Your browser doesn't support javascript.
loading
Age-specific genome-wide association study in glioblastoma identifies increased proportion of 'lower grade glioma'-like features associated with younger age.
Ostrom, Quinn T; Kinnersley, Ben; Armstrong, Georgina; Rice, Terri; Chen, Yanwen; Wiencke, John K; McCoy, Lucie S; Hansen, Helen M; Amos, Christopher I; Bernstein, Jonine L; Claus, Elizabeth B; Eckel-Passow, Jeanette E; Il'yasova, Dora; Johansen, Christoffer; Lachance, Daniel H; Lai, Rose K; Merrell, Ryan T; Olson, Sara H; Sadetzki, Siegal; Schildkraut, Joellen M; Shete, Sanjay; Rubin, Joshua B; Andersson, Ulrika; Rajaraman, Preetha; Chanock, Stephen J; Linet, Martha S; Wang, Zhaoming; Yeager, Meredith; Houlston, Richard S; Jenkins, Robert B; Wrensch, Margaret R; Melin, Beatrice; Bondy, Melissa L; Barnholtz-Sloan, Jill S.
Afiliação
  • Ostrom QT; Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas.
  • Kinnersley B; Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio.
  • Armstrong G; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.
  • Rice T; Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom.
  • Chen Y; Department of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas.
  • Wiencke JK; Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California.
  • McCoy LS; Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio.
  • Hansen HM; Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California.
  • Amos CI; Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California.
  • Bernstein JL; Department of Neurological Surgery and Institute of Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, California.
  • Claus EB; Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, Texas.
  • Eckel-Passow JE; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Il'yasova D; School of Public Health, Yale University, New Haven, Connecticut.
  • Johansen C; Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts.
  • Lachance DH; Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota.
  • Lai RK; Department of Epidemiology and Biostatistics, School of Public Health, Georgia State University, Atlanta, Georgia.
  • Merrell RT; Cancer Control and Prevention Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina.
  • Olson SH; Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
  • Sadetzki S; Oncology clinic, Finsen Center, Rigshospitalet and Survivorship Research Unit, The Danish Cancer Society Research Center, Copenhagen, Denmark.
  • Schildkraut JM; Department of Neurology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota.
  • Shete S; Departments of Neurology and Preventive Medicine, Keck School of Medicine, University of Southern California, California, Los Angeles.
  • Rubin JB; Department of Neurology, NorthShore University HealthSystem, Evanston, Illinois.
  • Andersson U; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Rajaraman P; Cancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel Hashomer, Israel.
  • Chanock SJ; Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Linet MS; Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia.
  • Wang Z; Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Yeager M; Departments of Pediatrics and Neuroscience, Washington University School of Medicine, St. Louis, Missouri.
  • Houlston RS; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
  • Jenkins RB; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
  • Wrensch MR; Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland.
  • Melin B; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
  • Bondy ML; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
  • Barnholtz-Sloan JS; Core Genotyping Facility, National Cancer Institute, SAIC-Frederick, Inc, Gaithersburg, Maryland.
Int J Cancer ; 143(10): 2359-2366, 2018 11 15.
Article em En | MEDLINE | ID: mdl-30152087
ABSTRACT
Glioblastoma (GBM) is the most common malignant brain tumor in the United States. Incidence of GBM increases with age, and younger age-at-diagnosis is significantly associated with improved prognosis. While the relationship between candidate GBM risk SNPs and age-at-diagnosis has been explored, genome-wide association studies (GWAS) have not previously been stratified by age. Potential age-specific genetic effects were assessed in autosomal SNPs for GBM patients using data from four previous GWAS. Using age distribution tertiles (18-53, 54-64, 65+) datasets were analyzed using age-stratified logistic regression to generate p values, odds ratios (OR), and 95% confidence intervals (95%CI), and then combined using meta-analysis. There were 4,512 total GBM cases, and 10,582 controls used for analysis. Significant associations were detected at two previously identified SNPs in 7p11.2 (rs723527 [p54-63 = 1.50x10-9 , OR54-63 = 1.28, 95%CI54-63 = 1.18-1.39; p64+ = 2.14x10-11 , OR64+ = 1.32, 95%CI64+ = 1.21-1.43] and rs11979158 [p54-63 = 6.13x10-8 , OR54-63 = 1.35, 95%CI54-63 = 1.21-1.50; p64+ = 2.18x10-10 , OR64+ = 1.42, 95%CI64+ = 1.27-1.58]) but only in persons >54. There was also a significant association at the previously identified lower grade glioma (LGG) risk locus at 8q24.21 (rs55705857) in persons ages 18-53 (p18-53 = 9.30 × 10-11 , OR18-53 = 1.76, 95%CI18-53 = 1.49-2.10). Within The Cancer Genome Atlas (TCGA) there was higher prevalence of 'LGG'-like tumor characteristics in GBM samples in those 18-53, with IDH1/2 mutation frequency of 15%, as compared to 2.1% [54-63] and 0.8% [64+] (p = 0.0005). Age-specific differences in cancer susceptibility can provide important clues to etiology. The association of a SNP known to confer risk for IDH1/2 mutant glioma and higher prevalence of IDH1/2 mutation within younger individuals 18-53 suggests that more younger individuals may present initially with 'secondary glioblastoma.'
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Cancer Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Cancer Ano de publicação: 2018 Tipo de documento: Article