ArticleiScience2024
Single-cell transcriptome analysis reveals reciprocal epithelial and endothelial cell evolution in ovarian cancer.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Single-cell multi-omics and machine learning for dissecting stemness in cancer.Briefings in bioinformatics · 2025Review
- Leveraging machine learning models to evaluate immune infiltration in the ovarian cancer microenvironment: a single-cell analysis approach.Discover oncology · 2025Article
- Machine Learning-Assisted Analysis of the Oral Cancer Immune Microenvironment: From Single-Cell Level to Prognostic Model Construction.Journal of cellular and molecular medicine · 2025Article
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Authors and funding
11 authors.
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Abstract
Tumor neovascularization mediated by endothelial cells (ECs) is essential for ovarian cancer (OC) progression, but interactions between epithelial cells and ECs are not well understood. Here, we analyze single-cell transcriptome of 87,847 epithelial cells and 11,696 ECs from fallopian tubes, primary and metastatic ovarian tumors. Cell differentiation trajectory analysis reveals that fallopian tube cells exhibit a potential development trend toward primary OC epithelial cells. We identify a sub-population of fallopian tube epithelial cells (FTSEC3), which highly express tumor cell markers and are enriched in vascular endothelial growth factor production. Two neovascularization-related EC phenotypes (MKI67+ proliferating ECs and ESM1+ tip cells) are specially found in ovarium tumors, which exhibit strong interactions with FTSEC3. We validate that genetic disruption of LAMININ and TGF-β with CRISPR in ECs inhibits sprouting angiogenesis. In summary, this study reveals a reciprocal evolution and interaction between epithelial and ECs in OC development and progression.
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