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

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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
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Communications Biology | / 7卷
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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.
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  • [1] Lheureux S(2019)Epithelial ovarian cancer: evolution of management in the era of precision medicine Ca. Cancer J. Clin. 69 280-304
  • [2] Braunstein M(2022)Cancer statistics in China and United States, 2022: profiles, trends, and determinants Chin. Med. J. 135 584-590
  • [3] Oza AM(2023)Cancer statistics, 2023 Ca. Cancer J. Clin. 73 17-48
  • [4] Xia C(2009)Ovarian cancer Lancet 374 1371-1382
  • [5] Siegel RL(2017)Ovarian cancer stem cells more questions than answers Semin. Cancer Biol. 44 67-71
  • [6] Miller KD(2016)Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial Lancet 387 945-956
  • [7] Wagle NS(2009)A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass Gynecol. Oncol. 112 40-46
  • [8] Jemal A(2022)Decoding the multicellular ecosystem of vena caval tumor thrombus in clear cell renal cell carcinoma by single-cell RNA sequencing Genome Biol. 23 eabm1831-807
  • [9] Hennessy BT(2022)Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer Sci. Adv. 8 793-3602
  • [10] Coleman RL(2022)Cancer-associated fibroblasts in the single-cell era Nat. Cancer 3 3590-169