1
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Fischer A, Albert TK, Moreno N, Interlandi M, Mormann J, Glaser S, Patil P, de Faria FW, Richter M, Verma A, Balbach ST, Wagener R, Bens S, Dahlum S, Göbel C, Münter D, Inserte C, Graf M, Kremer E, Melcher V, Di Stefano G, Santi R, Chan A, Dogan A, Bush J, Hasselblatt M, Cheng S, Spetalen S, Fosså A, Hartmann W, Herbrüggen H, Robert S, Oyen F, Dugas M, Walter C, Sandmann S, Varghese J, Rossig C, Schüller U, Tzankov A, Pedersen MB, d'Amore FA, Mellgren K, Kontny U, Kancherla V, Veloza L, Missiaglia E, Fataccioli V, Gaulard P, Burkhardt B, Soehnlein O, Klapper W, de Leval L, Siebert R, Kerl K. Lack of SMARCB1 expression characterizes a subset of human and murine peripheral T-cell lymphomas. Nat Commun 2024; 15:8571. [PMID: 39362842 PMCID: PMC11452211 DOI: 10.1038/s41467-024-52826-0] [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: 05/04/2023] [Accepted: 09/23/2024] [Indexed: 10/05/2024] Open
Abstract
Peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS) is a heterogeneous group of malignancies with poor outcome. Here, we identify a subgroup, PTCL-NOSSMARCB1-, which is characterized by the lack of the SMARCB1 protein and occurs more frequently in young patients. Human and murine PTCL-NOSSMARCB1- show similar DNA methylation profiles, with hypermethylation of T-cell-related genes and hypomethylation of genes involved in myeloid development. Single-cell analyses of human and murine tumors revealed a rich and complex network of interactions between tumor cells and an immunosuppressive and exhausted tumor microenvironment (TME). In a drug screen, we identified histone deacetylase inhibitors (HDACi) as a class of drugs effective against PTCL-NOSSmarcb1-. In vivo treatment of mouse tumors with SAHA, a pan-HDACi, triggered remodeling of the TME, promoting replenishment of lymphoid compartments and reversal of the exhaustion phenotype. These results provide a rationale for further exploration of HDACi combination therapies targeting PTCL-NOSSMARCB1- within the TME.
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MESH Headings
- Animals
- SMARCB1 Protein/genetics
- SMARCB1 Protein/metabolism
- Humans
- Lymphoma, T-Cell, Peripheral/genetics
- Lymphoma, T-Cell, Peripheral/drug therapy
- Lymphoma, T-Cell, Peripheral/metabolism
- Lymphoma, T-Cell, Peripheral/pathology
- Mice
- Histone Deacetylase Inhibitors/pharmacology
- Tumor Microenvironment/genetics
- Tumor Microenvironment/drug effects
- DNA Methylation
- Gene Expression Regulation, Neoplastic
- Female
- Cell Line, Tumor
- Male
- Vorinostat/pharmacology
- Single-Cell Analysis
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Affiliation(s)
- Anja Fischer
- Institute of Human Genetics, Ulm University Medical Center, Ulm, Germany
| | - Thomas K Albert
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Natalia Moreno
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Marta Interlandi
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
- Institute of Medical Informatics, University of Münster, 48149, Münster, Germany
| | - Jana Mormann
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Selina Glaser
- Institute of Human Genetics, Ulm University Medical Center, Ulm, Germany
| | - Paurnima Patil
- Institute of Human Genetics, Ulm University Medical Center, Ulm, Germany
| | - Flavia W de Faria
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Mathis Richter
- Institute for Experimental Pathology, Center for Molecular Biology of Inflammation, University of Münster, Münster, Germany
| | - Archana Verma
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Sebastian T Balbach
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Rabea Wagener
- Institute of Human Genetics, Ulm University Medical Center, Ulm, Germany
| | - Susanne Bens
- Institute of Human Genetics, Ulm University Medical Center, Ulm, Germany
| | - Sonja Dahlum
- Institute of Human Genetics, Ulm University Medical Center, Ulm, Germany
| | - Carolin Göbel
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg, Eppendorf (UKE), 20251, Hamburg, Germany
- Research Institute Children's Cancer Center, 20251, Hamburg, Germany
| | - Daniel Münter
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Clara Inserte
- Institute of Medical Informatics, University of Münster, 48149, Münster, Germany
| | - Monika Graf
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Eva Kremer
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Viktoria Melcher
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Gioia Di Stefano
- Pathological Anatomy Section, Careggi University Hospital, Florence, Italy
| | - Raffaella Santi
- Pathological Anatomy Section, Careggi University Hospital, Florence, Italy
| | - Alexander Chan
- Department of Pathology, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Ahmet Dogan
- Department of Pathology, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Jonathan Bush
- Division of Anatomical Pathology, British Columbia Children's Hospital and Women's Hospital and Health Center, Vancouver, BC, Canada
| | - Martin Hasselblatt
- Institute of Neuropathology, University Hospital Münster, 48149, Münster, Germany
| | - Sylvia Cheng
- Division of Pediatric Hematology/Oncology/BMT, Department of Pediatrics, British Columbia Children's Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Signe Spetalen
- Department of Pathology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Alexander Fosså
- Department of Oncology, Oslo University Hospital-Norwegian Radium Hospital, Oslo, Norway
| | - Wolfgang Hartmann
- Division of Translational Pathology, Gerhard-Domagk-Institut für Pathologie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude D17, 48149, Münster, Germany
| | - Heidi Herbrüggen
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Stella Robert
- Department of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Münster, Münster, Germany
| | - Florian Oyen
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg, Eppendorf (UKE), 20251, Hamburg, Germany
| | - Martin Dugas
- Institute of Medical Informatics, University of Münster, 48149, Münster, Germany
- Institute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany
| | - Carolin Walter
- Institute of Medical Informatics, University of Münster, 48149, Münster, Germany
| | - Sarah Sandmann
- Institute of Medical Informatics, University of Münster, 48149, Münster, Germany
| | - Julian Varghese
- Institute of Medical Informatics, University of Münster, 48149, Münster, Germany
| | - Claudia Rossig
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Ulrich Schüller
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg, Eppendorf (UKE), 20251, Hamburg, Germany
- Research Institute Children's Cancer Center, 20251, Hamburg, Germany
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf (UKE), 20251, Hamburg, Germany
| | - Alexandar Tzankov
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Martin B Pedersen
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Francesco A d'Amore
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Karin Mellgren
- Department of Pediatric Oncology and Hematology, Sahlgrenska University Hospital, The Queen Silvia Children's Hospital, Gothenburg, Sweden
| | - Udo Kontny
- Section of Pediatric Hematology, Oncology, and Stem Cell Transplantation, Department of Pediatric and Adolescent Medicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Venkatesh Kancherla
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital, Lausanne, Switzerland
| | - Luis Veloza
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital, Lausanne, Switzerland
| | - Edoardo Missiaglia
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital, Lausanne, Switzerland
| | - Virginie Fataccioli
- INSERM U955, Université Paris-Est, Créteil, France
- Département de Pathologie, Hôpitaux Universitaires Henri Mondor, AP-HP, INSERM U955, Université Paris Est Créteil, Créteil, France
| | - Philippe Gaulard
- Département de Pathologie, Hôpitaux Universitaires Henri Mondor, AP-HP, INSERM U955, Université Paris Est Créteil, Créteil, France
| | - Birgit Burkhardt
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Oliver Soehnlein
- Institute for Experimental Pathology, Center for Molecular Biology of Inflammation, University of Münster, Münster, Germany
| | - Wolfram Klapper
- Department of Pathology, Haematopathology Section and Lymph Node Registry, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital, Lausanne, Switzerland
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University Medical Center, Ulm, Germany
| | - Kornelius Kerl
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany.
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Andrades A, Peinado P, Alvarez-Perez JC, Sanjuan-Hidalgo J, García DJ, Arenas AM, Matia-González AM, Medina PP. SWI/SNF complexes in hematological malignancies: biological implications and therapeutic opportunities. Mol Cancer 2023; 22:39. [PMID: 36810086 PMCID: PMC9942420 DOI: 10.1186/s12943-023-01736-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/30/2023] [Indexed: 02/23/2023] Open
Abstract
Hematological malignancies are a highly heterogeneous group of diseases with varied molecular and phenotypical characteristics. SWI/SNF (SWItch/Sucrose Non-Fermentable) chromatin remodeling complexes play significant roles in the regulation of gene expression, being essential for processes such as cell maintenance and differentiation in hematopoietic stem cells. Furthermore, alterations in SWI/SNF complex subunits, especially in ARID1A/1B/2, SMARCA2/4, and BCL7A, are highly recurrent across a wide variety of lymphoid and myeloid malignancies. Most genetic alterations cause a loss of function of the subunit, suggesting a tumor suppressor role. However, SWI/SNF subunits can also be required for tumor maintenance or even play an oncogenic role in certain disease contexts. The recurrent alterations of SWI/SNF subunits highlight not only the biological relevance of SWI/SNF complexes in hematological malignancies but also their clinical potential. In particular, increasing evidence has shown that mutations in SWI/SNF complex subunits confer resistance to several antineoplastic agents routinely used for the treatment of hematological malignancies. Furthermore, mutations in SWI/SNF subunits often create synthetic lethality relationships with other SWI/SNF or non-SWI/SNF proteins that could be exploited therapeutically. In conclusion, SWI/SNF complexes are recurrently altered in hematological malignancies and some SWI/SNF subunits may be essential for tumor maintenance. These alterations, as well as their synthetic lethal relationships with SWI/SNF and non-SWI/SNF proteins, may be pharmacologically exploited for the treatment of diverse hematological cancers.
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Affiliation(s)
- Alvaro Andrades
- grid.4489.10000000121678994Department of Biochemistry and Molecular Biology I. Faculty of Sciences, University of Granada, Granada, Spain ,grid.470860.d0000 0004 4677 7069GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain ,grid.507088.2Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Paola Peinado
- grid.4489.10000000121678994Department of Biochemistry and Molecular Biology I. Faculty of Sciences, University of Granada, Granada, Spain ,grid.470860.d0000 0004 4677 7069GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain ,grid.507088.2Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain ,grid.451388.30000 0004 1795 1830Present Address: The Francis Crick Institute, London, UK
| | - Juan Carlos Alvarez-Perez
- grid.4489.10000000121678994Department of Biochemistry and Molecular Biology I. Faculty of Sciences, University of Granada, Granada, Spain ,grid.470860.d0000 0004 4677 7069GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain ,grid.507088.2Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Juan Sanjuan-Hidalgo
- grid.4489.10000000121678994Department of Biochemistry and Molecular Biology I. Faculty of Sciences, University of Granada, Granada, Spain ,grid.470860.d0000 0004 4677 7069GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain
| | - Daniel J. García
- grid.470860.d0000 0004 4677 7069GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain ,grid.4489.10000000121678994Department of Biochemistry and Molecular Biology III and Immunology, University of Granada, Granada, Spain
| | - Alberto M. Arenas
- grid.4489.10000000121678994Department of Biochemistry and Molecular Biology I. Faculty of Sciences, University of Granada, Granada, Spain ,grid.470860.d0000 0004 4677 7069GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain ,grid.507088.2Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Ana M. Matia-González
- grid.4489.10000000121678994Department of Biochemistry and Molecular Biology I. Faculty of Sciences, University of Granada, Granada, Spain ,grid.470860.d0000 0004 4677 7069GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain ,grid.507088.2Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Pedro P. Medina
- grid.4489.10000000121678994Department of Biochemistry and Molecular Biology I. Faculty of Sciences, University of Granada, Granada, Spain ,grid.470860.d0000 0004 4677 7069GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain ,grid.507088.2Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
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3
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Kelemen K, Saft L, Craig FE, Orazi A, Nakashima M, Wertheim GB, George TI, Horny HP, King RL, Quintanilla-Martinez L, Wang SA, Rimsza LM, Reichard KK. Eosinophilia/Hypereosinophilia in the Setting of Reactive and Idiopathic Causes, Well-Defined Myeloid or Lymphoid Leukemias, or Germline Disorders. Am J Clin Pathol 2021; 155:179-210. [PMID: 33367563 DOI: 10.1093/ajcp/aqaa244] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES To report the findings of the 2019 Society for Hematopathology/European Association for Haematopathology Workshop within the categories of reactive eosinophilia, hypereosinophilic syndrome (HES), germline disorders with eosinophilia (GDE), and myeloid and lymphoid neoplasms associated with eosinophilia (excluding entities covered by other studies in this series). METHODS The workshop panel reviewed 109 cases, assigned consensus diagnosis, and created diagnosis-specific sessions. RESULTS The most frequent diagnosis was reactive eosinophilia (35), followed by acute leukemia (24). Myeloproliferative neoplasms (MPNs) received 17 submissions, including chronic eosinophilic leukemia, not otherwise specified (CEL, NOS). Myelodysplastic syndrome (MDS), MDS/MPN, and therapy-related myeloid neoplasms received 11, while GDE and HES received 12 and 11 submissions, respectively. CONCLUSIONS Hypereosinophilia and HES are defined by specific clinical and laboratory criteria. Eosinophilia is commonly reactive. An acute leukemic onset with eosinophilia may suggest core-binding factor acute myeloid leukemia, blast phase of chronic myeloid leukemia, BCR-ABL1-positive leukemia, or t(5;14) B-lymphoblastic leukemia. Eosinophilia is rare in MDS but common in MDS/MPN. CEL, NOS is a clinically aggressive MPN with eosinophilia as the dominant feature. Bone marrow morphology and cytogenetic and/or molecular clonality may distinguish CEL from HES. Molecular testing helps to better subclassify myeloid neoplasms with eosinophilia and to identify patients for targeted treatments.
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Affiliation(s)
| | - Leonie Saft
- Department of Pathology, Karolinska University Hospital and Institute, Stockholm, Sweden
| | - Fiona E Craig
- Division of Hematopathology, Mayo Clinic, Phoenix, AZ
| | - Attilio Orazi
- Department of Pathology, Texas Tech University Health Sciences Center, El Paso
| | - Megan Nakashima
- Department of Laboratory Medicine, Cleveland Clinic, Cleveland, OH
| | - Gerald B Wertheim
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Tracy I George
- Department of Pathology, University of Utah School of Medicine, Salt Lake City
| | - Hans-Peter Horny
- Institute of Pathology, University of Munich (LMU), Munich, Germany
| | | | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, Tübingen University Hospital, Tübingen, Germany
| | - Sa A Wang
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston
| | - Lisa M Rimsza
- Division of Hematopathology, Mayo Clinic, Phoenix, AZ
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4
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Shanmugam V, Kim AS. Lymphomas. Genomic Med 2020. [DOI: 10.1007/978-3-030-22922-1_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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5
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Patil P, Cieslak A, Bernhart SH, Toprak UH, Wagener R, López C, Wiehle L, Bens S, Altmüller J, Franitza M, Scholz I, Jayne S, Ahearne MJ, Scheffold A, Jebaraj BMC, Schneider C, Costa D, Braun T, Schrader A, Campo E, Dyer MJS, Nürnberg P, Dürig J, Johansson P, Böttcher S, Schlesner M, Herling M, Stilgenbauer S, Macintyre E, Siebert R. Reconstruction of rearranged T-cell receptor loci by whole genome and transcriptome sequencing gives insights into the initial steps of T-cell prolymphocytic leukemia. Genes Chromosomes Cancer 2019; 59:261-267. [PMID: 31677197 DOI: 10.1002/gcc.22821] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 10/29/2019] [Accepted: 10/29/2019] [Indexed: 12/20/2022] Open
Abstract
T-cell prolymphocytic leukemia (T-PLL) is an aggressive tumor with leukemic presentation of mature T-lymphocytes. Here, we aimed at characterizing the initial events in the molecular pathogenesis of T-PLL and particularly, at determining the point in T-cell differentiation when the hallmark oncogenic events, that is, inv(14)(q11q32)/t(14;14)(q11;q32) and t(X;14)(q28;q11) occur. To this end, we mined whole genome and transcriptome sequencing data of 17 and 11 T-PLL cases, respectively. Mapping of the 14q32.1 locus breakpoints identified only TCL1A, which was moreover significantly overexpressed in T-PLL as compared to benign CD4+ and CD8+ T-cells, as the only common oncogenic target of aberrations. In cases with t(14;14), the breakpoints mapped telomeric and in cases with inv(14) centromeric or in the 3'-untranslated region of TCL1A. Regarding the T-cell receptor alpha (TRA) locus-TCL1A breakpoint junctions, all 17 breakpoints involved recombination signal sequences and 15 junctions contained nontemplated (N-) nucleotides. All T-PLL cases studied carried in-frame TRA rearrangements on the intact allele, which skewed significantly toward usage of distal/central TRAV/TRAJ gene segments as compared to the illegitimate TRA rearrangements. Our findings suggest that the oncogenic TRA-TCL1A/MTCP1 rearrangements in T-PLL occur during opening of the TRA locus, that is, during the progression from CD4+ immature single positive to early double positive thymocyte stage, just before physiologic TCL1A expression is silenced. The cell carrying such an oncogenic event continues maturation and rearranges the second TRA allele to achieve a functional T-cell receptor. Thereafter, it switches off RAG and DNTT expression in line with the mature T-cell phenotype at presentation of T-PLL.
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Affiliation(s)
- Paurnima Patil
- Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany
| | - Agata Cieslak
- Diagnostic Haematology, Necker-Enfants Malades Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes Sorbonne Cité, Institut Necker-Enfants Malades (INEM), Institut national de recherche médicale (INSERM), Paris, France
| | - Stephan H Bernhart
- Interdisciplinary Center for Bioinformatics, Transcriptome Bioinformatics, University of Leipzig, Leipzig, Germany
| | - Umut H Toprak
- Bioinformatics and Omics Data Analytics, German Cancer Research Center, Faculty of Biosciences, Heidelberg University, Heidelberg, Germany.,Division Neuroblastoma Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Hopp-Children's Cancer Center at the NCT Heidelberg (KiTZ), Heidelberg, Germany
| | - Rabea Wagener
- Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany.,Institute for Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Kiel, Germany
| | - Cristina López
- Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany.,Institute for Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Kiel, Germany
| | - Laura Wiehle
- Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany
| | - Susanne Bens
- Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany.,Institute for Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Kiel, Germany
| | - Janine Altmüller
- Cologne Center for Genomics, Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
| | - Marek Franitza
- Cologne Center for Genomics, Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
| | - Ingrid Scholz
- Omics IT and Data Management Core Facility, German Cancer Research Center, Heidelberg, Germany
| | - Sandrine Jayne
- Ernest and Helen Scott Haematological Research Institute, Department of Cancer Studies, University of Leicester, Leicester, UK
| | - Matthew J Ahearne
- Ernest and Helen Scott Haematological Research Institute, Department of Cancer Studies, University of Leicester, Leicester, UK
| | - Annika Scheffold
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Billy M C Jebaraj
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | | | - Dolors Costa
- Haematopathology Section, Hospital Clínic, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Till Braun
- Department I of Internal Medicine, Center for Integrated Oncology Köln Bonn, Deutsche CLL Studiengruppe (DCLLSG), Excellence Cluster for Cellular Stress Response and Aging-Associated Diseases (CECAD), and Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Alexandra Schrader
- Department I of Internal Medicine, Center for Integrated Oncology Köln Bonn, Deutsche CLL Studiengruppe (DCLLSG), Excellence Cluster for Cellular Stress Response and Aging-Associated Diseases (CECAD), and Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Elias Campo
- Haematopathology Section, Hospital Clínic, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Martin J S Dyer
- Ernest and Helen Scott Haematological Research Institute, Department of Cancer Studies, University of Leicester, Leicester, UK
| | - Peter Nürnberg
- Cologne Center for Genomics, Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
| | - Jan Dürig
- Department of Hematology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Patricia Johansson
- Department of Hematology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Sebastian Böttcher
- Department III of Internal Medicine, University Hospital Rostock, Rostock, Germany
| | - Matthias Schlesner
- Bioinformatics and Omics Data Analytics, German Cancer Research Center, Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Marco Herling
- Department I of Internal Medicine, Center for Integrated Oncology Köln Bonn, Deutsche CLL Studiengruppe (DCLLSG), Excellence Cluster for Cellular Stress Response and Aging-Associated Diseases (CECAD), and Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | | | - Elizabeth Macintyre
- Diagnostic Haematology, Necker-Enfants Malades Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Descartes Sorbonne Cité, Institut Necker-Enfants Malades (INEM), Institut national de recherche médicale (INSERM), Paris, France
| | - Reiner Siebert
- Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany.,Institute for Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Kiel, Germany
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7
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Shi Z, Yu J, Shao H, Cheng K, Zhai J, Jiang Q, Li H. Exploring the molecular pathogenesis associated with T-cell prolymphocytic leukemia based on a comprehensive bioinformatics analysis. Oncol Lett 2018; 16:301-307. [PMID: 29928415 PMCID: PMC6006439 DOI: 10.3892/ol.2018.8615] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2016] [Accepted: 02/27/2017] [Indexed: 12/25/2022] Open
Abstract
As a rare hematological malignancy, T-cell prolymphocytic leukemia (T-PLL) has a high mortality rate. However, the comprehensive mechanisms of the underlying pathogenesis of T-PLL are unknown. The purpose of the present study was to investigate the pathogenesis of T-PLL based on a comprehensive bioinformatics analysis. The differentially expressed genes (DEGs) between T-PLL blood cell samples and normal peripheral blood cell samples were investigated using the GSE5788 Affymetrix microarray data from the Gene Expression Omnibus database. To investigate the functional changes associated with tumor progression, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were used on the identified DEGs, followed by protein-protein interaction (PPI) and sub-PPI analysis. Transcription factors and tumor-associated genes (TAGs) were investigated further. The results identified 84 upregulated genes and 354 downregulated genes in T-PLL samples when compared with healthy samples. These DEGs featured in various functions including cell death and various pathways including apoptosis. The functional analysis of DEGs revealed 17 dysregulated transcription factors and 37 dysregulated TAGs. Furthermore, the PPI network analysis based on node degree (a network topology attribute) identified 61 genes, including the core downregulated gene of the sub-PPI network, signal transducer and activator of transcription 3 (STAT3; degree, 13) and the core upregulated gene, insulin receptor substrate-1 (IRS1; degree, 5), that may have important associations with the progression of T-PLL. Alterations to cell functions, including cell death, and pathways, including apoptosis, may contribute to the process of T-PLL. Candidate genes identified in the present study, including STAT3 and IRS1, should be targets for additional studies.
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Affiliation(s)
- Zhangzhen Shi
- Department of Hematology and Oncology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China
| | - Jing Yu
- Department of Nephrology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China
| | - Hui Shao
- Department of Hematology and Oncology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China
| | - Kailiang Cheng
- Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China
| | - Jingjie Zhai
- Department of Implantology, Jilin University Stomatology Hospital, Changchun, Jilin 130021, P.R. China
| | - Qi Jiang
- Department of Nephrology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China
| | - Hongjun Li
- Medical Examination Center, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China
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Metts JL, Park SI, Soares BP, Fong C, Biegel JA, Goldsmith KC. Concurrent myeloid sarcoma, atypical teratoid/rhabdoid tumor, and hypereosinophilia in an infant with a germline SMARCB1 mutation. Pediatr Blood Cancer 2017; 64. [PMID: 28111898 DOI: 10.1002/pbc.26460] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 11/21/2016] [Accepted: 12/19/2016] [Indexed: 11/10/2022]
Abstract
We report a 1-year-old female child presenting with hypereosinophilia who was found to have concurrent myeloid sarcoma and a central nervous system (CNS) atypical teratoid/rhabdoid tumor (AT/RT). She was later found to have a germline mutation in SMARCB1. Concurrent hematologic malignancy and CNS AT/RT have not previously been described in the context of a SMARCB1 loss-of-function germline mutation.
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Affiliation(s)
- Jonathan L Metts
- Division of Hematology/Oncology, Department of Pediatrics, Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta and Emory University, Atlanta, Georgia
| | - Sunita I Park
- Department of Pathology, Children's Healthcare of Atlanta and Emory University, Atlanta, Georgia
| | - Bruno P Soares
- Division of Pediatric Radiology and Pediatric Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Cindy Fong
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles and Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jaclyn A Biegel
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles and Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Kelly C Goldsmith
- Division of Hematology/Oncology, Department of Pediatrics, Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta and Emory University, Atlanta, Georgia
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9
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Cutucache CE, Herek TA. Burrowing through the Heterogeneity: Review of Mouse Models of PTCL-NOS. Front Oncol 2016; 6:206. [PMID: 27725924 PMCID: PMC5035739 DOI: 10.3389/fonc.2016.00206] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2016] [Accepted: 09/12/2016] [Indexed: 12/19/2022] Open
Abstract
Currently, there are 19 different peripheral T-cell lymphoma (PTCL) entities recognized by the World Health Organization; however, ~70% of PTCL diagnoses fall within one of three subtypes [i.e., peripheral T-cell lymphoma not otherwise specified (PTCL-NOS), anaplastic large-cell lymphoma, and angioimmunoblastic T-cell lymphoma]. PTCL-NOS is a grouping of extra-thymic neoplasms that represent a challenging and heterogeneous subset of non-Hodgkin’s lymphomas. Research into peripheral T-cell lymphomas has been cumbersome as the lack of defining cytogenetic, histological, and molecular features has stymied diagnosis and treatment of these diseases. Similarly, the lacks of genetically manipulated murine models that faithfully recapitulate disease characteristics were absent prior to the turn of the century. Herein, we review the literature concerning existing mouse models for PTLC-NOS, while paying particular attention to the etiology of this heterogeneous disease.
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Wilcox RA. A three-signal model of T-cell lymphoma pathogenesis. Am J Hematol 2016; 91:113-22. [PMID: 26408334 DOI: 10.1002/ajh.24203] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 08/24/2015] [Accepted: 09/23/2015] [Indexed: 12/12/2022]
Abstract
T-cell lymphoma pathogenesis and classification have, until recently, remained enigmatic. Recently performed whole-exome sequencing and gene-expression profiling studies have significant implications for their classification and treatment. Recurrent genetic modifications in antigen ("signal 1"), costimulatory ("signal 2"), or cytokine receptors ("signal 3"), and the tyrosine kinases and other signaling proteins they activate, have emerged as important therapeutic targets in these lymphomas. Many of these genetic modifications do not function in a cell-autonomous manner, but require the provision of ligand(s) by constituents of the tumor microenvironment, further supporting the long-appreciated view that these lymphomas are dependent upon and driven by their microenvironment. Therefore, the seemingly disparate fields of genomics and immunology are converging. A unifying "3 signal model" for T-cell lymphoma pathogenesis that integrates these findings will be presented, and its therapeutic implications briefly reviewed.
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Affiliation(s)
- Ryan A. Wilcox
- Department of Internal Medicine, Division of Hematology and Oncology; University of Michigan; Ann Arbor Michigan
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11
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Integrated genomic sequencing reveals mutational landscape of T-cell prolymphocytic leukemia. Blood 2014; 124:1460-72. [PMID: 24825865 DOI: 10.1182/blood-2014-03-559542] [Citation(s) in RCA: 185] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The comprehensive genetic alterations underlying the pathogenesis of T-cell prolymphocytic leukemia (T-PLL) are unknown. To address this, we performed whole-genome sequencing (WGS), whole-exome sequencing (WES), high-resolution copy-number analysis, and Sanger resequencing of a large cohort of T-PLL. WGS and WES identified novel mutations in recurrently altered genes not previously implicated in T-PLL including EZH2, FBXW10, and CHEK2. Strikingly, WGS and/or WES showed largely mutually exclusive mutations affecting IL2RG, JAK1, JAK3, or STAT5B in 38 of 50 T-PLL genomes (76.0%). Notably, gain-of-function IL2RG mutations are novel and have not been reported in any form of cancer. Further, high-frequency mutations in STAT5B have not been previously reported in T-PLL. Functionally, IL2RG-JAK1-JAK3-STAT5B mutations led to signal transducer and activator of transcription 5 (STAT5) hyperactivation, transformed Ba/F3 cells resulting in cytokine-independent growth, and/or enhanced colony formation in Jurkat T cells. Importantly, primary T-PLL cells exhibited constitutive activation of STAT5, and targeted pharmacologic inhibition of STAT5 with pimozide induced apoptosis in primary T-PLL cells. These results for the first time provide a portrait of the mutational landscape of T-PLL and implicate deregulation of DNA repair and epigenetic modulators as well as high-frequency mutational activation of the IL2RG-JAK1-JAK3-STAT5B axis in the pathogenesis of T-PLL. These findings offer opportunities for novel targeted therapies in this aggressive leukemia.
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Bergmann AK, Schneppenheim S, Seifert M, Betts MJ, Haake A, Lopez C, Maria Murga Penas E, Vater I, Jayne S, Dyer MJS, Schrappe M, Dührsen U, Ammerpohl O, Russell RB, Küppers R, Dürig J, Siebert R. Recurrent mutation of JAK3 in T-cell prolymphocytic leukemia. Genes Chromosomes Cancer 2014; 53:309-16. [PMID: 24446122 DOI: 10.1002/gcc.22141] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2013] [Accepted: 12/09/2013] [Indexed: 01/19/2023] Open
Abstract
T-cell prolymphocytic leukemia (T-PLL) is an aggressive post-thymic T-cell malignancy characterized by the recurrent inv(14)(q11q32)/t(14;14)(q11;q32) or t(X;14)(q28;q11) leading to activation of either the TCL1 or MTCP1 gene, respectively. However, these primary genetic events are insufficient to drive leukemogenesis. Recently, activating mutations in JAK3 have been identified in other T-cell malignancies. Since JAK3 is essential for T-cell maturation, we analyzed a cohort of 32 T-PLL patients for mutational hot spots in the JAK3 gene using a step-wise screening approach. We identified 14 mutations in 11 of 32 patients (34%). The most frequently detected mutation in our cohort was M511I (seen in 57% of cases) previously described as an activating change in other T-cell malignancies. Three patients carried two mutations in JAK3. In two patients M511I and R657Q were simultaneously detected and in another patient V674F and V678L. In the latter case we could demonstrate that the mutations were on the same allele in cis. Protein modeling and homology analyses of mutations present in other members of the JAK family suggested that these mutations likely activate JAK3, possibly by disrupting the activation loop and the interface between N and C lobes, increasing the accessibility of the catalytic loop. In addition, four of the 21 patients lacking a JAK3 point mutation presented an aberrant karyotype involving the chromosomal band 19p13 harboring the JAK3 locus. The finding of recurrent activating JAK3 mutations in patients with T-PLL could enable the use of JAK3 inhibitors to treat patients with this unfavorable malignancy who otherwise have a very poor prognosis.
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Affiliation(s)
- Anke K Bergmann
- Institute for Human Genetics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany; Department of Pediatrics, Christian-Albrechts-University Kiel and University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
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Tirado CA, Starshak P, Delgado P, Rao N. "T-cell prolymphocytic leukemia (T-PLL), a heterogeneous disease exemplified by two cases and the important role of cytogenetics: a multidisciplinary approach". Exp Hematol Oncol 2012; 1:21. [PMID: 23211026 PMCID: PMC3514161 DOI: 10.1186/2162-3619-1-21] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2012] [Accepted: 08/16/2012] [Indexed: 11/10/2022] Open
Abstract
T-cell prolymphocytic leukemia (T-PLL) is a rare form of leukemia composed of mature T-cells that usually presents in older people with a median age of 65. Most cases of T-PLL will harbor chromosomal abnormalities involving 14q11.2 (TCR alpha/delta), 14q32 (TCL1) or Xq28 (MTCP-1), abnormalities of chromosome 8, 12p and deletions of the long arm of chromosomes 5, 6, 11 and 13. Cytogenetics, FISH, comparative genomic hybridization (CGH) , SNP arrays with high resolution analysis have provided more precisely frequent submicroscopic gene and genomic lesions as well as breakpoints involved in the pathogenesis of this disease. One of the cornerstones to diagnose T-PLL are cytogenetic analysis. Here we summarize the current cytogenetic findings and we also describe two distinct cases of T-PLL where cytogenetics, FISH , morphologic analysis and flow cytometry helped to diagnose them accurately.
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Affiliation(s)
- Carlos A Tirado
- Department of Pathology & Laboratory Medicine, David Geffen UCLA School of Medicine, Los Angeles, CA, 90095, USA
| | - Phillip Starshak
- Department of Pathology & Laboratory Medicine, David Geffen UCLA School of Medicine, Los Angeles, CA, 90095, USA
| | - Paul Delgado
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, 90095, USA
| | - Nagesh Rao
- Department of Pathology & Laboratory Medicine, David Geffen UCLA School of Medicine, Los Angeles, CA, 90095, USA
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Abstract
T- and B-cell subtypes of prolymphocytic leukemia (PLL) are rare, aggressive lymphoid malignancies with characteristic morphologic, immunophenotypic, cytogenetic, and molecular features. Recent studies have highlighted the role of specific oncogenes, such as TCL-1, MTCP-1, and ATM in the case of T-cell and TP53 mutations in the case of B-cell prolymphocytic leukemia. Despite the advances in the understanding of the biology of these conditions, the prognosis for these patients remains poor with short survival and no curative therapy. The advent of monoclonal antibodies has improved treatment options. Currently, the best treatment for T-PLL is intravenous alemtuzumab, which has resulted in very high response rates of more than 90% when given as first-line treatment and a significant improvement in survival. Consolidation of remissions with autologous or allogeneic stem cell transplantation further prolongs survival, and the latter may offer potential cure. In B-PLL, rituximab-based combination chemo-immunotherapy is effective in fitter patients. TP53 abnormalities are common and, as for chronic lymphocytic leukemia, these patients should be managed using an alemtuzumab-based therapy. The role of allogeneic transplant with nonmyeloablative conditioning needs to be explored further in both T- and B-cell PLL to broaden the patient eligibility for what may be a curative treatment.
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Wang X, Werneck MBF, Wilson BG, Kim HJ, Kluk MJ, Thom CS, Wischhusen JW, Evans JA, Jesneck JL, Nguyen P, Sansam CG, Cantor H, Roberts CWM. TCR-dependent transformation of mature memory phenotype T cells in mice. J Clin Invest 2011; 121:3834-45. [PMID: 21926465 PMCID: PMC3195451 DOI: 10.1172/jci37210] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2011] [Accepted: 08/03/2011] [Indexed: 01/21/2023] Open
Abstract
A fundamental goal in cancer research is the identification of the cell types and signaling pathways capable of initiating and sustaining tumor growth, as this has the potential to reveal therapeutic targets. Stem and progenitor cells have been implicated in the genesis of select lymphoid malignancies. However, the identity of the cells in which mature lymphoid neoplasms are initiated remains unclear. Here, we investigate the origin of peripheral T cell lymphomas using mice in which Snf5, a chromatin remodelling-complex subunit with tumor suppressor activity, could be conditionally inactivated in developing T cells. In this model of mature peripheral T cell lymphomas, the cell of origin was a mature CD44hiCD122loCD8⁺ T cell that resembled a subset of memory cells that has capacity for self-renewal and robust expansion, features shared with stem cells. Further analysis showed that Snf5 loss led to activation of a Myc-driven signaling network and stem cell transcriptional program. Finally, lymphomagenesis and lymphoma proliferation depended upon TCR signaling, establishing what we believe to be a new paradigm for lymphoid malignancy growth. These findings suggest that the self-renewal and robust proliferative capacities of memory T cells are associated with vulnerability to oncogenic transformation. Our findings further suggest that agents that impinge upon TCR signaling may represent an effective therapeutic modality for this class of lethal human cancers.
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Affiliation(s)
- Xi Wang
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA
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Sanchez-Garcia F, Akavia UD, Mozes E, Pe'er D. JISTIC: identification of significant targets in cancer. BMC Bioinformatics 2010; 11:189. [PMID: 20398270 PMCID: PMC2873534 DOI: 10.1186/1471-2105-11-189] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2009] [Accepted: 04/14/2010] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Cancer is caused through a multistep process, in which a succession of genetic changes, each conferring a competitive advantage for growth and proliferation, leads to the progressive conversion of normal human cells into malignant cancer cells. Interrogation of cancer genomes holds the promise of understanding this process, thus revolutionizing cancer research and treatment. As datasets measuring copy number aberrations in tumors accumulate, a major challenge has become to distinguish between those mutations that drive the cancer versus those passenger mutations that have no effect. RESULTS We present JISTIC, a tool for analyzing datasets of genome-wide copy number variation to identify driver aberrations in cancer. JISTIC is an improvement over the widely used GISTIC algorithm. We compared the performance of JISTIC versus GISTIC on a dataset of glioblastoma copy number variation, JISTIC finds 173 significant regions, whereas GISTIC only finds 103 significant regions. Importantly, the additional regions detected by JISTIC are enriched for oncogenes and genes involved in cell-cycle and proliferation. CONCLUSIONS JISTIC is an easy-to-install platform independent implementation of GISTIC that outperforms the original algorithm detecting more relevant candidate genes and regions. The software and documentation are freely available and can be found at: http://www.c2b2.columbia.edu/danapeerlab/html/software.html.
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