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Kridel R. Follicular lymphoma: contemporary clinical management with a focus on recent therapeutic advances. Korean J Intern Med 2025; 40:371-393. [PMID: 39987895 DOI: 10.3904/kjim.2024.279] [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: 08/15/2024] [Accepted: 11/03/2024] [Indexed: 02/25/2025] Open
Abstract
Follicular lymphoma (FL) is the most common type of indolent lymphoma, and the prognosis is favorable for most patients. However, FL remains generally incurable, and relapse is common. Patients are at risk of developing treatment-resistant lymphoma, particularly when early disease progression occurs or transformation to aggressive lymphoma takes place. Furthermore, lymphoma is the leading cause of death among patients with FL, emphasizing the need for more effective treatment strategies. This review summarizes therapeutic approaches for FL, with a focus on therapies currently in development. Recent biological insights have driven the emergence of highly effective treatments, including novel immune and targeted therapies. Clinical trials are assessing the efficacy of these novel approaches, which are increasingly used in earlier line settings. In the future, FL therapy is expected to rely less on chemotherapeutic methods, extend remission, and potentially enable cures for a growing number of patients.
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Affiliation(s)
- Robert Kridel
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
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2
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Weniger MA, Seifert M, Küppers R. B Cell Differentiation and the Origin and Pathogenesis of Human B Cell Lymphomas. Methods Mol Biol 2025; 2865:1-30. [PMID: 39424718 DOI: 10.1007/978-1-0716-4188-0_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2024]
Abstract
Immunoglobulin (IG) gene remodeling by V(D)J recombination plays a central role in the generation of normal B cells, and somatic hypermutation and class switching of IG genes are key processes during antigen-driven B cell differentiation in the germinal center reaction. However, errors of these processes are involved in the development of B cell lymphomas. IG locus-associated translocations of proto-oncogenes are a hallmark of many B cell malignancies. Additional transforming events include inactivating mutations in various tumor suppressor genes and also latent infection of B cells with viruses, such as Epstein-Barr virus. Most B cell lymphomas require B cell antigen receptor expression, and in several instances chronic antigenic stimulation plays a role in lymphoma development and/or sustaining tumor growth. Often, survival and proliferation signals provided by other cells in the microenvironment are a further critical factor in lymphoma development and pathophysiology. Most B cell malignancies derive from germinal center B cells, most likely due to the high proliferative activity of these B cells and aberrant mutations caused by their naturally active mutagenic processes.
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Affiliation(s)
- Marc A Weniger
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Medical School, Essen, Germany
| | - Marc Seifert
- Department of Haematology, Oncology and Clinical Immunology, Heinrich Heine University, Medical School, Düsseldorf, Germany
| | - Ralf Küppers
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Medical School, Essen, Germany.
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3
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Liongue C, Almohaisen FLJ, Ward AC. B Cell Lymphoma 6 (BCL6): A Conserved Regulator of Immunity and Beyond. Int J Mol Sci 2024; 25:10968. [PMID: 39456751 PMCID: PMC11507070 DOI: 10.3390/ijms252010968] [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: 09/17/2024] [Revised: 10/09/2024] [Accepted: 10/09/2024] [Indexed: 10/28/2024] Open
Abstract
B cell lymphoma 6 (BCL6) is a conserved multi-domain protein that functions principally as a transcriptional repressor. This protein regulates many pivotal aspects of immune cell development and function. BCL6 is critical for germinal center (GC) formation and the development of high-affinity antibodies, with key roles in the generation and function of GC B cells, follicular helper T (Tfh) cells, follicular regulatory T (Tfr) cells, and various immune memory cells. BCL6 also controls macrophage production and function as well as performing a myriad of additional roles outside of the immune system. Many of these regulatory functions are conserved throughout evolution. The BCL6 gene is also important in human oncology, particularly in diffuse large B cell lymphoma (DLBCL) and follicular lymphoma (FL), but also extending to many in other cancers, including a unique role in resistance to a variety of therapies, which collectively make BCL6 inhibitors highly sought-after.
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Affiliation(s)
- Clifford Liongue
- School of Medicine, Deakin University, Geelong, VIC 3216, Australia; (C.L.); (F.L.J.A.)
- Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC 3216, Australia
| | - Farooq L. J. Almohaisen
- School of Medicine, Deakin University, Geelong, VIC 3216, Australia; (C.L.); (F.L.J.A.)
- Department of Medical Laboratory Techniques, Southern Technical University, Basra 61001, Iraq
| | - Alister C. Ward
- School of Medicine, Deakin University, Geelong, VIC 3216, Australia; (C.L.); (F.L.J.A.)
- Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC 3216, Australia
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4
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Bai B, Wise JF, Vodák D, Nakken S, Sharma A, Blaker YN, Brodtkorb M, Hilden V, Trøen G, Ren W, Lorenz S, Lawrence MS, Myklebost O, Kimby E, Pan-Hammarström Q, Steen CB, Meza-Zepeda LA, Beiske K, Smeland EB, Hovig E, Lingjærde OC, Holte H, Myklebust JH. Multi-omics profiling of longitudinal samples reveals early genomic changes in follicular lymphoma. Blood Cancer J 2024; 14:147. [PMID: 39191762 PMCID: PMC11350178 DOI: 10.1038/s41408-024-01124-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 08/02/2024] [Accepted: 08/09/2024] [Indexed: 08/29/2024] Open
Abstract
Follicular lymphoma (FL) is the most common indolent type of B-cell non-Hodgkin lymphoma. Advances in treatment have improved overall survival, but early relapse or transformation to aggressive disease is associated with inferior outcome. To identify early genetic events and track tumor clonal evolution, we performed multi-omics analysis of 94 longitudinal biopsies from 44 FL patients; 22 with transformation (tFL) and 22 with relapse without transformation (nFL). Deep whole-exome sequencing confirmed recurrent mutations in genes encoding epigenetic regulators (CREBBP, KMT2D, EZH2, EP300), with similar mutational landscape in nFL and tFL patients. Calculation of genomic distances between longitudinal samples revealed complex evolutionary patterns in both subgroups. CREBBP and KMT2D mutations were identified as genetic events that occur early in the disease course, and cases with CREBBP KAT domain mutations had low risk of transformation. Gains in chromosomes 12 and 18 (TCF4), and loss in 6q were identified as early and stable copy number alterations. Identification of such early and stable genetic events may provide opportunities for early disease detection and disease monitoring. Integrative analysis revealed that tumors with EZH2 mutations exhibited reduced gene expression of numerous histone genes, including histone linker genes. This might contribute to the epigenetic dysregulation in FL.
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Affiliation(s)
- Baoyan Bai
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Molecular Biology (EpiGen),, Akershus University Hospital, Lørenskog, Norway
| | - Jillian F Wise
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
- Norwegian Cancer Genomics Consortium, CancerGenomics.no, Oslo, Norway
- Massachusetts General Hospital Cancer Center and Department of Pathology, Harvard Medical School, Charlestown, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Daniel Vodák
- Norwegian Cancer Genomics Consortium, CancerGenomics.no, Oslo, Norway
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Sigve Nakken
- Norwegian Cancer Genomics Consortium, CancerGenomics.no, Oslo, Norway
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Centre for Bioinformatics, University of Oslo, Oslo, Norway
| | - Ankush Sharma
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
- Precision Immunotherapy Alliance, University of Oslo, Oslo, Norway
| | - Yngvild Nuvin Blaker
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Marianne Brodtkorb
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Oncology, Division for Cancer Medicine, Oslo University Hospital, Oslo, Norway
| | - Vera Hilden
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
- Precision Immunotherapy Alliance, University of Oslo, Oslo, Norway
| | - Gunhild Trøen
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Weicheng Ren
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Susanne Lorenz
- Norwegian Cancer Genomics Consortium, CancerGenomics.no, Oslo, Norway
- Genomics Core Facility, Department of Core Facilities, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Michael S Lawrence
- Massachusetts General Hospital Cancer Center and Department of Pathology, Harvard Medical School, Charlestown, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Ola Myklebost
- Norwegian Cancer Genomics Consortium, CancerGenomics.no, Oslo, Norway
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Department for Clinical Science, University of Bergen, Bergen, Norway
| | - Eva Kimby
- Unit for Hematology and Department of Medicine at Karolinska Institutet, Huddinge, Stockholm, Sweden
| | - Qiang Pan-Hammarström
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Chloé B Steen
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
- Precision Immunotherapy Alliance, University of Oslo, Oslo, Norway
| | - Leonardo A Meza-Zepeda
- Norwegian Cancer Genomics Consortium, CancerGenomics.no, Oslo, Norway
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Genomics Core Facility, Department of Core Facilities, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Klaus Beiske
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Erlend B Smeland
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Eivind Hovig
- Norwegian Cancer Genomics Consortium, CancerGenomics.no, Oslo, Norway
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Centre for Bioinformatics, University of Oslo, Oslo, Norway
| | - Ole Christian Lingjærde
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Informatics, University of Oslo, Oslo, Norway
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Harald Holte
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway.
- Norwegian Cancer Genomics Consortium, CancerGenomics.no, Oslo, Norway.
- Department of Oncology, Division for Cancer Medicine, Oslo University Hospital, Oslo, Norway.
| | - June Helen Myklebust
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
- KG Jebsen Centre for B-cell malignancies, Institute for Clinical Medicine, University of Oslo, Oslo, Norway.
- Precision Immunotherapy Alliance, University of Oslo, Oslo, Norway.
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Qiu Z, Khalife J, Ethiraj P, Jaafar C, Lin AP, Holder KN, Ritter JP, Chiou L, Huelgas-Morales G, Aslam S, Zhang Z, Liu Z, Arya S, Gupta YK, Dahia PLM, Aguiar RC. IRF8-mutant B cell lymphoma evades immunity through a CD74-dependent deregulation of antigen processing and presentation in MHCII complexes. SCIENCE ADVANCES 2024; 10:eadk2091. [PMID: 38996030 PMCID: PMC11244530 DOI: 10.1126/sciadv.adk2091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 06/06/2024] [Indexed: 07/14/2024]
Abstract
The mechanism by which interferon regulatory factor 8 (IRF8) mutation contributes to lymphomagenesis is unknown. We modeled IRF8 variants in B cell lymphomas and found that they affected the expression of regulators of antigen presentation. Expression of IRF8 mutants in murine B cell lymphomas suppressed CD4, but not CD8, activation elicited by antigen presentation and downmodulated CD74 and human leukocyte antigen (HLA) DM, intracellular regulators of antigen peptide processing/loading in the major histocompatibility complex (MHC) II. Concordantly, mutant IRF8 bound less efficiently to the promoters of these genes. Mice harboring IRF8 mutant lymphomas displayed higher tumor burden and remodeling of the tumor microenvironment, typified by depletion of CD4, CD8, and natural killer cells, increase in regulatory T cells and T follicular helper cells. Deconvolution of bulk RNA sequencing data from IRF8-mutant human diffuse large B cell lymphoma (DLBCL) recapitulated part of the immune remodeling detected in mice. We concluded that IRF8 mutations contribute to DLBCL biology by facilitating immune escape.
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MESH Headings
- Interferon Regulatory Factors/genetics
- Interferon Regulatory Factors/metabolism
- Animals
- Antigen Presentation/immunology
- Antigen Presentation/genetics
- Humans
- Mice
- Mutation
- Histocompatibility Antigens Class II/genetics
- Histocompatibility Antigens Class II/immunology
- Histocompatibility Antigens Class II/metabolism
- Antigens, Differentiation, B-Lymphocyte/genetics
- Antigens, Differentiation, B-Lymphocyte/metabolism
- Lymphoma, B-Cell/genetics
- Lymphoma, B-Cell/immunology
- Tumor Microenvironment/immunology
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/immunology
- Lymphoma, Large B-Cell, Diffuse/pathology
- Cell Line, Tumor
- Tumor Escape/genetics
- Gene Expression Regulation, Neoplastic
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Affiliation(s)
- Zhijun Qiu
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Jihane Khalife
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Purushoth Ethiraj
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Carine Jaafar
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - An-Ping Lin
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Kenneth N. Holder
- Department of Pathology, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Jacob P. Ritter
- Department of Pathology, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Lilly Chiou
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Gabriela Huelgas-Morales
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Sadia Aslam
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Zhao Zhang
- Department of Molecular Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Zhijie Liu
- Department of Molecular Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Shailee Arya
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Yogesh K. Gupta
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Patricia L. M. Dahia
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
| | - Ricardo C.T. Aguiar
- Division of Hematology and Medical Oncology, Department of Medicine, Mays Cancer Center, University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA
- South Texas Veterans Health Care System, Audie Murphy VA Hospital, San Antonio, TX 78229, USA
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6
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Xu W, Zhang H, Guo W, Jiang L, Zhao Y, Peng Y. Deciphering principles of nucleosome interactions and impact of cancer-associated mutations from comprehensive interaction network analysis. Brief Bioinform 2024; 25:bbad532. [PMID: 38329268 PMCID: PMC10851104 DOI: 10.1093/bib/bbad532] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/30/2023] [Accepted: 12/23/2023] [Indexed: 02/09/2024] Open
Abstract
Nucleosomes represent hubs in chromatin organization and gene regulation and interact with a plethora of chromatin factors through different modes. In addition, alterations in histone proteins such as cancer mutations and post-translational modifications have profound effects on histone/nucleosome interactions. To elucidate the principles of histone interactions and the effects of those alterations, we developed histone interactomes for comprehensive mapping of histone-histone interactions (HHIs), histone-DNA interactions (HDIs), histone-partner interactions (HPIs) and DNA-partner interactions (DPIs) of 37 organisms, which contains a total of 3808 HPIs from 2544 binding proteins and 339 HHIs, 100 HDIs and 142 DPIs across 110 histone variants. With the developed networks, we explored histone interactions at different levels of granularities (protein-, domain- and residue-level) and performed systematic analysis on histone interactions at a large scale. Our analyses have characterized the preferred binding hotspots on both nucleosomal/linker DNA and histone octamer and unraveled diverse binding modes between nucleosome and different classes of binding partners. Last, to understand the impact of histone cancer-associated mutations on histone/nucleosome interactions, we complied one comprehensive cancer mutation dataset including 7940 cancer-associated histone mutations and further mapped those mutations onto 419,125 histone interactions at the residue level. Our quantitative analyses point to histone cancer-associated mutations' strongly disruptive effects on HHIs, HDIs and HPIs. We have further predicted 57 recurrent histone cancer mutations that have large effects on histone/nucleosome interactions and may have driver status in oncogenesis.
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Affiliation(s)
- Wang Xu
- Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan 430079, China
| | - Houfang Zhang
- Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan 430079, China
| | - Wenhan Guo
- Computational Science Program, University of Texas at El Paso, El Paso, TX 79902, USA
| | - Lijun Jiang
- Hubei Key Laboratory of Genetic Regulation & Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan 430079, China
| | - Yunjie Zhao
- Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan 430079, China
| | - Yunhui Peng
- Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan 430079, China
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7
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Tabatabai A, Arora A, Höfmann S, Jauch M, von Tresckow B, Hansen J, Flümann R, Jachimowicz RD, Klein S, Reinhardt HC, Knittel G. Mouse models of diffuse large B cell lymphoma. Front Immunol 2023; 14:1313371. [PMID: 38124747 PMCID: PMC10731046 DOI: 10.3389/fimmu.2023.1313371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/10/2023] [Indexed: 12/23/2023] Open
Abstract
Diffuse large B cell lymphoma (DLBCL) is a genetically highly heterogeneous disease. Yet, to date, the vast majority of patients receive standardized frontline chemo-immune-therapy consisting of an anthracycline backbone. Using these regimens, approximately 65% of patients can be cured, whereas the remaining 35% of patients will face relapsed or refractory disease, which, even in the era of CAR-T cells, is difficult to treat. To systematically tackle this high medical need, it is important to design, generate and deploy suitable in vivo model systems that capture disease biology, heterogeneity and drug response. Recently published, large comprehensive genomic characterization studies, which defined molecular sub-groups of DLBCL, provide an ideal framework for the generation of autochthonous mouse models, as well as an ideal benchmark for cell line-derived or patient-derived mouse models of DLBCL. Here we discuss the current state of the art in the field of mouse modelling of human DLBCL, with a particular focus on disease biology and genetically defined molecular vulnerabilities, as well as potential targeting strategies.
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Affiliation(s)
- Areya Tabatabai
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Aastha Arora
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Svenja Höfmann
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Maximilian Jauch
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Bastian von Tresckow
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Julia Hansen
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn, Cologne, Germany
- Center for Molecular Medicine, University of Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Mildred Scheel School of Oncology Aachen Bonn Cologne Düsseldorf (MSSO ABCD), Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Ruth Flümann
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn, Cologne, Germany
- Center for Molecular Medicine, University of Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Mildred Scheel School of Oncology Aachen Bonn Cologne Düsseldorf (MSSO ABCD), Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Ron D. Jachimowicz
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn, Cologne, Germany
- Center for Molecular Medicine, University of Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Mildred Scheel School of Oncology Aachen Bonn Cologne Düsseldorf (MSSO ABCD), Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Sebastian Klein
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Hans Christian Reinhardt
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
| | - Gero Knittel
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany
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8
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Soh PXY, Mmekwa N, Petersen DC, Gheybi K, van Zyl S, Jiang J, Patrick SM, Campbell R, Jaratlerdseri W, Mutambirwa SBA, Bornman MSR, Hayes VM. Prostate cancer genetic risk and associated aggressive disease in men of African ancestry. Nat Commun 2023; 14:8037. [PMID: 38052806 PMCID: PMC10697980 DOI: 10.1038/s41467-023-43726-w] [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: 05/28/2023] [Accepted: 11/17/2023] [Indexed: 12/07/2023] Open
Abstract
African ancestry is a significant risk factor for prostate cancer and advanced disease. Yet, genetic studies have largely been conducted outside the context of Sub-Saharan Africa, identifying 278 common risk variants contributing to a multiethnic polygenic risk score, with rare variants focused on a panel of roughly 20 pathogenic genes. Based on this knowledge, we are unable to determine polygenic risk or differentiate prostate cancer status interrogating whole genome data for 113 Black South African men. To further assess for potentially functional common and rare variant associations, here we interrogate 247,780 exomic variants for 798 Black South African men using a case versus control or aggressive versus non-aggressive study design. Notable genes of interest include HCP5, RFX6 and H3C1 for risk, and MKI67 and KLF5 for aggressive disease. Our study highlights the need for further inclusion across the African diaspora to establish African-relevant risk models aimed at reducing prostate cancer health disparities.
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Affiliation(s)
- Pamela X Y Soh
- Ancestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Naledi Mmekwa
- School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Desiree C Petersen
- South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Kazzem Gheybi
- Ancestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Smit van Zyl
- Faculty of Health Sciences, University of Limpopo, Turfloop Campus, South Africa
| | - Jue Jiang
- Ancestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Sean M Patrick
- School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | | | - Weerachai Jaratlerdseri
- Ancestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Shingai B A Mutambirwa
- Department of Urology, Sefako Makgatho Health Science University, Dr George Mukhari Academic Hospital, Medunsa, South Africa
| | - M S Riana Bornman
- School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Vanessa M Hayes
- Ancestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia.
- School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa.
- Faculty of Health Sciences, University of Limpopo, Turfloop Campus, South Africa.
- Manchester Cancer Research Centre, University of Manchester, Manchester, M20 4GJ, UK.
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9
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Ragusa D, Vagnarelli P. Contribution of histone variants to aneuploidy: a cancer perspective. Front Genet 2023; 14:1290903. [PMID: 38075697 PMCID: PMC10702394 DOI: 10.3389/fgene.2023.1290903] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/27/2023] [Indexed: 07/29/2024] Open
Abstract
Histone variants, which generally differ in few amino acid residues, can replace core histones (H1, H2A, H2B, and H3) to confer specific structural and functional features to regulate cellular functions. In addition to their role in DNA packaging, histones modulate key processes such as gene expression regulation and chromosome segregation, which are frequently dysregulated in cancer cells. During the years, histones variants have gained significant attention as gatekeepers of chromosome stability, raising interest in understanding how structural and functional alterations can contribute to tumourigenesis. Beside the well-established role of the histone H3 variant CENP-A in centromere specification and maintenance, a growing body of literature has described mutations, aberrant expression patterns and post-translational modifications of a variety of histone variants in several cancers, also coining the term "oncohistones." At the molecular level, mechanistic studies have been dissecting the biological mechanisms behind histones and missegregation events, with the potential to uncover novel clinically-relevant targets. In this review, we focus on the current understanding and highlight knowledge gaps of the contribution of histone variants to aneuploidy, and we have compiled a database (HistoPloidyDB) of histone gene alterations linked to aneuploidy in cancers of the The Cancer Genome Atlas project.
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Affiliation(s)
- Denise Ragusa
- College of Health, Medicine and Life Sciences, Department of Life Sciences, Brunel University London, London, United Kingdom
| | - Paola Vagnarelli
- College of Health, Medicine and Life Sciences, Department of Life Sciences, Brunel University London, London, United Kingdom
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10
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Tomacinschii V, Mosquera Orgueira A, Santos CA, Robu M, Buruiana S, Fraga Rodriguez MF. The implication of next-generation sequencing in the diagnosis and clinical management of non-Hodgkin lymphomas. Front Oncol 2023; 13:1275327. [PMID: 38023160 PMCID: PMC10663367 DOI: 10.3389/fonc.2023.1275327] [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: 08/09/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Next generation sequencing (NGS) is a technology that broadens the horizon of knowledge of several somatic pathologies, especially in oncological and oncohematological pathology. In the case of NHL, the understanding of the mechanisms of tumorigenesis, tumor proliferation and the identification of genetic markers specific to different lymphoma subtypes led to more accurate classification and diagnosis. Similarly, the data obtained through NGS allowed the identification of recurrent somatic mutations that can serve as therapeutic targets that can be inhibited and thus reducing the rate of resistant cases. The article's purpose is to offer a comprehensive overview of the best ways of integrating of next-generation sequencing technologies for diagnosis, prognosis, classification, and selection of optimal therapy from the perspective of tailor-made medicine.
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Affiliation(s)
- Victor Tomacinschii
- Department of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova
- Department of Hematology, Public Medical Sanitary Institution (PMSI) Institute of Oncology, Chisinau, Moldova
| | - Adrian Mosquera Orgueira
- University Hospital of Santiago de Compostela, Servizo Galego de Saude (SERGAS), Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Carlos Aliste Santos
- University Hospital of Santiago de Compostela, Servizo Galego de Saude (SERGAS), Santiago de Compostela, Spain
| | - Maria Robu
- Department of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova
| | - Sanda Buruiana
- Department of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova
| | - Maximo Francisco Fraga Rodriguez
- University Hospital of Santiago de Compostela, Servizo Galego de Saude (SERGAS), Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
- Department of Forensic Sciences, Pathology, Ginecology and Obstetrics and Pediatrics, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
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11
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Steidl C, Kridel R, Binkley M, Morton LM, Chadburn A. The pathobiology of select adolescent young adult lymphomas. EJHAEM 2023; 4:892-901. [PMID: 38024596 PMCID: PMC10660115 DOI: 10.1002/jha2.785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 08/01/2023] [Accepted: 08/05/2023] [Indexed: 12/01/2023]
Abstract
Lymphoid cancers are among the most frequent cancers diagnosed in adolescents and young adults (AYA), ranging from approximately 30%-35% of cancer diagnoses in adolescent patients (age 10-19) to approximately 10% in patients aged 30-39 years. Moreover, the specific distribution of lymphoid cancer types varies by age with substantial shifts in the subtype distributions between pediatric, AYA, adult, and older adult patients. Currently, biology studies specific to AYA lymphomas are rare and therefore insight into age-related pathogenesis is incomplete. This review focuses on the paradigmatic epidemiology and pathogenesis of select lymphomas, occurring in the AYA patient population. With the example of posttransplant lymphoproliferative disorders, nodular lymphocyte-predominant Hodgkin lymphoma, follicular lymphoma (incl. pediatric-type follicular lymphoma), and mediastinal lymphomas (incl. classic Hodgkin lymphoma, primary mediastinal large B cell lymphoma and mediastinal gray zone lymphoma), we here illustrate the current state-of-the-art in lymphoma classification, recent molecular insights including genomics, and translational opportunities. To improve outcome and quality of life, international collaboration in consortia dedicated to AYA lymphoma is needed to overcome challenges related to siloed biospecimens and data collections as well as to develop studies designed specifically for this unique population.
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Affiliation(s)
- Christian Steidl
- Centre for Lymphoid CancerBC CancerVancouverBritish ColumbiaCanada
| | - Robert Kridel
- Princess Margaret Cancer Centre ‐ University Health NetworkTorontoOntarioCanada
| | - Michael Binkley
- Department of Radiation OncologyStanford UniversityStanfordCaliforniaUSA
| | - Lindsay M. Morton
- Radiation Epidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteRockvilleMarylandUSA
| | - Amy Chadburn
- Department of Pathology and Laboratory MedicineWeill Cornell MedicineNew YorkNew YorkUSA
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12
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Qiu Z, Khalife J, Lin AP, Ethiraj P, Jaafar C, Chiou L, Huelgas-Morales G, Aslam S, Arya S, Gupta YK, Dahia PLM, Aguiar RCT. IRF8-mutant B cell lymphoma evades immunity through a CD74-dependent deregulation of antigen processing and presentation in MHC CII complexes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.14.560755. [PMID: 37873241 PMCID: PMC10592808 DOI: 10.1101/2023.10.14.560755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
In diffuse large B-cell lymphoma (DLBCL), the transcription factor IRF8 is the target of a series of potentially oncogenic events, including, chromosomal translocation, focal amplification, and super-enhancer perturbations. IRF8 is also frequently mutant in DLBCL, but how these variants contribute to lymphomagenesis is unknown. We modeled IRF8 mutations in DLBCL and found that they did not meaningfully impact cell fitness. Instead, IRF8 mutants, mapping either to the DNA-binding domain (DBD) or c-terminal tail, displayed diminished transcription activity towards CIITA, a direct IRF8 target. In primary DLBCL, IRF8 mutations were mutually exclusive with mutations in genes involved in antigen presentation. Concordantly, expression of IRF8 mutants in murine B cell lymphomas uniformly suppressed CD4, but not CD8, activation elicited by antigen presentation. Unexpectedly, IRF8 mutation did not modify MHC CII expression on the cell surface, rather it downmodulated CD74 and HLA- DM, intracellular regulators of antigen peptide processing/loading in the MHC CII complex. These changes were functionally relevant as, in comparison to IRF8 WT, mice harboring IRF8 mutant lymphomas displayed a significantly higher tumor burden, in association with a substantial remodeling of the tumor microenvironment (TME), typified by depletion of CD4, CD8, Th1 and NK cells, and increase in T-regs and Tfh cells. Importantly, the clinical and immune phenotypes of IRF8-mutant lymphomas were rescued in vivo by ectopic expression of CD74. Deconvolution of bulk RNAseq data from primary human DLBCL recapitulated part of the immune remodeling detected in mice and pointed to depletion of dendritic cells as another feature of IRF8 mutant TME. We concluded that IRF8 mutations contribute to DLBCL biology by facilitating immune escape.
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13
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Russler-Germain DA, Krysiak K, Ramirez C, Mosior M, Watkins MP, Gomez F, Skidmore ZL, Trani L, Gao F, Geyer S, Cashen AF, Mehta-Shah N, Kahl BS, Bartlett NL, Alderuccio JP, Lossos IS, Ondrejka SL, Hsi ED, Martin P, Leonard JP, Griffith M, Griffith OL, Fehniger TA. Mutations associated with progression in follicular lymphoma predict inferior outcomes at diagnosis: Alliance A151303. Blood Adv 2023; 7:5524-5539. [PMID: 37493986 PMCID: PMC10514406 DOI: 10.1182/bloodadvances.2023010779] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/27/2023] Open
Abstract
Follicular lymphoma (FL) is clinically heterogeneous, with select patients tolerating extended watch-and-wait, whereas others require prompt treatment, suffer progression of disease within 24 months of treatment (POD24), and/or experience aggressive histologic transformation (t-FL). Because our understanding of the relationship between genetic alterations in FL and patient outcomes remains limited, we conducted a clinicogenomic analysis of 370 patients with FL or t-FL (from Cancer and Leukemia Group B/Alliance trials 50402/50701/50803, or real-world cohorts from Washington University School of Medicine, Cleveland Clinic, or University of Miami). FL subsets by grade, stage, watch-and-wait, or POD24 status did not differ by mutation burden, whereas mutation burden was significantly higher in relapsed/refractory (rel/ref) FL and t-FL than in newly diagnosed (dx) FL. Nonetheless, mutation burden in dx FL was not associated with frontline progression-free survival (PFS). CREBBP was the only gene more commonly mutated in FL than in t-FL yet mutated CREBBP was associated with shorter frontline PFS in FL. Mutations in 20 genes were more common in rel/ref FL or t-FL than in dx FL, including 6 significantly mutated genes (SMGs): STAT6, TP53, IGLL5, B2M, SOCS1, and MYD88. We defined a mutations associated with progression (MAP) signature as ≥2 mutations in these 7 genes (6 rel/ref FL or t-FL SMGs plus CREBBP). Patients with dx FL possessing a MAP signature had shorter frontline PFS, revealing a 7-gene set offering insight into FL progression risk potentially more generalizable than the m7-Follicular Lymphoma International Prognostic Index (m7-FLIPI), which had modest prognostic value in our cohort. Future studies are warranted to validate the poor prognosis associated with a MAP signature in dx FL, potentially facilitating novel trials specifically in this high-risk subset of patients.
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Affiliation(s)
- David A. Russler-Germain
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Kilannin Krysiak
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Cody Ramirez
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Matthew Mosior
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Marcus P. Watkins
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Felicia Gomez
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Zachary L. Skidmore
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Lee Trani
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Feng Gao
- Public Health Sciences Division, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Susan Geyer
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN
| | - Amanda F. Cashen
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Neha Mehta-Shah
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Brad S. Kahl
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Nancy L. Bartlett
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Juan P. Alderuccio
- Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL
| | - Izidore S. Lossos
- Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL
| | - Sarah L. Ondrejka
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Eric D. Hsi
- Department of Pathology, Wake Forest Baptist Medical Center, Winston Salem, NC
| | - Peter Martin
- Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY
| | - John P. Leonard
- Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY
| | - Malachi Griffith
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Obi L. Griffith
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Todd A. Fehniger
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
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14
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Ding T, Zhang J, Xu H, Zhang X, Yang F, Shi Y, Bai Y, Yang J, Chen C, Zhang H. In-depth understanding of higher-order genome architecture in orphan cancer. Biochim Biophys Acta Rev Cancer 2023; 1878:188948. [PMID: 37394019 DOI: 10.1016/j.bbcan.2023.188948] [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: 05/24/2023] [Revised: 06/27/2023] [Accepted: 06/27/2023] [Indexed: 07/04/2023]
Abstract
The human genome is intertwined, folded, condensed, and gradually constitutes the 3D architecture, thereby affecting transcription and widely involving in tumorigenesis. Incidence and mortality rates for orphan cancers increase due to poor early diagnosis and lack of effective medical treatments, which are now getting attention. In-depth understanding in tumorigenesis has fast-tracked over the last decade, however, the further role and mechanism of 3D genome organization in variant orphan tumorigenesis remains to be fully understood. We summarize for the first time that higher-order genome organization can provide novel insights into the occurrence mechanisms of orphan cancers, and discuss probable future research directions for drug development and anti-tumor therapies.
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Affiliation(s)
- Tianyi Ding
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Jixing Zhang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Haowen Xu
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Xiaoyu Zhang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Fan Yang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Yibing Shi
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Yiran Bai
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Jiaqi Yang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Chaoqun Chen
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - He Zhang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China.
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15
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Bonner ER, Dawood A, Gordish-Dressman H, Eze A, Bhattacharya S, Yadavilli S, Mueller S, Waszak SM, Nazarian J. Pan-cancer atlas of somatic core and linker histone mutations. NPJ Genom Med 2023; 8:23. [PMID: 37640703 PMCID: PMC10462747 DOI: 10.1038/s41525-023-00367-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Accepted: 08/07/2023] [Indexed: 08/31/2023] Open
Abstract
Recent genomic data points to a growing role for somatic mutations altering core histone and linker histone-encoding genes in cancer. However, the prevalence and the clinical and biological implications of histone gene mutations in malignant tumors remain incompletely defined. To address these knowledge gaps, we analyzed somatic mutations in 88 linker and core histone genes across 12,743 tumors from pediatric, adolescent and young adult (AYA), and adult cancer patients. We established a pan-cancer histone mutation atlas contextualized by patient age, survival outcome, and tumor location. Overall, 11% of tumors harbored somatic histone mutations, with the highest rates observed among chondrosarcoma (67%), pediatric high-grade glioma (pHGG, >60%), and lymphoma (>30%). Previously unreported histone mutations were discovered in pHGG and other pediatric brain tumors, extending the spectrum of histone gene alterations associated with these cancers. Histone mutation status predicted patient survival outcome in tumor entities including adrenocortical carcinoma. Recurrent pan-cancer histone mutation hotspots were defined and shown to converge on evolutionarily conserved and functional residues. Moreover, we studied histone gene mutations in 1700 pan-cancer cell lines to validate the prevalence and spectrum of histone mutations seen in primary tumors and derived histone-associated drug response profiles, revealing candidate drugs targeting histone mutant cancer cells. This study presents the first-of-its-kind atlas of both core and linker histone mutations across pediatric, AYA, and adult cancers, providing a framework by which specific cancers may be redefined in the context of histone and chromatin alterations.
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Affiliation(s)
- Erin R Bonner
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA
| | - Adam Dawood
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA
| | | | - Augustine Eze
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA
| | - Surajit Bhattacharya
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA
| | - Sridevi Yadavilli
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA
| | - Sabine Mueller
- Department of Neurology, Neurosurgery and Pediatrics, University of California San Francisco, San Francisco, CA, USA
- Department of Oncology, University Children's Hospital Zürich, Zürich, Switzerland
| | - Sebastian M Waszak
- Laboratory of Computational Neuro-Oncology, Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo and Oslo University Hospital, Oslo, Norway.
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
| | - Javad Nazarian
- Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA.
- Department of Oncology, University Children's Hospital Zürich, Zürich, Switzerland.
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16
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Dreval K, Hilton LK, Cruz M, Shaalan H, Ben-Neriah S, Boyle M, Collinge B, Coyle KM, Duns G, Farinha P, Grande BM, Meissner B, Pararajalingam P, Rushton CK, Slack GW, Wong J, Mungall AJ, Marra MA, Connors JM, Steidl C, Scott DW, Morin RD. Genetic subdivisions of follicular lymphoma defined by distinct coding and noncoding mutation patterns. Blood 2023; 142:561-573. [PMID: 37084389 PMCID: PMC10644066 DOI: 10.1182/blood.2022018719] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 04/06/2023] [Accepted: 04/06/2023] [Indexed: 04/23/2023] Open
Abstract
Follicular lymphoma (FL) accounts for ∼20% of all new lymphoma cases. Increases in cytological grade are a feature of the clinical progression of this malignancy, and eventual histologic transformation (HT) to the aggressive diffuse large B-cell lymphoma (DLBCL) occurs in up to 15% of patients. Clinical or genetic features to predict the risk and timing of HT have not been described comprehensively. In this study, we analyzed whole-genome sequencing data from 423 patients to compare the protein coding and noncoding mutation landscapes of untransformed FL, transformed FL, and de novo DLBCL. This revealed 2 genetically distinct subgroups of FL, which we have named DLBCL-like (dFL) and constrained FL (cFL). Each subgroup has distinguishing mutational patterns, aberrant somatic hypermutation rates, and biological and clinical characteristics. We implemented a machine learning-derived classification approach to stratify patients with FL into cFL and dFL subgroups based on their genomic features. Using separate validation cohorts, we demonstrate that cFL status, whether assigned with this full classifier or a single-gene approximation, is associated with a reduced rate of HT. This implies distinct biological features of cFL that constrain its evolution, and we highlight the potential for this classification to predict HT from genetic features present at diagnosis.
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Affiliation(s)
- Kostiantyn Dreval
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Laura K. Hilton
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Manuela Cruz
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Haya Shaalan
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | | | - Merrill Boyle
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Brett Collinge
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Krysta M. Coyle
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Gerben Duns
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Pedro Farinha
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | | | | | - Prasath Pararajalingam
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Christopher K. Rushton
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Graham W. Slack
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Jasper Wong
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Andrew J. Mungall
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Marco A. Marra
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | | | | | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
| | - Ryan D. Morin
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
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17
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Kirkiz E, Meers O, Grebien F, Buschbeck M. Histone Variants and Their Chaperones in Hematological Malignancies. Hemasphere 2023; 7:e927. [PMID: 37449197 PMCID: PMC10337764 DOI: 10.1097/hs9.0000000000000927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023] Open
Abstract
Epigenetic regulation occurs on the level of compacting DNA into chromatin. The functional unit of chromatin is the nucleosome, which consists of DNA wrapped around a core of histone proteins. While canonical histone proteins are incorporated into chromatin through a replication-coupled process, structural variants of histones, commonly named histone variants, are deposited into chromatin in a replication-independent manner. Specific chaperones and chromatin remodelers mediate the locus-specific deposition of histone variants. Although histone variants comprise one of the least understood layers of epigenetic regulation, it has been proposed that they play an essential role in directly regulating gene expression in health and disease. Here, we review the emerging evidence suggesting that histone variants have a role at different stages of hematopoiesis, with a particular focus on the histone variants H2A, H3, and H1. Moreover, we discuss the current knowledge on how the dysregulation of histone variants can contribute to hematopoietic malignancies.
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Affiliation(s)
- Ecem Kirkiz
- Institute for Medical Biochemistry, University of Veterinary Medicine, Vienna, Austria
| | - Oliver Meers
- Cancer and Leukaemia Epigenetics and Biology Program, Josep Carreras Leukaemia Research Institute (IJC), Campus Can Ruti, Badalona, Spain
- PhD Programme in Biomedicine, University of Barcelona, Spain
| | - Florian Grebien
- Institute for Medical Biochemistry, University of Veterinary Medicine, Vienna, Austria
- St. Anna Children’s Cancer Research Institute (CCRI), Vienna, Austria
| | - Marcus Buschbeck
- Cancer and Leukaemia Epigenetics and Biology Program, Josep Carreras Leukaemia Research Institute (IJC), Campus Can Ruti, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
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18
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Slack GW. Diagnostic, Prognostic, and Predictive Role of Next-Generation Sequencing in Mature Lymphoid Neoplasms. Surg Pathol Clin 2023; 16:433-442. [PMID: 37149368 DOI: 10.1016/j.path.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Lymphoma is a clinically and biologically heterogeneous disease. Next-generation sequencing (NGS) has expanded our understanding of this heterogeneity at the genetic level, refining disease classification, defining new entities, and providing additional information that can be used in diagnosis and management. This review highlights some of the NGS findings in lymphoma and how they can be used as genetic biomarkers to aid diagnosis and prognosis and guide therapy.
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19
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Bende RJ, Slot LM, Kwakkenbos MJ, Wormhoudt TA, Jongejan A, Verstappen GM, van Kampen AC, Guikema JE, Kroese FG, van Noesel CJ. Lymphoma-associated mutations in autoreactive memory B cells of patients with Sjögren's syndrome. J Pathol 2023; 259:264-275. [PMID: 36426826 PMCID: PMC10108009 DOI: 10.1002/path.6039] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 11/01/2022] [Accepted: 11/23/2022] [Indexed: 11/27/2022]
Abstract
We recently demonstrated that normal memory B lymphocytes carry a substantial number of de novo mutations in the genome. Here, we performed exome-wide somatic mutation analyses of bona fide autoreactive rheumatoid factor (RF)-expressing memory B cells retrieved from patients with Sjӧgren's syndrome (SS). The amount and repertoire of the de novo exome mutations of RF B cells were found to be essentially different from those detected in healthy donor memory B cells. In contrast to the mutation spectra of normal B cells, which appeared random and non-selected, the mutations of the RF B cells were greater in number and enriched for mutations in genes also found mutated in B-cell non-Hodgkin lymphomas. During the study, one of the SS patients developed a diffuse large B-cell lymphoma (DLBCL) out of an RF clone that was identified 2 years earlier in an inflamed salivary gland biopsy. The successive oncogenic events in the RF precursor clone and the DLBCL were assessed. In conclusion, our findings of enhanced and selected genomic damage in growth-regulating genes in RF memory B cells of SS patients together with the documented transformation of an RF-precursor clone into DLBCL provide unique novel insight into the earliest stages of B-cell derailment and lymphomagenesis. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Richard J Bende
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Lymphoma and Myeloma Center (LYMMCARE), Amsterdam, The Netherlands.,Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
| | - Linda M Slot
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Lymphoma and Myeloma Center (LYMMCARE), Amsterdam, The Netherlands.,Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
| | | | - Thera Am Wormhoudt
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Lymphoma and Myeloma Center (LYMMCARE), Amsterdam, The Netherlands.,Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
| | - Aldo Jongejan
- Bioinformatics Laboratory, Epidemiology & Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Gwenny M Verstappen
- Department of Rheumatology and Clinical Immunology, UMC Groningen, University of Groningen, Groningen, The Netherlands
| | - Antoine Cm van Kampen
- Bioinformatics Laboratory, Epidemiology & Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Biosystems Data analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Jeroen Ej Guikema
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Lymphoma and Myeloma Center (LYMMCARE), Amsterdam, The Netherlands.,Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
| | - Frans Gm Kroese
- Department of Rheumatology and Clinical Immunology, UMC Groningen, University of Groningen, Groningen, The Netherlands
| | - Carel Jm van Noesel
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Lymphoma and Myeloma Center (LYMMCARE), Amsterdam, The Netherlands.,Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
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20
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Wang F, Yang Y, Klionsky DJ, Malek SN. Mutations in V-ATPase in follicular lymphoma activate autophagic flux creating a targetable dependency. Autophagy 2023; 19:716-719. [PMID: 35482846 PMCID: PMC9851240 DOI: 10.1080/15548627.2022.2071382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 04/25/2022] [Accepted: 04/25/2022] [Indexed: 01/22/2023] Open
Abstract
The recent discovery of recurrent gene mutations in chaperones or components of the vacuolar-type H+-translocating ATPase (V-ATPase) in follicular lymphoma (FL) was an unexpected finding. The application of whole exome sequencing and targeted gene re-sequencing has resulted in the identification of mutations in ATP6AP1, ATP6V1B2 and VMA21 in a combined 30% of FL, together constituting a major novel mutated pathway in this disease. Interestingly, no other human hematological malignancy carries these mutations at more than sporadic occurrences, implicating unique aspects of FL biology requiring these mutations. The mutations in ATP6V1B2 and VMA21 through separate mechanisms impair lysosomal V-ATPase activity resulting in an elevated lysosomal pH. The elevated lysosomal pH impairs protein and peptide hydrolysis and associates with reduced cytoplasmic amino acid concentrations resulting in compensatory activation of autophagic flux. The elevated autophagic flux constitutes a survival dependency for FL cells and can be targeted with inhibitors to ULK1 and multiple recently identified cyclin-dependent kinase inhibitors. Targeting autophagy alone or in combination with other targeted therapies constitutes a novel therapeutic opportunity for FL patients.
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Affiliation(s)
- Fangyang Wang
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Ying Yang
- Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA
| | - Daniel J. Klionsky
- Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA
| | - Sami N. Malek
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, USA
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21
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Crouch S, Painter D, Barrans SL, Roman E, Beer PA, Cooke SL, Glover P, Van Hoppe SJ, Webster N, Lacy SE, Ruiz C, Campbell PJ, Hodson DJ, Patmore R, Burton C, Smith A, Tooze RM. Molecular subclusters of follicular lymphoma: a report from the United Kingdom's Haematological Malignancy Research Network. Blood Adv 2022; 6:5716-5731. [PMID: 35363872 PMCID: PMC9619185 DOI: 10.1182/bloodadvances.2021005284] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 03/06/2022] [Indexed: 11/20/2022] Open
Abstract
Follicular lymphoma (FL) is morphologically and clinically diverse, with mutations in epigenetic regulators alongside t(14;18) identified as disease-initiating events. Identification of additional mutational entities confirms this cancer's heterogeneity, but whether mutational data can be resolved into mechanistically distinct subsets remains an open question. Targeted sequencing was applied to an unselected population-based FL cohort (n = 548) with full clinical follow-up (n = 538), which included 96 diffuse large B-cell lymphoma (DLBCL) transformations. We investigated whether molecular subclusters of FL can be identified and whether mutational data provide predictive information relating to transformation. DNA extracted from FL samples was sequenced with a 293-gene panel representing genes frequently mutated in DLBCL and FL. Three clusters were resolved using mutational data alone, independent of translocation status: FL_aSHM, with high burden of aberrant somatic hypermutation (aSHM) targets; FL_STAT6, with high STAT6 & CREBBP mutation and low aSHM; and FL_Com, with the absence of features of other subtypes and enriched KMT2D mutation. Analysis of mutation signatures demonstrated differential enrichment of predicted mutation signatures between subgroups and a dominant preference in the FL_aSHM subgroup for G(C>T)T and G(C>T)C transitions consistent with previously defined aSHM-like patterns. Of transformed cases with paired samples, 17 of 26 had evidence of branching evolution. Poorer overall survival (OS) in the aSHM group (P = .04) was associated with older age; however, overall tumor genetics provided limited information to predict individual patient risk. Our approach identifies 3 molecular subclusters of FL linked to differences in underlying mechanistic pathways. These clusters, which may be further resolved by the inclusion of translocation status and wider mutation profiles, have implications for understanding pathogenesis as well as improving treatment strategies in the future.
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Affiliation(s)
- Simon Crouch
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Daniel Painter
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Sharon L. Barrans
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Eve Roman
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Philip A. Beer
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom
| | - Susanna L. Cooke
- Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Paul Glover
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Suzan J.L. Van Hoppe
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Nichola Webster
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Stuart E. Lacy
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Camilo Ruiz
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom
| | | | - Daniel J. Hodson
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Russell Patmore
- Queen’s Centre for Oncology and Haematology, Castle Hill Hospital, Cottingham, United Kingdom
| | - Cathy Burton
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Alexandra Smith
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Reuben M. Tooze
- Section of Experimental Haematology, Leeds Institute of Molecular Medicine, University of Leeds, Leeds, United Kingdom
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22
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Grzelak L, Roesch F, Vaysse A, Biton A, Legendre R, Porrot F, Commère PH, Planchais C, Mouquet H, Vignuzzi M, Bruel T, Schwartz O. IRF8 regulates efficacy of therapeutic anti-CD20 monoclonal antibodies. Eur J Immunol 2022; 52:1648-1661. [PMID: 36030374 DOI: 10.1002/eji.202250037] [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: 06/07/2022] [Revised: 07/29/2022] [Accepted: 08/25/2022] [Indexed: 12/14/2022]
Abstract
Anti-CD20 monoclonal antibodies such as Rituximab, Ofatumumab, and Obinutuzumab are widely used to treat lymphomas and autoimmune diseases. They act by depleting B cells, mainly through Fc-dependent effectors functions. Some patients develop resistance to treatment but the underlying mechanisms are poorly understood. Here, we performed a genome-wide CRISPR/Cas9 screen to identify genes regulating the efficacy of anti-CD20 antibodies. We used as a model the killing of RAJI B cells by Rituximab through complement-dependent-cytotoxicity (CDC). As expected, the screen identified MS4A1, encoding CD20, the target of Rituximab. Among other identified genes, the role of Interferon Regulatory Factor 8 (IRF8) was validated in two B-cell lines. IRF8 KO also decreased the efficacy of antibody-dependent cellular cytotoxicity and phagocytosis (ADCC and ADCP) induced by anti-CD20 antibodies. We further show that IRF8 is necessary for efficient CD20 transcription. Levels of IRF8 and CD20 RNA or proteins correlated in normal B cells and in hundreds of malignant B cells. Therefore, IRF8 regulates CD20 expression and controls the depleting capacity of anti-CD20 antibodies. Our results bring novel insights into the pathways underlying resistance to CD20-targeting immunotherapies.
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Affiliation(s)
- Ludivine Grzelak
- Unité Virus et Immunité, Département de Virologie, Institut Pasteur & Université Paris Cité, Paris, France.,École Doctorale Bio Sorbonne Paris Cité (BioSPC), Université Paris Cité, France
| | | | - Amaury Vaysse
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, France
| | - Anne Biton
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, France
| | - Rachel Legendre
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, France
| | - Françoise Porrot
- Unité Virus et Immunité, Département de Virologie, Institut Pasteur & Université Paris Cité, Paris, France
| | | | - Cyril Planchais
- Laboratoire Immunologie Humorale, Institut Pasteur, Paris, France
| | - Hugo Mouquet
- Laboratoire Immunologie Humorale, Institut Pasteur, Paris, France
| | - Marco Vignuzzi
- Unité des Populations virales et pathogenèse, Département de Virologie, Institut Pasteur, Paris, France
| | - Timothée Bruel
- Unité Virus et Immunité, Département de Virologie, Institut Pasteur & Université Paris Cité, Paris, France
| | - Olivier Schwartz
- Unité Virus et Immunité, Département de Virologie, Institut Pasteur & Université Paris Cité, Paris, France
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23
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Portillo-Ledesma S, Wagley M, Schlick T. Chromatin transitions triggered by LH density as epigenetic regulators of the genome. Nucleic Acids Res 2022; 50:10328-10342. [PMID: 36130289 PMCID: PMC9561278 DOI: 10.1093/nar/gkac757] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/26/2022] [Accepted: 09/02/2022] [Indexed: 11/14/2022] Open
Abstract
Motivated by experiments connecting linker histone (LH) deficiency to lymphoma progression and retinal disorders, we study by mesoscale chromatin modeling how LH density (ρ) induces gradual, as well sudden, changes in chromatin architecture and how the process depends on DNA linker length, LH binding dynamics and binding mode, salt concentration, tail modifications, and combinations of ρ and linker DNA length. We show that ρ tightly regulates the overall shape and compaction of the fiber, triggering a transition from an irregular disordered state to a compact and ordered structure. Such a structural transition, resembling B to A compartment transition connected with lymphoma of B cells, appears to occur around ρ = 0.5. The associated mechanism is DNA stem formation by LH binding, which is optimal when the lengths of the DNA linker and LH C-terminal domain are similar. Chromatin internal and external parameters are key regulators, promoting or impeding the transition. The LH density thus emerges as a critical tunable variable in controlling cellular functions through structural transitions of the genome.
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Affiliation(s)
- Stephanie Portillo-Ledesma
- Department of Chemistry, New York University, 1001 Silver, 100 Washington Square East, New York, NY 10003, USA
| | - Meghna Wagley
- Department of Chemistry, New York University, 1001 Silver, 100 Washington Square East, New York, NY 10003, USA
| | - Tamar Schlick
- Department of Chemistry, New York University, 1001 Silver, 100 Washington Square East, New York, NY 10003, USA.,New York University-East China Normal University Center for Computational Chemistry at New York University Shanghai, Room 340, Geography Building, 3663 North Zhongshan Road, Shanghai 200062, China.,Courant Institute of Mathematical Sciences, New York University, 251 Mercer St, New York, NY 10012, USA.,Simons Center for Computational Physical Chemistry, 24 Waverly Place, Silver Building, New York University, New York, NY 10003 USA
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24
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Mitchener MM, Muir TW. Oncohistones: Exposing the nuances and vulnerabilities of epigenetic regulation. Mol Cell 2022; 82:2925-2938. [PMID: 35985302 PMCID: PMC9482148 DOI: 10.1016/j.molcel.2022.07.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/20/2022] [Accepted: 07/14/2022] [Indexed: 12/19/2022]
Abstract
Work over the last decade has uncovered a new layer of epigenetic dysregulation. It is now appreciated that somatic missense mutations in histones, the packaging agents of genomic DNA, are often associated with human pathologies, especially cancer. Although some of these "oncohistone" mutations are thought to be key drivers of cancer, the impacts of the majority of them on disease onset and progression remain to be elucidated. Here, we survey this rapidly expanding research field with particular emphasis on how histone mutants, even at low dosage, can corrupt chromatin states. This work is unveiling the remarkable intricacies of epigenetic control mechanisms. Throughout, we highlight how studies of oncohistones have leveraged, and in some cases fueled, the advances in our ability to manipulate and interrogate chromatin at the molecular level.
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Affiliation(s)
| | - Tom W Muir
- Department of Chemistry, Princeton University, Princeton, NJ 08544, USA.
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25
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Bühler MM, Martin‐Subero JI, Pan‐Hammarström Q, Campo E, Rosenquist R. Towards precision medicine in lymphoid malignancies. J Intern Med 2022; 292:221-242. [PMID: 34875132 PMCID: PMC11497354 DOI: 10.1111/joim.13423] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Careful histopathologic examination remains the cornerstone in the diagnosis of the clinically and biologically heterogeneous group of lymphoid malignancies. However, recent advances in genomic and epigenomic characterization using high-throughput technologies have significantly improved our understanding of these tumors. Although no single genomic alteration is completely specific for a lymphoma entity, some alterations are highly recurrent in certain entities and thus can provide complementary diagnostic information when integrated in the hematopathological diagnostic workup. Moreover, other alterations may provide important information regarding the clinical course, that is, prognostic or risk-stratifying markers, or response to treatment, that is, predictive markers, which may allow tailoring of the patient's treatment based on (epi)genetic characteristics. In this review, we will focus on clinically relevant diagnostic, prognostic, and predictive biomarkers identified in more common types of B-cell malignancies, and discuss how diagnostic assays designed for comprehensive molecular profiling may pave the way for the implementation of precision diagnostics/medicine approaches. We will also discuss future directions in this rapidly evolving field, including the application of single-cell sequencing and other omics technologies, to decipher clonal dynamics and evolution in lymphoid malignancies.
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Affiliation(s)
- Marco M. Bühler
- Department of Pathology and Molecular PathologyUniversity Hospital of ZurichZurichSwitzerland
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
- Hematopathology SectionLaboratory of PathologyHospital Clínic de BarcelonaUniversity of BarcelonaBarcelonaSpain
| | - José I. Martin‐Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
- Hematopathology SectionLaboratory of PathologyHospital Clínic de BarcelonaUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomedica en Red de Cancer (CIBERONC)MadridSpain
- Institució Catalana de Recerca i Estudis Avançats (ICREA)BarcelonaSpain
| | | | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
- Hematopathology SectionLaboratory of PathologyHospital Clínic de BarcelonaUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomedica en Red de Cancer (CIBERONC)MadridSpain
| | - Richard Rosenquist
- Department of Molecular Medicine and SurgeryKarolinska InstitutetStockholmSweden
- Clinical GeneticsKarolinska University LaboratoryKarolinska University HospitalSolnaSweden
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26
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Wang F, Yang Y, Boudagh G, Eskelinen EL, Klionsky DJ, Malek SN. Follicular lymphoma-associated mutations in the V-ATPase chaperone VMA21 activate autophagy creating a targetable dependency. Autophagy 2022; 18:1982-2000. [PMID: 35287545 PMCID: PMC9450968 DOI: 10.1080/15548627.2022.2050663] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 02/22/2022] [Accepted: 03/03/2022] [Indexed: 11/02/2022] Open
Abstract
The discovery of recurrent mutations in subunits and regulators of the vacuolar-type H+-translocating ATPase (V-ATPase) in follicular lymphoma (FL) highlights a role for macroautophagy/autophagy, amino-acid, and nutrient-sensing pathways in the pathogenesis of this disease. Here, we report on novel mutations in the ER-resident chaperone VMA21, which is involved in V-ATPase assembly in 12% of FL. Mutations in a novel VMA21 hotspot (p.93X) result in the removal of a C-terminal non-canonical ER retrieval signal thus causing VMA21 mislocalization to lysosomes. The resulting impairment in V-ATPase activity prevents full lysosomal acidification and function, including impaired pH-dependent protein degradation as shown via lysosomal metabolomics and ultimately causes a degree of amino acid depletion in the cytoplasm. These deficiencies result in compensatory autophagy activation, as measured using multiple complementary assays in human and yeast cells. Of translational significance, the compensatory activation of autophagy creates a dependency for survival for VMA21-mutated primary human FL as shown using inhibitors to ULK1, the proximal autophagy-regulating kinase. Using high-throughput microscopy-based screening assays for autophagy-inhibiting compounds, we identify multiple clinical grade cyclin-dependent kinase inhibitors as promising drugs and thus provide new rationale for innovative clinical trials in FL harboring aberrant V-ATPase.Abbreviations: ALs: autolysosomes; APs: autophagosomes; ER: endoplasmic reticulum; FL: follicular lymphoma; GFP: green fluorescent protein; IP: immunoprecipitation; LE/LY: late endosomes/lysosomes; Lyso-IP: lysosomal immunoprecipitation; OST: oligosaccharide transferase; prApe1: precursor aminopeptidase I; SEP: super ecliptic pHluorin; V-ATPase: vacuolar-type H+-translocating ATPase.
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Affiliation(s)
- Fangyang Wang
- Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Ying Yang
- Departments of Molecular, Cellular and Developmental Biology, and Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA
| | - Gabriel Boudagh
- Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, USA
| | | | - Daniel J. Klionsky
- Departments of Molecular, Cellular and Developmental Biology, and Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA
| | - Sami N. Malek
- Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, USA
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27
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Hatipoğlu T, Esmeray Sönmez E, Hu X, Yuan H, Danyeli AE, Şeyhanlı A, Önal-Süzek T, Zhang W, Akman B, Olgun A, Özkal S, Alacacıoğlu İ, Özcan MA, You H, Küçük C. Plasma Concentrations and Cancer-Associated Mutations in Cell-Free Circulating DNA of Treatment-Naive Follicular Lymphoma for Improved Non-Invasive Diagnosis and Prognosis. Front Oncol 2022; 12:870487. [PMID: 35795062 PMCID: PMC9252432 DOI: 10.3389/fonc.2022.870487] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 05/02/2022] [Indexed: 12/14/2022] Open
Abstract
Follicular lymphoma (FL) is the second most frequent non-Hodgkin lymphoma accounting for 10-20% of all lymphomas in western countries. As a clinically heterogeneous cancer, FL occasionally undergoes histological transformation to more aggressive B cell lymphoma types that are associated with poor prognosis. Here we evaluated the potential of circulating cell-free DNA (cfDNA) to improve the diagnosis and prognosis of follicular lymphoma patients. Twenty well-characterized FL cases (13 symptomatic and 7 asymptomatic) were prospectively included in this study. Plasma cfDNA, formalin-fixed paraffin-embedded (FFPE) tumor tissue DNA, and patient-matched granulocyte genomic DNA samples were obtained from 20 treatment-naive FL cases. Ultra-deep targeted next-generation sequencing was performed with these DNA samples by using a custom-designed platform including exons and exon-intron boundaries of 110 FL related genes. Using a strict computational bioinformatics pipeline, we identified 91 somatic variants in 31 genes in treatment-naive FL cases. Selected variants were cross-validated by using PCR-Sanger sequencing. We observed higher concentrations of cfDNA and a higher overlap of somatic variants present both in cfDNA and tumor tissue DNA in symptomatic FL cases compared to asymptomatic ones. Variants known to be associated with FL pathogenesis such as STAT6 p.D419 or EZH2 p.Y646 were observed in patient-matched cfDNA and tumor tissue samples. Consistent with previous observations, high Ki-67 staining, elevated LDH levels, FDG PET/CT positivity were associated with poor survival. High plasma cfDNA concentrations or the presence of BCL2 mutations in cfDNA showed significant association with poor survival in treatment-naive patients. BCL2 mutation evaluations in cfDNA improved the prognostic utility of previously established variables. In addition, we observed that a FL patient who had progressive disease contained histological transformation-associated gene (i.e. B2M and BTG1) mutations only in cfDNA. Pre-treatment concentrations and genotype of plasma cfDNA may be used as a liquid biopsy to improve diagnosis, risk stratification, and prediction of histological transformation. Targeted therapies related to oncogenic mutations may be applied based on cfDNA genotyping results. However, the results of this study need to be validated in a larger cohort of FL patients as the analyses conducted in this study have an exploratory nature.
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Affiliation(s)
- Tevfik Hatipoğlu
- İzmir Biomedicine and Genome Center, İzmir, Turkey
- İzmir International Biomedicine and Genome Institute, Dokuz Eylül University, İzmir, Turkey
| | - Esra Esmeray Sönmez
- İzmir Biomedicine and Genome Center, İzmir, Turkey
- İzmir International Biomedicine and Genome Institute, Dokuz Eylül University, İzmir, Turkey
| | - Xiaozhou Hu
- İzmir Biomedicine and Genome Center, İzmir, Turkey
- İzmir International Biomedicine and Genome Institute, Dokuz Eylül University, İzmir, Turkey
| | - Hongling Yuan
- İzmir International Biomedicine and Genome Institute, Dokuz Eylül University, İzmir, Turkey
| | - Ayça Erşen Danyeli
- Department of Pathology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey
| | - Ahmet Şeyhanlı
- Department of Hematology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey
| | - Tuğba Önal-Süzek
- Department of Bioinformatics, Graduate School of Natural and Applied Sciences, Muğla Sıtkı Koçman University, Muğla, Turkey
| | - Weiwei Zhang
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, United States
| | - Burcu Akman
- İzmir Biomedicine and Genome Center, İzmir, Turkey
- İzmir International Biomedicine and Genome Institute, Dokuz Eylül University, İzmir, Turkey
| | - Aybüke Olgun
- Department of Hematology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey
| | - Sermin Özkal
- Department of Pathology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey
| | - İnci Alacacıoğlu
- Department of Hematology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey
| | - Mehmet Ali Özcan
- Department of Hematology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey
| | - Hua You
- Department of Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
- *Correspondence: Can Küçük, ; Hua You,
| | - Can Küçük
- İzmir Biomedicine and Genome Center, İzmir, Turkey
- İzmir International Biomedicine and Genome Institute, Dokuz Eylül University, İzmir, Turkey
- Department of Medical Biology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey
- *Correspondence: Can Küçük, ; Hua You,
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Joshi K, Liu S, Breslin S J P, Zhang J. Mechanisms that regulate the activities of TET proteins. Cell Mol Life Sci 2022; 79:363. [PMID: 35705880 DOI: 10.1007/s00018-022-04396-x] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/16/2022] [Accepted: 05/23/2022] [Indexed: 02/08/2023]
Abstract
The ten-eleven translocation (TET) family of dioxygenases consists of three members, TET1, TET2, and TET3. All three TET enzymes have Fe+2 and α-ketoglutarate (α-KG)-dependent dioxygenase activities, catalyzing the 1st step of DNA demethylation by converting 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC), and further oxidize 5hmC to 5-formylcytosine (5fC) and 5-carboxylcytosine (5caC). Gene knockout studies demonstrated that all three TET proteins are involved in the regulation of fetal organ generation during embryonic development and normal tissue generation postnatally. TET proteins play such roles by regulating the expression of key differentiation and fate-determining genes via (1) enzymatic activity-dependent DNA methylation of the promoters and enhancers of target genes; and (2) enzymatic activity-independent regulation of histone modification. Interacting partner proteins and post-translational regulatory mechanisms regulate the activities of TET proteins. Mutations and dysregulation of TET proteins are involved in the pathogenesis of human diseases, specifically cancers. Here, we summarize the research on the interaction partners and post-translational modifications of TET proteins. We also discuss the molecular mechanisms by which these partner proteins and modifications regulate TET functioning and target gene expression. Such information will help in the design of medications useful for targeted therapy of TET-mutant-related diseases.
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Affiliation(s)
- Kanak Joshi
- Department of Cancer Biology, Oncology Institute, Cardinal Bernardin Cancer Center, Loyola University Medical Center, Maywood, IL, 60153, USA
| | - Shanhui Liu
- School of Life Sciences, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Peter Breslin S J
- Department of Cancer Biology, Oncology Institute, Cardinal Bernardin Cancer Center, Loyola University Medical Center, Maywood, IL, 60153, USA.,Departments of Molecular/Cellular Physiology and Biology, Loyola University Medical Center and Loyola University Chicago, Chicago, IL, 60660, USA
| | - Jiwang Zhang
- Department of Cancer Biology, Oncology Institute, Cardinal Bernardin Cancer Center, Loyola University Medical Center, Maywood, IL, 60153, USA. .,Departments of Pathology and Radiation Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA.
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29
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López C, Schleussner N, Bernhart SH, Kleinheinz K, Sungalee S, Sczakiel HL, Kretzmer H, Toprak UH, Glaser S, Wagener R, Ammerpohl O, Bens S, Giefing M, González Sánchez JC, Apic G, Hübschmann D, Janz M, Kreuz M, Mottok A, Müller JM, Seufert J, Hoffmann S, Korbel JO, Russell RB, Schüle R, Trümper L, Klapper W, Radlwimmer B, Lichter P, Küppers R, Schlesner M, Mathas S, Siebert R. Focal structural variants revealed by whole genome sequencing disrupt the histone demethylase KDM4C in B-cell lymphomas. Haematologica 2022; 108:543-554. [PMID: 35522148 PMCID: PMC9890021 DOI: 10.3324/haematol.2021.280005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Indexed: 02/03/2023] Open
Abstract
Histone methylation-modifiers, such as EZH2 and KMT2D, are recurrently altered in B-cell lymphomas. To comprehensively describe the landscape of alterations affecting genes encoding histone methylation-modifiers in lymphomagenesis we investigated whole genome and transcriptome data of 186 mature B-cell lymphomas sequenced in the ICGC MMML-Seq project. Besides confirming common alterations of KMT2D (47% of cases), EZH2 (17%), SETD1B (5%), PRDM9 (4%), KMT2C (4%), and SETD2 (4%), also identified by prior exome or RNA-sequencing studies, we here found recurrent alterations to KDM4C in chromosome 9p24, encoding a histone demethylase. Focal structural variation was the main mechanism of KDM4C alterations, and was independent from 9p24 amplification. We also identified KDM4C alterations in lymphoma cell lines including a focal homozygous deletion in a classical Hodgkin lymphoma cell line. By integrating RNA-sequencing and genome sequencing data we predict that KDM4C structural variants result in loss-offunction. By functional reconstitution studies in cell lines, we provide evidence that KDM4C can act as a tumor suppressor. Thus, we show that identification of structural variants in whole genome sequencing data adds to the comprehensive description of the mutational landscape of lymphomas and, moreover, establish KDM4C as a putative tumor suppressive gene recurrently altered in subsets of B-cell derived lymphomas.
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Affiliation(s)
- Cristina López
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany,*CL and NS contributed equally as co-first authors
| | - Nikolai Schleussner
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany,Hematology, Oncology and Tumor Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany, and Experimental and Clinical Research Center, a joint cooperation between the MDC and the Charité, Berlin, Germany,*CL and NS contributed equally as co-first authors
| | - Stephan H. Bernhart
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany,Bioinformatics Group, Department of Computer, University of Leipzig, Leipzig, Germany,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Kortine Kleinheinz
- Department for Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology and Bioquant, University of Heidelberg, Heidelberg, Germany
| | | | - Henrike L. Sczakiel
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany,Hematology, Oncology and Tumor Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany, and Experimental and Clinical Research Center, a joint cooperation between the MDC and the Charité, Berlin, Germany
| | - Helene Kretzmer
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany,Bioinformatics Group, Department of Computer, University of Leipzig, Leipzig, Germany,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany,Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Umut H. Toprak
- Bioinformatics and Omics Data Analytics (B240), German Cancer Research Center (DKFZ), Heidelberg, Germany,Faculty of Biosciences, Heidelberg University, Heidelberg, Germany,Hopp-Children’s Cancer Center at the NCT Heidelberg (KiTZ), Division of Neuroblastoma Genomics (B087), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Selina Glaser
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Rabea Wagener
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Ole Ammerpohl
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Susanne Bens
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Maciej Giefing
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany,Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland
| | | | - Gordana Apic
- BioQuant and Biochemie Zentrum Heidelberg (BZH), Heidelberg University, Heidelberg, Germany
| | - Daniel Hübschmann
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Department for Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology and Bioquant, University of Heidelberg, Heidelberg, Germany,German Cancer Consortium (DKTK), Heidelberg, Germany,Heidelberg Institute of Stem Cell Technology and Experimental Medicine (HI-STEM), Heidelberg, Germany
| | - Martin Janz
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany,Hematology, Oncology and Tumor Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany, and Experimental and Clinical Research Center, a joint cooperation between the MDC and the Charité, Berlin, Germany
| | - Markus Kreuz
- Institute for Medical Informatics Statistics and Epidemiology, Leipzig, Germany
| | - Anja Mottok
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Judith M. Müller
- Klinik fur Urologie und Zentrale Klinische Forschung, Klinikum der Albert-Ludwigs-Universität Freiburg, Freiburg, Germany
| | - Julian Seufert
- Bioinformatics and Omics Data Analytics (B240), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Steve Hoffmann
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany,Bioinformatics Group, Department of Computer, University of Leipzig, Leipzig, Germany,Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany,Leibniz Institute on Ageing-Fritz Lipmann Institute (FLI), Computational Biology, Jena, Germany
| | - Jan O. Korbel
- EMBL Heidelberg, Genome Biology Unit, Heidelberg,, Germany
| | - Robert B. Russell
- BioQuant and Biochemie Zentrum Heidelberg (BZH), Heidelberg University, Heidelberg, Germany
| | - Roland Schüle
- Klinik fur Urologie und Zentrale Klinische Forschung, Klinikum der Albert-Ludwigs-Universität Freiburg, Freiburg, Germany,BIOSS Centre of Biological Signalling Studies, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Lorenz Trümper
- Department of Hematology and Oncology, Georg-August-University of Göttingen, Göttingen, Germany
| | - Wolfram Klapper
- Hematopathology Section, Christian-Albrechts-University, Kiel, Germany
| | - Bernhard Radlwimmer
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Lichter
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ralf Küppers
- Institute of Cell Biology (Cancer Research), University of Duisburg-Essen, Essen, Germany, and German Cancer Consortium (DKTK)
| | - Matthias Schlesner
- Bioinformatics and Omics Data Analytics (B240), German Cancer Research Center (DKFZ), Heidelberg, Germany,Biomedical Informatics, Data Mining and Data Analytics, Augsburg University, Augsburg, Germany
| | - Stephan Mathas
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany,Hematology, Oncology and Tumor Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany, and Experimental and Clinical Research Center, a joint cooperation between the MDC and the Charité, Berlin, Germany,SM and RS contributed equally as co-senior authors
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany,Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany,SM and RS contributed equally as co-senior authors
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Abstract
Chromatin dysfunction has been implicated in a growing number of cancers especially in children and young adults. In addition to chromatin modifying and remodeling enzymes, mutations in histone genes are linked to human cancers. Since the first reports of hotspot missense mutations affecting key residues at histone H3 tail, studies have revealed how these so-called "oncohistones" dominantly (H3K27M and H3K36M) or locally (H3.3G34R/W) inhibit corresponding histone methyltransferases and misregulate epigenome and transcriptome to promote tumorigenesis. More recently, widespread mutations in all four core histones are identified in diverse cancer types. Furthermore, an "oncohistone-like" protein EZHIP has been implicated in driving childhood ependymomas through a mechanism highly reminiscent of H3K27M mutation. We will review recent progresses on understanding the biochemical, molecular and biological mechanisms underlying the canonical and novel histone mutations. Importantly, these mechanistic insights have identified therapeutic opportunities for oncohistone-driven tumors.
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Affiliation(s)
- Varun Sahu
- Department of Genetics and Development and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Chao Lu
- Department of Genetics and Development and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA,Corresponding author: Chao Lu:
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31
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Zhuang Y, Che J, Wu M, Guo Y, Xu Y, Dong X, Yang H. Altered pathways and targeted therapy in double hit lymphoma. J Hematol Oncol 2022; 15:26. [PMID: 35303910 PMCID: PMC8932183 DOI: 10.1186/s13045-022-01249-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/07/2022] [Indexed: 12/20/2022] Open
Abstract
High-grade B-cell lymphoma with translocations involving MYC and BCL2 or BCL6, usually referred to as double hit lymphoma (DHL), is an aggressive hematological malignance with distinct genetic features and poor clinical prognosis. Current standard chemoimmunotherapy fails to confer satisfying outcomes and few targeted therapeutics are available for the treatment against DHL. Recently, the delineating of the genetic landscape in tumors has provided insight into both biology and targeted therapies. Therefore, it is essential to understand the altered signaling pathways of DHL to develop treatment strategies with better clinical benefits. Herein, we summarized the genetic alterations in the two DHL subtypes (DHL-BCL2 and DHL-BCL6). We further elucidate their implications on cellular processes, including anti-apoptosis, epigenetic regulations, B-cell receptor signaling, and immune escape. Ongoing and potential therapeutic strategies and targeted drugs steered by these alterations were reviewed accordingly. Based on these findings, we also discuss the therapeutic vulnerabilities that coincide with these genetic changes. We believe that the understanding of the DHL studies will provide insight into this disease and capacitate the finding of more effective treatment strategies.
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Affiliation(s)
- Yuxin Zhuang
- Department of Lymphoma, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, People’s Republic of China
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, People’s Republic of China
| | - Jinxin Che
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, People’s Republic of China
- Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Hangzhou, People’s Republic of China
| | - Meijuan Wu
- Department of Pathology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, People’s Republic of China
| | - Yu Guo
- Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Hangzhou, People’s Republic of China
| | - Yongjin Xu
- Department of Lymphoma, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, People’s Republic of China
| | - Xiaowu Dong
- Hangzhou Institute of Innovative Medicine, Institute of Drug Discovery and Design, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, People’s Republic of China
- Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Hangzhou, People’s Republic of China
- Cancer Center, Zhejiang University, Hangzhou, People’s Republic of China
| | - Haiyan Yang
- Department of Lymphoma, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, People’s Republic of China
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32
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Mondello P, Ansell SM, Nowakowski GS. Immune Epigenetic Crosstalk Between Malignant B Cells and the Tumor Microenvironment in B Cell Lymphoma. Front Genet 2022; 13:826594. [PMID: 35237302 PMCID: PMC8883034 DOI: 10.3389/fgene.2022.826594] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 01/24/2022] [Indexed: 12/22/2022] Open
Abstract
Epigenetic reprogramming is a hallmark of lymphomagenesis, however its role in reshaping the tumor microenvironment is still not well understood. Here we review the most common chromatin modifier mutations in B cell lymphoma and their effect on B cells as well as on T cell landscape. We will also discuss precision therapy strategies to reverse their aberrant signaling by targeting mutated proteins or counterbalance epigenetic mechanisms.
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33
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Amin R, Braza MS. The follicular lymphoma epigenome regulates its microenvironment. J Exp Clin Cancer Res 2022; 41:21. [PMID: 35022084 PMCID: PMC8753841 DOI: 10.1186/s13046-021-02234-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 12/21/2021] [Indexed: 11/10/2022] Open
Abstract
Follicular lymphoma (FL) is a B-cell non-Hodgkin lymphoma of germinal center (GC) origin with a distinctive tumor microenvironment (TME) and a unique spectrum of mutations. Despite the important therapeutic advances, FL is still incurable. During B-cell development, the GC reaction is a complex multistep process in which epigenetic regulators dynamically induce or suppress transcriptional programs. In FL, epigenetic gene mutations perturb the regulation of these programs, changing GC B-cell function and skewing differentiation towards tumor cells and altering the microenvironment interactions. FL pathogenesis and malignant transformation are promoted by epigenetic reprogramming of GC B cells that alters the immunological synapse and niche. Despite the extensive characterization of FL epigenetic signature and TME, the functional consequences of epigenetic dysregulation on TME and niche plasticity need to be better characterized. In this review, first we describe the most frequent epigenomic alterations in FL (KMT2D, CREBBP and EZH2) that affect the immunological niche, and their potential consequences on the informational transfer between tumor B cells and their microenvironment. Then, we discuss the latest progress to harness epigenetic targets for inhibiting the FL microenvironment. Finally, we highlight unexplored research areas and outstanding questions that should be considered for a successful long-term treatment of FL.
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Affiliation(s)
- Rada Amin
- Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
| | - Mounia S Braza
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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34
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Gibson SE, Liu YC, Yatsenko SA, Barasch NJ, Swerdlow SH. Histopathologic, immunophenotypic, and mutational landscape of follicular lymphomas with plasmacytic differentiation. Mod Pathol 2022; 35:60-68. [PMID: 34601504 DOI: 10.1038/s41379-021-00938-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 12/24/2022]
Abstract
Follicular lymphomas with plasmacytic differentiation (FL-PCD) include two major subtypes: one with predominantly interfollicular PCD that usually harbors a BCL2 rearrangement (BCL2-R), and a second that has predominantly intrafollicular PCD and the frequent absence of a BCL2-R. It is proposed that these latter cases share some features with marginal zone lymphomas (MZL). To further explore this hypothesis in an expanded cohort of FL-PCD, a clinicopathologic investigation of 25 such cases was undertaken including an analysis of their mutational landscape. The 10 interfollicular FL-PCDs exhibited typical intrafollicular centrocytes/centroblasts (90%), CD10 expression (90%), full PCD including expression of CD138 by the plasma cells (PC) (100%), and PCs with class-switched immunoglobulin heavy chains (70%). These cases were BCL2-R positive (100%), BCL6-R positive in 30%, lacked extra BCL2 copies, and only 22% had extra copies of BCL6. Similar to classic FLs, 80% of interfollicular FL-PCDs harbored mutations in epigenetic regulators KMT2D (70%), CREBBP (40%), and/or EZH2 (30%). In contrast, only 45% of 11 intrafollicular FL-PCDs demonstrated typical intrafollicular centrocytes/centroblasts, 55% were CD10(-), 80% contained IgM+ PCs, and only 27% harbored BCL2-Rs. BCL6-Rs were identified in 27% of intrafollicular FL-PCD, while 60% showed extra copies of BCL2 and 50% extra copies of BCL6, consistent with complete or partial trisomies of chromosomes 18 and 3, respectively. Only 54% of intrafollicular FL-PCDs showed mutations in epigenetic regulators. Both subtypes showed mutational differences compared to classic FL, but only the interfollicular subtype showed differences from what is reported for nodal MZL. Four additional cases showed mixed intra- and interfollicular PCD. These results suggest that FL-PCD has some distinctive features and supports the existence of two major subtypes. The interfollicular PCD subtype shares many features with classic FL. The intrafollicular FL-PCDs are more heterogeneous, have differences from classic FL, and have a greater morphologic, immunophenotypic, and genetic overlap with MZL.
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Affiliation(s)
- Sarah E Gibson
- Mayo Clinic Arizona, Phoenix, AZ, USA. .,University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. .,University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.
| | - Yen-Chun Liu
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.,St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Svetlana A Yatsenko
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Nicholas J Barasch
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.,Columbia University Medical Center, New York, NY, USA
| | - Steven H Swerdlow
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
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35
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Balasubramanian S, Hodkinson B, Schuster SJ, Fowler NH, Trotman J, Hess G, Cheson BD, Schaffer M, Sun S, Deshpande S, Vermeulen J, Salles G, Gopal AK. Identification of a genetic signature enriching for response to ibrutinib in relapsed/refractory follicular lymphoma in the DAWN phase 2 trial. Cancer Med 2021; 11:61-73. [PMID: 34791836 PMCID: PMC8704158 DOI: 10.1002/cam4.4422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 09/13/2021] [Accepted: 10/26/2021] [Indexed: 11/08/2022] Open
Abstract
Background The single‐arm DAWN trial (NCT01779791) of ibrutinib monotherapy in patients with relapsed/refractory follicular lymphoma (FL) showed an overall response rate (ORR) of 20.9% and a median response duration of 19.4 months. This biomarker analysis of the DAWN dataset sought to determine genetic classifiers for prediction of response to ibrutinib treatment. Methods Whole exome sequencing was performed on baseline tumor samples. Potential germline variants were excluded; a custom set of 1216 cancer‐related genes was examined. Responder‐ versus nonresponder‐associated variants were identified using Fisher's exact test. Classifiers with increasing numbers of genes were created using a greedy algorithm that repeatedly selected genes, adding the most nonresponders to the existing “predicted nonresponders” set and were evaluated with 10‐fold cross‐validation. Results Exome data were generated from 88 patient samples and 13,554 somatic mutation variants were inferred. Response data were available for 83 patients (17 responders, 66 nonresponders). Each sample showed 100 to >500 mutated genes, with greater variance across nonresponders. The overall variant pattern was consistent with previous FL studies; 75 genes had mutations in >10% of patients, including genes previously reported as associated with FL. Univariate analysis yielded responder‐associated genes FANCA, HISTH1B, ANXA6, BTG1, and PARP10, highlighting the importance of functions outside of B‐cell receptor signaling, including epigenetic processes, DNA damage repair, cell cycle/proliferation, and cell motility/invasiveness. While nonresponder‐associated genes included well‐known TP53 and CARD11, genetic classifiers developed using nonresponder‐associated genes included ATP6AP1, EP400, ARID1A, SOCS1, and TBL1XR1, suggesting resistance to ibrutinib may be related to broad biological functions connected to epigenetic modification, telomere maintenance, and cancer‐associated signaling pathways (mTOR, JAK/STAT, NF‐κB). Conclusion The results from univariate and genetic classifier analyses provide insights into genes associated with response or resistance to ibrutinib in FL and identify a classifier developed using nonresponder‐associated genes, which warrants further investigation. Trial registration: NCT01779791.
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Affiliation(s)
| | | | - Stephen J Schuster
- Lymphoma Program, Abramson Cancer Center of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nathan H Fowler
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Judith Trotman
- Haematology Department, Concord Hospital, University of Sydney, Sydney, New South Wales, Australia
| | - Georg Hess
- Department of Hematology/Oncology, Johannes Gutenberg-University, Mainz, Germany
| | - Bruce D Cheson
- Lombardi Comprehensive Cancer Center, Georgetown University Hospital, Washington, District of Columbia, USA
| | | | - Steven Sun
- Janssen Research & Development, Raritan, New Jersey, USA
| | | | | | - Gilles Salles
- Hospices Civils de Lyon, Université de Lyon, Pierre-Bénite Cedex, Lyon, France
| | - Ajay K Gopal
- Division of Medical Oncology, Department of Medicine, The University of Washington, Seattle, Washington, USA.,Clinical Research Division, Fred Hutchinson Cancer Research Center, Lymphoma Program, Seattle Cancer Care Alliance, Seattle, Washington, USA
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36
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Zhou Y, Wang S, Tao Y, Chen H, Qin Y, He X, Zhou S, Liu P, Yang J, Yang S, Gui L, Lou N, Zhang Z, Yao J, Han X, Shi Y. Low CCL19 expression is associated with adverse clinical outcomes for follicular lymphoma patients treated with chemoimmunotherapy. J Transl Med 2021; 19:399. [PMID: 34544443 PMCID: PMC8454033 DOI: 10.1186/s12967-021-03078-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 09/11/2021] [Indexed: 11/10/2022] Open
Abstract
Background This study aimed to recognize the hub genes associated with prognosis in follicular lymphoma (FL) treated with first-line rituximab combined with chemotherapy. Method RNA sequencing data of dataset GSE65135 (n = 24) were included in differentially expressed genes (DEGs) analysis. Weighted gene co-expression network analysis (WGCNA) was applied for exploring the coexpression network and identifying hub genes. Validation of hub genes expression and prognosis were applied in dataset GSE119214 (n = 137) and independent patient cohort from Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (n = 32), respectively, by analyzing RNAseq expression data and serum protein concentration quantified by ELISA. The Gene Set Enrichment Analysis (GSEA), gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments analysis were performed. CIBERSORT was applied for tumor-infiltrating immune cells (TIICs) subset analysis. Results A total of 3260 DEGs were obtained, with 1861 genes upregulated and 1399 genes downregulated. Using WGCNA, eight hub genes, PLA2G2D, MMP9, PTGDS, CCL19, NFIB, YAP1, RGL1, and TIMP3 were identified. Kaplan–Meier analysis and multivariate COX regression analysis indicated that CCL19 independently associated with overall survival (OS) for FL patients treated with rituximab and chemotherapy (HR = 0.47, 95% CI [0.25–0.86], p = 0.014). Higher serum CCL19 concentration was associated with longer progression-free survival (PFS, p = 0.014) and OS (p = 0.039). TIICs subset analysis showed that CCL19 expression had a positive correlation with monocytes and macrophages M1, and a negative correlation with naïve B cells and plasma cells. Conclusion CCL19 expression was associated with survival outcomes and might be a potential prognostic biomarker for FL treated with first-line chemoimmunotherapy. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-03078-9.
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Affiliation(s)
- Yu Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Shasha Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yunxia Tao
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Haizhu Chen
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yan Qin
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Xiaohui He
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Shengyu Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Peng Liu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Jianliang Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Sheng Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Lin Gui
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Ning Lou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Zhishang Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Jiarui Yao
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Xiaohong Han
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Clinical PK & PD Investigation for Innovative Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 41 Damucang Hutong, Xicheng District, Beijing, 100032, China.
| | - Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
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Dawes JC, Uren AG. Forward and Reverse Genetics of B Cell Malignancies: From Insertional Mutagenesis to CRISPR-Cas. Front Immunol 2021; 12:670280. [PMID: 34484175 PMCID: PMC8414522 DOI: 10.3389/fimmu.2021.670280] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 07/09/2021] [Indexed: 12/21/2022] Open
Abstract
Cancer genome sequencing has identified dozens of mutations with a putative role in lymphomagenesis and leukemogenesis. Validation of driver mutations responsible for B cell neoplasms is complicated by the volume of mutations worthy of investigation and by the complex ways that multiple mutations arising from different stages of B cell development can cooperate. Forward and reverse genetic strategies in mice can provide complementary validation of human driver genes and in some cases comparative genomics of these models with human tumors has directed the identification of new drivers in human malignancies. We review a collection of forward genetic screens performed using insertional mutagenesis, chemical mutagenesis and exome sequencing and discuss how the high coverage of subclonal mutations in insertional mutagenesis screens can identify cooperating mutations at rates not possible using human tumor genomes. We also compare a set of independently conducted screens from Pax5 mutant mice that converge upon a common set of mutations observed in human acute lymphoblastic leukemia (ALL). We also discuss reverse genetic models and screens that use CRISPR-Cas, ORFs and shRNAs to provide high throughput in vivo proof of oncogenic function, with an emphasis on models using adoptive transfer of ex vivo cultured cells. Finally, we summarize mouse models that offer temporal regulation of candidate genes in an in vivo setting to demonstrate the potential of their encoded proteins as therapeutic targets.
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Affiliation(s)
- Joanna C Dawes
- Medical Research Council, London Institute of Medical Sciences, London, United Kingdom.,Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Anthony G Uren
- Medical Research Council, London Institute of Medical Sciences, London, United Kingdom.,Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, United Kingdom
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Loss of synergistic transcriptional feedback loops drives diverse B-cell cancers. EBioMedicine 2021; 71:103559. [PMID: 34461601 PMCID: PMC8403728 DOI: 10.1016/j.ebiom.2021.103559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/10/2021] [Accepted: 08/13/2021] [Indexed: 12/30/2022] Open
Abstract
Background The most common B-cell cancers, chronic lymphocytic leukemia/lymphoma (CLL), follicular and diffuse large B-cell (FL, DLBCL) lymphomas, have distinct clinical courses, yet overlapping “cell-of-origin”. Dynamic changes to the epigenome are essential regulators of B-cell differentiation. Therefore, we reasoned that these distinct cancers may be driven by shared mechanisms of disruption in transcriptional circuitry. Methods We compared purified malignant B-cells from 52 patients with normal B-cell subsets (germinal center centrocytes and centroblasts, naïve and memory B-cells) from 36 donor tonsils using >325 high-resolution molecular profiling assays for histone modifications, open chromatin (ChIP-, FAIRE-seq), transcriptome (RNA-seq), transcription factor (TF) binding, and genome copy number (microarrays). Findings From the resulting data, we identified gains in active chromatin in enhancers/super-enhancers that likely promote unchecked B-cell receptor signaling, including one we validated near the immunoglobulin superfamily receptors FCMR and PIGR. More striking and pervasive was the profound loss of key B-cell identity TFs, tumor suppressors and their super-enhancers, including EBF1, OCT2(POU2F2), and RUNX3. Using a novel approach to identify transcriptional feedback, we showed that these core transcriptional circuitries are self-regulating. Their selective gain and loss form a complex, iterative, and interactive process that likely curbs B-cell maturation and spurs proliferation. Interpretation Our study is the first to map the transcriptional circuitry of the most common blood cancers. We demonstrate that a critical subset of B-cell TFs and their cognate enhancers form self-regulatory transcriptional feedback loops whose disruption is a shared mechanism underlying these diverse subtypes of B-cell lymphoma. Funding National Institute of Health, Siteman Cancer Center, Barnes-Jewish Hospital Foundation, Doris Duke Foundation.
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Meyer SN, Koul S, Pasqualucci L. Mouse Models of Germinal Center Derived B-Cell Lymphomas. Front Immunol 2021; 12:710711. [PMID: 34456919 PMCID: PMC8387591 DOI: 10.3389/fimmu.2021.710711] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 06/28/2021] [Indexed: 12/19/2022] Open
Abstract
Over the last decades, the revolution in DNA sequencing has changed the way we understand the genetics and biology of B-cell lymphomas by uncovering a large number of recurrently mutated genes, whose aberrant function is likely to play an important role in the initiation and/or maintenance of these cancers. Dissecting how the involved genes contribute to the physiology and pathology of germinal center (GC) B cells -the origin of most B-cell lymphomas- will be key to advance our ability to diagnose and treat these patients. Genetically engineered mouse models (GEMM) that faithfully recapitulate lymphoma-associated genetic alterations offer a valuable platform to investigate the pathogenic roles of candidate oncogenes and tumor suppressors in vivo, and to pre-clinically develop new therapeutic principles in the context of an intact tumor immune microenvironment. In this review, we provide a summary of state-of-the art GEMMs obtained by accurately modelling the most common genetic alterations found in human GC B cell malignancies, with a focus on Burkitt lymphoma, follicular lymphoma, and diffuse large B-cell lymphoma, and we discuss how lessons learned from these models can help guide the design of novel therapeutic approaches for this disease.
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Affiliation(s)
- Stefanie N. Meyer
- Institute for Cancer Genetics, Columbia University, New York, NY, United States
| | - Sanjay Koul
- Department of Biological Sciences & Geology, Queensborough Community College (City University of New York), Bayside, NY, United States
| | - Laura Pasqualucci
- Institute for Cancer Genetics, Columbia University, New York, NY, United States
- Department of Pathology & Cell Biology, Columbia University, New York, NY, United States
- The Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, United States
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Saha A, Dalal Y. A glitch in the snitch: the role of linker histone H1 in shaping the epigenome in normal and diseased cells. Open Biol 2021; 11:210124. [PMID: 34343462 PMCID: PMC8331230 DOI: 10.1098/rsob.210124] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Histone H1s or the linker histones are a family of dynamic chromatin compacting proteins that are essential for higher-order chromatin organization. These highly positively charged proteins were previously thought to function solely as repressors of transcription. However, over the last decade, there is a growing interest in understanding this multi-protein family, finding that not all variants act as repressors. Indeed, the H1 family members appear to have distinct affinities for chromatin and may potentially affect distinct functions. This would suggest a more nuanced contribution of H1 to chromatin organization. The advent of new technologies to probe H1 dynamics in vivo, combined with powerful computational biology, and in vitro imaging tools have greatly enhanced our knowledge of the mechanisms by which H1 interacts with chromatin. This family of proteins can be metaphorically compared to the Golden Snitch from the Harry Potter series, buzzing on and off several regions of the chromatin, in combat with competing transcription factors and chromatin remodellers, thereby critical to the epigenetic endgame on short and long temporal scales in the life of the nucleus. Here, we summarize recent efforts spanning structural, computational, genomic and genetic experiments which examine the linker histone as an unseen architect of chromatin fibre in normal and diseased cells and explore unanswered fundamental questions in the field.
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Affiliation(s)
- Ankita Saha
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Yamini Dalal
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA
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Mossadegh-Keller N, Brisou G, Beyou A, Nadel B, Roulland S. Human B Lymphomas Reveal Their Secrets Through Genetic Mouse Models. Front Immunol 2021; 12:683597. [PMID: 34335584 PMCID: PMC8323519 DOI: 10.3389/fimmu.2021.683597] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 05/12/2021] [Indexed: 12/18/2022] Open
Abstract
Lymphomas are cancers deriving from lymphocytes, arising preferentially in secondary lymphoid organs, and represent the 6th cancer worldwide and the most frequent blood cancer. The majority of B cell Non-Hodgkin lymphomas (B-NHL) develop from germinal center (GC) experienced mature B cells. GCs are transient structures that form in lymphoid organs in response to antigen exposure of naive B cells, and where B cell receptor (BCR) affinity maturation occurs to promote B cell differentiation into memory B and plasma cells producing high-affinity antibodies. Genomic instability associated with the somatic hypermutation (SHM) and class-switch recombination (CSR) processes during GC transit enhance susceptibility to malignant transformation. Most B cell differentiation steps in the GC are at the origin of frequent B cell malignant entities, namely Follicular Lymphoma (FL) and GCB diffuse large B cell lymphomas (GCB-DLBCL). Over the past decade, large sequencing efforts have provided a great boost in the identification of candidate oncogenes and tumor suppressors involved in FL and DLBCL oncogenesis. Mouse models have been instrumental to accurately mimic in vivo lymphoma-specific mutations and interrogate their normal function in the GC context and their oncogenic function leading to lymphoma onset. The limited access of biopsies during the initiating steps of the disease, the cellular and (epi)genetic heterogeneity of individual tumors across and within patients linked to perturbed dynamics of GC ecosystems make the development of genetically engineered mouse models crucial to decipher lymphomagenesis and disease progression and eventually to test the effects of novel targeted therapies. In this review, we provide an overview of some of the important genetically engineered mouse models that have been developed to recapitulate lymphoma-associated (epi)genetic alterations of two frequent GC-derived lymphoma entities: FL and GCB-DLCBL and describe how those mouse models have improved our knowledge of the molecular processes supporting GC B cell transformation.
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Affiliation(s)
| | - Gabriel Brisou
- Aix Marseille Univ, CNRS, INSERM, CIML, Marseille, France.,Department of Hematology, Institut Paoli-Calmettes, Marseille, France
| | - Alicia Beyou
- Aix Marseille Univ, CNRS, INSERM, CIML, Marseille, France
| | - Bertrand Nadel
- Aix Marseille Univ, CNRS, INSERM, CIML, Marseille, France
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Milpied P, Gandhi AK, Cartron G, Pasqualucci L, Tarte K, Nadel B, Roulland S. Follicular lymphoma dynamics. Adv Immunol 2021; 150:43-103. [PMID: 34176559 DOI: 10.1016/bs.ai.2021.05.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Follicular lymphoma (FL) is an indolent yet challenging disease. Despite a generally favorable response to immunochemotherapy regimens, a fraction of patients does not respond or relapses early with unfavorable prognosis. For the vast majority of those who initially respond, relapses will repeatedly occur with increasing refractoriness to available treatments. Addressing the clinical challenges in FL warrants deep understanding of the nature of treatment-resistant FL cells seeding relapses, and of the biological basis of early disease progression. Great progress has been made in the last decade in the description and interrogation of the (epi)genomic landscape of FL cells, of their major dependency to the tumor microenvironment (TME), and of the stepwise lymphomagenesis process, from healthy to subclinical disease and to overt FL. A new picture is emerging, in which an ever-evolving tumor-TME duo sparks a complex and multilayered clonal and functional heterogeneity, blurring the discovery of prognostic biomarkers, patient stratification and reliable designs of risk-adapted treatments. Novel technological approaches allowing to decipher both tumor and TME heterogeneity at the single-cell level are beginning to unravel unsuspected cell dynamics and plasticity of FL cells. The upcoming drawing of a comprehensive functional picture of FL within its ecosystem holds great promise to address the unmet medical needs of this complex lymphoma.
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Affiliation(s)
- Pierre Milpied
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France
| | - Anita K Gandhi
- Translational Medicine, Bristol Myers Squibb, Summit, NJ, United States
| | - Guillaume Cartron
- Department of Hematology, Centre Hospitalier Universitaire Montpellier, UMR-CNRS 5535, Montpellier, France
| | - Laura Pasqualucci
- Pathology and Cell Biology, Institute for Cancer Genetics, Columbia University, New York City, NY, United States
| | - Karin Tarte
- INSERM U1236, Univ Rennes, EFS Bretagne, CHU Rennes, Rennes, France
| | - Bertrand Nadel
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France.
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Sabatini PJB, Tremblay-LeMay R, Ahmadi Moghaddam P, Delabie JMA, Sakhdari A. Marginal zone lymphoma transdifferentiated to histiocytic sarcoma. Br J Haematol 2021; 194:1090-1094. [PMID: 34096049 DOI: 10.1111/bjh.17582] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Peter J B Sabatini
- Laboratory Medicine and Pathobiology, University Health Network, Toronto, Canada
| | | | | | - Jan M A Delabie
- Laboratory Medicine and Pathobiology, University Health Network, Toronto, Canada
| | - Ali Sakhdari
- Laboratory Medicine and Pathobiology, University Health Network, Toronto, Canada
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Genomic landscape of cutaneous follicular lymphomas reveals 2 subgroups with clinically predictive molecular features. Blood Adv 2021; 5:649-661. [PMID: 33560380 DOI: 10.1182/bloodadvances.2020002469] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 11/20/2020] [Indexed: 01/14/2023] Open
Abstract
Primary cutaneous follicle center lymphomas (PCFCLs) are indolent B-cell lymphomas that predominantly remain skin restricted and manageable with skin-directed therapy. Conversely, secondary cutaneous involvement by usual systemic follicular lymphoma (secondary cutaneous follicular lymphoma [SCFL]) has a worse prognosis and often necessitates systemic therapy. Unfortunately, no histopathologic or genetic features reliably differentiate PCFCL from SCFL at diagnosis. Imaging may miss low-burden internal disease in some cases of SCFLs, leading to misclassification as PCFCL. Whereas usual systemic FL is well characterized genetically, the genomic landscapes of PCFCL and SCFL are unknown. Herein, we analyzed clinicopathologic and immunophenotypic data from 30 cases of PCFCL and 10 of SCFL and performed whole-exome sequencing on 18 specimens of PCFCL and 6 of SCFL. During a median follow-up of 7 years, 26 (87%) of the PCFCLs remained skin restricted. In the remaining 4 cases, systemic disease developed within 3 years of diagnosis. Although the SCFLs universally expressed BCL2 and had BCL2 rearrangements, 73% of the PCFCLs lacked BCL2 expression, and only 8% of skin-restricted PCFCLs had BCL2 rearrangements. SCFLs showed low proliferation fractions, whereas 75% of PCFCLs had proliferation fractions >30%. Of the SCFLs, 67% had characteristic loss-of-function CREBBP or KMT2D mutations vs none in skin-restricted PCFCL. Both SCFL and skin-restricted PCFCL showed frequent TNFRSF14 loss-of-function mutations and copy number loss at chromosome 1p36. These data together establish PCFCL as a unique entity with biological features distinct from usual systemic FL and SCFL. We propose 3 criteria based on BCL2 rearrangement, chromatin-modifying gene mutations (CREBBP, KMT2D, EZH2, and EP300), and proliferation index to classify cutaneous FL specimens based on the likelihood of concurrent or future systemic spread.
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Hu N, Wang F, Sun T, Xu Z, Zhang J, Bernard D, Xu S, Wang S, Kaminski M, Devata S, Phillips T, Malek SN. Follicular Lymphoma-associated BTK Mutations are Inactivating Resulting in Augmented AKT Activation. Clin Cancer Res 2021; 27:2301-2313. [PMID: 33419778 DOI: 10.1158/1078-0432.ccr-20-3741] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 09/29/2020] [Accepted: 01/05/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE On the basis of the recent discovery of mutations in Bruton tyrosine kinase (BTK) in follicular lymphoma, we studied their functional properties. EXPERIMENTAL DESIGN We identified novel somatic BTK mutations in 7% of a combined total of 139 follicular lymphoma and 11 transformed follicular lymphoma cases, none of which had received prior treatment with B-cell receptor (BCR) targeted drugs. We reconstituted wild-type (WT) and mutant BTK into various engineered lymphoma cell lines. We measured BCR-induced signal transduction events in engineered cell lines and primary human follicular lymphoma B cells. RESULTS We uncovered that all BTK mutants destabilized the BTK protein and some created BTK kinase-dead mutants. The phospholipase C gamma 2 (PLCγ2) is a substrate of BTK but the BTK mutants did not alter PLCγ2 phosphorylation. Instead, we discovered that BTK mutants induced an exaggerated AKT phosphorylation phenotype in anti-Ig-treated recombinant lymphoma cell lines. The short hairpin RNA-mediated knockdown of BTK expression in primary human nonmalignant lymph node-derived B cells resulted in strong anti-Ig-induced AKT activation, as did the degradation of BTK protein in cell lines using ibrutinib-based proteolysis targeting chimera. Finally, through analyses of primary human follicular lymphoma B cells carrying WT or mutant BTK, we detected elevated AKT phosphorylation following surface Ig crosslinking in all follicular lymphoma B cells, including all BTK-mutant follicular lymphoma. The augmented AKT phosphorylation following BCR crosslinking could be abrogated by pretreatment with a PI3Kδ inhibitor. CONCLUSIONS Altogether, our data uncover novel unexpected properties of follicular lymphoma-associated BTK mutations with direct implications for targeted therapy development in follicular lymphoma.See related commentary by Afaghani and Taylor, p. 2123.
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Affiliation(s)
- Nan Hu
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Fangyang Wang
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Tianyu Sun
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Zhengfan Xu
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Jing Zhang
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Denzil Bernard
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Shilin Xu
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Shaomeng Wang
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Mark Kaminski
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Suma Devata
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Tycel Phillips
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Sami N Malek
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.
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Luo R, Zhuo Y, Du Q, Xiao R. POU2F2 promotes the proliferation and motility of lung cancer cells by activating AGO1. BMC Pulm Med 2021; 21:117. [PMID: 33832481 PMCID: PMC8034198 DOI: 10.1186/s12890-021-01476-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 03/23/2021] [Indexed: 01/11/2023] Open
Abstract
Background To detect and investigate the expression of POU domain class 2 transcription factor 2 (POU2F2) in human lung cancer tissues, its role in lung cancer progression, and the potential mechanisms. Methods Immunohistochemical (IHC) assays were conducted to assess the expression of POU2F2 in human lung cancer tissues. Immunoblot assays were performed to assess the expression levels of POU2F2 in human lung cancer tissues and cell lines. CCK-8, colony formation, and transwell-migration/invasion assays were conducted to detect the effects of POU2F2 and AGO1 on the proliferaion and motility of A549 and H1299 cells in vitro. CHIP and luciferase assays were performed for the mechanism study. A tumor xenotransplantation model was used to detect the effects of POU2F2 on tumor growth in vivo. Results We found POU2F2 was highly expressed in human lung cancer tissues and cell lines, and associated with the lung cancer patients’ prognosis and clinical features. POU2F2 promoted the proliferation, and motility of lung cancer cells via targeting AGO1 in vitro. Additionally, POU2F2 promoted tumor growth of lung cancer cells via AGO1 in vivo. Conclusion We found POU2F2 was highly expressed in lung cancer cells and confirmed the involvement of POU2F2 in lung cancer progression, and thought POU2F2 could act as a potential therapeutic target for lung cancer. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-021-01476-9.
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Affiliation(s)
- Ronggang Luo
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, No.20 Chazhong Road, Fuzhou City, 350005, Fujian Province, China
| | - Yi Zhuo
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, No.20 Chazhong Road, Fuzhou City, 350005, Fujian Province, China.
| | - Quan Du
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, No.20 Chazhong Road, Fuzhou City, 350005, Fujian Province, China
| | - Rendong Xiao
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, No.20 Chazhong Road, Fuzhou City, 350005, Fujian Province, China
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47
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Pasqualucci L, Klein U. Mouse Models in the Study of Mature B-Cell Malignancies. Cold Spring Harb Perspect Med 2021; 11:cshperspect.a034827. [PMID: 32398289 DOI: 10.1101/cshperspect.a034827] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Over the past two decades, genomic analyses of several B-cell lymphoma entities have identified a large number of genes that are recurrently mutated, suggesting that their aberrant function promotes lymphomagenesis. For many of those genes, the specific role in normal B-cell development is unknown; moreover, whether and how their deregulated activity contributes to lymphoma initiation and/or maintenance is often difficult to determine. Genetically engineered mouse models that faithfully mimic lymphoma-associated genetic alterations represent valuable tools for elucidating the pathogenic roles of candidate oncogenes and tumor suppressors in vivo, as well as for the preclinical testing of novel therapeutic principles in an intact microenvironment. Here we summarize what has been learned about the mechanisms of oncogenic transformation from accurately modeling the most common and well-characterized genetic alterations identified in mature B-cell malignancies. This information is expected to guide the design of improved molecular diagnostics and mechanism-based therapeutic approaches for these diseases.
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Affiliation(s)
- Laura Pasqualucci
- Department of Pathology & Cell Biology, Institute for Cancer Genetics, and the Herbert Irving Comprehensive Cancer Center, Columbia University, New York, New York 10032, USA
| | - Ulf Klein
- Division of Haematology & Immunology, Leeds Institute of Medical Research at St. James's, University of Leeds, Leeds LS9 7TF, United Kingdom
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48
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Lee JE, Kim MY. Cancer epigenetics: Past, present and future. Semin Cancer Biol 2021; 83:4-14. [PMID: 33798724 DOI: 10.1016/j.semcancer.2021.03.025] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 03/22/2021] [Accepted: 03/25/2021] [Indexed: 12/14/2022]
Abstract
Cancer was thought to be caused solely by genetic mutations in oncogenes and tumor suppressor genes. In the last 35 years, however, epigenetic changes have been increasingly recognized as another primary driver of carcinogenesis and cancer progression. Epigenetic deregulation in cancer often includes mutations and/or aberrant expression of chromatin-modifying enzymes, their associated proteins, and even non-coding RNAs, which can alter chromatin structure and dynamics. This leads to changes in gene expression that ultimately contribute to the emergence and evolution of cancer cells. Studies of the deregulation of chromatin modifiers in cancer cells have reshaped the way we approach cancer and guided the development of novel anticancer therapeutics that target epigenetic factors. There remain, however, a number of unanswered questions in this field that are the focus of present research. Areas of particular interest include the actions of emerging classes of epigenetic regulators of carcinogenesis and the tumor microenvironment, as well as epigenetic tumor heterogeneity. In this review, we discuss past findings on epigenetic mechanisms of cancer, current trends in the field of cancer epigenetics, and the directions of future research that may lead to the identification of new prognostic markers for cancer and the development of more effective anticancer therapeutics.
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Affiliation(s)
- Jae Eun Lee
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Mi-Young Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea; KAIST Institute for the BioCentury, Cancer Metastasis Control Center, Daejeon, Republic of Korea.
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49
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Munguía-Fuentes R, Maqueda-Alfaro RA, Chacón-Salinas R, Flores-Romo L, Yam-Puc JC. Germinal Center Cells Turning to the Dark Side: Neoplasms of B Cells, Follicular Helper T Cells, and Follicular Dendritic Cells. Front Oncol 2021; 10:587809. [PMID: 33520702 PMCID: PMC7843373 DOI: 10.3389/fonc.2020.587809] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 11/26/2020] [Indexed: 12/12/2022] Open
Abstract
Gaining knowledge of the neoplastic side of the three main cells—B cells, Follicular Helper T (Tfh) cells, and follicular dendritic cells (FDCs) —involved in the germinal center (GC) reaction can shed light toward further understanding the microuniverse that is the GC, opening the possibility of better treatments. This paper gives a review of the more complex underlying mechanisms involved in the malignant transformations that take place in the GC. Whilst our understanding of the biology of the GC-related B cell lymphomas has increased—this is not reviewed in detail here—the dark side involving neoplasms of Tfh cells and FDCs are poorly studied, in great part, due to their low incidence. The aggressive behavior of Tfh lymphomas and the metastatic potential of FDCs sarcomas make them clinically relevant, merit further attention and are the main focus of this review. Tfh cells and FDCs malignancies can often be misdiagnosed. The better understanding of these entities linked to their molecular and genetic characterization will lead to prediction of high-risk patients, better diagnosis, prognosis, and treatments based on molecular profiles.
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Affiliation(s)
- Rosario Munguía-Fuentes
- Departmento de Ciencias Básicas, Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, UPIITA-IPN, Mexico City, Mexico
| | - Raúl Antonio Maqueda-Alfaro
- Department of Cell Biology, Center for Advanced Research, National Polytechnic Institute, Cinvestav-IPN, Mexico City, Mexico
| | - Rommel Chacón-Salinas
- Departamento de Inmunología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, ENCB-IPN, Mexico City, Mexico
| | - Leopoldo Flores-Romo
- Department of Cell Biology, Center for Advanced Research, National Polytechnic Institute, Cinvestav-IPN, Mexico City, Mexico
| | - Juan Carlos Yam-Puc
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
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50
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Lyubitelev AV, Kirpichnikov MP, Studitsky VM. The Role of Linker Histones in Carcinogenesis. RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY 2021. [DOI: 10.1134/s1068162021010143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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