Integrative 5-Methylcytosine Modification Immunologically Reprograms Tumor Microenvironment Characterizations and Phenotypes of Clear Cell Renal Cell Carcinoma

被引:9
|
作者
Xu, Wenhao [1 ,2 ]
Zhu, Wenkai [1 ,2 ]
Tian, Xi [1 ,2 ]
Liu, Wangrui [3 ]
Wu, Yuanyuan [4 ]
Anwaier, Aihetaimujiang [1 ,2 ]
Su, Jiaqi [1 ,2 ]
Wei, Shiyin [3 ]
Qu, Yuanyuan [1 ,2 ]
Zhang, Hailiang [1 ,2 ]
Ye, Dingwei [1 ,2 ]
机构
[1] Fudan Univ, Dept Urol, Shanghai Canc Ctr, Shanghai, Peoples R China
[2] Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai, Peoples R China
[3] Youjiang Med Univ Nationalities, Dept Neurosurg, Affiliated Hosp, Baise, Peoples R China
[4] Naval Mil Med Univ, Naval Med Ctr PLA, Dept Gastroenterol, Shanghai, Peoples R China
来源
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY | 2021年 / 9卷
基金
上海市自然科学基金;
关键词
clear cell renal cell carcinoma; 5-methylcytosine; tumor microenvironment; renal cell carcinoma (RCC) clear cell renal cell carcinoma (CCRCC); immune checkpoint therapies; prognosis; machine learning algorithm; CANCER; REVEAL; EXPRESSION; THERAPIES;
D O I
10.3389/fcell.2021.772436
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The tumor microenvironment (TME) affects the biologic malignancy of clear cell renal cell carcinoma (ccRCC). The influence of the 5-methylcytosine (m(5)C) epigenetic modification on the TME is unknown. We comprehensively assessed m(5)C modification patterns of 860 ccRCC samples (training, testing, and real-world validation cohorts) based on 17 m(5)C regulators and systematically integrated the modification patterns with TME cell-infiltrating characterizations. Our results identified distinct m(5)C modification clusters with gradual levels of immune cell infiltration. The distinct m(5)C modification patterns differ in clinicopathological features, genetic heterogeneity, patient prognosis, and treatment responses of ccRCC. An elevated m(5)C score, characterized by malignant biologic processes of tumor cells and suppression of immunity response, implies an immune-desert TME phenotype and is associated with dismal prognosis of ccRCC. Activation of exhausted T cells and effective immune infiltration were observed in the low m(5)C score cluster, reflecting a noninflamed and immune-excluded TME phenotype with favorable survival and better responses to immunotherapy. Together, these findings provide insights into the regulation mechanisms of DNA m(5)C methylation modification patterns on the tumor immune microenvironment. Comprehensive assessment of tumor m(5)C modification patterns may enhance our understanding of TME cell-infiltrating characterizations and help establish precision immunotherapy strategies for individual ccRCC patients.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma
    Liu-xun Chen
    Shen-jie Zeng
    Xv-dong Liu
    Hai-bin Tang
    Jia-wu Wang
    Qing Jiang
    Journal of Translational Medicine, 21
  • [32] Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy
    Liu, Jie
    Xu, Jiangfan
    Zhang, Tong
    Xu, Kailong
    Bao, Peihua
    Zhang, Zhibo
    Xue, Kaiwen
    He, Ruyi
    Ma, Lixin
    Wang, Yang
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [33] Single-Cell RNA-Seq Analysis Reveals Ferroptosis in the Tumor Microenvironment of Clear Cell Renal Cell Carcinoma
    Zhang, Jing
    Deng, Yun
    Zhang, Hui
    Zhang, Zhiyuan
    Jin, Xin
    Xuan, Yan
    Zhang, Zhen
    Ma, Xuejun
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (10)
  • [34] Comprehensive analysis of pyroptosis regulators and tumor immune microenvironment in clear cell renal cell carcinoma
    Zhang, Yan
    Chen, Xianwu
    Fu, Qinghe
    Wang, Feifan
    Zhou, Xuejian
    Xiang, Jiayong
    He, Ning
    Hu, Zhenghui
    Jin, Xiaodong
    CANCER CELL INTERNATIONAL, 2021, 21 (01)
  • [35] Tumor microenvironment immune subtypes for classification of novel clear cell renal cell carcinoma profiles with prognostic and therapeutic implications
    Wang, Qiang
    Hu, Jinding
    Kang, Weiting
    Wang, Jin
    Xiang, Yuzhu
    Fu, Min
    Gao, Hui
    Huang, Zhilong
    MEDICINE, 2021, 100 (11) : E24949
  • [36] Analyzing and validating the prognostic value and immune microenvironment of clear cell renal cell carcinoma
    Ke, Jingwei
    Chen, Jie
    Liu, Xin
    ANIMAL CELLS AND SYSTEMS, 2022, 26 (02) : 52 - 61
  • [37] Construction of a 12-Gene Prognostic Risk Model and Tumor Immune Microenvironment Analysis Based on the Clear Cell Renal Cell Carcinoma Model
    Wang, Shuo
    Yu, Ziyi
    Cao, Yudong
    Du, Peng
    Ma, Jinchao
    Ji, Yongpeng
    Yang, Xiao
    Zhao, Qiang
    Hong, Baoan
    Yang, Yong
    Hai, Yanru
    Li, Junhui
    Mao, Yufeng
    Wu, Shuangxiu
    CANCER CONTROL, 2024, 31
  • [38] Identification of Immune-Related Cells and Genes in Tumor Microenvironment of Clear Cell Renal Cell Carcinoma
    Du, Bowen
    Zhou, Yulin
    Yi, Xiaoming
    Zhao, Tangliang
    Tang, Chaopeng
    Shen, Tianyi
    Zhou, Kai
    Wei, Huixian
    Xu, Song
    Dong, Jie
    Qu, Le
    He, Haowei
    Zhou, Wenquan
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [39] Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment
    Wu, Ji
    Li, Jian
    Huang, Bo
    Dong, Sunbin
    Wu, Luyang
    Shen, Xiping
    Zheng, Zhigang
    CANCER IMAGING, 2024, 24 (01)
  • [40] CGN Correlates With the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma
    Tian, Zijian
    Meng, Lingfeng
    Wang, Xin
    Diao, Tongxiang
    Hu, Maolin
    Wang, Miao
    Zhang, Yaqun
    Liu, Ming
    Wang, Jianye
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2022, 9