Polymorphisms in the kinesin-like factor 1 B gene and risk of epithelial ovarian cancer in Eastern Chinese women.
Polymorphisms in the kinesin-like factor 1 B gene and risk of epithelial ovarian cancer in Eastern Chinese women.
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中国东部女性驱动蛋白样因子 1 B 基因多态性与上皮性卵巢癌风险。
DOI:
10.1007/s13277-015-3394-2
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Wei Qingyi
中科院分区:
文献类型:
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作者:
Shi Ting-Yan;Jiang Zhi;Jiang Rong;Yin Sheng;Wang Meng-Yun;Yu Ke-Da;Shao Zhi-Ming;Sun Meng-Hong;Zang Rongyu;Wei Qingyi
Thekinesin-like factor 1 B(KIF1B) gene plays an important role in the process of apoptosis and the transformation and progression of malignant cells. Genetic variations inKIF1Bmay contribute to risk of epithelial ovarian cancer (EOC). In this study of 1,324 EOC patients and 1,386 cancer-free female controls, we investigated associations between two potentially functional single nucleotide polymorphisms inKIF1Band EOC risk by the conditional logistic regression analysis. General linear regression model was used to evaluate the correlation between the number of variant alleles andKIF1BmRNA expression levels. We found that the rs17401966 variant AG/GG genotypes were significantly associated with a decreased risk of EOC (adjusted odds ratio (OR) = 0.81, 95 % confidence interval (CI) = 0.68–0.97), compared with the AA genotype, but no associations were observed for rs1002076. Women who carried both rs17401966 AG/GG and rs1002076 AG/AA genotypes ofKIF1Bhad a 0.82-fold decreased risk (adjusted 95 % CI = 0.69–0.97), compared with others. Additionally, there was no evidence of possible interactions between about-mentioned co-variants. Further genotype-phenotype correlation analysis indicated that the number of rs17401966 variant G allele was significantly associated withKIF1BmRNA expression levels (Pfor GLM = 0.003 and 0.001 in all and Chinese subjects, respectively), with GG carriers having the lowest level ofKIF1BmRNA expression. Taken together, the rs17401966 polymorphism likely regulatesKIF1BmRNA expression and thus may be associated with EOC risk in Eastern Chinese women. Larger, independent studies are warranted to validate our findings.