在前性队列研究中,乳腺癌风险的Buffy外套签名
Felicia Fei-Lei Chung1,2, Sandra González Maldonado3, Amelie Nemc4
1International Agency for Research On Cancer (IARC), 25 avenue Tony Garnier, CS 90627, 69366, Lyon, France. feliciacfl@sunway.edu.my.
Clinical epigenetics
|June 12, 2023
概括
血液DNA中的表观遗传变化可以在诊断前几年预测乳腺癌. 这项研究确定了癌症特异性的DNA甲基化模式,为早期检测和个性化预防策略铺平了道路.
科学领域:
- 在瘤学瘤学.
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 基因组学就是基因组学.
背景情况:
- 表观遗传变化在癌症中很常见,并且可以在血液等可访问的样本中检测到.
- 以前的研究通常依赖于回顾性数据,可能受到疾病发病的影响.
- 预期收集的样本对于了解早期表观遗传变化至关重要.
研究的目的:
- 在从患有乳腺癌的个体前性收集的血液样本中研究基因组规模的DNA甲基化概况.
- 识别与乳腺癌发展相关的早期表观遗传标记物.
- 开发一种基于DNA甲基化的分类器,用于早期发现乳腺癌.
主要方法:
- 基因组规模的DNA甲基化简介使用减少表示双硫酸序列 (RRBS).
- 从EPIC-海德堡队列中进行的嵌套病例对照研究中,从前性收集的布菲外套样本 (n=702) 的分析.
- 机器学习的应用用于分类器的开发和验证.
主要成果:
- 在布菲外套样本中确定了癌症特异性的DNA甲基化事件.
- 在SURF6和REXO1/CTB31O20.3区域观察到DNA甲基化增加,与诊断时间相关.
- 开发了一种DNA甲基化分类器,在预测病例和对照状态方面具有76.5%的准确性,在诊断前长达15年.
结论:
- 表明了癌症相关的DNA甲基化在周围血液中逐渐积累的模型.
- 这些表观遗传变化可以在临床癌症表现之前很久被检测出来.
- 开发用于癌症风险分层和个性化预防的有用标志物的潜力.
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