1
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Jiang H, Liu J, Song Y, Lei J. Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method. J Comput Biol 2024; 31:41-57. [PMID: 38010500 DOI: 10.1089/cmb.2022.0484] [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] [Indexed: 11/29/2023] Open
Abstract
Intratumoral heterogeneity and the presence of cancer stem cells are challenging issues in cancer therapy. An appropriate quantification of the stemness of individual cells for assessing the potential for self-renewal and differentiation from the cell of origin can define a measurement for quantifying different cell states, which is important in understanding the dynamics of cancer evolution, and might further provide possible targeted therapies aimed at tumor stem cells. Nevertheless, it is usually difficult to quantify the stemness of a cell based on molecular information associated with the cell. In this study, we proposed a stemness definition method with one-class Hadamard kernel support vector machine (OCHSVM) based on single-cell RNA sequencing (scRNA-seq) data. Applications of the proposed OCHSVM stemness are assessed by various data sets, including preimplantation embryo cells, induced pluripotent stem cells, or tumor cells. We further compared the OCHSVM model with state-of-the-art methods CytoTRACE, one-class logistic regression, or one-class SVM methods with different kernels. The computational results demonstrate that the OCHSVM method is more suitable for stemness identification using scRNA-seq data.
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Affiliation(s)
- Hao Jiang
- School of Mathematics, Renmin University of China, Beijing, China
| | - Jingxin Liu
- School of Software, Beihang University, Beijing, China
| | - You Song
- School of Software, Beihang University, Beijing, China
| | - Jinzhi Lei
- School of Mathematical Sciences, Center for Applied Mathematics, Tiangong University, Tianjin, China
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2
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Integrating Single-Cell Transcriptome and Network Analysis to Characterize the Therapeutic Response of Chronic Myeloid Leukemia. Int J Mol Sci 2022; 23:ijms232214335. [PMID: 36430822 PMCID: PMC9695508 DOI: 10.3390/ijms232214335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/06/2022] [Accepted: 11/08/2022] [Indexed: 11/22/2022] Open
Abstract
Chronic myeloid leukemia (CML) is a myeloproliferative disease characterized by a unique BCR-ABL fusion gene. Tyrosine kinase inhibitors (TKIs) were developed to target the BCR-ABL oncoprotein, inhibiting its abnormal kinase activity. TKI treatments have significantly improved CML patient outcomes. However, the patients can develop drug resistance and relapse after therapy discontinues largely due to intratumor heterogeneity. It is critical to understand the differences in therapeutic responses among subpopulations of cells. Single-cell RNA sequencing measures the transcriptome of individual cells, allowing us to differentiate and analyze individual cell populations. Here, we integrated a single-cell RNA sequencing profile of CML stem cells and network analysis to decipher the mechanisms of distinct TKI responses. Compared to normal hematopoietic stem cells, a set of genes that were concordantly differentially expressed in various types of stem cells of CML patients was revealed. Further transcription regulatory network analysis found that most of these genes were directly controlled by one or more transcript factors and the genes have more regulators in the cells of the patients who responded to the treatment. The molecular markers including a known drug-resistance gene and novel gene signatures for treatment response were also identified. Moreover, we combined protein-protein interaction network construction with a cancer drug database and uncovered the drugs that target the marker genes directly or indirectly via the protein interactions. The gene signatures and their interacted proteins identified by this work can be used for treatment response prediction and lead to new strategies for drug resistance monitoring and prevention. Our single-cell-based findings offered novel insights into the mechanisms underlying the therapeutic response of CML.
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3
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Louka E, Povinelli B, Rodriguez-Meira A, Buck G, Wen WX, Wang G, Sousos N, Ashley N, Hamblin A, Booth CAG, Roy A, Elliott N, Iskander D, de la Fuente J, Fordham N, O'Byrne S, Inglott S, Norfo R, Salio M, Thongjuea S, Rao A, Roberts I, Mead AJ. Heterogeneous disease-propagating stem cells in juvenile myelomonocytic leukemia. J Exp Med 2021; 218:211665. [PMID: 33416891 PMCID: PMC7802370 DOI: 10.1084/jem.20180853] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 09/01/2020] [Accepted: 11/12/2020] [Indexed: 11/22/2022] Open
Abstract
Juvenile myelomonocytic leukemia (JMML) is a poor-prognosis childhood leukemia usually caused by RAS-pathway mutations. The cellular hierarchy in JMML is poorly characterized, including the identity of leukemia stem cells (LSCs). FACS and single-cell RNA sequencing reveal marked heterogeneity of JMML hematopoietic stem/progenitor cells (HSPCs), including an aberrant Lin−CD34+CD38−CD90+CD45RA+ population. Single-cell HSPC index-sorting and clonogenic assays show that (1) all somatic mutations can be backtracked to the phenotypic HSC compartment, with RAS-pathway mutations as a “first hit,” (2) mutations are acquired with both linear and branching patterns of clonal evolution, and (3) mutant HSPCs are present after allogeneic HSC transplant before molecular/clinical evidence of relapse. Stem cell assays reveal interpatient heterogeneity of JMML LSCs, which are present in, but not confined to, the phenotypic HSC compartment. RNA sequencing of JMML LSC reveals up-regulation of stem cell and fetal genes (HLF, MEIS1, CNN3, VNN2, and HMGA2) and candidate therapeutic targets/biomarkers (MTOR, SLC2A1, and CD96), paving the way for LSC-directed disease monitoring and therapy in this disease.
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Affiliation(s)
- Eleni Louka
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Benjamin Povinelli
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Alba Rodriguez-Meira
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Gemma Buck
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,Department of Paediatrics, University of Oxford, Oxford, UK
| | - Wei Xiong Wen
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,MRC WIMM Centre for Computational Biology, University of Oxford, Oxford, UK
| | - Guanlin Wang
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,MRC WIMM Centre for Computational Biology, University of Oxford, Oxford, UK
| | - Nikolaos Sousos
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Neil Ashley
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Angela Hamblin
- National Institute of Health Research Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Christopher A G Booth
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Anindita Roy
- Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,Department of Paediatrics, University of Oxford, Oxford, UK
| | - Natalina Elliott
- Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,Department of Paediatrics, University of Oxford, Oxford, UK
| | - Deena Iskander
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, UK
| | - Josu de la Fuente
- Department of Paediatric Haematology and Bone Marrow Transplantation, St Mary's Hospital, Imperial College London, London, UK
| | - Nicholas Fordham
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Sorcha O'Byrne
- Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,Department of Paediatrics, University of Oxford, Oxford, UK
| | - Sarah Inglott
- Department of Haematology, Great Ormond Street Hospital National Health Service Foundation Trust, London, UK
| | - Ruggiero Norfo
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Mariolina Salio
- MRC Human Immunology Unit, WIMM, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Supat Thongjuea
- MRC WIMM Centre for Computational Biology, University of Oxford, Oxford, UK
| | - Anupama Rao
- Department of Haematology, Great Ormond Street Hospital National Health Service Foundation Trust, London, UK
| | - Irene Roberts
- Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,Department of Paediatrics, University of Oxford, Oxford, UK.,National Institute of Health Research Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Adam J Mead
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.,Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine (WIMM), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,National Institute of Health Research Biomedical Research Centre, Churchill Hospital, Oxford, UK
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4
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Munje C, Copland M. Exploring Stem Cell Heterogeneity in Chronic Myeloid Leukemia. Trends Cancer 2018; 4:167-169. [PMID: 29506666 DOI: 10.1016/j.trecan.2017.12.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 12/06/2017] [Indexed: 11/20/2022]
Abstract
Until very recently, understanding the complexity of the stem cell (SC) compartment in both normal and leukemic hematopoiesis has been challenging due to the inability to separate and study normal and leukemic SCs at the single-cell level. Recent advances in cell-sorting techniques and single-cell technologies now make this possible, with the identification of a population of highly quiescent chronic myeloid leukemia (CML) SCs that is enriched following therapy with tyrosine kinase inhibitors (TKIs).
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Affiliation(s)
- Chinmay Munje
- Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden G61 1QH, UK
| | - Mhairi Copland
- Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden G61 1QH, UK.
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5
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Single-cell transcriptomics uncovers distinct molecular signatures of stem cells in chronic myeloid leukemia. Nat Med 2017; 23:692-702. [PMID: 28504724 DOI: 10.1038/nm.4336] [Citation(s) in RCA: 278] [Impact Index Per Article: 39.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2017] [Accepted: 04/10/2017] [Indexed: 12/12/2022]
Abstract
Recent advances in single-cell transcriptomics are ideally placed to unravel intratumoral heterogeneity and selective resistance of cancer stem cell (SC) subpopulations to molecularly targeted cancer therapies. However, current single-cell RNA-sequencing approaches lack the sensitivity required to reliably detect somatic mutations. We developed a method that combines high-sensitivity mutation detection with whole-transcriptome analysis of the same single cell. We applied this technique to analyze more than 2,000 SCs from patients with chronic myeloid leukemia (CML) throughout the disease course, revealing heterogeneity of CML-SCs, including the identification of a subgroup of CML-SCs with a distinct molecular signature that selectively persisted during prolonged therapy. Analysis of nonleukemic SCs from patients with CML also provided new insights into cell-extrinsic disruption of hematopoiesis in CML associated with clinical outcome. Furthermore, we used this single-cell approach to identify a blast-crisis-specific SC population, which was also present in a subclone of CML-SCs during the chronic phase in a patient who subsequently developed blast crisis. This approach, which might be broadly applied to any malignancy, illustrates how single-cell analysis can identify subpopulations of therapy-resistant SCs that are not apparent through cell-population analysis.
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6
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Imatinib discontinuation in chronic myeloid leukaemia patients with undetectable BCR-ABL transcript level: A systematic review and a meta-analysis. Eur J Cancer 2017; 77:48-56. [PMID: 28365527 DOI: 10.1016/j.ejca.2017.02.028] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 02/08/2017] [Accepted: 02/24/2017] [Indexed: 12/16/2022]
Abstract
PURPOSE Tyrosine kinase inhibitors (TKIs) are the cornerstones of treatment for patients with chronic myeloid leukaemia (CML). In recent years, several studies were conducted to evaluate the safety of TKIs discontinuation. We performed a systematic review of the literature to determine the incidence of CML relapse, to identify possible factors relapse rates and to evaluate the long-term safety in CML patients with stable undetectable BCR-ABL transcript level who discontinued TKIs. DESIGN Studies evaluating TKIs discontinuation in CML patients with undetectable BCR-ABL transcript level were identified by electronic search of MEDLINE and EMBASE database until May 2015. Weighted mean proportion and 95% confidence intervals (CIs) of CML relapse was calculated using a fixed-effects and a random-effects model. Statistical heterogeneity was evaluated using the I2 statistic. RESULTS Fifteen cohort studies, for a total of 509 patients, were included. Nine studies were at low-risk of bias. All 15 studies included only patients on imatinib. Overall weighted mean molecular relapse rate of CML was 51% (95% CI 44-58%; I2 = 55). Weighted mean molecular relapse rate at 6-month follow-up was 41% (95% CI 32-51%; I2 = 78). Eighty percent of molecular relapses occurred in the first 6 months. All 509 patients were alive at 2-year follow-up and only one patient (0.8%, 95% CI 0.2-1.8%; I2 = 0) has progressed to a blastic crisis. CONCLUSIONS Our findings suggest that imatinib discontinuation is feasible for the majority of CML patients with stable undetectable BCR-ABL transcript level. Approximately 50% of patients remain therapy-free after imatinib discontinuation. Restarting TKIs therapy was followed by a very high rate of molecular response, with no deaths 2 years after discontinuation.
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7
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Abstract
Myeloproliferative neoplasms (MPNs) arise in the hematopoietic stem cell (HSC) compartment as a result of the acquisition of somatic mutations in a single HSC that provides a selective advantage to mutant HSC over normal HSC and promotes myeloid differentiation to engender a myeloproliferative phenotype. This population of somatically mutated HSC, which initiates and sustains MPNs, is termed MPN stem cells. In >95% of cases, mutations that drive the development of an MPN phenotype occur in a mutually exclusive manner in 1 of 3 genes: JAK2, CALR, or MPL The thrombopoietin receptor, MPL, is the key cytokine receptor in MPN development, and these mutations all activate MPL-JAK-STAT signaling in MPN stem cells. Despite common biological features, MPNs display diverse disease phenotypes as a result of both constitutional and acquired factors that influence MPN stem cells, and likely also as a result of heterogeneity in the HSC in which MPN-initiating mutations arise. As the MPN clone expands, it exerts cell-extrinsic effects on components of the bone marrow niche that can favor the survival and expansion of MPN stem cells over normal HSC, further sustaining and driving malignant hematopoiesis. Although developed as targeted therapies for MPNs, current JAK2 inhibitors do not preferentially target MPN stem cells, and as a result, rarely induce molecular remissions in MPN patients. As the understanding of the molecular mechanisms underlying the clonal dominance of MPN stem cells advances, this will help facilitate the development of therapies that preferentially target MPN stem cells over normal HSC.
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8
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Discontinuation or Cessation of Tyrosine Kinase Inhibitor Treatment in Chronic Myeloid Leukemia Patients with Deep Molecular Response. ACTA ACUST UNITED AC 2016. [DOI: 10.1007/978-3-319-33198-0_13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2023]
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9
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Mughal TI, Radich JP, Deininger MW, Apperley JF, Hughes TP, Harrison CJ, Gambacorti-Passerini C, Saglio G, Cortes J, Daley GQ. Chronic myeloid leukemia: reminiscences and dreams. Haematologica 2016; 101:541-58. [PMID: 27132280 PMCID: PMC5004358 DOI: 10.3324/haematol.2015.139337] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 01/20/2016] [Indexed: 12/26/2022] Open
Abstract
With the deaths of Janet Rowley and John Goldman in December 2013, the world lost two pioneers in the field of chronic myeloid leukemia. In 1973, Janet Rowley, unraveled the cytogenetic anatomy of the Philadelphia chromosome, which subsequently led to the identification of the BCR-ABL1 fusion gene and its principal pathogenetic role in the development of chronic myeloid leukemia. This work was also of major importance to support the idea that cytogenetic changes were drivers of leukemogenesis. John Goldman originally made seminal contributions to the use of autologous and allogeneic stem cell transplantation from the late 1970s onwards. Then, in collaboration with Brian Druker, he led efforts to develop ABL1 tyrosine kinase inhibitors for the treatment of patients with chronic myeloid leukemia in the late 1990s. He also led the global efforts to develop and harmonize methodology for molecular monitoring, and was an indefatigable organizer of international conferences. These conferences brought together clinicians and scientists, and accelerated the adoption of new therapies. The abundance of praise, tributes and testimonies expressed by many serve to illustrate the indelible impressions these two passionate and affable scholars made on so many people's lives. This tribute provides an outline of the remarkable story of chronic myeloid leukemia, and in writing it, it is clear that the historical triumph of biomedical science over this leukemia cannot be considered without appreciating the work of both Janet Rowley and John Goldman.
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MESH Headings
- Antineoplastic Agents/chemistry
- Antineoplastic Agents/pharmacology
- Antineoplastic Agents/therapeutic use
- Cytogenetic Analysis/history
- Cytogenetic Analysis/methods
- Fusion Proteins, bcr-abl/antagonists & inhibitors
- Fusion Proteins, bcr-abl/chemistry
- Fusion Proteins, bcr-abl/genetics
- History, 20th Century
- Humans
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/mortality
- Molecular Targeted Therapy/history
- Molecular Targeted Therapy/methods
- Mutation
- Philadelphia Chromosome
- Prognosis
- Protein Kinase Inhibitors/chemistry
- Protein Kinase Inhibitors/pharmacology
- Protein Kinase Inhibitors/therapeutic use
- Research/history
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Affiliation(s)
| | - Jerald P Radich
- Fredrick Hutchinson Cancer Center, University of Washington, Seattle, WA, USA
| | | | | | | | | | | | | | | | - George Q Daley
- Boston Children's Hospital, Harvard Medicine, School, Boston, MA, USA
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10
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Capala ME, Maat H, Bonardi F, van den Boom V, Kuipers J, Vellenga E, Giepmans BNG, Schuringa JJ. Mitochondrial Dysfunction in Human Leukemic Stem/Progenitor Cells upon Loss of RAC2. PLoS One 2015; 10:e0128585. [PMID: 26016997 PMCID: PMC4446344 DOI: 10.1371/journal.pone.0128585] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Accepted: 04/28/2015] [Indexed: 11/18/2022] Open
Abstract
Leukemic stem cells (LSCs) reside within bone marrow niches that maintain their relatively quiescent state and convey resistance to conventional treatment. Many of the microenvironmental signals converge on RAC GTPases. Although it has become clear that RAC proteins fulfill important roles in the hematopoietic compartment, little has been revealed about the downstream effectors and molecular mechanisms. We observed that in BCR-ABL-transduced human hematopoietic stem/progenitor cells (HSPCs) depletion of RAC2 but not RAC1 induced a marked and immediate decrease in proliferation, progenitor frequency, cobblestone formation and replating capacity, indicative for reduced self-renewal. Cell cycle analyses showed reduced cell cycle activity in RAC2-depleted BCR-ABL leukemic cobblestones coinciding with an increased apoptosis. Moreover, a decrease in mitochondrial membrane potential was observed upon RAC2 downregulation, paralleled by severe mitochondrial ultrastructural malformations as determined by automated electron microscopy. Proteome analysis revealed that RAC2 specifically interacted with a set of mitochondrial proteins including mitochondrial transport proteins SAM50 and Metaxin 1, and interactions were confirmed in independent co-immunoprecipitation studies. Downregulation of SAM50 also impaired the proliferation and replating capacity of BCR-ABL-expressing cells, again associated with a decreased mitochondrial membrane potential. Taken together, these data suggest an important role for RAC2 in maintaining mitochondrial integrity.
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Affiliation(s)
- Marta E. Capala
- Department of Experimental Hematology, Cancer Research Center Groningen, Groningen, the Netherlands
| | - Henny Maat
- Department of Experimental Hematology, Cancer Research Center Groningen, Groningen, the Netherlands
| | - Francesco Bonardi
- Department of Experimental Hematology, Cancer Research Center Groningen, Groningen, the Netherlands
| | - Vincent van den Boom
- Department of Experimental Hematology, Cancer Research Center Groningen, Groningen, the Netherlands
| | - Jeroen Kuipers
- Department of Cell Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Edo Vellenga
- Department of Experimental Hematology, Cancer Research Center Groningen, Groningen, the Netherlands
| | - Ben N. G. Giepmans
- Department of Experimental Hematology, Cancer Research Center Groningen, Groningen, the Netherlands
| | - Jan Jacob Schuringa
- Department of Experimental Hematology, Cancer Research Center Groningen, Groningen, the Netherlands
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11
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Bibi S, Arslanhan MD, Langenfeld F, Jeanningros S, Cerny-Reiterer S, Hadzijusufovic E, Tchertanov L, Moriggl R, Valent P, Arock M. Co-operating STAT5 and AKT signaling pathways in chronic myeloid leukemia and mastocytosis: possible new targets of therapy. Haematologica 2015; 99:417-29. [PMID: 24598853 DOI: 10.3324/haematol.2013.098442] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Chronic myeloid leukemia and systemic mastocytosis are myeloid neoplasms sharing a number of pathogenetic and clinical features. In both conditions, an aberrantly activated oncoprotein with tyrosine kinase activity, namely BCR-ABL1 in chronic myeloid leukemia, and mutant KIT, mostly KIT D816V, in systemic mastocytosis, is key to disease evolution. The appreciation of the role of such tyrosine kinases in these diseases has led to the development of improved therapies with tyrosine kinase-targeted inhibitors. However, most drugs, including new KIT D816V-blocking agents, have failed to achieve long-lasting remissions in advanced systemic mastocytosis, and there is a similar problem in chronic myeloid leukemia, where imatinib-resistant patients sometimes fail to achieve remission, even with second- or third-line BCR-ABL1 specific tyrosine kinase inhibitors. During disease progression, additional signaling pathways become activated in neoplastic cells, but most converge into major downstream networks. Among these, the AKT and STAT5 pathways appear most critical and may result in drug-resistant chronic myeloid leukemia and systemic mastocytosis. Inhibition of phosphorylation of these targets has proven their crucial role in disease-evolution in both malignancies. Together, these observations suggest that STAT5 and AKT are key drivers of oncogenesis in drug-resistant forms of the diseases, and that targeting STAT5 and AKT might be an interesting approach in these malignancies. The present article provides an overview of our current knowledge about the critical role of AKT and STAT5 in the pathophysiology of chronic myeloid leukemia and systemic mastocytosis and on their potential value as therapeutic targets in these neoplasms.
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12
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Discontinuation of tyrosine kinase therapy in CML. Ann Hematol 2015; 94 Suppl 2:S187-93. [DOI: 10.1007/s00277-015-2320-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Accepted: 12/12/2014] [Indexed: 12/27/2022]
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13
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Bedside to bench in juvenile myelomonocytic leukemia: insights into leukemogenesis from a rare pediatric leukemia. Blood 2014; 124:2487-97. [PMID: 25163700 DOI: 10.1182/blood-2014-03-300319] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Juvenile myelomonocytic leukemia (JMML) is a typically aggressive myeloid neoplasm of childhood that is clinically characterized by overproduction of monocytic cells that can infiltrate organs, including the spleen, liver, gastrointestinal tract, and lung. JMML is categorized as an overlap myelodysplastic syndrome/myeloproliferative neoplasm (MDS/MPN) by the World Health Organization and also shares some clinical and molecular features with chronic myelomonocytic leukemia, a similar disease in adults. Although the current standard of care for patients with JMML relies on allogeneic hematopoietic stem cell transplant, relapse is the most frequent cause of treatment failure. Tremendous progress has been made in defining the genomic landscape of JMML. Insights from cancer predisposition syndromes have led to the discovery of nearly 90% of driver mutations in JMML, all of which thus far converge on the Ras signaling pathway. This has improved our ability to accurately diagnose patients, develop molecular markers to measure disease burden, and choose therapeutic agents to test in clinical trials. This review emphasizes recent advances in the field, including mapping of the genomic and epigenome landscape, insights from new and existing disease models, targeted therapeutics, and future directions.
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Abstract
Recent studies have identified recurrent mutations in SETBP1, the gene that encodes SET-binding protein 1, in several types of myeloid malignancies, including chronic myeloid and acute myeloid leukemias. The identified mutations frequently target the SKI-homologous domain, although the exact pathogenic mechanisms remain unknown.
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15
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Affiliation(s)
- Jeffrey H Lipton
- University Health Network, University of Toronto, Princess Margaret Cancer Centre, 610 University Avenue 15-413, Toronto, Ontario, M5G 2M9, Canada ;
| | - Dennis (Dong Hwan) Kim
- University Health Network, University of Toronto, Princess Margaret Cancer Centre, 610 University Avenue 15-413, Toronto, Ontario, M5G 2M9, Canada ;
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16
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Lamontanara AJ, Gencer EB, Kuzyk O, Hantschel O. Mechanisms of resistance to BCR-ABL and other kinase inhibitors. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2012; 1834:1449-59. [PMID: 23277196 DOI: 10.1016/j.bbapap.2012.12.009] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2012] [Accepted: 12/15/2012] [Indexed: 01/15/2023]
Abstract
In this article, we are reviewing the molecular mechanisms that lead to kinase inhibitor resistance. As the oncogenic BCR-ABL kinase is the target of the first approved small-molecule kinase inhibitor imatinib, we will first focus on the structural and mechanistic basis for imatinib resistance. We will then show ways how next generations of BCR-ABL inhibitors and alternative targeting strategies have helped to offer effective treatment options for imatinib-resistant patients. Based on these insights, we discuss commonalities and further mechanisms that lead to resistance to other kinase inhibitors in solid tumors. This article is part of a Special Issue entitled: Inhibitors of Protein Kinases (2012).
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Affiliation(s)
- Allan Joaquim Lamontanara
- École polytechnique fédérale de Lausanne EPFL, School of Life Sciences, Swiss Institute for Experimental Cancer Research ISREC, Lausanne, Switzerland
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17
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Abstract
Abstract
After more than a decade of treatment of chronic myeloid leukemia (CML) patients with the BCR-ABL tyrosine kinase inhibitor imatinib, and despite the impressive clinical results of this targeted therapeutic, many questions remain unresolved. One major question is how to cure CML, and the next step for the future will be to address this key issue. CML is a good model of cancer. The fact that the majority of CML patients who respond very well but discontinue tyrosine kinase inhibitors later show evidence of molecular recurrence focuses attention on the need for further research on leukemic stem cells. The challenge now is to understand why, after stopping treatment, the leukemia recurs in some patients but not in others. If we win this battle, this progress will certainly benefit the treatment and management of other leukemias and solid tumors and will validate this new topic.
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18
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Abstract
Abl kinases are prototypic cytoplasmic tyrosine kinases and are involved in a variety of chromosomal aberrations in different cancers. This causes the expression of Abl fusion proteins, such as Bcr-Abl, that are constitutively activated and drivers of tumorigenesis. Over the past decades, biochemical and functional studies on the molecular mechanisms of Abl regulation have gone hand in hand with progression of our structural understanding of autoinhibited and active Abl conformations. In parallel, Abl oncoproteins have become prime molecular targets for cancer therapy, using adenosine triphosphate (ATP)-competitive kinase inhibitors, such as imatinib. Abl-targeting drugs serve as a paradigm for our understanding of kinase inhibitor action, specificity, and resistance development. In this review article, I will review the molecular mechanisms that are responsible for the regulation of Abl kinase activity and how oncogenic Abl fusions signal. Furthermore, past and ongoing efforts to target Abl oncoproteins using ATP-competitive and allosteric inhibitors, as well as future possibilities using combination therapy, will be discussed.
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Affiliation(s)
- Oliver Hantschel
- École polytechnique fédérale de Lausanne (EPFL), School of Life Sciences, Swiss Institute for Experimental Cancer Research (ISREC), Lausanne, Switzerland
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