Single-Cell Analysis Reveals Spatial Heterogeneity of Immune Cells in Lung Adenocarcinoma

被引:11
|
作者
Wang, Youyu [1 ]
Li, Xiaohua [2 ]
Peng, Shengkun [3 ,4 ]
Hu, Honglin [5 ]
Wang, Yuntao [6 ]
Shao, Mengqi [1 ]
Feng, Gang [1 ]
Liu, Yu [5 ]
Bai, Yifeng [5 ]
机构
[1] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Thorac Surg, Chengdu, Peoples R China
[2] Sixth Peoples Hosp Chengdu, Dept Resp & Crit Care Med, Chengdu, Peoples R China
[3] Univ Elect Sci & Technol China, Sichuan Acad Med Sci, Dept Radiol, Chengdu, Peoples R China
[4] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Chengdu, Peoples R China
[5] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Oncol, Chengdu, Peoples R China
[6] Chengdu Univ Tradit Chinese Med, Peoples Hosp 5, Dept Oncol, Clin Med Coll 2, Chengdu, Peoples R China
关键词
single-cell sequencing; spatial heterogeneity; lung adenocarcinoma; immune microenvironment; immunity; B-CELLS; CANCER; IMMUNOTHERAPY; MECHANISMS; BLOCKADE; HYPOXIA;
D O I
10.3389/fcell.2021.638374
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The impacts of the tumor microenvironment (TME) on tumor evolvability remain unclear. A challenge for nearly all cancer types is spatial heterogeneity, providing substrates for the emergence and evolvability of drug resistance and leading to unfavorable prognosis. Understanding TME heterogeneity among different tumor sites would provide deeper insights into personalized therapy. We found 9,992 cell profiles of the TME in human lung adenocarcinoma (LUAD) samples at a single-cell resolution. By comparing different tumor sites, we discovered high TME heterogeneity. Single-sample gene set enrichment analysis (ssGSEA) was utilized to explore functional differences between cell subpopulations and between the core, middle and edge of tumors. We identified 8 main cell types and 27 cell subtypes of T cells, B cells, fibroblasts and myeloid cells. We revealed CD4(+) naive T cells in the tumor core that express high levels of immune checkpoint molecules and have a higher activity of immune-exhaustion signaling. CD8(+) T cell subpopulations in the tumor core correlate with the upregulated activity of transforming growth factor-beta (TGF-beta) and fibroblast growth factor receptor (FGFR) signaling and downregulated T cell activity. B cell subtypes in the tumor core downregulate cytokine production. In this study, we revealed that there was immunological heterogeneity in the TME of patients with LUAD that have different ratios of immune cells and stromal cells, different functions, and various degrees of activation of immune-related pathways in different tumor parts. Therefore, clarifying the spatial heterogeneity of the tumor in the immune microenvironment can help clinicians design personalized treatments.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Single-cell transcriptome analysis reveals intratumoral heterogeneity in lung adenocarcinoma
    Xu, Hong
    Jiang, Lin
    Qin, Lingshan
    Shi, Ping
    Xu, Ping
    Liu, Changyu
    ENVIRONMENTAL TOXICOLOGY, 2024, 39 (03) : 1847 - 1857
  • [2] Single-cell RNA sequencing of lung adenocarcinoma reveals heterogeneity of immune response-related genes
    Ma, Ke-Yue
    Schonnesen, Alexandra A.
    Brock, Amy
    Van den Berg, Carla
    Eckhardt, S. Gail
    Liu, Zhihua
    Jiang, Ning
    JCI INSIGHT, 2019, 4 (04):
  • [3] Single-cell RNA sequencing reveals spatial heterogeneity and immune evasion of circulating tumor cells
    Sun, Yunfan
    Zhou, Jian
    Fan, Jia
    Yang, Xinrong
    CANCER BIOLOGY & MEDICINE, 2021, 18 (04) : 934 - 936
  • [4] Single-cell RNA sequencing reveals spatial heterogeneity and immune evasion of circulating tumor cells
    Yunfan Sun
    Jian Zhou
    Jia Fan
    Xinrong Yang
    Cancer Biology & Medicine, 2021, 18 (04) : 934 - 936
  • [5] Single-cell RNA sequencing reveals spatial heterogeneity and immune evasion of circulating tumor cells
    Yunfan Sun
    Jian Zhou
    Jia Fan
    Xinrong Yang
    Cancer Biology & Medicine, 2021, (04) : 934 - 936
  • [6] Comparative analysis of single-cell transcriptome reveals heterogeneity in the tumor microenvironment of lung adenocarcinoma and brain metastases
    Jialu Liang
    Ruihao Liang
    Kai Lei
    Jing Huang
    Huayue Lin
    Minghui Wang
    Discover Oncology, 14
  • [7] Comparative analysis of single-cell transcriptome reveals heterogeneity in the tumor microenvironment of lung adenocarcinoma and brain metastases
    Liang, Jialu
    Liang, Ruihao
    Lei, Kai
    Huang, Jing
    Lin, Huayue
    Wang, Minghui
    DISCOVER ONCOLOGY, 2023, 14 (01)
  • [8] Spatial single-cell immune microenvironment analysis reveals the transition from innate to adaptive immune response during early lung adenocarcinoma carcinogenesis
    Zhu, Bo
    Chen, Pingjun
    Aminu, Muhammad
    Fujimoto, Junya
    Hong, Lingzhi
    Moreira, Andre L.
    Li, Jian-Rong
    Tian, Yanhua
    Soto, Luisa M. Solis
    Roger, Parra Cuentas Edwin
    Shi, Ou
    Chen, Hong
    Rojas, Frank R.
    Vilar, Eduardo
    Maitra, Anirban
    Chen, Ken
    Navin, Nicolas
    Haymacker, Cara L.
    Velcheti, Vamsidhar
    Sterman, Daniel H.
    Futreal, P. Andrew
    Gibbons, Don L.
    Wistuba, Ignacio I.
    Heymach, John V.
    Cheng, Chao
    Pass, Harvey I.
    Wu, Jia
    Zhang, Jianjun
    CANCER RESEARCH, 2024, 84 (06)
  • [9] Single-cell RNA sequencing analysis to explore immune cell heterogeneity and novel biomarkers for the prognosis of lung adenocarcinoma
    Xu, Yong
    Wang, Yao
    Liang, Leilei
    Song, Nan
    FRONTIERS IN GENETICS, 2022, 13
  • [10] Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues
    Hashimoto, Shinichi
    Tabuchi, Yuta
    Yurino, Hideaki
    Hirohashi, Yoshihiko
    Deshimaru, Shungo
    Asano, Takuya
    Mariya, Tasuku
    Oshima, Kenshiro
    Takamura, Yuzuru
    Ukita, Yoshiaki
    Ametani, Akio
    Kondo, Naoto
    Monma, Norikazu
    Takeda, Tadayuki
    Misu, Sadahiko
    Okayama, Toshitugu
    Ikeo, Kazuho
    Saito, Tsuyoshi
    Kaneko, Shuich
    Suzuki, Yutaka
    Hattori, Masahira
    Matsushima, Kouji
    Torigoe, Toshihiko
    SCIENTIFIC REPORTS, 2017, 7