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Le A, Wu Y, Liu W, Wu C, Hu P, Zou J, Kuang L. MiR-144-induced KLF2 inhibition and NF-kappaB/CXCR1 activation promote neutrophil extracellular trap-induced transfusion-related acute lung injury. J Cell Mol Med 2021; 25:6511-6523. [PMID: 34120407 PMCID: PMC8278117 DOI: 10.1111/jcmm.16650] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 04/01/2021] [Accepted: 04/28/2021] [Indexed: 12/14/2022] Open
Abstract
Transfusion‐related acute lung injury (TRALI) is a clinical syndrome which is associated with the formation of neutrophil extracellular trap (NET). Recent studies have demonstrated the roles of microRNAs (miRNAs) in the pathophysiological process of TRALI. Here, the study focused on the role of miR‐144 and the molecular mechanisms in NET‐induced TRALI. Up‐regulated miR‐144 and under‐expressed KLF2 were determined in patients with TRALI. In the mouse model of a two‐event TRALI induced by intraperitoneal injections with lipopolysaccharide and anti‐H‐2Kd mAb, we determined expression patterns of miR‐144, Krüppel‐like factor 2 (KLF2), chemokine (C‐X‐C motif) receptor 1 (CXCR1) and nuclear factor kappa‐B (NF‐kappaB) p65. The results confirmed that miR‐144 was highly expressed, while KLF2 was poorly expressed in mice with TRALI. Dual‐luciferase reporter gene assay identified that miR‐144 could target KLF2. Using gain‐ and loss‐of‐function approaches, we analysed the effects of miR‐144 and its interaction with KLF2 on TRALI. Enforced expression of miR‐144 was found to aggravate NET‐induced TRALI by down‐regulating KLF2 and activating the NF‐kappaB/CXCR1 signalling pathway in TRALI mice. Collectively, miR‐144‐targeted inhibition of KLF2 and activation of NF‐kappaB/CXCR1 are possible mechanisms responsible for NET‐caused TRALI. These findings aid in the development of therapeutic modalities for the treatment of TRALI.
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Affiliation(s)
- Aiping Le
- Departments of Blood Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yize Wu
- Departments of Blood Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wei Liu
- Departments of Blood Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Chenggao Wu
- Departments of Blood Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Piaoping Hu
- Departments of Blood Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Juan Zou
- Departments of Blood Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Linju Kuang
- Departments of Blood Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang, China
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4
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D'Agostino M, Raje N. Anti-BCMA CAR T-cell therapy in multiple myeloma: can we do better? Leukemia 2019; 34:21-34. [PMID: 31780814 DOI: 10.1038/s41375-019-0669-4] [Citation(s) in RCA: 100] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 10/27/2019] [Accepted: 11/13/2019] [Indexed: 12/17/2022]
Abstract
Despite a substantial survival improvement and the availability of many new drugs in the last 2 decades, multiple myeloma (MM) remains largely incurable. Immunotherapeutic approaches are changing the current landscape in MM with B-cell maturation antigen (BCMA) as one of the most promising target antigens. Chimeric antigen receptor (CAR) T-cell therapy targeting BCMA produced unprecedented results in heavily pretreated relapsed and/or refractory MM. Data on more than 300 MM patients treated with anti-BCMA directed CAR T cells are available and these numbers are rapidly increasing. The response rate and the depth of responses induced by anti-BCMA CAR T cells are impressive; however, the majority of patients eventually relapse. Understanding the underlying mechanisms of response and resistance in treated MM patients will be critical to the rational development of this therapy. Moreover, the ideal place of this therapy in the treatment paradigm for MM is an important question that needs biological and clinical correlative data to help elucidate. T-cell-related, tumor-related and microenvironmental factors may play a role in the efficacy of anti-BCMA CAR T-cell therapy. In this review we summarize key clinical and correlative data on anti-BCMA CAR T-cell therapy. Based on available data we will try to highlight opportunities to further optimize this potential game-changing therapy for MM.
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Affiliation(s)
- Mattia D'Agostino
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.,Center for Multiple Myeloma, Division of Hematology and Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Noopur Raje
- Center for Multiple Myeloma, Division of Hematology and Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
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5
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Gaiti F, Chaligne R, Gu H, Brand RM, Kothen-Hill S, Schulman R, Grigorev K, Risso D, Kim KT, Pastore A, Huang KY, Alonso A, Sheridan C, Omans ND, Biederstedt E, Clement K, Wang L, Felsenfeld JA, Bhavsar EB, Aryee MJ, Allan JN, Furman R, Gnirke A, Wu CJ, Meissner A, Landau DA. Epigenetic evolution and lineage histories of chronic lymphocytic leukaemia. Nature 2019; 569:576-580. [PMID: 31092926 PMCID: PMC6533116 DOI: 10.1038/s41586-019-1198-z] [Citation(s) in RCA: 167] [Impact Index Per Article: 33.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 04/12/2019] [Indexed: 11/22/2022]
Abstract
Genetic and epigenetic intra-tumoral heterogeneity cooperate to shape the evolutionary course of cancer1. Chronic lymphocytic leukaemia (CLL) is a highly informative model for cancer evolution as it undergoes substantial genetic diversification and evolution after therapy2,3. The CLL epigenome is also an important disease-defining feature4,5, and growing populations of cells in CLL diversify by stochastic changes in DNA methylation known as epimutations6. However, previous studies using bulk sequencing methods to analyse the patterns of DNA methylation were unable to determine whether epimutations affect CLL populations homogeneously. Here, to measure the epimutation rate at single-cell resolution, we applied multiplexed single-cell reduced-representation bisulfite sequencing to B cells from healthy donors and patients with CLL. We observed that the common clonal origin of CLL results in a consistently increased epimutation rate, with low variability in the cell-to-cell epimutation rate. By contrast, variable epimutation rates across healthy B cells reflect diverse evolutionary ages across the trajectory of B cell differentiation, consistent with epimutations serving as a molecular clock. Heritable epimutation information allowed us to reconstruct lineages at high-resolution with single-cell data, and to apply this directly to patient samples. The CLL lineage tree shape revealed earlier branching and longer branch lengths than in normal B cells, reflecting rapid drift after the initial malignant transformation and a greater proliferative history. Integration of single-cell bisulfite sequencing analysis with single-cell transcriptomes and genotyping confirmed that genetic subclones mapped to distinct clades, as inferred solely on the basis of epimutation information. Finally, to examine potential lineage biases during therapy, we profiled serial samples during ibrutinib-associated lymphocytosis, and identified clades of cells that were preferentially expelled from the lymph node after treatment, marked by distinct transcriptional profiles. The single-cell integration of genetic, epigenetic and transcriptional information thus charts the lineage history of CLL and its evolution with therapy.
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Affiliation(s)
- Federico Gaiti
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA
| | - Ronan Chaligne
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA
| | - Hongcang Gu
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Ryan Matthew Brand
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA
| | - Steven Kothen-Hill
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA
| | - Rafael Schulman
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA
| | | | - Davide Risso
- Weill Cornell Medicine, New York, NY, 10021, USA,Department of Statistical Sciences, University of Padova, Padova, 35121, Italy
| | - Kyu-Tae Kim
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA
| | - Alessandro Pastore
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Kevin Y. Huang
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA
| | | | | | - Nathaniel D. Omans
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA
| | - Evan Biederstedt
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA
| | - Kendell Clement
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Lili Wang
- Department of Pathology, Massachusetts General Hospital, Boston, MA, 02114, USA,Beckman Research Institute, City of Hope, Monrovia, CA, 91016, USA
| | | | | | - Martin J. Aryee
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA,Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | | | | | - Andreas Gnirke
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Catherine J. Wu
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA,Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Alexander Meissner
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA,Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany
| | - Dan A. Landau
- New York Genome Center, New York, NY, 10013, USA,Weill Cornell Medicine, New York, NY, 10021, USA,Corresponding author: Dan A. Landau, MD, PhD, Weill Cornell Medicine, Belfer Research Building, 413 East 69th Street, New York, NY 10021,
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7
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Nguyen PH, Niesen E, Hallek M. New roles for B cell receptor associated kinases: when the B cell is not the target. Leukemia 2019; 33:576-587. [PMID: 30700840 DOI: 10.1038/s41375-018-0366-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 10/02/2018] [Indexed: 12/14/2022]
Abstract
Targeting of B cell receptor associated kinases (BAKs), such as Bruton's tyrosine kinase (BTK) or phosphoinositol-3-kinase (PI3K) delta, by specific inhibitors has revolutionized the therapy of B lymphoid malignancies. BAKs are critical signaling transducers of BCR signaling and seem relevant in B cell lymphoma pathogenesis. The functional relevance of BTK for lymphoid malignancies is strongly supported by the observation that resistance to therapy in CLL patients treated with BTK inhibitors such as ibrutinib is often associated with mutations in genes coding for BTK or Phospholipase-C gamma (PLCɣ). In some contrast, next generation sequencing data show that BAKs are mutated at very low frequency in treatment-naïve B cell lymphomas. Therefore, it remains debatable whether BAKs are essential drivers for lymphoma development. In addition, results obtained by targeted deletion of BAKs such as Lyn and Btk in murine CLL models suggest that BAKs may be essential to shape the dialogue between malignant B cells and the tumor microenvironment (TME). Since BAKs are expressed in multiple cell types, BAK inhibitors may disrupt the lymphoma supportive microenvironment. This concept also explains the typical response to BAK inhibitor treatment, characterized by a long-lasting increase of peripheral blood lymphoid cells, due to a redistribution from the lymphoid homing compartments. In addition, BAK inhibitors have shown some efficacy in solid tumors, probably through mediator cells in the TME. This review summarizes and validates the evidence for BAK inhibitors being part of a class of agents that modulate the (hematopoietic) microenvironment of cancers.
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Affiliation(s)
- Phuong-Hien Nguyen
- Department I of Internal Medicine, University Hospital of Cologne; Center for Integrated Oncology Cologne-Bonn; CECAD Center of Excellence on Cellular Stress Responses in Aging-Associated Diseases; Center for Molecular Medicine Cologne, University of Cologne, 50931, Cologne, Germany
| | - Emanuel Niesen
- Department I of Internal Medicine, University Hospital of Cologne; Center for Integrated Oncology Cologne-Bonn; CECAD Center of Excellence on Cellular Stress Responses in Aging-Associated Diseases; Center for Molecular Medicine Cologne, University of Cologne, 50931, Cologne, Germany
| | - Michael Hallek
- Department I of Internal Medicine, University Hospital of Cologne; Center for Integrated Oncology Cologne-Bonn; CECAD Center of Excellence on Cellular Stress Responses in Aging-Associated Diseases; Center for Molecular Medicine Cologne, University of Cologne, 50931, Cologne, Germany.
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8
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Karvonen H, Perttilä R, Niininen W, Hautanen V, Barker H, Murumägi A, Heckman CA, Ungureanu D. Wnt5a and ROR1 activate non-canonical Wnt signaling via RhoA in TCF3-PBX1 acute lymphoblastic leukemia and highlight new treatment strategies via Bcl-2 co-targeting. Oncogene 2019; 38:3288-3300. [PMID: 30631148 DOI: 10.1038/s41388-018-0670-9] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 12/07/2018] [Accepted: 12/18/2018] [Indexed: 12/22/2022]
Abstract
B-cell precursor acute lymphoblastic leukemia (BCP-ALL) with TCF3-PBX1 fusion gene expression has constitutively elevated levels of Wnt16b and ROR1 (receptor tyrosine kinase-like orphan receptor), a ligand and a receptor from the Wnt signaling pathway, respectively. Although survival rate is usually high after the initial chemotherapy, many TCF3-PBX1 BCP-ALL patients relapse and subsequently develop treatment resistance, resulting in poor prognosis. Here, we aimed to investigate the molecular signaling associated with Wnt16b and ROR1 overexpression in TCF3-PBX1 cell lines and primary samples, and to identify effective treatment options via ROR1 targeting. We detected higher ROR1 expression on TCF3-PBX1 leukemic cells even at a later stage of patient relapse, providing a strong rationale for the use of ROR1-targeted therapy. We found that Wnt5a-ROR1 signaling enhances proliferation of TCF3-PBX1 cells via RhoA/Rac1 GTPases activation and STAT3 upregulation. Wnt16b also activated the RhoA/Rac1 signaling cascade suggesting the activation of a non-canonical Wnt pathway in TCF3-PBX1 cells. Wnt16 could interact with ROR1 but not in TCF3-PBX1 cells, suggesting that Wnt5a is the ligand signaling via ROR1 in TCF3-PBX1 cells. By high throughput drug-sensitivity testing of TCF3-PBX1 cells before and after ROR1 knockdown we found that targeting ROR1 significantly improves the therapeutic efficacy of Bcl-2 family inhibitors venetoclax and navitoclax, and this synergism was confirmed ex vivo using a drug-resistant primary sample from a relapsed TCF3-PBX1 patient. Our work underlines a new type of targeted combination therapy that could be clinically advantageous for patients with TCF3-PBX1 BCP-ALL.
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Affiliation(s)
- Hanna Karvonen
- BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Robert Perttilä
- BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Wilhelmiina Niininen
- BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Veera Hautanen
- BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Harlan Barker
- BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Astrid Murumägi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Caroline A Heckman
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Daniela Ungureanu
- BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
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