RNA Modification of N6-Methyladenosine Predicts Immune Phenotypes and Therapeutic Opportunities in Kidney Renal Clear Cell Carcinoma

被引:30
作者
Li, Huihuang [1 ]
Hu, Jiao [1 ]
Yu, Anze [1 ,2 ]
Othmane, Belaydi [1 ]
Guo, Tao [1 ]
Liu, Jinhui [1 ]
Cheng, Chunliang [1 ]
Chen, Jinbo [1 ]
Zu, Xiongbing [1 ]
机构
[1] Cent South Univ, Xiangya Hosp, Dept Urol, Changsha, Peoples R China
[2] Texas Med Ctr, Houston Methodist Res Inst, Immunobiol & Transplant Sci Ctr, Houston, TX USA
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
基金
湖南省自然科学基金; 中国国家自然科学基金;
关键词
kidney renal clear cell carcinoma; N6-methyladenosine; immune phenotype; immune checkpoint blockade; tumor microenvironment; METHYLATION REGULATORS; MALIGNANT PROGRESSION; CANCER-IMMUNOTHERAPY; M(6)A; EXPRESSION; PROGNOSIS; PROMOTES; FTO; ALKBH5;
D O I
10.3389/fonc.2021.642159
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
RNA modification of N6-methyladenosine (m6A) plays critical roles in various biological processes, such as cancer development, inflammation, and the anticancer immune response. However, the role played by a comprehensive m6A modification pattern in regulating anticancer immunity in kidney renal clear cell carcinoma (KIRC) has not been fully elucidated. In this study, we identified two independent m6A modification patterns with distinct biological functions, immunological characteristics, and prognoses in KIRC. Next, we developed an m6A score algorithm to quantify an individual's m6A modification pattern, which was independently validated in external cohorts. The m6A cluster 1 and low m6A score groups were characterized by a hot tumor microenvironment with an increased infiltration level of cytotoxic immune cells, higher tumor mutation burden, higher immune checkpoint expression, and decreased stroma-associated signature enrichment. In general, the m6A cluster 1 and low m6A score groups reflected an inflammatory phenotype, which may be more sensitive to anticancer immunotherapy. The m6A cluster 2 and high m6A score groups indicated a non-inflammatory phenotype, which may not be sensitive to immunotherapy but rather to targeted therapy. In this study, we first identified m6A clusters and m6A scores to elucidate immune phenotypes and to predict the prognosis and immunotherapy response in KIRC, which can guide urologists for making more precise clinical decisions.
引用
收藏
页数:18
相关论文
共 48 条
  • [1] xCell: digitally portraying the tissue cellular heterogeneity landscape
    Aran, Dvir
    Hu, Zicheng
    Butte, Atul J.
    [J]. GENOME BIOLOGY, 2017, 18
  • [2] Landscape of Microsatellite Instability Across 39 Cancer Types
    Bonneville, Russell
    Krook, Melanie A.
    Kautto, Esko A.
    Miya, Jharna
    Wing, Michele R.
    Chen, Hui-Zi
    Reeser, Julie W.
    Yu, Lianbo
    Roychowdhury, Sameek
    [J]. JCO PRECISION ONCOLOGY, 2017, 1 : 1 - 15
  • [3] Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade
    Charoentong, Pornpimol
    Finotello, Francesca
    Angelova, Mihaela
    Mayer, Clemens
    Efremova, Mirjana
    Rieder, Dietmar
    Hackl, Hubert
    Trajanoski, Zlatko
    [J]. CELL REPORTS, 2017, 18 (01): : 248 - 262
  • [4] Oncology Meets Immunology: The Cancer-Immunity Cycle
    Chen, Daniel S.
    Mellman, Ira
    [J]. IMMUNITY, 2013, 39 (01) : 1 - 10
  • [5] Identification of a m6A RNA methylation regulators-based signature for predicting the prognosis of clear cell renal carcinoma
    Chen, Jing
    Yu, Kun
    Zhong, Guansheng
    Shen, Wei
    [J]. CANCER CELL INTERNATIONAL, 2020, 20 (01)
  • [6] Co-expression network analysis identified FCER1G in association with progression and prognosis in human clear cell renal cell carcinoma
    Chen, Liang
    Yuan, Lushun
    Wang, Yongzhi
    Wang, Gang
    Zhu, Yuan
    Cao, Rui
    Qian, Guofeng
    Xie, Conghua
    Liu, Xuefeng
    Xiao, Yu
    Wang, Xinghuan
    [J]. INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES, 2017, 13 (11): : 1361 - 1372
  • [7] m6A RNA modification modulates gene expression and cancer-related pathways in clear cell renal cell carcinoma
    Chen, Yimeng
    Zhou, Cuixing
    Sun, Yangyang
    He, Xiaozhou
    Xue, Dong
    [J]. EPIGENOMICS, 2020, 12 (02) : 87 - 99
  • [8] Identification of cross-talk between m6A and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types
    Chen, Yu-Tong
    Shen, Jia-Yi
    Chen, Dong-Ping
    Wu, Chen-Fei
    Guo, Rui
    Zhang, Pan-Pan
    Lv, Jia-Wei
    Li, Wen-Fei
    Wang, Zi-Xian
    Chen, Yu-Pei
    [J]. JOURNAL OF HEMATOLOGY & ONCOLOGY, 2020, 13 (01)
  • [9] TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data
    Colaprico, Antonio
    Silva, Tiago C.
    Olsen, Catharina
    Garofano, Luciano
    Cava, Claudia
    Garolini, Davide
    Sabedot, Thais S.
    Malta, Tathiane M.
    Pagnotta, Stefano M.
    Castiglioni, Isabella
    Ceccarelli, Michele
    Bontempi, Gianluca
    Noushmehr, Houtan
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (08) : e71
  • [10] RNA N6-methyladenosine modification in cancers: current status and perspectives
    Deng, Xiaolan
    Su, Rui
    Weng, Hengyou
    Huang, Huilin
    Li, Zejuan
    Chen, Jianjun
    [J]. CELL RESEARCH, 2018, 28 (05) : 507 - 517