| Literature DB >> 31078138 |
Yu-Ling Tai1,2, Pei-Yu Chu1, Bao-Hong Lee3, Ko-Chien Chen1, Chia-Yu Yang1, Wen-Hung Kuo4, Tang-Long Shen5,6.
Abstract
Extracellular vesicle (EV)-mediated intercellular communication acts as a critical culprit in cancer development. The selective packaging of oncogenic molecules renders tumor-derived EVs capable of altering the tumor microenvironment and thereby modulating cancer developments that may contribute to drug resistance and cancer recurrence. Moreover, the molecular and functional characteristics of cancer through its development and posttreatment evolve over time. Tumor-derived EVs are profoundly involved in this process and can, therefore, provide valuable real-time information to reflect dynamic changes occurring within the body. Because they bear unique molecular profiles or signatures, tumor-derived EVs have been highlighted as valuable diagnostic and predictive biomarkers as well as novel therapeutic targets. In addition, the use of an advanced EV-based drug delivery system for cancer therapeutics has recently been emphasized in both basic and clinical studies. In this review, we highlight comprehensive aspects of tumor-derived EVs in oncogenic processes and their potential clinical applications.Entities:
Keywords: EV isolation; Extracellular vesicles; biomarker; drug delivery; exosome; homeostasis; tumor microenvironment; tumor-derived EVs
Mesh:
Year: 2019 PMID: 31078138 PMCID: PMC6511661 DOI: 10.1186/s12929-019-0533-x
Source DB: PubMed Journal: J Biomed Sci ISSN: 1021-7770 Impact factor: 8.410
Figure 1Summary of diverse bioactive molecules in tumor-derived EVs. Tumor-derived EVs are phospholipid bilayer-enclosed vesicles that contain diverse bioactive molecules. These bioactive molecules can be divided into general groups, such as nucleic acids, proteins, lipids, and metabolites. The nucleic acid group contains mutated oncogenes/ tumor suppressor genes, cell cycle-related mRNAs, and cancer-related miRNAs. The protein group can be divided into several subgroups: transmembrane proteins, growth factors, exosome biogenesis-related proteins, oncoproteins, and cytoskeletal proteins. Among members of the lipid group, cholesterol, sphingomyelin, prostaglandins, and leukotrienes can be detected in EVs. Some amino acids, pyruvate, lactate, and TCA-cycle intermediates are included in the metabolite group
Functional effects of EV cargos in cancers
| EV cargo | Type of cargo | Functional effects | Reference |
|---|---|---|---|
| Amino acids or TCA-cycle intermediates | Metabolites | Promote cancer growth | [ |
| Annexin A6 | Protein | Pre-mPremetastatic niche formation | [ |
| Integrins | Protein | Organotropic metastasis | [ |
| Lethal-7 miRNA family | miRNA | Maintain the highly metastatic tumorigenic phenotype | [ |
| MET | Protein | Pre-mPremetastatic niche formation | [ |
| miR-223 | miRNA | Enhance cancer invasion | [ |
| miR-10b and miR-21 | miRNA | Regulate cancer development | [ |
| Mitochondrial DNA | Regulate escape from dormancy in therapy-resistant cancers | [ | |
| Mutant K-Ras | Protein | Enhance three-dimensional growth of cells | [ |
| TGF-β | Protein | Promote fibroblast-myofibroblast differentiation | [ |
| Tissue factor | Protein | Regulate pro-coagulant activity of endothelial cells | [ |
Summary of common EV isolation methods
| Method | Description | Example | Yield | Purity/quality | Equipment/Cost | Approximate processing time | Commercial products | Reference |
|---|---|---|---|---|---|---|---|---|
| Ultracentrifugation-based methods | Size- or density-dependent isolation | 1. Differential centrifugation/Ultracentrifugation 2. Sucrose gradient ultracentrifugation | High | Protein aggregates and particulates contaminations | High equipment cost | 2.5 – 48 h | No commercial available | [ |
| Size-based methods | Size- or molecular weight-dependent isolation | 1. Ultrafiltration 2. Size exclusive chromatography (SEC) 3. Asymmetrical-flow field-flow fractionation (AF4) | Low (AF4) | High purity (AF4, SEC); exosomes may be deformed (ultrafiltration) | Low/moderate equipment cost (ultrafiltration and SEC ); high equipment cost (AF4) | 1 - 1.5 h (Ultrafiltration); 0.5 - 1 h (SEC); 1h (AF4) | Available, .e.g.. EVSecond column (GL Sciences) or qEV column (Izon Science) | [ |
| Immunoaffinity-based methods | Antibody-antigen interaction-dependent isolation | 1. Immunocapture 2. Immunoadsorption | Low | High purity | High reagent cost | 4 - 5 h | Available, e.g. MagaCapture™ Exosome Isolation Kit (Wako) or Exosome-Human CD9 Isolation Reagent (ThermoFisher) | [ |
| Precipitation-based methods | Solubility- or dispersibility-dependent isolation | Polyethylene glycol | Dependence | Contaminated precipitates | Low equipment cost | 1 h | Available, e.g. Total Exosome Isolation Kit (Invitrogen) or ExoQuick™ Exosome Precipitation (System Biosciences) | [ |
| Microfluidic-based methods | Size-, density-, or antibody-antigen interaction-dependent isolation | Microfluidic device with nanoporous membrane, immuno-chip, or porous silicon nanowires-on-micropillar structure | Dependence | High purity (porous nanowires-on-micropillar structure); EVs may be damaged (nanoporous membrane-based filtration) | Low/moderate equipment cost | 2 h (porous membrane-based filtration); 1.5 h (immuno-chip) | No commercial available | [ |
| Flow cytometry-based methods | Antibody-antigen interaction-dependent isolation | 1. Fluorescent-labeled antibody-based isolation 2. Immuno-magnetic-based isolation | Low | High purity | High equipment and reagent cost | 12 h | Avaialbe, e.g. Exosome Flow Cytometry Kit (Wako) | [ |
Figure 2Potential applications of tumor-derived EVs. Investigations of the specific expression patterns of mRNAs/miRNAs and transcriptomic, proteomic, and phosphoproteomic biomarkers in tumor-derived EVs, have indicated a powerful role for tumor-derived EVs in cancer diagnosis. The functional effects of tumor-derived EVs on the regulation of drug sensitivity or resistance in cancer suggest the role of tumor-derived EVs in cancer therapy. Regarding the role of EVs in immunotherapy, exosomes have been shown to modulate NK effector functional effects, reinforce the immunosuppressive function of MDSCs, and facilitate anticancer immune responses. A growing number of studies have indicated that the RGD peptide, cyclic RGDyK peptide, and CD47-modified exosomes promote the cell targeting, binding affinity, efficacy, and specificity of exosomes, suggesting the potential applications of EVs in targeted delivery. Moreover, the EV-based therapeutic drug delivery system exhibits increased biocompatibility, low toxicity, and stability
EV cargos used as diagnostic biomarkers in cancers
| EV cargo | Type of cargo | Type of body fluid | Cancer type | Reference |
|---|---|---|---|---|
| CD63 and caveolin-1 | Protein | Plasma | Melanoma | [ |
| Integrin | Protein | Plasma | Breast cancer | [ |
| miR-21 | miRNA | Serum | Esophageal squamous cell carcinoma | [ |
| miR-373 | miRNA | Serum | Breast cancer | [ |
| miRNA signatures | miRNA | Serum | Ovarian cancer | [ |
| Prostate cancer antigen 3 and | RNA | Urine | Prostate cancer | [ |
| Salivary transcriptomic biomarkers | RNA | Saliva | Pancreatic cancer | [ |
| Specific phosphoproteins | Protein | Plasma | Breast cancer | [ |
| Specific protein profile | Protein | Ascites | Colorectal cancer | [ |
| Survivin | Protein | Plasma | Prostate cancer | [ |