Personal history of diabetes, genetic susceptibility to diabetes, and risk of brain glioma: a pooled analysis of observational studies

Details

• Personal Author:
  Beane Freeman L ; Braganza MZ ; Brenner AV ; Carreon T ; Chanock SJ ; Chatterjee N ; Feychting M ; Fraumeni JF Jr. ; Gaziano JM ; Hartge P ; Hoover RN ; Inskip PD ; Kitahara CM ; Linet M ; Melin B ; Peters U ; Purdue MP ; Rajaraman P ; Ruder A ; Sesso HD ; Shu XO ; Wang SS ; Wang Z ; Waters M ; White E ; Yeager M ; Zheng W
• Description:
  Background: Brain glioma is a relatively rare and fatal malignancy in adulthood with few known risk factors. Some observational studies have reported inverse associations between diabetes and subsequent glioma risk, but possible mechanisms are unclear. Methods: We conducted a pooled analysis of original data from five nested case-control studies and two case-control studies from the U.S. and China that included 962 glioma cases and 2,195 controls. We examined self-reported diabetes history in relation to glioma risk, as well as effect modification by seven glioma risk-associated single-nucleotide polymorphisms (SNPs). We also examined the associations between 13 diabetes risk-associated SNPs, identified from genome-wide association studies, and glioma risk. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using multivariable-adjusted logistic regression models. Results: We observed a 42% reduced risk of glioma for individuals with a history of diabetes (OR=0.58, 95% CI: 0.40-0.84). The association did not differ by sex, study design, or after restricting to glioblastoma, the most common histological sub-type. We did not observe any significant per-allele trends among the 13 diabetes-related SNPs examined in relation to glioma risk. Conclusion: These results support an inverse association between diabetes history and glioma risk. The role of genetic susceptibility to diabetes cannot be excluded, and should be pursued in future studies together with other factors that might be responsible for the diabetes-glioma association. Impact: These data suggest the need for studies that can evaluate, separately, the association between type 1 and type 2 diabetes and subsequent risk of adult glioma. [Description provided by NIOSH]
• Subjects:
  Case Reports Endocrine System Endocrine System Diseases Epidemiology Genetics Neoplasms Nervous System Nervous System Diseases Nervous System Disorders Occupational Health Safety

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• Keywords:
  Author Keywords: Diabetes Mellitus Brain-disorders Brain Cancer Cancer Case-studies Central-nervous-system-disorders Endocrine-function Endocrine-system-disorders Genetic-factors Glioma Statistical-analysis

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• ISSN:
  1055-9965
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  California ; Maryland ; Massachusetts ; Ohio ; OSHA Region 1 ; OSHA Region 10 ; OSHA Region 3 ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 9 ; Tennessee ; Washington
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DSHEFS - Division of Surveillance, Hazard Evaluations, and Field Studies ; DART - Division of Applied Research and Technology
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  47-54
• Volume:
  23
• Issue:
  1
• NIOSHTIC Number:
  nn:20043402
• Citation:
  Cancer Epidemiol Biomark Prev 2014 Jan; 23(1):47-54
• Contact Point Address:
  Cari M. Kitahara, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD, 20892, United States
• Email:
  meinholdc@mail.nih.gov
• Federal Fiscal Year:
  2014
• NORA Priority Area:
  Manufacturing
• Peer Reviewed:
  True
• Source Full Name:
  Cancer Epidemiology, Biomarkers & Prevention
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:52b9e213b8ae11735766a32d1909e995d10629c2361224b23b5464178eb229f173faf9830e56df4eeb735dcf2a460cc516179485ab6576eab4ec39fb2d6cd13a
• Download URL:
  https://stacks.cdc.gov/view/cdc/195302/cdc_195302_DS1.pdf
• File Type:
  [PDF - 252.09 KB ]