ArticlePloS one2018
Identification of grade and origin specific cell populations in serous epithelial ovarian cancer by single cell RNA-seq.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 96 papers.
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96 citing papers in PubMed.
- A Distal Super-Enhancer Regulates CD47 Expression and Promotes Macrophage-Mediated Phagocytosis of Ovarian Cancer Cells.bioRxiv : the preprint server for biology · 2026Article
- A tumor profiling resource for ovarian cancer: insights into chemotherapy-driven heterogeneity and personalized treatment strategy.Nature communications · 2026Article
- Patient-derived model capturing hypoxia and extracellular matrix remodelling of immunologically cold high-grade serous tumours.Nature communications · 2026Article
- Article
- Cisplatin resistance in an ovarian cancer model is mediated by microtubule dynamics regulator TPPP3 in synergy with tubulin code rewiring.Cell reports · 2026Article
- Single-cell transcriptomics of chicken ovarian cancer identifying immune subsets with prognostic implications.Poultry science · 2026Article
- AGPAT3 reshapes tumor cell vulnerability to IFNγ-mediated ferroptosis and enhances immunotherapy efficacy through lipid remodeling.Journal for immunotherapy of cancer · 2026Article
- S100B induces angiogenesis via the clathrin/FOXO1/β-catenin signaling pathway and contributes to Bevacizumab resistance in epithelial ovarian cancer.Journal of advanced research · 2026Article
- Fatty acid uptake mediated by FABP4 promotes the formation of CD8Oncogenesis · 2026Article
- Mesothelial cells promote peritoneal invasion and metastasis of ascites-derived ovarian cancer cells through spheroid formation.Science advances · 2026Article
- Integrative Multi-Omics Analysis Reveals Molecular Signatures of Recurrence in Paired Primary and Recurrent High-Grade Serous Ovarian Cancer.International journal of molecular sciences · 2026Article
- QeITH: Quantifies Tumor Ecosystem Heterogeneity to Predict Cancer Progression and Treatment Benefit.Computational and structural biotechnology journal · 2026Article
- Insights into the relevance of targeting fibroblasts to control cancer.Cell reports. Medicine · 2025Review
- Pan-cancer landscape of cellular senescence heterogeneity reveals associations with prognosis and therapy response.Scientific reports · 2025Article
- Integrating model systems and genomic insights to decipher mechanisms of cancer metastasis.Nature reviews. Genetics · 2025Review
- A temporal model of tumor-immune dynamics during the metastatic progression of high-grade serous ovarian cancer.NPJ precision oncology · 2025Article
- Discovering the Potential Role of the C2 DUSP2+ MCs Subgroup in Lung Adenocarcinoma.Translational oncology · 2025Article
- Molecular characterization of ovarian mesonephric-like adenocarcinoma: Insights from single-cell RNA sequencing and mitochondrial metabolism.Gynecologic oncology reports · 2025Article
- Bioinformatics-Driven Investigations of Signature Biomarkers for Triple-Negative Breast Cancer.Bioinformatics and biology insights · 2025Article
- Integrated multi-omics analysis reveals a glycolytic signature that predicts pan-cancer immune checkpoint inhibitor response and LDHA as a combinatorial target in fumarate hydratase-deficient renal cell carcinoma.Frontiers in immunology · 2025Article
36 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here we investigated different cell populations within ovarian cancer using single-cell RNA seq: fourteen samples from nine patients with differing grades (high grade, low grade and benign) as well as different origin sites (primary and metastatic tumor site, ovarian in origin and fallopian in origin). We were able to identify sixteen distinct cell populations with specific cells correlated to high grade tumors, low grade tumors, benign and one population unique to a patient with a breast cancer relapse. Furthermore the proportion of these populations changes from primary to metastatic in a shift from mainly epithelial cells to leukocytes with few cancer epithelial cells in the metastases. Differential gene expression shows myeloid lineage cells are the primary cell group expressing soluble factors in primary samples while fibroblasts do so in metastatic samples. The leukocytes that were captured did not seem to be suppressed through known pro-tumor cytokines from any of the cell populations. Single cell RNA-seq is necessary to de-tangle cellular heterogeneity for better understanding of ovarian cancer progression.
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