ArticleProteomes2017
Differential Proteome Analysis of Extracellular Vesicles from Breast Cancer Cell Lines by Chaperone Affinity Enrichment.
Article in Proteomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 52 citations in OpenAlex.
- Engineered Extracellular Vesicles for Cancer Stem Cell Theranostics: Recent Advances and Future Perspectives.Stem cell reviews and reports · 2026Review
- A High-Density Microchamber Array for the Analysis of Extracellular Vesicles Derived from Single Cells under Drug Treatment.Analytical chemistry · 2026Article
- Extracellular vesicles from mouse trophoblast cells: Effects on neural progenitor cells and potential participants in the placenta-brain axis†.Biology of reproduction · 2024Article
- In-Depth Proteome Profiling of Small Extracellular Vesicles Isolated from Cancer Cell Lines and Patient Serum.Journal of proteome research · 2024Article
- Lung Cancer Cell-Derived Exosome Detection Using Electrochemical Approach towards Early Cancer Screening.International journal of molecular sciences · 2023Article
- Deciphering the Functional Status of Breast Cancers through the Analysis of Their Extracellular Vesicles.International journal of molecular sciences · 2023Review
- Small RNA sequencing analysis of peptide-affinity isolated plasma extracellular vesicles distinguishes pancreatic cancer patients from non-affected individuals.Scientific reports · 2023Article
- Rapid Activation of Neuroinflammation in Stroke: Plasma and Extracellular Vesicles Obtained on a Mobile Stroke Unit.Stroke · 2023Article
- Sequential Method for Analysis of CTCs and Exosomes from the Same Sample of Patient Blood.ACS omega · 2022Article
- Investigating the consistency of extracellular vesicle production from breast cancer subtypes using CELLine adherent bioreactors.Journal of extracellular biology · 2022Article
- The Role of Small Extracellular Vesicles in the Progression of Colorectal Cancer and Its Clinical Applications.International journal of molecular sciences · 2022Review
- Small extracellular vesicles isolation and separation: Current techniques, pending questions and clinical applications.Theranostics · 2022Review
- Column-based Technology for CD9-HPLC Immunoaffinity Isolation of Serum Extracellular Vesicles.Journal of proteome research · 2021Article
- Nanoplasmonic Sensor Approaches for Sensitive Detection of Disease-Associated Exosomes.ACS applied bio materials · 2021Review
- Cre mRNA Is Not Transferred by EVs from Endothelial and Adipose-Derived Stromal/Stem Cells during Vascular Network Formation.International journal of molecular sciences · 2021Article
- A multiparametric extraction method for Vn96-isolated plasma extracellular vesicles and cell-free DNA that enables multi-omic profiling.Scientific reports · 2021Article
- Expanding Roles of De Novo Lipogenesis in Breast Cancer.International journal of environmental research and public health · 2021Review
- Exosomal Secretion of Adipose Tissue during Various Physiological States.Pharmaceutical research · 2020Review
- Solid-phase extraction of exosomes from diverse matrices via a polyester capillary-channeled polymer (C-CP) fiber stationary phase in a spin-down tip format.Analytical and bioanalytical chemistry · 2020Article
- A robust strategy for proteomic identification of biomarkers of invasive phenotype complexed with extracellular heat shock proteins.Cell stress & chaperones · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The complexity of human tissue fluid precludes timely identification of cancer biomarkers by immunoassay or mass spectrometry. An increasingly attractive strategy is to primarily enrich extracellular vesicles (EVs) released from cancer cells in an accelerated manner compared to normal cells. The Vn96 peptide was herein employed to recover a subset of EVs released into the media from cellular models of breast cancer. Vn96 has affinity for heat shock proteins (HSPs) decorating the surface of EVs. Reflecting their cells of origin, cancer EVs displayed discrete differences from those of normal phenotype. GELFrEE LC/MS identified an extensive proteome from all three sources of EVs, the vast majority having been previously reported in the ExoCarta database. Pathway analysis of the Vn96-affinity proteome unequivocally distinguished EVs from tumorigenic cell lines (SKBR3 and MCF-7) relative to a non-tumorigenic source (MCF-10a), particularly with regard to altered metabolic enzymes, signaling, and chaperone proteins. The protein data sets provide valuable information from material shed by cultured cells. It is probable that a vast amount of biomarker identities may be collected from established and primary cell cultures using the approaches described here.
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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.