| Literature DB >> 31469460 |
Zhangsong Wu1,2,3, Zhiqiang Zhang2,3, Wuchao Xia3,4, Jiajia Cai3,4, Yuqing Li2,3, Song Wu1,2,3,4,5.
Abstract
Extracellular vesicles (EVs), a heterogeneous group of vesicles differing in size and shape, cargo content and function, are membrane-bound and nano-sized vesicles that could be released by nearly all variations of cells. EVs have gained considerable attention in the past decades for their functions in modulating intercellular signalling and roles as potential pools for the novel diagnostic and prognostic biomarkers, as well as therapeutic targets in several cancers including urological neoplasms. In general, human and animal cells both can release distinct types of EVs, including exosomes, microvesicles, oncosomes and large oncosomes, and apoptotic bodies, while the content of EVs can be divided into proteins, lipids and nucleic acids. However, the lack of standard methods for isolation and detection platforms rein the widespread usage in clinical applications warranted furthermore investigations in the development of reliable, specific and sensitive isolation techniques. Whether and how the EVs work has become pertinent issues. With the aid of high-throughput proteomics or genomics methods, a fully understanding of contents contained in EVs from urogenital tumours, beyond all doubt, will improve our ability to identify the complex genomic alterations in the process of cancer and, in turn, contribute to detect potential therapeutic target and then provide personalization strategy for patient.Entities:
Keywords: bladder cancer; exosomes; extracellular vesicles; kidney cancer; microvesicles; prostate cancer
Mesh:
Year: 2019 PMID: 31469460 PMCID: PMC6869217 DOI: 10.1111/cpr.12659
Source DB: PubMed Journal: Cell Prolif ISSN: 0960-7722 Impact factor: 6.831
Details of different extracellular vesicles
| Exosomes | Microvesicles | Oncosomes | Large oncosomes | Apoptotic bodies | |
|---|---|---|---|---|---|
| Size | 40‐120 nm | 50‐1500 nm | 100‐500 nm | 1‐10 μm | 50‐2000 nm |
| Intracellular origin | Endosomes | Plasma membrane | Plasma membrane | Plasma membrane | Plasma membrane |
| Electron microscopy | Round shape | Irregular shape | Irregular shape | Amoeboid phenotype | Heterogenous |
| Release | Endolysosomal pathway, internal budding, exocytosis | Membrane budding | Membrane budding | Membrane budding | Generated as a result of apoptotic disintegration, resulting vesicles become part of the extracellular milieu |
| Marker proteins |
Membrane‐associated proteins: tetraspanin (CD9, CD63, CD81, CD82). Endosomal sorting complex required for Transport‐associate protein: Tsg101, ALIX. Cytoplasmic proteins: Hsp70, Hsp90. Membrane transport and fusion proteins: Rab GTPases, annexins | Integrins, selectins, CD40 ligand | Integrins, selectins, Membrane‐associated proteins |
Integrins, selectins, VDAC ½ SLC25A3/5/6 ITGA5/6 | Histones, C3b, Annexin V, Caspase 3 |
| Contents | Proteins, lipids, mRNA, miRNA and cytosol | Proteins, lipids, mRNA, miRNA and cytosol | Proteins, lipids, mRNA, miRNA and cytosol | Proteins, lipids, mRNA, miRNA and cytosol | Proteins, lipids, DNA, rRNA, organelles and cytosol |
Abbreviations: C3b, complement component 3; HSP, heat shock proteins; ITGA5/6, human integrin alpha 5/6; miRNA, microRNA; SLC25A3/5/6, solute carrier family 25 member3/5/6; VDACs, Voltage‐dependent anion channels.
Figure 1Release and uptake mechanisms of extracellular vesicles. Extracellular vesicles can be classed as exosomes, microvesicles and apoptotic bodies, based on the mechanism by which they are released from cells and differentiated based on their size and content. MVs, and oncosomes or large oncosomes are directly shed or bud from the plasma membrane. Apoptotic bodies are released from the cell undergoing programmed cell death. Exosomes are formed by inward budding of multivesicular bodies
Figure 2The common methods to isolate EVs. Straight brackets: isolated EVs; yellow: soluble components; and blue: buffer. A, In differential centrifugation, separation is based on sedimentation velocity, largely depended by size; B, in density gradient centrifugation, separation is relied on buoyant and density; C, size exclusion chromatography uses a porous matrix (dotted circles) that separates on size; D, in ultrafiltration, separation is based on size; E, in immunocapture assays, EVs are captured based on the presence of specific EVs surface molecules. F, in precipitation, EVs isolation via adding some water‐excluding polymers to sample to force the precipitation of small EVs out. G, In microfluidic device, EVs isolation via combining several methods such as immunoaffinity and filtration systems. Copyright 2017, University of Helsinki, Frank AW Coumans31
Summary of EVs isolation techniques
| Methods | Isolation method | Isolation Principle | Advantages | Limitations |
|---|---|---|---|---|
| Centrifugation | Differential centrifugation | Sedimentation velocity |
Broad application Standardization Ease of use Reproducibility |
High equipment costs, cumbersome long run times and low portability. Time‐consuming. Recovery based on sedimentation efficiency. No absolute separation of vesicle subpopulations. Risk of contamination and formation of protein aggregates |
| Density gradient centrifugation | Buoyant density |
Lower contamination risks because proteins partition into different density layers than EVs Large sample capacity and yield Good purity and preserved morphology of isolated EVs Unlike sucrose, iodixanol forms iso‐osmotic solutions at all densities, thus better preserving the MV size |
Requires expensive ultracentrifuge Time‐consuming Sucrose toxicity might limit downstream functional studies No absolute separation of vesicle subpopulations owing to overlapping density | |
| Filtration | Ultrafiltration | Size |
Easy to use Quick technique Reproducible |
Small sample volume limitations, Protein contamination Loss of yield owing to trapping in filter pores |
| Chromatography | Size/charge |
Increases purity and integrity Suitable for isolation from complex biofluids |
Requires specialized equipment Small sample volume limitations Time‐consuming | |
| Immunoaffinity | Immunological separation | Presence of specific EVs surface molecules |
Isolation of all or specific subtypes of EVs Higher purity of EVs than with UC Possible quantification and characterization of EV protein |
Requires prior knowledge of vesicle characteristics Requires specific antibody Not suitable for large sample volumes Captured vesicles might not retain functionality after elution |
| Precipitation based | Polymeric precipitation | PEG precipitation |
High speed Simple procedure High yield |
Low purity caused by contamination Low specificity |
| Protein organic solvent precipitation | The ion‐pairing effect |
Technique overcomes the disadvantages of coextraction of proteins MV denaturation found with highspeed UC Isolation efficiency higher than that of UC |
Co‐precipitation of other non‐EV contaminants (proteins, lipoproteins and polymeric materials) Long run times, tedious sample preparation and lengthy pre– and post–clean‐up | |
| Microfluidics based | Microfluidics | Presence of specific molecules, Physical properties such as size, Microfluidic filtration |
Increases throughput and allow multiplexing Reduced cost, sample size and processing time |
Lack of standardization and clinically applicable methods Microfluidic devices can damage MVs due to shear stress There are scalability and validation issues in clinical practice Drawback of capturing only specific EV populations with IC‐based methods, and low recovery with sieving approaches |
Abbreviations: PEG, polyethylene glycol.
Techniques for extracellular vesicle detection and characterization
| Methods | Size detection range/detection limit | Size distribution | Concentration | Marker detection |
|---|---|---|---|---|
| Quantitative methods | ||||
| DLS | 1 nm‐6 μm | + | − | − |
| qNano | 70 nm‐10 μm | + | + | − |
| Qualitative methods | ||||
| Western blot and ELISA | NA | − | − | + |
| Extracellular vesicle array | NA | − | − | + |
| TEM | <1 nm | + | − | + |
| SEM | ~1 nm | + | − | + |
| Cryo‐EM | <1 nm | + | − | + |
| AFM | <1 nm | + | − | − |
| Quantitative and qualitative methods | ||||
| NTA | 50 nm‐1 μm | + | + | + |
| Conventional flow cytometry | ≥300 nm | − | + | + |
| <300 nm | − | − | + | |
| TRPS | 70 nm‐10 μm | + | + | − |
| Fluorescence high‑resolution flow cytometry | ~100 nm | − | + | + |
| μNMR system | 50‐150 nm | − | + | + |
| nPLEX assay | NA | − | + | + |
| ExoScreen | NA | − | + | + |
“+” indicates variable can be measured, “−” indicates it cannot.
Abbreviations: AFM, atomic force microscopy; Cryo‐EM, Cryo‐electron microscopy; DLS, dynamic light scattering; nPLEX, nanoplasmonic exosome; NTA, nanoparticle tracking analysis; SEM, scanning electron microscopy; TEM, transmission electron microscopy; TRPS, Tunable resistive pulse sensing; μNMR, micronuclear magnetic resonance.
Figure 3Physiological processes influenced by EVs. Extracellular vesicles are involved in most physiological processes that are associated with intercellular communication, and the content of extracellular vesicles, including mRNAs, microRNAs (miRNAs), lipids and proteins, is depicted
Candidate biomarkers for kidney cancer derived from EVs
| Source | Methodologies | End point | Type of marker | Markers | Reference |
|---|---|---|---|---|---|
| Urine | Ultracentrifugation | Diagnosis | mRNA | GSTA1, CEBPA and PCBD1 | De Palma et al |
| Urine | Density gradient ultracentrifugation | Diagnosis | Proteins | MMP‐9, PODXL, DKK4, CAIX and ceruloplasmin | Raimondo et al |
| Cancer stem cells | Ultracentrifugation, Flow cytometry immunohistochemistry | Diagnosis | Proteins | VEGF, FGF, angiopoietin 1, Ephrin‑A3, MMP‑2, MMP‑9 | Grange et al |
| RCC cells |
Centrifugation Filtration Flow cytometry Western blot ELISA | Diagnosis | Proteins | Fas ligand, Bcl2‑L‑4 | Yang et al |
| Viable human tissue |
Ultracentrifugation Mass spectrometry Western blot | Diagnosis | Proteins | Azurocidin 1 | Jingushi et al |
| Serum | Immunoaffinity magnetic beads | Diagnosis | miRNA | miR‐210 and miR‐1233 | Zhang et al |
| Serum | Total Exosome isolation kit | Prognosis | miRNA | miR‐224 | Fujii et al |
| Cancer stem cells |
Ultracentrifugation Microarray analysis qRT‑PCR | Diagnosis | miRNA | miR‑200c, miR‑92, miR‑141, miR‑19b, miR‑29a, miR‑29c, miR‑650, miR‑151 | Grange et al |
| Urine |
Centrifugation Urine exosome RNA isolation kit | Diagnosis | miRNA | miR‐126‐3p, miR‐449a, miR‐34b‐5p, miR‐486‐5p | Butz et al |
| Urine |
Ultracentrifugation Mass spectrometry | Diagnosis | Lipids | Lysophosphatidylethanolamine metabolite | Del Boccio et al |
Candidate biomarkers for bladder cancer derived from EVs
| Source | Methodologies | End point | Type of marker | Markers | Reference |
|---|---|---|---|---|---|
| BCC/urine |
Ultracentrifugation Flow cytometry In‑gel digestion Mass spectrometry | Diagnosis | Proteins | β1 and α6 integrins, CD36, CD44, CD73, CD10, MUC1, basigin, 5T4 | Welton et al |
| Urine | Ultracentrifugation | Diagnosis | Proteins | APOA1, CD5L, FGA, FGB, FGG, HPR, HP | Chen et al |
| Urine | Differential ultracentrifugation | Diagnosis Prognosis | Proteins | Alpha‐1 antitrypsin, histone H2B1K | Lin et al |
| Urine | Differential ultracentrifugation | Diagnosis | Proteins | HEXB, S100A4, SND1 | Silvers et al |
| BCC/urine |
Sucrose/D2O cushion Ultracentrifugation | Diagnosis | Proteins | EDIL‐3 | Beckham et al |
| Urine |
Ultracentrifugation In‑gel digestion Mass spectrometry | Diagnosis | Proteins | Resistin, GTPase NRas, MUC4, EPS8L1, EPS8L2, EHD4, G3BP, RAI3, GSA | Smalley et al |
| Urine |
Centrifugation Filtration Integrated double‐filtration Microfluidic device | Prognosis | Proteins | CD63 + EV signal intensity | Liang et al |
| Urine | Ultracentrifugation | Prognosis | Proteins | Periostin | Silvers et al |
| Urine |
Ultracentrifugation NanoSight microarray PCR | Diagnosis | mRNA | LASS2, GALNT1 | Perez et al |
| Urine | Differential ultracentrifugation | Diagnosis | miRNA | miR‐21‐5p | Matsuzaki et al |
| Urine |
Differential ultracentrifugation Filtration | Diagnosis Prognosis |
miRNA proteins | miR‐375, miR‐146a, apoB | Andreu et al |
| Urine |
Differential centrifugation Total exosome isolation kit | Prognosis | miRNA | miR‐141‐3p, miR‐200a‐3p, miR‐205‐5p | Baumgart et al |
| Urine | Differential ultracentrifugation | Prognosis | miRNA | miR‐940 | Long et al |
| Urine |
Nanostring miRNA assays Droplet digital PCR | Diagnosis | miRNA |
miR‐205, miR‐200c‐3p, miR‐29b‐3p; miR‐921, miR‐23b |
Ostenfeld et al Berrondo et al |
| Urine |
Centrifugation Exosome RNA isolation kit | Diagnosis | miRNA | miR‐4454, miR‐21, miR‐720 | Armstrong et al |
| Urine | Differential ultracentrifugation | Diagnosis Prognosis |
mRNA; lncRNA | HOTAIR, HOX‐AS‐2, MALAT1, SOX2, OCT4, HYMA1, LINC00477, LOC 100506688, OTX2‐AS1 | Berrondo et al |
Candidate biomarkers for prostate cancer derived from EVs
| Source | Methodologies | End point | Type of marker | Markers | Reference |
|---|---|---|---|---|---|
| Plasma |
Ultracentrifugation Western blot ELISA | Diagnosis | Proteins | Survivin | Khan et al |
| Urine | Differential ultracentrifugation Filtration | Diagnosis Prognosis | Proteins |
TGM4, ADSV, PPAP, PSA, CD63, SPHM, GLPK5 TMEM256, flotillin 2, Rab3B, PARK7, LAMTOR1 TM256, LAMTOR1, ADIRF TMEM256, flotillin 2, Rab3B, PARK7, LAMTOR1 |
Wang et al Sequeiros et al |
| Urine | Differential ultracentrifugation |
Diagnosis Prognosis | Proteins |
δ‑catenin Integrin α3, Integrin β1 FABP5 |
Liu et al Lu et al Fujita et al |
|
Tissue Urine |
Differential ultracentrifugation Filtration |
Diagnosis Prognosis | Proteins | CD63, ANXA1‐3, FASN, FOLH1, GDF15, MDR1, XPO1, TGM4, TIMP1, SFN, TMEM256, LAMTOR1, ADIRF, ITGA3, and ITGB1 | Bijnsdorp et al |
| Tissue |
Ultracentrifugation Gel filtration Chromatography, 2D‐PAGE Mass spectrometry |
Diagnosis Prognosis | Proteins | ANXA1, ANXA3, ANXA5, DDAH1 | Ronquist et al |
| Cell lines |
Ultracentrifugation Mass spectrometry Bead immuno‑isolation Western blot |
Diagnosis Prognosis | Proteins | CDCP1, CD151, CD147 | Sandvig et al |
|
Cell lines Urine |
Ultracentrifugation immunoprecipitation Western blot Electron microscopy |
Diagnosis Prognosis | Proteins |
ANXA2, CLSTN1, FASN, FLNC, FOLH1, GDF15ACPP, LTF, DDP4, TGM4, MME, PSA, SEMG1, AZGP1, ANPEP, G3BP, PSMA, TMPRSS2, FASN, LGALS3, PSCA, KLK2, KLK11, TIMP1 PDCD6IP, XPO‑1, ENO1 |
Duijvesz et al Utleg et al Principe et al |
| Plasma |
Ultracentrifugation Western blot immunofluorescence | Diagnosis | Proteins | PTEN | Gabriel et al |
| Serum | Differential centrifugation |
Predictive Monitoring | Proteins | ABCB1, ABCB4, PABPC4 | Kato et al |
|
Urine Plasma |
Differential ultracentrifugation Filtration Chromatography | Diagnosis | Proteins | Afamin, cardiotrophin‐1, CDON, endoplasmic reticulum aminopeptidase 1, FGF19, IL17RC, NAMPT, IL1RAPL2, CD226, IGFBP2, CCL16, TNFSF18, IGFBP5; Aromatic‐ | Welton et al |
| Urine |
Centrifugation Filtration Ultrafiltration |
Diagnosis Prognosis | mRNA |
PCA3, TMPRSS2‐ERG AGR2, SV‐G, AGR2 SV‐H CDH3 |
Neeb et al Donovan et al Hendriks et al Motamedinia et al Royo et al |
| Plasma/Serum/Urine |
ExoMiR extraction Filtration qRT‑PCR | Diagnosis | miRNA |
miR‑107, miR‑130b, miR‑181a‑2, miR141, miR‑301a, miR‑326, miR‑331‑3p, miR‑375, miR‑432, miR‑574‑3p, miR‑22110, miR‑625 miR‐1290, miR‐375, miR‐574‐3p, miR‐141‐5p, and miR‐21‐5p miRNA‐21, let‐7c, miR‐196a‐5p, miR‐501‐3p, miR‐19b, miR‐145 |
Samsonov et al Foj et al Bryant et al Bryzgunova et al Rodríguez et al Wani et al Xu et al |
| Urine |
Differential centrifugation Urine exosome RNA isolation kit | Diagnosis | lincRNA | lincRNA‐p21 | Işin et al |
| Urine |
Differential ultracentrifugation Filtration | Diagnosis | Lipids | Lactosylceramide, phosphatidylserine, phosphatidylglycerol, diacylglycerol, triacylglycerol |
Skotland et al Yang et al |
| Urine |
Differential ultracentrifugation Filtration | Diagnosis | Metabolites | Adenosine, glucuronate, isobutyryl‐ | Puhka et al |
| Urine | Differential ultracentrifugation | Diagnosis Prognosis | Glycomic | N‐linked glycans | Nyalwidhe et al |
Figure 4Future implements for EVs in urological cancer. EVs impact the multistep process of cancer; therefore, EVs should be a novel treatment strategy by inhibiting intercellular crosstalk. EVs could serve as promising diagnostic and prognostic biomarkers to dynamically trace the changes in cancer due to their high specificity and sensitivity. In addition, EVs have the potential functions to stably deliver substantial therapeutic cargoes liking miRNAs and siRNAs with stability, few side effects and organ specificity. Furthermore, several studies have reported the potential of EVs derived from dendritic cells used as vaccine vesicles. Copyright 2018, The Jikei University School of Medicine, Fumihiko Urabe19