期刊
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
卷 23, 期 1, 页码 47-54出版社
AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1055-9965.EPI-13-0913
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资金
- National Institutes of Health [CA 97193, CA 34944, CA 40360, HL 26490, HL 34595]
- Division of Cancer Epidemiology and Genetics
- Division of Cancer Prevention
- National Cancer Institute
- NIH
- DHHS
- NIOSH operating funds
- National Cancer Institute [K05CA154337]
- NIH Office of Dietary Supplements
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 United States 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(SNP). We also examined the associations between 13 diabetes risk associated SNPs, identified from genome-wide association studies, and glioma risk. Odds ratios (OR) and 95% confidence intervals (CI) 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 subtype. 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. Cancer Epidemiol Biomarkers Prev; 23(1); 47-54. (C) 2013 AACR.
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