在无细胞DNA中体变异的癌症样片段性特征
Zhenyu Zhang1, Yunyun An1, Mengqi Yang1,2
1Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 23, 2026
概括
无细胞DNA (cfDNA) 断片组学甚至在健康个体中也显示出癌症信号,可能来自克隆性血液形成. 整合基因组和碎片组数据可以通过液体活检显著改善AI驱动的癌症检测.
科学领域:
- 分子生物学分子生物学
- 基因组学就是基因组学.
- 癌症研究 癌症研究
背景情况:
- 血中的无细胞DNA (cfDNA) 呈现出与细胞起源相关的独特碎片体特征.
- 在cfDNA中的体质变异保留了与癌症相关的信号,将癌症患者与对照患者区分开来.
研究的目的:
- 为了研究含有体质变异的cfDNA的碎片特征.
- 利用cfDNA特征开发人工智能驱动的癌症检测诊断模型.
主要方法:
- 分析cfDNA碎片组学,包括大小,DNA甲基化和核细胞结构.
- 开发和验证人工智能模型 (FreeSV和FreeSV+),集成基因组,断片组和表观基因组数据.
- 利用大量的胰腺癌队列进行模型培训和评估.
主要成果:
- 具有体变异的cfDNA即使在对照组中也显示出类似癌症的片段性特征,与克隆性血液形成有关.
- 这些断片异常在癌症患者中被放大,有助于诊断.
- 结合全基因组特征的FreeSV+模型在癌症类型中实现了高AUC (0.93-0.99).
结论:
- 对于癌症检测来说,cfDNA中的体质变异相关的断片异常至关重要.
- 对基因组和碎片组cfDNA数据的综合分析提高了基于AI的癌症液体活检准确性.
- 像FreeSV+这样的AI模型显示出非侵入性癌症诊断的巨大潜力.
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