ReviewCancers2021
Anti-Cancer Role and Therapeutic Potential of Extracellular Vesicles.
Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 11 citations in OpenAlex.
- Plant-derived vesicle-like nanoparticles in food crops: emerging insights into nutritional biofortification and biomedical applications.Plant biotechnology journal · 2025Review
- Biogenesis and functional implications of extracellular vesicles in cancer metastasis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Review
- MSC-derived extracellular vesicles: Precision miRNA delivery for overcoming cancer therapy resistance.Regenerative therapy · 2025Review
- Exosome-based miRNA delivery: Transforming cancer treatment with mesenchymal stem cells.Regenerative therapy · 2025Review
- Glycosylation changes of vWF in circulating extracellular vesicles to predict depression.Scientific reports · 2024Article
- Harnessing exosomes as a platform for drug delivery in breast cancer: A systematic review forMolecular therapy. Oncology · 2024Review
- Role of Extracellular Vesicles in the Propagation of Lung Fibrosis in Systemic Sclerosis.Arthritis & rheumatology (Hoboken, N.J.) · 2023Article
- Molecular Docking and Intracellular Translocation of Extracellular Vesicles for Efficient Drug Delivery.International journal of molecular sciences · 2022Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Cell-cell communication is an important mechanism in biological processes. Extracellular vesicles (EVs), also referred to as exosomes, microvesicles, and prostasomes, are microvesicles secreted by a variety of cells. EVs are nanometer-scale vesicles composed of a lipid bilayer and contain biological functional molecules, such as microRNAs (miRNAs), mRNAs, and proteins. In this review, "EVs" is used as a comprehensive term for vesicles that are secreted from cells. EV research has been developing over the last four decades. Many studies have suggested that EVs play a crucial role in cell-cell communication. Importantly, EVs contribute to cancer malignancy mechanisms such as carcinogenesis, proliferation, angiogenesis, metastasis, and escape from the immune system. EVs derived from cancer cells and their microenvironments are diverse, change in nature depending on the condition. As EVs are thought to be secreted into body fluids, they have the potential to serve as diagnostic markers for liquid biopsy. In addition, cells can encapsulate functional molecules in EVs. Hence, the characteristics of EVs make them suitable for use in drug delivery systems and novel cancer treatments. In this review, the potential of EVs as anti-cancer therapeutics is discussed.
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.