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Cerhan JR, Berndt SI, Vijai J, Ghesquières H, McKay J, Wang SS, Wang Z, Yeager M, Conde L, de Bakker PIW, Nieters A, Cox D, Burdett L, Monnereau A, Flowers CR, De Roos AJ, Brooks-Wilson AR, Lan Q, Severi G, Melbye M, Gu J, Jackson RD, Kane E, Teras LR, Purdue MP, Vajdic CM, Spinelli JJ, Giles GG, Albanes D, Kelly RS, Zucca M, Bertrand KA, Zeleniuch-Jacquotte A, Lawrence C, Hutchinson A, Zhi D, Habermann TM, Link BK, Novak AJ, Dogan A, Asmann YW, Liebow M, Thompson CA, Ansell SM, Witzig TE, Weiner GJ, Veron AS, Zelenika D, Tilly H, Haioun C, Molina TJ, Hjalgrim H, Glimelius B, Adami HO, Bracci PM, Riby J, Smith MT, Holly EA, Cozen W, Hartge P, Morton LM, Severson RK, Tinker LF, North KE, Becker N, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, Lightfoot T, Crouch S, Smith A, Roman E, Diver WR, Offit K, Zelenetz A, Klein RJ, Villano DJ, Zheng T, Zhang Y, Holford TR, Kricker A, Turner J, Southey MC, Clavel J, Virtamo J, Weinstein S, Riboli E, Vineis P, Kaaks R, Trichopoulos D, Vermeulen RCH, Boeing H, Tjonneland A, Angelucci E, Di Lollo S, Rais M, Birmann BM, et alCerhan JR, Berndt SI, Vijai J, Ghesquières H, McKay J, Wang SS, Wang Z, Yeager M, Conde L, de Bakker PIW, Nieters A, Cox D, Burdett L, Monnereau A, Flowers CR, De Roos AJ, Brooks-Wilson AR, Lan Q, Severi G, Melbye M, Gu J, Jackson RD, Kane E, Teras LR, Purdue MP, Vajdic CM, Spinelli JJ, Giles GG, Albanes D, Kelly RS, Zucca M, Bertrand KA, Zeleniuch-Jacquotte A, Lawrence C, Hutchinson A, Zhi D, Habermann TM, Link BK, Novak AJ, Dogan A, Asmann YW, Liebow M, Thompson CA, Ansell SM, Witzig TE, Weiner GJ, Veron AS, Zelenika D, Tilly H, Haioun C, Molina TJ, Hjalgrim H, Glimelius B, Adami HO, Bracci PM, Riby J, Smith MT, Holly EA, Cozen W, Hartge P, Morton LM, Severson RK, Tinker LF, North KE, Becker N, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, Lightfoot T, Crouch S, Smith A, Roman E, Diver WR, Offit K, Zelenetz A, Klein RJ, Villano DJ, Zheng T, Zhang Y, Holford TR, Kricker A, Turner J, Southey MC, Clavel J, Virtamo J, Weinstein S, Riboli E, Vineis P, Kaaks R, Trichopoulos D, Vermeulen RCH, Boeing H, Tjonneland A, Angelucci E, Di Lollo S, Rais M, Birmann BM, Laden F, Giovannucci E, Kraft P, Huang J, Ma B, Ye Y, Chiu BCH, Sampson J, Liang L, Park JH, Chung CC, Weisenburger DD, Chatterjee N, Fraumeni JF, Slager SL, Wu X, de Sanjose S, Smedby KE, Salles G, Skibola CF, Rothman N, Chanock SJ. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma. Nat Genet 2014; 46:1233-8. [PMID: 25261932 PMCID: PMC4213349 DOI: 10.1038/ng.3105] [Show More Authors] [Citation(s) in RCA: 135] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2014] [Accepted: 09/04/2014] [Indexed: 12/14/2022]
Abstract
Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.
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Affiliation(s)
- James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Hervé Ghesquières
- 1] Department of Hematology, Centre Léon Bérard, Lyon, France. [2] Laboratoire de Biologie Moléculaire de la Cellule, UMR 5239, CNRS, Pierre-Benite, France
| | - James McKay
- Genetic Cancer Susceptibility Group, Section of Genetics, International Agency for Research on Cancer, Lyon, France
| | - Sophia S Wang
- Department of Cancer Etiology, City of Hope Beckman Research Institute, Duarte, California, USA
| | - Zhaoming Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA
| | - Lucia Conde
- 1] Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, Alabama, USA. [2] Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA
| | - Paul I W de Bakker
- 1] Department of Medical Genetics and of Epidemiology, University Medical Center Utrecht, Utrecht, the Netherlands. [2] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | | | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA
| | - Alain Monnereau
- 1] Environmental Epidemiology of Cancer Group, INSERM, Centre for Research in Epidemiology and Population Health (CESP), Villejuif, France. [2] UMRS 1018, Université Paris Sud, Villejuif, France. [3] Registre des Hémopathies Malignes de la Gironde, Institut Bergonié, Bordeaux, France
| | - Christopher R Flowers
- Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Anneclaire J De Roos
- 1] Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA. [2] Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Angela R Brooks-Wilson
- 1] Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada. [2] Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Gianluca Severi
- 1] Human Genetics Foundation, Turin, Italy. [2] Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia. [3] Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia
| | - Mads Melbye
- 1] Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark. [2] Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, Ohio State University, Columbus, Ohio, USA
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, UK
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Claire M Vajdic
- Prince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - John J Spinelli
- 1] Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada. [2] School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Graham G Giles
- 1] Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia. [2] Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Rachel S Kelly
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Medical Research Council (MRC)-Public Health England (PHE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Mariagrazia Zucca
- Department of Biomedical Science, University of Cagliari, Monserrato, Italy
| | - Kimberly A Bertrand
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Anne Zeleniuch-Jacquotte
- 1] Department of Population Health, New York University School of Medicine, New York, New York, USA. [2] Cancer Institute, New York University School of Medicine, New York, New York, USA
| | | | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA
| | - Degui Zhi
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | | | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA
| | - Anne J Novak
- Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Ahmet Dogan
- Department of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Yan W Asmann
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida, USA
| | - Mark Liebow
- Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | - Thomas E Witzig
- Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - George J Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA
| | | | | | | | - Corinne Haioun
- Department of Hematology, Centre Hospitalier Universitaire (CHU) Henri Mondor, Creteil, France
| | - Thierry Jo Molina
- Department of Pathology, Necker Enfants Malades, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
| | - Bengt Glimelius
- 1] Department of Oncology and Pathology, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden. [2] Department of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala, Sweden
| | - Hans-Olov Adami
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Jacques Riby
- 1] Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, Alabama, USA. [2] Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Wendy Cozen
- 1] Department of Preventive Medicine, University of Southern California Keck School of Medicine, University of Southern California, Los Angeles, California, USA. [2] Norris Comprehensive Cancer Center, University of Southern California Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Kari E North
- 1] Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Yolanda Benavente
- 1] Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain. [2] Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Paolo Boffetta
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Paul Brennan
- Group of Genetic Epidemiology, Section of Genetics, International Agency for Research on Cancer, Lyon, France
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and Masaryk University, Brno, Czech Republic
| | - Marc Maynadie
- Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon, France
| | - Anthony Staines
- School of Nursing and Human Sciences, Dublin City University, Dublin, Ireland
| | | | - Simon Crouch
- Department of Health Sciences, University of York, York, UK
| | - Alex Smith
- Department of Health Sciences, University of York, York, UK
| | - Eve Roman
- Department of Health Sciences, University of York, York, UK
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Andrew Zelenetz
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Robert J Klein
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Danylo J Villano
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Tongzhang Zheng
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA
| | - Anne Kricker
- Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Jenny Turner
- 1] Pathology, Australian School of Advanced Medicine, Macquarie University, Sydney, New South Wales, Australia. [2] Department of Histopathology, Douglass Hanly Moir Pathology, Macquarie Park, New South Wales, Australia
| | - Melissa C Southey
- Department of Pathology, University of Melbourne, Parkville, Victoria, Australia
| | - Jacqueline Clavel
- 1] Environmental Epidemiology of Cancer Group, INSERM, Centre for Research in Epidemiology and Population Health (CESP), Villejuif, France. [2] UMRS 1018, Université Paris Sud, Villejuif, France
| | - Jarmo Virtamo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Paolo Vineis
- 1] Human Genetics Foundation, Turin, Italy. [2] Medical Research Council (MRC)-Public Health England (PHE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dimitrios Trichopoulos
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece. [3] Hellenic Health Foundation, Athens, Greece
| | - Roel C H Vermeulen
- 1] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands. [2] Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Heiner Boeing
- Department of Epidemiology, German Institute for Human Nutrition, Potsdam, Germany
| | | | - Emanuele Angelucci
- Hematology Unit, Ospedale Oncologico di Riferimento Regionale A. Businco, Cagliari, Italy
| | - Simonetta Di Lollo
- Department of Surgery and Translational Medicine, Section of Anatomo-Pathology, University of Florence, Florence, Italy
| | - Marco Rais
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Italy
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Francine Laden
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [3] Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Edward Giovannucci
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [3] Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Peter Kraft
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Jinyan Huang
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Baoshan Ma
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] College of Information Science and Technology, Dalian Maritime University, Dalian, China
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Brian C H Chiu
- Department of Health Studies, University of Chicago, Chicago, Illinois, USA
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Liming Liang
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
| | | | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Dennis D Weisenburger
- Department of Pathology, City of Hope National Medical Center, Duarte, California, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Silvia de Sanjose
- 1] Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain. [2] Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Karin E Smedby
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Gilles Salles
- 1] Laboratoire de Biologie Moléculaire de la Cellule, UMR 5239, CNRS, Pierre-Benite, France. [2] Department of Hematology, Hospices Civils de Lyon, Pierre-Benite, France. [3] Department of Hematology, Université Lyon 1, Pierre-Benite, France
| | - Christine F Skibola
- 1] Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, Alabama, USA. [2] Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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Barry KH, Moore LE, Sampson J, Yan L, Meyer A, Oler AJ, Chung CC, Wang Z, Yeager M, Amundadottir L, Berndt SI. DNA methylation levels at chromosome 8q24 in peripheral blood are associated with 8q24 cancer susceptibility loci. Cancer Prev Res (Phila) 2014; 7:1282-92. [PMID: 25315430 DOI: 10.1158/1940-6207.capr-14-0132] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Chromosome 8q24 has emerged as an important region for genetic susceptibility to various cancers, but little is known about the contribution of DNA methylation at 8q24. To evaluate variability in DNA methylation levels at 8q24 and the relationship with cancer susceptibility single nucleotide polymorphisms (SNPs) in this region, we quantified DNA methylation levels in peripheral blood at 145 CpG sites nearby 8q24 cancer susceptibility SNPs or MYC using pyrosequencing among 80 Caucasian men in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. For the 60 CpG sites meeting quality control, which also demonstrated temporal stability over a 5-year period, we calculated pairwise Spearman correlations for DNA methylation levels at each CpG site with 42 8q24 cancer susceptibility SNPs. To account for multiple testing, we adjusted P values into q values reflecting the false discovery rate (FDR). In contrast to the MYC CpG sites, most sites nearby the SNPs demonstrated good reproducibility, high methylation levels, and moderate-high between-individual variation. We observed 10 statistically significant (FDR < 0.05) CpG site-SNP correlations. These included correlations between an intergenic CpG site at Chr8:128393157 and the prostate cancer SNP rs16902094 (ρ = -0.54; P = 9.7 × 10(-7); q = 0.002), a PRNCR1 CpG site at Chr8:128167809 and the prostate cancer SNP rs1456315 (ρ = 0.52; P = 1.4 × 10(-6); q = 0.002), and two POU5F1B CpG sites and several prostate/colorectal cancer SNPs (for Chr8:128498051 and rs6983267, ρ = 0.46; P = 2.0 × 10(-5); q = 0.01). This is the first report of correlations between blood DNA methylation levels and cancer susceptibility SNPs at 8q24, suggesting that DNA methylation at this important susceptibility locus may contribute to cancer risk.
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Affiliation(s)
- Kathryn Hughes Barry
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.
| | - Lee E Moore
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Joshua Sampson
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Liying Yan
- EpigenDx, Inc., Hopkinton, Massachusetts
| | - Ann Meyer
- EpigenDx, Inc., Hopkinton, Massachusetts
| | - Andrew J Oler
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland
| | - Charles C Chung
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Zhaoming Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Laufey Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Sonja I Berndt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
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Novel treatment options for Waldenström macroglobulinemia. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2014; 13 Suppl 2:S310-6. [PMID: 24290218 DOI: 10.1016/j.clml.2013.05.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2013] [Accepted: 05/06/2013] [Indexed: 12/17/2022]
Abstract
Waldenström macroglobulinemia (WM), first described by Jan Waldenström in 1944, is a lymphoplasmacytic lymphoma characterized by the presence of an immunoglobulin M monoclonal gammopathy in the blood and monoclonal small lymphocytes and lymphoplasmacytoid cells in the bone marrow. WM is a rare and indolent disease but remains incurable. In this review we discuss the pathogenesis of WM and focus on novel treatment options that target pathways deregulated in this disease. Recent studies have helped us identify specific genetic mutations that are commonly seen in WM and might prove to be important therapeutic targets in the future. We discuss the role of epigenetics and the changes in the bone marrow microenvironment that are important in the pathogenesis of WM. The commonly used drugs are discussed with a focus on novel agents that are currently being used as single agents or in combination to treat WM. We finally focus on some agents that have shown preclinical efficacy and might be available in the near future.
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Ding J, Li D, Gong M, Wang J, Huang X, Wu T, Wang C. Expression and clinical significance of the long non-coding RNA PVT1 in human gastric cancer. Onco Targets Ther 2014; 7:1625-30. [PMID: 25258543 PMCID: PMC4172193 DOI: 10.2147/ott.s68854] [Citation(s) in RCA: 107] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Highly sensitive markers are urgently needed for the diagnosis and grading of gastric cancer and for managing drug resistance. The recent identification of long-non-coding RNAs (lncRNAs) has provided new approaches for resolving this challenge. The aim of this study was to screen and identify new biomarkers for human gastric cancer from lncRNAs. METHODS First, we used lncRNA microarrays to conduct a preliminary screening for candidate lncRNAs of gastric cancer biomarkers in both human gastric cancer tissues and in two gastric cancer cell lines, SGC7901 cells and paclitaxel-resistant SGC7901 cells. The lncRNA plasma-cytoma variant translocation 1 (PVT1) was found to exhibit higher expression in both gastric cancer tissues and the SGC7901 paclitaxel-resistant cell line. Quantitative polymerase chain reaction was used for large-scale analysis in a large number of human gastric cancer tissues to verify the involvement of PVT1 in development of gastric cancer. The relationships between PVT1 expression and clinical features were also analyzed. RESULTS PVT1 showed higher expression in human gastric cancer tissues than in adjacent non-cancerous tissues and in SGC7901 paclitaxel-resistant cells compared with SGC7901 cells. PVT1 expression was correlated with lymph node invasion of gastric cancer. CONCLUSION PVT1 is a new biomarker for human gastric cancer and may indicate lymph node invasion. Therefore, PVT1 shows potential as a novel therapeutic target for the treatment of gastric cancer and enhancement of paclitaxel sensitivity.
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Affiliation(s)
- Jian Ding
- Digestive Department of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Dan Li
- Digestive Department of Union Hospital of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Minzhen Gong
- Digestive Department of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Jinpo Wang
- Digestive Department of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Xunru Huang
- Digestive Department of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Ting Wu
- Digestive Department of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Chengdang Wang
- Digestive Department of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
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Kushekhar K, van den Berg A, Nolte I, Hepkema B, Visser L, Diepstra A. Genetic associations in classical hodgkin lymphoma: a systematic review and insights into susceptibility mechanisms. Cancer Epidemiol Biomarkers Prev 2014; 23:2737-47. [PMID: 25205514 DOI: 10.1158/1055-9965.epi-14-0683] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Both targeted and genome-wide studies have revealed genetic associations for susceptibility, prognosis, and treatment-induced secondary malignancies and toxicities in classical Hodgkin lymphoma (cHL). This review gives a systematic and comprehensive overview of significant associations and places them into a biologic context. The strongest susceptibility polymorphisms have been found for the human leukocyte antigen (HLA) genes. These associations are specific for cHL overall or for subgroups based on tumor cell Epstein-Barr virus (EBV) status. These findings strongly suggest that EBV-specific immune responses influence cHL susceptibility in EBV(+) cHL and that immune responses targeting other tumor-associated antigens are important in EBV(-) cHL. Accordingly, most of the numerous other susceptibility loci map to genes that affect functionality of the immune system, underscoring the crucial role of the immune system in cHL development. The number of association studies on cHL prognosis is limited with one consistent association for the drug-metabolizing UGT1A1 gene. PRDM1 is associated with radiation-induced secondary malignancies and a small number of genes are associated with treatment-related toxicities. In conclusion, most loci showing genetic associations in cHL harbor genes with a potential functional relevance for cHL susceptibility.
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Affiliation(s)
- Kushi Kushekhar
- Department of Pathology and Medical Biology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Anke van den Berg
- Department of Pathology and Medical Biology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Ilja Nolte
- Department of Epidemiology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Bouke Hepkema
- Department of Laboratory Medicine, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Lydia Visser
- Department of Pathology and Medical Biology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.
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Küppers R, Dührsen U, Hansmann ML. Pathogenesis, diagnosis, and treatment of composite lymphomas. Lancet Oncol 2014; 15:e435-46. [DOI: 10.1016/s1470-2045(14)70153-6] [Citation(s) in RCA: 97] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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107
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Prognostic factors in hodgkin lymphoma. Mediterr J Hematol Infect Dis 2014; 6:e2014053. [PMID: 25045461 PMCID: PMC4103502 DOI: 10.4084/mjhid.2014.053] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Accepted: 07/02/2014] [Indexed: 12/12/2022] Open
Abstract
Hodgkin lymphoma (HL) is among the neoplastic diseases that has the best long-term outcome after cytotoxic treatment. Cure rates approach 80–90%; however, 15–20% of patients will be resistant to therapy (primary refractory) or relapse after treatment. Prognostic factors should help to stratify treatment according to the risk profile and identify patients at risk for failure. Significance of prognostic factors partly depends on the efficacy of the treatments administered, since new effective therapies can variably counterbalance the adverse effects of some unfavorable clinical determinants. As a consequence, some prognostic factors thought to be important in the past may become meaningless when modern successful therapies are used. Therefore, the value of prognostic factors has to be updated periodically, and then adapted to new emerging biomarkers. Besides the prognostic role of PET imaging, tissue and circulating biomarkers, as the number of tumor-infiltrating macrophages, cytokine and chemokine levels and profiling of circulating nucleic acids (DNA and microRNAs) have shown promise.
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108
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A common variant at 8q24.21 is associated with renal cell cancer. Nat Commun 2014; 4:2776. [PMID: 24220699 DOI: 10.1038/ncomms3776] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Accepted: 10/15/2013] [Indexed: 12/30/2022] Open
Abstract
Renal cell carcinoma (RCC) represents between 80 and 90% of kidney cancers. Previous genome-wide association studies of RCC have identified five variants conferring risk of the disease. Here we report the results from a discovery RCC genome-wide association study and replication analysis, including a total of 2,411 patients and 71,497 controls. One variant, rs35252396[CG] located at 8q24.21, is significantly associated with RCC after combining discovery and replication results (OR=1.27, P(combined)=5.4 × 10(-11)) and has an average risk allele frequency in controls of 46%. rs35252396[CG] does not have any strongly correlated variants in the genome and is located within a region predicted to have regulatory functions in several cell lines, including six originating from the kidney. This is the first RCC variant reported at 8q24.21 and it is largely independent (r(2)≤0.02) of the numerous previously reported cancer risk variants at this locus.
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109
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Cozen W, Timofeeva MN, Li D, Diepstra A, Hazelett D, Delahaye-Sourdeix M, Edlund CK, Franke L, Rostgaard K, Van Den Berg DJ, Cortessis VK, Smedby KE, Glaser SL, Westra HJ, Robison LL, Mack TM, Ghesquieres H, Hwang AE, Nieters A, de Sanjose S, Lightfoot T, Becker N, Maynadie M, Foretova L, Roman E, Benavente Y, Rand KA, Nathwani BN, Glimelius B, Staines A, Boffetta P, Link BK, Kiemeney L, Ansell SM, Bhatia S, Strong LC, Galan P, Vatten L, Habermann TM, Duell EJ, Lake A, Veenstra RN, Visser L, Liu Y, Urayama KY, Montgomery D, Gaborieau V, Weiss LM, Byrnes G, Lathrop M, Cocco P, Best T, Skol AD, Adami HO, Melbye M, Cerhan JR, Gallagher A, Taylor GM, Slager SL, Brennan P, Coetzee GA, Conti DV, Onel K, Jarrett RF, Hjalgrim H, van den Berg A, McKay JD. A meta-analysis of Hodgkin lymphoma reveals 19p13.3 TCF3 as a novel susceptibility locus. Nat Commun 2014; 5:3856. [PMID: 24920014 PMCID: PMC4055950 DOI: 10.1038/ncomms4856] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2013] [Accepted: 04/11/2014] [Indexed: 12/20/2022] Open
Abstract
Recent genome-wide association studies (GWAS) of Hodgkin lymphoma (HL) have identified associations with genetic variation at both HLA and non-HLA loci; however, much of heritable HL susceptibility remains unexplained. Here we perform a meta-analysis of three HL GWAS totaling 1,816 cases and 7,877 controls followed by replication in an independent set of 1,281 cases and 3,218 controls to find novel risk loci. We identify a novel variant at 19p13.3 associated with HL (rs1860661; odds ratio (OR)=0.81, 95% confidence interval (95% CI) = 0.76-0.86, P(combined) = 3.5 × 10(-10)), located in intron 2 of TCF3 (also known as E2A), a regulator of B- and T-cell lineage commitment known to be involved in HL pathogenesis. This meta-analysis also notes associations between previously published loci at 2p16, 5q31, 6p31, 8q24 and 10p14 and HL subtypes. We conclude that our data suggest a link between the 19p13.3 locus, including TCF3, and HL risk.
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Affiliation(s)
- W Cozen
- 1] USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA [2]
| | - M N Timofeeva
- 1] International Agency for Research on Cancer (IARC), 69372 Lyon, France [2] Institute of Genetics and Molecular Medicine, University of Edinburgh, EH4 2XU Edinburgh, UK [3]
| | | | - A Diepstra
- 1] University of Groningen, University Medical Centre Groningen, 9700 RB Groningen, The Netherlands [2]
| | - D Hazelett
- 1] USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA [2]
| | - M Delahaye-Sourdeix
- 1] International Agency for Research on Cancer (IARC), 69372 Lyon, France [2]
| | - C K Edlund
- USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA
| | - L Franke
- University of Groningen, University Medical Centre Groningen, 9700 RB Groningen, The Netherlands
| | - K Rostgaard
- Statens Serum Institut, DK-2300 Copenhagen, Denmark
| | - D J Van Den Berg
- USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA
| | - V K Cortessis
- USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA
| | - K E Smedby
- Karolinska Institutet and Karolinska University Hospital, S-221 00 Stockholm, Sweden
| | - S L Glaser
- Cancer Prevention Institute of California, Fremont, California 94538, USA
| | - H-J Westra
- University of Groningen, University Medical Centre Groningen, 9700 RB Groningen, The Netherlands
| | - L L Robison
- St Jude Children's Hospital, Cordova, Tennessee 38105, USA
| | - T M Mack
- USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA
| | - H Ghesquieres
- Centre Léon Bérard, UMR CNRS 5239-Université Lyon 1, 69008 Lyon, France
| | - A E Hwang
- USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA
| | - A Nieters
- University Medical Centre Freiburg, D-79085 Freiburg, Germany
| | - S de Sanjose
- IDIBELL Institut Català d'Oncologia, 8907 Barcelona, Spain
| | | | - N Becker
- German Cancer Research Centre, D-69120 Heidelberg, Germany
| | - M Maynadie
- CHU de Dijon, EA 4184, University of Burgundy, 21070 Dijon, France
| | - L Foretova
- Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic
| | - E Roman
- University of York, YO10 5DD York, UK
| | - Y Benavente
- IDIBELL Institut Català d'Oncologia, 8907 Barcelona, Spain
| | - K A Rand
- USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA
| | - B N Nathwani
- City of Hope National Medical Center, Duarte, California 91010, USA
| | | | - A Staines
- School of Nursing and Human Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland
| | - P Boffetta
- Icahn School of Medicine at Mount Sinai, New York City, New York 10029-6574, USA
| | - B K Link
- University of Iowa College of Medicine, Iowa City, Iowa 52242, USA
| | - L Kiemeney
- Radboud University Nijmegen Medical Centre, 6500HB Nijmegen, The Netherlands
| | - S M Ansell
- Mayo Clinic, Rochester, Minnesota 55905, USA
| | - S Bhatia
- City of Hope National Medical Center, Duarte, California 91010, USA
| | - L C Strong
- MD Anderson Cancer Center, University of Texas, Houston, Texas 77030, USA
| | - P Galan
- INSERM U557 (UMR Inserm; INRA; CNAM, Université Paris 13), 93017 Paris, France
| | - L Vatten
- Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
| | | | - E J Duell
- IDIBELL Institut Català d'Oncologia, 8907 Barcelona, Spain
| | - A Lake
- MRC University of Glasgow Centre for Virus Research, Garscube Estate, University of Glasgow, G12 8QQ Glasgow, Scotland, UK
| | - R N Veenstra
- University of Groningen, University Medical Centre Groningen, 9700 RB Groningen, The Netherlands
| | - L Visser
- University of Groningen, University Medical Centre Groningen, 9700 RB Groningen, The Netherlands
| | - Y Liu
- University of Groningen, University Medical Centre Groningen, 9700 RB Groningen, The Netherlands
| | - K Y Urayama
- Department of Human Genetics and Disease Diversity, Tokyo Medical and Dental University, Tokyo 104-0044, Japan
| | - D Montgomery
- MRC University of Glasgow Centre for Virus Research, Garscube Estate, University of Glasgow, G12 8QQ Glasgow, Scotland, UK
| | - V Gaborieau
- International Agency for Research on Cancer (IARC), 69372 Lyon, France
| | - L M Weiss
- Clarient Pathology Services, Aliso Viejo, California 92656, USA
| | - G Byrnes
- International Agency for Research on Cancer (IARC), 69372 Lyon, France
| | - M Lathrop
- Genome Quebec, Montreal, Canada H3A 0G1
| | - P Cocco
- Institute of Occupational Health, University of Cagliari, Monserrato, 09042 Cagliari, Italy
| | - T Best
- The University of Chicago, Chicago, Illinois 60637-5415, USA
| | - A D Skol
- The University of Chicago, Chicago, Illinois 60637-5415, USA
| | - H-O Adami
- 1] Karolinska Institutet and Karolinska University Hospital, S-221 00 Stockholm, Sweden [2] Harvard University School of Public Health, Boston, Massachusetts 02115, USA
| | - M Melbye
- Statens Serum Institut, DK-2300 Copenhagen, Denmark
| | - J R Cerhan
- Mayo Clinic, Rochester, Minnesota 55905, USA
| | - A Gallagher
- MRC University of Glasgow Centre for Virus Research, Garscube Estate, University of Glasgow, G12 8QQ Glasgow, Scotland, UK
| | - G M Taylor
- School of Cancer Sciences, University of Manchester, St Mary's Hospital, M13 0JH Manchester, UK
| | - S L Slager
- Mayo Clinic, Rochester, Minnesota 55905, USA
| | - P Brennan
- International Agency for Research on Cancer (IARC), 69372 Lyon, France
| | - G A Coetzee
- USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA
| | - D V Conti
- USC Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California 90089-9175, USA
| | - K Onel
- 1] The University of Chicago, Chicago, Illinois 60637-5415, USA [2]
| | - R F Jarrett
- 1] MRC University of Glasgow Centre for Virus Research, Garscube Estate, University of Glasgow, G12 8QQ Glasgow, Scotland, UK [2]
| | - H Hjalgrim
- 1] Statens Serum Institut, DK-2300 Copenhagen, Denmark [2]
| | - A van den Berg
- 1] University of Groningen, University Medical Centre Groningen, 9700 RB Groningen, The Netherlands [2]
| | - J D McKay
- 1] International Agency for Research on Cancer (IARC), 69372 Lyon, France [2]
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Glaser SL, Clarke CA, Chang ET, Yang J, Gomez SL, Keegan TH. Hodgkin lymphoma incidence in California Hispanics: influence of nativity and tumor Epstein-Barr virus. Cancer Causes Control 2014; 25:709-25. [PMID: 24722952 PMCID: PMC5759958 DOI: 10.1007/s10552-014-0374-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Accepted: 03/21/2014] [Indexed: 01/07/2023]
Abstract
PURPOSE For classical Hodgkin lymphoma (HL), migrant studies could elucidate contributions of environmental factors (including Epstein-Barr virus (EBV)) to the lower rates in non-whites. Given the well-described etiologic complexity of HL, this research requires a large, immigrant population, such as California Hispanics. METHODS With 1988-2004 California Cancer Registry data (2,595 Hispanic, 8,637 white HL cases) and tumor cell EBV status on a subset (218 Hispanics, 656 whites), we calculated ethnicity- and nativity-specific HL incidence rates simultaneously by age, sex, and histologic subtype, and tumor cell EBV prevalence. RESULTS Compared with white rates, Hispanic HL rates were lower overall (70 %) and for nodular sclerosis HL, particularly among young adults (60-65 % for females). However, they were higher among children (200 %) and older adults, and for mixed cellularity HL. Compared with rates in foreign-born Hispanics, rates in US-born Hispanics were higher among young adults (>threefold in females), lower for children and adults over age 70, and consistently intermediate compared with rates in whites. EBV tumor prevalence was 67, 32, and 23 % among foreign-born Hispanics, US-born Hispanics, and whites, respectively, although with variation by age, sex, and histology. CONCLUSIONS Findings strongly implicate environmental influences, such as nativity-related sociodemographic differences, on HL occurrence. In addition, lower young adult rates and higher EBV prevalence in US-born Hispanics than in whites raise questions about the duration/extent of environmental change for affecting HL rates and also point to ethnic differences in genetic susceptibility. Lesser variation in mixed cellularity HL rates and greater variation in rates for females across groups suggest less modifiable factors interacting with environmental influences.
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Affiliation(s)
- S L Glaser
- Cancer Prevention Institute of California, 2201 Walnut Avenue, Suite 300, Fremont, CA, 94538, USA,
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111
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Rostgaard K, Wohlfahrt J, Hjalgrim H. A Genetic Basis for Infectious Mononucleosis: Evidence From a Family Study of Hospitalized Cases in Denmark. Clin Infect Dis 2014; 58:1684-9. [DOI: 10.1093/cid/ciu204] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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Fairfax BP, Humburg P, Makino S, Naranbhai V, Wong D, Lau E, Jostins L, Plant K, Andrews R, McGee C, Knight JC. Innate immune activity conditions the effect of regulatory variants upon monocyte gene expression. Science 2014; 343:1246949. [PMID: 24604202 PMCID: PMC4064786 DOI: 10.1126/science.1246949] [Citation(s) in RCA: 570] [Impact Index Per Article: 51.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
To systematically investigate the impact of immune stimulation upon regulatory variant activity, we exposed primary monocytes from 432 healthy Europeans to interferon-γ (IFN-γ) or differing durations of lipopolysaccharide and mapped expression quantitative trait loci (eQTLs). More than half of cis-eQTLs identified, involving hundreds of genes and associated pathways, are detected specifically in stimulated monocytes. Induced innate immune activity reveals multiple master regulatory trans-eQTLs including the major histocompatibility complex (MHC), coding variants altering enzyme and receptor function, an IFN-β cytokine network showing temporal specificity, and an interferon regulatory factor 2 (IRF2) transcription factor-modulated network. Induced eQTL are significantly enriched for genome-wide association study loci, identifying context-specific associations to putative causal genes including CARD9, ATM, and IRF8. Thus, applying pathophysiologically relevant immune stimuli assists resolution of functional genetic variants.
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Affiliation(s)
- Benjamin P. Fairfax
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Peter Humburg
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Seiko Makino
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Vivek Naranbhai
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Daniel Wong
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Evelyn Lau
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Luke Jostins
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Katharine Plant
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Robert Andrews
- Wellcome Trust Sanger Institute, University of Cambridge, Hinxton CB10 1SA, UK
| | - Chris McGee
- Wellcome Trust Sanger Institute, University of Cambridge, Hinxton CB10 1SA, UK
| | - Julian C. Knight
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
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Lim U, Kocarnik JM, Bush WS, Matise TC, Caberto C, Park SL, Carlson CS, Deelman E, Duggan D, Fesinmeyer M, Haiman CA, Henderson BE, Hindorff LA, Kolonel LN, Peters U, Stram DO, Tiirikainen M, Wilkens LR, Wu C, Kooperberg C, Le Marchand L. Pleiotropy of cancer susceptibility variants on the risk of non-Hodgkin lymphoma: the PAGE consortium. PLoS One 2014; 9:e89791. [PMID: 24598796 PMCID: PMC3943855 DOI: 10.1371/journal.pone.0089791] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2013] [Accepted: 01/27/2014] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Risk of non-Hodgkin lymphoma (NHL) is higher among individuals with a family history or a prior diagnosis of other cancers. Genome-wide association studies (GWAS) have suggested that some genetic susceptibility variants are associated with multiple complex traits (pleiotropy). OBJECTIVE We investigated whether common risk variants identified in cancer GWAS may also increase the risk of developing NHL as the first primary cancer. METHODS As part of the Population Architecture using Genomics and Epidemiology (PAGE) consortium, 113 cancer risk variants were analyzed in 1,441 NHL cases and 24,183 controls from three studies (BioVU, Multiethnic Cohort Study, Women's Health Initiative) for their association with the risk of overall NHL and common subtypes [diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL)] using an additive genetic model adjusted for age, sex and ethnicity. Study-specific results for each variant were meta-analyzed across studies. RESULTS The analysis of NHL subtype-specific GWAS SNPs and overall NHL suggested a shared genetic susceptibility between FL and DLBCL, particularly involving variants in the major histocompatibility complex region (rs6457327 in 6p21.33: FL OR=1.29, p=0.013; DLBCL OR=1.23, p=0.013; NHL OR=1.22, p=5.9 × E-05). In the pleiotropy analysis, six risk variants for other cancers were associated with NHL risk, including variants for lung (rs401681 in TERT: OR per C allele=0.89, p=3.7 × E-03; rs4975616 in TERT: OR per A allele=0.90, p=0.01; rs3131379 in MSH5: OR per T allele=1.16, p=0.03), prostate (rs7679673 in TET2: OR per C allele=0.89, p=5.7 × E-03; rs10993994 in MSMB: OR per T allele=1.09, p=0.04), and breast (rs3817198 in LSP1: OR per C allele=1.12, p=0.01) cancers, but none of these associations remained significant after multiple test correction. CONCLUSION This study does not support strong pleiotropic effects of non-NHL cancer risk variants in NHL etiology; however, larger studies are warranted.
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Affiliation(s)
- Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Jonathan M. Kocarnik
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - William S. Bush
- Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Tara C. Matise
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Christian Caberto
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Sungshim Lani Park
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Christopher S. Carlson
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Ewa Deelman
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - David Duggan
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Megan Fesinmeyer
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, Washington, United States of America
| | - Christopher A. Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Brian E. Henderson
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Lucia A. Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Laurence N. Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Ulrike Peters
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Daniel O. Stram
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Maarit Tiirikainen
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Lynne R. Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Chunyuan Wu
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Charles Kooperberg
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
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Abstract
Next-generation sequencing (NGS) has enabled whole-exome and whole-genome sequencing of tumors for causative mutations, allowing for more accurate targeting of therapies. In the process of sequencing the tumor, comparisons to the germline genome may identify variants associated with susceptibility to cancer as well as other hereditary diseases. Already, the combination of massively parallel sequencing and selective capture approaches has facilitated efficient simultaneous genetic analysis (multiplex testing) of large numbers of candidate genes. As the field of oncology incorporates NGS approaches into tumor and germline analyses, it has become clear that the ability to achieve high-throughput genotyping surpasses our current ability to interpret and appropriately apply the vast amounts of data generated from such technologies. A review of the current state of knowledge of rare and common genetic variants associated with cancer risk or treatment outcome reveals significant progress, as well as a number of challenges associated with the clinical translation of these discoveries. The combined efforts of oncologists, genetic counselors, and cancer geneticists will be required to drive the paradigm shift toward personalized or precision medicine and to ensure the incorporation of NGS technologies into the practice of preventive oncology.
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Affiliation(s)
- Zsofia K. Stadler
- All authors: Memorial Sloan-Kettering Cancer Center; Zsofia K. Stadler, Mark E. Robson, and Kenneth Offit, Weill Cornell Medical College, New York, NY
| | - Kasmintan A. Schrader
- All authors: Memorial Sloan-Kettering Cancer Center; Zsofia K. Stadler, Mark E. Robson, and Kenneth Offit, Weill Cornell Medical College, New York, NY
| | - Joseph Vijai
- All authors: Memorial Sloan-Kettering Cancer Center; Zsofia K. Stadler, Mark E. Robson, and Kenneth Offit, Weill Cornell Medical College, New York, NY
| | - Mark E. Robson
- All authors: Memorial Sloan-Kettering Cancer Center; Zsofia K. Stadler, Mark E. Robson, and Kenneth Offit, Weill Cornell Medical College, New York, NY
| | - Kenneth Offit
- All authors: Memorial Sloan-Kettering Cancer Center; Zsofia K. Stadler, Mark E. Robson, and Kenneth Offit, Weill Cornell Medical College, New York, NY
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Morgan GJ, Johnson DC, Weinhold N, Goldschmidt H, Landgren O, Lynch HT, Hemminki K, Houlston RS. Inherited genetic susceptibility to multiple myeloma. Leukemia 2014; 28:518-24. [PMID: 24247655 DOI: 10.1038/leu.2013.344] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Revised: 10/15/2013] [Accepted: 10/17/2013] [Indexed: 12/29/2022]
Abstract
Although the familial clustering of multiple myeloma (MM) supports the role of inherited susceptibility, only recently has direct evidence for genetic predisposition been demonstrated. A meta-analysis of two genome-wide association (GWA) studies has identified single-nucleotide polymorphisms (SNPs) localising to a number of genomic regions that are robustly associated with MM risk. In this review, we provide an overview of the evidence supporting a genetic contribution to the predisposition to MM and MGUS (monoclonal gammopathy of unknown significance), and the insight this gives into the biological basis of disease aetiology. We also highlight the promise of future approaches to identify further specific risk factors and their potential clinical utility.
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Affiliation(s)
- G J Morgan
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - D C Johnson
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - N Weinhold
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - H Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - O Landgren
- Multiple Myeloma Section, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - H T Lynch
- Department of Preventive Medicine, Creighton's Hereditary Cancer Center, Omaha, NE, USA
| | - K Hemminki
- 1] Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany [2] Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - R S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
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116
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Kang JU. Chromosome 8q as the most frequent target for amplification in early gastric carcinoma. Oncol Lett 2014; 7:1139-1143. [PMID: 24944681 PMCID: PMC3961457 DOI: 10.3892/ol.2014.1849] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Accepted: 01/15/2014] [Indexed: 12/12/2022] Open
Abstract
Early gastric carcinoma (GC) is considered to be a curable cancer, as it progresses to the advanced stage following varying durations. Understanding the early stage of GC may provide an insight into its pathogenesis and contribute to reducing the mortality rate of this disease. To investigate the genomic aberrations associated with 22 cases of early GC, high-density microarray comparative genomic hybridization was performed in the present study. The most notable finding was copy number gains (log2 ratio >0.25) on the long arm of chromosome 8, which occurred in 77.3% (17/22) of GC cases, and the delineated minimal common region was 8q22.1-q24.3. More specifically, two amplified (log2 ratio >1) loci in the 8q22.1-q24.3 region were detected in 18.2% (4/22) of GC cases. The first loci covered a region of 102.4–107.9 kb, mapping on 8q22.3-q23.1, and comprised the transcription factor CP2-like 3 gene. The second loci, spanning 128.7–145.7 kb on 8q24.21-q24.3, comprised the representative oncogene of myelocytomatosis. Furthermore, the following possible target genes that were not previously considered to play a pathogenic role in GC were identified: Plasmacytoma variant translocation 1, cysteine/histidine rich 1, kinesin family member C2, forkhead box H1, protein phosphatase 1 regulatory subunit 16A, glutamic-pyruvate transaminase, LOC113655 and RecQ protein-like 4. In the present study, previous findings showing that 8q mutations accumulate early during the multistage pathogenesis of GC were confirmed and expanded upon. The confirmation of previously reported 8q gains and the identification of novel target genes at 8q22.1-q24.3 amplified chromosomal sites should aid in improving our understanding of the molecular mechanisms underlying the tumorigenesis of early GC.
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Affiliation(s)
- Ji Un Kang
- Department of Biomedical Laboratory Science, Korea Nazarene University, Cheonan 330-718, Republic of Korea
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117
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Genome-wide association studies of cancer predisposition. Mol Oncol 2013. [DOI: 10.1017/cbo9781139046947.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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118
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Su WH, Hildesheim A, Chang YS. Human leukocyte antigens and epstein-barr virus-associated nasopharyngeal carcinoma: old associations offer new clues into the role of immunity in infection-associated cancers. Front Oncol 2013; 3:299. [PMID: 24367763 PMCID: PMC3856645 DOI: 10.3389/fonc.2013.00299] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2013] [Accepted: 11/26/2013] [Indexed: 12/18/2022] Open
Abstract
Nasopharyngeal carcinoma (NPC) is an Epstein–Barr virus (EBV) associated tumor. In addition to EBV, host genetic factors are believed to be important determinants of NPC risk. Of all genes studies to date, human leukocyte antigen (HLA) genes have shown the most consistent evidence for association with NPC, both from candidate-gene studies and genome-wide association studies (GWAS). In this report we summarize results from recent studies that evaluated the association between HLA and NPC, and discuss whether findings reflect direct causal associations for HLA genes and/or indirect associations that mark causal associations with other genes in the gene-dense major histocompatibility (MHC) region where HLA resides. We also compare GWAS results across cancer sites for which strong hits in the MHC region were observed to generate new hypotheses regarding the role of HLA genes in the development of EBV-associated cancers such as NPC. Of note, we report that MHC associations for EBV-associated cancers (NPC, EBV+ Hodgkin lymphoma) are driven by HLA class I genes. In contrast, MHC associations for other viral-associated cancers (cervical cancer, hepatocellular carcinoma) or other hematopoetic cancers (EBV− Hodgkin lymphoma, leukemia, non-Hodgkin lymphomas) are driven by HLA class II genes, and those for other solid tumors with less clear links to infections (lung, testicular, prostate cancers) are driven by non-HLA genes in the MHC region. Future studies should aim to better understand these patterns.
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Affiliation(s)
- Wen-Hui Su
- Department of Biomedical Sciences, Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University , Taoyuan , Taiwan ; Chang Gung Molecular Medicine Research Center, Chang Gung University , Taoyuan , Taiwan
| | - Allan Hildesheim
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute , Bethesda, MD , USA
| | - Yu-Sun Chang
- Chang Gung Molecular Medicine Research Center, Chang Gung University , Taoyuan , Taiwan
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119
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Migliorini G, Fiege B, Hosking FJ, Ma Y, Kumar R, Sherborne AL, da Silva Filho MI, Vijayakrishnan J, Koehler R, Thomsen H, Irving JA, Allan JM, Lightfoot T, Roman E, Kinsey SE, Sheridan E, Thompson P, Hoffmann P, Nöthen MM, Mühleisen TW, Eisele L, Zimmermann M, Bartram CR, Schrappe M, Greaves M, Stanulla M, Hemminki K, Houlston RS. Variation at 10p12.2 and 10p14 influences risk of childhood B-cell acute lymphoblastic leukemia and phenotype. Blood 2013; 122:3298-3307. [PMID: 23996088 DOI: 10.1182/blood-2013-03-491316] [Citation(s) in RCA: 123] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Acute lymphoblastic leukemia (ALL) is the major pediatric cancer diagnosed in economically developed countries with B-cell precursor (BCP)-ALL, accounting for approximately 70% of ALL. Recent genome-wide association studies (GWAS) have provided the first unambiguous evidence for common inherited susceptibility to BCP-ALL, identifying susceptibility loci at 7p12.2, 9p21.3, 10q21.2, and 14q11.2. To identify additional BCP-ALL susceptibility loci, we conducted a GWAS and performed a meta-analysis with a published GWAS totaling 1658 cases and 4723 controls, with validation in 1449 cases and 1488 controls. Combined analysis identified novel loci mapping to 10p12.2 (rs10828317, odds ratio [OR] = 1.23; P = 2.30 × 10(-9)) and 10p14 marked by rs3824662 (OR = 1.31; P = 8.62 × 10(-12)). The single nucleotide polymorphism rs10828317 is responsible for the N215S polymorphism in exon 7 of PIP4K2A, and rs3824662 localizes to intron 3 of the transcription factor and putative tumor suppressor gene GATA3. The rs10828317 association was shown to be specifically associated with hyperdiploid ALL, whereas the rs3824662-associated risk was confined to nonhyperdiploid non-TEL-AML1 + ALL. The risk allele of rs3824662 was correlated with older age at diagnosis (P < .001) and significantly worse event-free survivorship (P < .0001). These findings provide further insights into the genetic and biological basis of inherited genetic susceptibility to BCP-ALL and the influence of constitutional genotype on disease development.
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Affiliation(s)
- Gabriele Migliorini
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, United Kingdom
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120
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Inherited GATA3 variants are associated with Ph-like childhood acute lymphoblastic leukemia and risk of relapse. Nat Genet 2013; 45:1494-8. [PMID: 24141364 DOI: 10.1038/ng.2803] [Citation(s) in RCA: 235] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2013] [Accepted: 09/27/2013] [Indexed: 12/15/2022]
Abstract
Recent genomic profiling of childhood acute lymphoblastic leukemia (ALL) identified a high-risk subtype with an expression signature resembling that of Philadelphia chromosome-positive ALL and poor prognosis (Ph-like ALL). However, the role of inherited genetic variation in Ph-like ALL pathogenesis remains unknown. In a genome-wide association study (GWAS) of 511 ALL cases and 6,661 non-ALL controls, we identified a susceptibility locus for Ph-like ALL (GATA3, rs3824662; P = 2.17 × 10(-14), odds ratio (OR) = 3.85 for Ph-like ALL versus non-ALL; P = 1.05 × 10(-8), OR = 3.25 for Ph-like ALL versus non-Ph-like ALL), with independent validation. The rs3824662 risk allele was associated with somatic lesions underlying Ph-like ALL (CRLF2 rearrangement, JAK gene mutation and IKZF1 deletion) and with variation in GATA3 expression. Finally, genotype at the GATA3 SNP was also associated with early treatment response and risk of ALL relapse. Our results provide insights into interactions between inherited and somatic variants and their role in ALL pathogenesis and prognosis.
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121
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Chubb D, Weinhold N, Broderick P, Chen B, Johnson DC, Försti A, Vijayakrishnan J, Migliorini G, Dobbins SE, Holroyd A, Hose D, Walker BA, Davies FE, Gregory WA, Jackson GH, Irving JA, Pratt G, Fegan C, Fenton JA, Neben K, Hoffmann P, Nöthen MM, Mühleisen TW, Eisele L, Ross FM, Straka C, Einsele H, Langer C, Dörner E, Allan JM, Jauch A, Morgan GJ, Hemminki K, Houlston RS, Goldschmidt H. Common variation at 3q26.2, 6p21.33, 17p11.2 and 22q13.1 influences multiple myeloma risk. Nat Genet 2013; 45:1221-1225. [PMID: 23955597 PMCID: PMC5053356 DOI: 10.1038/ng.2733] [Citation(s) in RCA: 140] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Accepted: 07/26/2013] [Indexed: 02/07/2023]
Abstract
To identify variants for multiple myeloma risk, we conducted a genome-wide association study with validation in additional series totaling 4,692 individuals with multiple myeloma (cases) and 10,990 controls. We identified four risk loci at 3q26.2 (rs10936599, P = 8.70 × 10(-14)), 6p21.33 (rs2285803, PSORS1C2, P = 9.67 × 10(-11)), 17p11.2 (rs4273077, TNFRSF13B, P = 7.67 × 10(-9)) and 22q13.1 (rs877529, CBX7, P = 7.63 × 10(-16)). These data provide further evidence for genetic susceptibility to this B-cell hematological malignancy, as well as insight into the biological basis of predisposition.
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Affiliation(s)
- Daniel Chubb
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Peter Broderick
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Bowang Chen
- German Cancer Research Center, Heidelberg, Germany
| | - David C Johnson
- Haemato-Oncology, Division of Pathology, Institute of Cancer Research, Surrey, UK
| | - Asta Försti
- German Cancer Research Center, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmo, Sweden
| | | | - Gabriele Migliorini
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Sara E Dobbins
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Amy Holroyd
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Dirk Hose
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- National Centre of Tumour Diseases, Heidelberg, Germany
| | - Brian A Walker
- Haemato-Oncology, Division of Pathology, Institute of Cancer Research, Surrey, UK
| | - Faith E Davies
- Haemato-Oncology, Division of Pathology, Institute of Cancer Research, Surrey, UK
| | | | | | - Julie A Irving
- Newcastle Cancer Centre, Northern Institute for Cancer Research, Medical School, Newcastle University, Newcastle-upon-Tyne, UK
| | - Guy Pratt
- Department of Haematology, Birmingham Heartlands Hospital, Birmingham, UK
| | - Chris Fegan
- Department of Haematology, School of Medicine, Cardiff University, Cardiff, UK
| | | | - Kai Neben
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Germany
- Department of Genomics, University of Bonn, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Germany
- Department of Genomics, University of Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Thomas W Mühleisen
- Institute of Human Genetics, University of Bonn, Germany
- Department of Genomics, University of Bonn, Germany
| | - Lewin Eisele
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Germany
| | - Fiona M Ross
- Cytogenetics Group, Wessex Regional Cytogenetic Laboratory, Salisbury, UK
| | | | | | - Christian Langer
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Elisabeth Dörner
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - James M Allan
- Newcastle Cancer Centre, Northern Institute for Cancer Research, Medical School, Newcastle University, Newcastle-upon-Tyne, UK
| | - Anna Jauch
- Institute of Human Genetics, University of Heidelberg, Germany
| | - Gareth J Morgan
- Haemato-Oncology, Division of Pathology, Institute of Cancer Research, Surrey, UK
| | - Kari Hemminki
- German Cancer Research Center, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmo, Sweden
| | - Richard S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- National Centre of Tumour Diseases, Heidelberg, Germany
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122
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Orrù V, Steri M, Sole G, Sidore C, Virdis F, Dei M, Lai S, Zoledziewska M, Busonero F, Mulas A, Floris M, Mentzen WI, Urru SA, Olla S, Marongiu M, Piras MG, Lobina M, Maschio A, Pitzalis M, Urru MF, Marcelli M, Cusano R, Deidda F, Serra V, Oppo M, Pilu R, Reinier F, Berutti R, Pireddu L, Zara I, Porcu E, Kwong A, Brennan C, Tarrier B, Lyons R, Kang HM, Uzzau S, Atzeni R, Valentini M, Firinu D, Leoni L, Rotta G, Naitza S, Angius A, Congia M, Whalen MB, Jones CM, Schlessinger D, Abecasis GR, Fiorillo E, Sanna S, Cucca F. Genetic variants regulating immune cell levels in health and disease. Cell 2013; 155:242-256. [PMID: 24074872 PMCID: PMC5541764 DOI: 10.1016/j.cell.2013.08.041] [Citation(s) in RCA: 267] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2013] [Revised: 07/11/2013] [Accepted: 08/20/2013] [Indexed: 12/14/2022]
Abstract
The complex network of specialized cells and molecules in the immune system has evolved to defend against pathogens, but inadvertent immune system attacks on "self" result in autoimmune disease. Both genetic regulation of immune cell levels and their relationships with autoimmunity are largely undetermined. Here, we report genetic contributions to quantitative levels of 95 cell types encompassing 272 immune traits, in a cohort of 1,629 individuals from four clustered Sardinian villages. We first estimated trait heritability, showing that it can be substantial, accounting for up to 87% of the variance (mean 41%). Next, by assessing ∼8.2 million variants that we identified and confirmed in an extended set of 2,870 individuals, 23 independent variants at 13 loci associated with at least one trait. Notably, variants at three loci (HLA, IL2RA, and SH2B3/ATXN2) overlap with known autoimmune disease associations. These results connect specific cellular phenotypes to specific genetic variants, helping to explicate their involvement in disease.
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Affiliation(s)
- Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Maristella Steri
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Gabriella Sole
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari 07100, Italy
| | - Francesca Virdis
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Mariano Dei
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Sandra Lai
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | | | - Fabio Busonero
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari 07100, Italy
| | - Matteo Floris
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Wieslawa I. Mentzen
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | | | - Stefania Olla
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Michele Marongiu
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Maria G. Piras
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Monia Lobina
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari 07100, Italy
| | - Andrea Maschio
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Maristella Pitzalis
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Maria F. Urru
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Marco Marcelli
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Roberto Cusano
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Francesca Deidda
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Valentina Serra
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari 07100, Italy
| | - Manuela Oppo
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Rosella Pilu
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Frederic Reinier
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Riccardo Berutti
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari 07100, Italy
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Luca Pireddu
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
- Università degli Studi di Cagliari, Cagliari 09010, Italy
| | - Ilenia Zara
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Eleonora Porcu
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari 07100, Italy
| | - Alan Kwong
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Christine Brennan
- University of Michigan Sequencing Core, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Brendan Tarrier
- University of Michigan Sequencing Core, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Robert Lyons
- University of Michigan Sequencing Core, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Hyun M. Kang
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sergio Uzzau
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari 07100, Italy
- Laboratorio di Proteomica, Porto Conte Ricerche Srl, Tramariglio, Alghero 07041, Italy
| | - Rossano Atzeni
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Maria Valentini
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Davide Firinu
- Dipartimento di Allergologia e Immunologia, Università di Cagliari, Cagliari 09124, Italy
| | - Lidia Leoni
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | | | - Silvia Naitza
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Andrea Angius
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | - Mauro Congia
- Dipartimento di Scienze Biomediche e Biotecnologie, Università di Cagliari, Cagliari 09124, Italy
| | - Michael B. Whalen
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Chris M. Jones
- CRS4, Parco Tecnologico della Sardegna, Pula, Cagliari 09010, Italy
| | | | - Gonçalo R. Abecasis
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari 07100, Italy
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123
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Genetic variants regulating immune cell levels in health and disease. Cell 2013. [PMID: 24074872 DOI: 10.1016/j.cell.2013.08.041.] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The complex network of specialized cells and molecules in the immune system has evolved to defend against pathogens, but inadvertent immune system attacks on "self" result in autoimmune disease. Both genetic regulation of immune cell levels and their relationships with autoimmunity are largely undetermined. Here, we report genetic contributions to quantitative levels of 95 cell types encompassing 272 immune traits, in a cohort of 1,629 individuals from four clustered Sardinian villages. We first estimated trait heritability, showing that it can be substantial, accounting for up to 87% of the variance (mean 41%). Next, by assessing ∼8.2 million variants that we identified and confirmed in an extended set of 2,870 individuals, 23 independent variants at 13 loci associated with at least one trait. Notably, variants at three loci (HLA, IL2RA, and SH2B3/ATXN2) overlap with known autoimmune disease associations. These results connect specific cellular phenotypes to specific genetic variants, helping to explicate their involvement in disease.
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124
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Ghesquières H, Maurer MJ, Casasnovas O, Ansell SM, Larrabee BR, Lech-Maranda E, Novak AJ, Borrel AL, Slager SL, Brice P, Allmer C, Brion A, Ziesmer SC, Morschhauser F, Habermann TM, Gaillard I, Link BK, Stamatoullas A, Fermé C, Dogan A, Macon WR, Audouin J, Cerhan JR, Salles G. Cytokine gene polymorphisms and progression-free survival in classical Hodgkin lymphoma by EBV status: results from two independent cohorts. Cytokine 2013; 64:523-31. [PMID: 24008079 DOI: 10.1016/j.cyto.2013.08.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2013] [Revised: 06/18/2013] [Accepted: 08/06/2013] [Indexed: 12/29/2022]
Abstract
BACKGROUND Cytokines are important immune mediators of classical Hodgkin lymphoma (CHL) pathogenesis, and circulating levels at diagnosis may help predict prognosis. Germline single nucleotide polymorphisms (SNPs) in immune genes have been correlated with cytokine production and function. METHODS We investigated whether selected germline SNPs in IL10 (rs1800890, rs1800896, rs1800871, rs1800872), TNFA (rs1800629), IL6 (rs1800795), ILRN (rs419598), INFG (rs2430561) and CCL17 (rs223828) were associated with circulating levels of related cytokines at diagnosis and progression-free survival (PFS) in CHL. Patients were from France (GELA, N=464; median age=32years) and the United States (Iowa/Mayo Specialized Program Of Research Excellence [SPORE], N=239; median age=38years); 22% of 346 CHL cases with EBV tumor status were positive. RESULTS There was no association with any of the SNPs with cytokine levels. Overall, there was no association of any of the SNPs with PFS. In exploratory analyses by EBV status, TNFA rs1800629 (HRAA/AG=2.41; 95%CI, 1.17-4.94) was associated with PFS in EBV-negative GELA patients, with similar trends in the SPORE patients (HRAA/AG=1.63; 95%CI, 0.61-4.40). In a meta-analysis of the two studies, TNFA (HRAA/AG=2.11; 95%CI, 1.18-3.77; P=0.01) was statistically significant, and further adjustment for the international prognostic system did not alter this result. CONCLUSIONS This study showed that germline variation in TNFA was associated with CHL prognosis for EBV-negative patients, which will require confirmation. These results support broader studies on the differential impact of genetic variation in immune genes on EBV-positive vs. EBV-negative CHL pathogenesis.
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Affiliation(s)
- Hervé Ghesquières
- Onco-Hematology, Centre Léon Bérard, UMR CNRS 5239, Université Lyon 1, Lyon, France; Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
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Garitano-Trojaola A, Agirre X, Prósper F, Fortes P. Long non-coding RNAs in haematological malignancies. Int J Mol Sci 2013; 14:15386-422. [PMID: 23887658 PMCID: PMC3759866 DOI: 10.3390/ijms140815386] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Revised: 06/28/2013] [Accepted: 07/09/2013] [Indexed: 12/20/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are functional RNAs longer than 200 nucleotides in length. LncRNAs are as diverse as mRNAs and they normally share the same biosynthetic machinery based on RNA polymerase II, splicing and polyadenylation. However, lncRNAs have low coding potential. Compared to mRNAs, lncRNAs are preferentially nuclear, more tissue specific and expressed at lower levels. Most of the lncRNAs described to date modulate the expression of specific genes by guiding chromatin remodelling factors; inducing chromosomal loopings; affecting transcription, splicing, translation or mRNA stability; or serving as scaffolds for the organization of cellular structures. They can function in cis, cotranscriptionally, or in trans, acting as decoys, scaffolds or guides. These functions seem essential to allow cell differentiation and growth. In fact, many lncRNAs have been shown to exert oncogenic or tumor suppressor properties in several cancers including haematological malignancies. In this review, we summarize what is known about lncRNAs, the mechanisms for their regulation in cancer and their role in leukemogenesis, lymphomagenesis and hematopoiesis. Furthermore, we discuss the potential of lncRNAs in diagnosis, prognosis and therapy in cancer, with special attention to haematological malignancies.
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Affiliation(s)
- Andoni Garitano-Trojaola
- Laboratory of Myeloproliferative Syndromes, Oncology Area, Foundation for Applied Medical Research, University of Navarra, Pamplona 31008, Spain; E-Mails: (A.G.-T.); (X.A.); (F.P.)
| | - Xabier Agirre
- Laboratory of Myeloproliferative Syndromes, Oncology Area, Foundation for Applied Medical Research, University of Navarra, Pamplona 31008, Spain; E-Mails: (A.G.-T.); (X.A.); (F.P.)
| | - Felipe Prósper
- Laboratory of Myeloproliferative Syndromes, Oncology Area, Foundation for Applied Medical Research, University of Navarra, Pamplona 31008, Spain; E-Mails: (A.G.-T.); (X.A.); (F.P.)
- Hematology Service and Area of Cell Therapy, University of Navarra Clinic, University of Navarra, Pamplona 31008, Spain
| | - Puri Fortes
- Department of Hepatology and Gene Therapy, Foundation for Applied Medical Research, University of Navarra, Pamplona 31008, Spain
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Liu M, Hu Z, Qi L, Wang J, Zhou T, Guo Y, Zeng Y, Zheng B, Wu Y, Zhang P, Chen X, Tu W, Zhang T, Zhou Q, Jiang M, Guo X, Zhou Z, Sha J. Scanning of novel cancer/testis proteins by human testis proteomic analysis. Proteomics 2013; 13:1200-10. [DOI: 10.1002/pmic.201200489] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2012] [Revised: 12/20/2012] [Accepted: 01/07/2013] [Indexed: 12/20/2022]
Affiliation(s)
- Mingxi Liu
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Lin Qi
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Jing Wang
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Tao Zhou
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Yueshuai Guo
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Yan Zeng
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Bo Zheng
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Yibo Wu
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Pan Zhang
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Xin Chen
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Wenjiao Tu
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Ting Zhang
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Quan Zhou
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Min Jiang
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Xuejiang Guo
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Zuomin Zhou
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
| | - Jiahao Sha
- State Key Laboratory of Reproductive Medicine; Nanjing Medical University; Nanjing; China
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Henrion M, Frampton M, Scelo G, Purdue M, Ye Y, Broderick P, Ritchie A, Kaplan R, Meade A, McKay J, Johansson M, Lathrop M, Larkin J, Rothman N, Wang Z, Chow WH, Stevens VL, Ryan Diver W, Gapstur SM, Albanes D, Virtamo J, Wu X, Brennan P, Chanock S, Eisen T, Houlston RS. Common variation at 2q22.3 (ZEB2) influences the risk of renal cancer. Hum Mol Genet 2013; 22:825-31. [PMID: 23184150 PMCID: PMC3554205 DOI: 10.1093/hmg/dds489] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Revised: 10/29/2012] [Accepted: 11/15/2012] [Indexed: 12/21/2022] Open
Abstract
Genome-wide association studies (GWASs) of renal cell cancer (RCC) have identified four susceptibility loci thus far. To identify an additional RCC common susceptibility locus, we conducted a GWAS and performed a meta-analysis with published GWASs (totalling 2215 cases and 8566 controls of European background) and followed up the most significant association signals [nine single nucleotide polymorphisms (SNPs) in eight genomic regions] in 3739 cases and 8786 controls. A combined analysis identified a novel susceptibility locus mapping to 2q22.3 marked by rs12105918 (P = 1.80 × 10(-8); odds ratio 1.29, 95% CI: 1.18-1.41). The signal localizes to intron 2 of the ZEB2 gene (zinc finger E box-binding homeobox 2). Our findings suggest that genetic variation in ZEB2 influences the risk of RCC. This finding provides further insights into the genetic and biological basis of inherited genetic susceptibility to RCC.
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Affiliation(s)
- Marc Henrion
- Division of Genetics and Epidemiology, Section of Cancer Genetics, Institute of Cancer Research, Surrey SM2 5NG, UK
| | - Matthew Frampton
- Division of Genetics and Epidemiology, Section of Cancer Genetics, Institute of Cancer Research, Surrey SM2 5NG, UK
| | | | - Mark Purdue
- Division of Cancer Epidemiology and Genetics, Department Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yuanqing Ye
- Division of Cancer Prevention and Population Sciences, Department of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Peter Broderick
- Division of Genetics and Epidemiology, Section of Cancer Genetics, Institute of Cancer Research, Surrey SM2 5NG, UK
| | - Alastair Ritchie
- MRC Clinical Trials Unit, Aviation House, 125 Kingsway, London WC2B 6NH, UK
| | - Richard Kaplan
- MRC Clinical Trials Unit, Aviation House, 125 Kingsway, London WC2B 6NH, UK
| | - Angela Meade
- MRC Clinical Trials Unit, Aviation House, 125 Kingsway, London WC2B 6NH, UK
| | - James McKay
- International Agency for Research on Cancer, Lyon, France
| | | | - Mark Lathrop
- Commissariat à l’Énergie Atomique, Institut Génomique, Centre National de Génotypage, Evry 91000, France
| | | | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Department Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, Department Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Core Genotyping Facility, SAIC-Frederick Inc., National Cancer Institute-Frederick, Frederick, MD, USA
| | - Wong-Ho Chow
- Division of Cancer Epidemiology and Genetics, Department Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Division of Cancer Prevention and Population Sciences, Department of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | | | - W. Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Susan M. Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, Department Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jarmo Virtamo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki FIN-00300, Finland and
| | - Xifeng Wu
- Division of Cancer Prevention and Population Sciences, Department of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, Department Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Richard S. Houlston
- Division of Genetics and Epidemiology, Section of Cancer Genetics, Institute of Cancer Research, Surrey SM2 5NG, UK
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Vijai J, Kirchhoff T, Schrader KA, Brown J, Dutra-Clarke AV, Manschreck C, Hansen N, Rau-Murthy R, Sarrel K, Przybylo J, Shah S, Cheguri S, Stadler Z, Zhang L, Paltiel O, Ben-Yehuda D, Viale A, Portlock C, Straus D, Lipkin SM, Lacher M, Robson M, Klein RJ, Zelenetz A, Offit K. Susceptibility loci associated with specific and shared subtypes of lymphoid malignancies. PLoS Genet 2013; 9:e1003220. [PMID: 23349640 PMCID: PMC3547842 DOI: 10.1371/journal.pgen.1003220] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Accepted: 10/18/2012] [Indexed: 12/31/2022] Open
Abstract
The genetics of lymphoma susceptibility reflect the marked heterogeneity of diseases that comprise this broad phenotype. However, multiple subtypes of lymphoma are observed in some families, suggesting shared pathways of genetic predisposition to these pathologically distinct entities. Using a two-stage GWAS, we tested 530,583 SNPs in 944 cases of lymphoma, including 282 familial cases, and 4,044 public shared controls, followed by genotyping of 50 SNPs in 1,245 cases and 2,596 controls. A novel region on 11q12.1 showed association with combined lymphoma (LYM) subtypes. SNPs in this region included rs12289961 near LPXN, (P(LYM) = 3.89×10(-8), OR = 1.29) and rs948562 (P(LYM) = 5.85×10(-7), OR = 1.29). A SNP in a novel non-HLA region on 6p23 (rs707824, P(NHL) = 5.72×10(-7)) was suggestive of an association conferring susceptibility to lymphoma. Four SNPs, all in a previously reported HLA region, 6p21.32, showed genome-wide significant associations with follicular lymphoma. The most significant association with follicular lymphoma was for rs4530903 (P(FL) = 2.69×10(-12), OR = 1.93). Three novel SNPs near the HLA locus, rs9268853, rs2647046, and rs2621416, demonstrated additional variation contributing toward genetic susceptibility to FL associated with this region. Genes implicated by GWAS were also found to be cis-eQTLs in lymphoblastoid cell lines; candidate genes in these regions have been implicated in hematopoiesis and immune function. These results, showing novel susceptibility regions and allelic heterogeneity, point to the existence of pathways of susceptibility to both shared as well as specific subtypes of lymphoid malignancy.
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Affiliation(s)
- Joseph Vijai
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
- Cancer Biology and Genetics Program, Sloan-Kettering Institute, New York, New York, United States of America
| | - Tomas Kirchhoff
- New York University Cancer Institute, New York University School of Medicine, New York, New York, United States of America
| | - Kasmintan A. Schrader
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
- Cancer Biology and Genetics Program, Sloan-Kettering Institute, New York, New York, United States of America
| | - Jennifer Brown
- Dana Farber Cancer Institute, Boston, Massachusetts, United States of America
| | - Ana Virginia Dutra-Clarke
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Christopher Manschreck
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Nichole Hansen
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Rohini Rau-Murthy
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Kara Sarrel
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Jennifer Przybylo
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Sohela Shah
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
- Cancer Biology and Genetics Program, Sloan-Kettering Institute, New York, New York, United States of America
| | - Srujana Cheguri
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Zsofia Stadler
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Liying Zhang
- Diagnostic Molecular Genetics Laboratory, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Ora Paltiel
- Department of Hematology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Dina Ben-Yehuda
- Department of Hematology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Agnes Viale
- Genomics Core, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Carol Portlock
- Lymphoma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - David Straus
- Lymphoma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Steven M. Lipkin
- Weill Cornell Medical Center, New York, New York, United States of America
| | - Mortimer Lacher
- Lymphoma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Mark Robson
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Robert J. Klein
- Cancer Biology and Genetics Program, Sloan-Kettering Institute, New York, New York, United States of America
| | - Andrew Zelenetz
- Lymphoma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
- Cancer Biology and Genetics Program, Sloan-Kettering Institute, New York, New York, United States of America
- Lymphoma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
- * E-mail:
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129
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Rubicz R, Yolken R, Drigalenko E, Carless MA, Dyer TD, Bauman L, Melton PE, Kent JW, Harley JB, Curran JE, Johnson MP, Cole SA, Almasy L, Moses EK, Dhurandhar NV, Kraig E, Blangero J, Leach CT, Göring HHH. A genome-wide integrative genomic study localizes genetic factors influencing antibodies against Epstein-Barr virus nuclear antigen 1 (EBNA-1). PLoS Genet 2013; 9:e1003147. [PMID: 23326239 PMCID: PMC3542101 DOI: 10.1371/journal.pgen.1003147] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2012] [Accepted: 10/23/2012] [Indexed: 12/20/2022] Open
Abstract
Infection with Epstein-Barr virus (EBV) is highly prevalent worldwide, and it has been associated with infectious mononucleosis and severe diseases including Burkitt lymphoma, Hodgkin lymphoma, nasopharyngeal lymphoma, and lymphoproliferative disorders. Although EBV has been the focus of extensive research, much still remains unknown concerning what makes some individuals more sensitive to infection and to adverse outcomes as a result of infection. Here we use an integrative genomics approach in order to localize genetic factors influencing levels of Epstein Barr virus (EBV) nuclear antigen-1 (EBNA-1) IgG antibodies, as a measure of history of infection with this pathogen, in large Mexican American families. Genome-wide evidence of both significant linkage and association was obtained on chromosome 6 in the human leukocyte antigen (HLA) region and replicated in an independent Mexican American sample of large families (minimum p-value in combined analysis of both datasets is 1.4×10(-15) for SNPs rs477515 and rs2516049). Conditional association analyses indicate the presence of at least two separate loci within MHC class II, and along with lymphocyte expression data suggest genes HLA-DRB1 and HLA-DQB1 as the best candidates. The association signals are specific to EBV and are not found with IgG antibodies to 12 other pathogens examined, and therefore do not simply reveal a general HLA effect. We investigated whether SNPs significantly associated with diseases in which EBV is known or suspected to play a role (namely nasopharyngeal lymphoma, Hodgkin lymphoma, systemic lupus erythematosus, and multiple sclerosis) also show evidence of associated with EBNA-1 antibody levels, finding an overlap only for the HLA locus, but none elsewhere in the genome. The significance of this work is that a major locus related to EBV infection has been identified, which may ultimately reveal the underlying mechanisms by which the immune system regulates infection with this pathogen.
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Affiliation(s)
- Rohina Rubicz
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America.
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Frampton M, da Silva Filho MI, Broderick P, Thomsen H, Försti A, Vijayakrishnan J, Cooke R, Enciso-Mora V, Hoffmann P, Nöthen MM, Lloyd A, Holroyd A, Eisele L, Jöckel KH, Ponader S, von Strandmann EP, Lightfoot T, Roman E, Lake A, Montgomery D, Jarrett RF, Swerdlow AJ, Engert A, Hemminki K, Houlston RS. Variation at 3p24.1 and 6q23.3 influences the risk of Hodgkin's lymphoma. Nat Commun 2013; 4:2549. [PMID: 24149102 PMCID: PMC5053363 DOI: 10.1038/ncomms3549] [Citation(s) in RCA: 44] [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: 05/07/2013] [Accepted: 09/03/2013] [Indexed: 02/08/2023] Open
Abstract
In addition to HLA, recent genome-wide association studies (GWASs) of Hodgkin's lymphoma (HL) have identified susceptibility loci for HL at 2p16.1, 8q24.21 and 10p14. In this study, we perform a GWAS meta-analysis with published GWAS (totalling 1,465 cases and 6,417 controls of European background), and follow-up the most significant association signals in 2,024 cases and 1,853 controls. A combined analysis identifies new HL susceptibility loci mapping to 3p24.1 (rs3806624; P=1.14 × 10(-12), odds ratio (OR)=1.26) and 6q23.3 (rs7745098; P=3.42 × 10(-9), OR=1.21). rs3806624 localizes 5' to the EOMES (eomesodermin) gene within a p53 response element affecting p53 binding. rs7745098 maps intergenic to HBS1L and MYB, a region previously associated with haematopoiesis. These findings provide further insight into the genetic and biological basis of inherited susceptibility to HL.
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Affiliation(s)
- Matthew Frampton
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | | | - Peter Broderick
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Hauke Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Asta Försti
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, 205 02 Malmö, Sweden
| | - Jayaram Vijayakrishnan
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Rosie Cooke
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Victor Enciso-Mora
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Genomics Research Group, Medical Genetics, University Hospital Basel
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Amy Lloyd
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Amy Holroyd
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
| | - Lewin Eisele
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg–Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg–Essen, Essen, Germany
| | - Sabine Ponader
- University Hospital of Cologne, Department of Internal Medicine, Cologne, Germany
| | | | - Tracy Lightfoot
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Eve Roman
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Annette Lake
- MRC University of Glasgow Centre for Virus Research, Glasgow, UK
| | | | - Ruth F Jarrett
- MRC University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
- Division of Breast Cancer Research, Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | - Andreas Engert
- University Hospital of Cologne, Department of Internal Medicine, Cologne, Germany
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, 205 02 Malmö, Sweden
| | - Richard S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK
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Abstract
Abstract
The Hodgkin and Reed/Sternberg (HRS) tumor cells of classical Hodgkin lymphoma (HL) and the lymphocyte-predominant tumor cells of nodular lymphocyte–predominant HL are both derived from germinal center B cells. HRS cells, however, have largely lost their B-cell gene-expression program and coexpress genes typical of various types of hematopoietic cells. Multiple signaling pathways show a deregulated activity in HRS cells. The genetic lesions involved in the pathogenesis of HL are only partly known, but numerous members and regulators of the NF-κB and JAK/STAT signaling pathways are affected, suggesting an important role for these pathways in HL pathogenesis. Some genetic lesions involve epigenetic regulators, and there is emerging evidence that HRS cells have undergone extensive epigenetic alterations compared with normal B cells. HRS and lymphocyte-predominant cells are usually rare in the lymphoma tissue, and interactions with other cells in the microenvironment are likely critical for HL pathophysiology. T cells represent a main population of infiltrating cells, and it appears that HRS cells both inhibit cytotoxic T cells efficiently and also receive survival signals from Th cells in direct contact with them.
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Abstract
Hodgkin lymphoma (HL), a B cell-derived cancer, is one of the most common lymphomas. In HL, the tumor cells--Hodgkin and Reed-Sternberg (HRS) cells--are usually very rare in the tissue. Although HRS cells are derived from mature B cells, they have largely lost their B cell phenotype and show a very unusual co-expression of markers of various hematopoietic cell types. HRS cells show deregulated activation of multiple signaling pathways and transcription factors. The activation of these pathways and factors is partly mediated through interactions of HRS cells with various other types of cells in the microenvironment, but also through genetic lesions. The transforming events involved in the pathogenesis of HL are only partly understood, but mutations affecting the NF-κB and JAK/STAT pathways are frequent. The dependency of HRS cells on microenvironmental interactions and deregulated signaling pathways may offer novel strategies for targeted therapies.
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Affiliation(s)
- Ralf Küppers
- Institute of Cell Biology (Cancer Research), Medical School, University of Duisburg-Essen, Essen, Germany.
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Gilmore TD, Gerondakis S. The c-Rel Transcription Factor in Development and Disease. Genes Cancer 2012; 2:695-711. [PMID: 22207895 DOI: 10.1177/1947601911421925] [Citation(s) in RCA: 118] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2011] [Accepted: 08/08/2011] [Indexed: 12/21/2022] Open
Abstract
c-Rel is a member of the nuclear factor κB (NF-κB) transcription factor family. Unlike other NF-κB proteins that are expressed in a variety of cell types, high levels of c-Rel expression are found primarily in B and T cells, with many c-Rel target genes involved in lymphoid cell growth and survival. In addition to c-Rel playing a major role in mammalian B and T cell function, the human c-rel gene (REL) is a susceptibility locus for certain autoimmune diseases such as arthritis, psoriasis, and celiac disease. The REL locus is also frequently altered (amplified, mutated, rearranged), and expression of REL is increased in a variety of B and T cell malignancies and, to a lesser extent, in other cancer types. Thus, agents that modulate REL activity may have therapeutic benefits for certain human cancers and chronic inflammatory diseases.
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134
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Using haplotype analysis to elucidate significant associations between genes and Hodgkin lymphoma. Leuk Res 2012; 36:1359-64. [PMID: 22902050 DOI: 10.1016/j.leukres.2012.07.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2012] [Revised: 07/11/2012] [Accepted: 07/18/2012] [Indexed: 12/29/2022]
Abstract
In this study, we estimated the association between the inferred haplotypes in the inflammation, DNA repair, and folate pathways, and developed risk models for Hodgkin lymphoma. The study population consisted of 200 Hodgkin lymphoma cases and 220 controls. A susceptible association was observed on the XPC gene with haplotype CT (rs2228001 and rs2228000), and a protective association was observed on the IL4R gene with haplotype TCA (rs1805012, rs1805015, and rs1801275). These results can provide the necessary tools to identify high-risk individuals after validation in large data sets.
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135
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Lyon GJ, Wang K. Identifying disease mutations in genomic medicine settings: current challenges and how to accelerate progress. Genome Med 2012; 4:58. [PMID: 22830651 PMCID: PMC3580414 DOI: 10.1186/gm359] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The pace of exome and genome sequencing is accelerating, with the identification of many new disease-causing mutations in research settings, and it is likely that whole exome or genome sequencing could have a major impact in the clinical arena in the relatively near future. However, the human genomics community is currently facing several challenges, including phenotyping, sample collection, sequencing strategies, bioinformatics analysis, biological validation of variant function, clinical interpretation and validity of variant data, and delivery of genomic information to various constituents. Here we review these challenges and summarize the bottlenecks for the clinical application of exome and genome sequencing, and we discuss ways for moving the field forward. In particular, we urge the need for clinical-grade sample collection, high-quality sequencing data acquisition, digitalized phenotyping, rigorous generation of variant calls, and comprehensive functional annotation of variants. Additionally, we suggest that a 'networking of science' model that encourages much more collaboration and online sharing of medical history, genomic data and biological knowledge, including among research participants and consumers/patients, will help establish causation and penetrance for disease causal variants and genes. As we enter this new era of genomic medicine, we envision that consumer-driven and consumer-oriented efforts will take center stage, thus allowing insights from the human genome project to translate directly back into individualized medicine.
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Affiliation(s)
- Gholson J Lyon
- Cold Spring Harbor Laboratory, New York, NY 11797, USA
- Institute for Genomic Medicine, Utah Foundation for Biomedical Research (UFBR), Salt Lake City, UT 84106, USA
| | - Kai Wang
- Institute for Genomic Medicine, Utah Foundation for Biomedical Research (UFBR), Salt Lake City, UT 84106, USA
- Zilkha Neurogenetic Institute, Department of Psychiatry and Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
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136
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Association analyses identify multiple new lung cancer susceptibility loci and their interactions with smoking in the Chinese population. Nat Genet 2012; 44:895-9. [PMID: 22797725 DOI: 10.1038/ng.2351] [Citation(s) in RCA: 120] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2012] [Accepted: 06/18/2012] [Indexed: 12/12/2022]
Abstract
To find additional susceptibility loci for lung cancer, we tested promising associations from our previous genome-wide association study (GWAS) of lung cancer in the Chinese population in an extended validation sample size of 7,436 individuals with lung cancer (cases) and 7,483 controls. We found genome-wide significant (P < 5.0 × 10(-8)) evidence for three additional lung cancer susceptibility loci at 10p14 (rs1663689, close to GATA3, P = 2.84 × 10(-10)), 5q32 (rs2895680 in PPP2R2B-STK32A-DPYSL3, P = 6.60 × 10(-9)) and 20q13.2 (rs4809957 in CYP24A1, P = 1.20 × 10(-8)). We also found consistent associations for rs247008 at 5q31.1 (IL3-CSF2-P4HA2, P = 7.68 × 10(-8)) and rs9439519 at 1p36.32 (AJAP1-NPHP4, P = 3.65 × 10(-6)). Four of these loci showed evidence for interactions with smoking dose (P = 1.72 × 10(-10), P = 5.07 × 10(-3), P = 6.77 × 10(-3) and P = 4.49 × 10(-2) for rs2895680, rs4809957, rs247008 and rs9439519, respectively). These results advance our understanding of lung cancer susceptibility and highlight potential pathways that integrate genetic variants and smoking in the development of lung cancer.
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Huang X, Kushekhar K, Nolte I, Kooistra W, Visser L, Bouwman I, Kouprie N, Veenstra R, van Imhoff G, Olver B, Houlston RS, Poppema S, Diepstra A, Hepkema B, van den Berg A. HLA associations in classical Hodgkin lymphoma: EBV status matters. PLoS One 2012; 7:e39986. [PMID: 22808081 PMCID: PMC3393726 DOI: 10.1371/journal.pone.0039986] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2012] [Accepted: 05/30/2012] [Indexed: 01/04/2023] Open
Abstract
The pathogenesis of classical Hodgkin lymphoma (cHL) involves environmental and genetic factors. To explore the role of the human leukocyte antigen (HLA) genes, we performed a case-control genotyping study in 338 Dutch cHL patients using a PCR-based sequence-specific oligonucleotide probe (SSOP) hybridization approach. The allele frequencies were compared to HLA typings of more than 6,000 controls. The age of the cHL patients varied between 13 and 81 years with a median of 35 years. Nodular sclerosis subtype was the most common subtype (87%) and EBV was detected in 25% of the cHL patients. HLA-B5 was significantly increased and HLA-DR7 significantly decreased in the total cHL patient population as compared to controls. Two class II associations were observed to be specific for the EBV- cHL population with an increase of HLA-DR2 and HLA-DR5. Allele frequencies of HLA-A1, HLA-B37 and HLA-DR10 were significantly increased in the EBV+ cHL population; these alleles are in strong linkage disequilibrium and form a common haplotype in Caucasians. The allele frequency of HLA-A2 was significantly decreased in the EBV+ cHL population. Analysis of haplotypes with a frequency of >1% revealed a significant increase of HLA-A2-B7-DR2 in EBV- cHL as compared to controls. SSOP association analysis revealed significant differences between EBV+ and EBV- cHL patients for 19 probes that discriminate between HLA-A*01 and HLA-A*02. In conclusion, the HLA-A1 and HLA-A2 antigens and not specific single nucleotide variants shared by multiple alleles are responsible for the association with EBV+ cHL. Furthermore several new protective and predisposing HLA class I and II associations for the EBV+, the EBV- and the entire cHL population were identified.
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Affiliation(s)
- Xin Huang
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Pathology, Health Science Center, Peking University, Beijing, China
| | - Kushi Kushekhar
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ilja Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Wierd Kooistra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Lydia Visser
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ilby Bouwman
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Niels Kouprie
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rianne Veenstra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gustaaf van Imhoff
- Department of Hematology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Bianca Olver
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, United Kingdom
| | - Richard S. Houlston
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, United Kingdom
| | - Sibrand Poppema
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Bouke Hepkema
- Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anke van den Berg
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Di Bernardo MC, Broderick P, Harris S, Dyer MJS, Matutes E, Dearden C, Catovsky D, Houlston RS. Risk of developing chronic lymphocytic leukemia is influenced by HLA-A class I variation. Leukemia 2012; 27:255-8. [PMID: 22814293 PMCID: PMC5053357 DOI: 10.1038/leu.2012.173] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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139
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Huppi K, Pitt JJ, Wahlberg BM, Caplen NJ. The 8q24 gene desert: an oasis of non-coding transcriptional activity. Front Genet 2012; 3:69. [PMID: 22558003 PMCID: PMC3339310 DOI: 10.3389/fgene.2012.00069] [Citation(s) in RCA: 116] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2012] [Accepted: 04/10/2012] [Indexed: 01/05/2023] Open
Abstract
Understanding the functional effects of the wide-range of aberrant genetic characteristics associated with the human chromosome 8q24 region in cancer remains daunting due to the complexity of the locus. The most logical target for study remains the MYC proto-oncogene, a prominent resident of 8q24 that was first identified more than a quarter of a century ago. However, many of the amplifications, translocation breakpoints, and viral integration sites associated with 8q24 are often found throughout regions surrounding large expanses of the MYC locus that include other transcripts. In addition, chr.8q24 is host to a number of single nucleotide polymorphisms associated with cancer risk. Yet, the lack of a direct correlation between cancer risk alleles and MYC expression has also raised the possibility that MYC is not always the target of these genetic associations. The 8q24 region has been described as a "gene desert" because of the paucity of functionally annotated genes located within this region. Here we review the evidence for the role of other loci within the 8q24 region, most of which are non-coding transcripts, either in concert with MYC or independent of MYC, as possible candidate gene targets in malignancy.
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Affiliation(s)
- Konrad Huppi
- Gene Silencing Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD, USA
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140
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Fullard N, Wilson CL, Oakley F. Roles of c-Rel signalling in inflammation and disease. Int J Biochem Cell Biol 2012; 44:851-60. [PMID: 22405852 DOI: 10.1016/j.biocel.2012.02.017] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Revised: 02/22/2012] [Accepted: 02/24/2012] [Indexed: 12/13/2022]
Abstract
Nuclear factor kappa B (NFκB) is a dimeric transcription factor comprised of five family members RelA (p65), RelB, c-Rel, p50 and p52. NFκB signalling is complex and controls a myriad of normal cellular functions. However, constitutive or aberrant activation of this pathway is associated with disease progression and cancer in multiple organs. The diverse array of biological responses is modulated by many factors, including the activating stimulus, recruitment of co-regulatory molecules, consensus DNA binding sequence, dimer composition and post-translational modifications. Each subunit has very different biological functions and in the context of disease the individual subunits forming the NFκB dimer can have a profound effect, causing a shift in the balance from normal to pathogenic signalling. Here we discuss the role of c-Rel dependant signalling in normal physiology and its contribution to disease both inside and outside of the immune system.
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Affiliation(s)
- Nicola Fullard
- Fibrosis Laboratory, Liver Group, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK
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141
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Papagregoriou G, Erguler K, Dweep H, Voskarides K, Koupepidou P, Athanasiou Y, Pierides A, Gretz N, Felekkis KN, Deltas C. A miR-1207-5p binding site polymorphism abolishes regulation of HBEGF and is associated with disease severity in CFHR5 nephropathy. PLoS One 2012; 7:e31021. [PMID: 22319602 PMCID: PMC3271095 DOI: 10.1371/journal.pone.0031021] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2011] [Accepted: 12/31/2011] [Indexed: 01/08/2023] Open
Abstract
Heparin binding epidermal growth factor (HBEGF) is expressed in podocytes and was shown to play a role in glomerular physiology. MicroRNA binding sites on the 3′UTR of HBEGF were predicted using miRWalk algorithm and followed by DNA sequencing in 103 patients diagnosed with mild or severe glomerulopathy. A single nucleotide polymorphism, miRSNP C1936T (rs13385), was identified at the 3′UTR of HBEGF that corresponds to the second base of the hsa-miR-1207-5p seed region. When AB8/13 undifferentiated podocytes were transfected with miRNA mimics of hsa-miR-1207-5p, the HBEGF protein levels were reduced by about 50%. A DNA fragment containing the miRSNP allele-1936C was cloned into the pMIR-Report Luciferase vector and co-transfected with miRNA mimics of hsa-miR-1207-5p into AB8/13 podocytes. In agreement with western blot data, this resulted in reduced luciferase expression demonstrating the ability of hsa-miR-1207-5p to directly regulate HBEGF expression. On the contrary, in the presence of the miRSNP 1936T allele, this regulation was abolished. Collectively, these results demonstrate that variant 1936T of this miRSNP prevents hsa-miR-1207-5p from down-regulating HBEGF in podocytes. We hypothesized that this variant has a functional role as a genetic modifier. To this end, we showed that in a cohort of 78 patients diagnosed with CFHR5 nephropathy (also known as C3-glomerulopathy), inheritance of miRSNP 1936T allele was significantly increased in the group demonstrating progression to chronic renal failure on long follow-up. No similar association was detected in a cohort of patients with thin basement membrane nephropathy. This is the first report associating a miRSNP as genetic modifier to a monogenic renal disorder.
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Affiliation(s)
- Gregory Papagregoriou
- Molecular Medicine Research Center and Laboratory of Molecular and Medical Genetics, Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Kamil Erguler
- Molecular Medicine Research Center and Laboratory of Molecular and Medical Genetics, Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Harsh Dweep
- Medical Research Center, University of Heidelberg, Mannheim, Germany
| | - Konstantinos Voskarides
- Molecular Medicine Research Center and Laboratory of Molecular and Medical Genetics, Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Panayiota Koupepidou
- Molecular Medicine Research Center and Laboratory of Molecular and Medical Genetics, Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | | | - Alkis Pierides
- Department of Nephrology, Hippocrateon Hospital, Nicosia, Cyprus
| | - Norbert Gretz
- Medical Research Center, University of Heidelberg, Mannheim, Germany
| | - Kyriacos N. Felekkis
- Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus
- * E-mail: (KNF); (CD)
| | - Constantinos Deltas
- Molecular Medicine Research Center and Laboratory of Molecular and Medical Genetics, Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
- * E-mail: (KNF); (CD)
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142
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Urayama KY, Jarrett RF, Hjalgrim H, Diepstra A, Kamatani Y, Chabrier A, Gaborieau V, Boland A, Nieters A, Becker N, Foretova L, Benavente Y, Maynadié M, Staines A, Shield L, Lake A, Montgomery D, Taylor M, Smedby KE, Amini RM, Adami HO, Glimelius B, Feenstra B, Nolte IM, Visser L, van Imhoff GW, Lightfoot T, Cocco P, Kiemeney L, Vermeulen SH, Holcatova I, Vatten L, Macfarlane GJ, Thomson P, Conway DI, Benhamou S, Agudo A, Healy CM, Overvad K, Tjønneland A, Melin B, Canzian F, Khaw KT, Travis RC, Peeters PHM, González CA, Quirós JR, Sánchez MJ, Huerta JM, Ardanaz E, Dorronsoro M, Clavel-Chapelon F, Bueno-de-Mesquita HB, Riboli E, Roman E, Boffetta P, de Sanjosé S, Zelenika D, Melbye M, van den Berg A, Lathrop M, Brennan P, McKay JD. Genome-wide association study of classical Hodgkin lymphoma and Epstein-Barr virus status-defined subgroups. J Natl Cancer Inst 2012; 104:240-53. [PMID: 22286212 DOI: 10.1093/jnci/djr516] [Citation(s) in RCA: 115] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Accumulating evidence suggests that risk factors for classical Hodgkin lymphoma (cHL) differ by tumor Epstein-Barr virus (EBV) status. This potential etiological heterogeneity is not recognized in current disease classification. METHODS We conducted a genome-wide association study of 1200 cHL patients and 6417 control subjects, with validation in an independent replication series, to identify common genetic variants associated with total cHL and subtypes defined by tumor EBV status. Multiple logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) assuming a log-additive genetic model for the variants. All statistical tests were two-sided. RESULTS Two novel loci associated with total cHL irrespective of EBV status were identified in the major histocompatibility complex region; one resides adjacent to MICB (rs2248462: OR = 0.61, 95% CI = 0.53 to 0.69, P = 1.3 × 10(-13)) and the other at HLA-DRA (rs2395185: OR = 0.56, 95% CI = 0.50 to 0.62, P = 8.3 × 10(-25)) with both results confirmed in an independent replication series. Consistent with previous reports, associations were found between EBV-positive cHL and genetic variants within the class I region (rs2734986, HLA-A: OR = 2.45, 95% CI = 2.00 to 3.00, P = 1.2 × 10(-15); rs6904029, HCG9: OR = 0.46, 95% CI = 0.36 to 0.59, P = 5.5 × 10(-10)) and between EBV-negative cHL and rs6903608 within the class II region (rs6903608, HLA-DRA: OR = 2.08, 95% CI = 1.84 to 2.35, P = 6.1 × 10(-31)). The association between rs6903608 and EBV-negative cHL was confined to the nodular sclerosis histological subtype. Evidence for an association between EBV-negative cHL and rs20541 (5q31, IL13: OR = 1.53, 95% CI = 1.32 to 1.76, P = 5.4 x 10(-9)), a variant previously linked to psoriasis and asthma, was observed; however, the evidence for replication was less clear. Notably, one additional psoriasis-associated variant, rs27524 (5q15, ERAP1), showed evidence of an association with cHL in the genome-wide association study (OR = 1.21, 95% CI = 1.10 to 1.33, P = 1.5 × 10(-4)) and replication series (P = .03). CONCLUSION Overall, these results provide strong evidence that EBV status is an etiologically important classification of cHL and also suggest that some components of the pathological process are common to both EBV-positive and EBV-negative patients.
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Affiliation(s)
- Kevin Y Urayama
- Genetics Section, International Agency for Research on Cancer, Lyon, France
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143
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Abstract
Abstract
Women treated at young ages with supradiaphragmatic radiotherapy for Hodgkin lymphoma (HL) have a highly increased risk of breast cancer. For personalized advice and follow-up regimens for patients, information is needed on how the radiotherapy-related risk is affected by other breast cancer risk factors. Genome-wide association studies have identified 14 independently replicated common single nucleotide polymorphisms that influence breast cancer risk. To examine whether these variants contribute to risk of radiation-associated breast cancer in HL, we analyzed 2 independent case-control series, from the United Kingdom and The Netherlands, totaling 693 HL patients, 232 with breast cancer and 461 without. rs1219648, which annotates the FGFR2 gene, was associated with risk in both series (combined per-allele odds ratio = 1.59, 95% confidence interval: 1.26-2.02; P = .000111). These data provide evidence that genetic variation in FGFR2 influences radiation-induced breast cancer risk.
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144
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Broderick P, Chubb D, Johnson DC, Weinhold N, Försti A, Lloyd A, Olver B, Ma Y, Dobbins SE, Walker BA, Davies FE, Gregory WA, Childs JA, Ross FM, Jackson GH, Neben K, Jauch A, Hoffmann P, Mühleisen TW, Nöthen MM, Moebus S, Tomlinson IP, Goldschmidt H, Hemminki K, Morgan GJ, Houlston RS. Common variation at 3p22.1 and 7p15.3 influences multiple myeloma risk. Nat Genet 2011; 44:58-61. [PMID: 22120009 PMCID: PMC5108406 DOI: 10.1038/ng.993] [Citation(s) in RCA: 130] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2011] [Accepted: 10/03/2011] [Indexed: 12/12/2022]
Abstract
To identify risk variants for multiple myeloma, we conducted a genome-wide association study of 1,675 individuals with multiple myeloma and 5,903 control subjects. We identified risk loci for multiple myeloma at 3p22.1 (rs1052501 in ULK4; odds ratio (OR) = 1.32; P = 7.47 × 10(-9)) and 7p15.3 (rs4487645, OR = 1.38; P = 3.33 × 10(-15)). In addition, we observed a promising association at 2p23.3 (rs6746082, OR = 1.29; P = 1.22 × 10(-7)). Our study identifies new genomic regions associated with multiple myeloma risk that may lead to new etiological insights.
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Affiliation(s)
- Peter Broderick
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Daniel Chubb
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - David C Johnson
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Asta Försti
- German Cancer Research Center, Heidelberg, Germany
| | - Amy Lloyd
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Bianca Olver
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Yussanne Ma
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Sara E Dobbins
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
| | - Brian A Walker
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - Faith E Davies
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | | | | | - Fiona M Ross
- Cytogenetics Group, Wessex Regional Cytogenetic Laboratory, Salisbury, UK
| | | | - Kai Neben
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Anna Jauch
- Institute of Human Genetics, University of Heidelberg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Germany
| | | | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Germany
| | - Ian P Tomlinson
- Molecular and Population Genetics, Wellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, UK
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- National Centre of Tumour Diseases, Heidelberg, Germany
| | - Kari Hemminki
- German Cancer Research Center, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmo, Sweden
| | - Gareth J Morgan
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
| | - Richard S Houlston
- Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK
- Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK
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145
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Barsotti AM, Beckerman R, Laptenko O, Huppi K, Caplen NJ, Prives C. p53-Dependent induction of PVT1 and miR-1204. J Biol Chem 2011; 287:2509-19. [PMID: 22110125 DOI: 10.1074/jbc.m111.322875] [Citation(s) in RCA: 152] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
p53 is a tumor suppressor protein that acts as a transcription factor to regulate (either positively or negatively) a plethora of downstream target genes. Although its ability to induce protein coding genes is well documented, recent studies have implicated p53 in the regulation of non-coding RNAs, including both microRNAs (e.g. miR-34a) and long non-coding RNAs (e.g. lincRNA-p21). We have identified the non-protein coding locus PVT1 as a p53-inducible target gene. PVT1, a very large (>300 kb) locus located downstream of c-myc on chromosome 8q24, produces a wide variety of spliced non-coding RNAs as well as a cluster of six annotated microRNAs: miR-1204, miR-1205, miR-1206, miR-1207-5p, miR-1207-3p, and miR-1208. Chromatin immunoprecipitation (ChIP), electrophoretic mobility shift assay (EMSA), and luciferase assays reveal that p53 binds and activates a canonical response element within the vicinity of miR-1204. Consistently, we demonstrate the p53-dependent induction of endogenous PVT1 transcripts and consequent up-regulation of mature miR-1204. Finally, we have shown that ectopic expression of miR-1204 leads to increased p53 levels and causes cell death in a partially p53-dependent manner.
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Affiliation(s)
- Anthony M Barsotti
- Department of Biological Sciences, Columbia University, New York, New York 10027, USA
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A genome-wide meta-analysis of nodular sclerosing Hodgkin lymphoma identifies risk loci at 6p21.32. Blood 2011; 119:469-75. [PMID: 22086417 DOI: 10.1182/blood-2011-03-343921] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Nodular sclerosing Hodgkin lymphoma (NSHL) is a distinct, highly heritable Hodgkin lymphoma subtype. We undertook a genome-wide meta-analysis of 393 European-origin adolescent/young adult NSHL patients and 3315 controls using the Illumina Human610-Quad Beadchip and Affymetrix Genome-Wide Human SNP Array 6.0. We identified 3 single nucleotide polymorphisms (SNPs) on chromosome 6p21.32 that were significantly associated with NSHL risk: rs9268542 (P = 5.35 × 10(-10)), rs204999 (P = 1.44 × 10(-9)), and rs2858870 (P = 1.69 × 10(-8)). We also confirmed a previously reported association in the same region, rs6903608 (P = 3.52 × 10(-10)). rs204999 and rs2858870 were weakly correlated (r(2) = 0.257), and the remaining pairs of SNPs were not correlated (r(2) < 0.1). In an independent set of 113 NSHL cases and 214 controls, 2 SNPs were significantly associated with NSHL and a third showed a comparable odds ratio (OR). These SNPs are found on 2 haplotypes associated with NSHL risk (rs204999-rs9268528-rs9268542-rs6903608-rs2858870; AGGCT, OR = 1.7, P = 1.71 × 10(-6); GAATC, OR = 0.4, P = 1.16 × 10(-4)). All individuals with the GAATC haplotype also carried the HLA class II DRB1*0701 allele. In a separate analysis, the DRB1*0701 allele was associated with a decreased risk of NSHL (OR = 0.5, 95% confidence interval = 0.4, 0.7). These data support the importance of the HLA class II region in NSHL etiology.
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Kasperzyk JL, Chang ET, Birmann BM, Kraft P, Zheng T, Mueller NE. Nutrients and genetic variation involved in one-carbon metabolism and Hodgkin lymphoma risk: a population-based case-control study. Am J Epidemiol 2011; 174:816-27. [PMID: 21810727 DOI: 10.1093/aje/kwr190] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Nutritional and genetic determinants of the one-carbon metabolism pathway have been related to risk of malignant lymphomas, but little is known about their associations with Hodgkin lymphoma risk specifically. The authors examined nutrient intake (folate, vitamin B(2), vitamin B(6), vitamin B(12), methionine) and multivitamin use among 497 Hodgkin lymphoma patients and 638 population-based controls (Massachusetts and Connecticut, 1997-2000), and genetic variation (MTHFR 677C>T, MTHFR 1298A>C, MTR 2756A>G, SHMT1 1420C>T, TYMS 1494del6) and gene-diet interactions in a subset. Unconditional logistic regression was used to calculate multivariable odds ratios and 95% confidence intervals. Hodgkin lymphoma risk was not associated with total nutrient intake or intake from food alone (excluding supplements). Multivitamin use (odds ratio (OR) = 1.46, 95% CI: 1.09, 1.96), total vitamin B(6) (OR(quartile 4 vs. 1) = 1.62) (P(trend) = 0.03), and total vitamin B(12) (OR(quartile 4 vs. 1) = 1.75) (P(trend) = 0.02) intakes were positively associated with risk of Epstein-Barr virus-negative, but not -positive, disease. The 5 genetic variants were not significantly associated with Hodgkin lymphoma risk; no significant gene-diet interactions were observed after Bonferroni correction. Study findings do not support a strong role for nutrients and genetic variation in the one-carbon metabolism pathway in susceptibility to Hodgkin lymphoma. Associations between diet and risk of Epstein-Barr virus-negative disease require confirmation in other populations.
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Affiliation(s)
- Julie L Kasperzyk
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA.
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Multiple HLA class I and II associations in classical Hodgkin lymphoma and EBV status defined subgroups. Blood 2011; 118:5211-7. [PMID: 21921049 DOI: 10.1182/blood-2011-04-342998] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
The pathogenesis of classical Hodgkin lymphoma (cHL) involves environmental and genetic factors. To explore the role of the human leukocyte antigen (HLA) genes, we performed a case-control genotyping study in 338 Dutch cHL patients and more than 5000 controls using a PCR-based sequence-specific oligonucleotide probe hybridization approach. HLA-A68 and HLA-DR11 (5) were significantly increased in the cHL patient population compared with the controls. Three class II associations were observed in the EBV(-) cHL population with an increase of HLA-DR15 (2) and a decrease of HLA-DR4 and HLA-DR7. Allele frequencies of HLA-A1, HLA-B37, and HLA-DR10 were significantly increased in the EBV(+) cHL population; these alleles are in strong linkage disequilibrium and form a common haplotype in whites. The allele frequency of HLA-A2 was significantly decreased in the EBV(+) cHL population. Sequence-specific oligonucleotide probe analysis revealed significant differences between EBV(+) and EBV(-) cHL patients for 19 probes that discriminate between HLA-A*01 and HLA-A*02. In conclusion, the HLA-A1 and HLA-A2 antigens and not specific single nucleotide variants shared by multiple alleles are responsible for the association with EBV(+) cHL. Furthermore, several new protective and predisposing HLA class I and II associations for the EBV(+), the EBV(-), and the entire cHL population were identified.
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Nagel S, Schneider B, Rosenwald A, Meyer C, Kaufmann M, Drexler HG, MacLeod RAF. t(4;8)(q27;q24) in Hodgkin lymphoma cells targets phosphodiesterase PDE5A and homeobox gene ZHX2. Genes Chromosomes Cancer 2011; 50:996-1009. [PMID: 21987443 DOI: 10.1002/gcc.20920] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2011] [Revised: 07/19/2011] [Accepted: 07/20/2011] [Indexed: 01/02/2023] Open
Abstract
Hodgkin/Reed-Sternberg (HRS) cells represent the malignant fraction of infiltrated lymph nodes in Hodgkin lymphoma (HL). Although HRS cells display multiple chromosomal aberrations, few are recurrent and the targeted genes unknown. However, understanding the pathology of HL and developing rational therapies may well require identifying putative deregulated genes. Here, we analyzed the karyotype of the well-defined HL cell line L-1236 by spectral karyotyping and identified multiple abnormalities, therein, notably t(4;8)(q27;q24) which includes two breakpoint regions previously highlighted in HL. Target genes at 4q27 and 8q24 were shortlisted by high density genomic arrays and fluorescence in situ hybridization. Expression analysis of candidate target genes revealed conspicuous activation of phosphodiesterase PDE5A at 4q27 and inhibition of homeobox gene ZHX2 at 8q24. Treatment of L-1236 with PDE5A-inhibitor sildenafil or with siRNA directed against PDE5A and concomitant stimulation with cyclic guanosine monophosphate (cGMP) resulted in enhanced apoptosis, indicating PDE5A as an oncogene. Expression profiling of L-1236 cells following siRNA-mediated knockdown of ZHX2 showed inhibition of genes regulating differentiation and apoptosis, suggesting tumor suppressor activity of ZHX2. Downstream genes included STAT1 and several STAT1-target genes, indicating activation of STAT1-signaling by ZHX2 as analyzed by RQ-PCR and western blot. Taken together, we have identified a novel aberration with recurrent breakpoints in HL, t(4;8)(q27;q24), which activate PDE5A and repress ZHX2, deregulating apoptosis, differentiation, and STAT1-signaling in HL cells.
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Affiliation(s)
- Stefan Nagel
- Department of Human and Animal Cell Lines, DSMZ--German Collection of Microorganisms and Cell Cultures, Inhoffenstr. 7B, 38124 Braunschweig, Germany.
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