Mammographic density and breast cancer risk in White and African American Women.

Mammographic density and breast cancer risk in White and African American Women.
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DOI:
10.1007/s10549-012-2185-3
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发表时间:
2012-09
影响因子:
3.8
通讯作者:
Millikan, Robert C.
Millikan, Robert C.
中科院分区:
医学2区
文献类型:
--
作者:
Razzaghi, Hilda;Troester, Melissa A.;Gierach, Gretchen L.;Olshan, Andrew F.;Yankaskas, Bonnie C.;Millikan, Robert C.

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乳房x线摄影密度是乳腺癌的一个重要危险因素,但有关非裔美国人(AA)妇女的数据有限。我们研究了AA和白人女性乳房x线摄影密度与乳腺癌风险之间的关系。病例(n = 491)和对照组(n = 528)来自卡罗莱纳乳腺癌研究(CBCS),他们也在卡罗莱纳乳房x光检查登记处(CMR)记录了乳房x光检查。使用乳腺成像报告和数据系统(BI-RADS)分类向CMR报告乳房x线摄影密度。在所有女性中,乳房x线摄影密度的增加与乳腺癌风险的增加有关。在调整了潜在的混杂因素后,在BI-RADS密度最高和最低的类别之间观察到单调增加的乳腺癌风险[OR = 2.45,(95%置信区间:0.99,6.09)]。这种关联在白人中更强,与散在纤维腺密度的人相比,乳腺密度极高的人患乳腺癌的风险高出约40%[1.39,(0.75,2.55)]。在AA女性中,同样的比较表明风险较低[0.75,(0.30,1.91)]。由于年龄、肥胖和外源性激素与CBCS中的乳腺癌风险、乳房x线摄影密度和种族有很强的相关性,因此考虑了这些因素对效应测量的修改。与先前文献一致,BMI为bbb30和目前使用激素的人群中,密度相关风险最大(P值分别为0.02和0.01)。在CBCS中,乳房x线摄影密度与乳腺癌风险增加有关,虽然结果没有统计学意义,但也有一些种族影响测量改变的迹象。然而,暴露如BMI和激素治疗可能是这种关联的重要改变因素,值得进一步研究。
Mammographic density is a strong risk factor for breast cancer, but limited data are available in African American (AA) women. We examined the association between mammographic density and breast cancer risk in AA and white women. Cases (n = 491) and controls (n = 528) were from the Carolina Breast Cancer Study (CBCS) who also had mammograms recorded in the Carolina Mammography Registry (CMR). Mammographic density was reported to CMR using Breast Imaging Reporting and Data System (BI-RADS) categories. Increasing mammographic density was associated with increased breast cancer risk among all women. After adjusting for potential confounders, a monotonically increasing risk of breast cancer was observed between the highest versus the lowest BI-RADS density categories [OR = 2.45, (95 % confidence interval: 0.99, 6.09)]. The association was stronger in whites, with ~40 % higher risk among those with extremely dense breasts compared to those with scattered fibroglandular densities [1.39, (0.75, 2.55)]. In AA women, the same comparison suggested lower risk [0.75, (0.30, 1.91)]. Because age, obesity, and exogenous hormones have strong associations with breast cancer risk, mammographic density, and race in the CBCS, effect measure modification by these factors was considered. Consistent with previous literature, density-associated risk was greatest among those with BMI > 30 and current hormone users (P value = 0.02 and 0.01, respectively). In the CBCS, mammographic density is associated with increased breast cancer risk, with some suggestion of effect measure modification by race, although results were not statistically significant. However, exposures such as BMI and hormone therapy may be important modifiers of this association and merit further investigation.
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