Mapping the immune environment in clear cell renal carcinoma by single-cell genomics

被引:185
|
作者
Borcherding, Nicholas [1 ,2 ,3 ]
Vishwakarma, Ajaykumar [4 ,5 ,6 ]
Voigt, Andrew P. [2 ]
Bellizzi, Andrew [7 ]
Kaplan, Jacob [7 ]
Nepple, Kenneth [3 ,8 ]
Salem, Aliasger K. [3 ,4 ]
Jenkins, Russell W. [5 ,6 ]
Zakharia, Yousef [3 ,8 ,9 ]
Zhang, Weizhou [3 ,7 ,10 ]
机构
[1] Washington Univ, Sch Med, Dept Pathol & Immunol, St Louis, MO USA
[2] Univ Iowa, Med Sci Training Program, Iowa City, IA USA
[3] Univ Iowa, Holden Comprehens Canc Ctr, Iowa City, IA 52242 USA
[4] Univ Iowa, Coll Pharm, Dept Pharmaceut Sci & Expt Therapeut, Iowa City, IA 52242 USA
[5] Harvard Med Sch, Lab Syst Pharmacol, Harvard Program Therapeut Sci, Boston, MA 02115 USA
[6] Harvard Med Sch, Dept Med, Massachusetts Gen Hosp, Ctr Canc, Boston, MA 02115 USA
[7] Univ Iowa Hosp & Clin, Dept Pathol, Iowa City, IA 52242 USA
[8] Univ Iowa Hosp & Clin, Dept Urol, Iowa City, IA 52242 USA
[9] Univ Iowa Hosp & Clin, Dept Internal Med, Iowa City, IA 52242 USA
[10] Univ Florida, Dept Pathol Immunol & Lab Med, Gainesville, FL 32611 USA
基金
美国国家卫生研究院;
关键词
T-CELLS; LYMPHOCYTES; LANDSCAPE; THERAPIES;
D O I
10.1038/s42003-020-01625-6
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Clear cell renal cell carcinoma (ccRCC) is one of the most immunologically distinct tumor types due to high response rate to immunotherapies, despite low tumor mutational burden. To characterize the tumor immune microenvironment of ccRCC, we applied single-cell-RNA sequencing (SCRS) along with T-cell-receptor (TCR) sequencing to map the transcriptomic heterogeneity of 25,688 individual CD45(+) lymphoid and myeloid cells in matched tumor and blood from three patients with ccRCC. We also included 11,367 immune cells from four other individuals derived from the kidney and peripheral blood to facilitate the identification and assessment of ccRCC-specific differences. There is an overall increase in CD8(+) T-cell and macrophage populations in tumor-infiltrated immune cells compared to normal renal tissue. We further demonstrate the divergent cell transcriptional states for tumor-infiltrating CD8(+) T cells and identify a MKI67 + proliferative subpopulation being a potential culprit for the progression of ccRCC. Using the SCRS gene expression, we found preferential prediction of clinical outcomes and pathological diseases by subcluster assignment. With further characterization and functional validation, our findings may reveal certain subpopulations of immune cells amenable to therapeutic intervention.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Mapping the immune environment in clear cell renal carcinoma by single-cell genomics
    Nicholas Borcherding
    Ajaykumar Vishwakarma
    Andrew P. Voigt
    Andrew Bellizzi
    Jacob Kaplan
    Kenneth Nepple
    Aliasger K. Salem
    Russell W. Jenkins
    Yousef Zakharia
    Weizhou Zhang
    Communications Biology, 4
  • [2] Mapping immune landscape in clear cell renal carcinoma by single-cell genomics.
    Vishwakarma, Ajaykumar
    Bocherding, Nick
    Chimenti, Michael
    Vishwakarma, Purshottam
    Nepple, Kenneth
    Salem, Aliasger
    Jenkins, Russell W.
    Zhang, Weizhou
    Zakharia, Yousef
    CANCER IMMUNOLOGY RESEARCH, 2020, 8 (03) : 71 - 71
  • [3] Mapping the tumor microenvironment in clear cell renal carcinoma by single-cell transcriptome analysis
    Wang, Yuxiong
    Wang, Yishu
    Liu, Bin
    Gao, Xin
    Li, Yunkuo
    Li, Faping
    Zhou, Honglan
    FRONTIERS IN GENETICS, 2023, 14
  • [4] 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
  • [5] Single-cell analysis reveals metastatic cell heterogeneity in clear cell renal cell carcinoma
    Liu, Kun
    Gao, Rui
    Wu, Hao
    Wang, Zhe
    Han, Guang
    JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2021, 25 (09) : 4260 - 4274
  • [6] Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study
    Wen-jin Chen
    Hao Cao
    Jian-wei Cao
    Li Zuo
    Fa-jun Qu
    Da Xu
    Hao Zhang
    Hai-yi Gong
    Jia-xin Chen
    Jian-qing Ye
    Si-shun Gan
    Wang Zhou
    Da-wei Zhu
    Xiu-Wu Pan
    Xin-gang Cui
    Cell Death & Disease, 13
  • [7] Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study
    Chen, Wen-jin
    Cao, Hao
    Cao, Jian-wei
    Zuo, Li
    Qu, Fa-jun
    Xu, Da
    Zhang, Hao
    Gong, Hai-yi
    Chen, Jia-xin
    Ye, Jian-qing
    Gan, Si-shun
    Zhou, Wang
    Zhu, Da-wei
    Pan, Xiu-Wu
    Cui, Xin-gang
    CELL DEATH & DISEASE, 2022, 13 (01)
  • [8] Evolutionary cell type mapping with single-cell genomics
    Tanay, Amos
    Sebe-Pedros, Arnau
    TRENDS IN GENETICS, 2021, 37 (10) : 919 - 932
  • [9] Single-cell analysis of immune and stroma cell remodeling in clear cell renal cell carcinoma primary tumors and bone metastatic lesions
    Shenglin Mei
    Adele M. Alchahin
    Ioanna Tsea
    Youmna Kfoury
    Taghreed Hirz
    Nathan Elias Jeffries
    Ting Zhao
    Yanxin Xu
    Hanyu Zhang
    Hirak Sarkar
    Shulin Wu
    Alexander O. Subtelny
    John Inge Johnsen
    Yida Zhang
    Keyan Salari
    Chin-Lee Wu
    Mark A. Randolph
    David T. Scadden
    Douglas M. Dahl
    John Shin
    Peter V. Kharchenko
    Philip J. Saylor
    David B. Sykes
    Ninib Baryawno
    Genome Medicine, 16
  • [10] Single-cell analysis of immune and stroma cell remodeling in clear cell renal cell carcinoma primary tumors and bone metastatic lesions
    Mei, Shenglin
    Alchahin, Adele M.
    Tsea, Ioanna
    Kfoury, Youmna
    Hirz, Taghreed
    Jeffries, Nathan Elias
    Zhao, Ting
    Xu, Yanxin
    Zhang, Hanyu
    Sarkar, Hirak
    Wu, Shulin
    Subtelny, Alexander O.
    Johnsen, John Inge
    Zhang, Yida
    Salari, Keyan
    Wu, Chin-Lee
    Randolph, Mark A.
    Scadden, David T.
    Dahl, Douglas M.
    Shin, John
    Kharchenko, Peter V.
    Saylor, Philip J.
    Sykes, David B.
    Baryawno, Ninib
    GENOME MEDICINE, 2024, 16 (01)