Abstract

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.

A single-cell interaction study on ovarian cancer reveals heterogeneous epithelial-immune-stromal cellular compartments and their interactions in shaping the tumor microenvironment, especially through the NECTIN2-TIGIT interaction.

Details

Title
Single-cell transcriptome analysis of epithelial, immune, and stromal signatures and interactions in human ovarian cancer
Author
Chai, Chaochao 1 ; Liang, Langchao 1 ; Mikkelsen, Nanna S. 2 ; Wang, Wei 3 ; Zhao, Wandong 4 ; Sun, Chengcheng 4 ; Bak, Rasmus O. 2   VIAFID ORCID Logo  ; Li, Hanbo 5   VIAFID ORCID Logo  ; Lin, Lin 6   VIAFID ORCID Logo  ; Wang, Fei 7   VIAFID ORCID Logo  ; Luo, Yonglun 8   VIAFID ORCID Logo 

 University of Chinese Academy of Sciences, College of Life Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Lars Bolund Institute of Regenerative Medicine Qingdao-Europe Advanced Institute for LifeScience, BGI Research, Qingdao, China (GRID:grid.410726.6); BGI Research, Shenzhen, China (GRID:grid.410726.6) 
 Aarhus University, Department of Biomedicine, Aarhus, Denmark (GRID:grid.7048.b) (ISNI:0000 0001 1956 2722) 
 Huazhong University of Science and Technology, Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Wuhan, China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223) 
 University of Chinese Academy of Sciences, College of Life Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Lars Bolund Institute of Regenerative Medicine Qingdao-Europe Advanced Institute for LifeScience, BGI Research, Qingdao, China (GRID:grid.410726.6) 
 Lars Bolund Institute of Regenerative Medicine Qingdao-Europe Advanced Institute for LifeScience, BGI Research, Qingdao, China (GRID:grid.7048.b); BGI Research, Shenzhen, China (GRID:grid.7048.b) 
 Aarhus University, Department of Biomedicine, Aarhus, Denmark (GRID:grid.7048.b) (ISNI:0000 0001 1956 2722); Aarhus University Hospital, Steno Diabetes Center Aarhus, Aarhus, Denmark (GRID:grid.154185.c) (ISNI:0000 0004 0512 597X) 
 Lars Bolund Institute of Regenerative Medicine Qingdao-Europe Advanced Institute for LifeScience, BGI Research, Qingdao, China (GRID:grid.154185.c); BGI Research, Shenzhen, China (GRID:grid.154185.c); Aarhus University, Department of Biomedicine, Aarhus, Denmark (GRID:grid.7048.b) (ISNI:0000 0001 1956 2722) 
 Lars Bolund Institute of Regenerative Medicine Qingdao-Europe Advanced Institute for LifeScience, BGI Research, Qingdao, China (GRID:grid.7048.b); BGI Research, Shenzhen, China (GRID:grid.7048.b); Aarhus University, Department of Biomedicine, Aarhus, Denmark (GRID:grid.7048.b) (ISNI:0000 0001 1956 2722); Aarhus University Hospital, Steno Diabetes Center Aarhus, Aarhus, Denmark (GRID:grid.154185.c) (ISNI:0000 0004 0512 597X) 
Pages
131
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2918729032
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.