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花生四烯酸代谢基因多态性与前列腺癌风险的关联。

Associations between arachidonic acid metabolism gene polymorphisms and prostate cancer risk.

机构信息

Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, USA.

出版信息

Prostate. 2011 Sep 15;71(13):1382-9. doi: 10.1002/pros.21354. Epub 2011 Feb 9.

Abstract

BACKGROUND

The arachidonic acid (AA) pathway is suspected to be involved in the development of various cancers, including prostate cancer. However, the role of single nucleotide polymorphisms (SNPs) of AA pathway genes remains unclear. The purpose of this case-control study was to evaluate the association between prostate cancer risk and 14 such SNPs in the PTGS2, PTGES2, ALOX5, ALOX5AP, and LTA4H genes.

METHODS

Genotyping was conducted on 585 white prostate cancer cases and 585 healthy, age-matched controls. The best genetic model for each SNP was determined using Akaike's information criterion. Odds ratios for the association between each SNP and prostate cancer risk were calculated, both overall and stratified by obesity (BMI ≥ 30). Haplotype analysis was conducted for the PTGES2 SNPs.

RESULTS

LTA4H rs1978331 was inversely associated with prostate cancer risk overall (unadjusted, overdominant model OR = 0.68, 95% CI: 0.51-0.91 for TC vs. TT/CC). Among non-obese individuals, the GG genotype of PTGES2 rs10987883 was associated with an increased risk for prostate cancer (unadjusted, recessive model OR = 3.23, 95% CI: 1.27-8.23).

CONCLUSIONS

Our results indicate that SNPs in certain AA metabolism genes may influence prostate cancer susceptibility. Furthermore, it is possible that obesity, which induces a chronic state of low-level inflammation in addition to several metabolic sequelae, may modify the impact of these SNPs. These findings should be confirmed in a larger study with power to detect differential effects by obesity.

摘要

背景

花生四烯酸(AA)途径被怀疑与包括前列腺癌在内的各种癌症的发展有关。然而,AA 途径基因的单核苷酸多态性(SNP)的作用仍不清楚。本病例对照研究的目的是评估 PTGS2、PTGES2、ALOX5、ALOX5AP 和 LTA4H 基因中 14 个 AA 途径基因的 SNP 与前列腺癌风险之间的关联。

方法

对 585 例白人前列腺癌病例和 585 例年龄匹配的健康对照进行基因分型。使用赤池信息量准则确定每个 SNP 的最佳遗传模型。计算每个 SNP 与前列腺癌风险之间的关联的比值比(OR),同时按肥胖(BMI≥30)进行分层。对 PTGES2 SNP 进行单体型分析。

结果

LTA4H rs1978331 与前列腺癌风险总体呈负相关(未校正,优势模型 OR=0.68,95%CI:TC 对 TT/CC 为 0.51-0.91)。在非肥胖个体中,PTGES2 rs10987883 的 GG 基因型与前列腺癌风险增加相关(未校正,隐性模型 OR=3.23,95%CI:1.27-8.23)。

结论

我们的研究结果表明,某些 AA 代谢基因的 SNP 可能影响前列腺癌的易感性。此外,肥胖除了引起多种代谢后果外,还会引起慢性低度炎症状态,可能会改变这些 SNP 的影响。这些发现应该在一项具有检测肥胖差异影响的能力的更大研究中得到证实。

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