免疫系统
膀胱癌
趋化因子
C-C趋化因子受体7型
癌症研究
医学
细胞毒性T细胞
免疫学
病理
生物
趋化因子受体
内科学
癌症
生物化学
体外
作者
Zhao Jiang,Xing Luo,Chengfei Yang,Xiao Yang,Min Deng,Bishao Sun,Jingzhen Zhu,Zongming Dong,Yangcai Wang,Jia Li,Xingliang Yang,Benyi Li,Xiangwei Wang,Ji Zheng
标识
DOI:10.1186/s12979-024-00432-5
摘要
Abstract Background Research has suggested significant correlations among ageing, immune microenvironment, inflammation and tumours. However, the relationships among ageing, immune microenvironment, cystitis and bladder urothelial carcinoma (BLCA) in the bladder have rarely been reported. Methods Bladder single-cell and transcriptomic data from young and old mice were used for immune landscape analysis. Transcriptome, single-cell and The Cancer Genome Atlas Program datasets of BLCA and interstitial cystitis/bladder pain syndrome (IC/BPS) were used to analyse immune cell infiltration and molecular expression. Bladder tissues from mice, IC/BPS and BLCA were collected to validate the results. Results Eight types of immune cells (macrophages, B-cells, dendritic cells, T-cells, monocytes, natural killer cells, γδ T-cells and ILC2) were identified in the bladder of mice. Aged mice bladder tissues had a significantly higher number of T-cells, γδ T-cells, ILC2 and B-cells than those in the young group ( P < 0.05). Three types of T-cells (NK T-cells, γδ T-cells and naïve T-cells) and three types of B-cells (follicular B-cells, plasma and memory B-cells) were identified in aged mice bladder. Chemokine receptor 7 (CCR7) is highly expressed in aged bladder, IC/BPS and BLCA ( P < 0.05). CCR7 is likely to be involved in T- and B-cell infiltration in aged bladder, IC/BPS and BLCA. Interestingly, the high CCR7 expression on BLCA cell membranes was a prognostic protective factor. Conclusions In this study, we characterised the expression profiles of immune cells in bladder tissues of aged and young mice and demonstrated that CCR7-mediated T- and B-cell filtration contributes to the development of bladder ageing, IC/BPS and BLCA.
科研通智能强力驱动
Strongly Powered by AbleSci AI