在炎症和癌症中,STARComm可扩展地检测空间细胞-细胞通信的新兴模块
bioRxiv : the preprint server for biology
|August 20, 2025
概括
STARComm通过计算绘制了组织中的细胞通信图,识别了与癌症和疾病结果相关的模块. 这种空间医学方法有助于生物标志物发现和治疗向,以获得更好的患者预后.
科学领域:
- 空间生物学 空间生物学
- 计算病理学计算病理学
- 系统免疫学 系统免疫学
背景情况:
- 细胞与细胞之间的通信对于组织功能至关重要,但在空间上绘制地图具有挑战性.
- 现有的方法很难将细胞间通信网络与临床结果联系起来.
研究的目的:
- 介绍STARComm,一种可扩展的计算方法,用于识别多细胞通信交互模块 (MCIM).
- 应用STARComm来分析各种人类癌症和疾病的空间转录学数据.
- 建立一个框架,将空间通信与临床结果和治疗目标联系起来.
主要方法:
- 开发了STARComm以从高复合空间转录组学中检测空间共定位的受体-连接体活性.
- 将STARComm应用到一个由8种癌症类型的1400多万个细胞组成的大图书馆.
- 在慢性移植与宿主疾病 (GVHD) 患者的小唾液腺活检中使用STARComm.
主要成果:
- 在癌症中确定了24种保存和瘤特异性MCIM,包括与免疫疗法耐药性相关的纤维免疫模块.
- 在慢性GVHD中发现了三种唾液腺MCIM,可预测患者的存活率.
- 在GVHD中与现有的FDA批准的治疗方法中突出显示的可药性轴 (CXCL12-CXCR4,CCL5-SDC4).
结论:
- 在人类疾病中,STARComm提供了第一个结果相关的空间通信框架.
- 周围组织的空间分析,就像小唾液腺一样,可以提前几年预测患者的结果.
- STARComm 能够实现可扩展的生物标志物发现,药物向,并为临床翻译推进空间医学.
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