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首页> 外文期刊>British Journal of Cancer >An analysis of the association between prostate cancer risk loci, PSA levels, disease aggressiveness and disease-specific mortality
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An analysis of the association between prostate cancer risk loci, PSA levels, disease aggressiveness and disease-specific mortality

机译:前列腺癌危险基因座,PSA水平,疾病侵袭性和疾病特异性死亡率之间的关联分析

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Background: Genome-wide association studies have identified multiple single-nucleotide polymorphsims (SNPs) associated with prostate cancer (PCa). Although these SNPs have been clearly associated with disease risk, their relationship with clinical outcomes is less clear. Our aim was to assess the frequency of known PCa susceptibility alleles within a single institution ascertainment and to correlate risk alleles with disease-specific outcomes. Methods: We genotyped 1354 individuals treated for localised PCa between June 1988 and December 2007. Blood samples were prospectively collected and de-identified before being genotyped and matched to phenotypic data. We investigated associations between 61 SNPs and disease-specific end points using multivariable analysis and also determined if SNPs were associated with PSA at diagnosis. Results: Seven SNPs showed associations on multivariable analysis ( P <0.05), rs13385191 with both biochemical recurrence (BR) and castrate metastasis (CM), rs339331 (BR), rs1894292, rs17178655 and rs11067228 (CM), and rs11902236 and rs4857841 PCa-specific mortality. After applying a Bonferroni correction for number of SNPs ( P <0.0008), the only persistent significant association was between rs17632542 ( KLK3 ) and PSA levels at diagnosis ( P =1.4 × 10~(?5)). Conclusions: We confirmed that rs17632542 in KLK3 is associated with PSA at diagnosis. No significant association was seen between loci and disease-specific end points when accounting for multiple testing. This provides further evidence that known PCa risk SNPs do not predict likelihood of disease progression.
机译:背景:全基因组关联研究已经确定了与前列腺癌(PCa)相关的多个单核苷酸多态性(SNP)。尽管这些SNP与疾病的风险明显相关,但它们与临床结果的关系尚不清楚。我们的目的是评估在单个机构中确定的已知PCa易感性等位基因的频率,并将风险等位基因与疾病特异性结果相关联。方法:我们对1988年6月至2007年12月间接受局部PCa治疗的1354名患者进行了基因分型。在对血样进行基因分型并与表型数据进行匹配之前,对这些患者进行了前瞻性采集和鉴定。我们使用多变量分析调查了61个SNP与疾病特异性终点之间的关联,并在诊断时确定了SNP是否与PSA相关。结果:7个SNPs在多变量分析中显示(P <0.05),rs13385191与生化复发(BR)和去势转移(CM)相关,rs339331(BR),rs1894292,rs17178655和rs11067228(CM),以及rs11902236和rs4857841 PCa-比死亡率。在应用Bonferroni校正SNP的数量后(P <0.0008),在诊断时,唯一的持久显着关联是rs17632542(KLK3)与PSA水平之间的关联(P = 1.4×10〜(?5))。结论:我们确认KLK3中的rs17632542与PSA在诊断时相关。进行多次测试时,在基因座和疾病特异性终点之间未发现明显关联。这提供了进一步的证据,证明已知的PCa风险SNP不能预测疾病进展的可能性。

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