1
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Radtke S, Enstrom M, Pande D, Duke ER, Cardozo-Ojeda EF, Madhu R, Owen S, Kanestrom G, Cui M, Perez AM, Schiffer JT, Kiem HP. Stochastic fate decisions of HSCs after transplantation: early contribution, symmetric expansion, and pool formation. Blood 2023; 142:33-43. [PMID: 36821766 PMCID: PMC10935507 DOI: 10.1182/blood.2022018564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 02/16/2023] [Accepted: 02/16/2023] [Indexed: 02/25/2023] Open
Abstract
Hematopoietic stem cells (HSCs) are assumed to be rare, infrequently dividing, long-lived cells not involved in immediate recovery after transplantation. Here, we performed unprecedented high-density clonal tracking in nonhuman primates and found long-term persisting HSC clones to actively contribute during early neutrophil recovery, and to be the main source of blood production as early as 50 days after transplantation. Most surprisingly, we observed a rapid decline in the number of unique HSC clones, while persisting HSCs expanded, undergoing symmetric divisions to create identical siblings and formed clonal pools ex vivo as well as in vivo. In contrast to the currently assumed model of hematopoietic reconstitution, we provide evidence for contribution of HSCs in short-term recovery as well as symmetric expansion of individual clones into pools. These findings provide novel insights into HSC biology, informing the design of HSC transplantation and gene therapy studies.
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Affiliation(s)
- Stefan Radtke
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Mark Enstrom
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Dnyanada Pande
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Elizabeth R. Duke
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | | | - Ravishankar Madhu
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Staci Owen
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Greta Kanestrom
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Margaret Cui
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Anai M. Perez
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Joshua T. Schiffer
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Hans-Peter Kiem
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Pathology, University of Washington School of Medicine, Seattle, WA
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2
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Rodriguez J, Iniguez A, Jena N, Tata P, Liu ZY, Lander AD, Lowengrub J, Van Etten RA. Predictive nonlinear modeling of malignant myelopoiesis and tyrosine kinase inhibitor therapy. eLife 2023; 12:e84149. [PMID: 37115622 PMCID: PMC10212564 DOI: 10.7554/elife.84149] [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: 10/12/2022] [Accepted: 04/26/2023] [Indexed: 04/29/2023] Open
Abstract
Chronic myeloid leukemia (CML) is a blood cancer characterized by dysregulated production of maturing myeloid cells driven by the product of the Philadelphia chromosome, the BCR-ABL1 tyrosine kinase. Tyrosine kinase inhibitors (TKIs) have proved effective in treating CML, but there is still a cohort of patients who do not respond to TKI therapy even in the absence of mutations in the BCR-ABL1 kinase domain that mediate drug resistance. To discover novel strategies to improve TKI therapy in CML, we developed a nonlinear mathematical model of CML hematopoiesis that incorporates feedback control and lineage branching. Cell-cell interactions were constrained using an automated model selection method together with previous observations and new in vivo data from a chimeric BCR-ABL1 transgenic mouse model of CML. The resulting quantitative model captures the dynamics of normal and CML cells at various stages of the disease and exhibits variable responses to TKI treatment, consistent with those of CML patients. The model predicts that an increase in the proportion of CML stem cells in the bone marrow would decrease the tendency of the disease to respond to TKI therapy, in concordance with clinical data and confirmed experimentally in mice. The model further suggests that, under our assumed similarities between normal and leukemic cells, a key predictor of refractory response to TKI treatment is an increased maximum probability of self-renewal of normal hematopoietic stem cells. We use these insights to develop a clinical prognostic criterion to predict the efficacy of TKI treatment and design strategies to improve treatment response. The model predicts that stimulating the differentiation of leukemic stem cells while applying TKI therapy can significantly improve treatment outcomes.
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MESH Headings
- Mice
- Animals
- Tyrosine Kinase Inhibitors
- Protein Kinase Inhibitors/pharmacology
- Protein Kinase Inhibitors/therapeutic use
- Drug Resistance, Neoplasm
- Myelopoiesis
- Fusion Proteins, bcr-abl/genetics
- Fusion Proteins, bcr-abl/pharmacology
- Mice, Transgenic
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
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Affiliation(s)
- Jonathan Rodriguez
- Graduate Program in Mathematical, Computational and Systems Biology, University of California, IrvineIrvineUnited States
- Center for Complex Biological Systems, University of California, IrvineIrvineUnited States
| | - Abdon Iniguez
- Graduate Program in Mathematical, Computational and Systems Biology, University of California, IrvineIrvineUnited States
- Center for Complex Biological Systems, University of California, IrvineIrvineUnited States
| | - Nilamani Jena
- Department of Medicine, University of California, IrvineIrvineUnited States
| | - Prasanthi Tata
- Department of Medicine, University of California, IrvineIrvineUnited States
| | - Zhong-Ying Liu
- Department of Medicine, University of California, IrvineIrvineUnited States
| | - Arthur D Lander
- Center for Complex Biological Systems, University of California, IrvineIrvineUnited States
- Department of Developmental and Cell Biology, University of California, IrvineIrvineUnited States
- Chao Family Comprehensive Cancer Center, University of California, IrvineIrvineUnited States
- Department of Biomedical Engineering, University of California, IrvineIrvineUnited States
| | - John Lowengrub
- Center for Complex Biological Systems, University of California, IrvineIrvineUnited States
- Chao Family Comprehensive Cancer Center, University of California, IrvineIrvineUnited States
- Department of Biomedical Engineering, University of California, IrvineIrvineUnited States
- Department of Mathematics, University of California, IrvineIrvineUnited States
| | - Richard A Van Etten
- Center for Complex Biological Systems, University of California, IrvineIrvineUnited States
- Department of Medicine, University of California, IrvineIrvineUnited States
- Chao Family Comprehensive Cancer Center, University of California, IrvineIrvineUnited States
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3
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Game of clones: Diverse implications for clonal hematopoiesis in lymphoma and multiple myeloma. Blood Rev 2022; 56:100986. [PMID: 35753868 DOI: 10.1016/j.blre.2022.100986] [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: 04/13/2022] [Revised: 06/16/2022] [Accepted: 06/17/2022] [Indexed: 11/23/2022]
Abstract
Clonal hematopoiesis (CH) refers to the disproportionate expansion of hematopoietic stem cell clones and their corresponding progeny following the acquisition of somatic mutations. CH is common at the time of diagnosis in patients with blood cancers, including multiple myeloma (MM) and lymphoma. The presence of CH mutations correlates with IL-6 mediated inflammation and may result in lymphoma or MM modulation through microenvironment effects or by manifestations of the mutations themselves within the founding tumor clone. As might be expected with a variety of mutations and multiple potential mechanisms, CH exerts context-dependent effects, being protective in some settings and harmful in others. Though CH is very common in patients with hematologic malignancies, how it intersects with therapy and the natural disease course of these cancers are active areas of investigation. In lymphomas and MM specifically, patients have high rates of CH at diagnosis and are subsequently exposed to therapies, such as cytotoxic chemotherapy, that can cause CH progression to overt hematologic malignancy. The expanding diversity of treatment modalities for these cancers also increases the opportunities for CH to impact clinical outcome and modulate clinical responses. Here we review the basic biology and known health effects of CH, and we focus on the clinical relevance of CH in lymphoma and MM.
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4
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Dausinas Ni P, Basile C, Junge C, Hartman M, O’Leary HA. Hypoxia and Hematopoiesis. CURRENT STEM CELL REPORTS 2022. [DOI: 10.1007/s40778-021-00203-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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5
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Pedersen RK, Andersen M, Knudsen TA, Skov V, Kjær L, Hasselbalch HC, Ottesen JT. Dose‐dependent mathematical modeling of interferon‐α‐treatment for personalized treatment of myeloproliferative neoplasms. COMPUTATIONAL AND SYSTEMS ONCOLOGY 2021. [DOI: 10.1002/cso2.1030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Rasmus K. Pedersen
- Centre for Mathematical Modeling ‐ Human Health and Disease (COMMAND) IMFUFA Department of Science and Environment Roskilde University Roskilde Denmark
| | - Morten Andersen
- Centre for Mathematical Modeling ‐ Human Health and Disease (COMMAND) IMFUFA Department of Science and Environment Roskilde University Roskilde Denmark
| | - Trine A. Knudsen
- Department of Hematology Zealand University Hospital Roskilde Denmark
| | - Vibe Skov
- Department of Hematology Zealand University Hospital Roskilde Denmark
| | - Lasse Kjær
- Department of Hematology Zealand University Hospital Roskilde Denmark
| | | | - Johnny T. Ottesen
- Centre for Mathematical Modeling ‐ Human Health and Disease (COMMAND) IMFUFA Department of Science and Environment Roskilde University Roskilde Denmark
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6
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Andrés‐Zayas C, Suárez‐González J, Rodríguez‐Macías G, Dorado N, Osorio S, Font P, Carbonell D, Chicano M, Muñiz P, Bastos M, Kwon M, Díez‐Martín JL, Buño I, Martínez‐Laperche C. Clinical utility of targeted next-generation sequencing for the diagnosis of myeloid neoplasms with germline predisposition. Mol Oncol 2021; 15:2273-2284. [PMID: 33533142 PMCID: PMC8410541 DOI: 10.1002/1878-0261.12921] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 12/30/2020] [Accepted: 01/11/2021] [Indexed: 12/30/2022] Open
Abstract
Myeloid neoplasms (MN) with germline predisposition (MNGP) are likely to be more common than currently appreciated. Many of the genes involved in MNGP are also recurrently mutated in sporadic MN. Therefore, routine analysis of gene panels by next-generation sequencing provides an effective approach to detect germline variants with clinical significance in patients with hematological malignancies. Gene panel sequencing was performed in 88 consecutive and five nonconsecutive patients with MN diagnosis. Disease-causing germline mutations in CEBPα, ASXL1, TP53, MPL, GATA2, DDX41, and ETV6 genes were identified in nine patients. Six out of the nine patients with germline variants had a strong family history. These patients presented great heterogeneity in the age of diagnosis and phenotypic characteristics. In our study, there were families in which all the affected members presented the same subtype of disease, whereas members of other families presented various disease phenotypes. This intrafamiliar heterogeneity suggests that the acquisition of particular somatic variants may drive the evolution of the disease. This approach enabled high-throughput detection of MNGP in patients with MN diagnosis, which is of great relevance for both the patients themselves and the asymptomatic mutation carriers within the family. It is crucial to make a proper diagnosis of these patients to provide them with the most suitable treatment, follow-up, and genetic counseling.
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Affiliation(s)
- Cristina Andrés‐Zayas
- Genomics UnitGregorio Marañón General University HospitalGregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
| | - Julia Suárez‐González
- Genomics UnitGregorio Marañón General University HospitalGregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
| | | | - Nieves Dorado
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
| | - Santiago Osorio
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
| | - Patricia Font
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
| | - Diego Carbonell
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
| | - María Chicano
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
| | - Paula Muñiz
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
| | - Mariana Bastos
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
| | - Mi Kwon
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
| | - José Luis Díez‐Martín
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
- Department of MedicineSchool of MedicineComplutense University of MadridSpain
| | - Ismael Buño
- Genomics UnitGregorio Marañón General University HospitalGregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
- Department of Cell BiologySchool of MedicineComplutense University of MadridSpain
| | - Carolina Martínez‐Laperche
- Gregorio Marañón Health Research Institute (IiSGM)MadridSpain
- Department of HematologyGregorio Marañón General University HospitalMadridSpain
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7
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Understanding Normal and Pathological Hematopoietic Stem Cell Biology Using Mathematical Modelling. CURRENT STEM CELL REPORTS 2021. [DOI: 10.1007/s40778-021-00191-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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8
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Pedersen RK, Andersen M, Stiehl T, Ottesen JT. Mathematical modelling of the hematopoietic stem cell-niche system: Clonal dominance based on stem cell fitness. J Theor Biol 2021; 518:110620. [PMID: 33587928 DOI: 10.1016/j.jtbi.2021.110620] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 01/28/2021] [Accepted: 02/01/2021] [Indexed: 12/11/2022]
Abstract
Human blood cell production is maintained by hematopoietic stem cells (HSC) which give rise to all types of mature blood cells. Experimental observation of HSC in their physiologic bone-marrow microenvironment, the so-called stem cell niche, is challenging. Therefore, the details of HSC dynamics and the cellular interactions in the stem cell niche remain elusive. Mutations that lead to a competitive advantage are the cause of clinical challenges when treating HSC-derived malignancies such as acute myeloid leukemia or the myeloproliferative neoplasms (MPNs). To investigate the significance of the interaction between the HSC and the stem cell niche in these malignancies, we propose and analyse a mechanism-based mathematical model of HSC dynamics within the bone-marrow microenvironment. The model is based on the central hypothesis that HSC self-renewal depends on the niche. In the model, the interaction of HSC with specific niches located in the bone marrow are key to the indefinite HSC renewal necessary for long-term maintenance of blood cell production. We formulate a general model of n distinct clones that differ with respect to cell properties. We identify an attractive trapping region and compute and classify all steady states. A concept of HSC fitness naturally arises from the model analysis. HSC fitness is found to determine the asymptotic behaviour of the model, as the HSC clone with the highest fitness is related to the unique locally stable steady state. Based on biological assumptions about HSC, we propose two reduced models of different complexity. A thorough mathematical analysis reveals that both reduced models have the same asymptotic behaviour as the full model. We compare the simpler of the two models, a logistic equation of the disease burden, to clinical data of MPN-patients. The reduced model is found to agree well with data and suggests a simple interpretation and possible prediction of patient prognosis. The proposed mathematical model and the reduced forms have the potential to provide insights into the regulation of HSC dynamics and blood cell formation, and ultimately for future advances in treatment of hematologic malignancies.
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Affiliation(s)
| | - Morten Andersen
- IMFUFA, Department of Science and Environment, Roskilde University, Denmark
| | - Thomas Stiehl
- IWR (Interdisciplinary Center for Scientific Computing), Heidelberg University, Germany
| | - Johnny T Ottesen
- IMFUFA, Department of Science and Environment, Roskilde University, Denmark.
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9
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Abstract
Human lifespan is now longer than ever and, as a result, modern society is getting older. Despite that, the detailed mechanisms behind the ageing process and its impact on various tissues and organs remain obscure. In general, changes in DNA, RNA and protein structure throughout life impair their function. Haematopoietic ageing refers to the age-related changes affecting a haematopoietic system. Aged blood cells display different functional aberrations depending on their cell type, which might lead to the development of haematologic disorders, including leukaemias, anaemia or declining immunity. In contrast to traditional bulk assays, which are not suitable to dissect cell-to-cell variation, single-cell-level analysis provides unprecedented insight into the dynamics of age-associated changes in blood. In this Review, we summarise recent studies that dissect haematopoietic ageing at the single-cell level. We discuss what cellular changes occur during haematopoietic ageing at the genomic, transcriptomic, epigenomic and metabolomic level, and provide an overview of the benefits of investigating those changes with single-cell precision. We conclude by considering the potential clinical applications of single-cell techniques in geriatric haematology, focusing on the impact on haematopoietic stem cell transplantation in the elderly and infection studies, including recent COVID-19 research.
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Affiliation(s)
- Paulina M Strzelecka
- Department of Hematology, Oncology, and Tumor Immunology, Charité - Universitätsmedizin Berlin, 13353 Berlin, Germany
- German Consortium for Translational Cancer Research (DKTK), 69120 Heidelberg, Germany
| | - Frederik Damm
- Department of Hematology, Oncology, and Tumor Immunology, Charité - Universitätsmedizin Berlin, 13353 Berlin, Germany
- German Consortium for Translational Cancer Research (DKTK), 69120 Heidelberg, Germany
- Berlin Institute of Health, 10178 Berlin, Germany
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10
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Abstract
PURPOSE OF REVIEW The hematopoietic compartment is tasked with the establishment and maintenance of the entire blood program in steady-state and in response to stress. Key to this process are hematopoietic stem cells (HSCs), which possess the unique ability to self-renew and differentiate to replenish blood cells throughout an organism's lifetime. Though tightly regulated, the hematopoietic system is vulnerable to both intrinsic and extrinsic factors that influence hematopoietic stem and progenitor cell (HSPC) fate. Here, we review recent advances in our understanding of hematopoietic regulation under stress conditions such as inflammation, aging, mitochondrial defects, and damage to DNA or endoplasmic reticulum. RECENT FINDINGS Recent studies have illustrated the vast mechanisms involved in regulating stress-induced hematopoiesis, including cytokine-mediated lineage bias, gene signature changes in aged HSCs associated with chronic inflammation, the impact of clonal hematopoiesis and stress tolerance, characterization of the HSPC response to endoplasmic reticulum stress and of several epigenetic regulators that influence HSPC response to cell cycle stress. SUMMARY Several key recent findings have deepened our understanding of stress hematopoiesis. These studies will advance our abilities to reduce the impact of stress in disease and aging through clinical interventions to treat stress-related outcomes.
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11
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Rozhok AI, Silberman RE, Higa KC, Liggett LA, Amon A, DeGregori J. A somatic evolutionary model of the dynamics of aneuploid cells during hematopoietic reconstitution. Sci Rep 2020; 10:12198. [PMID: 32699207 PMCID: PMC7376010 DOI: 10.1038/s41598-020-68729-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 04/28/2020] [Indexed: 11/28/2022] Open
Abstract
Aneuploidy is a feature of many cancers. Recent studies demonstrate that in the hematopoietic stem and progenitor cell (HSPC) compartment aneuploid cells have reduced fitness and are efficiently purged from the bone marrow. However, early phases of hematopoietic reconstitution following bone marrow transplantation provide a window of opportunity whereby aneuploid cells rise in frequency, only to decline to basal levels thereafter. Here we demonstrate by Monte Carlo modeling that two mechanisms could underlie this aneuploidy peak: rapid expansion of the engrafted HSPC population and bone marrow microenvironment degradation caused by pre-transplantation radiation treatment. Both mechanisms reduce the strength of purifying selection acting in early post-transplantation bone marrow. We explore the contribution of other factors such as alterations in cell division rates that affect the strength of purifying selection, the balance of drift and selection imposed by the HSPC population size, and the mutation-selection balance dependent on the rate of aneuploidy generation per cell division. We propose a somatic evolutionary model for the dynamics of cells with aneuploidy or other fitness-reducing mutations during hematopoietic reconstitution following bone marrow transplantation. Similar alterations in the strength of purifying selection during cancer development could help explain the paradox of aneuploidy abundance in tumors despite somatic fitness costs.
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Affiliation(s)
- Andrii I Rozhok
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
| | - Rebecca E Silberman
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Kelly C Higa
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.,Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - L Alex Liggett
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Angelika Amon
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - James DeGregori
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. .,Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. .,Department of Pediatrics, Section of Pediatric Hematology/Oncology/BMT, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. .,Department of Medicine, Section of Hematology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
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12
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Hoffmeister-Ullerich S. Competitive and Clonal Dominance Behavior: Raising Awareness of Their Role in Shape Generation. Bioessays 2020; 42:e2000127. [PMID: 32638390 DOI: 10.1002/bies.202000127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Indexed: 11/09/2022]
Abstract
Gene regulatory networks, which are crucial for the proper development of organisms, are extensively studied. From these investigations, coordinative mechanisms are shown to be instructive for further development. Competitive mechanisms as well as environmental and metabolic influences, however, are widely ignored so far but appear to be important for the emergence of shape.
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Affiliation(s)
- Sabine Hoffmeister-Ullerich
- Bioanalytics Facility, Center for Molecular Neurobiology, ZMNH, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany
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13
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HDAC11 deficiency disrupts oncogene-induced hematopoiesis in myeloproliferative neoplasms. Blood 2020; 135:191-207. [PMID: 31750881 DOI: 10.1182/blood.2019895326] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 11/02/2019] [Indexed: 12/19/2022] Open
Abstract
Protein acetylation is an important contributor to cancer initiation. Histone deacetylase 6 (HDAC6) controls JAK2 translation and protein stability and has been implicated in JAK2-driven diseases best exemplified by myeloproliferative neoplasms (MPNs). By using novel classes of highly selective HDAC inhibitors and genetically deficient mouse models, we discovered that HDAC11 rather than HDAC6 is necessary for the proliferation and survival of oncogenic JAK2-driven MPN cells and patient samples. Notably, HDAC11 is variably expressed in primitive stem cells and is expressed largely upon lineage commitment. Although Hdac11is dispensable for normal homeostatic hematopoietic stem and progenitor cell differentiation based on chimeric bone marrow reconstitution, Hdac11 deficiency significantly reduced the abnormal megakaryocyte population, improved splenic architecture, reduced fibrosis, and increased survival in the MPLW515L-MPN mouse model during primary and secondary transplantation. Therefore, inhibitors of HDAC11 are an attractive therapy for treating patients with MPN. Although JAK2 inhibitor therapy provides substantial clinical benefit in MPN patients, the identification of alternative therapeutic targets is needed to reverse MPN pathogenesis and control malignant hematopoiesis. This study establishes HDAC11 as a unique type of target molecule that has therapeutic potential in MPN.
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14
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Immune Dysregulation and Recurring Mutations in Myelodysplastic Syndromes Pathogenesis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1326:1-10. [PMID: 33385175 DOI: 10.1007/5584_2020_608] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Myelodysplastic syndromes (MDS) are clonal stem cell malignancies characterized by ineffective hematopoiesis leading to peripheral cytopenias and variable risk of progression to acute myeloid leukemia. Inflammation is associated with MDS pathogenesis. Several cytokines, reactive species of oxygen/nitrogen and growth factors are directly or indirectly involved in dysfunction of the MDS bone marrow (BM) microenvironment. Mutations in genes mainly regulating RNA splicing, DNA methylation and chromatin accessibility, transcription factors, signal transduction and the response to DNA damage contribute to ineffective hematopoiesis, genomic instability and MDS development. The inflammation-associated DNA damage in hematopoietic stem cells may also contribute to MDS development and progression with aggressive clinical characteristics. Many studies have aimed at clarifying mechanisms involved in the activity of immature myeloid cells as powerful modulators of the immune response and their correlation with aging, autoimmunity, and development of cancer. In this review, we explore recent advances and accumulating evidence uniting immune dysregulation, inflammaging and recurring mutations in the pathogenesis of MDS.
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