Single-cell transcriptomic analysis reveals intra-tumoral heterogeneity and immunotherapy strategies in high-grade serous ovarian cancer
Chunhui Gao, Xiaogang Lv, Anqi Pan, Lipai Chen, Qianqian Liu, Donghui Zhang, Wenjuan Wu

TL;DR
This study uses single-cell RNA sequencing to uncover cell diversity in ovarian cancer and identifies immune-related cell types linked to better patient outcomes.
Contribution
The study reveals how IFIT1+ epithelial cells enhance immune response and identifies potential biomarkers for HGSOC treatment.
Findings
Seven major cell types were identified in high-grade serous ovarian cancer.
IFIT1+ epithelial cells overexpressing MHC class I are associated with improved patient prognosis.
Tumor-associated fibroblasts and epithelial cells contribute to chemoresistance and metastasis.
Abstract
High-grade serous ovarian cancer (HGSOC) is the most common type of ovarian cancer, characterized by high intra-tumoral heterogeneity and platinum resistance. In this study, single-cell RNA sequencing data with HGSOC were analyzed. We identified seven major cell types in HGSOC and observed significant changes in the proportions of cancer-associated fibroblasts and epithelial cells as tumor drug resistance increased. The abundance of IFIT1+ and CXCL10+ epithelial cells highly expressing MHC class Ⅰ molecules, which are strongly associated with antigen processing and presentation, was found to improve patients’ outcomes. Ultimately, the relationships between IFIT1, MHC class Ⅰ molecules, and CD8+ T cells were verified in additional cohorts, using multiplex immunohistochemistry. Our data suggest that IFIT1+ epithelial cells might enhance immune surveillance via increasing the expression of…
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Taxonomy
TopicsSingle-cell and spatial transcriptomics · Cancer Immunotherapy and Biomarkers · Ferroptosis and cancer prognosis
