Molecular map of cGAS-STING pathway-related genes in bladder cancer: the perspective toward immune microenvironment and prognosis

被引:0
|
作者
Wei, Dong [1 ]
Liu, Ying [2 ]
Yuan, Ying [2 ]
Li, Yishuai [3 ]
Zhao, Fangchao [4 ]
Qin, Xuebo [3 ,5 ]
机构
[1] Hebei Gen Hosp, Dept Urol, Shijiazhuang 050000, Peoples R China
[2] Xingtai Third Hosp, Dept Neurol, Xingtai 054000, Peoples R China
[3] Hebei Chest Hosp, Dept Thorac Surg, Shijiazhuang 050000, Peoples R China
[4] Hebei Med Univ, Dept Thorac Surg, Hosp 2, Shijiazhuang 050000, Peoples R China
[5] Hebei Med Univ, Dept Thorac Surg, Hosp 4, Shijiazhuang 050000, Peoples R China
来源
AGING-US | 2024年 / 16卷 / 02期
关键词
cGAS-STING pathway; bladder cancer; tumor immune; immune microenvironment; immune checkpoint inhibitors; IDENTIFICATION; BETA; DNA;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Background: The cGAS-STING pathway emerges as a pivotal innate immune pathway with the potential to profoundly influence all facets of tumor initiation and progression. The prognostic significance and immunological role of cGAS-STING pathway-related genes (CRGs) in individuals diagnosed with bladder cancer (BLCA) have not yet been fully elucidated. Methods: Performed unsupervised cluster analysis to identify distinct clusters. Utilizing LASSO and multivariate Cox regression analysis to construct a prognostic risk model. The IMvigor210, GSE13507 and GSE78220 cohorts were utilized to explore the potential value of risk score in immune therapy response and survival prediction. Results: A risk model was developed utilizing four CRGs in order to forecast the overall survival (OS) of BLCA patients. The risk score to be a standalone risk factor, which was further corroborated by the external validation set obtained from the GEO database (GSE13507). We established an integrated nomogram that combined risk scoring and clinical information, exhibiting commendable clinical practicality in predicting the overall survival period of BLCA patients. It is noteworthy that risk score could differentiate tumor microenvironments among different risk groups and individuals who were more responsive to immunotherapy in IMvigor210 and GSE13507 cohorts. In vitro experiments, we noted an up-regulation of IRF3 and IKBKB upon the activation of the cGAS-STING pathway. Conversely, the activation of the cGAS-STING pathway resulted in a down-regulation of POLR3G and CTNNB1. Conclusions: CRG risk model shows promise as a potential stratification approach for bladder cancer patients.
引用
收藏
页码:1516 / 1535
页数:20
相关论文
共 49 条
  • [41] Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database
    Guo, Liqiang
    Wu, Qiong
    Ma, Zhen
    Yuan, Mingzhen
    Zhao, Shengtian
    AGING-US, 2021, 13 (15): : 19352 - 19374
  • [42] An EMT-based risk score thoroughly predicts the clinical prognosis, tumor immune microenvironment and molecular subtypes of bladder cancer
    Xiao, Zicheng
    Cai, Zhiyong
    Deng, Dingshan
    Tong, Shiyu
    Zu, Xiongbing
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [43] Identification and Development of Inflammatory Response-Related Genes Signature Associated With Prognosis Evaluation and Immune Status of Bladder Cancer
    Zheng, Haoxiang
    Luo, Weihan
    Li, Yuqing
    Peng, Guoyu
    Zhou, Dewang
    Tang, Dongdong
    Cheng, Jiwen
    Wu, Song
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2022, 10
  • [44] Prediction of immune infiltration and prognosis for patients with urothelial bladder cancer based on the DNA damage repair-related genes signature
    Li, Tianhang
    Jiang, Ning
    Bai, Yuhao
    Liu, Tianyao
    Zhao, Zihan
    Xu, Xinyan
    Zhang, Yulin
    Wei, Fayun
    Sun, Rui
    Liu, Siyang
    Li, Jiazheng
    Guo, Hongqian
    Yang, Rong
    HELIYON, 2023, 9 (03)
  • [45] Liquid-liquid phase separation-related genes associated with prognosis, tumor microenvironment characteristics, and tumor cell features in bladder cancer
    Wu, Xiao-Hui
    Huang, Xu-Yun
    You, Qi
    Zhu, Jun-Ming
    Qiu, Qian-Ren-Shun
    Lin, Yun-Zhi
    Xu, Ning
    Wei, Yong
    Xue, Xue-Yi
    Chen, Ye-Hui
    Chen, Shao-Hao
    Zheng, Qing-Shui
    CLINICAL & TRANSLATIONAL ONCOLOGY, 2024, : 1798 - 1815
  • [46] Precision molecular insights for prostate cancer prognosis: tumor immune microenvironment and cell death analysis of senescence-related genes by machine learning and single-cell analysis
    Wu, Yuni
    Xu, Ran
    Wang, Jing
    Luo, Zhibin
    DISCOVER ONCOLOGY, 2024, 15 (01)
  • [47] Molecular subtype of gastric cancer based on apoptosis-related genes reveals differential immune microenvironment and intratumoral microorganisms distribution
    Yu, Xuan
    Shao, Yongfu
    Dong, Haotian
    Yan, Jianing
    Zhang, Xinjun
    Ye, Guoliang
    BMC CANCER, 2025, 25 (01)
  • [48] Identification of anoikis-related molecular patterns and the novel risk model to predict prognosis, tumor microenvironment infiltration and immunotherapy response in bladder cancer
    Zhu, Luochen
    Xiao, Feng
    Hou, Yi
    Huang, Shenjun
    Xu, Yanyan
    Guo, Xiaohong
    Dong, Xinwei
    Xu, Chunlu
    Zhang, Xiaolei
    Gu, Haijuan
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [49] Multi-omics comprehensive analysis reveals the predictive value of N6-methyladenosine-related genes in prognosis and immune escape of bladder cancer
    Liu, Yang
    Pang, Zhongqi
    Wang, Jianshe
    Wang, Jinfeng
    Ji, Bo
    Xu, Yidan
    He, Jiaxin
    Zhang, Lu
    Han, Yansong
    Shen, Linkun
    Xu, Wanhai
    Ren, Minghua
    CANCER BIOMARKERS, 2024, 40 (01) : 79 - 94