癌症研究
肿瘤微环境
生物
T细胞
细胞
免疫系统
肿瘤进展
细胞毒性T细胞
免疫疗法
T细胞受体
化学
分子生物学
细胞生物学
免疫学
癌症
体外
生物化学
遗传学
作者
Xiaolin Wang,Hui Wang,Zhengjing Lu,Xiangjun Liu,Wenjia Chai,Wei Wang,Jun Feng,Yang Shen,Wei Yang,Haiyan Cheng,Chenghao Chen,Shihan Zhang,Nian Sun,Qiaoyin Liu,Qiliang Li,Wenqi Song,Fang Jin,Qi Zeng,Shengcai Wang,Yan Su
标识
DOI:10.1158/0008-5472.c.7627203
摘要
<div>Abstract<p>The dynamic interplay between tumor cells and γδT cells within the tumor microenvironment significantly influences disease progression and immunotherapy outcome. In this study, we delved into the modulation of γδT-cell activation by tumor cell ligands CD112 and CD155, which interact with the activating receptor DNAM-1 on γδT cells. Spatial and single-cell RNA sequencing, as well as spatial metabolomic analysis, from neuroblastoma revealed that the expression levels and localization of CD112 and CD155 varied across and within tumors, correlating with differentiation status, metabolic pathways, and ultimately disease prognosis and patient survival. Both <i>in vivo</i> tumor xenograft experiments and <i>in vitro</i> coculture experiments demonstrated that a high CD112/CD155 expression ratio in tumors enhanced γδT cell–mediated cytotoxicity, whereas a low ratio fostered tumor resistance. Mechanistically, CD112 sustained DNAM-1–mediated γδT-cell activation, whereas CD155 downregulated DNAM-1 expression via E3 ubiquitin ligase tripartite motif–containing 21–mediated ubiquitin proteasomal degradation. By interacting with tumor cells differentially expressing CD112 and CD155, intratumoral γδT cells exhibited varying degrees of activation and DNAM-1 expression, representing three major functional subsets. This study underscores the complexity of tumor–immune cross-talk, offering insights into how tumor heterogeneity shapes the immune landscape.</p><p><b>Significance:</b> Tumor cells in different intratumoral neighborhoods display divergent patterns of ligands that regulate γδT-cell activation, highlighting multilevel regulation of antitumor immunity resulting from the heterogeneity of intercellular interactions in the tumor microenvironment.</p></div>
科研通智能强力驱动
Strongly Powered by AbleSci AI