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Sud A, Thomsen H, Law PJ, Försti A, Filho MIDS, Holroyd A, Broderick P, Orlando G, Lenive O, Wright L, Cooke R, Easton D, Pharoah P, Dunning A, Peto J, Canzian F, Eeles R, Kote-Jarai ZS, Muir K, Pashayan N, Hoffmann P, Nöthen MM, Jöckel KH, Strandmann EPV, Lightfoot T, Kane E, Roman E, Lake A, Montgomery D, Jarrett RF, Swerdlow AJ, Engert A, Orr N, Hemminki K, Houlston RS. Genome-wide association study of classical Hodgkin lymphoma identifies key regulators of disease susceptibility. Nat Commun 2017; 8:1892. [PMID: 29196614 PMCID: PMC5711884 DOI: 10.1038/s41467-017-00320-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 06/20/2017] [Indexed: 02/08/2023] Open
Abstract
Several susceptibility loci for classical Hodgkin lymphoma have been reported. However, much of the heritable risk is unknown. Here, we perform a meta-analysis of two existing genome-wide association studies, a new genome-wide association study, and replication totalling 5,314 cases and 16,749 controls. We identify risk loci for all classical Hodgkin lymphoma at 6q22.33 (rs9482849, P = 1.52 × 10-8) and for nodular sclerosis Hodgkin lymphoma at 3q28 (rs4459895, P = 9.43 × 10-17), 6q23.3 (rs6928977, P = 4.62 × 10-11), 10p14 (rs3781093, P = 9.49 × 10-13), 13q34 (rs112998813, P = 4.58 × 10-8) and 16p13.13 (rs34972832, P = 2.12 × 10-8). Additionally, independent loci within the HLA region are observed for nodular sclerosis Hodgkin lymphoma (rs9269081, HLA-DPB1*03:01, Val86 in HLA-DRB1) and mixed cellularity Hodgkin lymphoma (rs1633096, rs13196329, Val86 in HLA-DRB1). The new and established risk loci localise to areas of active chromatin and show an over-representation of transcription factor binding for determinants of B-cell development and immune response.
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Affiliation(s)
- Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Hauke Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, 69120, Germany
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Asta Försti
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, 69120, Germany
- Centre for Primary Health Care Research, Lund University, Malmö, 221 00, Sweden
| | | | - Amy Holroyd
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Peter Broderick
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Giulia Orlando
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Oleg Lenive
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Lauren Wright
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Rosie Cooke
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Douglas Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Alison Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany
| | - Rosalind Eeles
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
- Royal Marsden NHS Foundation Trust, London, SM2 5NG, UK
| | - ZSofia Kote-Jarai
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Kenneth Muir
- Institute of Population Health, University of Manchester, Manchester, M1 3BB, UK
- Division of Health Sciences, Warwick Medical School, Warwick University, Warwick, CV4 7AL, UK
| | - Nora Pashayan
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
- Department of Applied Health Research, University College London, London, WC1E 7HB, UK
| | - Per Hoffmann
- Department of Biomedicine, Division of Medical Genetics, University of Basel, Basel, 4031, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, 53127, Germany
| | | | | | - Tracy Lightfoot
- Department of Health Sciences, University of York, York, YO10 5DD, UK
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, YO10 5DD, UK
| | - Eve Roman
- Department of Health Sciences, University of York, York, YO10 5DD, UK
| | - Annette Lake
- MRC University of Glasgow Centre for Virus Research, Glasgow, G61 1QH, UK
| | - Dorothy Montgomery
- MRC University of Glasgow Centre for Virus Research, Glasgow, G61 1QH, UK
| | - Ruth F Jarrett
- MRC University of Glasgow Centre for Virus Research, Glasgow, G61 1QH, UK
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Andreas Engert
- Department of Internal Medicine, University Hospital of Cologne, Cologne, 50937, Germany
| | - Nick Orr
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, 69120, Germany
- Centre for Primary Health Care Research, Lund University, Malmö, 221 00, Sweden
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK.
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Derenzini E, Younes A. Predicting treatment outcome in classical Hodgkin lymphoma: genomic advances. Genome Med 2011; 3:26. [PMID: 21542892 PMCID: PMC3129642 DOI: 10.1186/gm240] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Classical Hodgkin lymphoma is considered a highly curable disease; however, 20% of patients cannot be cured with standard first-line chemotherapy and have a dismal outcome. Current clinical parameters do not allow accurate risk stratification, and personalized therapies are lacking. In fact, Hodgkin lymphoma (HL) is often over- or undertreated because of this lack of accurate risk stratification. In recent years, the early detection of chemoresistance by fluorodeoxyglucose positron emission tomography has become the most important prognostic tool in the management of HL. However, to date, no prognostic scores or molecular markers are available for the early identification of patients at very high risk of failure of induction therapy. In the last decade, many important advances have been made in understanding the biology of HL. In particular, the development of new molecular profiling technologies, such as SNP arrays, comparative genomic hybridization, and gene-expression profiling, have allowed the identification of new prognostic factors that may be useful for risk stratification and predicting response to chemotherapy. In this review, we focus on the prognostic tools and biomarkers that are available for newly diagnosed HL, and we highlight recent advances in the genomic characterization of classical HL and potential targets for therapy.
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Affiliation(s)
- Enrico Derenzini
- Institute of Haematology and Medical Oncology L & A Seràgnoli, University of Bologna, Bologna, 40138 Italy
| | - Anas Younes
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, Texas, USA
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