ReviewJournal of mammary gland biology and neoplasia2014
Exosomes Derived from Breast Cancer Cells, Small Trojan Horses?
Review in Journal of mammary gland biology and neoplasia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 23 citations in OpenAlex.
- Monitoring concentration and lipid signature of plasma extracellular vesicles from HRJournal of extracellular biology · 2024Article
- Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis.Journal of extracellular vesicles · 2022Article
- CD133 is an independent predictive and prognostic marker in metastatic breast cancer.Cancer biomarkers : section A of Disease markers · 2022Article
- Particulate mediators of the bystander effect linked to suicide and interferon-β transgene expression in melanoma cells.Gene therapy · 2021Article
- Extracellular vesicles from young women's breast cancer patients drive increased invasion of non-malignant cells via the Focal Adhesion Kinase pathway: a proteomic approach.Breast cancer research : BCR · 2020Observational
- Exosomes of pasteurized milk: potential pathogens of Western diseases.Journal of translational medicine · 2019Review
- Congenital Transmission ofFrontiers in microbiology · 2019Review
- Lab-on-Chip for Exosomes and Microvesicles Detection and Characterization.Sensors (Basel, Switzerland) · 2018Review
- Exosome-Mediated Transfer of Cancer Cell Resistance to Antiestrogen Drugs.Molecules (Basel, Switzerland) · 2018Article
- Nephronectin is Correlated with Poor Prognosis in Breast Cancer and Promotes Metastasis via its Integrin-Binding Motifs.Neoplasia (New York, N.Y.) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exosomes are small extracellular vesicles secreted to the extracellular environment by several cell types, including tumor cells. It has been demonstrated that exosomes have an important role in intercellular communication, but they have recently been implicated in various tumor processes, including the oncogenic transformation of cells in the tumor microenvironment, tumor drug resistance, and the transport of tumor factors. Tumors appear to use exosomes to dialogue with and transform neighboring cells to create an ideal environment for their growth and expansion. On the other hand, the structure and function of exosomes may make them useful in cancer diagnosis and prognosis, because they contain molecules that could serve as biomarkers, including oncogenes, miRNAs, and certain proteins. They have the ability to travel via body fluids, from which they could be isolated and used to transport drugs to specific targets. This review aims to provide an update on the role of exosomes derived from breast cancer cells.
Indexed as
Identifiers
What OpenQuestion holds
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.