间质细胞
结直肠癌
多路复用
癌症研究
医学
内科学
肿瘤微环境
肿瘤科
生物
基质
病理
临床意义
癌症
细胞
淋巴系统
核糖核酸
长非编码RNA
共域化
作者
Magdalena Frank,Giulia Ghirardello,James Malcolm Howie,Nina Braun,Rebecca Zirnbauer,Carmen Stecher,Stephan Gruener,Heinz Regele,Iros Barozzi,Michael Bergmann,Johannes Laengle,Dietmar Herndler‐Brandstetter
出处
期刊:Cancer Letters
[Elsevier BV]
日期:2025-12-19
卷期号:639: 218228-218228
标识
DOI:10.1016/j.canlet.2025.218228
摘要
Tumor-associated stromal (TAS) cells within the tumor microenvironment (TME) exhibit marked transcriptional heterogeneity. However, the spatial organization of TAS subpopulations and their clinical relevance in human colorectal cancer (CRC) are incompletely understood. Using single-cell RNA sequencing (scRNA-seq) and multiplex imaging, we identified multiple TAS subpopulations with distinct intratumoral and peritumoral abundance, and found that CRC patients enriched in FAP + TAS cells and CD73 + tumor cells had the lowest disease-free survival (DFS). NGFR + stromal cells localized predominantly within tertiary lymphoid structures (TLS), which could be further classified into NGFR + organized TLS, NGFR + unorganized TLS and NGFR - TLS based on the spatial distribution of NGFR + stromal cells. CRC patients enriched for NGFR + organized TLS exhibited improved DFS. SCENIC analysis revealed HAND2 , IKZF2 and SOX10 as transcriptional regulators of human NGFR + antigen-presenting TAS cells, and they frequently expressed enteric glial cell markers SOX10, PLP1, CDH19 and NCAM1. In summary, our study demonstrates that the frequency and spatial distribution of TAS subpopulations, particularly NGFR + TAS organization within TLS, varies between CRC patients and correlates with DFS and distinct changes in the TME. • CD73 + tumor and FAP + stromal abundance predicts CRC patient survival • Spatial organization of NGFR + stromal cells in TLS correlates with patient survival • HAND2, IKZF2 and SOX10 are predicted regulators of NGFR + apTAS cells • CD206 + macrophage infiltration in TLS is associated with NGFR + unorganized TLS
科研通智能强力驱动
Strongly Powered by AbleSci AI