Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States.
Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, United States.
Clin Nutr. 2022 Dec;41(12):2607-2613. doi: 10.1016/j.clnu.2022.09.016. Epub 2022 Oct 4.
BACKGROUND & AIMS: Computed tomography (CT) scans can measure quantity and distribution of adipose tissue, which are associated with breast cancer prognosis. As a novel prognostic marker, radiodensity of adipose tissue has been examined in multiple cancer types, but never in breast cancer. Lower density indicates larger adipocytes with greater lipid content, whereas higher density can reflect inflammation, fibrosis, vascularity, or even metabolic changes; and both may impact breast cancer prognosis.
We included 2868 nonmetastatic patients with breast cancer diagnosed between January 2005 and December 2013 at Kaiser Permanente Northern California, an integrated healthcare system. From CT scans at diagnosis, we assessed the radiodensity of subcutaneous (SAT) and visceral adipose tissue (VAT) at the third lumbar vertebra and categorized their radiodensity into three levels: low (<1 standard deviation [SD] below the mean), middle (mean ± 1 SD), and high (>1 SD above the mean). Using multivariable Cox proportional hazards regression with adjustment for clinicopathological characteristics including body mass index, we calculated hazard ratios (HRs [95% confidence intervals]) for the associations of adipose tissue radiodensity with overall mortality and breast-cancer-specific mortality.
Median age at diagnosis of breast cancer was 56.0 years, most (63.3%) were non-Hispanic White and nearly half (45.6%) were stage II. Compared to middle SAT radiodensity, high SAT radiodensity was significantly associated with increased risk of overall mortality (HR: 1.45 [1.15-1.81]), non-significantly with breast-cancer-specific mortality (HR: 1.32 [0.95-1.84]). Neither low SAT radiodensity nor high or low VAT radiodensity was significantly associated with overall or breast-cancer-specific mortality.
High radiodensity of SAT at diagnosis of nonmetastatic breast cancer was associated with increased risk of overall mortality, independent of adiposity and other prognostic factors. Considering both radiodensity and quantity of adipose tissue at different locations could deepen understanding of the role of adiposity in breast cancer survival.
计算机断层扫描(CT)可测量脂肪组织的数量和分布,这些与乳腺癌的预后相关。作为一种新的预后标志物,脂肪组织的密度已在多种癌症类型中进行了检查,但从未在乳腺癌中进行过检查。较低的密度表示具有更大脂质含量的更大脂肪细胞,而较高的密度可能反映炎症、纤维化、血管生成,甚至代谢变化;两者都可能影响乳腺癌的预后。
我们纳入了 2005 年 1 月至 2013 年 12 月期间在 Kaiser Permanente Northern California 接受诊断的 2868 例非转移性乳腺癌患者,该机构为综合性医疗系统。从诊断时的 CT 扫描中,我们评估了第三腰椎处的皮下(SAT)和内脏脂肪组织(VAT)的密度,并将其密度分为三个等级:低(低于平均值 1 个标准差以下)、中(平均值±1 个标准差)和高(高于平均值 1 个标准差以上)。使用多变量 Cox 比例风险回归,根据包括体重指数在内的临床病理特征进行调整,我们计算了脂肪组织密度与总死亡率和乳腺癌特异性死亡率之间关联的危险比(HR [95%置信区间])。
乳腺癌诊断时的中位年龄为 56.0 岁,大多数(63.3%)为非西班牙裔白人,近一半(45.6%)为 II 期。与中 SAT 密度相比,高 SAT 密度与总死亡率升高显著相关(HR:1.45 [1.15-1.81]),与乳腺癌特异性死亡率无显著相关性(HR:1.32 [0.95-1.84])。低 SAT 密度或高或低 VAT 密度均与总死亡率或乳腺癌特异性死亡率无显著相关性。
非转移性乳腺癌诊断时 SAT 高放射密度与总死亡率升高相关,独立于肥胖和其他预后因素。考虑不同部位脂肪组织的密度和数量可以加深对肥胖在乳腺癌生存中的作用的理解。