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

Commun Biol. 2024 Jan 26;7(1):131. doi: 10.1038/s42003-024-05826-1.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cancer-Associated Fibroblasts* / metabolism
  • Cell Line, Tumor
  • Female
  • Fibroblasts / metabolism
  • Humans
  • Ovarian Neoplasms* / pathology
  • Single-Cell Gene Expression Analysis
  • Tumor Microenvironment / genetics