ArticleFrontiers in cell and developmental biology2023
Exploring the tumor micro-environment in primary and metastatic tumors of different ovarian cancer histotypes.
Article in Frontiers in cell and developmental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Unmasking FCGR2B as a high-grade serous ovarian cancer specific marker of immune suppression and tumor progression through multi-omics mining.Translational oncology · 2026Article
- Characterization of KLK5-high epithelial cells and their interactions with the tumor microenvironment in high-grade serous ovarian cancer.Cancer cell international · 2026Article
- Fatty acid uptake mediated by FABP4 promotes the formation of CD8Oncogenesis · 2026Article
- Applications and techniques of single-cell RNA sequencing across diverse species.Briefings in bioinformatics · 2025Review
- Identification biomarkers and therapeutic targets of disulfidptosis-related in rheumatoid arthritis via bioinformatics, molecular dynamics simulation, and experimental validation.Scientific reports · 2025Article
- Research trends and hotspots in the tumor microenvironment of ovarian cancer: a bibliometrics and visualization study from 2005 to 2024.Frontiers in immunology · 2025Article
- Stemness-driven clusters in ovarian cancer: immune characteristics and prognostic implications.Frontiers in oncology · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
Ovarian cancer is a highly heterogeneous disease consisting of at least five different histological subtypes with varying clinical features, cells of origin, molecular composition, risk factors, and treatments. While most single-cell studies have focused on High grade serous ovarian cancer, a comprehensive landscape of the constituent cell types and their interactions within the tumor microenvironment are yet to be established in the different ovarian cancer histotypes. Further characterization of tumor progression, metastasis, and various histotypes are also needed to connect molecular signatures to pathological grading for personalized diagnosis and tailored treatment. In this study, we leveraged high-resolution single-cell RNA sequencing technology to elucidate the cellular compositions on 21 solid tumor samples collected from 12 patients with six ovarian cancer histotypes and both primary (ovaries) and metastatic (omentum, rectum) sites. The diverse collection allowed us to deconstruct the histotypes and tumor site-specific expression patterns of cells in the tumor, and identify key marker genes and ligand-receptor pairs that are active in the ovarian tumor microenvironment. Our findings can be used in improving precision disease stratification and optimizing treatment options.
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