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Assessment of breast cancer risk: which tools to use?

作者信息

Garcia-Closas Montserrat, Chatterjee Nilanjan

机构信息

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Shady Grove Campus, Rockville, MD 20850.

Bloomberg School of Public Health and Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Lancet Oncol. 2019 Apr;20(4):463-464. doi: 10.1016/S1470-2045(19)30071-3. Epub 2019 Feb 21.

DOI:10.1016/S1470-2045(19)30071-3
PMID:30799258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8211385/
Abstract
摘要

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本文引用的文献

1
Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification.比较乳腺癌风险预测模型的验证及对未来风险分层的预测。
J Natl Cancer Inst. 2020 Mar 1;112(3):278-285. doi: 10.1093/jnci/djz113.
2
10-year performance of four models of breast cancer risk: a validation study.四种乳腺癌风险模型的 10 年表现：一项验证研究。
Lancet Oncol. 2019 Apr;20(4):504-517. doi: 10.1016/S1470-2045(18)30902-1. Epub 2019 Feb 21.
3
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.BOADICEA：一种综合乳腺癌风险预测模型，纳入了遗传和非遗传风险因素。
Genet Med. 2019 Aug;21(8):1708-1718. doi: 10.1038/s41436-018-0406-9. Epub 2019 Jan 15.
4
Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.多基因风险评分在乳腺癌及乳腺癌亚型预测中的应用。
Am J Hum Genet. 2019 Jan 3;104(1):21-34. doi: 10.1016/j.ajhg.2018.11.002. Epub 2018 Dec 13.
5
Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts.在两个大型前瞻性队列中预测雌激素受体特异性乳腺癌的风险。
Breast Cancer Res. 2018 Dec 3;20(1):147. doi: 10.1186/s13058-018-1073-0.
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Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density.经典风险因素与乳腺密度相结合的乳腺癌风险评估的长期准确性。
JAMA Oncol. 2018 Sep 1;4(9):e180174. doi: 10.1001/jamaoncol.2018.0174. Epub 2018 Sep 13.
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Impact of a Panel of 88 Single Nucleotide Polymorphisms on the Risk of Breast Cancer in High-Risk Women: Results From Two Randomized Tamoxifen Prevention Trials.88个单核苷酸多态性对高危女性患乳腺癌风险的影响：两项他莫昔芬预防随机试验的结果
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Comparison of approaches for incorporating new information into existing risk prediction models.将新信息纳入现有风险预测模型的方法比较。
Stat Med. 2017 Mar 30;36(7):1134-1156. doi: 10.1002/sim.7190. Epub 2016 Dec 11.
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Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States.美国白人女性中可改变和不可改变的风险因素与乳腺癌风险。
JAMA Oncol. 2016 Oct 1;2(10):1295-1302. doi: 10.1001/jamaoncol.2016.1025.