Evaluation of Genetic Variants in MicroRNA-Related Genes and Risk of Bladder Cancer

Autor: Yong Zhu, Hushan Yang, Xifeng Wu, H. Barton Grossman, Yuanqing Ye, Colin P.N. Dinney
Rok vydání: 2008
Předmět:
Zdroj: Cancer Research. 68:2530-2537
ISSN: 1538-7445
0008-5472
Popis: MicroRNAs (miRNA) are small noncoding RNA molecules involved in a diversity of cellular functions. Although it has been reported that global suppression of the miRNA biogenesis pathway leads to enhanced tumorigenesis, the effect of common genetic variants of miRNA-related genes on cancer predisposition is unclear. To better understand this effect, we genotyped 41 single-nucleotide polymorphisms (SNP) from 24 miRNA-related genes in a case-control study conducted in 746 Caucasian patients with bladder cancer and 746 matched controls. The homozygous variant genotype of a nonsynonymous SNP in the GEMIN3 gene (rs197414) was associated with a significantly increased bladder cancer risk [odds ratios (OR), 2.40; 95% confidence interval (95% CI), 1.04–5.56]. Several additional miRNA-related SNPs were also identified that showed a borderline significant association with bladder cancer risk. Haplotype analysis indicated that a common haplotype of the GEMIN4 gene was associated with a significantly increased bladder cancer risk with an OR of 1.25 (95% CI, 1.01–1.54). To assess the aggregate effects of the promising SNPs, we performed a combined unfavorable genotype analysis that included all SNPs showing at least a borderline statistical significance. We found that, compared with the low-risk reference group with less than two unfavorable genotypes, the medium-risk group with two unfavorable genotypes exhibited a 1.29-fold (0.92–1.81) increased risk whereas the high-risk group with more than two unfavorable genotypes exhibited a 1.92-fold (1.36–2.71) increased risk (Ptrend < 0.0001). Overall, this is the first epidemiologic study showing that miRNA-related genetic variants may affect bladder cancer risk individually and jointly. [Cancer Res 2008;68(7):2530–7]
Databáze: OpenAIRE