ReviewBiochimica et biophysica acta. Reviews on cancer2017
Extracellular vesicles as emerging targets in cancer: Recent development from bench to bedside.
Review in Biochimica et biophysica acta. Reviews on cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 2 of them syntheses that pooled it.
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
102 citing papers in PubMed, 2 syntheses or guidelines pooled it, 151 citations in OpenAlex.
- Exosome-like nanoparticles derived from fruits, vegetables, and herbs: innovative strategies of therapeutic and drug delivery.Theranostics · 2024Pooled it
- The diagnostic and prognostic value of exosome-derived long non-coding RNAs in cancer patients: a meta-analysis.Clinical and experimental medicine · 2020Pooled it
- Lactate metabolic reprogramming and lactylation modification: molecular mechanisms reshaping the tumor immunosuppressive microenvironment.Cell & bioscience · 2026Review
- Article
- Plant-Derived Vesicle-like Nanoparticles for Cancer Therapy: From Drug Delivery to Combined Immunotherapy.Antioxidants (Basel, Switzerland) · 2026Review
- Extracellular vesicle-induced silver-nanoparticle aggregation (EVISA) assay for rapid measurement of EV concentration.Mikrochimica acta · 2026Article
- Review
- Nanomedicine for targeting cancer-associated fibroblasts in cancer therapy.Theranostics · 2026Review
- Plant-derived extracellular vesicles in diabetic wound healing: mechanisms, therapeutic implications and future perspectives.Journal of materials science. Materials in medicine · 2025Review
- Digital Twin for the Production of hMSC-Derived Extracellular Vesicles for Applications in Cell and Gene Therapy toward Autonomous Operation.ACS omega · 2025Article
- Extracellular vesicles in cancer immunotherapy: Therapeutic, challenges and clinical progress.Asian journal of pharmaceutical sciences · 2025Review
- Perturbed CD81 in lung-cancer-derived extracellular vesicles modifies its function in cancer pathophysiology.Molecular therapy. Oncology · 2025Article
- Cancer-derived exosomes: mediators of immune crosstalk and emerging targets for immunotherapy.Frontiers in immunology · 2025Review
- Distinct roles of small extracellular vesicles from resident and infiltrating macrophages on glioma growth and mobility.Journal of Cancer · 2025Article
- Revolutionizing medicine: Harnessing plant-derived vesicles for therapy and drug transport.Heliyon · 2024Review
- Evaluating the pro-survival potential of apoptotic bodies derived from 2D- and 3D- cultured adipose stem cells in ischaemic flaps.Journal of nanobiotechnology · 2024Article
- Gut-liver axis: Potential mechanisms of action of food-derived extracellular vesicles.Journal of extracellular vesicles · 2024Review
- Engineering exosomes to reshape the immune microenvironment in breast cancer: Molecular insights and therapeutic opportunities.Clinical and translational medicine · 2024Review
- Liquid biopsy for gastric cancer: Techniques, applications, and future directions.World journal of gastroenterology · 2024Review
- CVD phenotyping in oncologic disorders: cardio-miRNAs as a potential target to improve individual outcomes in revers cardio-oncology.Journal of translational medicine · 2024Review
42 more citing papers are in PubMed but not listed here.
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 1 institution in 1 country.
Funding
Abstract
Extracellular vesicles (EVs) have emerged as important players of cancer initiation and progression through cell-cell communication. They have been recognized as critical mediators of extracellular communications, which promote transformation, growth invasion, and drug-resistance of cancer cells. Interestingly, the secretion and uptake of EVs are regulated in a more controlled manner than previously anticipated. EVs are classified into three groups, (i) exosomes, (ii) microvesicles (MVs), and (iii) apoptotic bodies (ABs), based on their sizes and origins, and novel technologies to isolate and distinguish these EVs are evolving. The biologically functional molecules harbored in these EVs, including nucleic acids, lipids, and proteins, have been shown to induce key signaling pathways in both tumor and tumor microenvironment (TME) cells for exacerbating tumor development. While tumor cell-derived EVs are capable of reprogramming stromal cells to generate a proper tumor cell niche, stromal-derived EVs profoundly affect the growth, resistance, and stem cell properties of tumor cells. This review summarizes and discusses these reciprocal communications through EVs in different types of cancers. Further understanding of the pathophysiological roles of different EVs in tumor progression is expected to lead to the discovery of novel biomarkers in liquid biopsy and development of tumor specific therapeutics. This review will also discuss the translational aspects of EVs and therapeutic opportunities of utilizing EVs in different cancer types.
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.