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本文引用的文献

1
Association between mammographic density and age-related lobular involution of the breast.乳腺钼靶密度与年龄相关的乳腺小叶退化的关系。
J Clin Oncol. 2010 May 1;28(13):2207-12. doi: 10.1200/JCO.2009.23.4120. Epub 2010 Mar 29.
2
Novel breast tissue feature strongly associated with risk of breast cancer.与乳腺癌风险密切相关的新型乳腺组织特征。
J Clin Oncol. 2009 Dec 10;27(35):5893-8. doi: 10.1200/JCO.2008.21.5079. Epub 2009 Oct 5.
3
Prevention of breast cancer in postmenopausal women: approaches to estimating and reducing risk.绝经后女性乳腺癌的预防:风险评估与降低风险的方法
J Natl Cancer Inst. 2009 Mar 18;101(6):384-98. doi: 10.1093/jnci/djp018. Epub 2009 Mar 10.
4
Assessment of the accuracy of the Gail model in women with atypical hyperplasia.评估盖尔模型在非典型增生女性中的准确性。
J Clin Oncol. 2008 Nov 20;26(33):5374-9. doi: 10.1200/JCO.2007.14.8833. Epub 2008 Oct 14.
5
Mammographic density, lobular involution, and risk of breast cancer.乳腺钼靶密度、小叶退化与乳腺癌风险
Br J Cancer. 2008 Nov 4;99(9):1369-74. doi: 10.1038/sj.bjc.6604635. Epub 2008 Sep 9.
6
Age-specific trends in mammographic density: the Minnesota Breast Cancer Family Study.乳房X线密度的年龄特异性趋势:明尼苏达乳腺癌家族研究
Am J Epidemiol. 2008 May 1;167(9):1027-36. doi: 10.1093/aje/kwn063. Epub 2008 Apr 2.
7
Mammographic density, breast cancer risk and risk prediction.乳腺钼靶密度、乳腺癌风险及风险预测
Breast Cancer Res. 2007;9(6):217. doi: 10.1186/bcr1829.
8
Reproducibility of visual assessment on mammographic density.乳腺X线密度视觉评估的可重复性。
Breast Cancer Res Treat. 2008 Mar;108(1):121-7. doi: 10.1007/s10549-007-9581-0. Epub 2007 Jul 7.
9
Mammographic density and the risk and detection of breast cancer.乳腺钼靶密度与乳腺癌的风险及检测
N Engl J Med. 2007 Jan 18;356(3):227-36. doi: 10.1056/NEJMoa062790.
10
The risk of cancer risk prediction: "What is my risk of getting breast cancer"?癌症风险预测:“我患乳腺癌的风险有多大?”
J Natl Cancer Inst. 2006 Dec 6;98(23):1673-5. doi: 10.1093/jnci/djj501.

小叶退化和乳腺 X 线摄影密度与乳腺癌风险的独立相关性。

Independent association of lobular involution and mammographic breast density with breast cancer risk.

机构信息

Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.

出版信息

J Natl Cancer Inst. 2010 Nov 17;102(22):1716-23. doi: 10.1093/jnci/djq414. Epub 2010 Oct 29.

DOI:10.1093/jnci/djq414
PMID:21037116
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2982810/
Abstract

BACKGROUND

Lobular involution, or age-related atrophy of breast lobules, is inversely associated with breast cancer risk, and mammographic breast density (MBD) is positively associated with breast cancer risk.

METHODS

To evaluate whether lobular involution and MBD are independently associated with breast cancer risk in women with benign breast disease, we performed a nested cohort study among women (n = 2666) with benign breast disease diagnosed at Mayo Clinic between January 1, 1985, and December 31, 1991 and a mammogram available within 6 months of the diagnosis. Women were followed up for an average of 13.3 years to document any breast cancer incidence. Lobular involution was categorized as none, partial, or complete; parenchymal pattern was classified using the Wolfe classification as N1 (nondense), P1, P2 (ductal prominence occupying <25%, or >25% of the breast, respectively), or DY (extremely dense). Hazard ratios (HRs) and 95% confidence intervals (CIs) to assess associations of lobular involution and MBD with breast cancer risk were estimated using adjusted Cox proportional hazards model. All tests of statistical significance were two-sided.

RESULTS

After adjustment for MBD, having no or partial lobular involution was associated with a higher risk of breast cancer than having complete involution (none: HR of breast cancer incidence = 2.62, 95% CI = 1.39 to 4.94; partial: HR of breast cancer incidence = 1.61, 95% CI = 1.03 to 2.53; P(trend) = .002). Similarly, after adjustment for involution, having dense breasts was associated with higher risk of breast cancer than having nondense breasts (for DY: HR of breast cancer incidence = 1.67, 95% CI = 1.03 to 2.73; for P2: HR of breast cancer incidence = 1.96, 95% CI = 1.20 to 3.21; for P1: HR of breast cancer incidence = 1.23, 95% CI = 0.67 to 2.26; P(trend) = .02). Having a combination of no involution and dense breasts was associated with higher risk of breast cancer than having complete involution and nondense breasts (HR of breast cancer incidence = 4.08, 95% CI = 1.72 to 9.68; P = .006).

CONCLUSION

Lobular involution and MBD are independently associated with breast cancer incidence; combined, they are associated with an even greater risk for breast cancer.

摘要

背景

小叶退化,或与年龄相关的乳腺小叶萎缩,与乳腺癌风险呈负相关,而乳腺密度(MBD)与乳腺癌风险呈正相关。

方法

为了评估小叶退化和 MBD 是否与患有良性乳腺疾病的女性的乳腺癌风险独立相关,我们对 1985 年 1 月 1 日至 1991 年 12 月 31 日期间在梅奥诊所诊断为良性乳腺疾病的女性(n=2666)进行了嵌套队列研究,并且在诊断后 6 个月内可获得乳房 X 光检查。对女性进行了平均 13.3 年的随访,以记录任何乳腺癌的发病率。小叶退化分为无、部分或完全;使用 Wolfe 分类法将实质模式分为 N1(非致密型)、P1、P2(导管突出占乳房的<25%或>25%,分别)或 DY(极致密型)。使用调整后的 Cox 比例风险模型估计小叶退化和 MBD 与乳腺癌风险之间的关联的风险比(HR)和 95%置信区间(CI)。所有统计学检验均为双侧。

结果

在调整 MBD 后,无或部分小叶退化与更高的乳腺癌风险相关,而完全退化则无此相关性(无:乳腺癌发病率的 HR=2.62,95%CI=1.39-4.94;部分:乳腺癌发病率的 HR=1.61,95%CI=1.03-2.53;P(趋势)=0.002)。同样,在调整退化后,致密乳房与更高的乳腺癌风险相关,而非致密乳房(对于 DY:乳腺癌发病率的 HR=1.67,95%CI=1.03-2.73;对于 P2:乳腺癌发病率的 HR=1.96,95%CI=1.20-3.21;对于 P1:乳腺癌发病率的 HR=1.23,95%CI=0.67-2.26;P(趋势)=0.02)。无退化和致密乳房的组合与更高的乳腺癌风险相关,而完全退化和非致密乳房则无此相关性(乳腺癌发病率的 HR=4.08,95%CI=1.72-9.68;P=0.006)。

结论

小叶退化和 MBD 与乳腺癌的发生率独立相关;两者结合在一起,与乳腺癌的风险甚至更高。