Masala Giovanna, Assedi Melania, Bendinelli Benedetta, Pastore Elisa, Gilio Maria Antonietta, Mazzalupo Vincenzo, Querci Andrea, Fontana Miriam, Duroni Giacomo, Facchini Luigi, Saieva Calogero, Palli Domenico, Ambrogetti Daniela, Caini Saverio
Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), 50139 Florence, Italy.
Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), 50139 Florence, Italy.
Cancers (Basel). 2023 Mar 16;15(6):1810. doi: 10.3390/cancers15061810.
Mammographic breast density (MBD) is a strong independent risk factor for breast cancer (BC). We investigated the association between volumetric MBD measures, their changes over time, and BC risk in a cohort of women participating in the FEDRA (Florence-EPIC Digital mammographic density and breast cancer Risk Assessment) study. The study was carried out among 6148 women with repeated MBD measures from full-field digital mammograms and repeated information on lifestyle habits, reproductive history, and anthropometry. The association between MBD measures (modeled as time-dependent covariates), their relative annual changes, and BC risk were evaluated by adjusted Cox models. During an average of 7.8 years of follow-up, 262 BC cases were identified. BC risk was directly associated with standard deviation increments of volumetric percent density (VPD, HR 1.37, 95%CI 1.22-1.54) and dense volume (DV, HR 1.29, 95%CI 1.18-1.41). An inverse association emerged with non-dense volume (NDV, HR 0.82, 95%CI 0.69-0.98). No significant associations emerged between annual changes in VPD, DV, NDV, and BC risk. Higher values of MBD measures, modeled as time-dependent covariates, were positively associated with increased BC risk, while an inverse association was evident for increasing NDV. No effect of annual changes in MBD emerged.
乳腺钼靶密度(MBD)是乳腺癌(BC)的一个强有力的独立危险因素。我们在参与FEDRA(佛罗伦萨-欧洲癌症与营养前瞻性研究数字乳腺密度与乳腺癌风险评估)研究的一组女性中,调查了体积性MBD测量值、其随时间的变化与BC风险之间的关联。该研究在6148名女性中进行,她们有来自全视野数字乳腺钼靶的重复MBD测量值,以及关于生活习惯、生殖史和人体测量学的重复信息。通过调整后的Cox模型评估MBD测量值(建模为时间依存协变量)、其相对年度变化与BC风险之间的关联。在平均7.8年的随访期间,共确定了262例BC病例。BC风险与体积百分比密度(VPD)标准差增加(HR 1.37,95%CI 1.22-1.54)和致密体积(DV,HR 1.29,95%CI 1.18-1.41)直接相关。与非致密体积(NDV,HR 0.82,95%CI 0.69-0.98)呈负相关。VPD、DV、NDV的年度变化与BC风险之间未发现显著关联。以时间依存协变量建模的较高MBD测量值与BC风险增加呈正相关,而NDV增加则呈负相关。MBD的年度变化未产生影响。