ArticleJournal of ovarian research2023
Proteomic analysis of exosomes secreted during the epithelial-mesenchymal transition and potential biomarkers of mesenchymal high-grade serous ovarian carcinoma.
Article in Journal of ovarian research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Applications of Exosomes in Female Medicine: A Systematic Review of Molecular Biology, Diagnostic and Therapeutic Perspectives.International journal of molecular sciences · 2026Pooled it
- Exosome-Associated Proteins as Mediators and Biomarkers of Ovarian Cancer Dissemination.Biomolecules · 2026Review
- ARID1A deficiency reprograms the tumor secretome, enhancing microenvironmental remodeling and metastatic dissemination in endometrial carcinoma.Cell death & disease · 2026Article
- Fibronectin Is a Likely Therapeutic Target Shared by Oral and Breast Carcinomas.International journal of molecular sciences · 2026Article
- Extracellular Vesicle-Mediated Regulation of H3C14 Contributes to Gemcitabine Resistance in Bladder Cancer.Journal of extracellular vesicles · 2025Article
- Silencing of STX4 inhibits the proliferation, migration and invasion of ovarian cancer cells via EMT/MMP2/ CCND1 signaling pathway.Journal of ovarian research · 2025Article
- TGF-β-driven T-cell exclusion in ovarian cancer: single-cell and spatial transcriptomic views of immune low-response states.Frontiers in immunology · 2025Review
- Deciphering cargo contents in extracellular vesicles ofComputational and structural biotechnology journal · 2025Article
- Extracellular vesicles from ovarian cancer tumor spheroids harbor disease-related and survival-associated proteins.Extracellular vesicles and circulating nucleic acids · 2025Article
- Research progress of CTC, ctDNA, and EVs in cancer liquid biopsy.Frontiers in oncology · 2024Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundThe epithelial-mesenchymal transition (EMT) promotes cell signaling and morphology alterations, contributing to cancer progression. Exosomes, extracellular vesicles containing proteins involved in cell-cell communication, have emerged as a potential source of biomarkers for several diseases.
methodsOur aim was to assess the proteome content of exosomes secreted after EMT-induction to identify potential biomarkers for ovarian cancer classification. EMT was induced in the ovarian cancer cell line CAOV3 by treating it with EGF (10 ng/mL) for 96 h following 24 h of serum deprivation. Subsequently, exosomes were isolated from the supernatant using selective centrifugation after decellularization, and their characteristics were determined. The proteins present in the exosomes were extracted, identified, and quantified using Label-Free-Quantification (LFQ) via Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS). To identify potential biomarkers, the obtained proteomic data was integrated with the TGGA database for mRNA expression using principal component analysis and a conditional inference tree.
resultsThe exosomes derived from CAOV3 cells exhibited similar diameter and morphology, measuring approximately 150 nm, regardless of whether they were subjected to EMT stimulation or not. The proteomic analysis of proteins from CAOV3-derived exosomes revealed significant differential regulation of 157 proteins, with 100 showing upregulation and 57 downregulation upon EMT induction. Further comparison of the upregulated proteins with the TCGA transcriptomic data identified PLAU, LAMB1, COL6A1, and TGFB1 as potential biomarkers of the mesenchymal HGSOC subtype.
conclusionsThe induction of EMT, the isolation of exosomes, and the subsequent proteomic analysis highlight potential biomarkers for an aggressive ovarian cancer subtype. Further investigation into the role of these proteins is warranted to enhance our understanding of ovarian cancer outcomes.
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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.