Department of Medicine, Stanford University School of Medicine, Stanford, California.
Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California.
JAMA. 2024 Jan 16;331(3):233-241. doi: 10.1001/jama.2023.25881.
Breast cancer mortality in the US declined between 1975 and 2019. The association of changes in metastatic breast cancer treatment with improved breast cancer mortality is unclear.
To simulate the relative associations of breast cancer screening, treatment of stage I to III breast cancer, and treatment of metastatic breast cancer with improved breast cancer mortality.
DESIGN, SETTING, AND PARTICIPANTS: Using aggregated observational and clinical trial data on the dissemination and effects of screening and treatment, 4 Cancer Intervention and Surveillance Modeling Network (CISNET) models simulated US breast cancer mortality rates. Death due to breast cancer, overall and by estrogen receptor and ERBB2 (formerly HER2) status, among women aged 30 to 79 years in the US from 1975 to 2019 was simulated.
Screening mammography, treatment of stage I to III breast cancer, and treatment of metastatic breast cancer.
Model-estimated age-adjusted breast cancer mortality rate associated with screening, stage I to III treatment, and metastatic treatment relative to the absence of these exposures was assessed, as was model-estimated median survival after breast cancer metastatic recurrence.
The breast cancer mortality rate in the US (age adjusted) was 48/100 000 women in 1975 and 27/100 000 women in 2019. In 2019, the combination of screening, stage I to III treatment, and metastatic treatment was associated with a 58% reduction (model range, 55%-61%) in breast cancer mortality. Of this reduction, 29% (model range, 19%-33%) was associated with treatment of metastatic breast cancer, 47% (model range, 35%-60%) with treatment of stage I to III breast cancer, and 25% (model range, 21%-33%) with mammography screening. Based on simulations, the greatest change in survival after metastatic recurrence occurred between 2000 and 2019, from 1.9 years (model range, 1.0-2.7 years) to 3.2 years (model range, 2.0-4.9 years). Median survival for estrogen receptor (ER)-positive/ERBB2-positive breast cancer improved by 2.5 years (model range, 2.0-3.4 years), whereas median survival for ER-/ERBB2- breast cancer improved by 0.5 years (model range, 0.3-0.8 years).
According to 4 simulation models, breast cancer screening and treatment in 2019 were associated with a 58% reduction in US breast cancer mortality compared with interventions in 1975. Simulations suggested that treatment for stage I to III breast cancer was associated with approximately 47% of the mortality reduction, whereas treatment for metastatic breast cancer was associated with 29% of the reduction and screening with 25% of the reduction.
1975 年至 2019 年期间,美国的乳腺癌死亡率下降。转移性乳腺癌治疗变化与乳腺癌死亡率改善之间的关联尚不清楚。
模拟乳腺癌筛查、I 期至 III 期乳腺癌治疗和转移性乳腺癌治疗对改善乳腺癌死亡率的相对影响。
设计、地点和参与者:使用关于筛查和治疗传播和效果的聚合观察性和临床试验数据,4 个癌症干预和监测建模网络(CISNET)模型模拟了美国乳腺癌死亡率。模拟了 1975 年至 2019 年间美国 30 至 79 岁女性中死于乳腺癌的情况,包括乳腺癌的总体死亡率以及雌激素受体(ER)和 ERBB2(以前称为 HER2)状态的死亡率。
乳房 X 线筛查、I 期至 III 期乳腺癌治疗和转移性乳腺癌治疗。
评估了与这些暴露因素相关的筛查、I 期至 III 期治疗和转移性治疗对美国年龄调整后乳腺癌死亡率的影响,以及乳腺癌转移性复发后模型估计的中位生存情况。
1975 年,美国(年龄调整)乳腺癌死亡率为每 10 万名妇女中有 48 人,2019 年为每 10 万名妇女中有 27 人。2019 年,筛查、I 期至 III 期治疗和转移性治疗的组合与乳腺癌死亡率降低 58%(模型范围,55%-61%)相关。其中,29%(模型范围,19%-33%)归因于转移性乳腺癌的治疗,47%(模型范围,35%-60%)归因于 I 期至 III 期乳腺癌的治疗,25%(模型范围,21%-33%)归因于乳房 X 线筛查。基于模拟,转移性复发后生存的最大变化发生在 2000 年至 2019 年之间,从 1.9 年(模型范围,1.0-2.7 年)增加到 3.2 年(模型范围,2.0-4.9 年)。ER 阳性/ERBB2 阳性乳腺癌的中位生存时间延长了 2.5 年(模型范围,2.0-3.4 年),而 ER-/ERBB2-乳腺癌的中位生存时间延长了 0.5 年(模型范围,0.3-0.8 年)。
根据 4 个模拟模型,与 1975 年的干预措施相比,2019 年美国的乳腺癌筛查和治疗与乳腺癌死亡率降低 58%相关。模拟结果表明,I 期至 III 期乳腺癌的治疗与大约 47%的死亡率降低相关,转移性乳腺癌的治疗与 29%的死亡率降低相关,而筛查与 25%的死亡率降低相关。