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形式遵循功能:胰腺癌进展的新范式
bioRxiv : the preprint server for biology
|August 20, 2025
概括
胰腺癌通过采用特定的几何形状来侵入附近的组织. 对H&E图像的AI分析显示,这些瘤结构与具有侵略性的分子特征和患者结果相关.
科学领域:
- 在瘤学瘤学.
- 计算病理学计算病理学
- 癌症生物学 癌症生物学
背景情况:
- 胰腺管腺癌 (PDAC) 以其侵略性的局部入侵和血管透而闻名,但潜在的机制仍然不清楚.
- 了解分子变化和PDAC的物理行为之间的联系对于改善患者的治疗结果至关重要.
研究的目的:
- 研究PDAC瘤结构的空间和几何特性及其与侵入性和分子亚型的相关性.
- 开发和验证人工智能辅助的计算工具,用于分析瘤形态和预测临床行为.
主要方法:
- 从H&E图像开发一个大规模的,人工智能辅助的PDAC地图,注释超过144,000个结构.
- 创建了SHAPE计算工具,用于几何化癌症进展和分析形态.
- 将形态数据与整个基因组,RNA测序和PDAC患者的空间转录组数据集成.
主要成果:
- 侵入PDAC结构表现出古怪的形态和局部角连贯性,紧密跟踪血管和神经.
- 奇特的结构与增加的副本数变化,染色体17p上的异构性丧失以及准介质/基底类分子亚型相关.
- 在异常结构中通过空间转录学证实了像EMT,血管生成和凝血通路这样的侵入性程序的升级.
结论:
- PDAC表现出独特的瘤结构,其特点是特定的几何和空间特性,与其侵略性行为有关.
- 人工智能驱动的形态分析提供了一个强大的,可解释的方法来评估PDAC的攻击性,预测治疗反应,并指导临床管理.
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