Department of Surgery, Lund University, Skåne University Hospital, SE- 205 02 Malmö, Sweden.
BMC Cancer. 2014 Mar 28;14:229. doi: 10.1186/1471-2407-14-229.
The aim of this study was to examine breast density in relation to breast cancer specific survival and to assess if this potential association was modified by mode of detection. An additional aim was to study whether the established association between mode of detection and survival is modified by breast density.
The study included 619 cases from a prospective cohort, The Malmö Diet and Cancer Study. Breast density estimated qualitatively, was analyzed in relation to breast cancer death, in non-symptomatic and symptomatic women, using Cox regression calculating hazard ratios (HR) with 95% confidence intervals. Adjustments were made in several steps for; diagnostic age, tumour size, axillary lymph node involvement, grade, hormone receptor status, body mass index (baseline), diagnostic period, use of hormone replacement therapy at diagnosis and mode of detection. Detection mode in relation to survival was analyzed stratified for breast density. Differences in HR following different adjustments were analyzed by Freedmans%.
After adjustment for age and other prognostic factors, women with dense, as compared to fatty breasts, had an increased risk of breast cancer death, HR 2.56:1.07-6.11, with a statistically significant trend over density categories, p = 0.04. In the stratified analysis, the effect was less pronounced in non-symptomatic women, HR 2.04:0.49-8.49 as compared to symptomatic, HR 3.40:1.06-10.90. In the unadjusted model, symptomatic women had a higher risk of breast cancer death, regardless of breast density. Analyzed by Freedmans%, age, tumour size, lymph nodes, grade, diagnostic period, ER and PgR explained 55.5% of the observed differences in mortality between non-symptomatic and symptomatic cases. Additional adjustment for breast density caused only a minor change.
High breast density at diagnosis may be associated with decreased breast cancer survival. This association appears to be stronger in women with symptomatic cancers but breast density could not explain differences in survival according to detection mode.
本研究旨在探讨乳腺密度与乳腺癌特异性生存的关系,并评估其与检测方式的相关性是否存在修饰作用。本研究的另一目的是研究检测方式与生存之间的关联是否受乳腺密度的修饰作用影响。
该研究纳入了前瞻性队列研究——马尔默饮食与癌症研究中的 619 例病例。采用 Cox 回归计算危险比(HR)和 95%置信区间,对定性评估的乳腺密度与非症状性和症状性女性的乳腺癌死亡进行分析。通过逐步调整诊断年龄、肿瘤大小、腋窝淋巴结受累、分级、激素受体状态、体重指数(基线)、诊断期、诊断时激素替代疗法的使用以及检测方式,对数据进行了调整。根据乳腺密度对检测方式与生存之间的关系进行分层分析。通过 Freedman 检验分析不同调整因素对 HR 的影响差异。
在调整年龄和其他预后因素后,与脂肪型乳房相比,致密型乳房的女性乳腺癌死亡风险增加,HR 为 2.56:1.07-6.11,且密度分类呈显著趋势,p=0.04。在分层分析中,非症状性女性的效应较弱,HR 为 2.04:0.49-8.49,而症状性女性的 HR 为 3.40:1.06-10.90。在未调整模型中,无论乳腺密度如何,症状性女性的乳腺癌死亡风险均较高。通过 Freedman 检验分析,年龄、肿瘤大小、淋巴结、分级、诊断期、ER 和 PgR 解释了非症状性和症状性病例之间死亡率差异的 55.5%。进一步调整乳腺密度仅引起微小变化。
诊断时的高乳腺密度可能与乳腺癌生存降低有关。这种相关性在症状性癌症女性中似乎更强,但乳腺密度不能解释检测方式与生存之间的差异。