Radboud Institute for Health Sciences (Department for Health Evidence, Mailbox 133), Radboud university medical center, PO Box 9101, Nijmegen, 6500, HB, The Netherlands.
Dutch Expert Centre for Screening, PO Box 6873, Nijmegen, 6503, GJ, The Netherlands.
BMC Cancer. 2018 Apr 5;18(1):386. doi: 10.1186/s12885-018-4316-7.
Breast density is known to affect breast cancer risk and screening sensitivity, but it may also be associated with breast cancer survival. The interpretation of results from previous studies on breast density and survival is complicated by the association between detection mode and survival. Here, we studied the effect of breast density on breast cancer-specific survival for different detection modes (screen-detected, interval ≤ 24 or > 24 months, non-participant).
Data from the Nijmegen (Dutch) breast cancer screening programme were used. Women diagnosed with invasive breast cancer between 1975 and 2011 were included. Breast density was assessed visually, based on a dichotomized Wolfe scale: 'fatty breasts' (≤25%) and 'dense breasts' (> 25%). Cox proportional hazard regression was used to obtain hazard ratios (HR).
We identified 2742 eligible women, with a breast pattern available for 2233 women. A diagnosis of interval cancer (HR 2.06, 95% CI 1.62-2.61) led to a significantly increased risk of breast cancer death compared with screen-detected cancer. No significant cause-specific survival difference between women with dense and fatty breasts was observed (HR 0.94, 95% CI 0.77-1.15). The hazard was only higher for women with dense breasts among interval cancers ≤24 m (HR 1.07, 95% CI 0.74-1.56). The hazard appeared to be lower for women with dense breasts than for women with fatty breasts among screen-detected (HR 0.77, 95% CI 0.53-1.11) and interval cancers > 24 m (HR 0.80, 95% CI 0.53-1.20). None of the effects were statistically significant.
Detection mode is strongly associated with breast cancer death. No clear association is apparent between breast density and breast cancer death, regardless of detection mode.
已知乳房密度会影响乳腺癌风险和筛查的敏感性,但它也可能与乳腺癌的生存有关。由于检测模式与生存之间存在关联,因此解释以前关于乳房密度与生存的研究结果变得复杂。在这里,我们研究了不同检测模式(筛查发现、间隔≤24 个月或>24 个月、非参与者)下乳房密度对乳腺癌特异性生存的影响。
使用尼美根(荷兰)乳腺癌筛查计划的数据。纳入 1975 年至 2011 年间诊断为浸润性乳腺癌的女性。基于二分类 Wolfe 量表评估乳房密度:“脂肪乳房”(≤25%)和“致密乳房”(>25%)。使用 Cox 比例风险回归获得危险比(HR)。
我们确定了 2742 名合格的女性,其中 2233 名女性的乳房模式可供评估。与筛查发现的癌症相比,诊断为间隔期癌症(HR 2.06,95%CI 1.62-2.61)导致乳腺癌死亡的风险显著增加。在致密乳房和脂肪乳房的女性之间,未观察到特定原因的生存差异(HR 0.94,95%CI 0.77-1.15)。仅在间隔期≤24 个月的癌症中,致密乳房的女性风险更高(HR 1.07,95%CI 0.74-1.56)。在筛查发现的癌症(HR 0.77,95%CI 0.53-1.11)和间隔期>24 个月的癌症(HR 0.80,95%CI 0.53-1.20)中,致密乳房的女性的风险似乎低于脂肪乳房的女性。这些影响均无统计学意义。
检测模式与乳腺癌死亡密切相关。无论检测模式如何,乳房密度与乳腺癌死亡之间均无明显关联。