Metformin use and prostate cancer in Caucasian men: results from a population-based case-control study.

Metformin use and prostate cancer in Caucasian men: results from a population-based case-control study.
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DOI:
10.1007/s10552-009-9407-y
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发表时间:
2009-11
影响因子:
2.3
通讯作者:
Stanford, Janet L.
Stanford, Janet L.
中科院分区:
医学4区
文献类型:
--
作者:
Wright, Jonathan L.;Stanford, Janet L.

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二甲双胍是一种治疗II型糖尿病的常用药物。流行病学研究表明,使用二甲双胍可降低患癌症的相对风险,前列腺癌(PCA)的临床前研究表明,二甲双胍具有抗肿瘤活性。在这项研究中,我们通过一项以人群为基础的病例对照研究,探讨了二甲双胍的使用与前列腺癌风险的关系。病例为华盛顿州金县2002年至2005年期间确诊的年龄在35-74岁的男性。对照组按年龄进行频率匹配,并通过随机数字拨号进行识别。二甲双胍的使用是从关于病史和处方史的面对面问卷中确定的。应用Logistic回归分析二甲双胍的使用与前列腺癌风险的关系。共有1,001例前列腺癌和942例对照可供分析。在高加索男性中,对照组中二甲双胍的使用比病例组更常见(4.7%对2.8%,P=0.04),导致PCa风险降低44%(调整后OR=60.56;95%CI 0.32-1.00)。在非洲裔美国男性中没有发现任何关联。在高加索人中,二甲双胍的使用与前列腺癌的相对风险显著降低有关。需要对这种关系进行进一步研究,以确认这种联系并确定涉及的潜在途径。
Metformin is a commonly used medication for type II diabetes mellitus. Epidemiologic studies have suggested a decreased relative risk of cancer with metformin use, and preclinical studies of prostate cancer (PCa) have shown antitumor activity with metformin. In this study, we explore the relationship between metformin use and PCa risk in a population-based case–control study. Cases were men aged 35–74 years diagnosed with PCa between 2002 and 2005 in King County, Washington. Controls were frequency matched by age and identified by random digit dialing. Use of metformin was determined from in-person questionnaires regarding medical and prescription history. The relationship of metformin use with PCa risk was evaluated using logistic regression. A total of 1,001 cases of PCa and 942 controls were available for analysis. In Caucasian men, metformin use was more common in controls than in cases (4.7 vs. 2.8%, p = 0.04), resulting in a 44% risk reduction for PCa (adjusted OR = 0.56; 95% CI 0.32–1.00). No association was seen in African-American men. Metformin use was associated with a borderline significant decrease in the relative risk of PCa in Caucasians. Further study into this relationship is needed to confirm the association and determine the underlying pathways involved.
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