结直肠癌
肿瘤微环境
衰老
共域化
癌症研究
间质细胞
癌相关成纤维细胞
表型
转录组
癌症
化疗
类有机物
医学
免疫组织化学
生物
基因剔除小鼠
多路复用
基质
癌细胞
炎症
肿瘤进展
基因敲除
下调和上调
肿瘤发生
病理
作者
S S Yang,Yuehua Chen,S R Liu,Anning Zuo,Yuhao Ba,Yuyuan Zhang,Benyu Liu,Chuhan Zhang,Hui Xu,Peng Luo,Quan Cheng,Siyuan Weng,Long Liu,Xing Zhou,Teng Pan,Ruijie Ming,Jingyuan Ning,Xin Hu,Xinwei Han,Fubing Wang
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2026-07-08
卷期号:: OF1-OF20
标识
DOI:10.1158/0008-5472.can-25-4870
摘要
Cancer-associated fibroblasts (CAFs) play a crucial role in the tumor microenvironment (TME) by influencing tumor progression, metastasis, and therapy resistance. Accumulating evidence suggests that CAFs undergo senescence, which can impact their effects on the TME. Here, we developed a machine learning-based prediction model, the Cellular Senescence Prediction Model (CSPM), to accurately identify senescent CAFs (sCAFs) based on single-cell RNA sequencing data. In colorectal cancer (CRC), the abundance of sCAFs strongly correlated with impaired chemotherapy responsiveness and poor prognosis. In preclinical models, including subcutaneous tumors, patient-derived organoids (PDOs), patient-derived organoid xenografts (PDOXs), and orthotopic tumors, sCAFs mediated chemoresistance through the senescence-associated secretory phenotype (SASP), with IL6 and CXCL12 being key contributors. Macrophage-derived IL1B triggered CAF senescence through the IL1B-IL1R1 interaction, promoting the accumulation of sCAFs in tumors. Spatial transcriptomics and multiplex immunohistochemistry revealed colocalization of IL1B+ macrophages and IL1R1+ sCAFs in the tumor stroma. Functional studies using fibroblast-specific Il1r1 knockout mice further confirmed that macrophage-derived IL1B induces CAF senescence via IL1R1, leading to SASP-driven chemotherapy resistance. These findings highlight the critical role of sCAFs in CRC chemoresistance and suggest that targeting the IL1B-IL1R1 axis may offer a promising strategy to enhance chemotherapy efficacy in CRC.
科研通智能强力驱动
Strongly Powered by AbleSci AI