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在健康和退休研究 (HRS) 中的衰老措施和癌症
Shuo Wang1, Anna Prizment2, Puleng Moshele1
1Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Nature communications
|July 2, 2025
概括
癌症幸存者通常比没有癌症的个体具有更高的生物年龄 (BA). 特定的生物年龄测量,如GrimAge,强烈预测癌症幸存者的死亡风险.
科学领域:
- 老年学是指老年学的学科.
- 在瘤学瘤学.
- 生物统计学 生物统计学
背景情况:
- 与没有癌症的个人相比,癌症幸存者可能会表现出加速的生物衰老.
- 了解生物年龄与幸存者的健康状况之间的关系至关重要.
研究的目的:
- 调查各种生物年龄 (BA) 测量与癌症患病率和死亡率之间的关联.
- 确定哪些BA措施在预测癌症幸存者的死亡风险方面最有效.
主要方法:
- 利用了来自健康和退休研究 (HRS) 的数据.
- 使用多种方法估计生物年龄:克莱梅拉和杜巴尔方法 (KDM-BA),表型年龄 (PhenoAge),主观年龄 (SA) 和几个表观遗传时钟 (Horvath,Hannum,Levine,GrimAge,张得分 (ZS),基于甲基化的衰老速度 (mPOA)).
- 采用后勤和考克斯回归模型来评估与癌症患病率和死亡率的关联.
主要成果:
- 在特定的BA指标 (Hannum,GrimAge,SA,ZS) 和癌症患病率之间发现了显著的关联.
- 芬诺年龄,汉纳姆年龄,莱文年龄,格林年龄和ZS与癌症幸存者的死亡率有显著关联.
- 在没有癌症的对照组中,KDM-BA,PhenoAge和ZS与死亡率有关.
- 在癌症幸存者中,GrimAge与死亡率的关联最强 (HR每1 SD = 1.80,p < 0.001).
结论:
- 代和表观遗传钟显示出预测癌症幸存者的死亡率的潜力.
- 生物年龄,特别是像GrimAge这样的表观遗传测量,是了解癌症幸存者的长期结果的重要因素.
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