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Updated: Jul 15, 2025
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Measurement of Lifespan in Drosophila melanogaster
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衰老措施和癌症:来自健康和退休研究的发现
medRxiv : the preprint server for health sciences
|October 4, 2023
概括
癌症幸存者表现出加速的生物衰老,增加他们的死亡风险. 表观遗传钟,特别是GrimAge,是癌症幸存者死亡率的强有力的预测指标,突出了治疗后明显的衰老模式.
科学领域:
- 老年学和老年医学是老年学和老年医学.
- 癌症生存率研究 癌症生存率研究
- 衰老的生物标志物
背景情况:
- 与没有癌症的个人相比,癌症幸存者经常经历加速的生理功能障碍,称为生物年龄 (BA).
- 这种增加的BA可能导致癌症幸存者的发病率和死亡率更高.
- 了解各种衰老指标如何与幸存者的健康结果有关,对于个性化护理至关重要.
研究的目的:
- 调查多个生物年龄 (BA) 度量与癌症患病率之间的关联.
- 检查BA指标与癌症幸存者和对照者的全因死亡率之间的关系.
- 为了比较不同衰老结构对癌症幸存者的死亡率与无癌症个体的预测能力.
主要方法:
- 利用了来自健康和退休研究 (HRS) 的数据,这是一个基于人口的大型队列.
- 使用八个指标估计生物年龄:克莱梅拉杜巴尔方法 (KDM-BA),表型年龄 (PhenoAge),五个表观遗传钟 (ECs) 和主观年龄 (SA).
- 使用加权后勤和Cox比例危险回归来分析与癌症患病率和全因死亡率的关联,计算年龄加速.
主要成果:
- 与对照组相比,癌症幸存者在大多数衰老指标中表现出更高的年龄加速.
- 五个衰老结构 (汉努姆,霍瓦斯,莱文,格林年龄和SA的年龄加速) 与癌症患病率有关.
- 对于PhenoAge和四个EC (Hannum,Horvath,Levine,GrimAge) 的年龄加速预测了癌症幸存者的所有原因死亡率较高;GrimAge加速显示了最高的危险比率 (2.03).
- 芬诺年龄,汉纳姆和格林年龄也预测了对照组的死亡率,而KDM-BA和老化步伐 (POA) 预测了对照组的死亡率,但不是幸存者.
- 当所有指标一起建模时,Levine和GrimAge仍然是幸存者的死亡率的重要预测指标.
- 没有任何衰老结构与癌症发病率有关.
结论:
- 衰老结构捕捉了衰老的不同方面,癌症幸存者表现出与年龄有关的独特生理功能障碍.
- 特定的表观遗传时钟,特别是GrimAge,是癌症幸存者死亡率的重要预测因素.
- 需要进一步的研究来探索这些衰老指标对特定癌症类型和死亡率的预测价值.
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