Salivary Adenoid Cystic Carcinomas 的基因组和转录组分析定义了分子亚型
1Department of Oral Pathology, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Haidian District, Beijing, Mainland China.
Journal of dental research
|March 9, 2026
概括
新的分子标记物6q-loss和14q-loss显著提高了腺囊性癌 (ACC) 的预后准确性. 这种基于拷贝数变化的分类增强了患者分层,特别是对于cribriform亚型,有助于临床评估.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 分子病理学分子病理学
背景情况:
- 腺状囊性癌 (ACC) 呈现出复杂的病理形态,挑战统一的临床分级.
- 现有的病理学评估方法在准确预测患者预后方面存在局限性.
研究的目的:
- 开发新的分子生物标志物,以改善ACC的预后评估.
- 建立一个分子分类系统,以加强临床病理学评估.
主要方法:
- 从100名ACC患者的瘤和正常组织的激光捕捉微解剖.
- 通过DNA和RNA测序 (分别为955和723个样本) 进行基因组和转录组分析.
- 对拷贝数变异 (CNV),基因融合和转录表达模式的分析.
主要成果:
- 在ACC病理亚型中,CNV和基因融合模式各不相同,并且与结果相关.
- 6q损失和14q损失被确定为预后不佳的强有力的指标,与转移和复发风险增加有关.
- 一种基于CNV的新型分子分类提高了预后准确度,从74.49%提高到82.65%,特别是在cribriform ACC (64%至80%).
结论:
- 6q损失和14q损失是强大的,独立的分子标志物,用于ACC的不良预后.
- 拟议的基于CNV的分类提供了一个比传统的病理学方法更准确的预后工具.
- 光 in situ 杂交提供了一种临床上可行的方法来检测这些关键分子标记物.
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