Literature DB >> 31469460

Extracellular vesicles in urologic malignancies-Implementations for future cancer care.

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.
© 2019 The Authors. Cell Proliferation Published by John Wiley & Sons Ltd.

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


INTRODUCTION

Urogenital carcinomas are mainly leading to morbidity and mortality worldwide.1 Although therapeutic strategies (surgery, biotherapy and chemotherapy) for patients suffering from urinary cancers have improved, the curative and monitoring efficacy for these cancers still remains poor, as existing tests (general examinations and biopsies) are not a sufficiently sensitive or specific and heterogeneous peculiarity of these malignancies.2 Moreover, the deep location of urogenital cancers makes them hard to access to be diagnosed at early stages. Crosstalk between cells and their microenvironment is a fundamental principle under the normal and pathological condition.3 EVs, small membrane‐bound vesicles, serve as important players of bidirectional communication,4, 5 which released from almost eukaryotic and prokaryotic cells with transmitting complicate messages from donor cells towards anchored cells, and have been discovered in various types of body fluids including urine, blood and bile.6 According to the ways of production and secretion, EVs are produced by inward budding of intercellular endosomes, which are defined as exosomes (40‐1200 nm), EVs straightly shed by budding from the cell membrane, which are almost recognized as large oncosomes or microvesicles, with 1‐10 μm or 50‐1500 nm, and apoptotic vesicles are released during cell undergoing apoptosis ranged from 50 to 2000 nm, respectively.7, 8, 9 Extracellular vesicles serve as an appealing source for the development of biomarkers as their membrane‐bound structure to protect against exogenous proteases and RNases.10, 11 The biological function of EVs is performed by cytosolic lipids, proteins, DNA, mRNA, miRNA, lincRNA and other non‐coding RNAs, as well as cell membrane.12 In addition, cancer cell releases more EVs than that normal one does.13 Herein, we introduce EVs briefly and provide a comprehensive overview of their biophysical properties, roles and applications in the most common urologic neoplasms, including kidney, prostate and bladder, and discuss potential clinical applications in the future.

EV CLASSES, BIOGENESIS AND CONTENTS

Our current understanding of EVs indicates that at least four heterogeneous types of EVs have been identified based on their mechanism of formation and distinguished size: microvesicles, exosomes, oncosomes or large oncosomes, and apoptotic bodies (Table 1). In general, the formation of exosomes and microvesicles is two completely different approaches, but they function similarly. Oncosomes or large oncosomes resemble the way of microvesicles via membrane budding. Apoptotic bodies specifically arise resulting in indiscriminate membrane bubbling during apoptosis (Figure 1).
Table 1

Details of different extracellular vesicles

 ExosomesMicrovesiclesOncosomesLarge oncosomesApoptotic bodies
Size40‐120 nm50‐1500 nm100‐500 nm1‐10 μm50‐2000 nm
Intracellular originEndosomesPlasma membranePlasma membranePlasma membranePlasma membrane
Electron microscopyRound shapeIrregular shapeIrregular shapeAmoeboid phenotypeHeterogenous
ReleaseEndolysosomal pathway, internal budding, exocytosisMembrane buddingMembrane buddingMembrane buddingGenerated 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 ligandIntegrins, selectins, Membrane‐associated proteins

Integrins, selectins, VDAC ½

SLC25A3/5/6

ITGA5/6

Histones, C3b, Annexin V, Caspase 3
ContentsProteins, lipids, mRNA, miRNA and cytosolProteins, lipids, mRNA, miRNA and cytosolProteins, lipids, mRNA, miRNA and cytosolProteins, lipids, mRNA, miRNA and cytosolProteins, 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 1

Release 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

Details of different extracellular vesicles 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, VDAC ½ SLC25A3/5/6 ITGA5/6 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. Release 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 Exosomes generally form an early endosome by the endocytosis and internalization of cell‐surface receptors into membrane‐bound vacuoles in the first step,14 which then matures to generate a late endosome within undergoing several changes, such as the limiting membrane of the late endosome then buds inward and pinches off as the result of the formation of intraluminal vesicles (ILVs), also known as multivesicular bodies, and ILVs traffick to and fuse with the plasma membrane leading in releasing exosomes eventually.15 ESCRT‐0‐III plays significant roles in driving exosome formation16, 17; in addition, multivesicular bodies could intermediate in the lysosomal degradation pathway.18 However, the mechanisms related to the fusion of multivesicular bodies with the cellular membrane are uncovered, which may be regulated by several factors including lipid ceramide and Rab GTPase (including Rab5 and Rab7) proteins and ESCRT.19, 20, 21 Numerous literatures have indicated that several biomarkers expressed in the exosome differentially compared with another types of EVs, including heat shock proteins (eg HSP60, 70 and 90), tetraspanins (eg CD9, CD63 and CD81), membrane transporters, fusion proteins, ALG‐2‐interacting protein X (Alix) and tumour susceptibility gene 101 protein (TSG101).20, 22 In contrast, microvesicles with nano‐sized with 100‐1500 nm are straightforwardly shed from the cellular membrane responding to stimuli or physiological conditions.23 It is believed that ADP ribosylation factor 6 (ARF6) can meditate the freeing of protease‐loaded vesicles from the cellular membrane due to the crosstalk with Rho signalling pathways.24, 25, 26 Moreover, microvesicles are specifically produced in the cellular membrane regions that are linked to be enriched in cholesterol, ceramide and lipid rafts.27 TSG101 is also known to interact with accessory proteins Alix and arresting domain‐containing protein‐1 (ARRDC1) during releasing microvesicles, illustrating that microvesicles sharing some same characteristics with exosomal biogenesis.28 As described for microvesicles, oncosomes and large oncosomes are generated by plasma membrane budding, with amoeboid‐like phenotype. Notably, oncosomes and large oncosomes specially derived from cancerous cells are indicated to play vital roles in malignancies invasion. The term “oncosome” is firstly referred that the EVs with size range from 100 to 500 nm. Subsequently, large non‐apoptotic EVs were detected in prostate tumours with their unusual size in 1‐10 mm, called large oncosomes. Currently, some studies demonstrate that oncosomes and large oncosomes are definitely different variety of EVs respecting to their size, cargo contents and target effects, and additional studies are therefore of the essence to clarify differences between oncosomes and large oncosomes. Apoptotic bodies, imposing an effect on the cellular response by transmitting their substance towards receptor cells, are generated during undergoing programmed cell death with 500‐4000 nm, and their content contains fragmented cytoplasmic organelles as well as destructive nuclei.29, 30

ISOLATION TECHNIQUES OF EVS

No remarkable consensus is in existence of the best approach for isolation, qualitative and quantitative analysis of EVs. There are listing several methods for the isolation of EVs (Figure 2) and demonstrate the available disadvantages and advantages as well (Table 2).31
Figure 2

The 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

Table 2

Summary of EVs isolation techniques

MethodsIsolation methodIsolation PrincipleAdvantagesLimitations
CentrifugationDifferential centrifugationSedimentation 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 centrifugationBuoyant 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

FiltrationUltrafiltrationSize

Easy to use

Quick technique

Reproducible

Small sample volume limitations,

Protein contamination

Loss of yield owing to trapping in filter pores

ChromatographySize/charge

Increases purity and integrity

Suitable for isolation from complex biofluids

Requires specialized equipment

Small sample volume limitations

Time‐consuming

ImmunoaffinityImmunological separationPresence 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 basedPolymeric precipitationPEG precipitation

High speed

Simple procedure

High yield

Low purity caused by contamination

Low specificity

Protein organic solvent precipitationThe 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 basedMicrofluidicsPresence 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.

The 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 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 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 Easy to use Quick technique Reproducible Small sample volume limitations, Protein contamination Loss of yield owing to trapping in filter pores Increases purity and integrity Suitable for isolation from complex biofluids Requires specialized equipment Small sample volume limitations Time‐consuming 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 High speed Simple procedure High yield Low purity caused by contamination Low specificity 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 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.

CENTRIFUGATION

In recent, differential centrifugation is the most common technique in responding to isolating EVs, and this approach is consisting of three main centrifugation processes: low speed to eliminate a main portion of the cells, then intermediate speed to subside cell debris and aggregate biopolymers and the other structures with density higher than that of EVs and finally high speed to pellet extracellular vesicles. The advent of density gradient ultracentrifugation increases the efficiency of particle separation according to their buoyant density. However, an important disadvantage of differential centrifugation cannot thoroughly separate protein and other non‐exosomal particles from EVs, limiting its efficacy and usage in clinical studies for diagnosis, to large extent, the advent of density gradient ultracentrifugation that reverses the poor separation efficiency due to their buoyant density, and it is frequently used for EV isolation though with a considerable loss of EVs.31, 32

FILTRATION

Due to the micropores or nanopores, EVs can also be isolated by numerous protocols (eg ultrafiltration and hydrostatic dialysis). Ultrafiltration is currently available method used for EV isolation, which represents an efficient alternative to ultracentrifugation. It involves the use of membrane filters with a narrow range of pore size distribution to deplete the proteins with molecular weight over 100 kDa, cell debris and floating cells. However, the size of filters is especially suitable for cell culture media and urine samples, which limit their applications to clinical routine tests. Hydrostatic filtration dialysis (HFD), another approach developed for isolating EVs from urine samples, shows its advantages on the removal of ultracentrifugation via multiple steps and the possibility of isolating EVs from highly diluted solutions. Gel filtration, also called size exclusion chromatography, is one of the methods to collect EVs based on the basis of the size differences, and the disadvantages of this method are its low yield and rather expensive chromatographic sorbent.33, 34

PRECIPITATION METHODS

The current research provides numerous protocols for EV isolation via adding some water‐excluding polymers to sample, and subsequently force the precipitation of small EVs out, its time‐saving and easy usage make it suitable for clinical use, though show unavoidable contamination of the isolated EVs with proteins, protein complexes, lipoproteins and nucleoproteins, as well as viral and other particles.35, 36 There are several polymer kits available that have already applied for purifying the EVs, such as hydrophilic polymers, protamine, sodium acetate and proteins with organic solvent (PROSPR) with along their disadvantages and advantages demonstrating in Table 2.

IMMUNOAFFINITY ISOLATION METHODS

Immunoaffinity isolation is another approach to isolate the EVs with increasing purity, owing to selectively exploiting the presence of specific molecules in the small EV surface37; for example, the lipids, proteins and polysaccharides are common substances that exposed on the surface of EVs, as a result, showing potency in being ligands for manifold molecules. Generally, there are five main methods for the isolation of EVs based on immunoaffinity, including antibodies to EV receptors,38 phosphatidylserine‐binding proteins,39 heparin‐modified sorbents40 and binding of heat shock proteins,34 as well as lectins.41 Although along with evident advantages of the EV purified isolation, the expensive costs, and the insufficient efficiency of isolation, and difficulties encountering in the process of isolation the large volumes of EVs, which substantially limits the applicability of immunoaffinity isolation methods.

MICROFLUIDIC DEVICES

Microfluidic devices are composed of a network of microchannels with different sizes, which have been implicated for EV isolation from cell culture and various tissue fluids on the basis of the immunoaffinity principle, as well as systems. However, some issues are yet to be removed; for instance, the inputted sample shows great possibility to block channels and the efficacy of isolation of EVs is extremely slow, consequently, decreasing their diagnostic potential,38 and overcome some of the challenges involving in EVs detection, such as the problem of the small size and lacking in distinct biomarkers, which contributing to get a comprehensive understanding function of their contents (eg protein, RNA and lipid). Several qualitative and quantitative analysis techniques are currently available (Table 3). For instance, transmission electron microscopy (TEM) could be combined with immunogold staining to represent structural details and delineate the subpopulations of EVs.42 A study indicates that cryo‐electron microscopy might be more suitable for depicting the morphology of EVs as its no fixation or staining.43 The size, morphology and intactness of EVs also could be determined by scanning electron microscopy (SEM) and atomic force microscopy (AFM).44 Measuring the size and number distribution of single EVs can be made by dynamic light scattering (DLS) and nanoparticle tracking analysis (NTA).45 Both the conventional flow cytometry and novel fluorescence‐based flow cytometry could be promising tools to qualitatively and quantitatively analyse the EVs.46 Western blot, enzyme‐linked immunosorbent assay (ELISA) and EVs arrays are used to present purity and enrichment. Micronuclear magnetic resonance [μNMR] system and a photosensitizer‐bead detection system (ExoScreen) are other sensitive qualitative and quantitative approaches.47, 48, 49
Table 3

Techniques for extracellular vesicle detection and characterization

MethodsSize detection range/detection limitSize distributionConcentrationMarker detection
Quantitative methods
DLS1 nm‐6 μm+
qNano70 nm‐10 μm++
Qualitative methods
Western blot and ELISANA+
Extracellular vesicle arrayNA+
TEM<1 nm++
SEM~1 nm++
Cryo‐EM<1 nm++
AFM<1 nm+
Quantitative and qualitative methods
NTA50 nm‐1 μm+++
Conventional flow cytometry≥300 nm++
<300 nm+
TRPS70 nm‐10 μm++
Fluorescence high‑resolution flow cytometry~100 nm++
μNMR system50‐150 nm++
nPLEX assayNA++
ExoScreenNA++

“+” 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.

Techniques for extracellular vesicle detection and characterization “+” 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. As mentioned above (Table 2), each type of isolation approach has intrinsic advantages and restrictions with respect to cost‐efficacy, complexity, purity, yield and functionality of the EVs. In urological neoplasms similarly, one of the current challenges is how to develop the sensitive detection platforms and robust and remarkable isolation techniques, with promising potency in the identification of EVs and their subpopulations to trigger reliable prognosis and precise prediction of treatment response, or to provide novel neoplasm grading and staging via analysing of easier accessible and minimal‐invasive body fluids. Therefore, many standards should be established to develop such interesting EVs isolation and capture tools. Initially, it is highlighted that the optimal specimen pools should be determined, such as give priority to the sample safety and accessibility, target EVs quantity, and simple and convenient manoeuvrability, especially urine for urogenital tumours; second, the preservation conditions such as temperature, time and additives should be standardized because the quantity and variation of EVs could diminish differential preservation conditions, consequentially giving rise to the deflection of results but also difficulty in continued supervision of cancer development; and third, promising isolation and detection techniques that satisfy the clinical application in a hospital setting should be established.

GENERAL FUNCTIONS OF EVS IN MALIGNANCIES

Bioactive molecules of EVs secreted by both cancer cells and tumour‐associated cells provide the essential signals for favouring tumour growth via remodelling the architectures in tumour microenvironments and forming pre‐metastatic niches. Different mechanisms of EVs‐mediated tumour proliferation and progression will be discussed in the following sections (Figure 3).
Figure 3

Physiological 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

Physiological 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

PROMOTION OF ANGIOGENESIS

Tumour progression is a dynamic and multistep process requiring continuous nutrient and oxygen supplied by sufficient blood conducts, while also serving to remove waste materials. The advent of cancer stem cells (CSCs) has provided a novel mechanism for the development and progression of the tumour via differentiating into endothelial cells to contribute to the angiogenesis.50, 51 In addition, a research indicates, for example, that miRNAs, secreted from exosomes, regulate transcription, proliferation, metabolic processing and mRNAs encode vascular endothelial growth factor (VEGF), fibroblast growth factor (FGF), angiopoietin1, Ephrin A3, matrix metalloproteinase‐2 (MMP‐2), and MMP‐9 and growth factors in contrast to CD105‐negative CSCs.19

EPITHELIAL‐TO‐MESENCHYMAL TRANSITION

Epithelial‐to‐mesenchymal transition (EMT) is a developmentally vital reversible process of which fully differentiated cells lose their epithelial features (eg E‐cadherin, β‐catenin and plakoglobin), acquiring a migratory mesenchymal phenotype (eg N‐cadherin and vimentin). EMT also contributes to the metastatic potential of tumours.52 Exosome mediates that growth in migration and invasion by the way of EMT has been observed in many other studies.53, 54, 55 Urothelial cells exhibit the EMT after exposing to tumour‐derived exosomes.56

FORMATION OF PRE‐METASTATIC NICHES

Primary tumours can release some biological factors that migrate to preferred metastatic regions and dynamically remodel these sites before spreading to a distant organ, which means that form predetermined metastatic microenvironments, also referred to as pre‐metastatic niches.57 In general, exosomes display the characteristics of organ tropism, and the process of the construction of pre‐metastatic niche involves with initial tumour‐derived exosomes releasing into the circulation system and then escaping from the vascular beds to migrate to distant secondary organ.58, 59 During the process, the crucial initial step is how vascular leaking exosomes can target organ tissues; nowadays, it is induced by complicated processes involved combination of stromal cells and released cancer cell‐derived exosomes resulting in reprogramming of these cells60, 61, 62, 63 and activation of several vital signalling pathways,64, 65 which alter the local chemokine repertoire of the tumour microenvironment (TME) and remodel the components of the extracellular matrix (ECM) in turns.61, 62, 66 Moreover, the vast researches indicate that there are exerting cooperations between bone marrow‐derived cells and exosomes in the primary phase of pre‐metastatic niche that can stimulate the mobilization of these cells into the circulatory system circulation and disseminate to distant sites, sequentially generate a local pro‐inflammatory focus with pro‐tumorigenic immunosuppression.60, 61, 62

MODULATION OF THE TUMOUR MICROENVIRONMENT

Accumulating evidence support tumour progression is the consequence of communication between tumour cells and cells within the tumour microenvironment via paracrine or autocrine, such as adipocytes, fibroblasts, immune cells and cells of the vascular. It has been shown that tumour cells have a higher propensity to secrete larger quantity of exosome67, 68; for instance, cancer‐associated fibroblasts (CAFs) support tumour cells in proliferation, delaying senescence and resisting against drugs, which induced by exosome‐secreted miR‐9 and the human telomerase reverse transcriptase (hTERT).69, 70 Activation of signalling pathways by exosomes is one of the way to modulate the tumour microenvironment, such as irritation of the TGF‐β/Smad pathway by transferring TGF‐β to human umbilical cord‐derived mesenchymal cells (hucMSCs), subsequently differentiating into CAFs.71 Moreover, recent research shows that transferring TGF‐β also contributes fibroblasts converse to myofibroblasts, which could secrete insulin‐like growth factor 1 (IGF‐1), activin A and VEGF to induce tumour progression.72 The irritation of another signalling pathway by exosomes in the bidirectional crosstalk between cancer cells and normal stromal cells, such as nuclear factor kappa B (NF‐κB) and epidermal growth factor receptor (EGFR) signalling, also plays vital roles in the proliferation and migration of tumour. Endothelial cells show enhanced cell motility and tube formation ability after re‐educated by tumour‐derived exosomes73; moreover, RNA secreted from EVs develops hepatocyte growth factor synthesis through the activation of ERK1/2 and AKT signalling pathways.74 It is widely believed that tumour‐derived EVs impose significant effects in mediating communication between immune and cancer cells of renal cell cancer (RCC),75 such as immune evasion of tumours.76, 77 MiR‐222‐3p induces polarization of tumour‐associated macrophages by the activation of SOCS3/STAT3 pathway to facilitate tumourigenesis and cancer progression.78 Additionally, Rab27a supports exosome could modify the tumour microenvironment via advancing recruitment and differentiation of bone marrow‐derived neutrophils to cancer cells.79 Furthermore, a few studies suggest that tumour‐derived EVs facilitate cancer progression by attenuating immune and more specific EVs could diminish the cytotoxicity of natural killer cells and T cell in immunoreaction.80, 81, 82 Tumour‐derived EVs also could influence the cancer cells themselves via autocrine to irritate the invasion and migration, and reduce adhesion abilities as well via enhancing MMP‐9 or chemokine receptor type 4 (CXCR4).74

MANAGEMENT OF UROLOGIC MALIGNANCIES

In the past several decades, although with the increasing development of renewable treatments for urological tumours, for instance chemotherapies and molecular targeted therapies and renowned immunotherapies, the prognosis remains poor. Recently, sufficient researches on EVs in urinary tumours provide a deeper understanding of biogenesis and pathogenesis and might be offered underlying therapeutic targets in urologic cancers. Herein, we review the current published research on EV for commonly urogenital carcinomas including bladder cancer (BCa), kidney cancer (RCC) and prostate cancer (PCa).

KIDNEY CANCER (RENAL CELL CANCER)

Renal cell cancers (RCCs) represent 2%‐3% of all cancers.83, 84 Many kidney cancers remain asymptomatic until the late disease stages with 50% of patients are detected incidentally by non‐invasive imaging investigating, and approximately 30% of patients with metastasis in the primary time of diagnosis.85, 86 The utility of urinary EVs could be recognized as potential diagnostic and prognostic markers in RCCs (Table 4).87 Proteomic analysis of urinary EVs differs from the patients and healthy groups with showing an RCC‐specific signature of the effectiveness of proteins.58, 88 Another proteins, for instance, podocalyxin (PODXL), WNT signalling pathway inhibitor 4 (DKK4), ceruloplasmin, carbonic anhydrase IX (CAIX) and MMP‐9, were validated by using immunoblotting method.89 In addition, among RCC patients, the mRNA levels of glutathione S‐transferase alpha 1 (GSTA1), CCAAT enhancer binding protein alpha (CEBPA) and PCBD1 in EVs decrease compared with healthy groups.90 Moreover, a report demonstrates that the lipids within urinary EV show difference between RCC patients and healthy groups.91 Based on microRNA expression screening, the cluster of miRNAs including miR‐449a, miR‐126‐3p, miR‐486‐5p and miR‐34b‐5p could differentiate clear cell RCCs from benign subjects92 and could be recognized as potential diagnostic and prognostic markers.58, 93, 94 Serum‐derived EVs have also been recognized as prominently diagnostic and prognostic tools for clear cell RCCs.93, 94 Recently, azurocidin as a permeabilizer for vascular endothelial cells has been isolated from serum‐free medium within incubating clear cell RCC tissues samples.95
Table 4

Candidate biomarkers for kidney cancer derived from EVs

SourceMethodologiesEnd pointType of markerMarkersReference
UrineUltracentrifugationDiagnosismRNAGSTA1, CEBPA and PCBD1De Palma et al89
UrineDensity gradient ultracentrifugationDiagnosisProteinsMMP‐9, PODXL, DKK4, CAIX and ceruloplasminRaimondo et al88
Cancer stem cellsUltracentrifugation, Flow cytometry immunohistochemistryDiagnosisProteinsVEGF, FGF, angiopoietin 1, Ephrin‑A3, MMP‑2, MMP‑9Grange et al57
RCC cells

Centrifugation

Filtration

Flow cytometry

Western blot

ELISA

DiagnosisProteinsFas ligand, Bcl2‑L‑4Yang et al87
Viable human tissue

Ultracentrifugation

Mass spectrometry

Western blot

DiagnosisProteinsAzurocidin 1Jingushi et al93
SerumImmunoaffinity magnetic beadsDiagnosismiRNAmiR‐210 and miR‐1233Zhang et al92
SerumTotal Exosome isolation kitPrognosismiRNAmiR‐224Fujii et al93
Cancer stem cells

Ultracentrifugation

Microarray analysis

qRT‑PCR

DiagnosismiRNAmiR‑200c, miR‑92, miR‑141, miR‑19b, miR‑29a, miR‑29c, miR‑650, miR‑151Grange et al94
Urine

Centrifugation

Urine exosome RNA isolation kit

DiagnosismiRNAmiR‐126‐3p, miR‐449a, miR‐34b‐5p, miR‐486‐5pButz et al91
Urine

Ultracentrifugation

Mass spectrometry

DiagnosisLipidsLysophosphatidylethanolamine metaboliteDel Boccio et al90
Candidate biomarkers for kidney cancer derived from EVs Centrifugation Filtration Flow cytometry Western blot ELISA Ultracentrifugation Mass spectrometry Western blot Ultracentrifugation Microarray analysis qRT‑PCR Centrifugation Urine exosome RNA isolation kit Ultracentrifugation Mass spectrometry Renal cell cancers generate EVs that could educate endothelial95 and immune cells,96 with promoting angiogenesis and immunosuppressive activity, respectively. As for immune systems, increasing evidence shows that tumour‐derived EVs result in immune evasion of tumours partly via the activation of caspase pathway to trigger apoptosis in T lymphocytes.97 In addition, both EVs‐derived antigens and Hsp70 can inhabit the immunoreaction though induction tumour growth factors of and pro‐inflammatory cytokines similarly.98, 99 Moreover, EVs also can be applied for cancer immunotherapy, mainly due to promoting cytotoxic effects and proliferation of T cells via releasing interferons.100 Furthermore, RCCs also could secrete EVs to interact with endothelial cells to promote lymphopoiesis and angiogenesis and thereby metastasis. A study shows that EVs derived from RCC cell line (eg 786‐O) increase the expression of vascular endothelial growth factor in human umbilical vein endothelial cells (HUVECs) with resulting in tubular formation of HUVECs,97 involving the downregulation of hepatocyte cell adhesion molecule by upregulating phosphorylated AKT in RCCs.101 What is more, CD105+ stem cells of RCC release EVs that promote and trigger the formation of a pre‐metastatic niche by upregulating MMP2 and VEGF58, 102; although sunitinib is a first‐line targeted regimen for metastatic RCCs,103 its efficacy of biotherapy for the long time is controversial in respect to drug resistance, which has been confirmed that regulated by lncARSR by promoting MET and AXL expression in RCC cells.104, 105 Therefore, all those support that EV‐based targets display a promising potency for the development of novel cancer therapies. EVs also can be served as a vaccine for RCCs. A report reveals that RCCs derived from EVs could increase immunogenicity by proliferating T cells and releasing interferons subsequently100; the effectiveness of vaccines when dendritic cells (DCs) load with EVs is higher rather than whole tumour lysate.98

THE BLADDER CANCER

Bladder cancer (BCa) is the seventh most commonly diagnosed cancer in the male population worldwide, and the diagnosis for BCa is usually on the basis of cytology, urinalysis and cystoscopy. Cytology is a highly specific test, but low in the sensitivity for the diagnosis of BCa.106 Cystoscopy is the gold standard to diagnose the BCa, while this method is expensive and invasive, even for flexible cystoscopy, and the risk of developing urinary infections is up to 10%107; non‐invasive and reliable biomarkers are therefore required in the future. Given that, urine is an excellently suitable fluid for biomarkers discovery in BCa. The biomarkers (mainly including proteins, mRNA, lncRNA and miRNA) within EVs isolated from BCa were investigated by different research groups, which could be promising molecules to identify the BCa and predict the progression of the BCa (Table 5). Based on proteomic analysis of urinary EVs, several studies have been identified cargoes of possible biomarkers for BC patient, but not in healthy volunteers.108, 109 Among them, research shows that the levels of tumour‐associated calcium‐signal transducer 2 (TACSTD2) are correlative with BCa, compared with high‐grade BCa. The author identified seven proteins differentially expressed in the low‐risk group (Table 5).109 Proteome profiling of urinary exosomes indicates H2B1K and alpha 1‐antitrypsin as prognostic and diagnostic biomarkers for urothelial bladder cancer, which could be verified in immunohistochemistry (IHC).110 Additionally, HEXB, S100A4 and SND1 significantly identified in EV derived from the MIBC cell line also are upregulating in urinary EV from MIBC patients when vs to normal groups.111 There are other proteins could be recognized as potential diagnostic and prognostic markers for BCa.112, 113, 114, 115 Using a whole transcriptome array, a study reports the potential application of mRNAs in urinary EVs for diagnoses, such as LASS2 and GALT1 involving progression with only in BCa patients, and ARHGEF39 and FOXO3 while only expressing in healthy controls to suppress the tumour.116 In addition, based on the microarray analysis of miRNA, great studies pay their attention on the roles of diagnostic and prognostic.117, 118, 119, 120, 121 Interestingly, research shows that several microRNAs from urinary EVs significantly upregulate in BCa, but not in plasma from same patients, which suggests that different biofluids may harbour different molecules.122
Table 5

Candidate biomarkers for bladder cancer derived from EVs

SourceMethodologiesEnd pointType of markerMarkersReference
BCC/urine

Ultracentrifugation

Flow cytometry

In‑gel digestion

Mass spectrometry

DiagnosisProteinsβ1 and α6 integrins, CD36, CD44, CD73, CD10, MUC1, basigin, 5T4Welton et al107
UrineUltracentrifugationDiagnosisProteinsAPOA1, CD5L, FGA, FGB, FGG, HPR, HPChen et al108
UrineDifferential ultracentrifugationDiagnosis PrognosisProteinsAlpha‐1 antitrypsin, histone H2B1KLin et al109
UrineDifferential ultracentrifugationDiagnosisProteinsHEXB, S100A4, SND1Silvers et al110
BCC/urine

Sucrose/D2O cushion

Ultracentrifugation

DiagnosisProteinsEDIL‐3Beckham et al111
Urine

Ultracentrifugation

In‑gel digestion

Mass spectrometry

DiagnosisProteinsResistin, GTPase NRas, MUC4, EPS8L1, EPS8L2, EHD4, G3BP, RAI3, GSASmalley et al112
Urine

Centrifugation

Filtration

Integrated double‐filtration

Microfluidic device

PrognosisProteinsCD63 + EV signal intensityLiang et al113
UrineUltracentrifugationPrognosisProteinsPeriostinSilvers et al114
Urine

Ultracentrifugation

NanoSight

microarray

PCR

DiagnosismRNALASS2, GALNT1Perez et al115
UrineDifferential ultracentrifugationDiagnosismiRNAmiR‐21‐5pMatsuzaki et al116
Urine

Differential ultracentrifugation

Filtration

Diagnosis Prognosis

miRNA

proteins

miR‐375, miR‐146a, apoBAndreu et al117
Urine

Differential centrifugation

Total exosome

isolation kit

PrognosismiRNAmiR‐141‐3p, miR‐200a‐3p, miR‐205‐5pBaumgart et al118
UrineDifferential ultracentrifugationPrognosismiRNAmiR‐940Long et al119
Urine

Nanostring miRNA assays

Droplet digital

PCR

DiagnosismiRNA

miR‐205,

miR‐200c‐3p, miR‐29b‐3p; miR‐921, miR‐23b

Ostenfeld et al120

Berrondo et al122

Urine

Centrifugation

Exosome RNA

isolation kit

DiagnosismiRNAmiR‐4454, miR‐21, miR‐720Armstrong et al121
UrineDifferential ultracentrifugationDiagnosis Prognosis

mRNA;

lncRNA

HOTAIR, HOX‐AS‐2, MALAT1, SOX2, OCT4, HYMA1, LINC00477, LOC 100506688, OTX2‐AS1Berrondo et al122
Candidate biomarkers for bladder cancer derived from EVs Ultracentrifugation Flow cytometry In‑gel digestion Mass spectrometry Sucrose/D2O cushion Ultracentrifugation Ultracentrifugation In‑gel digestion Mass spectrometry Centrifugation Filtration Integrated double‐filtration Microfluidic device Ultracentrifugation NanoSight microarray PCR Differential ultracentrifugation Filtration miRNA proteins Differential centrifugation Total exosome isolation kit Nanostring miRNA assays Droplet digital PCR miR‐205, miR‐200c‐3p, miR‐29b‐3p; miR‐921, miR‐23b Ostenfeld et al120 Berrondo et al122 Centrifugation Exosome RNA isolation kit mRNA; lncRNA Furthermore, to unravel the roles of lncRNA in BCa, recent researches show that lncRNAs, such as HOX‐AS‐2, HOTAIR, ANRIL and lnc‐RoR, are enriched in BCs cancer cell line EVs as well as urinary EVs from high‐grade BCa patients, demonstrating that lncRNAs have potential as biomarkers for BCa.123 Additionally, recent reports demonstrate that the CD63+ urinary EVs could be a biomarker for the detection of BCa.114, 124 EVs derived from BCa cell line also influence local regions microenvironments or distant cells by transferring their content, as result of facilitating proliferation, angiogenesis, invasion, and migration and the inhibition of apoptosis56, 112, 125; for example, EGF‐like repeat and discoidin I‐like domain‐containing protein 3 (EDIL‑3) from invasive BCa cell lines could stimulate the migration and angiogenesis of urothelial and endothelial cells.112 Periostin, another factor from invasive BCa cell lines, could contribute low‐grade BCa cancer cells to gain the aggressiveness within via activating ERK oncogenic pathway.115 Urothelial cells exposed to EVs from cancer cell lines or patient specimen show the phenomena of EMT.56 Similarly, lncRNA‐UCA1, which may be play an important role in causing intratumoural hypoxia, could irritate tumour progression via the EMT as well.126 However, exosomes also can discard tumour‐suppressive miRNAs contributed to BCa progression, such as miR‐23b and miR‐921,121 all those could provide underlying targets for the future therapies for the BCa. Recently, a report demonstrates the effectiveness of EVs as a vector to carry siRNAs in BCa; therefore, in the future, EVs have the potential functions to stably deliver substantial therapeutic cargoes including miRNAs and siRNAs, to anchor organs with the development of tissue engineering technology.127

PROSTATE CANCER

Prostate cancer (PCa) is the second most commonly diagnosed cancer in men, accounting for 15% of all cancers diagnosed.128 Although PSA testing contributes to identify and manage PCa in the early phase, it still has some limitations, for example, the specificity of discrimination of benign prostate diseases, such as acute prostatitis and benign hyperplasia.129 Thus, the more specific and ideal substrate (eg urine, prostatic plasmas and blood samples) for PCa are urgently developed rather than invasive prostate biopsies.130 Some studies have presented the usefulness of urinary EVs as diagnostic factors (Table 6).131, 132, 133, 134 EV‐involved transmembrane proteins CD63 and CD9 are sufficient in urine from PCa.135 Integrin α3, δ‐Catenin, integrin β1 and FABP5 proteins are identified in urinary EVs of PC patients with the significantly increased levels of PCa patients during the process of the investigation of the proteomic cargo of urinary PC‐derived EV.136, 137, 138, 139 Moreover, on the basis of the mass spectrometry proteome analysis, thousands of proteins encapsulated on and within vesicles are identified as biomarker candidates from urinary EVs or cell lines of PCa,139, 140, 141, 142, 143, 144, 145, 146 whereas the value as biomarkers is still controversial, and several types of research regenerate the previous biomarkers by the using targeted proteomics and immuno‐assays.134 Based on a proximity ligation assay, PC‐derived EVs in blood has also shown to contain proteins specific to PCa, such as phosphatase and tensin homolog gene (PTEN), survivin and other factors with decreased level compared to benign prostatic hyperplasia or health subjects.133, 147, 148, 149 PC‐based EVs show great value in comprehensively mapping nucleic acid changes in PCa via urine‐ or blood‐based liquid biopsies, and it has been known that the EVs is important pool resource for circulating‐free DNA (cfDNA)150; as such, some factors demonstrated good clinical usefulness and diagnostic value in predicting for high‐grade PC, including TP53 mutations, ERG and PCA3, can be detected in the EVs.150 ExoDx Prostate IntelliScore urine exosome assay has been developed as a non‐invasive detective tool to distinguish the high‐grade PCa from low‐grade groups and benign diseases at initial biopsy.151 Several mRNAs could be recognized as promising diagnostic and prognostic tools for the PCa152, 153, 154, 155, 156; for instance, the transcripts of CDH3 from EVs were significantly decreased compared with benign hyperplasia156; contrarily, the mRNA level of PTEN gene can only be detected in the patient of PC,147 and nevertheless, both of them are expected to be powerful for the diagnosis and monitoring of PCa.152 RT‐PCR, microarray and RNA sequencing technologies have focused on the non‐coding RNA content within EVs so far; for example, in the urinary sample, the levels of lncRNA‐p21, a suppressor of p53 signalling, contribute to detecting PC from benign disease.157 Next‐generation sequencing reveals the potential values for miRNA served as diagnostic and prognostic biomarkers for PCa within serum or plasma EVs,41, 131, 132, 158, 159, 160, 161, 162 such as miR‐141 and miR‐375 in serum, have been correlated with metastatic PCa.159, 163 Another study indicates that exosomal miR‐1290 and miR‐375 could be as prognostic markers in castration‐resistant prostate cancer (CRPC).164 In recent, several research works demonstrate that the lipids including diacylglycerol and triacylglycerol are differentially enriched in PCa rather than healthy groups.165, 166 Glycomic and metabolomic profiling of urinary EV reveal several small molecule metabolites could be novel biomarkers to predict the development of PCa, for example levels of N‐linked glycans, glucuronate, adenosine, d‐ribose‐5‐phosphate and isobutyryl‐l‐carnitine.167, 168
Table 6

Candidate biomarkers for prostate cancer derived from EVs

SourceMethodologiesEnd pointType of markerMarkersReference
Plasma

Ultracentrifugation

Western blot

ELISA

DiagnosisProteinsSurvivinKhan et al132
UrineDifferential ultracentrifugation FiltrationDiagnosis PrognosisProteins

TGM4, ADSV, PPAP, PSA, CD63, SPHM, GLPK5

TMEM256, flotillin 2, Rab3B, PARK7, LAMTOR1

TM256, LAMTOR1, ADIRF

TMEM256, flotillin 2, Rab3B, PARK7, LAMTOR1

Wang et al133

Sequeiros et al145

UrineDifferential ultracentrifugation

Diagnosis

Prognosis

Proteins

δ‑catenin

Integrin α3, Integrin β1

FABP5

Liu et al135

Lu et al136

Fujita et al138

Tissue

Urine

Differential ultracentrifugation

Filtration

Diagnosis

Prognosis

ProteinsCD63, ANXA1‐3, FASN, FOLH1, GDF15, MDR1, XPO1, TGM4, TIMP1, SFN, TMEM256, LAMTOR1, ADIRF, ITGA3, and ITGB1Bijnsdorp et al137
Tissue

Ultracentrifugation

Gel filtration

Chromatography, 2D‐PAGE

Mass spectrometry

Diagnosis

Prognosis

ProteinsANXA1, ANXA3, ANXA5, DDAH1Ronquist et al140
Cell lines

Ultracentrifugation

Mass spectrometry

Bead immuno‑isolation

Western blot

Diagnosis

Prognosis

ProteinsCDCP1, CD151, CD147Sandvig et al141

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 al142

Utleg et al143

Principe et al144

Plasma

Ultracentrifugation

Western blot

immunofluorescence

DiagnosisProteinsPTENGabriel et al134
SerumDifferential centrifugation

Predictive

Monitoring

ProteinsABCB1, ABCB4, PABPC4Kato et al147

Urine

Plasma

Differential ultracentrifugation

Filtration

Chromatography

DiagnosisProteinsAfamin, cardiotrophin‐1, CDON, endoplasmic reticulum aminopeptidase 1, FGF19, IL17RC, NAMPT, IL1RAPL2, CD226, IGFBP2, CCL16, TNFSF18, IGFBP5; Aromatic‐l‐amino‐acid decarboxylaseWelton et al148
Urine

Centrifugation

Filtration

Ultrafiltration

Diagnosis

Prognosis

mRNA

PCA3, TMPRSS2‐ERG

AGR2, SV‐G, AGR2 SV‐H

CDH3

Neeb et al151

Donovan et al152

Hendriks et al153

Motamedinia et al154

Royo et al155

Plasma/Serum/Urine

ExoMiR extraction

Filtration

qRT‑PCR

DiagnosismiRNA

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 al41

Foj et al130

Bryant et al158

Bryzgunova et al159

Rodríguez et al131

Wani et al160

Xu et al161

Urine

Differential centrifugation

Urine exosome

RNA isolation kit

DiagnosislincRNAlincRNA‐p21Işin et al156
Urine

Differential ultracentrifugation

Filtration

DiagnosisLipidsLactosylceramide, phosphatidylserine, phosphatidylglycerol, diacylglycerol, triacylglycerol

Skotland et al164

Yang et al165

Urine

Differential ultracentrifugation

Filtration

DiagnosisMetabolitesAdenosine, glucuronate, isobutyryl‐l‐carnitine, d‐ribose 5‐phosphatePuhka et al166
UrineDifferential ultracentrifugationDiagnosis PrognosisGlycomicN‐linked glycansNyalwidhe et al167
Candidate biomarkers for prostate cancer derived from EVs Ultracentrifugation Western blot ELISA TGM4, ADSV, PPAP, PSA, CD63, SPHM, GLPK5 TMEM256, flotillin 2, Rab3B, PARK7, LAMTOR1 TM256, LAMTOR1, ADIRF TMEM256, flotillin 2, Rab3B, PARK7, LAMTOR1 Wang et al133 Sequeiros et al145 Diagnosis Prognosis δ‑catenin Integrin α3, Integrin β1 FABP5 Liu et al135 Lu et al136 Fujita et al138 Tissue Urine Differential ultracentrifugation Filtration Diagnosis Prognosis Ultracentrifugation Gel filtration Chromatography, 2D‐PAGE Mass spectrometry Diagnosis Prognosis Ultracentrifugation Mass spectrometry Bead immuno‑isolation Western blot Diagnosis Prognosis Cell lines Urine Ultracentrifugation immunoprecipitation Western blot Electron microscopy Diagnosis Prognosis 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 al142 Utleg et al143 Principe et al144 Ultracentrifugation Western blot immunofluorescence Predictive Monitoring Urine Plasma Differential ultracentrifugation Filtration Chromatography Centrifugation Filtration Ultrafiltration Diagnosis Prognosis PCA3, TMPRSS2ERG AGR2, SV‐G, AGR2 SV‐H CDH3 Neeb et al151 Donovan et al152 Hendriks et al153 Motamedinia et al154 Royo et al155 ExoMiR extraction Filtration qRT‑PCR 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 al41 Foj et al130 Bryant et al158 Bryzgunova et al159 Rodríguez et al131 Wani et al160 Xu et al161 Differential centrifugation Urine exosome RNA isolation kit Differential ultracentrifugation Filtration Skotland et al164 Yang et al165 Differential ultracentrifugation Filtration The intercellular crosstalk through EVs could stimulate tumour progression. Several proteins presenting on and in EVs from PCa cell lines are recognized as significant meditators for the biological communication between cancer cells and tumour microenvironment or surrounding cell, including cytokine CX3CL1, MMPs and transforming growth factor B, play significant roles in the proliferation and differentiation of fibroblasts.169, 170 In addition, integrins ITGA3 and ITGB1 can affect invasion and migration of normal prostate epithelial cells.138 Several studies suggest that complicate intercellular interactions between cancer cells, osteoclasts and osteoblasts contribute to bone metastasis.171, 172 It is the first protein that has been reported in the EVs originated from human hormone‐refractory PCa cells to facilitate mouse pre‐osteoblast differentiation.171 Another molecular miR‐141‐3p is involved with the osteoblastic metastasis of prostate cancer via reducing the expression of Deleted in Liver Cancer 1 (DLC1) and activating the p38MAPK and OPG/RANKL pathway in osteoblasts173; however, another research fixes their attention on the role of EVs derived from PCa cell line in the osteoclast for the bone metastasis promoting osteoblast proliferation and identifies that tumour cell‐derived EVs play important roles in impairing the osteoclast formation and differentiation through the underlying mechanism is unknown yet.172 Moreover, the effect of biological crosstalk between PCa cell and immune cells though EVs causes the induction immune suppression via down‐regulating the NKG2D cytotoxicity receptor and diminishing the IL‐2 response.174, 175 PCa‐derived EVs also involve drug resistance. ABCB1, ABCB4, PABPC4 and SH3GL1 are much more sufficient in EVs from docetaxel‐resistant prostate cancer cell lines and potentially higher in serum EVs in men with docetaxel‐resistant PCa.148 AR‐V7 is correlated with resistance to enzalutamide and abiraterone in metastatic CRPC patients, which could be a biomarker to predict the CRPC.176, 177 Finally, EVs‐derived PCs can be used as vaccine vesicles that present prostate‐associated antigens such as PSA and PAP on their membrane to exert an anti‐tumour immune response.98, 178, 179

DISCUSSION

With the advent of novel concepts involving EVs in many physiologic as well as pathologic conditions, the field of EV research develops much excitement in the urologic malignancies. Unlike conventional biopsies of that only consist of a small amount of tumour solid masses with ignoring heterogeneity, EVs, as liquid biopsies, could capture and obtain overall tumour heterogeneity owing to directly releasing from all cells in the cancer tissue and its microenvironment. Beyond a doubt, specific bioactive contents contained in circulating EVs have great promise as reliable surrogates of urological cancers; therefore, their molecular cargoes including nucleic acids, protein and lipid composition, as well as their numbers, are representing as diagnostic, prognostic biomarkers for urinary tract diseases, and immense promising for therapeutic advancements. To conclude, we have a faith for the implement of EVs in urological cancers diagnosis and therapeutics owing to their enormous potencies in several aspects, as described below (Figure 4).19
Figure 4

Future 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

Future 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

ROLES IN DIAGNOSTIC AND PREDICTIVE BIOMARKERS

As more is understood about the fundamentals of EVs biology and roles involved in tumorigenesis and therapy resistance, EVs‐based analytical methods are increasingly interesting targets for clinical application. EVs are directly released from heterogeneous tumorous and reflect a snapshot of the current state of the neoplasm; therefore, EVs have great potential as remarkable, specific and sensitive biomarkers of oncogenesis, treatment response and therapy resistance. In urogenital cancers, it is thought that increased exosomes are produced by more advanced cancers, and it thus has been suggested that total circulating exosome burden may serve as indicators for disease surveillance. Exosomal contents can also identify disease or predict treatment response, such as several proteins (eg PD‐1, PD‐L1) or some nucleic acids (eg miRNA) with the roles as diagnostic biomarkers for cancer, indicators for therapeutics, worse still, research to date strongly indicate EVs involve treatment irresponsiveness. Such phenomenon was observed in various malignancies also including urogenital cancers; for example, docetaxel‐sensitive cell lines of prostate carcinoma undesirably acquire drug resistance again when co‐culture with EVs derived from the drug‐resistant cells.180 To date, increased pumping agents out of tumorous cells or omics alternations induced by the cargo of EVs are two most common opinions, but the underlying mechanisms are still entirely unknown. Further investigations that tailored clinical studies are now warranted to determine how best to prevent this occurring, in the interest of patients and also for economic benefit. Additionally, endothelial cell‐derived EVs can reflect transient cellular stress conditions and could be useful as predictors of anti‐angiogenic therapy effectiveness and cancer cell status. However, issues with interpretation of studies and reproducibility have arisen due to the deficit of standard isolation and characterization, and nomenclature employed, and as the result of the publication of the Minimal Information for Studies of Extracellular Vesicles 2014 (MISEV 2014) with emphasizing that build the set of biophysical, biochemical and functional standard that help in detecting particular biological cargo or functions in extracellular vesicles.181 Until 2018, the updated MISEV guidelines were published, and it continued to standardize the experimental parameters for EV isolation and characterization to provide more reproducible and robust outcomes.182 Continued efforts to systematically catalogue the protein, nucleic acid and lipid constituents of EVs isolated from richly annotated specimens could ultimately attribute to rapidly evolve and expand the development of selective and sensitive capture platforms directed towards specific EVs.

ROLES IN THERAPEUTICS

Directly or indirectly, EVs derived from tumour or TME can influence urogenital neoplasm via intercellular crosstalk or modification of TME, respectively. As discussed above, cargoes of tumour‐derived EVs attribute to cancer development. Thus, the blockage of exosome production, secretion and ablation of specific active exosomal contents, as well as exosome‐mediated cell‐cell communication between cancer and TME, have been proposed as alternative therapeutic strategies. Importantly, it is essential to note that EVs show promising potency for immunotherapy. As we all known, immunotherapy have Immunotherapy has revolutionized cancer therapy, especially the advent of immune checkpoint blockades (ie PD‐1/PD‐L1). Recently, it has been demonstrated that cancer‐derived exosomes transfer functional PD‐L1 and inhibit immune responses,183 while suppression of exosomal PD‐L1 induces systemic anti‐tumour immunity and memory in urological carcinomas,184 and clinical trials have already been initiated to explore their safety and efficacy in humans. Interestingly, EVs‐based vaccines can serve as new candidates that have shown their potential as novel cancer intervention in some clinical trials, indicating that rely on their role as tumour antigens and facilitate an anti‐tumour immunity in turns. The popular EVs‐based vaccines mainly derive from dendritic cell (Dex immunotherapy), but the clinical efficacy is not ideal to date; further research will be required to reassess clinical applications with taking the defects in current prospective designs into considerations such as lack of preselection criteria and small sample size. EVs, on the other hand, have garnered much attention as several characteristics of an optimal delivery system. First of all, the nanometric‐sized EVs confer the effective assimilation and intracellular trafficking for recipient cells. Second, the EV bioactive molecules are protected from degradation in the extracellular milieu and circulation due to lipid bilayer‐membrane structure of EVs.185 Third, autologous EVs show lower immunogenicity and toxicity than other conventional drug‐delivery platforms.186 Furthermore, EVs possessing specific surface proteins (eg integrins) could bear intrinsic targeting properties that are able to interact with target cells or organs.187 Although EVs have many advantages as described above, this enormous promise therapeutic delivery tool requires further study for clinical applications. These include the identification of the optimal EV donor cell type, large‐scale EVs isolation, preservation of EV structural integrity during drug loading, scalable manufacture and storage. A further challenge remains improving methods to shift in vivo biodistribution of EVs from non‐specific sites towards accumulation in desired tissues. Although considerable efforts by engineering EVs to present cell type‐specific ligands have been made in guaranteeing rich accumulation in target tissues, one of the major obstacles remains low delivery efficacy. The elucidation to these questions will enhance rationality and reliability to irritate the utility of EV‐involving molecular cargoes as cancer diagnostics in the clinical practices.

CONCLUSION

In recent, EVs have gained rocketing interest in the field of urological tumour research owing to their multifaceted role in the development and treatment of cancer, and their perspective as a weapon to the armoury for cancer treatment. Since EVs play pivotal effects on intercellular interactions in variable biological fluids, their numbers, protein, nucleic acids, lipid and signalling/epigenetic regulators components could be transfer to recipient cells and subsequently affect the pathologic process of the receptor cells, eventually result in abnormal proliferation, EMT, angiogenesis and metastasis by regulation of the TME to cause drug resistance, and preparation of pre‐metastatic niches, to enhance dissemination of cancer cells and cause relapse after a prolonged period of dormancy; thereby, targeting this communication will offer a novel therapeutic strategy for urologic cancer eradication. Apart from that, EVs could serve as a non‐invasive liquid biopsy and have been emerged as new potential diagnostic/prognostic biomarkers, as well as playing provoking roles in predicting anti‐cancer drug responses. In additions, we could use EVs as cancer vaccines or as drug delivery modules with promising therapeutic applications, unless more researches are required for clinical applications. However, the research in EVs is encountered with urgent challenges, including the standardization of approaches for the isolation, quantification and analysis of EVs from complicated tissues sample (mainly from cancer line cell medium or low numbers of patient urine samples). Great efforts have been made to precisely determine EV particles and, nevertheless, still have a great way to standardize EVs enumeration in some particular specimens, such as blood. Moreover, a further challenge is what EVs, their contents or their ratio should best be quantified as robust biomarkers in the surveillance of urological diseases staging is yet unknown; thus, in the future studies, we need pay more attention to develop stereospecific antibodies to map the topography of EVs. Furthermore, another big problem in the field is their half‐life in human samples are yet unexplored. With the increasing knowledge of their roles and development of the next‐generation sequencing, mass spectrometry‐based metabolomics and proteomics, we are enthusiastically sure that EVs will contribute to play clinical applications for urological cancer treatment and management in the near future.

CONFLICT OF INTEREST

The authors declare that they have no competing interests.

AUTHOR CONTRIBUTIONS

Z.W., S.W. and Z.Z. designed the review and made a retrieval strategy; Z.W. and Y.L. drafted the review text; W.X. and J.C. drafted the tables and figures; and both authors contributed to revision and finalization of the manuscript.

CONSENT FOR PUBLICATION

The patient has given his consent for his case report to be published.
  186 in total

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4.  Rab27a and Rab27b control different steps of the exosome secretion pathway.

Authors:  Matias Ostrowski; Nuno B Carmo; Sophie Krumeich; Isabelle Fanget; Graça Raposo; Ariel Savina; Catarina F Moita; Kristine Schauer; Alistair N Hume; Rui P Freitas; Bruno Goud; Philippe Benaroch; Nir Hacohen; Mitsunori Fukuda; Claire Desnos; Miguel C Seabra; François Darchen; Sebastian Amigorena; Luis F Moita; Clotilde Thery
Journal:  Nat Cell Biol       Date:  2009-12-06       Impact factor: 28.824

5.  A Novel Urine Exosome Gene Expression Assay to Predict High-grade Prostate Cancer at Initial Biopsy.

Authors:  James McKiernan; Michael J Donovan; Vince O'Neill; Stefan Bentink; Mikkel Noerholm; Susan Belzer; Johan Skog; Michael W Kattan; Alan Partin; Gerald Andriole; Gordon Brown; John T Wei; Ian M Thompson; Peter Carroll
Journal:  JAMA Oncol       Date:  2016-07-01       Impact factor: 31.777

6.  Urinary-exosomal miR-2909: A novel pathognomonic trait of prostate cancer severity.

Authors:  S Wani; D Kaul; R S Mavuduru; N Kakkar; A Bhatia
Journal:  J Biotechnol       Date:  2017-07-29       Impact factor: 3.307

Review 7.  PSA-based screening for prostate cancer: how does it compare with other cancer screening tests?

Authors:  E David Crawford; Per-Anders Abrahamsson
Journal:  Eur Urol       Date:  2008-05-27       Impact factor: 20.096

8.  Renal tumor-derived exosomes inhibit hepaCAM expression of renal carcinoma cells in a p-AKT-dependent manner.

Authors:  X L Jiang; Y Zhang; B Tan; C L Luo; X H Wu
Journal:  Neoplasma       Date:  2014       Impact factor: 2.575

9.  Gastric cancer exosomes trigger differentiation of umbilical cord derived mesenchymal stem cells to carcinoma-associated fibroblasts through TGF-β/Smad pathway.

Authors:  Jianmei Gu; Hui Qian; Li Shen; Xu Zhang; Wei Zhu; Ling Huang; Yongmin Yan; Fei Mao; Chonghui Zhao; Yunyan Shi; Wenrong Xu
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

Review 10.  The decade of exosomal long RNA species: an emerging cancer antagonist.

Authors:  Ruihao Zhou; Kaddie Kwok Chen; Jingtao Zhang; Bufan Xiao; Zhaohao Huang; Cheng Ju; Jun Sun; Feifei Zhang; Xiao-Bin Lv; Guofu Huang
Journal:  Mol Cancer       Date:  2018-03-20       Impact factor: 27.401

View more
  8 in total

Review 1.  Applications of extracellular vesicles in tissue regeneration.

Authors:  Zhijie Ma; Yang Wang; Haiyan Li
Journal:  Biomicrofluidics       Date:  2020-01-27       Impact factor: 2.800

Review 2.  Monitoring Therapy Efficiency in Cancer through Extracellular Vesicles.

Authors:  Ines Stevic; Gustav Buescher; Franz Lennard Ricklefs
Journal:  Cells       Date:  2020-01-06       Impact factor: 6.600

Review 3.  Extracellular vesicles in urologic malignancies-Implementations for future cancer care.

Authors:  Zhangsong Wu; Zhiqiang Zhang; Wuchao Xia; Jiajia Cai; Yuqing Li; Song Wu
Journal:  Cell Prolif       Date:  2019-08-30       Impact factor: 6.831

Review 4.  Evaluation of exosome derivatives as bio-informational reprogramming therapy for cancer.

Authors:  Michael J Gonzalez; Mercedes F Kweh; Pier Mario Biava; Jose Olalde; Alondra P Toro; Pascal J Goldschmidt-Clermont; Ian A White
Journal:  J Transl Med       Date:  2021-03-09       Impact factor: 5.531

Review 5.  Urinary Extracellular Vesicles as Potential Biomarkers for Urologic Cancers: An Overview of Current Methods and Advances.

Authors:  Catarina Lourenço; Vera Constâncio; Rui Henrique; Ângela Carvalho; Carmen Jerónimo
Journal:  Cancers (Basel)       Date:  2021-03-26       Impact factor: 6.639

6.  Proteomic Profiling of Ectosomes Derived from Paired Urothelial Bladder Cancer and Normal Cells Reveals the Presence of Biologically-Relevant Molecules.

Authors:  Magdalena Surman; Sylwia Kędracka-Krok; Urszula Jankowska; Anna Drożdż; Ewa Stępień; Małgorzata Przybyło
Journal:  Int J Mol Sci       Date:  2021-06-24       Impact factor: 5.923

Review 7.  Extracellular vesicles in urological malignancies.

Authors:  Michael P Rimmer; Christopher D Gregory; Rod T Mitchell
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2021-05-19       Impact factor: 10.680

Review 8.  Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies.

Authors:  Rui Miguel Marques Bernardino; Ricardo Leão; Rui Henrique; Luis Campos Pinheiro; Prashant Kumar; Prashanth Suravajhala; Hans Christian Beck; Ana Sofia Carvalho; Rune Matthiesen
Journal:  Int J Mol Sci       Date:  2021-12-19       Impact factor: 5.923

  8 in total

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