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高密度脂蛋白胆固醇、肥胖与韩国女性的乳腺密度:健康双胞胎研究。

High-density lipoprotein cholesterol, obesity, and mammographic density in Korean women: the Healthy Twin study.

机构信息

Department of Epidemiology and Institute of Health and Environment, School of Public Health, Seoul National University, Seoul, Korea.

出版信息

J Epidemiol. 2011;21(1):52-60. doi: 10.2188/jea.je20100078. Epub 2010 Nov 6.

Abstract

BACKGROUND

High-density lipoprotein cholesterol (HDL-C) is reported to be associated with breast cancer risk. To better understand this association, we examined the relationship between HDL-C and mammographic density, a putative intermediate risk factor for breast cancer.

METHODS

The study subjects were 711 Korean women from the Healthy Twin study. Lipid parameters were assayed enzymatically in fresh sera, and percent dense area (PDA) and absolute dense area were measured from digital mammograms using a computer-assisted method.

RESULTS

PDA was positively associated with HDL-C in both premenopausal and postmenopausal women in a multivariable-adjusted linear mixed model, but the association did not persist when the model was additionally adjusted for body mass index (BMI). BMI was inversely associated with PDA, and this association did not change after additional adjustment for any lipid parameter. Multivariable-adjusted analysis showed that there were significant additive genetic cross-trait correlations between PDA and both HDL-C (coefficient, 0.175) and triglyceride (coefficient, -0.262). However, those correlations disappeared after additional adjustment for BMI.

CONCLUSIONS

HDL-C alone is unlikely to increase the risk of breast cancer in Korean women, particularly through changes in breast parenchyma that are apparent in mammographic density. BMI should be included in studies using analytical models where mammographic density is used as an intermediate risk factor for breast cancer.

摘要

背景

高密度脂蛋白胆固醇(HDL-C)与乳腺癌风险相关。为了更好地理解这种关联,我们研究了 HDL-C 与乳腺密度之间的关系,乳腺密度是乳腺癌的一个潜在中间风险因素。

方法

研究对象为来自健康双胞胎研究的 711 名韩国女性。采用酶法测定新鲜血清中的脂质参数,并使用计算机辅助方法从数字乳腺图像上测量百分密度区(PDA)和绝对密度区。

结果

多变量调整线性混合模型显示,在绝经前和绝经后妇女中,PDA 与 HDL-C 呈正相关,但当模型进一步调整体重指数(BMI)时,这种相关性并不持续。BMI 与 PDA 呈负相关,当进一步调整任何脂质参数时,这种相关性没有改变。多变量调整分析显示,PDA 与 HDL-C(系数 0.175)和甘油三酯(系数-0.262)之间存在显著的加性遗传交叉性状相关性。然而,这些相关性在进一步调整 BMI 后消失了。

结论

HDL-C 单独不太可能增加韩国女性患乳腺癌的风险,尤其是通过乳腺密度中明显的乳腺实质变化。在使用乳腺密度作为乳腺癌中间风险因素的分析模型中,应包括 BMI。

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