Plevritis Sylvia K, Munoz Diego, Kurian Allison W, Stout Natasha K, Alagoz Oguzhan, Near Aimee M, Lee Sandra J, van den Broek Jeroen J, Huang Xuelin, Schechter Clyde B, Sprague Brian L, Song Juhee, de Koning Harry J, Trentham-Dietz Amy, van Ravesteyn Nicolien T, Gangnon Ronald, Chandler Young, Li Yisheng, Xu Cong, Ergun Mehmet Ali, Huang Hui, Berry Donald A, Mandelblatt Jeanne S
Departments of Radiology and Biomedical Data Science, School of Medicine, Stanford University, Stanford, California.
Departments of Medicine and Health Research and Policy, School of Medicine, Stanford University, Stanford, California.
JAMA. 2018 Jan 9;319(2):154-164. doi: 10.1001/jama.2017.19130.
Given recent advances in screening mammography and adjuvant therapy (treatment), quantifying their separate and combined effects on US breast cancer mortality reductions by molecular subtype could guide future decisions to reduce disease burden.
To evaluate the contributions associated with screening and treatment to breast cancer mortality reductions by molecular subtype based on estrogen-receptor (ER) and human epidermal growth factor receptor 2 (ERBB2, formerly HER2 or HER2/neu).
DESIGN, SETTING, AND PARTICIPANTS: Six Cancer Intervention and Surveillance Network (CISNET) models simulated US breast cancer mortality from 2000 to 2012 using national data on plain-film and digital mammography patterns and performance, dissemination and efficacy of ER/ERBB2-specific treatment, and competing mortality. Multiple US birth cohorts were simulated.
Screening mammography and treatment.
The models compared age-adjusted, overall, and ER/ERBB2-specific breast cancer mortality rates from 2000 to 2012 for women aged 30 to 79 years relative to the estimated mortality rate in the absence of screening and treatment (baseline rate); mortality reductions were apportioned to screening and treatment.
In 2000, the estimated reduction in overall breast cancer mortality rate was 37% (model range, 27%-42%) relative to the estimated baseline rate in 2000 of 64 deaths (model range, 56-73) per 100 000 women: 44% (model range, 35%-60%) of this reduction was associated with screening and 56% (model range, 40%-65%) with treatment. In 2012, the estimated reduction in overall breast cancer mortality rate was 49% (model range, 39%-58%) relative to the estimated baseline rate in 2012 of 63 deaths (model range, 54-73) per 100 000 women: 37% (model range, 26%-51%) of this reduction was associated with screening and 63% (model range, 49%-74%) with treatment. Of the 63% associated with treatment, 31% (model range, 22%-37%) was associated with chemotherapy, 27% (model range, 18%-36%) with hormone therapy, and 4% (model range, 1%-6%) with trastuzumab. The estimated relative contributions associated with screening vs treatment varied by molecular subtype: for ER+/ERBB2-, 36% (model range, 24%-50%) vs 64% (model range, 50%-76%); for ER+/ERBB2+, 31% (model range, 23%-41%) vs 69% (model range, 59%-77%); for ER-/ERBB2+, 40% (model range, 34%-47%) vs 60% (model range, 53%-66%); and for ER-/ERBB2-, 48% (model range, 38%-57%) vs 52% (model range, 44%-62%).
In this simulation modeling study that projected trends in breast cancer mortality rates among US women, decreases in overall breast cancer mortality from 2000 to 2012 were associated with advances in screening and in adjuvant therapy, although the associations varied by breast cancer molecular subtype.
鉴于乳腺钼靶筛查和辅助治疗(疗法)的最新进展,通过分子亚型量化它们对美国乳腺癌死亡率降低的单独及联合作用,可为未来减轻疾病负担的决策提供指导。
基于雌激素受体(ER)和人表皮生长因子受体2(ERBB2,原HER2或HER2/neu),评估筛查和治疗对按分子亚型划分的乳腺癌死亡率降低的贡献。
设计、设置和参与者:六个癌症干预与监测网络(CISNET)模型使用关于平片和数字乳腺钼靶成像模式及性能、ER/ERBB2特异性治疗的传播与疗效以及竞争性死亡率的全国数据,模拟了2000年至2012年美国乳腺癌死亡率。模拟了多个美国出生队列。
乳腺钼靶筛查和治疗。
模型比较了2000年至2012年30至79岁女性的年龄调整后、总体及ER/ERBB2特异性乳腺癌死亡率与无筛查和治疗时的估计死亡率(基线率);死亡率降低被分配到筛查和治疗上。
2000年,相对于2000年每10万名女性64例死亡(模型范围为56 - 73例)的估计基线率,总体乳腺癌死亡率估计降低了37%(模型范围为27% - 42%):其中44%(模型范围为35% - 60%)的降低与筛查相关,56%(模型范围为40% - 65%)与治疗相关。2012年,相对于2012年每10万名女性63例死亡(模型范围为54 - 73例)的估计基线率,总体乳腺癌死亡率估计降低了49%(模型范围为39% - 58%):其中37%(模型范围为26% - 51%)的降低与筛查相关,63%(模型范围为49% - 74%)与治疗相关。在与治疗相关的63%中,31%(模型范围为22% - 37%)与化疗相关,27%(模型范围为18% - 36%)与激素治疗相关,4%(模型范围为1% - 6%)与曲妥珠单抗相关。筛查与治疗的估计相对贡献因分子亚型而异:对于ER+/ERBB2-,为36%(模型范围为24% - 50%)对64%(模型范围为50% - 76%);对于ER+/ERBB2+,为31%(模型范围为23% - 41%)对69%(模型范围为59% - 77%);对于ER-/ERBB2+,为40%(模型范围为34% - 47%)对60%(模型范围为53% - 66%);对于ER-/ERBB2-,为48%(模型范围为38% - 57%)对52%(模型范围为44% - 62%)。
在这项预测美国女性乳腺癌死亡率趋势的模拟建模研究中,2000年至2012年总体乳腺癌死亡率的下降与筛查和辅助治疗的进展相关,尽管这些关联因乳腺癌分子亚型而异。