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Updated: Feb 13, 2026

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黑人女性乳腺癌风险分层:当前状态和潜在的解决方案,以提高准确性
Sonya Reid1,2, Lucy Spalluto1,3,4, Tuya Pal1,2
11Vanderbilt-Ingram Cancer Center, Nashville, TN.
Journal of the National Comprehensive Cancer Network : JNCCN
|February 11, 2026
概括
目前的乳腺癌风险模型可能低估了黑人女性的风险. 开发包容性模型和基因组研究对于准确的风险分层和改善所有人口的健康结果至关重要.
科学领域:
- 在瘤学瘤学.
- 遗传学 是一个遗传学.
- 公共卫生 公共卫生
背景情况:
- 乳腺癌风险分层模型有助于早期查和改善结果.
- 年轻人,特别是黑人女性乳腺癌发病率上升,需要更新风险评估指南.
- 现有的模型,如盖尔,BCSC,BOADICEA和Tyrer-Cuzick可能无法准确评估黑人女性的风险,因为数据有限.
研究的目的:
- 突出现有的乳腺癌风险预测模型在非欧洲血统人口,特别是黑人妇女的局限性.
- 强调在开发和验证风险模型时需要包容性数据.
- 强调多基因风险评分和全基因组关联研究 (GWAS) 在完善乳腺癌风险评估中的重要性.
主要方法:
- 审查现有的乳腺癌风险预测模型及其基础数据.
- 对不同祖先的模型性能现有证据的分析.
- 讨论单基因和多基因风险因素 (包括GWAS) 在乳腺癌风险中的作用.
主要成果:
- 目前的乳腺癌风险模型,主要是使用白人女性的数据开发的,倾向于低估黑人女性的风险.
- 全基因组关联研究 (GWAS) 的数据也主要包括欧洲祖先种群,限制了其他群体的多基因风险评分的准确性.
- 在基因组学研究和模型开发中,急需多样化的人口代表性.
结论:
- 准确的乳腺癌风险分层需要使用多样化的人口数据开发的模型.
- 确保基因组学研究和实施战略中的代表性对于公平的临床护理至关重要.
- 持续开发和对新模型和现有模型的严格评估是必要的,以便在所有人群中适用.
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