1
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Li T, Gui X, Li B, Hu X, Wang Y. LSP1 promotes the progression of acute myelogenous leukemia by regulating KSR/ERK signaling pathway and cell migration. Hematology 2024; 29:2330285. [PMID: 38511641 DOI: 10.1080/16078454.2024.2330285] [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: 06/03/2023] [Accepted: 03/10/2024] [Indexed: 03/22/2024] Open
Abstract
We aimed to investigate the role and mechanism of LSP1 in the progression of acute myelogenous leukemia. In this study, we established shLSP1 cell line to analyze the function of LSP1 in AML. We observed high expression of LSP1 in AML patients, whereas it showed no expression in normal adults. Furthermore, we found that LSP1 expression was associated with disease prognosis. Our results indicate that LSP1 plays a crucial role in mediating proliferation and survival of leukemia cells through the KSR/ERK signaling pathway. Additionally, LSP1 promotes cell chemotaxis and homing by enhancing cell adhesion and migration. We also discovered that LSP1 confers chemotactic ability to leukemia cells in vivo. Finally, our study identified 12 genes related to LSP1 in AML, which indicated poor survival outcome in AML patients and were enriched in Ras and cell adhesion signaling pathways. Our results revealed that the overexpression of LSP1 is related to the activation of the KSR/ERK signaling pathway, as well as cell adhesion and migration in AML patients. Reducing LSP1 expression impair AML progression, suggesting that LSP1 may serve as a potential drug therapy target for more effective treatment of AML.
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Affiliation(s)
- Tan Li
- Department of Hematology, Hefei City First People's Hospital, Hefei, People's Republic of China
| | - Xiaochen Gui
- College & Hospital of Stomatology, Anhui Medical University, Key Lab of Oral Diseases Research of Anhui Province, Hefei, People's Republic of China
| | - Bin Li
- Department of Hematology, Hefei City First People's Hospital, Hefei, People's Republic of China
| | - Xueying Hu
- Department of Hematology, Hefei City First People's Hospital, Hefei, People's Republic of China
| | - Yuanyin Wang
- College & Hospital of Stomatology, Anhui Medical University, Key Lab of Oral Diseases Research of Anhui Province, Hefei, People's Republic of China
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2
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Zhang S, Lou S, Bian W, Liu J, Wang R, Wang Y, Zhao Y, Zou X, Jin D, Liang Y, Sun J, Liu L. Selective eradication of venetoclax-resistant monocytic acute myeloid leukemia with iron oxide nanozymes. Biochem Biophys Res Commun 2024; 719:150117. [PMID: 38761635 DOI: 10.1016/j.bbrc.2024.150117] [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: 04/23/2024] [Revised: 04/23/2024] [Accepted: 05/13/2024] [Indexed: 05/20/2024]
Abstract
The clinical treatment of human acute myeloid leukemia (AML) is rapidly progressing from chemotherapy to targeted therapies led by the BCL-2 inhibitor venetoclax (VEN). Despite its unprecedented success, VEN still encounters clinical resistance. Thus, uncovering the biological vulnerability of VEN-resistant AML disease and identifying effective therapies to treat them are urgently needed. We have previously demonstrated that iron oxide nanozymes (IONE) are capable of overcoming chemoresistance in AML. The current study reports a new activity of IONE in overcoming VEN resistance. Specifically, we revealed an aberrant redox balance with excessive intracellular reactive oxygen species (ROS) in VEN-resistant monocytic AML. Treatment with IONE potently induced ROS-dependent cell death in monocytic AML in both cell lines and primary AML models. In primary AML with developmental heterogeneity containing primitive and monocytic subpopulations, IONE selectively eradicated the VEN-resistant ROS-high monocytic subpopulation, successfully resolving the challenge of developmental heterogeneity faced by VEN. Overall, our study revealed an aberrant redox balance as a therapeutic target for monocytic AML and identified a candidate IONE that could selectively and potently eradicate VEN-resistant monocytic disease.
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MESH Headings
- Humans
- Sulfonamides/pharmacology
- Bridged Bicyclo Compounds, Heterocyclic/pharmacology
- Bridged Bicyclo Compounds, Heterocyclic/therapeutic use
- Drug Resistance, Neoplasm/drug effects
- Reactive Oxygen Species/metabolism
- Antineoplastic Agents/pharmacology
- Antineoplastic Agents/therapeutic use
- Cell Line, Tumor
- Leukemia, Monocytic, Acute/drug therapy
- Leukemia, Monocytic, Acute/metabolism
- Leukemia, Monocytic, Acute/pathology
- Leukemia, Myeloid, Acute/drug therapy
- Leukemia, Myeloid, Acute/metabolism
- Leukemia, Myeloid, Acute/pathology
- Ferric Compounds/pharmacology
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Affiliation(s)
- Shaoqi Zhang
- Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China; Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Shang Lou
- Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Wei Bian
- Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Jun Liu
- Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Rong Wang
- Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China; Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Yanan Wang
- Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Yin Zhao
- Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Xiaoqing Zou
- Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Diange Jin
- Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China; Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Yue Liang
- Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China
| | - Jie Sun
- Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
| | - Lina Liu
- Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China; Liangzhu Laboratory, Zhejiang University, Hangzhou, 311121, China.
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3
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Alhaj Hussen K, Louis V, Canque B. A new model of human lymphopoiesis across development and aging. Trends Immunol 2024; 45:495-510. [PMID: 38908962 DOI: 10.1016/j.it.2024.05.007] [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: 05/06/2024] [Revised: 05/25/2024] [Accepted: 05/26/2024] [Indexed: 06/24/2024]
Abstract
Over the past decade our research has implemented a multimodal approach to human lymphopoiesis, combining clonal-scale mapping of lymphoid developmental architecture with the monitoring of dynamic changes in the pattern of lymphocyte generation across ontogeny. We propose that lymphopoiesis stems from founder populations of CD127/interleukin (IL)7R- or CD127/IL7R+ early lymphoid progenitors (ELPs) polarized respectively toward the T-natural killer (NK)/innate lymphoid cell (ILC) or B lineages, arising from newly characterized CD117lo multi-lymphoid progenitors (MLPs). Recent data on the lifelong lymphocyte dynamics of healthy donors suggest that, after birth, lymphopoiesis may become increasingly oriented toward the production of B lymphocytes. Stemming from this, we posit that there are three major developmental transitions, the first occurring during the neonatal period, the next at puberty, and the last during aging.
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Affiliation(s)
- Kutaiba Alhaj Hussen
- Service de Biochimie, Université de Paris Saclay, Hôpital Paul Brousse, AP-HP, Paris, France
| | - Valentine Louis
- INSERM 1151, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut Necker Enfants Malades (INEM), Paris, France
| | - Bruno Canque
- INSERM 1151, Université de Paris, École Pratique des Hautes Études/PSL Research University, Institut Necker Enfants Malades (INEM), Paris, France.
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4
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Vadakekolathu J, Rutella S. Escape from T-cell-targeting immunotherapies in acute myeloid leukemia. Blood 2024; 143:2689-2700. [PMID: 37467496 DOI: 10.1182/blood.2023019961] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/05/2023] [Accepted: 07/05/2023] [Indexed: 07/21/2023] Open
Abstract
ABSTRACT Single-cell and spatial multimodal technologies have propelled discoveries of the solid tumor microenvironment (TME) molecular features and their correlation with clinical response and resistance to immunotherapy. Computational tools are incessantly being developed to characterize tumor-infiltrating immune cells and to model tumor immune escape. These advances have led to substantial research into T-cell hypofunctional states in the TME and their reinvigoration with T-cell-targeting approaches, including checkpoint inhibitors (CPIs). Until recently, we lacked a high-dimensional picture of the acute myeloid leukemia (AML) TME, including compositional and functional differences in immune cells between disease onset and postchemotherapy or posttransplantation relapse, and the dynamic interplay between immune cells and AML blasts at various maturation stages. AML subgroups with heightened interferon gamma (IFN-γ) signaling were shown to derive clinical benefit from CD123×CD3-bispecific dual-affinity retargeting molecules and CPIs, while being less likely to respond to standard-of-care cytotoxic chemotherapy. In this review, we first highlight recent progress into deciphering immune effector states in AML (including T-cell exhaustion and senescence), oncogenic signaling mechanisms that could reduce the susceptibility of AML cells to T-cell-mediated killing, and the dichotomous roles of type I and II IFN in antitumor immunity. In the second part, we discuss how this knowledge could be translated into opportunities to manipulate the AML TME with the aim to overcome resistance to CPIs and other T-cell immunotherapies, building on recent success stories in the solid tumor field, and we provide an outlook for the future.
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Affiliation(s)
- Jayakumar Vadakekolathu
- John van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, United Kingdom
| | - Sergio Rutella
- John van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, United Kingdom
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5
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Abroon S, Nouri M, Mahdavi M. Hesperidin/Salinomycin Combination; a Natural Product for Deactivation of the PI3K/Akt Signaling Pathway and Anti-Apoptotic Factors in KG1a Cells. J Fluoresc 2024:10.1007/s10895-024-03808-4. [PMID: 38916633 DOI: 10.1007/s10895-024-03808-4] [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: 03/27/2024] [Accepted: 06/06/2024] [Indexed: 06/26/2024]
Abstract
AML is a highly aggressive malignant clonal disease of hematopoietic origin. Hesperidin as a polyphenol glycoside, Activates the apoptotic pathway and salinomycin as a k + selective ionophore. We examined how hesperidin and salinomycin induce pro-apoptotic effects in KG1a cells. Cells were divided into four groups; 1) control cells (CRTL), 2) cells treated with hesperidin 85 μM, 3) cells treated with 2 μM salinomycin, 4) cells treated with combination of salinomycin and hesperidin. The MTT assay was implemented to determine the IC50 of hesperidin and salinomycin in KG1a cell lines. Propidium iodide staining and flow cytometry were used to analyze the distribution of the cell cycle. The level of ROS was evaluated by fluorescent microscopy and spectrophotometry. Additionally, Akt, XIAP, Bad, and FOXO1 gene expression was analyzed by real-time PCR. Hesperidin/Salinomycin decreased the viability of KG1a leukemic cells more than Hesperidin and Salinomycin separately. Changes in the shape of apoptotic cells and rise in ROS levels were detected after Hesperidin/Salinomycin treatment. Our findings showed that following Hesperidin/Salinomycin treatment, the expression of PI3K/AKT signaling pathway related genes (AKT, PTEN and FOXO1), were in line with the destruction of KG-1a cells. Furthermore, XIAP and BAD mRNA were regulated to trigger apoptosis in cancer cells. The study discovered that hesperidin and salinomycin, could effectively hinder the PI3K/Akt signaling pathway in leukemia cancer cells. Also, the combination of hesperidin and salinomycin has the potential to be a treatment option for acute myeloid leukemia.
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Affiliation(s)
- Sina Abroon
- Department of Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran
- Department of biochemistry and clinical laboratories, Faculty of medicine, Tabriz University of medical sciences, Tabriz, Iran
| | - Mohammad Nouri
- Department of biochemistry and clinical laboratories, Faculty of medicine, Tabriz University of medical sciences, Tabriz, Iran
| | - Majid Mahdavi
- Department of Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.
- Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
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6
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McCarthy N, Gui G, Dumezy F, Roumier C, Andrew G, Green S, Jenkins M, Adams A, Khan N, Craddock C, Hourigan CS, Plesa A, Freeman S. Pre-emptive detection and evolution of relapse in acute myeloid leukemia by flow cytometric measurable residual disease surveillance. Leukemia 2024:10.1038/s41375-024-02300-z. [PMID: 38890448 DOI: 10.1038/s41375-024-02300-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 06/20/2024]
Abstract
Measurable residual disease (MRD) surveillance in acute myeloid leukemia (AML) may identify patients destined for relapse and thus provide the option of pre-emptive therapy to improve their outcome. Whilst flow cytometric MRD (Flow-MRD) can be applied to high-risk AML/ myelodysplasia patients, its diagnostic performance for detecting impending relapse is unknown. We evaluated this in a cohort comprising 136 true positives (bone marrows preceding relapse by a median of 2.45 months) and 155 true negatives (bone marrows during sustained remission). At an optimal Flow-MRD threshold of 0.040%, clinical sensitivity and specificity for relapse was 74% and 87% respectively (51% and 98% for Flow-MRD ≥ 0.1%) by 'different-from-normal' analysis. Median relapse kinetics were 0.78 log10/month but significantly higher at 0.92 log10/month for FLT3-mutated AML. Computational (unsupervised) Flow-MRD (C-Flow-MRD) generated optimal MRD thresholds of 0.036% and 0.082% with equivalent clinical sensitivity to standard analysis. C-Flow-MRD-identified aberrancies in HLADRlow or CD34+CD38low (LSC-type) subpopulations contributed the greatest clinical accuracy (56% sensitivity, 90% specificity) and notably, by longitudinal profiling expanded rapidly within blasts in > 40% of 86 paired MRD and relapse samples. In conclusion, flow MRD surveillance can detect MRD relapse in high risk AML and its evaluation may be enhanced by computational analysis.
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Affiliation(s)
- Nicholas McCarthy
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Gege Gui
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Florent Dumezy
- Laboratory of Hematology, Lille University Hospital, Lille, France
| | | | - Georgia Andrew
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sarah Green
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | | | | | - Naeem Khan
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | | | - Christopher S Hourigan
- Laboratory of Myeloid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Adriana Plesa
- Lyon University Hospital, CHU-HCL, Lyon Sud, Pierre Benite, France
| | - Sylvie Freeman
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
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7
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Caulier B, Joaquina S, Gelebart P, Dowling TH, Kaveh F, Thomas M, Tandaric L, Wernhoff P, Katyayini NU, Wogsland C, Gjerstad ME, Fløisand Y, Kvalheim G, Marr C, Kobold S, Enserink JM, Gjertsen BT, McCormack E, Inderberg EM, Wälchli S. CD37 is a safe chimeric antigen receptor target to treat acute myeloid leukemia. Cell Rep Med 2024; 5:101572. [PMID: 38754420 PMCID: PMC11228397 DOI: 10.1016/j.xcrm.2024.101572] [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: 10/30/2023] [Revised: 03/05/2024] [Accepted: 04/23/2024] [Indexed: 05/18/2024]
Abstract
Acute myeloid leukemia (AML) is characterized by the accumulation of immature myeloid cells in the bone marrow and the peripheral blood. Nearly half of the AML patients relapse after standard induction therapy, and new forms of therapy are urgently needed. Chimeric antigen receptor (CAR) T therapy has so far not been successful in AML due to lack of efficacy and safety. Indeed, the most attractive antigen targets are stem cell markers such as CD33 or CD123. We demonstrate that CD37, a mature B cell marker, is expressed in AML samples, and its presence correlates with the European LeukemiaNet (ELN) 2017 risk stratification. We repurpose the anti-lymphoma CD37CAR for the treatment of AML and show that CD37CAR T cells specifically kill AML cells, secrete proinflammatory cytokines, and control cancer progression in vivo. Importantly, CD37CAR T cells display no toxicity toward hematopoietic stem cells. Thus, CD37 is a promising and safe CAR T cell AML target.
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MESH Headings
- Humans
- Leukemia, Myeloid, Acute/therapy
- Leukemia, Myeloid, Acute/immunology
- Leukemia, Myeloid, Acute/pathology
- Receptors, Chimeric Antigen/immunology
- Receptors, Chimeric Antigen/metabolism
- Animals
- Immunotherapy, Adoptive/methods
- Mice
- Tetraspanins/immunology
- Cell Line, Tumor
- T-Lymphocytes/immunology
- Antigens, Differentiation, Myelomonocytic/metabolism
- Antigens, Differentiation, Myelomonocytic/immunology
- Female
- Male
- Antigens, Neoplasm
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Affiliation(s)
- Benjamin Caulier
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway; Institute for Cancer Research, Department of Molecular Cell Biology, Oslo University Hospital, Oslo, Norway; Center for Cancer Cell Reprogramming (CanCell), Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Sandy Joaquina
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Pascal Gelebart
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - Tara Helén Dowling
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Pharmacy, Department of Clinical Science, University of Bergen, Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - Fatemeh Kaveh
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Moritz Thomas
- Institue of AI for Health, Helmholtz Munich, 85764 Neuherberg, Germany; School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Luka Tandaric
- Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway; Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Patrik Wernhoff
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Niveditha Umesh Katyayini
- Institute for Cancer Research, Department of Molecular Cell Biology, Oslo University Hospital, Oslo, Norway; Center for Cancer Cell Reprogramming (CanCell), Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Cara Wogsland
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - May Eriksen Gjerstad
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - Yngvar Fløisand
- Institute for Cancer Research, Department of Molecular Cell Biology, Oslo University Hospital, Oslo, Norway
| | - Gunnar Kvalheim
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Carsten Marr
- Institue of AI for Health, Helmholtz Munich, 85764 Neuherberg, Germany
| | - Sebastian Kobold
- Division of Clinical Pharmacology, Department of Medicine IV, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany; German Center for Translational Cancer Research (DKTK), Partner Site Munich, Munich, Germany; Einheit für Klinische Pharmakologie (EKLiP), Helmholtz Zentrum München, Research Center for Environmental Health (HMGU), Neuherberg, Germany
| | - Jorrit M Enserink
- Institute for Cancer Research, Department of Molecular Cell Biology, Oslo University Hospital, Oslo, Norway; Center for Cancer Cell Reprogramming (CanCell), Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Section for Biochemistry and Molecular Biology, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Bjørn Tore Gjertsen
- Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway; Department of Medicine, Hematology Section, Haukeland University Hospital, Bergen, Norway
| | - Emmet McCormack
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Pharmacy, Department of Clinical Science, University of Bergen, Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - Else Marit Inderberg
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Sébastien Wälchli
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway.
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8
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Ortiz Rojas CA, Pereira-Martins DA, Bellido More CC, Sternadt D, Weinhäuser I, Hilberink JR, Coelho-Silva JL, Thomé CH, Ferreira GA, Ammatuna E, Huls G, Valk PJ, Schuringa JJ, Rego EM. A 4-gene prognostic index for enhancing acute myeloid leukaemia survival prediction. Br J Haematol 2024; 204:2287-2300. [PMID: 38651345 DOI: 10.1111/bjh.19472] [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: 02/09/2024] [Revised: 04/01/2024] [Accepted: 04/05/2024] [Indexed: 04/25/2024]
Abstract
Despite advancements in utilizing genetic markers to enhance acute myeloid leukaemia (AML) outcome prediction, significant disease heterogeneity persists, hindering clinical management. To refine survival predictions, we assessed the transcriptome of non-acute promyelocytic leukaemia chemotherapy-treated AML patients from five cohorts (n = 975). This led to the identification of a 4-gene prognostic index (4-PI) comprising CYP2E1, DHCR7, IL2RA and SQLE. The 4-PI effectively stratified patients into risk categories, with the high 4-PI group exhibiting TP53 mutations and cholesterol biosynthesis signatures. Single-cell RNA sequencing revealed enrichment for leukaemia stem cell signatures in high 4-PI cells. Validation across three cohorts (n = 671), including one with childhood AML, demonstrated the reproducibility and clinical utility of the 4-PI, even using cost-effective techniques like real-time quantitative polymerase chain reaction. Comparative analysis with 56 established prognostic indexes revealed the superior performance of the 4-PI, highlighting its potential to enhance AML risk stratification. Finally, the 4-PI demonstrated to be potential marker to reclassified patients from the intermediate ELN2017 category to the adverse category. In conclusion, the 4-PI emerges as a robust and straightforward prognostic tool to improve survival prediction in AML patients.
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Affiliation(s)
- Cesar Alexander Ortiz Rojas
- Hematology Division, Department of Internal Medicine, Laboratório de Investigação Médica (LIM) 31, Hospital das Clínicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, Universidade de São Paulo, São Paulo, São Paulo, Brazil
- Center for Cell-Based Therapy, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Diego Antonio Pereira-Martins
- Hematology Division, Department of Internal Medicine, Laboratório de Investigação Médica (LIM) 31, Hospital das Clínicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, Universidade de São Paulo, São Paulo, São Paulo, Brazil
- Center for Cell-Based Therapy, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Department of Hematology, Cancer Research Centre Groningen, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Candy Christie Bellido More
- Department of Pediatrics, Ribeirao Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Dominique Sternadt
- Department of Hematology, Cancer Research Centre Groningen, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Isabel Weinhäuser
- Hematology Division, Department of Internal Medicine, Laboratório de Investigação Médica (LIM) 31, Hospital das Clínicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, Universidade de São Paulo, São Paulo, São Paulo, Brazil
- Center for Cell-Based Therapy, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Department of Hematology, Cancer Research Centre Groningen, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Jacobien R Hilberink
- Department of Hematology, Cancer Research Centre Groningen, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Juan Luiz Coelho-Silva
- Center for Cell-Based Therapy, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Department of Medical Imaging, Hematology, and Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Carolina Hassibe Thomé
- Hematology Division, Department of Internal Medicine, Laboratório de Investigação Médica (LIM) 31, Hospital das Clínicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Germano Aguiar Ferreira
- Hematology Division, Department of Internal Medicine, Laboratório de Investigação Médica (LIM) 31, Hospital das Clínicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Emanuele Ammatuna
- Department of Hematology, Cancer Research Centre Groningen, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Gerwin Huls
- Department of Hematology, Cancer Research Centre Groningen, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Peter J Valk
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jan Jacob Schuringa
- Department of Hematology, Cancer Research Centre Groningen, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Eduardo Magalhães Rego
- Hematology Division, Department of Internal Medicine, Laboratório de Investigação Médica (LIM) 31, Hospital das Clínicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, Universidade de São Paulo, São Paulo, São Paulo, Brazil
- Center for Cell-Based Therapy, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
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9
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Karami A, Skorski T. DNA damage response genes as biomarkers of therapeutic outcomes in acute myeloid leukemia patients. Leukemia 2024; 38:1407-1410. [PMID: 38734788 PMCID: PMC11147752 DOI: 10.1038/s41375-024-02269-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/23/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024]
Affiliation(s)
- Adam Karami
- Fels Cancer Institute for Personalized Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, 19140, USA
| | - Tomasz Skorski
- Fels Cancer Institute for Personalized Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, 19140, USA.
- Department of Cancer and Cellular Biology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, 19140, USA.
- Nuclear Dynamics and Cancer Program, Fox Chase Cancer Center, Philadelphia, PA, USA.
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10
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Ma C, Hao Y, Shi B, Wu Z, Jin D, Yu X, Jin B. Unveiling mitochondrial and ribosomal gene deregulation and tumor microenvironment dynamics in acute myeloid leukemia. Cancer Gene Ther 2024:10.1038/s41417-024-00788-2. [PMID: 38806621 DOI: 10.1038/s41417-024-00788-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 05/15/2024] [Accepted: 05/21/2024] [Indexed: 05/30/2024]
Abstract
Acute myeloid leukemia (AML) is a malignant clonal hematopoietic disease with a poor prognosis. Understanding the interaction between leukemic cells and the tumor microenvironment (TME) can help predict the prognosis of leukemia and guide its treatment. Re-analyzing the scRNA-seq data from the CSC and G20 cohorts, using a Python-based pipeline including machine-learning-based scVI-tools, recapitulated the distinct hierarchical structure within the samples of AML patients. Weighted correlation network analysis (WGCNA) was conducted to construct a weighted gene co-expression network and to identify gene modules primarily focusing on hematopoietic stem cells (HSCs), multipotent progenitors (MPPs), and natural killer (NK) cells. The analysis revealed significant deregulation in gene modules associated with aerobic respiration and ribosomal/cytoplasmic translation. Cell-cell communications were elucidated by the CellChat package, revealing an imbalance of activating and inhibitory immune signaling pathways. Interception of genes upregulated in leukemic HSCs & MPPs as well as in NKG2A-high NK cells was used to construct prognostic models. Normal Cox and artificial neural network models based on 10 genes were developed. The study reveals the deregulation of mitochondrial and ribosomal genes in AML patients and suggests the co-occurrence of stimulatory and inhibitory factors in the AML TME.
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Affiliation(s)
- Chao Ma
- Institute of Cancer Stem Cell, Dalian Medical University, West Section Lvshun South Road, Dalian, 116044, Liaoning, China
| | - Yuchao Hao
- Department of Hematology, The Second Hospital of Dalian Medical University, West Section Lvshun South Road, Dalian, 116027, Liaoning, China
| | - Bo Shi
- Institute of Cancer Stem Cell, Dalian Medical University, West Section Lvshun South Road, Dalian, 116044, Liaoning, China
| | - Zheng Wu
- Institute of Cancer Stem Cell, Dalian Medical University, West Section Lvshun South Road, Dalian, 116044, Liaoning, China
| | - Di Jin
- Institute of Cancer Stem Cell, Dalian Medical University, West Section Lvshun South Road, Dalian, 116044, Liaoning, China
| | - Xiao Yu
- NHC Key Laboratory of Pneumoconiosis, The First Hospital of Shanxi Medical University, South Jiefang Road, Taiyuan, 030001, Shanxi, China.
| | - Bilian Jin
- Institute of Cancer Stem Cell, Dalian Medical University, West Section Lvshun South Road, Dalian, 116044, Liaoning, China.
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11
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Karakaslar EO, Severens JF, Sánchez-López E, van Veelen PA, Zlei M, van Dongen JJM, Otte AM, Halkes CJM, van Balen P, Veelken H, Reinders MJT, Griffioen M, van den Akker EB. A transcriptomic based deconvolution framework for assessing differentiation stages and drug responses of AML. NPJ Precis Oncol 2024; 8:105. [PMID: 38762545 PMCID: PMC11102519 DOI: 10.1038/s41698-024-00596-9] [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: 09/01/2023] [Accepted: 05/03/2024] [Indexed: 05/20/2024] Open
Abstract
The diagnostic spectrum for AML patients is increasingly based on genetic abnormalities due to their prognostic and predictive value. However, information on the AML blast phenotype regarding their maturational arrest has started to regain importance due to its predictive power for drug responses. Here, we deconvolute 1350 bulk RNA-seq samples from five independent AML cohorts on a single-cell healthy BM reference and demonstrate that the morphological differentiation stages (FAB) could be faithfully reconstituted using estimated cell compositions (ECCs). Moreover, we show that the ECCs reliably predict ex-vivo drug resistances as demonstrated for Venetoclax, a BCL-2 inhibitor, resistance specifically in AML with CD14+ monocyte phenotype. We validate these predictions using LUMC proteomics data by showing that BCL-2 protein abundance is split into two distinct clusters for NPM1-mutated AML at the extremes of CD14+ monocyte percentages, which could be crucial for the Venetoclax dosing patients. Our results suggest that Venetoclax resistance predictions can also be extended to AML without recurrent genetic abnormalities and possibly to MDS-related and secondary AML. Lastly, we show that CD14+ monocytic dominated Ven/Aza treated patients have significantly lower overall survival. Collectively, we propose a framework for allowing a joint mutation and maturation stage modeling that could be used as a blueprint for testing sensitivity for new agents across the various subtypes of AML.
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Affiliation(s)
- E Onur Karakaslar
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeppe F Severens
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - Elena Sánchez-López
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter A van Veelen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Mihaela Zlei
- Department of Flow Cytometry, Medical Laboratory, Regional Institute of Oncology, Iasi, Romania
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jacques J M van Dongen
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
- Centro de Investigación del Cáncer-Instituto de Biología Molecular y Celular del Cáncer (CIC-IBMCC, USAL-CSIC-FICUS) and Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Annemarie M Otte
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Peter van Balen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Hendrik Veelken
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marcel J T Reinders
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke Griffioen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik B van den Akker
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands.
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands.
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12
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Zhou J, Chng WJ. Unveiling novel insights in acute myeloid leukemia through single-cell RNA sequencing. Front Oncol 2024; 14:1365330. [PMID: 38711849 PMCID: PMC11070491 DOI: 10.3389/fonc.2024.1365330] [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: 01/04/2024] [Accepted: 04/09/2024] [Indexed: 05/08/2024] Open
Abstract
Acute myeloid leukemia (AML) is a complex and heterogeneous group of aggressive hematopoietic stem cell disease. The presence of diverse and functionally distinct populations of leukemia cells within the same patient's bone marrow or blood poses a significant challenge in diagnosing and treating AML. A substantial proportion of AML patients demonstrate resistance to induction chemotherapy and a grim prognosis upon relapse. The rapid advance in next generation sequencing technologies, such as single-cell RNA-sequencing (scRNA-seq), has revolutionized our understanding of AML pathogenesis by enabling high-resolution interrogation of the cellular heterogeneity in the AML ecosystem, and their transcriptional signatures at a single-cell level. New studies have successfully characterized the inextricably intertwined interactions among AML cells, immune cells and bone marrow microenvironment and their contributions to the AML development, therapeutic resistance and relapse. These findings have deepened and broadened our understanding the complexity and heterogeneity of AML, which are difficult to detect with bulk RNA-seq. This review encapsulates the burgeoning body of knowledge generated through scRNA-seq, providing the novel insights and discoveries it has unveiled in AML biology. Furthermore, we discuss the potential implications of scRNA-seq in therapeutic opportunities, focusing on immunotherapy. Finally, we highlight the current limitations and future direction of scRNA-seq in the field.
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Affiliation(s)
- Jianbiao Zhou
- Cancer Science Institute of Singapore, Center for Translational Medicine, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Center for Cancer Research, Center for Translational Medicine, Singapore, Singapore
| | - Wee-Joo Chng
- Cancer Science Institute of Singapore, Center for Translational Medicine, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Center for Cancer Research, Center for Translational Medicine, Singapore, Singapore
- Department of Hematology-Oncology, National University Cancer Institute of Singapore (NCIS), The National University Health System (NUHS), Singapore, Singapore
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13
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Huang X, Li Y, Zhang J, Yan L, Zhao H, Ding L, Bhatara S, Yang X, Yoshimura S, Yang W, Karol SE, Inaba H, Mullighan C, Litzow M, Zhu X, Zhang Y, Stock W, Jain N, Jabbour E, Kornblau SM, Konopleva M, Pui CH, Paietta E, Evans W, Yu J, Yang JJ. Single-cell systems pharmacology identifies development-driven drug response and combination therapy in B cell acute lymphoblastic leukemia. Cancer Cell 2024; 42:552-567.e6. [PMID: 38593781 PMCID: PMC11008188 DOI: 10.1016/j.ccell.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 02/19/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024]
Abstract
Leukemia can arise at various stages of the hematopoietic differentiation hierarchy, but the impact of developmental arrest on drug sensitivity is unclear. Applying network-based analyses to single-cell transcriptomes of human B cells, we define genome-wide signaling circuitry for each B cell differentiation stage. Using this reference, we comprehensively map the developmental states of B cell acute lymphoblastic leukemia (B-ALL), revealing its strong correlation with sensitivity to asparaginase, a commonly used chemotherapeutic agent. Single-cell multi-omics analyses of primary B-ALL blasts reveal marked intra-leukemia heterogeneity in asparaginase response: resistance is linked to pre-pro-B-like cells, with sensitivity associated with the pro-B-like population. By targeting BCL2, a driver within the pre-pro-B-like cell signaling network, we find that venetoclax significantly potentiates asparaginase efficacy in vitro and in vivo. These findings demonstrate a single-cell systems pharmacology framework to predict effective combination therapies based on intra-leukemia heterogeneity in developmental state, with potentially broad applications beyond B-ALL.
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Affiliation(s)
- Xin Huang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Institute of Health and Medicine, Hefei Comprehensive National Science Center, Hefei, Anhui 230601, China
| | - Yizhen Li
- Division of Pharmaceutical Sciences, Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Hematology, Children's Hospital of Soochow University, Suzhou, Jiangsu 215003, China
| | - Jingliao Zhang
- Department of Pediatrics Blood Diseases Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Lei Yan
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Huanbin Zhao
- Division of Pharmaceutical Sciences, Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Liang Ding
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Sheetal Bhatara
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Xu Yang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Satoshi Yoshimura
- Division of Pharmaceutical Sciences, Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Wenjian Yang
- Division of Pharmaceutical Sciences, Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Seth E Karol
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Hiroto Inaba
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Charles Mullighan
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Mark Litzow
- Division of Hematology, Mayo Clinic, Rochester, MN 55905, USA
| | - Xiaofan Zhu
- Department of Pediatrics Blood Diseases Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yingchi Zhang
- Department of Pediatrics Blood Diseases Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Wendy Stock
- Department of Medicine Section of Hematology-Oncology, University of Chicago, Chicago, IL 60637, USA
| | - Nitin Jain
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Elias Jabbour
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Steven M Kornblau
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Marina Konopleva
- Department of Oncology and Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Ching-Hon Pui
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Elisabeth Paietta
- Cancer Center, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - William Evans
- Division of Pharmaceutical Sciences, Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Jiyang Yu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
| | - Jun J Yang
- Division of Pharmaceutical Sciences, Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
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14
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Severens JF, Karakaslar EO, van der Reijden BA, Sánchez-López E, van den Berg RR, Halkes CJM, van Balen P, Veelken H, Reinders MJT, Griffioen M, van den Akker EB. Mapping AML heterogeneity - multi-cohort transcriptomic analysis identifies novel clusters and divergent ex-vivo drug responses. Leukemia 2024; 38:751-761. [PMID: 38360865 DOI: 10.1038/s41375-024-02137-6] [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: 06/19/2023] [Revised: 12/28/2023] [Accepted: 01/04/2024] [Indexed: 02/17/2024]
Abstract
Subtyping of acute myeloid leukaemia (AML) is predominantly based on recurrent genetic abnormalities, but recent literature indicates that transcriptomic phenotyping holds immense potential to further refine AML classification. Here we integrated five AML transcriptomic datasets with corresponding genetic information to provide an overview (n = 1224) of the transcriptomic AML landscape. Consensus clustering identified 17 robust patient clusters which improved identification of CEBPA-mutated patients with favourable outcomes, and uncovered transcriptomic subtypes for KMT2A rearrangements (2), NPM1 mutations (5), and AML with myelodysplasia-related changes (AML-MRC) (5). Transcriptomic subtypes of KMT2A, NPM1 and AML-MRC showed distinct mutational profiles, cell type differentiation arrests and immune properties, suggesting differences in underlying disease biology. Moreover, our transcriptomic clusters show differences in ex-vivo drug responses, even when corrected for differentiation arrest and superiorly capture differences in drug response compared to genetic classification. In conclusion, our findings underscore the importance of transcriptomics in AML subtyping and offer a basis for future research and personalised treatment strategies. Our transcriptomic compendium is publicly available and we supply an R package to project clusters to new transcriptomic studies.
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Affiliation(s)
- Jeppe F Severens
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - E Onur Karakaslar
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - Bert A van der Reijden
- Laboratory of Hematology, Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Elena Sánchez-López
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Redmar R van den Berg
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Peter van Balen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Hendrik Veelken
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marcel J T Reinders
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke Griffioen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik B van den Akker
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
- Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, The Netherlands.
- Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, The Netherlands.
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15
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Corre E, Soum C, Pfeifer R, Bessière C, Dailhau S, Marbœuf C, Meggetto F, Touriol C, Récher C, Bousquet M, Pyronnet S. Differential prognostic values of the three AKT isoforms in acute myeloid leukemia. Sci Rep 2024; 14:7070. [PMID: 38528080 PMCID: PMC10963760 DOI: 10.1038/s41598-024-57578-x] [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: 11/24/2023] [Accepted: 03/19/2024] [Indexed: 03/27/2024] Open
Abstract
The PI3K-AKT-mTOR pathway lies at the confluence of signaling pathways in which various components are subjected to activating genetic alterations in acute myeloid leukemia (AML), thus contributing to oncogenesis. Three AKT isoforms exist in humans. However, whether one isoform predominates in AML remains unknown. This study reveals that AKT3 behaves very distinctly than AKT1 or AKT2 in both normal myeloid differentiation and AML. During normal differentiation, AKT3 is preferentially expressed in hematopoietic stem cells whilst AKT1 becomes preferentially expressed as cells differentiate into granulocytes or monocytes. AKT2 expression remains unchanged. In AML, AKT3 expression varies widely among patient samples and is counterintuitively high in mature/monocytic leukemia. Furthermore, a low level of AKT3 expression is strongly correlated to genetic alterations associated with a better outcome (NPM1 mutations and RUNX1-RUNX1T1 translocation), while a high level is correlated to alterations associated to a bad outcome (RUNX1 mutations; and SRSF2, U2AF1, SF3B1, ASXL1 and BCOR mutations occurring frequently in MDS and MPN). Consistently, a high AKT3 expression level appears as a very strong predictor of poor survival. Curiously, although modestly varying among AML samples, a high AKT1 expression shows in contrast as a strong predictor of a better patient outcome. These data suggest that AKT3 and AKT1 expressions have strong, yet opposite, prognostic values.
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Affiliation(s)
- Eulalie Corre
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France
| | - Cécile Soum
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France
| | - Romain Pfeifer
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France
| | - Chloé Bessière
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France
| | - Sandra Dailhau
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France
| | - Catherine Marbœuf
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France
| | - Fabienne Meggetto
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France
| | - Christian Touriol
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France
| | - Christian Récher
- Service d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopôle, Toulouse, France
| | - Marina Bousquet
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France
| | - Stéphane Pyronnet
- Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Université de Toulouse, Toulouse, France.
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16
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Tang W, Lo CWS, Ma W, Chu ATW, Tong AHY, Chung BHY. Revealing the role of SPP1 + macrophages in glioma prognosis and therapeutic targeting by investigating tumor-associated macrophage landscape in grade 2 and 3 gliomas. Cell Biosci 2024; 14:37. [PMID: 38515213 PMCID: PMC10956315 DOI: 10.1186/s13578-024-01218-4] [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: 10/27/2023] [Accepted: 03/13/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Glioma is a highly heterogeneous brain tumor categorized into World Health Organization (WHO) grades 1-4 based on its malignancy. The suppressive immune microenvironment of glioma contributes significantly to unfavourable patient outcomes. However, the cellular composition and their complex interplays within the glioma environment remain poorly understood, and reliable prognostic markers remain elusive. Therefore, in-depth exploration of the tumor microenvironment (TME) and identification of predictive markers are crucial for improving the clinical management of glioma patients. RESULTS Our analysis of single-cell RNA-sequencing data from glioma samples unveiled the immunosuppressive role of tumor-associated macrophages (TAMs), mediated through intricate interactions with tumor cells and lymphocytes. We also discovered the heterogeneity within TAMs, among which a group of suppressive TAMs named TAM-SPP1 demonstrated a significant association with Epidermal Growth Factor Receptor (EGFR) amplification, impaired T cell response and unfavourable patient survival outcomes. Furthermore, by leveraging genomic and transcriptomic data from The Cancer Genome Atlas (TCGA) dataset, two distinct molecular subtypes with a different constitution of TAMs, EGFR status and clinical outcomes were identified. Exploiting the molecular differences between these two subtypes, we developed a four-gene-based prognostic model. This model displayed strong associations with an elevated level of suppressive TAMs and could be used to predict anti-tumor immune response and prognosis in glioma patients. CONCLUSION Our findings illuminated the molecular and cellular mechanisms that shape the immunosuppressive microenvironment in gliomas, providing novel insights into potential therapeutic targets. Furthermore, the developed prognostic model holds promise for predicting immunotherapy response and assisting in more precise risk stratification for glioma patients.
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Affiliation(s)
- Wenshu Tang
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Cario W S Lo
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Wei Ma
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Annie T W Chu
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Amy H Y Tong
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Brian H Y Chung
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China.
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
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17
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Kang M, Armenteros JJA, Gulati GS, Gleyzer R, Avagyan S, Brown EL, Zhang W, Usmani A, Earland N, Wu Z, Zou J, Fields RC, Chen DY, Chaudhuri AA, Newman AM. Mapping single-cell developmental potential in health and disease with interpretable deep learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.19.585637. [PMID: 38562882 PMCID: PMC10983880 DOI: 10.1101/2024.03.19.585637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cell fate in developmental systems. However, identifying the molecular hallmarks of potency - the capacity of a cell to differentiate into other cell types - has remained challenging. Here, we introduce CytoTRACE 2, an interpretable deep learning framework for characterizing potency and differentiation states on an absolute scale from scRNA-seq data. Across 31 human and mouse scRNA-seq datasets encompassing 28 tissue types, CytoTRACE 2 outperformed existing methods for recovering experimentally determined potency levels and differentiation states covering the entire range of cellular ontogeny. Moreover, it reconstructed the temporal hierarchy of mouse embryogenesis across 62 timepoints; identified pan-tissue expression programs that discriminate major potency levels; and facilitated discovery of cellular phenotypes in cancer linked to survival and immunotherapy resistance. Our results illuminate a fundamental feature of cell biology and provide a broadly applicable platform for delineating single-cell differentiation landscapes in health and disease.
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18
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Safri F, Nguyen R, Zerehpooshnesfchi S, George J, Qiao L. Heterogeneity of hepatocellular carcinoma: from mechanisms to clinical implications. Cancer Gene Ther 2024:10.1038/s41417-024-00764-w. [PMID: 38499648 DOI: 10.1038/s41417-024-00764-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 03/06/2024] [Accepted: 03/08/2024] [Indexed: 03/20/2024]
Abstract
Hepatocellular Carcinoma (HCC) is one of the most common types of primary liver cancer. Current treatment options have limited efficacy against this malignancy, primarily owing to difficulties in early detection and the inherent resistance to existing drugs. Tumor heterogeneity is a pivotal factor contributing significantly to treatment resistance and recurrent manifestations of HCC. Intratumoral heterogeneity is an important aspect of the spectrum of complex tumor heterogeneity and contributes to late diagnosis and treatment failure. Therefore, it is crucial to thoroughly understand the molecular mechanisms of how tumor heterogeneity develops. This review aims to summarize the possible molecular dimensions of tumor heterogeneity with an emphasis on intratumoral heterogeneity, evaluate its profound impact on the diagnosis and therapeutic strategies for HCC, and explore the suitability of appropriate pre-clinical models that can be used to best study tumor heterogeneity; thus, opening new avenues for cancer treatment.
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Affiliation(s)
- Fatema Safri
- Storr Liver Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, 2145, Australia
| | - Romario Nguyen
- Storr Liver Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, 2145, Australia
| | - Shadi Zerehpooshnesfchi
- Storr Liver Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, 2145, Australia
| | - Jacob George
- Storr Liver Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, 2145, Australia.
| | - Liang Qiao
- Storr Liver Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, 2145, Australia.
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19
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Paudel BB, Tan SF, Fox TE, Ung J, Golla U, Shaw JJP, Dunton W, Lee I, Fares WA, Patel S, Sharma A, Viny AD, Barth BM, Tallman MS, Cabot M, Garrett-Bakelman FE, Levine RL, Kester M, Feith DJ, Claxton D, Janes KA, Loughran TP. Acute myeloid leukemia stratifies as 2 clinically relevant sphingolipidomic subtypes. Blood Adv 2024; 8:1137-1142. [PMID: 38170742 PMCID: PMC10909712 DOI: 10.1182/bloodadvances.2023010535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 10/06/2023] [Accepted: 10/27/2023] [Indexed: 01/05/2024] Open
Affiliation(s)
- B. Bishal Paudel
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Su-Fern Tan
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Todd E. Fox
- Department of Pharmacology, University of Virginia, Charlottesville, VA
| | - Johnson Ung
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- Department of Microbiology/Immunology/Cancer Biology, University of Virginia, Charlottesville, VA
| | - Upendarrao Golla
- Department of Medicine, Division of Hematology and Oncology, Pennsylvania State University College of Medicine, Hershey, PA
| | - Jeremy J. P. Shaw
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Wendy Dunton
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
| | - Irene Lee
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- Department of Internal Medicine, Baylor College of Medicine, Houston, TX
| | - Wisam A. Fares
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Satyam Patel
- Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, PA
| | - Arati Sharma
- Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, PA
- Penn State Cancer Institute, Hershey, PA
| | - Aaron D. Viny
- Department of Medicine, Division of Hematology & Oncology, and of Genetics & Development, Herbert Irving Comprehensive Cancer Center, New York, NY
- Columbia Stem Cell Initiative, Columbia University Irving Medical Center, New York, NY
| | - Brian M. Barth
- Department of Chemistry, Biology, and Health Sciences, South Dakota School of Mines and Technology, Rapid City, SD
- Department of Natural Sciences, University of Alaska Southeast, Juneau, AK
| | - Martin S. Tallman
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Myles Cabot
- Department of Biochemistry & Molecular Biology, East Carolina University, Greenville, NC
- East Carolina Diabetes and Obesity Institute, Brody School of Medicine, East Carolina University, Greenville, NC
| | - Francine E. Garrett-Bakelman
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA
- University of Virginia Cancer Center, Charlottesville, VA
| | - Ross L. Levine
- Human Oncology and Pathogenesis Program and Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mark Kester
- Department of Pharmacology, University of Virginia, Charlottesville, VA
| | - David J. Feith
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- University of Virginia Cancer Center, Charlottesville, VA
| | - David Claxton
- Department of Medicine, Division of Hematology and Oncology, Pennsylvania State University College of Medicine, Hershey, PA
- Penn State Cancer Institute, Hershey, PA
| | - Kevin A. Janes
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA
- University of Virginia Cancer Center, Charlottesville, VA
| | - Thomas P. Loughran
- Department of Medicine, Division of Hematology & Oncology, University of Virginia, Charlottesville, VA
- University of Virginia Cancer Center, Charlottesville, VA
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20
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Bonilla G, Morris A, Kundu S, Ducasse A, Jeffries NE, Chetal K, Yvanovich EE, Barghout R, Scadden D, Mansour MK, Kingston RE, Sykes DB, Mercier FE, Sadreyev RI. Leukemia aggressiveness is driven by chromatin remodeling and expression changes of core regulators. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.29.582846. [PMID: 38496490 PMCID: PMC10942317 DOI: 10.1101/2024.02.29.582846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Molecular mechanisms driving clonal aggressiveness in leukemia are not fully understood. We tracked and analyzed two mouse MLL-rearranged leukemic clones independently evolving towards higher aggressiveness. More aggressive subclones lost their growth differential ex vivo but restored it upon secondary transplantation, suggesting molecular memory of aggressiveness. Development of aggressiveness was associated with clone-specific gradual modulation of chromatin states and expression levels across the genome, with a surprising preferential trend of reversing the earlier changes between normal and leukemic progenitors. To focus on the core aggressiveness program, we identified genes with consistent changes of expression and chromatin marks that were maintained in vivo and ex vivo in both clones. Overexpressing selected core genes (Smad1 as aggressiveness driver, Irx5 and Plag1 as suppressors) affected leukemic progenitor growth in the predicted way and had convergent downstream effects on central transcription factors and repressive epigenetic modifiers, suggesting a broader regulatory network of leukemic aggressiveness.
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21
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Wei Y, Liu W, Wang R, Chen Y, Liu J, Guo X, Can C, Yang X, Wang D, Hu X, Ma D. Propionate promotes ferroptosis and apoptosis through mitophagy and ACSL4-mediated ferroptosis elicits anti-leukemia immunity. Free Radic Biol Med 2024; 213:36-51. [PMID: 38215892 DOI: 10.1016/j.freeradbiomed.2024.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 01/04/2024] [Indexed: 01/14/2024]
Abstract
Short-chain fatty acids (SCFAs), particularly propionate and butyrate, have been reported in many cancers. However, the relationship between propionate and acute myeloid leukemia (AML) remains unclear. Additionally, Acyl-CoA synthetase long chain family member 4 (ACSL4) has been reported to regulate immunity in solid tumors, but there are still many gaps to be filled in AML. Here, we discovered the underlying mechanism of propionate and ACSL4-mediated ferroptosis for immunotherapy. Our results showed that the level of propionate in the AML patients' feces was decreased, which was correlated to gut microbiota dysbiosis. Moreover, we demonstrated that propionate suppressed AML progression both in vivo and in vitro. In mechanism, propionate induced AML cells apoptosis and ferroptosis. The imbalance of reactive oxygen species (ROS) and redox homeostasis induced by propionate caused mitochondrial fission and mitophagy, which enhanced ferroptosis and apoptosis. Furthermore, ACSL4-mediated ferroptosis caused by propionate increased the immunogenicity of AML cells, induced the release of damage-associated molecular patterns (DAMPs), and promoted the maturation of dendritic cells (DCs). The increased level of immunogenicity due to ferroptosis enable propionate-based whole-cell vaccines to activate immunity, thus further facilitating effective killing of AML cells. Collectively, our study uncovers a crucial role for propionate suppresses AML progression by inducing ferroptosis and the potential mechanisms of ACSL4-mediated ferroptosis in the regulation of AML immunity.
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Affiliation(s)
- Yihong Wei
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China
| | - Wancheng Liu
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China
| | - Ruiqing Wang
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China
| | - Yuhong Chen
- Nanyang Technological University, Nanyang Avenue, Singapore
| | - Jinting Liu
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China
| | - Xiaodong Guo
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China
| | - Can Can
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China
| | - Xinyu Yang
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China
| | - Dongmei Wang
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China
| | - Xiang Hu
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China
| | - Daoxin Ma
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, Shandong, PR China.
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22
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Xu X, Yu Y, Zhang W, Ma W, He C, Qiu G, Wang X, Liu Q, Zhao M, Xie J, Tao F, Perry JM, Liu Q, Rao S, Kang X, Zhao M, Jiang L. SHP-1 inhibition targets leukaemia stem cells to restore immunosurveillance and enhance chemosensitivity by metabolic reprogramming. Nat Cell Biol 2024; 26:464-477. [PMID: 38321204 DOI: 10.1038/s41556-024-01349-3] [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: 03/22/2023] [Accepted: 01/03/2024] [Indexed: 02/08/2024]
Abstract
Leukaemia stem cells (LSCs) in acute myeloid leukaemia present a considerable treatment challenge due to their resistance to chemotherapy and immunosurveillance. The connection between these properties in LSCs remains poorly understood. Here we demonstrate that inhibition of tyrosine phosphatase SHP-1 in LSCs increases their glycolysis and oxidative phosphorylation, enhancing their sensitivity to chemotherapy and vulnerability to immunosurveillance. Mechanistically, SHP-1 inhibition leads to the upregulation of phosphofructokinase platelet (PFKP) through the AKT-β-catenin pathway. The increase in PFKP elevates energy metabolic activities and, as a consequence, enhances the sensitivity of LSCs to chemotherapeutic agents. Moreover, the upregulation of PFKP promotes MYC degradation and, consequently, reduces the immune evasion abilities of LSCs. Overall, our study demonstrates that targeting SHP-1 disrupts the metabolic balance in LSCs, thereby increasing their vulnerability to chemotherapy and immunosurveillance. This approach offers a promising strategy to overcome LSC resistance in acute myeloid leukaemia.
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Affiliation(s)
- Xi Xu
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University Guangzhou, Guangdong, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yanhui Yu
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Wenwen Zhang
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University Guangzhou, Guangdong, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Weiwei Ma
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University Guangzhou, Guangdong, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Chong He
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University Guangzhou, Guangdong, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Guo Qiu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xinyi Wang
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University Guangzhou, Guangdong, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Qiong Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Minyi Zhao
- Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jiayi Xie
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University Guangzhou, Guangdong, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Fang Tao
- Children's Mercy Hospital, University of Kansas Medical Center, University of Missouri, Kansas City, MO, USA
| | - John M Perry
- Children's Mercy Hospital, University of Kansas Medical Center, University of Missouri, Kansas City, MO, USA
| | - Qifa Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shuan Rao
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| | - Xunlei Kang
- Center for Precision Medicine, Department of Medicine, University of Missouri, Columbia, MO, USA.
| | - Meng Zhao
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University Guangzhou, Guangdong, China.
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
| | - Linjia Jiang
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
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23
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Wang B, Reville PK, Yassouf MY, Jelloul FZ, Ly C, Desai PN, Wang Z, Borges P, Veletic I, Dasdemir E, Burks JK, Tang G, Guo S, Garza AI, Nasnas C, Vaughn NR, Baran N, Deng Q, Matthews J, Gunaratne PH, Antunes DA, Ekmekcioglu S, Sasaki K, Garcia MB, Cuglievan B, Hao D, Daver N, Green MR, Konopleva M, Futreal A, Post SM, Abbas HA. Comprehensive characterization of IFNγ signaling in acute myeloid leukemia reveals prognostic and therapeutic strategies. Nat Commun 2024; 15:1821. [PMID: 38418901 PMCID: PMC10902356 DOI: 10.1038/s41467-024-45916-6] [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: 07/07/2023] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
Interferon gamma (IFNγ) is a critical cytokine known for its diverse roles in immune regulation, inflammation, and tumor surveillance. However, while IFNγ levels were elevated in sera of most newly diagnosed acute myeloid leukemia (AML) patients, its complex interplay in AML remains insufficiently understood. We aim to characterize these complex interactions through comprehensive bulk and single-cell approaches in bone marrow of newly diagnosed AML patients. We identify monocytic AML as having a unique microenvironment characterized by IFNγ producing T and NK cells, high IFNγ signaling, and immunosuppressive features. IFNγ signaling score strongly correlates with venetoclax resistance in primary AML patient cells. Additionally, IFNγ treatment of primary AML patient cells increased venetoclax resistance. Lastly, a parsimonious 47-gene IFNγ score demonstrates robust prognostic value. In summary, our findings suggest that inhibiting IFNγ is a potential treatment strategy to overcoming venetoclax resistance and immune evasion in AML patients.
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Affiliation(s)
- Bofei Wang
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Patrick K Reville
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mhd Yousuf Yassouf
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fatima Z Jelloul
- Department of Hematopathology, Division of Pathology & Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher Ly
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Poonam N Desai
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- School of Biomedical Informatics, The University of Texas Health Science Center, Houston, TX, USA
| | - Zhe Wang
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pamella Borges
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Ivo Veletic
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Enes Dasdemir
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Jared K Burks
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guilin Tang
- Department of Hematopathology, Division of Pathology & Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shengnan Guo
- School of Basic Medical Sciences, Harbin Medical University, Harbin, Heilongjiang, China
| | - Araceli Isabella Garza
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cedric Nasnas
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicole R Vaughn
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Natalia Baran
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Qing Deng
- Department of Lymphoma & Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jairo Matthews
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Preethi H Gunaratne
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Dinler A Antunes
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Suhendan Ekmekcioglu
- Department of Melanoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Koji Sasaki
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Miriam B Garcia
- Department of Pediatrics, Division of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Branko Cuglievan
- Department of Pediatrics, Division of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dapeng Hao
- School of Basic Medical Sciences, Harbin Medical University, Harbin, Heilongjiang, China
| | - Naval Daver
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael R Green
- Department of Lymphoma & Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marina Konopleva
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Oncology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Andrew Futreal
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sean M Post
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hussein A Abbas
- Department of Leukemia, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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24
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Shao T, Li J, Su M, Yang C, Ma Y, Lv C, Wang W, Xie Y, Xu G, Shi C, Zhou X, Fan H, Li Y, Xu J. A machine learning model identifies M3-like subtype in AML based on PML/RARα targets. iScience 2024; 27:108947. [PMID: 38322990 PMCID: PMC10844831 DOI: 10.1016/j.isci.2024.108947] [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: 09/11/2023] [Revised: 11/25/2023] [Accepted: 01/15/2024] [Indexed: 02/08/2024] Open
Abstract
The typical genomic feature of acute myeloid leukemia (AML) M3 subtype is the fusion event of PML/RARα, and ATRA/ATO-based combination therapy is current standard treatment regimen for M3 subtype. Here, a machine-learning model based on expressions of PML/RARα targets was developed to identify M3 patients by analyzing 1228 AML patients. Our model exhibited high accuracy. To enable more non-M3 AML patients to potentially benefit from ATRA/ATO therapy, M3-like patients were further identified. We found that M3-like patients had strong GMP features, including the expression patterns of M3 subtype marker genes, the proportion of myeloid progenitor cells, and deconvolution of AML constituent cell populations. M3-like patients exhibited distinct genomic features, low immune activity and better clinical survival. The initiative identification of patients similar to M3 subtype may help to identify more patients that would benefit from ATO/ATRA treatment and deepen our understanding of the molecular mechanism of AML pathogenesis.
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Affiliation(s)
- Tingting Shao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Jianing Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Minghai Su
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Changbo Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Yingying Ma
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Chongwen Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Wei Wang
- The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Yunjin Xie
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Gang Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Ce Shi
- Key Laboratory of Hepatosplenic Surgery of Ministry of Education, NHC Key Laboratory of Cell Transplantation, the First Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Xinying Zhou
- Key Laboratory of Hepatosplenic Surgery of Ministry of Education, NHC Key Laboratory of Cell Transplantation, the First Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Huitao Fan
- Key Laboratory of Hepatosplenic Surgery of Ministry of Education, NHC Key Laboratory of Cell Transplantation, the First Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Yongsheng Li
- School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin 150001, China
| | - Juan Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
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25
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Jin W, Dai Y, Chen L, Zhu H, Dong F, Zhu H, Meng G, Li J, Chen S, Chen Z, Fang H, Wang K. Cellular hierarchy insights reveal leukemic stem-like cells and early death risk in acute promyelocytic leukemia. Nat Commun 2024; 15:1423. [PMID: 38365836 PMCID: PMC10873341 DOI: 10.1038/s41467-024-45737-7] [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: 04/20/2023] [Accepted: 02/02/2024] [Indexed: 02/18/2024] Open
Abstract
Acute promyelocytic leukemia (APL) represents a paradigm for targeted differentiation therapy, with a minority of patients experiencing treatment failure and even early death. We here report a comprehensive single-cell analysis of 16 APL patients, uncovering cellular compositions and their impact on all-trans retinoic acid (ATRA) response in vivo and early death. We unveil a cellular differentiation hierarchy within APL blasts, rooted in leukemic stem-like cells. The oncogenic PML/RARα fusion protein exerts branch-specific regulation in the APL trajectory, including stem-like cells. APL cohort analysis establishes an association of leukemic stemness with elevated white blood cell counts and FLT3-ITD mutations. Furthermore, we construct an APL-specific stemness score, which proves effective in assessing early death risk. Finally, we show that ATRA induces differentiation of primitive blasts and patients with early death exhibit distinct stemness-associated transcriptional programs. Our work provides a thorough survey of APL cellular hierarchies, offering insights into cellular dynamics during targeted therapy.
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Affiliation(s)
- Wen Jin
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuting Dai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Li Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Honghu Zhu
- Department of Hematology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Fangyi Dong
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Hongming Zhu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Guoyu Meng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Junmin Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Saijuan Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhu Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Hai Fang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Kankan Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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26
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Kellaway SG, Potluri S, Keane P, Blair HJ, Ames L, Worker A, Chin PS, Ptasinska A, Derevyanko PK, Adamo A, Coleman DJL, Khan N, Assi SA, Krippner-Heidenreich A, Raghavan M, Cockerill PN, Heidenreich O, Bonifer C. Leukemic stem cells activate lineage inappropriate signalling pathways to promote their growth. Nat Commun 2024; 15:1359. [PMID: 38355578 PMCID: PMC10867020 DOI: 10.1038/s41467-024-45691-4] [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: 05/02/2023] [Accepted: 01/31/2024] [Indexed: 02/16/2024] Open
Abstract
Acute Myeloid Leukemia (AML) is caused by multiple mutations which dysregulate growth and differentiation of myeloid cells. Cells adopt different gene regulatory networks specific to individual mutations, maintaining a rapidly proliferating blast cell population with fatal consequences for the patient if not treated. The most common treatment option is still chemotherapy which targets such cells. However, patients harbour a population of quiescent leukemic stem cells (LSCs) which can emerge from quiescence to trigger relapse after therapy. The processes that allow such cells to re-grow remain unknown. Here, we examine the well characterised t(8;21) AML sub-type as a model to address this question. Using four primary AML samples and a novel t(8;21) patient-derived xenograft model, we show that t(8;21) LSCs aberrantly activate the VEGF and IL-5 signalling pathways. Both pathways operate within a regulatory circuit consisting of the driver oncoprotein RUNX1::ETO and an AP-1/GATA2 axis allowing LSCs to re-enter the cell cycle while preserving self-renewal capacity.
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Affiliation(s)
- Sophie G Kellaway
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
- Blood Cancer and Stem Cells, Centre for Cancer Sciences, School of Medicine, University of Nottingham, Nottingham, UK.
| | - Sandeep Potluri
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Peter Keane
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - Helen J Blair
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Luke Ames
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Alice Worker
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Paulynn S Chin
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Anetta Ptasinska
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | | | - Assunta Adamo
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Daniel J L Coleman
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Naeem Khan
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Salam A Assi
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | | | - Manoj Raghavan
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
- Centre for Clinical Haematology, Queen Elizabeth Hospital, Birmingham, UK
| | - Peter N Cockerill
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Olaf Heidenreich
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Princess Maxima Center of Pediatric Oncology, Utrecht, Netherlands
| | - Constanze Bonifer
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
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27
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Stevens AM, Terrell M, Rashid R, Fisher KE, Marcogliese AN, Gaikwad A, Rao P, Vrana C, Krueger M, Loken M, Menssen AJ, Cook JA, Keogh N, Alozie M, Oviedo H, Gonzalez AK, Ilangovan T, Kim J, Sandhu S, Redell MS. Addressing a Pre-Clinical Pipeline Gap: Development of the Pediatric Acute Myeloid Leukemia Patient-Derived Xenograft Program at Texas Children's Hospital at Baylor College of Medicine. Biomedicines 2024; 12:394. [PMID: 38397996 PMCID: PMC10886789 DOI: 10.3390/biomedicines12020394] [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: 12/02/2023] [Revised: 01/19/2024] [Accepted: 01/25/2024] [Indexed: 02/25/2024] Open
Abstract
The survival rate of pediatric acute myeloid leukemia (pAML) is currently around 60%. While survival has slowly increased over the past few decades, the development of novel agents likely to further improve survival for this heterogeneous patient population has been limited by gaps in the pAML pre-clinical pipeline. One of the major hurdles in evaluating new agents for pAML is the lack of pAML patient-derived xenograft (PDX) models. Unlike solid tumors and other types of leukemias, AML is notoriously hard to establish in mouse models, likely due in part to the need for specific human microenvironment elements. Our laboratory at TCH/BCM addressed this gap by establishing a systematic PDX workflow, leveraging advanced immunodeficient hosts and capitalizing on our high volume of pAML patients and close coordination between labs and clinical sections. Patients treated at TCH are offered the chance to participate in specimen banking protocols that allow blood and bone marrow collection as well as the collection of relevant clinical data. All patients who consent and have samples available are trialed for PDX development. In addition, samples from the Children's Oncology Group (COG) are also trialed for PDX generation. Serially transplanting PDX models are validated using short tandem repeat (STR) and characterized using both targeted DNA/RNA next generation sequencing and RNAseq. As of March 2023, this systematic approach has resulted in 26 serially transplanting models. Models have been shared with requesting labs to facilitate external pAML pre-clinical studies. Available PDX models can be located through the BCM PDX Portal. We expect our growing PDX resource to make a significant contribution to expediting the testing of promising novel therapeutics for pAML.
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Affiliation(s)
- Alexandra M. Stevens
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Maci Terrell
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Raushan Rashid
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Kevin E. Fisher
- Department of Pathology & Immunology, Baylor College of Medicine, Genomic Medicine Division, Texas Children’s Hospital, Houston, TX 77030, USA
| | - Andrea N. Marcogliese
- Department of Pathology & Immunology, Baylor College of Medicine, Laboratory Medicine Division, Texas Children’s Hospital, Houston, TX 77030, USA
| | - Amos Gaikwad
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Pulivarthi Rao
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Chelsea Vrana
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Michael Krueger
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | | | | | | | - Noah Keogh
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Michelle Alozie
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Hailey Oviedo
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Alan K. Gonzalez
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Tamilini Ilangovan
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Julia Kim
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Sohani Sandhu
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
| | - Michele S. Redell
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children’s Cancer and Hematology Center, Baylor College of Medicine, 1102 Bates St, Suite 750, Houston, TX 77030, USA (M.S.R.)
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28
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Umeda M, Ma J, Westover T, Ni Y, Song G, Maciaszek JL, Rusch M, Rahbarinia D, Foy S, Huang BJ, Walsh MP, Kumar P, Liu Y, Yang W, Fan Y, Wu G, Baker SD, Ma X, Wang L, Alonzo TA, Rubnitz JE, Pounds S, Klco JM. A new genomic framework to categorize pediatric acute myeloid leukemia. Nat Genet 2024; 56:281-293. [PMID: 38212634 PMCID: PMC10864188 DOI: 10.1038/s41588-023-01640-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 12/05/2023] [Indexed: 01/13/2024]
Abstract
Recent studies on pediatric acute myeloid leukemia (pAML) have revealed pediatric-specific driver alterations, many of which are underrepresented in the current classification schemas. To comprehensively define the genomic landscape of pAML, we systematically categorized 887 pAML into 23 mutually distinct molecular categories, including new major entities such as UBTF or BCL11B, covering 91.4% of the cohort. These molecular categories were associated with unique expression profiles and mutational patterns. For instance, molecular categories characterized by specific HOXA or HOXB expression signatures showed distinct mutation patterns of RAS pathway genes, FLT3 or WT1, suggesting shared biological mechanisms. We show that molecular categories were strongly associated with clinical outcomes using two independent cohorts, leading to the establishment of a new prognostic framework for pAML based on these updated molecular categories and minimal residual disease. Together, this comprehensive diagnostic and prognostic framework forms the basis for future classification of pAML and treatment strategies.
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Affiliation(s)
- Masayuki Umeda
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jing Ma
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Tamara Westover
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yonghui Ni
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Guangchun Song
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jamie L Maciaszek
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Michael Rusch
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Delaram Rahbarinia
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Scott Foy
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Benjamin J Huang
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Michael P Walsh
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Priyadarshini Kumar
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yanling Liu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Wenjian Yang
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yiping Fan
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Gang Wu
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Sharyn D Baker
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Lu Wang
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Todd A Alonzo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jeffrey E Rubnitz
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Stanley Pounds
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jeffery M Klco
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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29
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Zhao J, Cato LD, Arora UP, Bao EL, Bryant SC, Williams N, Jia Y, Goldman SR, Nangalia J, Erb MA, Vos SM, Armstrong SA, Sankaran VG. Inherited blood cancer predisposition through altered transcription elongation. Cell 2024; 187:642-658.e19. [PMID: 38218188 PMCID: PMC10872907 DOI: 10.1016/j.cell.2023.12.016] [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: 06/06/2023] [Revised: 11/26/2023] [Accepted: 12/08/2023] [Indexed: 01/15/2024]
Abstract
Despite advances in defining diverse somatic mutations that cause myeloid malignancies, a significant heritable component for these cancers remains largely unexplained. Here, we perform rare variant association studies in a large population cohort to identify inherited predisposition genes for these blood cancers. CTR9, which encodes a key component of the PAF1 transcription elongation complex, is among the significant genes identified. The risk variants found in the cases cause loss of function and result in a ∼10-fold increased odds of acquiring a myeloid malignancy. Partial CTR9 loss of function expands human hematopoietic stem cells (HSCs) by increased super elongation complex-mediated transcriptional activity, which thereby increases the expression of key regulators of HSC self-renewal. By following up on insights from a human genetic study examining inherited predisposition to the myeloid malignancies, we define a previously unknown antagonistic interaction between the PAF1 and super elongation complexes. These insights could enable targeted approaches for blood cancer prevention.
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Affiliation(s)
- Jiawei Zhao
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Cancer Immunology, Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, China.
| | - Liam D Cato
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Uma P Arora
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Erik L Bao
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Nicholas Williams
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK; UK and MRC-Wellcome Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Yuemeng Jia
- Harvard Stem Cell Institute, Cambridge, MA, USA; Stem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Seth R Goldman
- Nascent Transcriptomics Core, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
| | - Jyoti Nangalia
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK; UK and MRC-Wellcome Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Michael A Erb
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA, USA
| | - Seychelle M Vos
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Scott A Armstrong
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Stem Cell Institute, Cambridge, MA, USA.
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30
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Mohanty V, Baran N, Huang Y, Ramage CL, Cooper LM, He S, Iqbal R, Daher M, Tyner JW, Mills GB, Konopleva M, Chen K. Transcriptional and phenotypic heterogeneity underpinning venetoclax resistance in AML. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.27.577579. [PMID: 38352538 PMCID: PMC10862759 DOI: 10.1101/2024.01.27.577579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
The venetoclax BCL2 inhibitor in combination with hypomethylating agents represents a cornerstone of induction therapy for older AML patients, unfit for intensive chemotherapy. Like other targeted therapies, venetoclax-based therapies suffer from innate and acquired resistance. While several mechanisms of resistance have been identified, the heterogeneity of resistance mechanism across patient populations is poorly understood. Here we utilized integrative analysis of transcriptomic and ex-vivo drug response data in AML patients to identify four transcriptionally distinct VEN resistant clusters (VR_C1-4), with distinct phenotypic, genetic and drug response patterns. VR_C1 was characterized by enrichment for differentiated monocytic- and cDC-like blasts, transcriptional activation of PI3K-AKT-mTOR signaling axis, and energy metabolism pathways. They showed sensitivity to mTOR and CDK inhibition. VR_C2 was enriched for NRAS mutations and associated with distinctive transcriptional suppression of HOX expression. VR_C3 was characterized by enrichment for TP53 mutations and higher infiltration by cytotoxic T cells. This cluster showed transcriptional expression of erythroid markers, suggesting tumor cells mimicking erythroid differentiation, activation of JAK-STAT signaling, and sensitivity to JAK inhibition, which in a subset of cases synergized with venetoclax. VR_C4 shared transcriptional similarities with venetoclax-sensitive patients, with modest over-expression of interferon signaling. They were also characterized by high rates of DNMT3A mutations. Finally, we projected venetoclax-resistance states onto single cells profiled from a patient who relapsed under venetoclax therapy capturing multiple resistance states in the tumor and shifts in their abundance under venetoclax selection, suggesting that single tumors may consist of cells mimicking multiple VR_Cs contributing to intra-tumor heterogeneity. Taken together, our results provide a strategy to evaluate inter- and intra-tumor heterogeneity of venetoclax resistance mechanisms and provide insights into approaches to navigate further management of patients who failed therapy with BCL2 inhibitors.
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Affiliation(s)
- Vakul Mohanty
- Department of Bioinformatics and Computational biology, The University of Texas MD Anderson Cancer Center
| | - Natalia Baran
- Department of Leukemia, The University of Texas MD Anderson Cancer Center
| | - Yuefan Huang
- Department of Bioinformatics and Computational biology, The University of Texas MD Anderson Cancer Center
| | - Cassandra L Ramage
- Department of Leukemia, The University of Texas MD Anderson Cancer Center
| | - Laurie M Cooper
- Department of Leukemia, The University of Texas MD Anderson Cancer Center
| | - Shan He
- Department of Bioinformatics and Computational biology, The University of Texas MD Anderson Cancer Center
| | - Ramiz Iqbal
- Department of Bioinformatics and Computational biology, The University of Texas MD Anderson Cancer Center
| | - May Daher
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center
| | - Jeffrey W Tyner
- Department of Cell, Developmental & Cancer Biology, Knight Cancer Institute, Oregon Health & Science University
| | - Gordon B Mills
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University
| | - Marina Konopleva
- Department of Medicine (Oncology) and Molecular Pharmacology, Albert Einstein College of Medicine
| | - Ken Chen
- Department of Bioinformatics and Computational biology, The University of Texas MD Anderson Cancer Center
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31
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Liu J, Jiang P, Lu Z, Yu Z, Qian P. Decoding leukemia at the single-cell level: clonal architecture, classification, microenvironment, and drug resistance. Exp Hematol Oncol 2024; 13:12. [PMID: 38291542 PMCID: PMC10826069 DOI: 10.1186/s40164-024-00479-6] [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: 11/02/2023] [Accepted: 01/16/2024] [Indexed: 02/01/2024] Open
Abstract
Leukemias are refractory hematological malignancies, characterized by marked intrinsic heterogeneity which poses significant obstacles to effective treatment. However, traditional bulk sequencing techniques have not been able to effectively unravel the heterogeneity among individual tumor cells. With the emergence of single-cell sequencing technology, it has bestowed upon us an unprecedented resolution to comprehend the mechanisms underlying leukemogenesis and drug resistance across various levels, including the genome, epigenome, transcriptome and proteome. Here, we provide an overview of the currently prevalent single-cell sequencing technologies and a detailed summary of single-cell studies conducted on leukemia, with a specific focus on four key aspects: (1) leukemia's clonal architecture, (2) frameworks to determine leukemia subtypes, (3) tumor microenvironment (TME) and (4) the drug-resistant mechanisms of leukemia. This review provides a comprehensive summary of current single-cell studies on leukemia and highlights the markers and mechanisms that show promising clinical implications for the diagnosis and treatment of leukemia.
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Affiliation(s)
- Jianche Liu
- Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China
- Liangzhu Laboratory, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- International Campus, Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Zhejiang University, 718 East Haizhou Road, Haining, 314400, China
| | - Penglei Jiang
- Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China
- Liangzhu Laboratory, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- Institute of Hematology, Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Zhejiang University, Hangzhou, 310058, China
| | - Zezhen Lu
- Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China
- Liangzhu Laboratory, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- International Campus, Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Zhejiang University, 718 East Haizhou Road, Haining, 314400, China
| | - Zebin Yu
- Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China
- Liangzhu Laboratory, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- Institute of Hematology, Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Zhejiang University, Hangzhou, 310058, China
| | - Pengxu Qian
- Center for Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
- Liangzhu Laboratory, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China.
- Institute of Hematology, Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Zhejiang University, Hangzhou, 310058, China.
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32
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Pino JC, Posso C, Joshi SK, Nestor M, Moon J, Hansen JR, Hutchinson-Bunch C, Gritsenko MA, Weitz KK, Watanabe-Smith K, Long N, McDermott JE, Druker BJ, Liu T, Tyner JW, Agarwal A, Traer E, Piehowski PD, Tognon CE, Rodland KD, Gosline SJC. Mapping the proteogenomic landscape enables prediction of drug response in acute myeloid leukemia. Cell Rep Med 2024; 5:101359. [PMID: 38232702 PMCID: PMC10829797 DOI: 10.1016/j.xcrm.2023.101359] [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: 05/25/2023] [Revised: 10/20/2023] [Accepted: 12/10/2023] [Indexed: 01/19/2024]
Abstract
Acute myeloid leukemia is a poor-prognosis cancer commonly stratified by genetic aberrations, but these mutations are often heterogeneous and fail to consistently predict therapeutic response. Here, we combine transcriptomic, proteomic, and phosphoproteomic datasets with ex vivo drug sensitivity data to help understand the underlying pathophysiology of AML beyond mutations. We measure the proteome and phosphoproteome of 210 patients and combine them with genomic and transcriptomic measurements to identify four proteogenomic subtypes that complement existing genetic subtypes. We build a predictor to classify samples into subtypes and map them to a "landscape" that identifies specific drug response patterns. We then build a drug response prediction model to identify drugs that target distinct subtypes and validate our findings on cell lines representing various stages of quizartinib resistance. Our results show how multiomics data together with drug sensitivity data can inform therapy stratification and drug combinations in AML.
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Affiliation(s)
- James C Pino
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Camilo Posso
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Sunil K Joshi
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Michael Nestor
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jamie Moon
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Joshua R Hansen
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Chelsea Hutchinson-Bunch
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Marina A Gritsenko
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Karl K Weitz
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Kevin Watanabe-Smith
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
| | - Nicola Long
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
| | - Jason E McDermott
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA; Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR, USA
| | - Brian J Druker
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA; Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
| | - Tao Liu
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - Anupriya Agarwal
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA; Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - Elie Traer
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Paul D Piehowski
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Cristina E Tognon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA; Division of Hematology & Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Karin D Rodland
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA.
| | - Sara J C Gosline
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
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O'Brien G, Cecotka A, Manola KN, Pagoni MN, Polanska J, Badie C. Epigenetic signature of ionizing radiation in therapy-related AML patients. Heliyon 2024; 10:e23244. [PMID: 38163095 PMCID: PMC10757008 DOI: 10.1016/j.heliyon.2023.e23244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/26/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024] Open
Abstract
Therapy-related acute myeloid leukaemia (t-AML) is a late side effect of previous chemotherapy (ct-AML) and/or radiotherapy (rt-AML) or immunosuppressive treatment. t-AMLs, which account for ∼10-20 % of all AML cases, are extremely aggressive and have a poor prognosis compared to de novo AML. Our hypothesis is that exposure to radiation causes genome-wide epigenetic changes in rt-AML. An epigenome-wide association study was undertaken, measuring over 850K methylation sites across the genome from fifteen donors (five healthy, five de novo, and five t-AMLs). The study predominantly focussed on 94K sites that lie in CpG-rich gene promoter regions. Genome-wide hypomethylation was discovered in AML, primarily in intergenic regions. Additionally, genes specific to AML were identified with promoter hypermethylation. A two-step validation was conducted, both internally, using pyrosequencing to measure methylation levels in specific regions across fifteen primary samples, and externally, with an additional eight AML samples. We demonstrated that the MEST and GATA5 gene promoters, which were previously identified as tumour suppressors, were noticeably hypermethylated in rt-AML, as opposed to other subtypes of AML and control samples. These may indicate the epigenetic involvement in the development of rt-AML at the molecular level and could serve as potential targets for drug therapy in rt-AML.
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Affiliation(s)
- Gráinne O'Brien
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department Radiation, Chemical & Environmental Hazards, Harwell Campus, Chilton, Didcot, Oxfordshire OX11 ORQ, UK Health Security Agency (UKHSA), United Kingdom
| | - Agnieszka Cecotka
- Department of Data Science and Engineering, Silesian University of Technology, 44-121 Gliwice, Poland
| | - Kalliopi N. Manola
- Department of Biodiagnostic Sciences and Technologies, INRASTES, National Centre for Research' Demokritos', 15341 Agia Paraskevi, Greece
| | - Maria N. Pagoni
- Hematology-Lymphomas Department - BMT Unit, Evangelismos Hospital, 10676 Athens, Greece
| | - Joanna Polanska
- Department of Data Science and Engineering, Silesian University of Technology, 44-121 Gliwice, Poland
| | - Christophe Badie
- Cancer Mechanisms and Biomarkers Group, Radiation Effects Department Radiation, Chemical & Environmental Hazards, Harwell Campus, Chilton, Didcot, Oxfordshire OX11 ORQ, UK Health Security Agency (UKHSA), United Kingdom
- Environmental Research Group Within the School of Public Health, Faculty of Medicine at Imperial College of Science, Technology and Medicine, London W12 0BZ, United Kingdom
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34
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Dembitz V, Durko J, Campos J, James SC, Lawson H, Kranc KR, Gallipoli P. Immunodeficient NBSGW mouse strain allows chemotherapy modeling in AML patient-derived xenografts. Hemasphere 2024; 8:e28. [PMID: 38434525 PMCID: PMC10878184 DOI: 10.1002/hem3.28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/24/2023] [Indexed: 03/05/2024] Open
Affiliation(s)
- Vilma Dembitz
- Centre for Haemato-Oncology, Barts Cancer Institute Queen Mary University of London London UK
- Present address: Department of Physiology and Croatian Institute for Brain Research University of Zagreb School of Medicine Zagreb Croatia
| | - Jozef Durko
- Centre for Haemato-Oncology, Barts Cancer Institute Queen Mary University of London London UK
| | - Joana Campos
- Centre for Haemato-Oncology, Barts Cancer Institute Queen Mary University of London London UK
| | - Sophie C James
- Centre for Haemato-Oncology, Barts Cancer Institute Queen Mary University of London London UK
| | - Hannah Lawson
- Centre for Haemato-Oncology, Barts Cancer Institute Queen Mary University of London London UK
| | - Kamil R Kranc
- Centre for Haemato-Oncology, Barts Cancer Institute Queen Mary University of London London UK
- The Institute of Cancer Research London UK
| | - Paolo Gallipoli
- Centre for Haemato-Oncology, Barts Cancer Institute Queen Mary University of London London UK
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35
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Calderon A, Han C, Karma S, Wang E. Non-genetic mechanisms of drug resistance in acute leukemias. Trends Cancer 2024; 10:38-51. [PMID: 37839973 DOI: 10.1016/j.trecan.2023.09.003] [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: 06/20/2023] [Revised: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 10/17/2023]
Abstract
Acute leukemia is characterized by clonal heterogeneity that contributes to poor drug responses in patients. Despite treatment advances, the occurrence of relapse remains a major barrier to achieving cures as current therapeutic approaches are inadequate to effectively prevent or overcome resistance. Given that only a few genetic mutations are associated with relapse in acute leukemia patients, there is a growing focus on 'non-genetic' mechanisms that affect the hallmarks of cancer to allow leukemic cells to survive post therapy. In this review, we provide an overview of the therapeutic landscape in acute leukemias. Importantly, we discuss non-genetic mechanisms exploited by leukemic cells to promote their survival after treatment. Last, we present current strategies to prevent or overcome drug resistance in this disease.
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Affiliation(s)
| | - Cuijuan Han
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Sadik Karma
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA; Graduate Program in Genetics and Development, UConn Health, Farmington, CT, USA
| | - Eric Wang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA; Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA; Institute for Systems Genomics, University of Connecticut Health Center, Farmington, CT, USA.
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36
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Zeng AGX, Iacobucci I, Shah S, Mitchell A, Wong G, Bansal S, Gao Q, Kim H, Kennedy JA, Minden MD, Haferlach T, Mullighan CG, Dick JE. Precise single-cell transcriptomic mapping of normal and leukemic cell states reveals unconventional lineage priming in acute myeloid leukemia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.26.573390. [PMID: 38234771 PMCID: PMC10793439 DOI: 10.1101/2023.12.26.573390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Initial classification of acute leukemia involves the assignment of blasts to cell states within the hematopoietic hierarchy based on morphological and immunophenotypic features. Yet, these traditional classification approaches lack precision, especially at the level of immature blasts. Single-cell RNA-sequencing (scRNA-seq) enables precise determination of cell state using thousands of markers, thus providing an opportunity to re-examine present-day classification schemes of acute leukemia. Here, we developed a detailed reference map of human bone marrow hematopoiesis from 263,519 single-cell transcriptomes spanning 55 cellular states. Cell state annotations were benchmarked against purified cell populations, and in-depth characterization of gene expression programs underlying hematopoietic differentiation was undertaken. Projection of single-cell transcriptomes from 175 samples spanning acute myeloid leukemia (AML), mixed phenotype acute leukemia (MPAL), and acute erythroid leukemia (AEL) revealed 11 subtypes involving distinct stages of hematopoietic differentiation. These included AML subtypes with notable lymphoid or erythroid lineage priming, challenging traditional diagnostic boundaries between AML, MPAL, and AEL. Quantification of lineage priming in bulk patient cohorts revealed specific genetic alterations associated with this unconventional lineage priming. Integration of transcriptional and genetic information at the single-cell level revealed how genetic subclones can induce lineage restriction, differentiation blocks, or expansion of mature myeloid cells. Furthermore, we demonstrate that distinct cellular hierarchies can co-exist within individual patients, providing insight into AML evolution in response to varying selection pressures. Together, precise mapping of hematopoietic cell states can serve as a foundation for refining disease classification in acute leukemia and understanding response or resistance to emerging therapies.
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Affiliation(s)
- Andy G X Zeng
- Princess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto; Toronto, ON, Canada
| | - Ilaria Iacobucci
- Department of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Sayyam Shah
- Princess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada
| | - Amanda Mitchell
- Princess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada
| | - Gordon Wong
- Princess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto; Toronto, ON, Canada
| | - Suraj Bansal
- Princess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada
| | - Qingsong Gao
- Department of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Hyerin Kim
- Princess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto; Toronto, ON, Canada
| | - James A Kennedy
- Division of Medical Oncology and Hematology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Mark D Minden
- Princess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, University Health Network, Toronto, ON, Canada
| | | | - Charles G Mullighan
- Department of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA
- Center of Excellence for Leukemia Studies, St. Jude Children's Research Hospital, Memphis, TN
| | - John E Dick
- Princess Margaret Cancer Centre, University Health Network; Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto; Toronto, ON, Canada
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37
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Andersen AN, Brodersen AM, Ayuda-Durán P, Piechaczyk L, Tadele DS, Baken L, Fredriksen J, Stoksflod M, Lenartova A, Fløisand Y, Skånland SS, Enserink JM. Clinical forecasting of acute myeloid leukemia using ex vivo drug-sensitivity profiling. CELL REPORTS METHODS 2023; 3:100654. [PMID: 38065095 PMCID: PMC10753296 DOI: 10.1016/j.crmeth.2023.100654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 09/16/2023] [Accepted: 11/09/2023] [Indexed: 12/21/2023]
Abstract
Current treatment selection for acute myeloid leukemia (AML) patients depends on risk stratification based on cytogenetic and genomic markers. However, the forecasting accuracy of treatment response remains modest, with most patients receiving intensive chemotherapy. Recently, ex vivo drug screening has gained traction in personalized treatment selection and as a tool for mapping patient groups based on relevant cancer dependencies. Here, we systematically evaluated the use of drug sensitivity profiling for predicting patient survival and clinical response to chemotherapy in a cohort of AML patients. We compared computational methodologies for scoring drug efficacy and characterized tools to counter noise and batch-related confounders pervasive in high-throughput drug testing. We show that ex vivo drug sensitivity profiling is a robust and versatile approach to patient prognostics that comprehensively maps functional signatures of treatment response and disease progression. In conclusion, ex vivo drug profiling can assess risk for individual AML patients and may guide clinical decision-making.
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Affiliation(s)
- Aram N Andersen
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway; Section for Biochemistry and Molecular Biology, Faculty of Mathematics and Natural Sciences, University of Oslo, Blindernveien 31, 0371 Oslo, Norway.
| | - Andrea M Brodersen
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway; Section for Biochemistry and Molecular Biology, Faculty of Mathematics and Natural Sciences, University of Oslo, Blindernveien 31, 0371 Oslo, Norway
| | - Pilar Ayuda-Durán
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Laure Piechaczyk
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Dagim Shiferaw Tadele
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Lizet Baken
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Julia Fredriksen
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway; Department of Haematology, Oslo University Hospital, 0372 Oslo, Norway
| | - Mia Stoksflod
- Department of Haematology, Oslo University Hospital, 0372 Oslo, Norway
| | - Andrea Lenartova
- Department of Haematology, Oslo University Hospital, 0372 Oslo, Norway
| | - Yngvar Fløisand
- Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Sigrid S Skånland
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; K.G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, 0372 Oslo, Norway
| | - Jorrit M Enserink
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway; Section for Biochemistry and Molecular Biology, Faculty of Mathematics and Natural Sciences, University of Oslo, Blindernveien 31, 0371 Oslo, Norway.
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38
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Lambo S, Trinh DL, Ries RE, Jin D, Setiadi A, Ng M, Leblanc VG, Loken MR, Brodersen LE, Dai F, Pardo LM, Ma X, Vercauteren SM, Meshinchi S, Marra MA. A longitudinal single-cell atlas of treatment response in pediatric AML. Cancer Cell 2023; 41:2117-2135.e12. [PMID: 37977148 DOI: 10.1016/j.ccell.2023.10.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 09/15/2023] [Accepted: 10/26/2023] [Indexed: 11/19/2023]
Abstract
Pediatric acute myeloid leukemia (pAML) is characterized by heterogeneous cellular composition, driver alterations and prognosis. Characterization of this heterogeneity and how it affects treatment response remains understudied in pediatric patients. We used single-cell RNA sequencing and single-cell ATAC sequencing to profile 28 patients representing different pAML subtypes at diagnosis, remission and relapse. At diagnosis, cellular composition differed between genetic subgroups. Upon relapse, cellular hierarchies transitioned toward a more primitive state regardless of subtype. Primitive cells in the relapsed tumor were distinct compared to cells at diagnosis, with under-representation of myeloid transcriptional programs and over-representation of other lineage programs. In some patients, this was accompanied by the appearance of a B-lymphoid-like hierarchy. Our data thus reveal the emergence of apparent subtype-specific plasticity upon treatment and inform on potentially targetable processes.
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Affiliation(s)
- Sander Lambo
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Diane L Trinh
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Rhonda E Ries
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Dan Jin
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Audi Setiadi
- British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Pathology & Laboratory Medicine, Division of Hematopathology, Children's and Women's Health Centre of British Columbia, Vancouver, BC, Canada; Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Michelle Ng
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada; Department of Medical Genetics and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
| | - Veronique G Leblanc
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | | | | | - Fangyan Dai
- Hematologics, Incorporated, Seattle, WA, USA
| | | | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Suzanne M Vercauteren
- British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Pathology & Laboratory Medicine, Division of Hematopathology, Children's and Women's Health Centre of British Columbia, Vancouver, BC, Canada; Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Soheil Meshinchi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Marco A Marra
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada; Department of Medical Genetics and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
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39
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Iacobucci I, Zeng AGX, Gao Q, Garcia-Prat L, Baviskar P, Shah S, Murison A, Voisin V, Chan-Seng-Yue M, Cheng C, Qu C, Bailey C, Lear M, Witkowski MT, Zhou X, Peraza AZ, Gangwani K, Advani AS, Luger SM, Litzow MR, Rowe JM, Paietta EM, Stock W, Dick JE, Mullighan CG. SINGLE CELL DISSECTION OF DEVELOPMENTAL ORIGINS AND TRANSCRIPTIONAL HETEROGENEITY IN B-CELL ACUTE LYMPHOBLASTIC LEUKEMIA. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.04.569954. [PMID: 38106088 PMCID: PMC10723356 DOI: 10.1101/2023.12.04.569954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Sequencing of bulk tumor populations has improved genetic classification and risk assessment of B-ALL, but does not directly examine intratumor heterogeneity or infer leukemia cellular origins. We profiled 89 B-ALL samples by single-cell RNA-seq (scRNA-seq) and compared them to a reference map of normal human B-cell development established using both functional and molecular assays. Intra-sample heterogeneity was driven by cell cycle, metabolism, differentiation, and inflammation transcriptional programs. By inference of B lineage developmental state composition, nearly all samples possessed a high abundance of pro-B cells, with variation between samples mainly driven by sub-populations. However, ZNF384- r and DUX4- r B-ALL showed composition enrichment of hematopoietic stem cells, BCR::ABL1 and KMT2A -r ALL of Early Lymphoid progenitors, MEF2D -r and TCF3::PBX1 of Pre-B cells. Enrichment of Early Lymphoid progenitors correlated with high-risk clinical features. Understanding variation in transcriptional programs and developmental states of B-ALL by scRNA-seq refines existing clinical and genomic classifications and improves prediction of treatment outcome.
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40
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Marone R, Landmann E, Devaux A, Lepore R, Seyres D, Zuin J, Burgold T, Engdahl C, Capoferri G, Dell’Aglio A, Larrue C, Simonetta F, Rositzka J, Rhiel M, Andrieux G, Gallagher DN, Schröder MS, Wiederkehr A, Sinopoli A, Do Sacramento V, Haydn A, Garcia-Prat L, Divsalar C, Camus A, Xu L, Bordoli L, Schwede T, Porteus M, Tamburini J, Corn JE, Cathomen T, Cornu TI, Urlinger S, Jeker LT. Epitope-engineered human hematopoietic stem cells are shielded from CD123-targeted immunotherapy. J Exp Med 2023; 220:e20231235. [PMID: 37773046 PMCID: PMC10541312 DOI: 10.1084/jem.20231235] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/01/2023] [Accepted: 09/08/2023] [Indexed: 09/30/2023] Open
Abstract
Targeted eradication of transformed or otherwise dysregulated cells using monoclonal antibodies (mAb), antibody-drug conjugates (ADC), T cell engagers (TCE), or chimeric antigen receptor (CAR) cells is very effective for hematologic diseases. Unlike the breakthrough progress achieved for B cell malignancies, there is a pressing need to find suitable antigens for myeloid malignancies. CD123, the interleukin-3 (IL-3) receptor alpha-chain, is highly expressed in various hematological malignancies, including acute myeloid leukemia (AML). However, shared CD123 expression on healthy hematopoietic stem and progenitor cells (HSPCs) bears the risk for myelotoxicity. We demonstrate that epitope-engineered HSPCs were shielded from CD123-targeted immunotherapy but remained functional, while CD123-deficient HSPCs displayed a competitive disadvantage. Transplantation of genome-edited HSPCs could enable tumor-selective targeted immunotherapy while rebuilding a fully functional hematopoietic system. We envision that this approach is broadly applicable to other targets and cells, could render hitherto undruggable targets accessible to immunotherapy, and will allow continued posttransplant therapy, for instance, to treat minimal residual disease (MRD).
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Affiliation(s)
- Romina Marone
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
| | - Emmanuelle Landmann
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
| | - Anna Devaux
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
| | - Rosalba Lepore
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
- Cimeio Therapeutics AG, Basel, Switzerland
- Ridgeline Discovery GmbH, Basel, Switzerland
| | - Denis Seyres
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
| | - Jessica Zuin
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
| | - Thomas Burgold
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
| | - Corinne Engdahl
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
| | - Giuseppina Capoferri
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
| | - Alessandro Dell’Aglio
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
| | - Clément Larrue
- Translational Research Centre in Onco-Hematology, Faculty of Medicine, University of Geneva, and Swiss Cancer Center Leman, Geneva, Switzerland
| | - Federico Simonetta
- Division of Hematology, Department of Oncology, Geneva University Hospitals, Geneva, Switzerland
- Department of Medicine, Translational Research Center for Onco-Hematology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Julia Rositzka
- Institute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Manuel Rhiel
- Institute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Geoffroy Andrieux
- Institute of Medical Bioinformatics and Systems Medicine, Medical Center-University of Freiburg, Freiburg, Germany
| | - Danielle N. Gallagher
- Department of Biology, Institute of Molecular Health Sciences, ETH Zürich, Zürich, Switzerland
| | - Markus S. Schröder
- Department of Biology, Institute of Molecular Health Sciences, ETH Zürich, Zürich, Switzerland
| | | | | | | | - Anna Haydn
- Ridgeline Discovery GmbH, Basel, Switzerland
| | | | | | - Anna Camus
- Cimeio Therapeutics AG, Basel, Switzerland
| | - Liwen Xu
- Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Lorenza Bordoli
- Biozentrum, University of Basel, Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Torsten Schwede
- Biozentrum, University of Basel, Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Matthew Porteus
- Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Jérôme Tamburini
- Department of Medicine, Translational Research Center for Onco-Hematology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Jacob E. Corn
- Department of Biology, Institute of Molecular Health Sciences, ETH Zürich, Zürich, Switzerland
| | - Toni Cathomen
- Institute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Tatjana I. Cornu
- Institute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stefanie Urlinger
- Cimeio Therapeutics AG, Basel, Switzerland
- Ridgeline Discovery GmbH, Basel, Switzerland
| | - Lukas T. Jeker
- Department of Biomedicine, Basel University Hospital and University of Basel, Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, Basel, Switzerland
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41
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Volta L, Manz MG. Twisted: Escape of epitope-edited healthy cells from immune attack. J Exp Med 2023; 220:e20231635. [PMID: 37819374 PMCID: PMC10565509 DOI: 10.1084/jem.20231635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023] Open
Abstract
Hematopoietic stem and progenitor cell-derived neoplasia is challenging to target by cell surface-directed immunotherapy due to lack of tumor cell-specific antigen identification. Marone et al. (2023. J. Exp. Med.https://doi.org/10.1084/jem.20231235) provide a solution by target-epitope resistance editing in healthy hematopoietic stem cells.
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Affiliation(s)
- Laura Volta
- Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Markus G. Manz
- Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Comprehensive Cancer Center Zurich, Zurich, Switzerland
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42
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Shen X, Dong P, Kong J, Sun N, Wang F, Sang L, Xu Y, Zhang M, Chen X, Guo R, Wang S, Lin Q, Jiang Z, Xu S, Zhang C, Bian Z, Wang W, Guo R. Targeted single-cell RNA sequencing analysis reveals metabolic reprogramming and the ferroptosis-resistant state in hematologic malignancies. Cell Biochem Funct 2023; 41:1343-1356. [PMID: 37823726 DOI: 10.1002/cbf.3869] [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: 07/11/2023] [Revised: 09/26/2023] [Accepted: 09/29/2023] [Indexed: 10/13/2023]
Abstract
Hematologic malignancies are the most common hematopoietic diseases and a major public health concern. However, the mechanisms underlying myeloid tumors remain unknown owing to the intricate interplay between mutations and diverse clonal evolution patterns, as evidenced by the analysis of bulk cell-derived omics data. Several single-cell omics techniques have been used to characterize the hierarchies and altered immune microenvironments of hematologic malignancies. The comprehensive single-cell atlas of hematologic malignancies provides novel opportunities for personalized combinatorial targeted treatments, avoiding unwanted chemo-toxicity. In the present study, we performed transcriptome sequencing by combining single-cell RNA sequencing (scRNA-seq) with a targeted oncogenic gene panel for acute myeloid leukemia, overcoming the limitations of scRNA-seq in detecting oncogenic mutations. The distribution of oncogenic IDH1, IDH2, and KRAS mutations in each cell type was identified in the bone marrow (BM) samples of each patient. Our findings suggest that ferroptosis and metabolic reprogramming are involved in the tumorigenesis and chemotherapy resistance of oncogenic mutation-carrying cells. Biological progression via IDH1, IDH2, and KRAS mutations arrests hematopoietic maturation. Our study findings provide a rationale for using primary BM cells for personalized treatment in clinical settings.
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Affiliation(s)
- Xiaohui Shen
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Peiyuan Dong
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jingjing Kong
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Nannan Sun
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Fang Wang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lina Sang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yan Xu
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Mengmeng Zhang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoli Chen
- Jiangxi Health Commission Key Laboratory of Leukemia, Ganzhou Hospital-Nanfang Hospital, Southern Medical University, Ganzhou, Jiangxi, China
| | - Rong Guo
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shuya Wang
- Department of Blood Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Quande Lin
- Department of Hematology, The Afliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Zhongxing Jiang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shan Xu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Congli Zhang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zhilei Bian
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Weimin Wang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Rongqun Guo
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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43
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Ding Y, Qi X, Li Y, Sun Y, Wan J, Luo C, Huang Y, Li Q, Wu G, Zhu X, Xu S. Albumin-to-fibrinogen ratio is an independent prognostic parameter in de novo non-M3 acute myeloid leukemia. Clin Exp Med 2023; 23:4597-4608. [PMID: 37914966 DOI: 10.1007/s10238-023-01241-8] [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: 02/21/2023] [Accepted: 10/26/2023] [Indexed: 11/03/2023]
Abstract
Inflammation and nutrition related proteins participate in the development of acute myeloid leukemia (AML). It has been reported that the albumin-to-fibrinogen ratio (AFR) could serve as a prognostic indicator in patients with malignancy, but the precise relevance of AML is unclear. This study aimed to evaluate the effect of AFR on survival prognosis in patients with AML. We analyzed 227 patients newly diagnosed with non-M3 AML. AFR was calculated as albumin divided by fibrinogen. Based on the cutoff point from X-tile program, patients were divided into AFR-high (38.8%) and AFR-low (61.2%) groups. AFR-low group showed a poorer complete remission rate (P < 0.001) and median time to relapse (P = 0.026), while the mortality was higher (P = 0.009) than AFR-high ones. According to the log-rank test, AFR-low group had shorter OS (P < 0.001) and DFS (P = 0.034). Multivariate analysis identified AFR, ELN risk, bone marrow transplant, and hemoglobin as independent prognostic variables associated with OS. A visualized nomogram for predicting OS was performed. The C-index (0.75), calibration plots, and decision curve analyses of new model showed better discrimination, calibration, and net benefits than the ELN risk model. The time-dependent receiver operating characteristic (ROC) curve of 1-, 2-, and 3-year also functioned well (AUC, 0.81, 0.93 and 0.90, respectively). Our study provided a comprehensive view of AFR which could be an independent prognostic indicator in AML patients. The prognostic model utilized readily available information from ordinary clinical practice to improve predictive performance, identify risks, and assist in therapeutic decision-making.
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Affiliation(s)
- Yaqun Ding
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Xiangyu Qi
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Yang Li
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Yanni Sun
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Jia Wan
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Chengxin Luo
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Yarui Huang
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Qingrong Li
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Guixian Wu
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Xiaoqing Zhu
- Chongqing Medical and Pharmaceutical College, Chongqing, China
- Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China
| | - Shuangnian Xu
- Center for Hematology, Southwest Hospital, Army Medical University, Third Military Medical University), Chongqing, China.
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44
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Agrawal‐Singh S, Bagri J, Sakakini N, Huntly BJP. A guide to epigenetics in leukaemia stem cells. Mol Oncol 2023; 17:2493-2506. [PMID: 37872885 PMCID: PMC10701772 DOI: 10.1002/1878-0261.13544] [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: 04/19/2023] [Revised: 08/11/2023] [Accepted: 10/20/2023] [Indexed: 10/25/2023] Open
Abstract
Leukaemia stem cells (LSCs) are the critical seed for the growth of haematological malignancies, driving the clonal expansion that enables disease initiation, relapse and often resistance. Specifically, they display inherent phenotypic and epigenetic plasticity resulting in complex heterogenic diseases. In this review, we discuss the key principles of deregulation of epigenetic processes that shape this disease evolution. We consider measures to define and quantify clonal heterogeneity, combining information from recent studies assessing mutational, transcriptional and epigenetic landscapes at single cell resolution in myeloid neoplasms (MN). We highlight the importance of integrating epigenetic and genetic information to better understand inter- and intra-patient heterogeneity and discuss how this understanding further informs evolution and progression trajectories and subsequent clinical response in MN. Under this topic, we also discuss efforts to identify mechanisms of resistance, by longitudinal analyses of patient samples. Finally, we highlight how we might target these aberrant epigenetic processes for better therapeutic outcomes and to potentially eradicate LSCs.
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Affiliation(s)
- Shuchi Agrawal‐Singh
- Department of Haematology, Jeffrey Cheah Biomedical CentreUniversity of CambridgeUK
- Cambridge Stem Cell InstituteUniversity of CambridgeUK
| | - Jaana Bagri
- Department of Haematology, Jeffrey Cheah Biomedical CentreUniversity of CambridgeUK
- Cambridge Stem Cell InstituteUniversity of CambridgeUK
| | - Nathalie Sakakini
- Department of Haematology, Jeffrey Cheah Biomedical CentreUniversity of CambridgeUK
- Cambridge Stem Cell InstituteUniversity of CambridgeUK
| | - Brian J. P. Huntly
- Department of Haematology, Jeffrey Cheah Biomedical CentreUniversity of CambridgeUK
- Cambridge Stem Cell InstituteUniversity of CambridgeUK
- Haematology ServiceCambridge University HospitalsUK
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45
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Cummins K, Gill S. Chimeric Antigen Receptor T Cells in Acute Myeloid Leukemia. Hematol Oncol Clin North Am 2023; 37:1125-1147. [PMID: 37442676 DOI: 10.1016/j.hoc.2023.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/15/2023]
Abstract
Up to 30% of patients with acute myeloid leukemia (AML) who undergo chimeric antigen receptor (CAR) T-cell therapy have evidence of response, although trials are highly heterogeneous. These responses are rarely deep or durable. CD123, CD33, and CLL-1 have emerged as the most common targets for CAR T cells in AML. CAR T cells against myeloid antigens cause myeloablation as well as cytokine release syndrome, although neurotoxicity is rarely seen. Future efforts should focus on AML-specific antigen discovery or engineering, and on further enhancing the activity of CAR T cells.
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Affiliation(s)
- Katherine Cummins
- Peter MacCallum Cancer Centre, University of Melbourne, 305 Grattan Street, Melbourne, VIC 3000, Australia
| | - Saar Gill
- Division of Hematology-Oncology, University of Pennsylvania Perelman School of Medicine, 8-101 Smilow Center for Translational Research, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA.
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46
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Nishida Y, Ishizawa J, Ayoub E, Montoya RH, Ostermann LB, Muftuoglu M, Ruvolo VR, Patsilevas T, Scruggs DA, Khazaei S, Mak PY, Tao W, Carter BZ, Boettcher S, Ebert BL, Daver NG, Konopleva M, Seki T, Kojima K, Andreeff M. Enhanced TP53 reactivation disrupts MYC transcriptional program and overcomes venetoclax resistance in acute myeloid leukemias. SCIENCE ADVANCES 2023; 9:eadh1436. [PMID: 38019903 PMCID: PMC10686564 DOI: 10.1126/sciadv.adh1436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 10/31/2023] [Indexed: 12/01/2023]
Abstract
The tumor suppressor TP53 is frequently inactivated in a mutation-independent manner in cancers and is reactivated by inhibiting its negative regulators. We here cotarget MDM2 and the nuclear exporter XPO1 to maximize transcriptional activity of p53. MDM2/XPO1 inhibition accumulated nuclear p53 and elicited a 25- to 60-fold increase of its transcriptional targets. TP53 regulates MYC, and MDM2/XPO1 inhibition disrupted the c-MYC-regulated transcriptome, resulting in the synergistic induction of apoptosis in acute myeloid leukemia (AML). Unexpectedly, venetoclax-resistant AMLs express high levels of c-MYC and are vulnerable to MDM2/XPO1 inhibition in vivo. However, AML cells persisting after MDM2/XPO1 inhibition exhibit a quiescence- and stress response-associated phenotype. Venetoclax overcomes that resistance, as shown by single-cell mass cytometry. The triple inhibition of MDM2, XPO1, and BCL2 was highly effective against venetoclax-resistant AML in vivo. Our results propose a novel, highly translatable therapeutic approach leveraging p53 reactivation to overcome nongenetic, stress-adapted venetoclax resistance.
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Affiliation(s)
- Yuki Nishida
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jo Ishizawa
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Edward Ayoub
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rafael Heinz Montoya
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lauren B. Ostermann
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Muharrem Muftuoglu
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Vivian R Ruvolo
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Tallie Patsilevas
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Darah A. Scruggs
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Shayaun Khazaei
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Po Yee Mak
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wenjing Tao
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Bing Z. Carter
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Steffen Boettcher
- Department of Medical Oncology and Haematology, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
- Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, The Broad Institute, Boston, MA 02115, USA
| | - Benjamin L. Ebert
- Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, The Broad Institute, Boston, MA 02115, USA
| | - Naval G. Daver
- Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Marina Konopleva
- Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Section of Leukemia Biology Research, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Kensuke Kojima
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Hematology, Kochi University, Nankoku, Kochi 783-8505, Japan
| | - Michael Andreeff
- Section of Molecular Hematology and Therapy, Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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47
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Schuster LC, Syed AP, Tirier SM, Steiger S, Seufert I, Becker H, Duque-Afonso J, Ma T, Ogawa S, Mallm JP, Lübbert M, Rippe K. Progenitor-like cell type of an MLL-EDC4 fusion in acute myeloid leukemia. Blood Adv 2023; 7:7079-7083. [PMID: 37820244 PMCID: PMC10694518 DOI: 10.1182/bloodadvances.2022009096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 09/24/2023] [Accepted: 09/29/2023] [Indexed: 10/13/2023] Open
Affiliation(s)
- Linda C. Schuster
- Division of Chromatin Networks, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Center for Quantitative Analysis of Molecular and Cellular Biosystems, Heidelberg University, Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Afzal P. Syed
- Division of Chromatin Networks, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Center for Quantitative Analysis of Molecular and Cellular Biosystems, Heidelberg University, Heidelberg, Germany
- Single Cell Open Lab, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stephan M. Tirier
- Division of Chromatin Networks, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Simon Steiger
- Division of Chromatin Networks, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Center for Quantitative Analysis of Molecular and Cellular Biosystems, Heidelberg University, Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Isabelle Seufert
- Division of Chromatin Networks, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Center for Quantitative Analysis of Molecular and Cellular Biosystems, Heidelberg University, Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Heiko Becker
- Department of Medicine I, University Freiburg Medical Center, Freiburg, Germany
| | - Jesus Duque-Afonso
- Department of Medicine I, University Freiburg Medical Center, Freiburg, Germany
| | - Tobias Ma
- Department of Medicine I, University Freiburg Medical Center, Freiburg, Germany
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Jan-Philipp Mallm
- Center for Quantitative Analysis of Molecular and Cellular Biosystems, Heidelberg University, Heidelberg, Germany
- Single Cell Open Lab, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael Lübbert
- Department of Medicine I, University Freiburg Medical Center, Freiburg, Germany
| | - Karsten Rippe
- Division of Chromatin Networks, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Center for Quantitative Analysis of Molecular and Cellular Biosystems, Heidelberg University, Heidelberg, Germany
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48
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Nagahata Y, Kawamoto H. Evolutionary reversion in tumorigenesis. Front Oncol 2023; 13:1282417. [PMID: 38023242 PMCID: PMC10662060 DOI: 10.3389/fonc.2023.1282417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
Cells forming malignant tumors are distinguished from those forming normal tissues based on several features: accelerated/dysregulated cell division, disruption of physiologic apoptosis, maturation/differentiation arrest, loss of polarity, and invasive potential. Among them, accelerated cell division and differentiation arrest make tumor cells similar to stem/progenitor cells, and this is why tumorigenesis is often regarded as developmental reversion. Here, in addition to developmental reversion, we propose another insight into tumorigenesis from a phylogeny viewpoint. Based on the finding that tumor cells also share some features with unicellular organisms, we propose that tumorigenesis can be regarded as "evolutionary reversion". Recent advances in sequencing technologies and the ability to identify gene homologous have made it possible to perform comprehensive cross-species transcriptome comparisons and, in our recent study, we found that leukemic cells resulting from a polycomb dysfunction transcriptionally resemble unicellular organisms. Analyzing tumorigenesis from the viewpoint of phylogeny should reveal new aspects of tumorigenesis in the near future, and contribute to overcoming malignant tumors by developing new therapies.
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Affiliation(s)
- Yosuke Nagahata
- Laboratory of Immunology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan
| | - Hiroshi Kawamoto
- Laboratory of Immunology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan
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49
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Wu T, Yu B, Gong W, Zhang J, Yu S, Tian Y, Zhao T, Li Z, Wang J, Bian J. Design and optimization of selective and potent CDK9 inhibitors with flavonoid scaffold for the treatment of acute myeloid leukemia. Eur J Med Chem 2023; 259:115711. [PMID: 37572539 DOI: 10.1016/j.ejmech.2023.115711] [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: 06/12/2023] [Revised: 08/03/2023] [Accepted: 08/03/2023] [Indexed: 08/14/2023]
Abstract
Acute myeloid leukemia (AML) is a prevalent hematological tumor associated with a high morbidity and mortality rate. CDK9, functioning as a pivotal transcriptional regulator, facilitates transcriptional elongation through phosphorylation of RNA polymerase II, which further governs the protein levels of Mcl-1 and c-Myc. Therefore, CDK9 has been considered as a promising therapeutic target for AML treatment. Here, we present the design, synthesis, and evaluation of CDK9 inhibitors bearing a flavonoid scaffold. Among them, compound 21a emerged as a highly selective CDK9 inhibitor (IC50 = 6.7 nM), exhibiting over 80-fold selectivity towards most other CDK family members and high kinase selectivity. In Mv4-11 cells, 21a effectively hindered cell proliferation (IC50 = 60 nM) and induced apoptosis by down-regulating Mcl-1 and c-Myc. Notably, 21a demonstrated significant inhibition of tumor growth in the Mv4-11 xenograft tumor model. These findings indicate that compound 21a holds promise as a potential candidate for treating AML.
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Affiliation(s)
- Tizhi Wu
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Bin Yu
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Weihong Gong
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Jing Zhang
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Sixian Yu
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Yucheng Tian
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Tengteng Zhao
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China
| | - Zhiyu Li
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China.
| | - Jubo Wang
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China.
| | - Jinlei Bian
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, PR China.
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50
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Galera P, Dilip D, Derkach A, Chan A, Zhang Y, Persuad S, Mishera T, Liu Y, Famulare C, Gao Q, Mata DA, Arcila M, Geyer MB, Stein E, Dogan A, Levine RL, Roshal M, Glass J, Xiao W. Acute myeloid leukemia with mixed phenotype is characterized by stemness transcriptomic signatures and limited lineage plasticity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.01.23297696. [PMID: 37961275 PMCID: PMC10635245 DOI: 10.1101/2023.11.01.23297696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Mixed phenotype (MP) in acute leukemias poses unique classification and management dilemmas and can be seen in entities other than de novo mixed phenotype acute leukemia (MPAL). Although WHO classification empirically recommends excluding AML with myelodysplasia related changes (AML-MRC) and therapy related AML (t-AML) with mixed phenotype (AML-MP) from MPAL, there is lack of studies investigating the clinical, genetic, and biologic features of AML-MP. We report the first cohort of AML-MRC and t-AML with MP integrating their clinical, immunophenotypic, genomic and transcriptomic features with comparison to MPAL and AML-MRC/t-AML without MP. Both AML cohorts with and without MP shared similar clinical features including adverse outcomes but were different from MPAL. The genomic landscape of AML-MP overlaps with AML without MP but differs from MPAL. AML-MP harbors more frequent RUNX1 mutations than AML without MP and MPAL. RUNX1 mutations did not impact the survival of patients with MPAL. Unsupervised hierarchal clustering based on immunophenotype identified biologically distinct clusters with phenotype/genotype correlation and outcome differences. Furthermore, transcriptomic analysis showed an enrichment for stemness signature in AML-MP and AML without MP as compared to MPAL. Lastly, MPAL but not AML-MP often switched to lymphoid only immunophenotype after treatment. Expression of transcription factors critical for lymphoid differentiation were upregulated only in MPAL, but not in AML-MP. Our study for the first time demonstrates that AML-MP clinically and biologically resembles its AML counterpart without MP and differs from MPAL, supporting the recommendation to exclude these patients from the diagnosis of MPAL. Future studies are needed to elucidate the molecular mechanism of mixed phenotype in AML. Key points AML-MP clinically and biologically resembles AML but differs from MPAL. AML-MP shows RUNX1 mutations, stemness signatures and limited lymphoid lineage plasticity.
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