ArticlePloS one2020
Cancer cell line-specific protein profiles in extracellular vesicles identified by proteomics.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 33 citations in OpenAlex.
- When EV Dose Is Not What It Seems: Quantitative Mismatch Between Particle Number- and Protein-Based Dosing.Journal of extracellular biology · 2026Article
- Decoding Brain Metastasis With Liquid Biopsy: Biomarkers and Technologies in EGFR-Mutant NSCLC.Cancer medicine · 2026Review
- Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives.Proteomics · 2026Review
- Extracellular vesicle biomarkers: current status and future perspectives as novel tools in liquid biopsy.Frontiers in immunology · 2026Review
- Clinical potential of CAR T cell-derived extracellular vesicles (CAR-EVs) in cancer therapy: a cell-free approach.Therapeutic delivery · 2025Review
- Updates on neonatal cell and novel therapeutics: Proceedings of the Second Neonatal Cell Therapies Symposium (2024).Pediatric research · 2025Article
- Proteomics in pancreatic cancer.Biomarker research · 2025Review
- Stabilizing milk-derived extracellular vesicles (mEVs) through lyophilization: a novel trehalose and tryptophan formulation for maintaining structure and Bioactivity during long-term storage.Journal of biological engineering · 2025Article
- The effect of extracellular vesicles derived from oral squamous cell carcinoma on the metabolic profile of oral fibroblasts.Frontiers in molecular biosciences · 2025Article
- Defining the Soluble and Extracellular Vesicle Protein Compartments of Plasma Using In-Depth Mass Spectrometry-Based Proteomics.Journal of proteome research · 2024Article
- Article
- Proton Compared to X-Irradiation Induces Different Protein Profiles in Oral Cancer Cells and Their Derived Extracellular Vesicles.International journal of molecular sciences · 2023Article
- The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery.Diagnostics (Basel, Switzerland) · 2022Review
- Comparative analysis of tangential flow filtration and ultracentrifugation, both combined with subsequent size exclusion chromatography, for the isolation of small extracellular vesicles.Journal of extracellular vesicles · 2022Article
- Review
- Theragnostic Applications of Mammal and Plant-Derived Extracellular Vesicles: Latest Findings, Current Technologies, and Prospects.Molecules (Basel, Switzerland) · 2022Review
- Liquid biopsies to occult brain metastasis.Molecular cancer · 2022Review
- Proteomic analysis distinguishes extracellular vesicles produced by cancerous versus healthy pancreatic organoids.Scientific reports · 2022Article
- Liposomes and Extracellular Vesicles as Drug Delivery Systems: A Comparison of Composition, Pharmacokinetics, and Functionalization.Advanced healthcare materials · 2022Review
- Extracellular vesicles and melanoma: New perspectives on tumor microenvironment and metastasis.Frontiers in cell and developmental biology · 2022Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracellular vesicles (EVs), are important for intercellular communication in both physiological and pathological processes. To explore the potential of cancer derived EVs as disease biomarkers for diagnosis, monitoring, and treatment decision, it is necessary to thoroughly characterize their biomolecular content. The aim of the study was to characterize and compare the protein content of EVs derived from three different cancer cell lines in search of a specific molecular signature, with emphasis on proteins related to the carcinogenic process. Oral squamous cell carcinoma (OSCC), pancreatic ductal adenocarcinoma (PDAC) and melanoma brain metastasis cell lines were cultured in CELLine AD1000 flasks. EVs were isolated by ultrafiltration and size-exclusion chromatography and characterized. Next, the isolated EVs underwent liquid chromatography-mass spectrometry (LC-MS) analysis for protein identification. Functional enrichment analysis was performed for a more general overview of the biological processes involved. More than 600 different proteins were identified in EVs from each particular cell line. Here, 14%, 10%, and 24% of the identified proteins were unique in OSCC, PDAC, and melanoma vesicles, respectively. A specific protein profile was discovered for each cell line, e.g., EGFR in OSCC, Muc5AC in PDAC, and FN1 in melanoma vesicles. Nevertheless, 25% of all the identified proteins were common to all cell lines. Functional enrichment analysis linked the proteins in each data set to biological processes such as "biological adhesion", "cell motility", and "cellular component biogenesis". EV proteomics discovered cancer-specific protein profiles, with proteins involved in processes promoting tumor progression. In addition, the biological processes associated to the melanoma-derived EVs were distinct from the ones linked to the EVs isolated from OSCC and PDAC. The malignancy specific biomolecular cues in EVs may have potential applications as diagnostic biomarkers and in therapy.
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