CML receiving initial imatinib-therapy to identify predictive co-variates. Subjects were randomly-assigned to training (n = 913) and validation (n = 456) datasets. Male sex, higher WBC concentration, lower haemoglobin concentration, higher percentage blood blasts and larger spleen size were significantly-associated with lower cumulative incidences of MMR and MR4 in training dataset. Using Fine-Gray model, we developed the predictive scoring systems for MMR and MR4 which classified subjects into the low-, intermediate- and high-risk cohorts with significantly-different cumulative incidences of MMR and MR4 with good predictive discrimination and accuracy in training and validation cohorts with high area under the receiver-operator characteristic curve (AUROC) values. These data may help physicians decide appropriateness of initial imatinib therapy.
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21
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Shanmuganathan N, Wadham C, Thomson D, Shahrin NH, Vignaud C, Obourn V, Chaturvedi S, Yang F, Feng J, Saunders V, Kok CH, Yeung D, King RM, Kenyon RR, Lin M, Wang P, Scott H, Hughes T, Schreiber AW, Branford S. RNA-Based Targeted Gene Sequencing Improves the Diagnostic Yield of Mutant Detection in Chronic Myeloid Leukemia. J Mol Diagn 2022; 24:803-822. [PMID: 35550185 DOI: 10.1016/j.jmoldx.2022.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 04/05/2022] [Accepted: 04/14/2022] [Indexed: 11/28/2022] Open
Abstract
Mutation detection is increasingly used for the management of hematological malignancies. Prior whole transcriptome and whole exome sequencing studies using total RNA and DNA identified diverse mutation types in cancer-related genes associated with treatment failure in patients with chronic myeloid leukemia. Variants included single-nucleotide variants and small insertions/deletions, plus fusion transcripts and partial or whole gene deletions. The hypothesis that all of these mutation types could be detected by a single cost-effective hybridization capture next-generation sequencing method using total RNA was assessed. A method was developed that targeted 130 genes relevant for myeloid and lymphoid leukemia. Retrospective samples with 121 precharacterized variants were tested using total RNA and/or DNA. Concordance of detection of precharacterized variants using RNA or DNA was 96%, whereas the enhanced sensitivity identified additional variants. Comparison between 24 matched DNA and RNA samples demonstrated 95.3% of 170 variants detectable using DNA were detected using RNA, including all but one variant predicted to activate nonsense-mediated decay. RNA identified an additional 10 variants, including fusion transcripts. Furthermore, the true effect of splice variants on RNA splicing was only evident using RNA. In conclusion, capture sequencing using total RNA alone is suitable for detecting a range of variants relevant in chronic myeloid leukemia and may be more broadly applied to other hematological malignancies where diverse variant types define risk groups.
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Affiliation(s)
- Naranie Shanmuganathan
- Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, South Australia, Australia; Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia; Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
| | - Carol Wadham
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | - Daniel Thomson
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | - Nur H Shahrin
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | | | - Vanessa Obourn
- Novartis Institutes for Biomedical Research, Cambridge, Massachusetts
| | | | - Feng Yang
- Novartis Institutes for Biomedical Research, Cambridge, Massachusetts
| | - Jinghua Feng
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | - Verity Saunders
- Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Chung H Kok
- Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia; Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - David Yeung
- Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, South Australia, Australia; Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia; Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Rob M King
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | - Rosalie R Kenyon
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | - Ming Lin
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | - Paul Wang
- Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | - Hamish Scott
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | - Timothy Hughes
- Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, South Australia, Australia; Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia; Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Andreas W Schreiber
- Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia; School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Susan Branford
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia; Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
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22
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Adnan Awad S, Brück O, Shanmuganathan N, Jarvinen T, Lähteenmäki H, Klievink J, Ibrahim H, Kytölä S, Koskenvesa P, Hughes TP, Branford S, Kankainen M, Mustjoki S. Epigenetic modifier gene mutations in chronic myeloid leukemia (CML) at diagnosis are associated with risk of relapse upon treatment discontinuation. Blood Cancer J 2022; 12:69. [PMID: 35443743 PMCID: PMC9021312 DOI: 10.1038/s41408-022-00667-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 03/29/2022] [Accepted: 03/30/2022] [Indexed: 11/17/2022] Open
Affiliation(s)
- Shady Adnan Awad
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland. .,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland. .,iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland. .,Clinical Pathology Department, National Cancer Institute, Cairo University, Giza, Egypt.
| | - Oscar Brück
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland
| | - Naranie Shanmuganathan
- Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, SA, Australia.,Department of Genetics and Molecular Pathology and Centre for Cancer Biology, SA Pathology, Adelaide, SA, Australia.,Precision Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia.,School of Pharmacy and Medical Science, University of South Australia, Adelaide, SA, Australia.,School of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - Timo Jarvinen
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland
| | - Hanna Lähteenmäki
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland
| | - Jay Klievink
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland
| | - Hazem Ibrahim
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Soili Kytölä
- HUS Diagnostic Center, HUSLAB, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Perttu Koskenvesa
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
| | - Timothy P Hughes
- Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, SA, Australia.,Precision Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia.,School of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - Susan Branford
- Department of Genetics and Molecular Pathology and Centre for Cancer Biology, SA Pathology, Adelaide, SA, Australia.,Precision Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia.,School of Pharmacy and Medical Science, University of South Australia, Adelaide, SA, Australia.,School of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - Matti Kankainen
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland
| | - Satu Mustjoki
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland. .,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland. .,iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland.
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23
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The association of genetic alterations with response rate in newly diagnosed chronic myeloid leukemia patients. Leuk Res 2022; 114:106791. [DOI: 10.1016/j.leukres.2022.106791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 01/09/2022] [Accepted: 01/17/2022] [Indexed: 11/23/2022]
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24
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Masuda T, Maeda S, Shimada S, Sakuramoto N, Morita K, Koyama A, Suzuki K, Mitsuda Y, Matsuo H, Kubota H, Kato I, Tanaka K, Takita J, Hirata M, Kataoka TR, Nakahata T, Adachi S, Hirai H, Mizuta S, Naka K, Imai Y, Kimura S, Sugiyama H, Kamikubo Y. RUNX1 transactivates BCR-ABL1 expression in Philadelphia chromosome positive acute lymphoblastic leukemia. Cancer Sci 2021; 113:529-539. [PMID: 34902205 PMCID: PMC8819354 DOI: 10.1111/cas.15239] [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: 08/12/2021] [Revised: 11/11/2021] [Accepted: 11/29/2021] [Indexed: 01/18/2023] Open
Abstract
The emergence of tyrosine kinase inhibitors as part of a front‐line treatment has greatly improved the clinical outcome of the patients with Ph+ acute lymphoblastic leukemia (ALL). However, a portion of them still become refractory to the therapy mainly through acquiring mutations in the BCR‐ABL1 gene, necessitating a novel strategy to treat tyrosine kinase inhibitor (TKI)‐resistant Ph+ ALL cases. In this report, we show evidence that RUNX1 transcription factor stringently controls the expression of BCR‐ABL1, which can strategically be targeted by our novel RUNX inhibitor, Chb‐M'. Through a series of in vitro experiments, we identified that RUNX1 binds to the promoter of BCR and directly transactivates BCR‐ABL1 expression in Ph+ ALL cell lines. These cells showed significantly reduced expression of BCR‐ABL1 with suppressed proliferation upon RUNX1 knockdown. Moreover, treatment with Chb‐M' consistently downregulated the expression of BCR‐ABL1 in these cells and this drug was highly effective even in an imatinib‐resistant Ph+ ALL cell line. In good agreement with these findings, forced expression of BCR‐ABL1 in these cells conferred relative resistance to Chb‐M'. In addition, in vivo experiments with the Ph+ ALL patient‐derived xenograft cells showed similar results. In summary, targeting RUNX1 therapeutically in Ph+ ALL cells may lead to overcoming TKI resistance through the transcriptional regulation of BCR‐ABL1. Chb‐M' could be a novel drug for patients with TKI‐resistant refractory Ph+ ALL.
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Affiliation(s)
- Tatsuya Masuda
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shintaro Maeda
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Sae Shimada
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Naoya Sakuramoto
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ken Morita
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Asami Koyama
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kensho Suzuki
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yoshihide Mitsuda
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hidemasa Matsuo
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hirohito Kubota
- Department of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Itaru Kato
- Department of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kuniaki Tanaka
- Department of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Junko Takita
- Department of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masahiro Hirata
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - Tatsuki R Kataoka
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - Tatsutoshi Nakahata
- Department of Clinical Application, Center for iPS Cell Research and Application, Kyoto University, Kyoto, Japan
| | - Souichi Adachi
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hideyo Hirai
- Department of Transfusion Medicine and Cell Therapy, Kyoto University Hospital, Kyoto, Japan
| | - Shuichi Mizuta
- Hematology & Immunology, Kanazawa Medical University, Uchinada, Kahoku-gun, Japan
| | - Kazuhito Naka
- Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Yoichi Imai
- Department of Hematology/Oncology, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Shinya Kimura
- Faculty of Medicine, Division of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Saga University, Saga, Japan
| | - Hiroshi Sugiyama
- Department of Chemistry, Graduate School of Science, Kyoto University, Kyoto, Japan
| | - Yasuhiko Kamikubo
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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25
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Amir M, Javed S. A Review on the Therapeutic Role of TKIs in Case of CML in Combination With Epigenetic Drugs. Front Genet 2021; 12:742802. [PMID: 34745216 PMCID: PMC8569791 DOI: 10.3389/fgene.2021.742802] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 09/30/2021] [Indexed: 01/09/2023] Open
Abstract
Chronic myeloid leukemia is a malignancy of bone marrow that affects white blood cells. There is strong evidence that disease progression, treatment responses, and overall clinical outcomes of CML patients are influenced by the accumulation of other genetic and epigenetic abnormalities, rather than only the BCR/ABL1 oncoprotein. Both genetic and epigenetic factors influence the efficacy of CML treatment strategies. Targeted medicines known as tyrosine-kinase inhibitors have dramatically improved long-term survival rates in CML patients during the previous 2 decades. When compared to earlier chemotherapy treatments, these drugs have revolutionized CML treatment and allowed most people to live longer lives. Although epigenetic inhibitors' activity is disrupted in many cancers, including CML, but when combined with TKI, they may offer potential therapeutic strategies for the treatment of CML cells. The epigenetics of tyrosine kinase inhibitors and resistance to them is being studied, with a particular focus on imatinib, which is used to treat CML. In addition, the use of epigenetic drugs in conjunction with TKIs has been discussed. Resistance to TKIs is still a problem in curing the disease, necessitating the development of new therapies. This study focused on epigenetic pathways involved in CML pathogenesis and tumor cell resistance to TKIs, both of which contribute to leukemic clone breakout and proliferation.
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Affiliation(s)
| | - Saleem Javed
- Department of Biochemistry, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, India
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26
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Which Tyrosine Kinase Inhibitors Should Be Selected as the First-Line Treatment for Chronic Myelogenous Leukemia in Chronic Phase? Cancers (Basel) 2021; 13:cancers13205116. [PMID: 34680265 PMCID: PMC8534191 DOI: 10.3390/cancers13205116] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 10/09/2021] [Accepted: 10/09/2021] [Indexed: 01/06/2023] Open
Abstract
Simple Summary This review discusses the optimal selection of BCR-ABL1 tyrosine kinase inhibitors (TKIs) as the first-line treatment for newly diagnosed chronic myelogenous leukemia in chronic phase (CML-CP). With the advent of TKIs, the treatment goals for CML-CP patients have changed from “simply survival” to “survival with adequate quality of life”, hence the number of CML-CP patients aiming to achieve treatment-free remission has increased, irrespective of age or comorbidities. Therefore, optimal selection of TKIs for maximizing the number of patients to achieve treatment-free remission is an important factor for consideration in future studies. To this end, we must understand the advantages and disadvantages of each TKI in terms of treatment response, disease risk at diagnosis, comorbidities, and medical expenses, and use of effective 2GTKIs based on patient background. This review provides insights into “shared decision-making” in individual cases, including the elderly population. Abstract With the use of tyrosine kinase inhibitors (TKIs), chronic myelogenous leukemia in chronic phase (CML-CP) has been transformed into a non-fatal chronic disease. Hence, “treatment-free remission (TFR)” has become a possible treatment goal of patients with CML-CP. Currently, four types of TKIs (imatinib, nilotinib, dasatinib, and bosutinib) are used as the first-line treatment for newly diagnosed CML-CP. However, the second-generation TKI (2GTKI), the treatment response of which is faster and deeper than that of imatinib, is not always recommended as the first-line treatment for CML-CP. Factors involved in TKI selection in the first-line treatment of CML-CP include not only patients’ medical background, but also patients’ choice regarding the desired treatment goal (survival or TFR?). Therefore, it is important that clinicians select an appropriate TKI to successfully achieve the desired treatment goal for each patient, while minimizing the development of adverse events. This review compares the pros and cons of using imatinib and 2GTKI for TKI selection as the first-line treatment for CML-CP, mainly considering treatment outcomes, medical history (i.e., desire for pregnancy, aging factor, and comorbidity), and cost. The optimal use of 2GTKIs is also discussed.
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27
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Meng FJ, Guo F, Sun ZN, Wang SJ, Yang CR, Wang CY, Zhang WC, Gao ZY, Ji LL, Feng FK, Guan ZY, Wang GS. Downregulation of DNMT3a expression by RNAi and its effect on NF-κBs expression of thymic epithelial cells. Immunol Lett 2021; 237:17-26. [PMID: 34192561 DOI: 10.1016/j.imlet.2021.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 06/11/2021] [Accepted: 06/23/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To understand the characteristics of DNA methyltransferase 3a (DNMT3a) in thymoma associated Myasthenia Gravis reveal its transcriptional regulator network as while as analyze the effect of DNMT3a on Rel/ nuclear factor-kappaB family (RelA/RelB) and its downstream autoimmune regulatory factor (Aire). METHODS Tissues of 30 patients with thymoma, with or without myasthenia gravis (MG), were collected and the DNMT3a protein expression were evaluated through immunohistochemistry. We performed mRNA expression profiling microarray detection and analysis, and integrated the analysis by constructing protein-protein interaction networks and the integration with other database. We identified molecular difference between low and high DNMT3a in the thymoma by heatmap. We also performed PCR validation in thymoma tissues. The DNMT3a-shRNA plasmid was transfected into TEC cells, and these cells were treated with 5-aza-2-deoxycytidine, a blocker of DNMT3a. After the down-regulation of DNMT3a in TEC cells, the transcript and protein levels of RelA, RelB, Aire, and CHRNA3 were evaluated by western blotting. In addition, changes in gene expression profiles were screened through microarray technology. We performed differential gene analysis in the thymoma cohort by heatmap with R (v.4.3.0) software. RESULTS In 30 matched tissue specimens, the expression of DNMT3a protein in thymoma with MG was lower than that in thymoma. Through mRNA expression profiling analysis, we constructed a co-expression network of DNMT3a and found direct interaction between IKZF1 and DNMT3a, and this co-expression relationship was overlappted with Cistrome DB database. We found up-regulation of 149 mRNAs and repression of 177 mRNAs in thymoma with MG compared with thymoma. Gene ontology and pathway analysis show the involvement of a multitude of genes in the mis-regulation of MG-related pathways. RNA interference significantly reduced the level of mRNA of DNMT3a, which proved that plasmid DNMT3a was effective. In comparison to the control group, the levels of DNMT3a, Aire, and CHRNA3 mRNA and protein in TEC cells transfected with DNMT3a-shRNA interference plasmid were significantly decreased, while the expression level of RelA and RelA/RelB was significantly increased. CONCLUSIONS Our study reveals the DNMT3a-NF-κB pathway has a major effect on MG, and can be used as a marker for diagnosis as well as a target for MG treatment.
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Affiliation(s)
- Fan-Jie Meng
- Baodi Clinical College of Tianjin Medical University, Tianjin Baodi Hospital, Tianjin 301800, China
| | - Feng Guo
- Department of Endoscopy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Zhao-Nan Sun
- Tianjin Medical University General Hospital, Tianjin 300052, China
| | | | - Chun-Rui Yang
- The Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Chun-Yang Wang
- Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Wen-Cheng Zhang
- Baodi Clinical College of Tianjin Medical University, Tianjin Baodi Hospital, Tianjin 301800, China
| | - Zhou-Yong Gao
- Baodi Clinical College of Tianjin Medical University, Tianjin Baodi Hospital, Tianjin 301800, China
| | - Lin-Lin Ji
- Baodi Clinical College of Tianjin Medical University, Tianjin Baodi Hospital, Tianjin 301800, China
| | - Fu-Kai Feng
- Baodi Clinical College of Tianjin Medical University, Tianjin Baodi Hospital, Tianjin 301800, China
| | - Zhi-Yu Guan
- The Second Hospital of Tianjin Medical University, Tianjin 300211, China.
| | - Guang-Shun Wang
- Baodi Clinical College of Tianjin Medical University, Tianjin Baodi Hospital, Tianjin 301800, China.
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Why chronic myeloid leukaemia cannot be cured by tyrosine kinase-inhibitors. Leukemia 2021; 35:2199-2204. [PMID: 34002028 DOI: 10.1038/s41375-021-01272-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/24/2021] [Accepted: 04/28/2021] [Indexed: 01/29/2023]
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29
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DNA Methylation and Intra-Clonal Heterogeneity: The Chronic Myeloid Leukemia Model. Cancers (Basel) 2021; 13:cancers13143587. [PMID: 34298798 PMCID: PMC8307727 DOI: 10.3390/cancers13143587] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/09/2021] [Accepted: 07/13/2021] [Indexed: 01/24/2023] Open
Abstract
Chronic Myeloid Leukemia (CML) is a model to investigate the impact of tumor intra-clonal heterogeneity in personalized medicine. Indeed, tyrosine kinase inhibitors (TKIs) target the BCR-ABL fusion protein, which is considered the major CML driver. TKI use has highlighted the existence of intra-clonal heterogeneity, as indicated by the persistence of a minority subclone for several years despite the presence of the target fusion protein in all cells. Epigenetic modifications could partly explain this heterogeneity. This review summarizes the results of DNA methylation studies in CML. Next-generation sequencing technologies allowed for moving from single-gene to genome-wide analyses showing that methylation abnormalities are much more widespread in CML cells. These data showed that global hypomethylation is associated with hypermethylation of specific sites already at diagnosis in the early phase of CML. The BCR-ABL-independence of some methylation profile alterations and the recent demonstration of the initial intra-clonal DNA methylation heterogeneity suggests that some DNA methylation alterations may be biomarkers of TKI sensitivity/resistance and of disease progression risk. These results also open perspectives for understanding the epigenetic/genetic background of CML predisposition and for developing new therapeutic strategies.
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30
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Romzova M, Smitalova D, Hynst J, Tom N, Loja T, Herudkova Z, Jurcek T, Stejskal L, Zackova D, Mayer J, Racil Z, Culen M. Hierarchical distribution of somatic variants in newly diagnosed chronic myeloid leukaemia at diagnosis and early follow-up. Br J Haematol 2021; 194:604-612. [PMID: 34212373 DOI: 10.1111/bjh.17659] [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: 02/03/2021] [Revised: 05/28/2021] [Accepted: 06/01/2021] [Indexed: 11/30/2022]
Abstract
There is an emerging body of evidence that patients with chronic myeloid leukaemia (CML) may carry not only breakpoint cluster region-Abelson murine leukaemia viral oncogene homologue 1 (BCR-ABL1) kinase domain mutations (BCR-ABL1 KD mutations), but also mutations in other genes. Their occurrence is highest during progression or at failure, but their impact at diagnosis is unclear. In the present study, we prospectively screened for mutations in 18 myeloid neoplasm-associated genes and BCR-ABL1 KD in the following populations: bulk leucocytes, CD34+ CD38+ progenitors and CD34+ CD38- stem cells, at diagnosis and early follow-up. In our cohort of chronic phase CML patients, nine of 49 patients harboured somatic mutations in the following genes: six ASXL1 mutations, one SETBP1, one TP53, one JAK2, but no BCR-ABL1 KD mutations. In seven of the nine patients, mutations were detected in multiple hierarchical populations including bulk leucocytes at diagnosis. The mutation dynamics reflected the BCR-ABL1 transcript decline induced by treatment in eight of the nine cases, suggesting that mutations were acquired in the Philadelphia chromosome (Ph)-positive clone. In one patient, the JAK2 V617F mutation correlated with a concomitant Ph-negative myeloproliferative neoplasm and persisted despite a 5-log reduction of the BCR-ABL1 transcript. Only two of the nine patients with mutations failed first-line therapy. No correlation was found between the mutation status and survival or response outcomes.
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Affiliation(s)
- Marianna Romzova
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Dagmar Smitalova
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic.,Department of Internal Medicine, Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jakub Hynst
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic.,Department of Internal Medicine, Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Nikola Tom
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic.,Department of Internal Medicine, Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Tomas Loja
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Zdenka Herudkova
- Department of Internal Medicine, Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Tomas Jurcek
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic
| | - Lukas Stejskal
- Department of Hemato-Oncology, University Hospital, Ostrava, Czech Republic
| | - Daniela Zackova
- Department of Internal Medicine, Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.,Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic
| | - Jiri Mayer
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic.,Department of Internal Medicine, Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.,Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic
| | - Zdenek Racil
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic.,Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Martin Culen
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic.,Department of Internal Medicine, Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.,Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic
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31
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Mutation accumulation in cancer genes relates to nonoptimal outcome in chronic myeloid leukemia. Blood Adv 2021; 4:546-559. [PMID: 32045476 DOI: 10.1182/bloodadvances.2019000943] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 12/18/2019] [Indexed: 12/24/2022] Open
Abstract
Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm accounting for ∼15% of all leukemia. Progress of the disease from an indolent chronic phase to the more aggressive accelerated phase or blast phase (BP) occurs in a minority of cases and is associated with an accumulation of somatic mutations. We performed genetic profiling of 85 samples and transcriptome profiling of 12 samples from 59 CML patients. We identified recurrent somatic mutations in ABL1 (37%), ASXL1 (26%), RUNX1 (16%), and BCOR (16%) in the BP and observed that mutation signatures in the BP resembled those of acute myeloid leukemia (AML). We found that mutation load differed between the indolent and aggressive phases and that nonoptimal responders had more nonsilent mutations than did optimal responders at the time of diagnosis, as well as in follow-up. Using RNA sequencing, we identified other than BCR-ABL1 cancer-associated hybrid genes in 6 of the 7 BP samples. Uncovered expression alterations were in turn associated with mechanisms and pathways that could be targeted in CML management and by which somatic alterations may emerge in CML. Last, we showed the value of genetic data in CML management in a personalized medicine setting.
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Clonal evolution and clinical implications of genetic abnormalities in blastic transformation of chronic myeloid leukaemia. Nat Commun 2021; 12:2833. [PMID: 33990592 PMCID: PMC8121838 DOI: 10.1038/s41467-021-23097-w] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 04/15/2021] [Indexed: 12/30/2022] Open
Abstract
Blast crisis (BC) predicts dismal outcomes in patients with chronic myeloid leukaemia (CML). Although additional genetic alterations play a central role in BC, the landscape and prognostic impact of these alterations remain elusive. Here, we comprehensively investigate genetic abnormalities in 136 BC and 148 chronic phase (CP) samples obtained from 216 CML patients using exome and targeted sequencing. One or more genetic abnormalities are found in 126 (92.6%) out of the 136 BC patients, including the RUNX1-ETS2 fusion and NBEAL2 mutations. The number of genetic alterations increase during the transition from CP to BC, which is markedly suppressed by tyrosine kinase inhibitors (TKIs). The lineage of the BC and prior use of TKIs correlate with distinct molecular profiles. Notably, genetic alterations, rather than clinical variables, contribute to a better prediction of BC prognosis. In conclusion, genetic abnormalities can help predict clinical outcomes and can guide clinical decisions in CML. In chronic myeloid leukaemia (CML), the drivers of blast crisis and resistance to tyrosine kinase inhibitors are not fully characterised. Here, the authors analyse a cohort of CML samples with genomic technologies and find that at least one driver alteration is associated with progression and worse prognosis.
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Adnan-Awad S, Kankainen M, Mustjoki S. Mutational landscape of chronic myeloid leukemia: more than a single oncogene leukemia. Leuk Lymphoma 2021; 62:2064-2078. [PMID: 33944660 DOI: 10.1080/10428194.2021.1894652] [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] [Indexed: 10/21/2022]
Abstract
The BCR-ABL1 fusion gene, which causes aberrant kinase activity and uncontrolled cell proliferation, is the hallmark of chronic myeloid leukemia (CML). The development of tyrosine kinase inhibitors (TKI) that target the BCR-ABL oncoprotein has led to dramatic improvement in CML management. However, some challenges remain to be addressed in the TKI era, including patient stratification and the selection of frontline TKIs and CML progression. Additionally, with the emerging goal of treatment-free remission (TFR) in CML management, biomarkers that predict the outcomes of stopping TKI remain to be identified. Notably, recent reports have revealed the power of genome screening in understanding the role of genome aberrations other than BCR-ABL1 in CML pathogenesis. These studies have discovered the presence of disease-phase specific mutations and linked certain mutations to inferior responses to TKI treatment and CML progression. A personalized approach that incorporates genetic data in tailoring treatment strategies has been successfully implemented in acute leukemia, and it represents a promising approach for the management of high-risk CML patients. In this article, we will review current knowledge about the mutational profile in different phases of CML as well as patterns of mutational dynamics in patients having different outcomes. We highlight the effects of somatic mutations involving certain genes (e.g. epigenetic modifiers) on the outcomes of TKI treatment. We also discuss the potential value of incorporating genetic data in treatment decisions and the routine care of CML patients as a future direction for optimizing CML management.
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Affiliation(s)
- Shady Adnan-Awad
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland
| | - Matti Kankainen
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland
| | - Satu Mustjoki
- Hematology Research Unit Helsinki, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland
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Sant'Antonio E, Camerini C, Rizzo V, Musolino C, Allegra A. Genetic Heterogeneity in Chronic Myeloid Leukemia: How Clonal Hematopoiesis and Clonal Evolution May Influence Prognosis, Treatment Outcome, and Risk of Cardiovascular Events. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2021; 21:573-579. [PMID: 34078586 DOI: 10.1016/j.clml.2021.04.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 04/18/2021] [Accepted: 04/23/2021] [Indexed: 12/17/2022]
Abstract
Chronic myeloid leukemia (CML) has long been considered as a model of cancer caused by a single-driver genetic lesion (BCR/ABL1 rearrangement) that codes for a unique, gain-of-function, deregulated protein. However, in the last decade, high-throughput sequencing technologies have shed light on a more complex genetic landscape, in which additional mutations may be found in different disease phases, including diagnosis. These genetic lesions may even precede the occurrence of the Philadelphia (Ph) chromosome, pointing to an antecedent premalignant state of clonal hematopoiesis (CH) at least in some patients. Preliminary data support the hypothesis that the most frequent CH-associated mutations (DNMT3A, TET2, and ASXL1) may be associated with a risk of vascular event, but a definitive answer for this topic is still lacking. Moreover, several recent studies have linked a much more complex genetic background in chronic-phase CML, including signs of clonal evolution over time, with depth of treatment responses or with patient survival. In the present review, we address the current state of the art on age-related CH, its association with cardiovascular risk, and its pathophysiology; review the current knowledge on CH that precedes the acquisition of the Ph chromosome in CML patients; and discuss available evidence on the prognostic and predictive value of additional mutations in chronic-phase CML, either as a sign of clonal dynamics under treatment or as markers of an antecedent CH.
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Affiliation(s)
- Emanuela Sant'Antonio
- Division of Hematology, Azienda USL Toscana Nord Ovest, Ospedale San Luca, Lucca, Italy.
| | - Chiara Camerini
- Division of Hematology, Azienda USL Toscana Nord Ovest, Ospedale San Luca, Lucca, Italy.
| | - Vincenzo Rizzo
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
| | - Caterina Musolino
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood "Gaetano Barresi", University of Messina, Messina, Italy.
| | - Alessandro Allegra
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood "Gaetano Barresi", University of Messina, Messina, Italy.
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Li T, Li X, Chen H, Huang KZ, Xie Q, Ge HY, Gao SM, Feng JH, Yang JJ, Chen ZG, Zheng XQ. Higher Red Blood Cell Distribution Width is a Poor Prognostic Factor for Patients with Chronic Myeloid Leukemia. Cancer Manag Res 2021; 13:1233-1243. [PMID: 33603469 PMCID: PMC7882436 DOI: 10.2147/cmar.s288589] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 01/25/2021] [Indexed: 12/24/2022] Open
Abstract
Purpose Red blood cell distribution width (RDW) has been considered as a potential indicator of the effects of treatment or as a prognostic indicator for various malignancies. Most chronic myeloid leukemia (CML) patients are in the chronic phase, but some have transformed to accelerated phase or blast phase (blast crisis). However, the clinical significance of RDW in CML remains limited. Patients and Methods In the present study, detailed clinical information and the RDW of 168 healthy people and 153 CML patients (106 patients for the training cohort and 47 patients for the validation cohort) were retrospectively assessed. Results Multivariate analysis demonstrated that patient age (OR, 1.081; 95CI% 1.039~1.125; p < 0.001), platelet counts (OR, 0.997; 95CI% 0.994~0.999; p = 0.001) and RDW at admission (OR,1.469; 95CI% 1.121~1.925; p = 0.005) were significantly associated with the patients with advanced phase. Among CML patients in the chronic phase, higher RDW was significantly associated with overall survival (OS; p = 0.0008) and the event-free survival (EFS; p = 0.0221) among CML patients with chronic phase, but not with Transformation-free survival (TFS; p = 0.0821). Furthermore, higher RDW was associated with higher mortality compared to patients with low RDW (CML-associated deaths; p < 0.0001). In addition, a decline in RDW is associated with the treatment of CML patients with tyrosine kinase inhibitors, especially at 6 and 12 months after the start of treatment. Conclusion Higher RDW is a potential prognostic biomarker for chronic CML patients.
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Affiliation(s)
- Tao Li
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The Key Laboratory of Laboratory Medicine, Ministry of Education of China, Wenzhou, Zhejiang, People's Republic of China
| | - Xin Li
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Hui Chen
- Department of Emergency, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Kai-Zhao Huang
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Qi Xie
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The Key Laboratory of Laboratory Medicine, Ministry of Education of China, Wenzhou, Zhejiang, People's Republic of China
| | - Han-Yu Ge
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Shen-Meng Gao
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Jian-Hua Feng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Jun-Jun Yang
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Zhan-Guo Chen
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Xiao-Qun Zheng
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The Key Laboratory of Laboratory Medicine, Ministry of Education of China, Wenzhou, Zhejiang, People's Republic of China
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36
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Etienne G, Dulucq S, Bauduer F, Adiko D, Lifermann F, Dagada C, Lenoir C, Schmitt A, Klein E, Madene S, Fort MP, Bijou F, Moldovan M, Turcq B, Robbesyn F, Durrieu F, Versmée L, Katsahian S, Faberes C, Lascaux A, Mahon FX. Incidences of Deep Molecular Responses and Treatment-Free Remission in de Novo CP-CML Patients. Cancers (Basel) 2020; 12:cancers12092521. [PMID: 32899879 PMCID: PMC7565328 DOI: 10.3390/cancers12092521] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 08/26/2020] [Accepted: 08/29/2020] [Indexed: 12/20/2022] Open
Abstract
Simple Summary Tyrosine kinase inhibitors (TKI) can be safely discontinued in chronic myeloid leukemia patients. Achieving a sustained deep molecular response (DMR) before stop is recommended. Currently, the proportion of patients who achieve a sustained DMR remains to be determined. Based on the follow-up of 398 patients over a ten-years period, we evaluate that 46% of them have achieved a sustained DMR. Gender, BCR-ABL1 transcript type, and disease risk scores were significantly associated with the probability of achieving a DMR. 95/398 (24%) patients stopped TKI with a probability of maintaining molecular reponse without TKI resumption of 47% at 48 months after stop. In this study, TKI duration before stop and second (nilotinib, dasatinib, bosutinib) generation frontline TKI compared to imatinib were significantly associated with a lower risk of molecular relapse after stop in patients who have achieved a sustained DMR. Abstract Background: Tyrosine Kinase Inhibitors (TKIs) discontinuation in patients who had achieved a deep molecular response (DMR) offer now the opportunity of prolonged treatment-free remission (TFR). Patients and Methods: Aims of this study were to evaluate the proportion of de novo chronic-phase chronic myeloid leukemia (CP-CML) patients who achieved a sustained DMR and to identify predictive factors of DMR and molecular recurrence-free survival (MRFS) after TKI discontinuation. Results: Over a period of 10 years, 398 CP-CML patients treated with first-line TKIs were included. Median age at diagnosis was 61 years, 291 (73%) and 107 (27%) patients were treated with frontline imatinib (IMA) or second- or third-generation TKIs (2–3G TKI), respectively. With a median follow-up of seven years (range, 0.6 to 13.8 years), 182 (46%) patients achieved a sustained DMR at least 24 months. Gender, BCR-ABL1 transcript type, and Sokal and ELTS risk scores were significantly associated with a higher probability of sustained DMR while TKI first-line (IMA vs. 2–3G TKI) was not. We estimate that 28% of CML-CP would have been an optimal candidate for TKI discontinuation according to recent recommendations. Finally, 95 (24%) patients have entered in a TFR program. MRFS rates at 12 and 48 months were 55.1% (95% CI, 44.3% to 65.9%) and 46.9% (95% CI, 34.9% to 58.9%), respectively. In multivariate analyses, first-line 2–3G TKIs compared to IMA and TKI duration were the most significant factors of MRFS. Conclusions: Our results suggest that frontline TKIs have a significant impact on TFR in patients who fulfill the selection criteria for TKI discontinuation.
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Affiliation(s)
- Gabriel Etienne
- Service d’Hématologie, Institut Bergonié, 33076 Bordeaux, France; (A.S.); (M.-P.F.); (F.B.); (F.D.); (L.V.); (C.F.); (F.-X.M.)
- Institut National de la Santé et de la Recherche Médicale, U1218 ACTION, Université de Bordeaux, 33000 Bordeaux, France; (S.D.); (E.K.); (B.T.)
- Groupe France Intergroupe des Leucémies Myéloïdes Chroniques, Hôpital Haut-Lévêque, 33600 Pessac, France;
- Correspondence: ; Tel.: +33-5633-3300; Fax: +33-547-306-060
| | - Stéphanie Dulucq
- Institut National de la Santé et de la Recherche Médicale, U1218 ACTION, Université de Bordeaux, 33000 Bordeaux, France; (S.D.); (E.K.); (B.T.)
- Groupe France Intergroupe des Leucémies Myéloïdes Chroniques, Hôpital Haut-Lévêque, 33600 Pessac, France;
- Laboratoire d’Hématologie, Hôpital Haut Lévêque Centre Hospitalier Universitaire de Bordeaux, 33600 Pessac, France;
| | - Fréderic Bauduer
- Groupe France Intergroupe des Leucémies Myéloïdes Chroniques, Hôpital Haut-Lévêque, 33600 Pessac, France;
- Service d’Hématologie, Centre Hospitalier Côte Basque, 64100 Bayonne, France
- Collège des Sciences de la Santé, Université de Bordeaux, 33000 Bordeaux, France
| | - Didier Adiko
- Service d’Hématologie, Centre Hospitalier de Libourne, 33500 Libourne, France;
| | - François Lifermann
- Service de Médecine Interne, Centre Hospitalier de Dax-Côte d’Argent, 40107 Dax, France;
| | - Corinne Dagada
- Service d’Oncologie-Hématologie, Centre Hospitalier de Pau, 64000 Pau, France;
| | - Caroline Lenoir
- Service d’Hémato-Oncologie Radiothérapie, Polyclinique Bordeaux Nord Aquitaine, 33000 Bordeaux, France;
| | - Anna Schmitt
- Service d’Hématologie, Institut Bergonié, 33076 Bordeaux, France; (A.S.); (M.-P.F.); (F.B.); (F.D.); (L.V.); (C.F.); (F.-X.M.)
| | - Emilie Klein
- Institut National de la Santé et de la Recherche Médicale, U1218 ACTION, Université de Bordeaux, 33000 Bordeaux, France; (S.D.); (E.K.); (B.T.)
- Laboratoire d’Hématologie, Hôpital Haut Lévêque Centre Hospitalier Universitaire de Bordeaux, 33600 Pessac, France;
| | - Samia Madene
- Service de Médecine Interne et Hématologie, Centre Hospitalier Intercommunal Mont-de-Marsan—Pays des Sources, 40024 Mont de Marsan, France;
| | - Marie-Pierre Fort
- Service d’Hématologie, Institut Bergonié, 33076 Bordeaux, France; (A.S.); (M.-P.F.); (F.B.); (F.D.); (L.V.); (C.F.); (F.-X.M.)
| | - Fontanet Bijou
- Service d’Hématologie, Institut Bergonié, 33076 Bordeaux, France; (A.S.); (M.-P.F.); (F.B.); (F.D.); (L.V.); (C.F.); (F.-X.M.)
| | - Marius Moldovan
- Service d’Hématologie-Oncologie, Centre Hospitalier de Périgueux, 24000 Périgueux, France;
| | - Beatrice Turcq
- Institut National de la Santé et de la Recherche Médicale, U1218 ACTION, Université de Bordeaux, 33000 Bordeaux, France; (S.D.); (E.K.); (B.T.)
- Centre National de la Recherche Scientifique, SNC 5010, 33000 Bordeaux, France
| | - Fanny Robbesyn
- Laboratoire d’Hématologie, Hôpital Haut Lévêque Centre Hospitalier Universitaire de Bordeaux, 33600 Pessac, France;
| | - Françoise Durrieu
- Service d’Hématologie, Institut Bergonié, 33076 Bordeaux, France; (A.S.); (M.-P.F.); (F.B.); (F.D.); (L.V.); (C.F.); (F.-X.M.)
| | - Laura Versmée
- Service d’Hématologie, Institut Bergonié, 33076 Bordeaux, France; (A.S.); (M.-P.F.); (F.B.); (F.D.); (L.V.); (C.F.); (F.-X.M.)
- Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sandrine Katsahian
- Unité de Recherche Clinique et Centre Investigation Clinique-Epidémiologie, Hôpitaux Universitaires Paris-Ouest Hôpital Européen Georges Pompidou, Assistance Publique-Hôpitaux de Paris, Université Paris 5 Institut National de la Santé et de la Recherche Médicale, Centre de Recherche des Cordeliers, Equipe 22, 75006 Paris, France;
| | - Carole Faberes
- Service d’Hématologie, Institut Bergonié, 33076 Bordeaux, France; (A.S.); (M.-P.F.); (F.B.); (F.D.); (L.V.); (C.F.); (F.-X.M.)
| | - Axelle Lascaux
- Service des maladies du sang, Hôpital Haut Lévêque Centre Hospitalier Universitaire de Bordeaux, 33600 Pessac, France;
| | - François-Xavier Mahon
- Service d’Hématologie, Institut Bergonié, 33076 Bordeaux, France; (A.S.); (M.-P.F.); (F.B.); (F.D.); (L.V.); (C.F.); (F.-X.M.)
- Institut National de la Santé et de la Recherche Médicale, U1218 ACTION, Université de Bordeaux, 33000 Bordeaux, France; (S.D.); (E.K.); (B.T.)
- Groupe France Intergroupe des Leucémies Myéloïdes Chroniques, Hôpital Haut-Lévêque, 33600 Pessac, France;
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Abstract
PURPOSE OF REVIEW Determine if therapy of chronic myeloid leukaemia (CML) is a model for treating other cancers. RECENT FINDINGS CML has a relatively homogeneous phenotype and genotype and is caused by one mutation, BCRABL1, in every instance. In contrast, most other leukaemias, haematologic cancers and solid cancer have more heterogeneous phenotypes and extraordinarily greater genotypic diversity and mutational complexity. Lesions learned from treating CML have little applicability to other leukaemias, haematologic cancers or solid cancer.
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CML - Not only BCR-ABL1 matters. Best Pract Res Clin Haematol 2020; 33:101194. [PMID: 33038988 DOI: 10.1016/j.beha.2020.101194] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 04/30/2020] [Accepted: 05/27/2020] [Indexed: 12/20/2022]
Abstract
BCR-ABL1 is in the center of chronic myeloid leukemia (CML) pathology, diagnosis and treatment, as confirmed by the success of tyrosine kinase inhibitor (TKI) therapy. However, additional mechanisms and events, many of which function independently of BCR-ABL1, play important roles, particularly in terms of leukemic stem cell (LSC) persistence, primary and secondary resistance, and disease progression. Promising therapeutic approaches aim to disrupt pathways which mediate LSC survival during successful TKI treatment, in the hope of improving long-term treatment-free-remission and perhaps provide a functional cure for some patients. Over the years through advances in sequencing technology frequent molecular aberrations in addition to BCR-ABL1 have been identified not only in advanced disease but also in chronic phase CML, often affecting epigenetic regulators such as ASXL1, DNMT3A and TET2. Analyses of serial samples have revealed various patterns of clonal evolution with some mutations preceding the BCR-ABL1 acquisition. Such mutations can be considered to be important co-factors in the pathogenesis of CML and could potentially influence therapeutic strategies in the future.
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Kim DDH. Are we ready to use precision medicine in chronic myeloid leukemia practice? Haematologica 2019; 104:2327-2329. [PMID: 31787613 DOI: 10.3324/haematol.2019.231753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Dennis Dong Hwan Kim
- Leukemia Program, Department of Medical Oncology and Hematology, Princess Margraret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
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Laying the foundation for genomically-based risk assessment in chronic myeloid leukemia. Leukemia 2019; 33:1835-1850. [PMID: 31209280 DOI: 10.1038/s41375-019-0512-y] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 04/23/2019] [Indexed: 12/16/2022]
Abstract
Outcomes for patients with chronic myeloid leukemia (CML) have substantially improved due to advances in drug development and rational treatment intervention strategies. Despite these significant advances there are still unanswered questions on patient management regarding how to more reliably predict treatment failure at the time of diagnosis and how to select frontline tyrosine kinase inhibitor (TKI) therapy for optimal outcome. The BCR-ABL1 transcript level at diagnosis has no established prognostic impact and cannot guide frontline TKI selection. BCR-ABL1 mutations are detected in ~50% of TKI resistant patients but are rarely responsible for primary resistance. Other resistance mechanisms are largely uncharacterized and there are no other routine molecular testing strategies to facilitate the evaluation and further stratification of TKI resistance. Advances in next-generation sequencing technology has aided the management of a growing number of other malignancies, enabling the incorporation of somatic mutation profiles in diagnosis, classification, and prognostication. A largely unexplored area in CML research is whether expanded genomic analysis at diagnosis, resistance, and disease transformation can enhance patient management decisions, as has occurred for other cancers. The aim of this article is to review publications that reported mutated cancer-associated genes in CML patients at various disease phases. We discuss the frequency and type of such variants at initial diagnosis and at the time of treatment failure and transformation. Current limitations in the evaluation of mutants and recommendations for future reporting are outlined. The collective evaluation of mutational studies over more than a decade suggests a limited set of cancer-associated genes are indeed recurrently mutated in CML and some at a relatively high frequency. Genomic studies have the potential to lay the foundation for improved diagnostic risk classification according to clinical and genomic risk, and to enable more precise early identification of TKI resistance.
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