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Emerging role of exosomes as a liquid biopsy tool for diagnosis, prognosis & monitoring treatment response of communicable & non-communicable diseases
For correspondence: Dr Devendra Singh Chauhan, Department of Microbiology & Molecular Biology, ICMR-National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Tajganj, Agra 282 001, Uttar Pradesh, India e-mail: devchauhan01@yahoo.co.in
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This article was originally published by Wolters Kluwer - Medknow and was migrated to Scientific Scholar after the change of Publisher.
Abstract
From an initial thought of being used as a cellular garbage bin to a promising target for liquid biopsies, the role of exosomes has drastically evolved in just a few years of their discovery in 1983. Exosomes are naturally secreted nano-sized vesicles, abundant in all types of body fluids and can be isolated intact even from the stored biological samples. Being stable carriers of genetic material (cellular DNA, mRNA and miRNA) and having specific cargo (signature content of originating cells), exosomes play a crucial role in pathogenesis and have been identified as a novel source of biomarkers in a variety of disease conditions. Recently exosomes have emerged as a promising ‘liquid biopsy tool’and have shown great potential in the field of non-invasive disease diagnostics, prognostics and treatment response monitoring in both communicable as well as non-communicable diseases. However, there are certain limitations to overcome which restrict the use of exosome-based liquid biopsy as a gold standard testing procedure in routine clinical practices. The present review summarizes the current knowledge on the role of exosomes as the liquid biopsy tool in diagnosis, prognosis and treatment response monitoring in communicable and non-communicable diseases and highlights the major limitations, technical advancements and future prospects of the utilization of exosome-based liquid biopsy in clinical interventions.
Keywords
Diagnosis
disease progression
exosomes
liquid biopsy
prognosis
treatment
response monitoring
Switching from tissue-based traditional biopsies to ‘liquid biopsy’ has taken the diagnostic research a step further as it is painless, rapid, non-invasive and can be consistently undertaken in certain situations providing the ‘real time’ molecular profile and dynamic behaviour of the disease1. Although the free circulating nucleic acids (DNA and RNA) were discovered long back in 1948, their importance as biomarker was first postulated by Leon et al2 in 1977. It is after that when the diagnostic research community found an alternative to solid biopsies in the form of circulating cell-free DNA (ccfDNA) and circulating tumour cells (CTCs) and the technique was called as ‘liquid biopsy’. Liquid biopsy has the notable advantage over traditional tissue biopsies in that it is less stressful to the patients; provides much more comprehensive diagnostic and prognostic information about the disease during, before and after treatment3. It allows the sampling in a minimally invasive or non-invasive manner during the course of the disease, thus avoiding the risks related to tissue sampling and provides the continuous assessment of disease progression and treatment efficacy. Unlike traditional biopsies, liquid biopsies are repeatable and can be performed even in the worst clinical conditions. So far the most common tools of liquid biopsies were CTCs, ccfDNA and circulating cell-free RNA (cfRNA). However, lack of surface markers and scarcity of the desired cell-free nucleic acids are some of the limitations which render these molecules (CTCs, ccfDNAs and cfRNA) less significant to be used as liquid biopsy tools. Recently, the increasing role of ‘exosomes’ in biomedical applications has grabbed the attention of medical researchers.
Exosomes are lipid bilayer membrane vesicles of endosomal origin with 40-150nm diameter4 secreted by almost every cell type of the body and are ubiquitously present in all body fluids5. These are naturally secreted vesicles which are typically defined as a subset of intraluminal vesicles (ILVs) that are secreted upon multivesicular bodies (MVBs) fusion with plasma membrane6. Exosomes were initially supposed to remove the cellular waste from the cells; this thought was further supported by some recent studies, which also indicate the role of exosomes in cellular waste elimination and maintaining cellular homeostasis78. In addition to waste management, exosomes are also involved in cell-cell communication and activating significant biological responses even in distant cells910. Besides being associated with various patho-physiological functions in the cell,10 exosomes have also been shown to play a role as immune modulators1112. Contemplating the unique properties and natural functions of exosomes, researchers have anticipated the deliberate utilization of exosomes in clinical research. The substantial development in the field of exosomes has opened up possibilities for the diagnosis and treatment of many deadly diseases. The researchers are now looking forward to find a profound scope of exosomes in medical interventions like targeted drug delivery and personalized medicines, but till date, the most studied field of exosomes is biomarker analysis. Exosomes being the molecular signature of their originating cells, can provide enough and accurate information about the parent cell. Furthermore, since these are actively and continuously produced, these can be the best source for real-time assessment of disease for prognosis/diagnosis and also for monitoring the treatment response efficacy and relapse1213. The ubiquitous and non-invasive nature of exosomes has encouraged their role in routine diagnosis and treatment response monitoring, thus making them favourable to be used in liquid biopsies. Recently, Minimal Information for Studies of Extracellular Vesicles 2018 (MISEV2018) guidelines14 advocated the use of operational terms such as ‘small extra-cellular vesicles (sEVs)’ instead of ‘exosomes’ unless the origin of the vesicle could be proven yet we have used the term exosome throughout the manuscript to maintain the effective link with published literature and avoid any misunderstanding of exosomes to other sEVs. This review summarizes the existing knowledge of applications, limitations and technical advancements of exosome-based liquid biopsies for the diagnosis, prognosis and treatment response monitoring in communicable and non-communicable diseases and highlighted the future aspects of exosome-based liquid biopsy in clinical interventions.
Biogenesis & cargo loading of exosomes in context of liquid biopsies
The process of exosome biogenesis has been demonstrated to be slightly different from that of other extracellular vesicles. Formation of early endosomes by inward budding of plasma membrane marks the initiation of exosome biogenesis15 and is mediated by the endosomal sorting complex required for transport (ESCRT) like other extracellular vesicles. Early endosomes undergo maturation to transform into late endosomal MVBs, which generate ILVs within their lumen. The formation of ILVs in exosomes has been shown to be either ESCRT-dependent or ESCRT-independent16. ESCRT-independent mechanism involves some trafficking effectors such as tetraspanins or lipids (lysobisphosphatidic acid and ceramides) that bind the cargo to the early endosomal membrane15. This binding leads to the formation of ILVs by the budding of the endosomal membrane into the lumen. Fusion of MVBs with the plasma membrane leads to the secretion of sEVs called ‘exosomes’15.
Exosomes from different origins have their specific cargo (lipids, proteins, DNA, mRNA and miRNA), which constitute the molecular fingerprint of their originating cells517. The enrichment of the cargo into exosomes depends on cell type and cellular homeostasis18. The cargo of the exosomes has been demonstrated to be changed with the changing environment of these cells19. Moreover, exosomes secreted by the same cell line are shown to be heterogeneous20. Cargo loading or cargo sorting in exosomes is a crucial step for determining the fate and function of an exosome. Although there are some studies showing the evidence of cargo loading during extra-cellular vesicle biogenesis212223 there is no certain rule with respect to sorting of cargo like how and when these are loaded into exosomes. On the basis of the mode of loading, cargo sorting may be of two types: ‘active or selective’ cargo sorting and ‘passive or random’ cargo sorting24. Active cargo sorting is a process in which cargo is incorporated selectively into exosomes by accumulating it on the place of nascent exosome biogenesis. The enrichment of miRNAs into exosomes has been demonstrated in several studies compared to their concentration in the cell which indicates that the cargo can be selectively sorted into exosomes2526. The accumulation and incorporation of cargo have been shown to be mediated by some specific adaptor proteins such as ALIX, hnRNPA1 and SYNCRIP272829. These proteins are called trafficking effectors that facilitate the binding of cargo to the endosomal membrane24. While passive or random cargo sorting is a process in which cargo is incorporated randomly into newly forming exosomes and the incorporation of the cargo depends on its concentration (i.e., the rate of its expression in the cell and its surrounding) and also on the rate of extracellular vesicles (EV) production in the cell. However, the same is also applicable in the case of active cargo sorting. Although there are several research studies describing the enrichment of cargo into exosomes, the exact mechanism of the cargo sorting is not known yet. In general,the cargo sorting depends on cell signalling and cell state, so probably the factors that affect the state of the cell also indirectly affect the sorting or selection of cargo in the exosomes. Till date, the identified regulatory factors of cargo sorting are growth factor signalling30 stress signalling31 senescence32 metabolic changes33 and disease-associated changes34 in the cell. The in-depth-knowledge of biogenesis and cargo sorting in exosomes will certainly improve our understanding of the selection of biomarkers in exosomes and, consequently, their applications in the field of liquid biopsies.
Exosomes: as liquid biopsy tool
The need for an advanced, high throughput, rapid and repeatable diagnostic technique has led the researchers to look towards exosomes as a better alternative to be used in liquid biopsies. The liquid biopsy concept relies on a biological source of bioactive substances, i.e. protein, DNA, RNA or metabolite-based biomarkers, which is required for the assessment of the disease and its cure. Exosomes possess some distinct properties which render them favourable to be used in liquid biopsies, showing remarkable supremacy over other liquid biopsy sources, i.e., CTC, cfDNA or cfRNA. Exosomes are ubiquitous in nature and continuously produced and accumulated in body fluids; thus are more abundant than ctcDNAs or cfDNAs. Therefore, exosomes play a crucial role in reflecting better intratumour heterogeneity than CTCs, in cases where only a few CTCs are released like tumours of the central nervous system. Moreover, CTCs, cfDNA and cfRNA are prone to be degraded in biological fluids while exosomes having a lipid bilayer membrane which protect the cargo from degradation and keep it intact35. Furthermore, CTCs and cfDNAs are released during necrosis or apoptosis, while exosomes are actively secreted by living cells and are molecular signatures of their originating cell’s biological complexity, thus allowing for the real-time assessment of the disease. Thus, exosomes are better representative of their parental cells than CTCs/cfDNAs. Several studies have revealed that exosomal DNA/RNA yield higher sensitivity as well as specificity for detecting mutations compared to the total circulating cfDNAs and cfRNAs3637. Collection and enrichment of CTCs and cfDNA are complicated compared to exosomes which are relatively easy to be obtained through classic extraction methods such as ultracentrifugation38. Several other novel extraction methods and commercial isolation kits which require only a small amount of the human body fluid have also been developed which make them feasible for further clinical applications39. Exosomes are more homogeneous in terms of size and shape, which make them suitable and easily distinguishable from other molecules440. Exosomes contain specific surface markers such as CD63, CD9, HSP70 and TS10141 which can be used to discriminate them from other vesicles. Exosomes can be stored for 48-96 h at 4°C at −80°C for a long time and can also be isolated from long-term stored samples42. Storage stability of exosomes makes them significant for further clinical applications as it reduces the sample storage cost and avoids transportation difficulty. Exosomes exhibit specific surface proteins of target cells, a property that can be used in target specific drug deliveries43. The blood–brain barrier which was previously thought to be inaccessible, can now be accessed via exosomes; as these vesicles have the unique property of passing through this barrier44. With exhaustive literature published and clinical trials underway, exosomes have shown great scope and potential to be used in clinical applications for the diagnosis and therapeutics of various diseases (http://pubmed.ncbi.nlm.nih.gov; http://clinicaltrials.gov). The available exosome databases such as ExoCarta45 Vesiclepedia46 urinary exosome protein database47 and EVmiRNA48 are also enriching the field by providing updates about proteins and nucleic acid contents of exosomes, thus helping in planning the novel clinical set ups.
Exosome-based liquid biopsies in communicable diseases:
Diagnosis: The accumulating research on exosomal biomarkers has generated a new era in the field of diagnostics providing various informative bioactive substances in a non-invasive manner. Exosomal proteins, RNAs and DNA have been proved promising biomarkers that remain protected against degradation and can be isolated from the long-term storage samples even after years. As the molecular content of an exosome represents the molecular content of the parent cell, these have been postulated as a potential diagnostic biomarker in a range of communicable and non-communicable diseases. There are various research studies demonstrating the therapeutic potential of exosomes for the treatment of various communicable diseases, but the diagnostic utility of exosomes in the field of communicable diseases is not well known yet. However, there are a few studies investigating the likely potential of exosomes in the diagnosis of some communicable diseases. Wang et al49 detected a higher level of miR-21 in individuals with chronic hepatitis B (CHB) in comparison with healthy individuals, the elevated level of exosomal miR-21 indicates that it may serve as potential biomarker for CHB. Recently, Alipoor et al50 demonstrated the diagnostic potential of exosomal miRNAs (miR-96, miR-484 and miR-425) in active tuberculosis50 while another study suggests that the differential expression of exosomal miRNAs may be used as a diagnostic biomarker for latent tuberculosis51. Hu et al52 suggested that the differential expression of miR-20b, miR-191 and miR-486 shows the potential to be used as the diagnostic marker for discriminating TB meningitis from pulmonary TB.
Prognosis: Exosomes are emerging as a favourable tool for accurate prognosis and screening of disease progression since these can be obtained at regular intervals without the need for tissue biopsies. In case of many mutational diseases including tumours, tissue biopsies generally provide information on that time-point only. However, several mutations have been shown to change regularly and acquire new patterns, especially under the selective pressure of drugs and therapies. Therefore, stratification of cases to a specific targeted therapy based on the historical profiles of past tumour biopsies is unfavourable. Hence, exosomes which are regularly and actively produced by the diseased cells can provide updated information about the disease and can be the best option as the liquid biopsy tool for the assessment of disease progression and medication planning; moreover, its non-invasive nature allows for repeat sampling whenever required. Till date, many exosomal prognostic biomarkers have been identified for various communicable and non-communicable diseases. Recently, exosomal biomarkers have received attention as possible prognosis biomarkers for some allergies and communicable diseases. Pang and Teow53 reported that exosomal proteins (NF-L, HMGB1 and Aβ proteins) can be a potential biomarker for the prognosis of HIV-1 infection53. In 2013, Chugh et al54 suggested that exosomes derived from Kaposi’s sarcoma associated herpes virus (KSHV)-associated malignancies could represent candidate biomarkers for Kaposi’s sarcoma. Recently, a study highlighted the potential of exosomal miRNAs derived from human milk to serve as biomarkers for identifying HIV-1 infection in women55.
Treatment response monitoring: As the efficacy of a treatment is currently determined subjectively based on individual clinical response; treatment response monitoring has become key to the management of various diseases for therapeutic effectiveness. A liquid biopsy constitutes a non-invasive way of obtaining disease-derived components to monitor the changes in specific diseased cells during the treatment. Monitoring of a treatment response can be performed by determining the level of restoration of distinct molecules during the course of treatment. Growing evidence indicates that the exosomal cargo (lipids, proteins, DNA, mRNAs and miRNAs) secreted by diseased cells can reflect the contents of their originating cells, enabling real-time monitoring of disease and its response to therapy, especially drug resistance. Tumour-derived exosomes generally carry various drug resistance-associated molecules that can alter several signal transduction pathways and regulate specific cancer cell targets to facilitate treatment failure through drug resistance. Growing evidence indicates that exosome-derived proteins and miRNAs may serve as a candidate biomarker for real-time monitoring of disease and its response to treatment. In a case–control study, serum-derived exosomal CD81 was found to have the potential for monitoring the treatment response in individuals with chronic hepatitis C56. Another study suggested that serum-derived exosomal miRNAs (miR-192 and miR-144) along with some cytokines may be used for monitoring the treatment of HIV after antiretroviral therapy as these were found to be correlated with CD4+ cells recovery57. Similarly, in another study, miR-378 and miR-630 from human milk-derived exosomes were found to have the potential to monitor HIV status in HIV-1 infected women, thus helping in the prevention of HIV transmission from breastfeeding mothers to infants55. Recently, host-derived miR-let7e-5p and M. tuberculosis-derived RNA from serum exosomes were shown to be candidate dual biomarkers for monitoring the treatment in multi-drug resistant tuberculosis cases without diabetes58. Recent studies on exosomes as biomarkers for diagnosis, prognosis and treatment response monitoring of treatment response in various communicable diseases are listed in Table I.
| Disease | Target/biomarkers | Source | Clinical utility | Reference |
|---|---|---|---|---|
| Chronic hepatitis B | miR-21 | Serum | Diagnosis | Wang et al49 |
| TB | miR-484, miR-96, miR-425 | PBMCs | Diagnosis | Alipoor et al50 |
| TB (active and latent) | exosomal miRNAs | Serum | Diagnosis | Lyu et al51 |
| TB (PTB and TBM) | miR-20b, miR-191 and miR-486 | Plasma | Diagnosis | Hu et al52 |
| Kaposi’s sarcoma | exosomal miRNAs | Prognosis | Chugh et al54 | |
| HIV-1 | exosomal miRNAs | Milk | Prognosis | Zahoor et al55 |
| Chronic hepatitis C | exosomal CD81 | Serum | Treatment response monitoring | Welker et al56 |
| HIV | miR-192, miR-144 | Serum | Treatment response monitoring | Hernández-Walias et al57 |
| HIV | miR-378 & miR-630 | Milk | Treatment response monitoring | Zahoor et al55 |
| TB (MDR-TB) | miR-let7e-5p & M. tuberculosis-derived RNA | Serum | Treatment response monitoring | Carranza et al58 |
TB, tuberculosis; TBM, tuberculous meningitis; PTB, pulmonary tuberculosis ; MDR, multidrug-resistant; PBMCs, peripheral blood mononuclear cells
Exosome-based liquid biopsies in non-communicable diseases:
Diagnosis: Mounting clinical trials on exosome-based diagnosis and evaluation of disease progression in cancer have resulted in exhaustive literature available in this field. Many exosomal proteins have been identified as diagnostic biomarkers in several cancers including ovarian carcinomas (phosphatidylserine)59 pancreatic cancer (glypican-1)60 colorectal cancer (Glypican-1and CPNE3)6162 lung cancer (CD151, CD171and tetraspanin 8)63 breast cancer (CD82)64 renal cell carcinoma65 and cholangio-carcenoma66. Cheow et al67 identified a set of six exosomal proteins (Apolipoprotein C-III, Apolipoprotein D, Complement C1q subcomponent subunit A, Complement C5, Platelet basic protein and Platelet glycoprotein Ib alpha chain) as biomarkers for the early diagnosis of myocardial infarction. In addition, exosomal proteins have been found to be associated with early diagnosis of pregnancy disorders such as congenital obstructive nephropathy68 and intrauterine growth restriction69. Lim et al70 found exosomal Tetraspanin-1 and Hemopexin derived from urine of patients undergone kidney transplantation, as potential biomarkers for the early diagnosis of acute rejection. Zubiri et al71 conducted a proteomic analysis of urinary exosomes derived from individuals with diabetic nephropathy and found a panel of three proteins (MLL3, AMBP and VDAC1), as the potential markers for the diagnosis as well as assessment of disease progression.
Exosomal nucleic acids have also shown great potential for the diagnosis of various diseases. The role of miRNAs as diagnostic biomarkers has been reported by several studies727374757677. Plasma-derived exosomal miRNA has been investigated as a potential diagnostic biomarkers for various types of cancers including: epithelial ovarian72 non-small-cell lung cancer73 cholangiocarcinoma and gallbladder carcinoma74 lung75 breast76 and bladder77. Ji et al78 suggested the possible predictive role of serum-derived brain-specific miR-9 as well as miR-124 in the diagnosis and assessment of damage in acute ischemic stroke. Similarly, urinary exosome miR-146a has been found to be a potential biomarker for studying early renal injury in hypertension79. Exosomal miRNAs have also been used for the detection of pregnancy disorders, including pregnancy hypertension80 preeclampsia81 and congenital obstructive nephropathy82. The potential roles of exo-miRNAs have also been demonstrated in the assessment of acute rejection after kidney transplantation83 and heart transplantation84. Some studies also suggest the possible role of serum-derived exosomal miRNAs for the diagnosis of ocular diseases, i.e. age-related macular degeneration85 and metastatic uveal melanoma86. A few studies demonstrated that besides miRNAs, long non-coding RNAs can also be potentially used for the diagnosis87. Fotuhi et al88 revealed that long non-coding RNA BACE1-AS may serve as a blood-based biomarker for Alzheimer’s disease.
Along with RNAs, exosomal DNA has also become the desired target for the diagnostic studies of cancers. After the discovery of exosomes contain double-stranded DNA89 exosome-based liquid biopsies have become an alternative to conventional mutation-based diagnostic approaches, which use DNA of diseased cells for the diagnosis. Locating the KRAS mutation in exosomal DNA may serve as the potential diagnostic biomarker of pancreatic cancer at the early stage of the disease90. Early and precise diagnosis can reduce the mortality rate in cancer patients and also increase the recovery rate. Recent clinical studies on exosomes as biomarkers for various diseases, including the source of biofluid and functional target of exosomes, are listed in Table II.
| Disease | Target/biomarkers | Source | Reference |
|---|---|---|---|
| Epithelial ovarian cancer | exo-miRNA-200b | Plasma | Pan et al72 |
| NSCLC | exo-RNA | Plasma | Krug et al73 |
| Prostate cancer | exosome gene expression assay | Urine | McKiernan et al91 |
| Ovarian carcinomas | Exosomal phosphatidylserine | Plasma | Lea et al59 |
| Cholangiocarcinoma and gallbladder carcinoma | exosomalpiwi-interacting RNA (piRNA) | Plasma | Gu et al74 |
| Pancreatic cancer | KRAS (exo-DNA) | Plasma | Allenson et al36 |
| exosomal GPC1 | Serum | Melo et al60 | |
| Colorectal cancer | IncRNA | Serum | Dong et al87 |
| exosomal CPNE3 | Plasma | Sun et al62 | |
| Lung cancer | EGFR T790M | Plasma | Castellanos-Rizaldos et al92 |
| exo-miRNA | Plasma, BALF | Rodríguez et al75 | |
| exo-proteins | Plasma | Sandfeld-Paulsen et al63 | |
| Breast cancer | miR-21, miR-1246 | Plasma | Hannafon et al76 |
| exo-protein CD82 | Serum/plasma | Wang et al64 | |
| Renal cell carcenoma | exo-proteins | Urine | Raimondo et al65 |
| Bladder cancer | exo-miRNAs | Urine | Armstrong77 |
| Cholangiocarcinoma | exo-proteins | Serum | Arbelaiz et al66 |
| Myocardial infarction | exo-proteins | Plasma | Cheow et al67 |
| Stroke | miR-9, miR-124 | Serum | Ji et al78 |
| Pregnancy hypertension | miR-210 | Plasma | Biró et al80 |
| Pre-eclampsia | miR-486-1-5p, miR-486-2-5p | Plasma | Salomon et al81 |
| Congenital obstructive nephropathy | miR-300, miR-299-5p | Amniotic fluid | Xie et al82 |
| PLAP | Plasma | Miranda et al68 | |
| Intrauterine growth restriction | Sags, Collagen-V | BALF | Gunasekaran et al69 |
| Kidney transplantation | exo-miRNAs | Plasma, BALF | Zhang et al83 |
| Tetraspanin-1, Hemopexin | Urine | Lim et al70 | |
| Heart | miR-142-3P | Serum | Sukma Dewi et al84 |
| Alzheimer’s disease | lncRNA BACE1-AS | Plasma | Fotuhi et al88 |
| Diabetic nephropathy | exo-proteins | Urine | Zubiri et al71 |
| Albuminuria/renal injury | exosome miR-146a | Urine | Perez-Hernandez et al79 |
| AMD | miR-486-5p, miR-626, miR-885-5p | Serum | Elbay et al85 |
| UM | miRNA | Melanoma | Eldh et al86 |
NSCLC, non-small cell lung cancer; AMD, age-related macular degeneration; UM, uveal melanoma
Prognosis: Recently, several exosomal proteins have been investigated to be used as potential prognostic biomarkers for cancer and other non-communicable diseases. An increased expression of the migration inhibitory factor (MIF) in the exosomes of pancreatic ductal adenocarcinoma indicates the development of PDAC liver metastasis93. Tumour-derived exosomes have been found to be the crucial source of biomarkers for better prognosis and assessment of disease progression since these can easily be obtained from biological fluids including blood, saliva and urine. Some recently identified exosomal prognostic biomarkers (summarized in Table III) include KRAS protein37 PD-L1, c-MET93CD13394 for pancreatic cancer; miR-19a95 (miR-92a-3p, miR-17-5p)96 miR-548c-5p97 (miR-141-3p and miR-375)98 for colorectal cancer; FL-11 exo-RNAs99 for lung cancer; PD-L1 for head and neck cancer100 miR-222101for breast cancer; miRNA-125b102 hsa-miR-576-3p and hsa-miR-130-3p in the prognosis of brain metastasis116 S100B, MIA103 for melanomas; exosomal chimeric GOLM1-NAA35 RNA104for oesophageal carcinoma; ITGA3, ITGB1105for prostate cancer and some other exo-proteins for ovarian and oral cancers59.
| Disease | Target | Source | Reference |
|---|---|---|---|
| Pancreatic cancer | KRAS | Plasma | Bernard et al37 |
| PD-L1, c-MET | Serum | Lux et al93 | |
| Exosomal CD133 | Plasma | Sakaue et al94 | |
| Colorectal cancer | miR-19a | Serum | Matsumura et al95 |
| miR-17-5p, miR-92a-3p | Serum | Fu et al96 | |
| miR-548c-5p | Serum | Peng et al97 | |
| miR-141-3p, miR-375 | Plasma | Meltzer et al98 | |
| Lung cancer | FL-1 exo-RNAs | Serum | Li et al99 |
| NY-ESO-1 | Plasma | Sandfeld-Paulsen et al63 | |
| Head and neck cancer | PD-L1 | Plasma | Theodoraki100 |
| Breast cancer | miR-222 | Serum | Rodríguez-Martínez et al101 |
| Melanoma | miRNA-125b | Serum | Alegre et al102 |
| S100B, MIA | Serum | Alegre et al103 | |
| Esophageal carcinoma | exosomal chimeric GOLM1-NAA35 RNA | Saliva | Lin et al104 |
| Prostate cancer | ITGA3, ITGB1 | Urine | Bijnsdorp et al105 |
| Ovarian cancer | exo-proteins | Plasma | Lea et al59 |
| Myocardial infarction | miR-939 | Serum | Li et al106 |
| Coronary artery disease | Exosomal SOCS2-AS1 | Plasma | Liang et al107 |
| Abdominal aortic aneurysm | exo-proteins ficolin 3 | Plasma, Tissue | Fernandez-García et al108 |
| Gestational diabetes mellitus | CD63, PLAP | Plasma | Salomon et al109 |
| Pre-term birth | eExo-miRNAs | Plasma | Menon et al110 |
| Alzheimer’s disease | exo-proteins | Plasma | Goetzl et al111 |
| Parkinson’s disease | exo-proteins | Serum | Jiang et al112 |
| Multiple sclerosis | Exo-miRNA | Serum | Ebrahimkhani et al113 |
| Heart | exo-proteins | Serum | Kennel et al114 |
| Kidney | exo-proteins | Urine | Park et al115 |
Exosome-derived biomarkers have been well investigated in disease conditions other than cancer including neurological disorders, pregnancy disorders and cardiovascular diseases. Blood exosomes derived from the neuronal cells are found to contain some significant proteins that are associated with some neurological conditions including Parkinson’s, Alzheimer’s and Prion diseases117. Goetzl et al118 have reported that the levels of neuronal-derived exosomal proteins such as cathepsin D, lysosome-associated membrane protein (LAMP) 1, ubiquitinylated proteins and HSP 70 are altered in individuals, years before the onset of Alzhiemer’s disease. Similarly, Kapogiannis et al.119 demonstrated that the proportion of P-serine312-IRS-1 to P-pan-tyrosine-IRS-1 in blood exosomes derived from neural could serve as a predictive factor for the onset of Alzheimer’s disease in patients with type 2 diabetes, even a decade prior to the manifestation of Alzheimer’s disease. Exosomal proteins and miRNA biomarkers for the prognosis of some cardiovascular diseases such as myocardial infarction and coronary artery disease have also been investigated106107. Plasma ficolin-3 levels have been reported to be associated with the presence as well as progression of abdominal aortic aneurysm (AAA), suggesting its potential to be a biomarker of AAA108. The use of exosomes in the prediction and screening of pregnancy disorders has also been validated. In pregnant women, maternal circulating exosomal miRNAs, particularly PDEs, have been demonstrated to be significant biomarkers for the early detection of gestational diabetes mellitus as well as of preterm birth109110. The decrease in levels of specific excitatory synaptic proteins found in plasma neuron-derived exosomes could potentially serve as a biomarker for cognitive loss and may indicate the progression of Alzheimer’s disease even 10 yr prior to its clinical onset111. Jiang et al112 in 2019 suggested that the progression of Parkinson’s disease is associated with the alteration in exosomal proteins, which could be a potential biomarker for the assessment of disease progression. Another study suggested that exosomal miRNAs may be potential biomarkers for multiple sclerosis and can also distinguish the various progressive forms of the disease113.
Exosomal protein and miRNA analysis can also be an approach to predict and monitor cardiac allograft rejection114. An integrated kidney exosome analysis method developed by Park et al115 can detect the probability of kidney transplant rejection by analyzing the exosome profile derived from urine samples of the patients. Significant clinical studies identifying biomarkers for the prognosis and assessment of disease progression are listed in Table III.
Treatment response monitoring: Many plasma-derived exosomal proteins and RNA biomarkers (miR-21, PD-L1, miR-29a-3p, exosomal SART1 peptide, exosomal EGFR, exo-RNAs and miR-222-3p) have been identified for the assessment of treatment response in many cancer studies, including lung cancer73 lung adenocarcinoma118 colorectal cancer119 oesophageal cancer120 lymphoma121 melanoma122 and non-small cell lung cancer (NSCLC)123. Besides the use in cancer treatment monitoring, the exosomes are equally efficient in the assessment of the treatment response in other diseases, including cardiological and neurological disorders and is also a better option in the assessment of graft rejection after organ transplantation. Another study postulated that the small extracellular vesicles could be used to monitor adverse outcomes in individuals undergoing surgical aortic valve replacement124. Clinical applications or trials identifying exosomes as potential biomarkers for the assessment of treatment response are listed in Table IV.
| Disease | Target | Source | Reference |
|---|---|---|---|
| Lung cancer | Exo-RNA (EGFR) | Plasma | Krug et al73 |
| Lung adenocarcinoma | exo-protein, Exosomal EGFR | Plasma | Yu et al120 |
| Colorectal cancer | miR-29a-3p | Plasma | Parakrama et al121 |
| Esophageal cancer | Exosomal SART1 peptide | Plasma | Narita et al122 |
| Lymphoma | miR-451 | Serum | Cao et al123 |
| Melanoma | PD-L1 | Plasma | Chen et al124 |
| Non-small cell lung cancer | miR-222-3p | Serum | Wei et al125 |
| Aortic valve replacement | Exosomes | Serum | Weber et al126 |
EGFR, epidermal growth factor receptor
Limitations of exosome-based liquid biopsy
Rapid increase in the involvement of exosomes in clinical applications has drawn attention to the development of rapid and high throughput approaches for the biophysical and biological characterization of exosomes. Analysis of a biofluid-derived specific exosome retaining its biological activity is challenging and demands more careful studies in this field. Some issues that are proving as roadblocks in the path of exosomal application in liquid biopsies are discussed below.
Isolation/purification: The first challenge in exosomal analysis is their isolation and purification. Since exosomes are derived from different cell types and are isolated along with other cellular/molecular components, cellular debris act as contaminants which can hamper subsequent downstream analysis. Hence exosomal fraction needs to be purified before quantification. So far, several methods have been developed for exosomal isolation, including ultrafiltration, ultracentrifugation, density gradient centrifugation, size exclusion chromatography, polymer-based precipitation, size exclusion through membrane, cell sorting, immunoaffinity capture, microfluidics and commercial kits-based isolation. All isolation methods have their own demerits; some have low recovery rate, some are expensive and hectic while some methods are specific but not applicable to large volumes. Even the available commercial kits for exosomal isolation have limitations as they utilize buffers which can hamper the qualitative and quantitative analysis of exosomes. Recent studies have demonstrated that extracellular vesicles isolated through different methods show significant variance in the properties like total miRNA yield, etc127128. Therefore, there is an urgent need for the improvement of extraction/purification devices; moreover, the method of exosome isolation should be selected based on sample type, starting sample volume and subsequent downstream analysis129.
Normalization: Normalization and quantitation of genetic materials isolated from exosomes is also a major challenge. The exosomes isolated from a biofluid do not necessarily contain the genetic materials of targeted tissues. There is always only a fraction of exosomes that are specific to those targeted cells/tissues. Identifying this fraction of exosomes originating from the targeted cells or tissues would enable tracking changes in exosomal levels over time, attributing them to specific source tissues when multiple samples from various targeted tissues need to be collected simultaneously. Instead of theoretical considerations, only empiric determinations will be able to resolve these normalization challenges. The utilization of marker-free and marker-based characterization techniques will help us to ascertain the ratio of exosomes originate from targeted and non-targeted cells/ tissues within a mixed population.
Quantification: There are several methods that can be used to distinguish desired exosomes from other extracellular vesicles or contaminants. Characterization of the exosomes may involve either surface marker-based characterization or shape/size-based characterization. The common methods used for exosome characterization based on exosomal markers are flow cytometry, liquid chromatography, immune-blot analysis, mass spectrometry, western immune blotting and dot blot assay. Although the characterization of exosomes is still a challenge in the exosomal analysis, it is expected to be resolved soon with the use of a combination of micro flow cytometry with droplet based barcoding and sequencing of the RNA content of individual exosomes.
Yield optimization: Although exosomal analysis is being made easy by the introduction and evaluation of novel high throughput technologies for isolation, purification and characterization, it is still not regularly used in clinical investigations due to the requirement of much time and expertise. In order to use exosomes in liquid biopsies, yield optimization is another challenge that is being faced by this field. Yield optimization can be obtained through the development of a single-step device for isolation, purification and characterization of exosomes. Exosome culture may also be a better option to resolve this problem. The existing knowledge about exosomes is the result of the prolonged experimental analysis of cultured exosomes. The yield of exosomes for therapeutic use can also be improved by propagating cell lines of the exosomes derived from a single, well-defined cell type.
Clinical validation/reproducibility: Another challenge for exosomal use in liquid biopsies is clinical validation of exosomes and their comparison to other biomarker platforms. Validation of exosome dosage and potency is difficult due to the heterogeneous nature of the exosomes, derived from cells having different characteristics. Therefore, the exchange of data across various studies and clinical trials also becomes difficult130. Evaluation and standardization of efficacy and dosage of exosomes will help to compare the results across different studies131. For recruiting exosomes in clinical applications, immunogenicity, safety and stability of exosomes have to be investigated at each processing step132.
Disease-associated alterations: Despite technological obstacles, some disease-associated alterations are also posing impediments in this field. Some disease-associated alterations or spontaneous fluctuations in the contents of patient’s biofluid may introduce dynamic noises to the biomarker analysis, which are inevitable and difficult to handle. There must be a strict defining collection protocol so that these introduced dynamic noises can be mitigated to some extent. Despite technical advancements and improvements, there must be a rigorous scrutiny for the selection of these exosome-derived biomarkers before their use as a liquid biopsy tool to increase sensitivity and diagnostic accuracy.
Technical advancements in exosome-based liquid biopsy
The increasing involvement of exosomes in clinical research, entail endeavours to deal with all the associated limitations. In the past few years, the research in exosomal science has witnessed some revolutionary advancement with noticeable increase in the development of numerous highly advanced techniques for isolation, quantification and analysis of exosomes. The rapidly growing field of exosomes requires an automated, fast and user-friendly method that is efficient for further downstream applications. Moreover, MISEV 2018 guidelines strictly recommended (i) determination of quantitative measures of source material along with the quantification of EVs, (ii) characterization of EVs to reassure of having abundant EVs (number of particles, amount of proteins/ lipids), (iii) determination of the presence of associated components, i.e. positive marker (unique for EV subtypes) and (iv) determination of the presence of non-vesicle components, i.e. negative marker for each preparation of EVs14. Therefore, some novel extraction methods or the combinations of methods have been applied in some recent clinical trials with the aim of higher exosome yield, purity and feasibility to downstream applications; like Vn96-peptide-based method133 anion-exchange method134 exosome total isolation chip135 various microfluidic platforms136 and combination of size exclusion chromatography with ultrafiltration.
After isolating exosomes, their characterization is a crucial step for the determination of the quality and quantity of these exosomes, especially when these are to be used in some medical interventions such as liquid biopsies or therapeutic usage. Characterization of exosomes ensure that the particular biomarker or the therapeutic effect is associated with exosomes only and not with any other sources such as cell debris or some other content isolated with these exosomes. General steps of characterization of exosomes include:
Quantification: As per the new recommendations from MISEV, both exosomes and the source of exosomes should be quantitatively measured and mentioned in each experimental preparation14. The source of the exosomes can be indicated as volume/weight/size of the biological sample, mentioning of the type of biological fluid (blood or urine etc.,) is equally important. The most commonly used quantification methods for exosomes are the estimation of total particle number and total protein amount. Particle number can be measured by various light scattering methods such as nanoparticle tracking analysis, high-resolution flow cytometry and dynamic light scattering137.
The total protein can be measured by sodium dodecyl-sulfate polyacrylamide gel electrophoresis and other colorimetric methods such as bicinchoninic acid or bradford method. Despite total protein amount, the total lipid amount can also be determined for quantification of exosomes. For the reliability of quantity, MISEV recommends the reporting of ratios of protein/lipid to total particles along with the global quantification measures14.
Characterization on the basis of protein content: Evaluation of some important protein markers provides a way to characterization of exosomes. According to the MISEV guidelines, at least one protein marker from each following category should be evaluated for the characterization of extra-cellular vesicles: (i) one transmembrane /lipid-bound protein, (ii) one cytosolic protein with membrane or lipid binding ability, (iii) one negative protein marker which is not part of EV but generally co-isolated during EV preparation, (iv)one positive protein marker that distinguishes the EV subtype and (v) one luminal protein with functional activities and the mode of its association with EVs14.
Characterization on basis of single vesicle analysis: The MISEV2018 guidelines recommend reporting of single vesicle analysis results with both close-up as well as and wild field images at high resolution by scanning probe microscopy, atomic force microscopy or super resolution microscopy techniques. MISEV further recommends the analysis using single-particle analyzer such as multi-angle light scattering coupled to asymmetric flow field-flow fractionation (AF4), high-resolution flow cytometry, fluorescence correlation spectroscopy or Raman spectroscopy. Recommendations for the characterization of EVs by MISEV include assessing the topology of EV-associated components, which can be determined by digestion (nuclease and protease), permeabilization and other antibody studies14.
The possibility of the isolation of exosomes specific to diseased cells through specific exosomal surface markers and the application of highly sensitive technologies for the detection and analysis such as BEAMing technology, qNANO GOLD, WES (Whole-exosome sequencing), Tam-seq (Tagged-amplicon deep sequencing), LFIA (Lateral Flow Immuno Assay), ARMS (amplification of refractory mutation system), SPR (surface plasmon resonance) and FFS (fluorescence fluctuation spectroscopy), NGS, digital PCR and PointMan™ DNA enrichment technology will allow the complete assessment of the disease. ‘Lab on a chip’ platforms, in combination with NPs have further improved the efficiency of exosomal analysis in the context of medical intervention.
Commercialization of exosome-based techniques and products
Exosome-based technologies have a promising commercial market lately. In recent years, recognizing the potential of exosomes in disease diagnosis and therapeutics, a large number of commercial companies have emerged and/or begun to invest in the development and production of exosome-based products. These companies are biotechnological/ pharmaceutical firms that are engaged in developing exosome-based techniques and products and launching them in the market. Some of these recently developed exosome-based techniques and products, along with the developing companies are listed in Supplementary Table I.
| Company/firm | Achievement/product/device |
|---|---|
| Exosome Diagnostics | ExoLution™ Plus: To measure exoRNA to further enhance mutation detection |
| Exolution™ RNA: To analyze and quantitatively measure small and long RNAs | |
| EDDE™: Platform to selectively enhance exosome selection using tissue-specific biomarkers | |
| PureTech Health in collaboration with Roche Ltd. | Milk exosome-based technology: Facilitate oral administration of agents such as small molecules, nucleic acids and biologics. |
| BioTechne (generated by Exosome Diagnostics) | The EPI test Exosome-based detection of EGFR T790M |
| CodiakBioSciences | ExoSTING™: An engineered exosome therapeutic |
| exoIL-12™: An engineered exosome therapeutic candidate to inhibit tumor growth | |
| exoVACC™: Exosome based vaccine plateform | |
| Avalon GloboCare | Salivary-based exosome miRNA biomarker-miR-185 (in collaboration with Genexosome |
| Technologies | |
| Identification of human angiogenic exosomes | |
| ACTEX™: Avalon Clinical-grade Tissue-specific Exosome (in collaboration with Weill Cornell Medicine) | |
| Exopharm | LEAP technology for the purification of exosomes for making proprietary exosomes |
| Plexaris™: Platform of exosomes from platelets for wound healing | |
| Anjarium Biosciences | HybridosomeR: Technology to engineer exosomes to address the therapeutic areas of cancer and rare genetic diseases |
| Exosomics Siena S.p.A. | SeleCTEV™ DNA and SortEV™ RNA: Advanced and easy-to-use liquid biopsy solutions for the targeted isolation of tumor-derived exosomes from body fluids. Subsequently, nucleic acids (DNA or RNA) can be extracted from these exosomes. |
| Kimera Labs | MSC derived exosomes for orthopedic, cosmetic and regenerative medicine applications |
| Evox Therapeutics | DeliverEX™ platform: to deliver protein and nucleic acid-based therapeutics to treat life-threatening rare diseases |
| ReNeuron | ExoPro: CTX cell line-derived exosome therapeutic candidate to deliver the drugs |
EDDE, exosome diagnostics depletion or enrichment; EPI, ExoDx prostate (IntelliScore); LEAP, ligand-based exosome affinity purification; MSC, mesenchymal stem cells
In general, exosomes used in clinical interventions are regulated as drugs and biological products under the Public Health Service Act and the Federal Food Drug and Cosmetic Act and require FDA approval under ‘Public Safety Notification’ released on December 6, 2019. Aegle Therapeutics Corp. was first to receive FDA approval for its exosome-based product to begin clinical trials in burn victims in April 2018138. Numerous companies have developed their exosome-based diagnostics and therapeutic platforms for further clinical applications. The ExoDx Prostate (IntelliScore) EPI test is the exosome-based diagnostic test for prostate cancer, which was developed by Exosome diagnostics (Exosome Dx) now part of Bio-Techne132. Another biomarker-based test developed by this firm is also an exosome-based detection of EGFR T790M in NSCLC cases which avoids unnecessary tumour biopsies and is more sensitive and specific compared to traditional cfDNA-based tumour biopsies92.Avalon GloboCare Corp. in collaboration with GenExosome Technologies, has also developed diagnostic tests for the detection of saliva-based exosome miRNA biomarker-miR-185139 and for the identification of human angiogenic exosomes140. ExoSTING™ and exoIL™ developed by Codiak Biosciences are the engineered exosomes to be used for therapeutic purposes141142.
Conclusions and future prospects
In the era of evolving minimally invasive diagnostic approaches and precision medicine, the considerable limitations of tissue biopsy have been gradually recognized and liquid biopsy is gaining widespread traction as a non-invasive, rapid and repeatable approach to be used in clinical settings. It is expected that liquid biopsy will drastically revolutionize future diagnostics and patient care and the market of liquid biopsy is likely to increase at the compound annual growth rate of ~19 per cent between 2021 and 2032143. In recent years, exosomes have been demonstrated to have a great potential to serve as novel biomarkers in liquid biopsy and provide new prospects for early diagnosis, prognosis, monitoring of treatment response and progression of communicable and non-communicable diseases. Despite the myriad advantages, the use of exosomes-based liquid biopsy in clinical settings is in its early stage and is still not considered as a standard method for diagnosing different diseases, including cancer. Currently, the clinical applications of exosome-based liquid biopsy are greatly restrained by the lack of effective enrichment technologies for the isolation and categorization of exosomes with high efficiency and purity from different body fluids, highly sensitive tools for the specific detection of exosome content and elevated cost. Although in recent decades, tremendous progress has been made and various methods/technologies have been developed for the isolation of exosomes as well as analysis of the molecular content of the exosome144. However, a standardized protocol for the high-throughput isolation with high-purity, categorization and quantification of exosomes from different body fluids (i.e.plasma, blood, urine, etc.) is not available. Most of the newly developed platforms for the detection of the molecular content of exosomes suffers from limited sensitivity due to the high heterogeneity of different exosome subsets in total exosomes derived from body fluids. The further advancement in technology for the detection and analysis of single exosome may reveal the distinct molecular profile of specific exosomes and can provide accurate information related to particular disease/condition. Therefore, more concerted efforts are required for the development and/or improvement of new cost-effective platforms/techniques with high-sensitivity, high-specificity and high-purity for exosome isolation and detection of molecular content. Since the content of exosomes critically depends on the stimulation and the donor cell environment, the documented disease-specific exosomal biomarkers need to be validated in a different population, including patients with comorbid/coinfection conditions for establishing exosomes as liquid biopsy tool in routine clinical practices.
Financial support and sponsorship
This study received financial support from Indian Council of Medical Research (ICMR), New Delhi (No: 5/5/8/5/19/2014-ECD-I). The first author, RY received fellowship support from Department of Science and Technology, New Delhi (Fellowship No: SR/WOS-A/LS-129/2018).
Conflicts of interest
None.
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