通过多式人工智能解码ERS-CAF免疫调节轴及其泛癌预后和治疗预测价值
Bo-Wen Zheng1,2,3, Chao Xia1, Ming Tang1,4
1Department of Spine Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
NPJ digital medicine
|January 30, 2026
概括
标准的MRI和全幻灯片图像可以非侵入性地检测与治疗抵抗相关的癌症相关纤维细胞 (CAF). 这种方法确定了ERS-CAF生物学,为心瘤和胰腺癌研究提供了新的见解.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 计算病理学计算病理学
背景情况:
- 相关的癌症相关纤维细胞 (ERS-CAF) 影响瘤的微环境,促进免疫排斥和治疗耐药性.
- 目前评估ERS-CAF生物学的方法是侵入性的,缺乏用于临床应用的常规非侵入性读数.
研究的目的:
- 调查标准的手术前MRI和H&E全片图像 (WSI) 是否可以作为ERS-CAF驱动免疫调节的非侵入性替代品.
- 开发和推广基于图像的模型,用于检测不同癌症类型的ERS-CAF生物学.
主要方法:
- 定义了代孕监督的三个批量转录基因基准分数:ERS程序活动,ERS-CAF-免疫原体-受体交叉声,以及微环境异质性.
- 开发了一个阶段性多式模式框架,在126个心脏瘤病例中整合了WSI关注,放射路径融合和域对齐.
- 在TCGA泛癌数据上进行了零射击概括分析,并创建了一个仅使用MRI的蒸模型.
主要成果:
- 多式联络框架与分子配置文件有很强的一致性,并且在心脏瘤中具有独立的预后价值.
- 基于图像的替代物定位到纤维化,免疫排除区域,证实了生物特异性.
- 仅MRI模型保留了显著的预测性能,同时提高了计算效率.
结论:
- 标准的MRI和WSI可以提供ERS-CAF生物学及其对瘤微环境的影响的非侵入性读数.
- 开发的基于图像的模型显示了跨癌症的概括性的承诺,支持可扩展的临床应用.
- 这种方法为非侵入性评估瘤免疫调节和抵抗机制提供了一条途径.
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