• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

携带 ATM、CHEK2 和 PALB2 种致病性变异的女性乳腺癌筛查策略:比较建模分析。

Breast Cancer Screening Strategies for Women With ATM, CHEK2, and PALB2 Pathogenic Variants: A Comparative Modeling Analysis.

机构信息

Department of Radiology, University of Washington, Seattle Cancer Care Alliance, Seattle.

Department of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.

出版信息

JAMA Oncol. 2022 Apr 1;8(4):587-596. doi: 10.1001/jamaoncol.2021.6204.

DOI:10.1001/jamaoncol.2021.6204
PMID:35175286
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8855312/
Abstract

IMPORTANCE

Screening mammography and magnetic resonance imaging (MRI) are recommended for women with ATM, CHEK2, and PALB2 pathogenic variants. However, there are few data to guide screening regimens for these women.

OBJECTIVE

To estimate the benefits and harms of breast cancer screening strategies using mammography and MRI at various start ages for women with ATM, CHEK2, and PALB2 pathogenic variants.

DESIGN, SETTING, AND PARTICIPANTS: This comparative modeling analysis used 2 established breast cancer microsimulation models from the Cancer Intervention and Surveillance Modeling Network (CISNET) to evaluate different screening strategies. Age-specific breast cancer risks were estimated using aggregated data from the Cancer Risk Estimates Related to Susceptibility (CARRIERS) Consortium for 32 247 cases and 32 544 controls in 12 population-based studies. Data on screening performance for mammography and MRI were estimated from published literature. The models simulated US women with ATM, CHEK2, or PALB2 pathogenic variants born in 1985.

INTERVENTIONS

Screening strategies with combinations of annual mammography alone and with MRI starting at age 25, 30, 35, or 40 years until age 74 years.

MAIN OUTCOMES AND MEASURES

Estimated lifetime breast cancer mortality reduction, life-years gained, breast cancer deaths averted, total screening examinations, false-positive screenings, and benign biopsies per 1000 women screened. Results are reported as model mean values and ranges.

RESULTS

The mean model-estimated lifetime breast cancer risk was 20.9% (18.1%-23.7%) for women with ATM pathogenic variants, 27.6% (23.4%-31.7%) for women with CHEK2 pathogenic variants, and 39.5% (35.6%-43.3%) for women with PALB2 pathogenic variants. Across pathogenic variants, annual mammography alone from 40 to 74 years was estimated to reduce breast cancer mortality by 36.4% (34.6%-38.2%) to 38.5% (37.8%-39.2%) compared with no screening. Screening with annual MRI starting at 35 years followed by annual mammography and MRI at 40 years was estimated to reduce breast cancer mortality by 54.4% (54.2%-54.7%) to 57.6% (57.2%-58.0%), with 4661 (4635-4688) to 5001 (4979-5023) false-positive screenings and 1280 (1272-1287) to 1368 (1362-1374) benign biopsies per 1000 women. Annual MRI starting at 30 years followed by mammography and MRI at 40 years was estimated to reduce mortality by 55.4% (55.3%-55.4%) to 59.5% (58.5%-60.4%), with 5075 (5057-5093) to 5415 (5393-5437) false-positive screenings and 1439 (1429-1449) to 1528 (1517-1538) benign biopsies per 1000 women. When starting MRI at 30 years, initiating annual mammography starting at 30 vs 40 years did not meaningfully reduce mean mortality rates (0.1% [0.1%-0.2%] to 0.3% [0.2%-0.3%]) but was estimated to add 649 (602-695) to 650 (603-696) false-positive screenings and 58 (41-76) to 59 (41-76) benign biopsies per 1000 women.

CONCLUSIONS AND RELEVANCE

This analysis suggests that annual MRI screening starting at 30 to 35 years followed by annual MRI and mammography at 40 years may reduce breast cancer mortality by more than 50% for women with ATM, CHEK2, and PALB2 pathogenic variants. In the setting of MRI screening, mammography prior to 40 years may offer little additional benefit.

摘要

重要性

对于携带 ATM、CHEK2 和 PALB2 种系致病性变异的女性,推荐进行乳房 X 线筛检和磁共振成像(MRI)检查。然而,目前针对这些女性的筛查方案的数据有限。

目的

通过比较建模分析,估计不同起始年龄下使用乳房 X 线摄影和 MRI 进行乳腺癌筛查策略的获益和危害,这些策略适用于携带 ATM、CHEK2 和 PALB2 种系致病性变异的女性。

设计、设置和参与者:本项基于癌症干预和监测建模网络(CISNET)的两项已建立的乳腺癌微模拟模型的比较建模分析,用于评估不同的筛查策略。使用癌症风险估计与易感性相关(CARRIERS)联盟的 12 项基于人群的研究中 32247 例病例和 32544 例对照的汇总数据,估计了特定年龄的乳腺癌风险。通过发表的文献估计了乳房 X 线摄影和 MRI 的筛查性能数据。该模型模拟了 1985 年出生的携带 ATM、CHEK2 或 PALB2 种系致病性变异的美国女性。

干预措施

在每年进行乳房 X 线筛检的基础上,结合 MRI 筛查,起始年龄为 25 岁、30 岁、35 岁或 40 岁,直至 74 岁。

主要结局和测量指标

每 1000 名筛查女性估计的终生乳腺癌死亡率降低、获得的生命年数、乳腺癌死亡人数减少、总筛查检查次数、假阳性筛查和良性活检数量。结果以模型平均值及其范围表示。

结果

携带 ATM 种系致病性变异的女性终生乳腺癌风险的模型估计平均值为 20.9%(18.1%-23.7%),携带 CHEK2 种系致病性变异的女性为 27.6%(23.4%-31.7%),携带 PALB2 种系致病性变异的女性为 39.5%(35.6%-43.3%)。在所有种系致病性变异中,与不筛查相比,从 40 岁到 74 岁每年进行乳房 X 线筛检单独筛查估计可降低 36.4%(34.6%-38.2%)至 38.5%(37.8%-39.2%)的乳腺癌死亡率。从 35 岁开始每年进行 MRI 筛查,然后从 40 岁开始每年进行乳房 X 线和 MRI 筛查,估计可降低 54.4%(54.2%-54.7%)至 57.6%(57.2%-58.0%)的乳腺癌死亡率,每 1000 名筛查女性会有 4661(4635-4688)次假阳性筛查和 1280(1272-1287)例良性活检。从 30 岁开始每年进行 MRI 筛查,然后从 40 岁开始每年进行乳房 X 线和 MRI 筛查,估计可降低 55.4%(55.3%-55.4%)至 59.5%(58.5%-60.4%)的乳腺癌死亡率,每 1000 名筛查女性会有 5075(5057-5093)次假阳性筛查和 1439(1429-1449)例良性活检。对于起始 MRI 筛查的年龄,从 30 岁开始,而不是从 40 岁开始每年进行乳房 X 线筛查,对降低平均死亡率的影响不大(0.1%[0.1%-0.2%]至 0.3%[0.2%-0.3%]),但估计每 1000 名筛查女性会增加 649(602-695)次假阳性筛查和 58(41-76)例良性活检。

结论和意义

本分析表明,对于携带 ATM、CHEK2 和 PALB2 种系致病性变异的女性,从 30 岁至 35 岁开始每年进行 MRI 筛查,然后从 40 岁开始每年进行 MRI 和乳房 X 线筛查,可能会使乳腺癌死亡率降低 50%以上。在 MRI 筛查的情况下,40 岁之前进行乳房 X 线筛查可能不会带来额外的获益。

相似文献

1
Breast Cancer Screening Strategies for Women With ATM, CHEK2, and PALB2 Pathogenic Variants: A Comparative Modeling Analysis.携带 ATM、CHEK2 和 PALB2 种致病性变异的女性乳腺癌筛查策略:比较建模分析。
JAMA Oncol. 2022 Apr 1;8(4):587-596. doi: 10.1001/jamaoncol.2021.6204.
2
Breast Cancer Screening Using Mammography, Digital Breast Tomosynthesis, and Magnetic Resonance Imaging by Breast Density.基于乳腺密度的乳腺 X 线摄影、数字乳腺断层合成和磁共振成像在乳腺癌筛查中的应用。
JAMA Intern Med. 2024 Oct 1;184(10):1222-1231. doi: 10.1001/jamainternmed.2024.4224.
3
Pathogenic and likely pathogenic variants in PALB2, CHEK2, and other known breast cancer susceptibility genes among 1054 BRCA-negative Hispanics with breast cancer.1054 例乳腺癌阴性西班牙裔人群中 PALB2、CHEK2 和其他已知乳腺癌易感基因的致病性和可能致病性变异体。
Cancer. 2019 Aug 15;125(16):2829-2836. doi: 10.1002/cncr.32083. Epub 2019 Jun 17.
4
Cancer risk management among female BRCA1/2, PALB2, CHEK2, and ATM carriers.女性 BRCA1/2、PALB2、CHEK2 和 ATM 携带者的癌症风险管理。
Breast Cancer Res Treat. 2020 Jul;182(2):421-428. doi: 10.1007/s10549-020-05699-y. Epub 2020 May 22.
5
Rare, protein-truncating variants in , and , but not , are associated with increased breast cancer risks.在 、 、 中罕见的、截断蛋白的变异与乳腺癌风险增加相关,但 中则不然。
J Med Genet. 2017 Nov;54(11):732-741. doi: 10.1136/jmedgenet-2017-104588. Epub 2017 Aug 4.
6
Collaborative Modeling to Compare Different Breast Cancer Screening Strategies: A Decision Analysis for the US Preventive Services Task Force.合作建模比较不同乳腺癌筛查策略:美国预防服务工作组的决策分析。
JAMA. 2024 Jun 11;331(22):1947-1960. doi: 10.1001/jama.2023.24766.
7
Association of a Polygenic Risk Score With Breast Cancer Among Women Carriers of High- and Moderate-Risk Breast Cancer Genes.多基因风险评分与携带高风险和中风险乳腺癌基因的女性乳腺癌的相关性研究。
JAMA Netw Open. 2020 Jul 1;3(7):e208501. doi: 10.1001/jamanetworkopen.2020.8501.
8
Contralateral Breast Cancer Risk Among Carriers of Germline Pathogenic Variants in , , , , and .胚系致病性变异携带者的对侧乳腺癌风险: 、 、 、 、 。
J Clin Oncol. 2023 Mar 20;41(9):1703-1713. doi: 10.1200/JCO.22.01239. Epub 2023 Jan 9.
9
Breast cancer screening implications of risk modeling among female relatives of ATM and CHEK2 carriers.携带 ATM 和 CHEK2 突变的女性亲属的风险建模对乳腺癌筛查的影响。
Cancer. 2020 Apr 15;126(8):1651-1655. doi: 10.1002/cncr.32715. Epub 2020 Jan 22.
10
Clinical utility of hereditary cancer panel testing: Impact of PALB2, ATM, CHEK2, NBN, BRIP1, RAD51C, and RAD51D results on patient management and adherence to provider recommendations.遗传性癌症Panel 检测的临床实用性:PALB2、ATM、CHEK2、NBN、BRIP1、RAD51C 和 RAD51D 检测结果对患者管理和遵循医嘱的影响。
Cancer. 2020 Feb 1;126(3):549-558. doi: 10.1002/cncr.32572. Epub 2019 Nov 4.

引用本文的文献

1
Case-Control Study for 23 Cancer Types With Functional Analysis of : Risk Estimation and Clinical Recommendations in East Asia.东亚地区23种癌症类型的病例对照研究及功能分析:风险评估与临床建议
JCO Precis Oncol. 2025 Sep;9:e2400945. doi: 10.1200/PO-24-00945. Epub 2025 Sep 2.
2
Comparing Canada's OncoSim-Breast model with the United States' Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models.将加拿大的OncoSim-Breast模型与美国的癌症干预与监测建模网络(CISNET)乳腺癌模型进行比较。
Health Rep. 2025 Jun 18;36(6):3-14. doi: 10.25318/82-003-x202500600001-eng.
3
Association of gene variant type and location with breast cancer risk in the general population.普通人群中基因变异类型和位置与乳腺癌风险的关联
Ann Oncol. 2025 Aug;36(8):954-963. doi: 10.1016/j.annonc.2025.04.010. Epub 2025 Apr 25.
4
The TESTBREAST journey: Revisiting the importance of early detection by frequent screening of women at high risk of breast cancer.TESTBREAST之旅:通过对乳腺癌高危女性进行频繁筛查来重新审视早期检测的重要性。
Int J Cancer. 2025 Aug 15;157(4):741-751. doi: 10.1002/ijc.35444. Epub 2025 Apr 15.
5
Guidance for the Clinical Use of the Breast Cancer Polygenic Risk Scores.乳腺癌多基因风险评分的临床应用指南。
Cancers (Basel). 2025 Mar 21;17(7):1056. doi: 10.3390/cancers17071056.
6
Impact of endocrine therapy regimens for early-stage ER+/HER2-breast cancer on contralateral breast cancer risk.早期雌激素受体阳性/人表皮生长因子受体2阴性乳腺癌内分泌治疗方案对患对侧乳腺癌风险的影响。
NPJ Breast Cancer. 2025 Mar 26;11(1):30. doi: 10.1038/s41523-025-00746-7.
7
Mathematical Modeling to Address Questions in Breast Cancer Screening: An Overview of the Breast Cancer Models of the Cancer Intervention and Surveillance Modeling Network.用于解决乳腺癌筛查问题的数学建模:癌症干预与监测建模网络的乳腺癌模型概述
J Breast Imaging. 2025 Mar 18;7(2):141-154. doi: 10.1093/jbi/wbaf003.
8
Causative Genes of Homologous Recombination Deficiency (HRD)-Related Breast Cancer and Specific Strategies at Present.同源重组缺陷(HRD)相关乳腺癌的致病基因及目前的特异性策略
Curr Oncol. 2025 Feb 6;32(2):90. doi: 10.3390/curroncol32020090.
9
CHEK2-related breast cancer: real-world challenges.与CHEK2相关的乳腺癌:现实世界中的挑战。
Fam Cancer. 2025 Feb 18;24(1):23. doi: 10.1007/s10689-025-00448-w.
10
Hereditary Breast Cancer: Comprehensive Risk Assessment and Prevention Strategies.遗传性乳腺癌:综合风险评估与预防策略
Genes (Basel). 2025 Jan 13;16(1):82. doi: 10.3390/genes16010082.

本文引用的文献

1
Evaluation of the Benefits and Harms of Lung Cancer Screening With Low-Dose Computed Tomography: Modeling Study for the US Preventive Services Task Force.肺癌低剂量计算机断层扫描筛查的获益与危害评估:美国预防服务工作组的建模研究。
JAMA. 2021 Mar 9;325(10):988-997. doi: 10.1001/jama.2021.1077.
2
Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women.乳腺癌风险基因 - 超过 113000 名女性的关联分析。
N Engl J Med. 2021 Feb 4;384(5):428-439. doi: 10.1056/NEJMoa1913948. Epub 2021 Jan 20.
3
A Population-Based Study of Genes Previously Implicated in Breast Cancer.基于人群的先前与乳腺癌相关的基因研究。
N Engl J Med. 2021 Feb 4;384(5):440-451. doi: 10.1056/NEJMoa2005936. Epub 2021 Jan 20.
4
Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology.遗传/家族性高风险评估:乳腺癌、卵巢癌和胰腺癌,第 2.2021 版,NCCN 肿瘤学临床实践指南。
J Natl Compr Canc Netw. 2021 Jan 6;19(1):77-102. doi: 10.6004/jnccn.2021.0001.
5
Clinical Benefits, Harms, and Cost-Effectiveness of Breast Cancer Screening for Survivors of Childhood Cancer Treated With Chest Radiation : A Comparative Modeling Study.儿童期癌症胸部放疗后幸存者乳腺癌筛查的临床获益、危害和成本效益:比较建模研究。
Ann Intern Med. 2020 Sep 1;173(5):331-341. doi: 10.7326/M19-3481. Epub 2020 Jul 7.
6
The supplemental value of mammographic screening over breast MRI alone in BRCA2 mutation carriers.乳腺钼靶筛查联合乳腺 MRI 检查相较于单独进行乳腺 MRI 检查对 BRCA2 基因突变携带者的附加价值。
Breast Cancer Res Treat. 2020 Jun;181(3):581-588. doi: 10.1007/s10549-020-05642-1. Epub 2020 Apr 24.
7
Supplemental MRI Screening for Women with Extremely Dense Breast Tissue.致密型乳腺女性的补充性磁共振成像筛查。
N Engl J Med. 2019 Nov 28;381(22):2091-2102. doi: 10.1056/NEJMoa1903986.
8
Performance Measures of Magnetic Resonance Imaging Plus Mammography in the High Risk Ontario Breast Screening Program.磁共振成像加乳腺 X 线摄影在高风险安大略省乳腺癌筛查计划中的表现指标。
J Natl Cancer Inst. 2020 Feb 1;112(2):136-144. doi: 10.1093/jnci/djz079.
9
Association of Digital Breast Tomosynthesis vs Digital Mammography With Cancer Detection and Recall Rates by Age and Breast Density.数字乳腺断层合成摄影术与数字乳腺 X 线摄影术对年龄和乳腺密度相关的癌症检出率和召回率的比较。
JAMA Oncol. 2019 May 1;5(5):635-642. doi: 10.1001/jamaoncol.2018.7078.
10
Transition from metabolic healthy to unhealthy phenotypes and association with cardiovascular disease risk across BMI categories in 90 257 women (the Nurses' Health Study): 30 year follow-up from a prospective cohort study.从代谢健康到不健康表型的转变与 BMI 类别中 90257 名女性心血管疾病风险的关系:前瞻性队列研究 30 年随访。
Lancet Diabetes Endocrinol. 2018 Sep;6(9):714-724. doi: 10.1016/S2213-8587(18)30137-2. Epub 2018 May 31.