Single-cell transcriptome analysis of epithelial, immune, and stromal signatures and interactions in human ovarian cancer

被引:0
|
作者
Chaochao Chai
Langchao Liang
Nanna S. Mikkelsen
Wei Wang
Wandong Zhao
Chengcheng Sun
Rasmus O. Bak
Hanbo Li
Lin Lin
Fei Wang
Yonglun Luo
机构
[1] University of Chinese Academy of Sciences,College of Life Sciences
[2] Lars Bolund Institute of Regenerative Medicine Qingdao-Europe Advanced Institute for LifeScience,Department of Biomedicine
[3] BGI Research,Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College
[4] BGI Research,Steno Diabetes Center Aarhus
[5] Aarhus University,undefined
[6] Huazhong University of Science and Technology,undefined
[7] Aarhus University Hospital,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
A comprehensive investigation of ovarian cancer (OC) progression at the single-cell level is crucial for enhancing our understanding of the disease, as well as for the development of better diagnoses and treatments. Here, over half a million single-cell transcriptome data were collected from 84 OC patients across all clinical stages. Through integrative analysis, we identified heterogeneous epithelial-immune-stromal cellular compartments and their interactions in the OC microenvironment. The epithelial cells displayed clinical subtype features with functional variance. A significant increase in distinct T cell subtypes was identified including Tregs and CD8+ exhausted T cells from stage IC2. Additionally, we discovered antigen-presenting cancer-associated fibroblasts (CAFs), with myofibroblastic CAFs (myCAFs) exhibiting enriched extracellular matrix (ECM) functionality linked to tumor progression at stage IC2. Furthermore, the NECTIN2-TIGIT ligand-receptor pair was identified to mediate T cells communicating with epithelial, fibroblast, endothelial, and other cell types. Knock-out of NECTIN2 using CRISPR/Cas9 inhibited ovarian cancer cell (SKOV3) proliferation, and increased T cell proliferation when co-cultured. These findings shed light on the cellular compartments and functional aspects of OC, providing insights into the molecular mechanisms underlying stage IC2 and potential therapeutic strategies for OC.
引用
收藏
相关论文
共 50 条
  • [1] Single-cell transcriptome analysis of epithelial, immune, and stromal signatures and interactions in human ovarian cancer
    Chai, Chaochao
    Liang, Langchao
    Mikkelsen, Nanna S.
    Wang, Wei
    Zhao, Wandong
    Sun, Chengcheng
    Bak, Rasmus O.
    Li, Hanbo
    Lin, Lin
    Wang, Fei
    Luo, Yonglun
    COMMUNICATIONS BIOLOGY, 2024, 7 (01)
  • [2] Single-cell transcriptome analysis reveals reciprocal epithelial and endothelial cell evolution in ovarian cancer
    Liang, Langchao
    Chai, Chaochao
    Liu, Anmin
    Nadukkandy, Aisha Shigna
    Kalaiselvan, Sowmiya
    Brandt, Camilla Blunk
    Zhao, Wandong
    Li, Hanbo
    Lin, Lin
    Wu, Jianmin
    Luo, Yonglun
    ISCIENCE, 2024, 27 (12)
  • [3] Single-cell transcriptome analysis of macrophage subpopulations contributing to chemotherapy resistance in ovarian cancer
    Zhong, Xiaolin
    Zhang, Fei
    Xiao, Hongyang
    Tu, Ruiqing
    IMMUNOBIOLOGY, 2024, 229 (05)
  • [4] Single-cell advances in stromal-leukocyte interactions in cancer
    Wu, Sunny Z.
    Swarbrick, Alexander
    IMMUNOLOGICAL REVIEWS, 2021, 302 (01) : 286 - 298
  • [5] Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing
    Li, Zhongkang
    Gu, Haihan
    Xu, Xiaotong
    Tian, Yanpeng
    Huang, Xianghua
    Du, Yanfang
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [6] Identification of the immune subtype of ovarian cancer patients by integrated analyses of transcriptome and single-cell sequencing data
    Sixue Wang
    Xi Wang
    Xiaomeng Xia
    Tingting Zhang
    Mingyu Yi
    Zeying Li
    Li Jiang
    Yalan Yang
    Jie Fu
    Xiaoling Fang
    Scientific Reports, 12
  • [7] Identification of the immune subtype of ovarian cancer patients by integrated analyses of transcriptome and single-cell sequencing data
    Wang, Sixue
    Wang, Xi
    Xia, Xiaomeng
    Zhang, Tingting
    Yi, Mingyu
    Li, Zeying
    Jiang, Li
    Yang, Yalan
    Fu, Jie
    Fang, Xiaoling
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [8] Single-cell transcriptome analysis of human oocyte ageing
    Yuan, Lihua
    Yin, Ping
    Yan, Hua
    Zhong, Xiufang
    Ren, Chunxia
    Li, Kai
    Chin Heng, Boon
    Zhang, Wuwen
    Tong, Guoqing
    JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2021, 25 (13) : 6289 - 6303
  • [9] Single-cell dissection of cellular components and interactions shaping the tumor immune phenotypes in ovarian cancer
    Hornburg, Milena
    Desbois, Melanie
    Lu, Shan
    Guan, Yinghui
    Lo, Amy A.
    Kaufman, Susan
    Elrod, Ashley
    Lotstein, Alina
    DesRochers, Teresa M.
    Munoz-Rodriguez, Jose L.
    Wang, Xingwei
    Giltnane, Jennifer
    Mayba, Oleg
    Turley, Shannon J.
    Bourgon, Richard
    Daemen, Anneleen
    Wang, Yulei
    CANCER CELL, 2021, 39 (07) : 928 - +
  • [10] Single-Cell Transcriptome Analysis of Human Adipose-Derived Stromal Cells Identifies a Contractile Cell Subpopulation
    Wolmarans, Elize
    Mellet, Juanita
    Durandt, Chrisna
    Joubert, Fourie
    Pepper, Michael S.
    STEM CELLS INTERNATIONAL, 2021, 2021