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Genetic variation in PRL and PRLR, and relationships with serum prolactin levels and breast cancer risk: results from a population-based case-control study in Poland

机译:PRL和PRLR的遗传变异,以及与血清催乳素水平和乳腺癌风险的关系:波兰中基于人口的案例对照研究的结果

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IntroductionStudies suggest that high circulating levels of prolactin increase breast cancer risk. It is unclear if genetic variations in prolactin (PRL) or prolactin receptor (PRLR) genes also play a role. Thus, we examined the relationship between single nucleotide polymorphisms (SNPs) in PRL and PRLR, serum prolactin levels and breast cancer risk in a population-based case-control study.MethodsWe genotyped 8 PRL and 20 PRLR tag SNPs in 1965 breast cancer cases and 2229 matched controls, aged 20-74, and living in Warsaw or ?ód?, Poland. Serum prolactin levels were measured by immunoassay in a subset of 773 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) for genotype associations with breast cancer risk were estimated using unconditional logistic regression, adjusted for age and study site. Geometric mean prolactin levels were estimated using linear regression models adjusted for age, study site, blood collection time, and menstrual cycle day (premenopausal women).ResultsThree SNPs were associated with breast cancer risk: in premenopausal women, PRLR rs249537 (T vs. C per-allele OR 1.39, 95% CI 1.07 - 1.80, P = 0.01); and in postmenopausal women, PRLR rs7718468 (C vs. T per-allele OR 1.16, 95% CI 1.03 - 1.30, P = 0.01) and PRLR rs13436213 (A vs. G per-allele OR 1.13 95% CI 1.01 - 1.26, P = 0.04). However, mean serum prolactin levels for these SNPs did not vary by genotype (P-trend > 0.05). Other SNPs were associated with serum prolactin levels: PRLR rs62355518 (P-trend = 0.01), PRLR rs10941235 (P-trend = 0.01), PRLR rs1610218 (P-trend = 0.01), PRLR rs34024951 (P-trend = 0.02), and PRLR rs9292575 (P-trend = 0.03) in premenopausal controls and PRL rs849872 (P-trend = 0.01) in postmenopausal controls.ConclusionsOur data provide limited support for an association between common variations in PRLR and breast cancer risk. Altered serum prolactin levels were not associated with breast cancer risk-associated variants, suggesting that common genetic variation is not a strong predictor of prolactin-associated breast cancer risk in this population.
机译:引入术表明,高循环水平的催乳素增加了乳腺癌风险。目前尚不清楚催乳素(PRL)或催乳素受体(PRLR)基因的遗传变异也发挥作用。因此,我们研究了PRL和PRLR,血清催乳素水平和乳腺癌风险的单一核苷酸多态性(SNP)之间的关系,在基于人群的案例对照研究中。在1965年的乳腺癌病例和1965年乳腺癌病例中的近期基因分型8 PRL和20个PRLR标签SNP。 2229年匹配的控件,20-74岁,生活在华沙或?,波兰。通过免疫测定在773对照的子集中测量血清催乳素水平。使用无条件后勤回归估计与乳腺癌风险的基因型关联的差异比率(或者)和95%置信区间(CIs)估计,调整为年龄和研究现场。使用针对年龄,研究现场,血液收集时间和月经周期(前辈妇女)调整的线性回归模型估计几何平均催乳素水平.Resultsthree SNP与乳腺癌风险有关:在绝经女性中,PRLR RS249537(T VS. C每位等位基因或1.39,95%CI 1.07 - 1.80,P = 0.01);在绝经后妇女,PRLR RS7718468(C vs. T.1,116,95%CI 1.03 - 1.30,P = 0.01)和PRLR RS13436213(A vs.g Per-Allele或1.13 95%CI 1.01 - 1.26,P = 0.04)。然而,这些SNP的平均血清催乳素水平不会因基因型而异(P趋势> 0.05)不等。其他SNP与血清催乳素水平有关:PRLR RS62355518(P-Transpration = 0.01),PRLR RS10941235(P-Trend = 0.01),PRLR RS1610218(P-Trend = 0.01),PRLR RS34024951(P-Trend = 0.02),和PRLR RS9292575(P-Transpration = 0.03)在绝经后的预留控制和PRL RS849872(P-Transt = 0.01)中,在绝经后usal控件.Conclusionsour数据在PRLR和乳腺癌风险的常见变化之间提供有限的支持。改变的血清催乳素水平与乳腺癌风险相关的变异无关,表明常见的遗传变异不是这种人群中催乳素相关的乳腺癌风险的强烈预测因子。

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