Journal of Neuro-Oncology

, Volume 105, Issue 3, pp 639–646

A functional polymorphism in the pre-miR-146a gene is associated with risk and prognosis in adult glioma

Authors

  • Jennifer Permuth-Wey
    • Department of Cancer Epidemiology, Division of Population SciencesH. Lee Moffitt Cancer Center and Research Institute
  • Reid C. Thompson
    • Department of Neurological SurgeryVanderbilt University Medical Center
  • L. Burton Nabors
    • Neuro-oncology ProgramUniversity of Alabama at Birmingham
  • Jeffrey J. Olson
    • Department of NeurosurgeryEmory University School of Medicine
  • James E. Browning
    • Department of Cancer Epidemiology, Division of Population SciencesH. Lee Moffitt Cancer Center and Research Institute
  • Melissa H. Madden
    • Department of Cancer Epidemiology, Division of Population SciencesH. Lee Moffitt Cancer Center and Research Institute
  • Y. Ann Chen
    • Department of BiostatisticsH. Lee Moffitt Cancer Center & Research Institute
    • Department of Cancer Epidemiology, Division of Population SciencesH. Lee Moffitt Cancer Center and Research Institute
Clinical Study – Patient Study

DOI: 10.1007/s11060-011-0634-1

Cite this article as:
Permuth-Wey, J., Thompson, R.C., Burton Nabors, L. et al. J Neurooncol (2011) 105: 639. doi:10.1007/s11060-011-0634-1

Abstract

MicroRNAs (miRNAs) are non-coding RNAs that function as post-transcriptional regulators of tumor suppressors and oncogenes. Single nucleotide polymorphisms (SNPs) in miRNAs may contribute to carcinogenesis by altering expression of miRNAs and their targets. A G>C polymorphism (rs2910164) in the miR-146a precursor sequence leads to a functional change associated with the risk for numerous malignancies. A role for this SNP in glioma pathogenesis has not yet been examined. We investigated whether rs2910164 genotypes influence glioma risk and prognosis in a multi-center case–control study comprised of 593 Caucasian glioma cases and 614 community-based controls. Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for rs2910164 genotypes according to case status. Cox proportional hazards regression modeling was used to estimate hazards ratios (HR) and 95% CIs according to genotype among glioblastomas, the most lethal glioma subtype. An increased glioma risk was observed among rs2910164 minor allele (C) carriers (per allele OR (95% CI) = 1.22 (1.01–1.46, ptrend = 0.039)). The association was stronger among older subjects carrying at least one copy of the C allele (OR (95% CI) = 1.38 (1.04–1.83, P = 0.026). Mortality was increased among minor allele carriers (HR (95% CI) = 1.33 (1.03–1.72, P = 0.029)), with the association largely restricted to females (HR (95% CI) = 2.02 (1.28–3.17, P = 0.002)). We provide novel data suggesting rs2910164 genotype may contribute to glioma susceptibility and outcome. Future studies are warranted to replicate these findings and characterize mechanisms underlying these associations.

Keywords

GenotypeGliomaSusceptibilitySingle nucleotide polymorphismMicroRNA

Copyright information

© Springer Science+Business Media, LLC. 2011