Age-specific genome-wide association study in glioblastoma identifies increased proportion of ‘lower grade glioma’-like features associated with younger age Journal Article

Authors: Ostrom, Q. T.; Kinnersley, B.; Armstrong, G.; Rice, T.; Chen, Y.; Wiencke, J. K.; McCoy, L. S.; Hansen, H. M.; Amos, C. I.; Bernstein, J. L.; Claus, E. B.; Eckel-Passow, J. E.; Il'yasova, D.; Johansen, C.; Lachance, D. H.; Lai, R. K.; Merrell, R. T.; Olson, S. H.; Sadetzki, S.; Schildkraut, J. M.; Shete, S.; Rubin, J. B.; Andersson, U.; Rajaraman, P.; Chanock, S. J.; Linet, M. S.; Wang, Z.; Yeager, M.; on behalf of the GliomaScan Consortium; Houlston, R. S.; Jenkins, R. B.; Wrensch, M. R.; Melin, B.; Bondy, M. L.; Barnholtz-Sloan, J. S.
Article Title: Age-specific genome-wide association study in glioblastoma identifies increased proportion of ‘lower grade glioma’-like features associated with younger age
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.’. © 2018 UICC
Keywords: glioma; age; brain tumors
Journal Title: International Journal of Cancer
Volume: 143
Issue: 10
ISSN: 0020-7136
Publisher: John Wiley & Sons  
Date Published: 2018-11-15
Start Page: 2359
End Page: 2366
Language: English
DOI: 10.1002/ijc.31759
PUBMED: 30152087
PROVIDER: scopus
PMCID: PMC6205887
Notes: Article -- Export Date: 3 December 2018 -- Source: Scopus
Altmetric Score
MSK Authors
  1. Sara H Olson
    208 Olson
  2. Jonine L Bernstein
    101 Bernstein