ArticleOncogene2020
Single-cell EMT-related transcriptional analysis revealed intra-cluster heterogeneity of tumor cell clusters in epithelial ovarian cancer ascites.
Article in Oncogene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 46 citations in OpenAlex.
- Ex Vivo Microfluidic Model Identifies a Role for Shear Stress during Ovarian Tumor Cell Attachment to Peritoneal Mesothelial Cells.ACS biomaterials science & engineering · 2026Article
- Epigenetic modulation of CTCs as a novel therapeutic target in oncology.Molecular and cellular biochemistry · 2026Review
- Distinct origins of high-grade serous ovarian carcinoma: genetic and epigenetic evidence linking ovarian and fallopian tube epithelium to clinical outcomes and early detection.Molecular biology reports · 2025Review
- Role of tumor microenvironment in ovarian cancer metastasis and clinical advancements.Journal of translational medicine · 2025Review
- Macrophage Checkpoint Nanoimmunotherapy Has the Potential to Reduce Malignant Progression in BioengineeredACS applied bio materials · 2024Article
- Heterogeneity of primary and metastatic CAFs: From differential treatment outcomes to treatment opportunities (Review).International journal of oncology · 2024Article
- Multicellular Tumoroids for Investigating Cancer Stem-Like Cells in the Heterogeneous Tumor Microenvironment.Methods in molecular biology (Clifton, N.J.) · 2024Article
- The epithelial-mesenchymal plasticity landscape: principles of design and mechanisms of regulation.Nature reviews. Genetics · 2023Review
- Friend and foe: the regulation network of ascites components in ovarian cancer progression.Journal of cell communication and signaling · 2023Review
- An EMT-based gene signature enhances the clinical understanding and prognostic prediction of patients with ovarian cancers.Journal of ovarian research · 2023Article
- In Vitro Models of Ovarian Cancer: Bridging the Gap between Pathophysiology and Mechanistic Models.Biomolecules · 2023Review
- Role of epithelial-mesenchymal transition factor SNAI1 and its targets in ovarian cancer aggressiveness.Journal of cancer metastasis and treatment · 2023Article
- An artificial intelligence prediction model based on extracellular matrix proteins for the prognostic prediction and immunotherapeutic evaluation of ovarian serous adenocarcinoma.Frontiers in molecular biosciences · 2023Article
- Evaluation of serum CA125-Tn glycoform in peritoneal dissemination and surgical completeness of high-grade serous ovarian cancer.Journal of ovarian research · 2022Article
- Article
- Single-cell and bulk RNA sequencing reveal ligands and receptors associated with worse overall survival in serous ovarian cancer.Cell communication and signaling : CCS · 2022Article
- Detection of circulating tumor cells and evaluation of epithelial-mesenchymal transition patterns of circulating tumor cells in ovarian cancer.Translational cancer research · 2022Article
- 3D genome organization in the epithelial-mesenchymal transition spectrum.Genome biology · 2022Article
- Review
- EGFR/MET promotes hepatocellular carcinoma metastasis by stabilizing tumor cells and resisting to RTKs inhibitors in circulating tumor microemboli.Cell death & disease · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malignant ascites of epithelial ovarian cancer is a metastatic tumor microenvironment in which large amounts of disseminated single cells (DSCs) and disseminated tumor cell clusters (DTCCs) are commonly observed. The tumor cell clusters are known to be more aggressive than individual tumor cells in cancer metastasis; however, little is known about the mechanism. Applying single-cell epithelial-to-mesenchymal transition (EMT)-related transcriptional analysis in 120 DSCs and 195 intra-cluster cells from 27 DTCCs, we demonstrated that DTCCs were heterogeneous cellular units comprised of epithelial tumor cells, leukocytes, and cancer-associated fibroblasts (CAFs). Through the analysis of intra-DTCC heterogeneity, we identified that CAFs induced EMT of tumor cells via TGFβ signaling within the DTCC microenvironment. The activation of EMT program, in particular the upregulation of ZEB2, enabled the acquisition of additional chemoresistance and metastasis abilities of the intra-DTCC tumor cells, which resulted in the aggressiveness of DTCCs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.