癌症
癌症研究
癌细胞
生物
细胞生物学
计算生物学
遗传学
作者
Lena Cords,Natalie de Souza,Bernd Bodenmiller
出处
期刊:Cancer Cell
[Elsevier]
日期:2024-09-01
卷期号:42 (9): 1480-1485
被引量:1
标识
DOI:10.1016/j.ccell.2024.08.011
摘要
Cancer-associated fibroblasts (CAFs) are heterogeneous and ubiquitous stromal cells within the tumor microenvironment (TME). Numerous CAF types have been described, typically using single-cell technologies such as single-cell RNA sequencing. There is no general classification system for CAFs, hampering their study and therapeutic targeting. We propose a simple CAF classification system based on single-cell phenotypes and spatial locations of CAFs in multiple cancer types, assess how our scheme fits within current knowledge, and invite the CAF research community to further refine it.
科研通智能强力驱动
Strongly Powered by AbleSci AI