Exosomes as diagnostic and predictive biomarkers in lung cancer
Review Article

Exosomes as diagnostic and predictive biomarkers in lung cancer

Pablo Reclusa1*, Simona Taverna1,2,3*, Marzia Pucci1,2, Elena Durendez1,4, Silvia Calabuig5,6, Paolo Manca1, María José Serrano7,8, Laure Sober9,10, Patrick Pauwels9,10, Antonio Russo11, Christian Rolfo1

1Phase I-Early Clinical Trials Unit, Oncology Department, Antwerp University Hospital (UZA) and Center for Oncological Research (CORE) Antwerp University, Antwerp, Belgium; 2Biopathology and Biomedical Methodology, Biology and Genetic section, University of Palermo, Palermo, Italy; 3Institute of Biomedicine and Molecular Immunology (IBIM), National Research Council, Palermo, Italy; 4Molecular Oncology Laboratory, Research Foundation, Hospital General Universitario de Valencia, Valencia, Spain; 5CIBERONC, Madrid, Spain; 6Department of Pathology, University of Valencia, Valencia, Spain; 7GENYO, Centre of Genomics and Oncology, Pfizer-University of Granada-Andalusian Government, Granada, Spain; 8Department of Legal Medicine, Laboratory of Genetic Identification-UGR, University of Granada, Granada, Spain; 9Center for Oncological Research (CORE), University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium; 10Department of Pathology, Antwerp University Hospital, Wilrijkstraat 10, 2650 Antwerp, Belgium; 11Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy

Contributions: (I) Conception and design: P Reclusa, S Taverna, C Rolfo; (II) Administrative support: P Reclusa, S Taverna, M Pucci, E Durendez, P Manca, C Rolfo; (III) Provision of study materials or patients: P Reclusa, S Taverna, M Pucci, L Sober, P Pauwels, C Rolfo; (IV) Collection and assembly of data: P Reclusa, S Taverna; (V) Data analysis and interpretation: P Reclusa, S Taverna, M Pucci, S Calabuig, MJ Serrano, A Russo; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

*These authors contributed equally to this work.

Correspondence to: Prof. Dr. Christian Rolfo. Head of Phase I-Early Clinical Trials Unit, Oncology Department, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Belgium. Email: christian.rolfo@uza.be.

Abstract: The concept of exosomes has evolved from be considered garbage bags to the demonstration that exosomes could play very interesting roles and functions, from biomarkers detection to the potential of work as drug delivery systems. It has been widely proved that exosomes can contain key molecules important for the tumour development. The current review summarizes the latest investigations developed in the field of predictive exosomal biomarkers. The microRNAs (miRNAs) are the more known molecules due to their amount inside the exosomes and the sensitivity of the techniques available for their study. However, exosomal proteins, RNA and DNA are becoming an interesting and more feasible field of study due to the improvement in the techniques available for their analysis. In the future years, it is hoped that exosomes will become an established member of the liquid biopsies in the clinical practice due to their diagnostic and prognostic properties.

Keywords: Exosomes; liquid biopsies; biomarkers; non-small cell lung cancer (NSCLC); drug resistance


Submitted Sep 19, 2017. Accepted for publication Oct 13, 2017.

doi: 10.21037/jtd.2017.10.67


Exosomes

Exosomes are small nanovesicles, in a range between 30 to 150 nm. Were first describe in 1983 in two paper published simultaneously (1,2). Exosomes are exocytosed by every cell in a constitutive manner, however, it has been demonstrated that tumour cells release higher amounts of exosomes than healthy ones and they can be found in different body fluids such as blood, semen, or ascites.

When discovered, exosomes were considered the garbage bags where the cells ousted the undesired components from themselves, however it has been demonstrated the implications of the exosomes in different functionalities of the tumour such as, immunomodulation (3), pre-metastatic niche formation (4), tumour growth (5), treatment resistance mediation (6) and more recently, exosomes mediated drug expulsion (7). Moreover, exosomes have been described to content messenger RNA (mRNA), microRNAs (miRNAs), double-stranded DNA (dsDNA) and proteins that could serve as diagnostic, predictive and prognostic biomarkers for the different tumours. More importantly, if exosomes are understood as horizontal cell communicators between cells, their content could mirror the one from the cell of origin; giving rise to a new and accessible source for tumour profiling analysis.

Extracellular vesicles such as exosomes accomplish a wide number of vesicles differing in size, origin and composition. Apoptotic bodies are big size vesicles ranging from 1,000 to 5,000 nm, smaller, macrovesicles can be found ranging from 200 until 1,000 nm, and in the small spectrum exosomes can be found ranging between 50 and 200 nm (8). However, due to their common multivesicular body (MVB) origin, all exosomes have a common profiling that allows their identification, based on different membrane proteins such as ALIX, TSG101 and CD63.

Different methods for exosomes isolation have been successfully used. The most common methods are ultracentrifugation and sucrose density-gradient ultracentrifugation or exosomes immunoprecipitation. However, recently new isolation methods have been used such as extracellular vesicle array or immunobeads precipitation (9,10). Both methods are based on antibodies recognition. Many other exosomes isolation kits have been developed recently based on filtration columns (11).


Exosomes biogenesis and trafficking

Originally, exosomes were thought to be released directly through fusion with the plasmatic membrane. However, was not until the 80s when it was described the existence of an intracellular endosome, that leaded to the formation of an MVB, that later, could release exosomes through fusion with the plasma membrane (2).

The endosomal sorting complex required for transport (ESCRT) was firstly described to control the exosomes formation inside the MVB. It consists in four main complexes with other auxiliary proteins. The ESCRT-0 controls the cargo clustering in a ubiquitin dependent manner. The ESCRT-I and II induce the bud formation in the MVB and the ESCRT-III induce the vesicle scission from the MVB membrane. The auxiliary VPS4 protein is in charge of recycling the ESCRT machinery (12) (Figure 1). Until recently, the ESCRT mechanism was the only known to induce the exosomes formation, however, in the last years; many articles have been published demonstrating alternative pathways for the exosomes formation ESCRT-independent. These mechanisms include proteins known to be present in the exosomes. The cholesterol has been described to induce the vesicles secretion in Flotillin-2 dependent manner (13). The phospholipase D2 (PLD2), increase the production of the intraluminal vesicles in the MVB through the increase of the inward curvature of the MVB membrane (14). Moreover, different tetraspanins have been demonstrated to have any active role in the mRNA and protein cargo sorting in the exosomes (15,16).

Figure 1 Detailed process of exosomes formation from the early endosome to the exosomes recreation. ESCRT, endosomal sorting complex required for transport.

Once the exosomes are in the luminal space of the MVBs, SNARE family, and concretely, VAMP-7 could be enhancing the membrane fusion between the MVBs and the plasma membrane. However, the inhibition of the proteins from the SNARE family does not result in the complete depletion of exosomes secretion, suggesting other proteins could play this role (17,18). Finally, the exosomes secretion is mostly induced by proteins from the RAB family such as RAB27a and RAB27b (19).


Exosomes as markers for non-small cell lung cancer (NSCLC)

One of the most attractive aspects of exosomes research is the discovery of novel biomarkers for the early and improved detection of lung cancer (20). The content of the exosomes has been widely described in different tumours. miRNAs are probably the most studied molecules inside the exosomes. Among miRNAs, miRNA-21 have been widely described in NSCLC exosomes, and its impact in other malignancies has been described in several reports related with tumour growth in both haematological and solid malignancies, for example, in diffuse large B-cell lymphoma the AKT signalling pathway is constitutively activated due to the over expression of miR-21 that leads to the suppression of forkhead box protein O1 expression and the downregulation of PTEN expression, leading to a poor prognosis of the disease (21,22). Regarding the solid tumours, breast cancer and colorectal cancer have been demonstrated to upregulate miR-21 in advanced stages leading to a poor prognosis of the disease and high risk of metastasis (23,24). Also, mRNA have been described in the exosomes also as a possible predictive biomarker that could help to improve, in a non-invasive way, the treatment choice and to predict the resistance before clinical significances appear (25). Many proteomic studies have been performed in different tumours inside the exosomes with successfully results, being able to create protein profiles with diagnostic and prognostic functions, and also to identify exosomal proteins that can play key roles in the receptor cells (25,26). In the last years and since the discovery of the exosomal dsDNA in 2014 (27), the studies on the field has increased exponentially.

Many correlations have been found between tissue biomarkers and exosomal biomarkers in different tumours opening the door to improve our detection of diagnostic, predictive and prognostic biomarkers. Although none has been yet validated for NSCLC analysis, in the following paragraphs the main advances and most promising markers will be described. A summary of all the markers described can be found in Table 1.

Table 1
Table 1 Summary of the predictive exosomal components described until now, including their utility and their values represented by sensitivity, specificity and AUC if possible
Full table

miRNA

miRNAs are small non-coding RNAs. They are recognized to regulate a number of genes by binding to the 3’UTR of their target mRNA, resulting in the alteration of the targeted gene expression. A single miRNA can influence multiple genes in a single cell. The utility of miRNAs for cancer study has been largely described. Unlike circulating miRNAs, exosomal miRNAs are protected from the degradation by RNAse in the blood torrent (47), thus miRNAs could serve as a useful tool in three fields of study; diagnostic of NSCLC, prognosis against a treatment and risk of resistance after a therapy.

The first group of miRNAs was described to be useful to predict NSCLC over healthy patients by Rabinowits et al. in 2009, it consists of 12 miRNAs, miR-17-3p, miR-21, miR-106a, miR-146, miR-155, miR-199, miR-192, miR-203, miR-205, miR-210, miR-212 and miR-214, which were present in NSCLC both in tissue and in circulating exosomes being their levels non-detectable in healthy donors (28). In the same paper, they described that the miRNA levels inside the exosomes derived from NSCLC were higher compared to those from healthy donors (28). Cazzoli et al. were the first groups to develop 2 miRNA profiling, one for screening based on 4 miRNAs, miR-378a, miR-379, miR-139-5p and miR-200-5p, and one for diagnosis based on 6, miR-151a-5p, miR-30a-3p, miR-200b-5p, miR-629, miR-100 and miR-154-3p, both extracted from a wide analysis of 746 miRNAs analysed on a training set of 3 groups: lung adenocarcinomas, lung granulomas, healthy former smokers. These profiles were confirmed in a validation set of 50 patients. In the case of the screening test the sensitivity was 97.5% for 72% specificity and an area under the curve (AUC) value of 0.908 while the diagnostic test exhibited a sensitivity of 96% for 60% of specificity with an AUC value of 0.76 (29). More recently, Jin et al. has developed a miRNA profile based on 4 miRNAs, let-7b-5p, let-7e-5p, miR-23a-3p, and miR-486-5p that exhibited sensitivity of 80.25% and a specificity of 92.31% with an AUC value of 0.899 being able to diagnose 43 NSCLC over 60 samples. In the same paper, levels of miR-181b-5p and miR-361b-5p, as well as miR-10b-5p and miR-320b were used to identify among the 43 patients 31 adenocarcinoma patients and 11 squamous cell carcinoma (SCC) patients respectively. The miRNA for adenocarcinoma and SCC diagnosis showed an AUC value of 0.936 and 0.911 respectively with a sensitivity of 80.65% and a specificity of 91.67% for adenocarcinoma and a sensitivity of 83.33% and a specificity of 90.32% for SCC (30).

One of the big problems of NSCLC is the high rates of progression and recurrence of the patients; thus, tools to predict this behaviour are needed to improve the medical treatment choices in the clinic. Many miRNAs have been reported to be differentially expressed in situations where the tumour is progressing before it is a detectable under computerize tomography (CT) scan.

The downregulation of the miRNA-146-5p is indicative of a poor progression free survival (PFS) compared to those patients with higher levels of the miRNA inside the exosomes. Moreover, its levels are correlated to the chemosensitivity of the tumour to Cisplatin mediated through the blockade expression of Atg12, an autophagy mediator gene (31). In another study with 10 lung cancer patients and 10 healthy controls, 83 cancer-related miRNAs were analysed. After informatics analysis, 9 miRNAs were differentially expressed and validated in a subset of 209 NSCLC patients. From those, miR-23b-3p, miR-10b-5p and miR-21-5p were validated as upregulated miRNAs in NSCLC compared to healthy controls. Separately, the 3 miRNAs showed significantly low overall survival in those patients with higher levels of the miRNA in their exosomes compared to those with low levels. Moreover, the 3 miRNAs model improves the AUC value from 0.88, from only the clinical variables, to 0.91 analysing both the miRNAs expression and the clinical variables such as sex, or tobacco consumption (32). Exosomal miRNA has been described also to play a role in the predictive response to a treatment as it has been explained before with the miRNA-146-5p (31). Two other independent studies show that upregulation of miR-1246 and miR-208-a is correlated with a high proliferation of the tumour and a resistant profile to radiotherapy by targeting the genes DR5 and p21 respectively. This could lead not only to a prognostic biomarker but to a new target against NSCLC (33,34). The miR-21 and miR-4257 were found among a subset of patients with recurrence after surgery, without recurrence and healthy donors. These results were validated in 201 cases with an upregulation of 2.5- and 2.9-fold of increase respectively between recurrence patients and healthy donors. Moreover, it was demonstrated that the disease-free survival-similar to PFS, was lower in those patients with high expression of both miRNAs considered high more than the mean of the expressions. They described also the correlation of the over expression of miR-21 with the tumour size and TNM stage, and the correlation between de levels of miR-4257 and lymphatic node invasion, histological type and TNM stage (35).

One of the problems of the research and analysis of exosomes is the amount of material available. In another study, exosomes isolated from H1299 (NSCLC cell line) and Beas-2b (bronchial-epithelial cell line), and isolated from mouse with H1299 after surgery, some being recurrent and some not. The authors faced a very low-positive amplification rate due to the low amount of extracted RNA, and high variability between replicates and groups. However, despite the low amplification rates, the authors showed that miR-21 and miR-155 may be upregulated in the group of mice recurrent after surgery in comparison with primary tumour mice (36).

One of the most significant papers regarding the utility of miRNA inside the exosomes has been recently published by Qin et al. They described that miR-100-5p is downregulated in exosomes derived from A549 resistant to Cisplatin (A549/DDP) in comparison with A549 wild-type. However, they saw that exosomes derived from A549/DDP were able to transfer Cisplatin resistance mediated by the binding of miR-100-5p to the 3’ UTR of mTOR gene. Same experiments were performed in vivo with mice inoculated in different conditions of exosomes derived from A549, A549/DDP and inhibitors and mimics of miR-100-5p being the mice with exosomes of A549/DDP transfected with miR-100-5p control mimic they group with a higher tumour growth, lower levels of miR-100-5p and higher levels of mTOR (37).

Contrary to what it has been shown in this review, some papers have demonstrated a negative correlation between tissue and exosomal miRNA levels. Our group published an abstract with a follow up analysis of patients during Osimertinib treatment, a third-line tyrosine kinase inhibitor. The treatment lead to an upregulation of oncomiRs (hsa-miR-221-3p/222-3p) in exosomes isolated from patient’s plasma respect to healthy control. However, the upregulation was correlated to a good clinical outcome suggesting that some these two miRNAs may be pump out of the cell due to the treatment (38).

All these studies suggest that exosomal miRNA varies their composition depending on their cellular origin being able to differentiate between NSCLC subtypes, and due to their stability and the stability of their content they may be perfect candidates for the diagnosis, or prognosis of NSCLC (29-31,36).

Exosomal protein

Exosomes can be considered as potential tools for tumour diagnosis and prognosis. These stable vesicles, contained in the blood stream, are tumour specific and protected from degradation by a lipid bilayer membrane. Recent studies identify the proteome of cancer exosomes; proteomic analyses show that several proteins are enriched in exosomes. These proteins are involved in exosome biogenesis, membrane transport and fusion and in various steps of tumour progression such as metastasis, angiogenesis and immunomodulation (48)

According to the database Exocarta (http://www.exocarta.org), 9,769 proteins have been identified in exosomes. Some exosomal proteins can mirror producer cells and pathological stage of disease (48). Moreover, some of these proteins play a key role in tumorigenesis. These features qualify exosomal protein as good diagnostic and prognostic potential biomarkers in lung cancer (49).

Lung cancer exosomes contain several tumours associated proteins, such as epidermal growth factor receptor (EGFR), KRAS, extracellular matrix metalloproteinase inducer (EMMPRIN), claudins and RAB-family proteins. CD91, CD317 and EGFR have been suggested as potential exosomal markers in NSCLC. Exosomal EGFR is one membrane-bound proteins that have been evaluated in NSCLC (39). Specifically, Huang et al. found that 80% of the exosomes isolated from NSCLC biopsies were EGFR positive (40).

Recently, it was tested exosomal proteins differential expressed in normal bronchial epithelial cells and NSCLC cells using a triple SILAC quantitative proteomic method. They found that NSCLC exosomes are enriched in proteins involved in cell signalling, cell adhesion extracellular matrix remodelling. They identify and quantify 721 exosomal proteins derived from three cell lines. Among the proteins associated with signal transduction, enriched in NSCLC exosomes, EGFR and SRC are upregulated as well as downstream effectors such as growth factor receptor-bound protein 2 (GRB2) and RALA. Moreover, it was demonstrated that MET receptor, RAC1, and KRAS proteins were increased in NSCLC exosomes (41).

Furthermore, Sandfeld-Paulsen demonstrated that in a cohort of 276 non-selected NSCLC patients of all stages, it was evaluated 49 exosomal membrane bound proteins and found that nine proteins have a potential as prognostic marker in NSCLC. In particular, they indicate that increasing concentration level of NYESO-1, EGFR and PLAP are prognostic markers of poor prognosis (42). Proteomic analysis of exosomes isolated from human malignant pleural effusions demonstrated that these vesicles contained MHC class I and II proteins, heat shock and cytoskeletal proteins, and signal transduction—involved proteins. These proteins have already been reported as constituent of exosomes from other origin.

Exosomes from malignant pleural effusions contain peculiar proteins, such as Sorting-nexin (SNX) family, a group of hydrophilic proteins involved in the intracellular trafficking of proteins to different organelles. Acidic ribosomal phosphoproteins, from the 60S subunit of ribosomes, interact with elongation factors EF-1 and EF-2 and play an important role in the elongation step of protein synthesis. The presence in exosomes of proteins involved translation in may also be explained by their high concentration in the cytosol of cancer cells (50)

Nowadays, in the field of the biomarker discovery, the methodology that focuses only on a single exosome-protein has been overtaken that multiple protein markers panel (8). In particular, Jakobsen and colleagues used an extracellular vesicle array with 37 antibodies to capture exosomes directly from the plasma of NSCLC patients, the result indicated that the sensitivity, specificity and diagnostic accuracy of combined 30-marker model (43). A recent study used the extracellular vesicle array with 49 antibodies. Among the 49 exosomal proteins, CD151, CD171, and tetraspanin 8, have been considered the strongest markers to identify lung cancer of all histological subtypes from the control. It could important not only to evaluate protein profiling of exosomes from different lung cancer stage and histology, but also as potential diagnostic tool for lung cancer (51).

RNA and DNA

Due to the difficulties working with exosomes, it has not been until recent years with the improvement in the sensitivity of the techniques and the discovery of the high throughput technologies, such as NGS, that exosomal RNA and DNA may become a real alternative to the tissue analysis.

Our group has recently described for the first time the anaplastic lymphoma kinase (ALK)-EML4 translocation inside the exosomes with a sensitivity of 64% and a specificity of 100% over a subset of 17 patients being 14 positive and 3 negative compared with tissue from the same patients (44). Just few months earlier, Krug et al. detected for the first time RNA transcribed from the EGFR gene, in a study comparing the analysis of ctDNA for EGFR mutation with a combined analysis of ctDNA together with exosomal RNA presenting a better sensitivity for all the analysed mutations (45).

In 2014, Thakur et al. described for the first time the presence, inside chronic leukaemia, human colorectal carcinoma, and murine melanoma derived exosomes (DEX) of dsDNA over other forms of DNA. However, the presence of exoDNA inside the lung cancer DEX was lower than the in other tumours. To conclude the research, the authors performed an analysis of exosomal EGFR in 4 NSCLC cell line with the objective of detecting mutations known to be present in those cell lines. The results showed that 100% of the exoDNA analysis were positive for the corresponding mutation (46).

ExoDNA may lead to improvements in the sensitivity and specificity of detecting tumour alterations that will prove useful in the clinical setting in the analysis of driver mutations (52). Moreover, their stability and abundance makes them very good candidates over other liquid biopsy compartments exposed constantly to the conditions of the blood stream.


Discussion and future perspectives

Exosomes is a relatively new field of study; thus, no established protocols are available for their isolation or analysis. However, and despite the lack of consensus about how to work with exosomes, many groups are publishing interesting researches on the field. These facts demonstrate that although there is still a long way to run in the understanding of exosomes and their functions, exosomes can play a role not only in the diagnosis and prognosis of cancer, but can help us to understand the mechanisms of the cancer, to elucidate new targets even to function as specific drug deliverers.

We have already written about the miR-100-5p described by Qin et al. In this case, miRNA does not play only a function of prognosis biomarker but induces a change in the receptor cell producing an increase in the resistance to cisplatin (37). Similar results were described by Liu et al. They saw that the upregulation of the gene TLR3 increase the cytokine production leading to pre-metastatic niche formation and metastasis. However, they saw that the activation of TLR3 in the lung epithelial cells was produced by exosomes derived from the tumour, and concretely, by different U1 snRNA presented in very high concentrations, compared to non-tumoral DEX (53). This means, that exosomes do actually play a function in the tumour progression and metastasis leading to new molecules that can be targeted in order to stop the tumour development.

Exosomes mirror the lipid bilayer present in the cells due to their exocytic origin, and, due to the same reason, they would be able to carry surface proteins and fuse with the membrane of the receptor cell to release their cargo, and due to their stability, they would be able to carry molecules of interest without risk of alteration or degradation (54). Based on this idea a Phase I immunotherapeutic study was carried on using Dendritic cell DEX loaded with Melanoma associated antigen (MAGE), the results showed a good NK reactivity with low side effects (55). In another study, it was analysed the effect of a second generation DEX coupled with chemotherapy showing a better activation of T cells compared to normal DEX resulting on a better control of the tumour (56). Very few research have been done in this field, but due to the autology on the use of DEX, it is easy to think that the side effects derived from an adjuvant therapy based on exosomes will not exceed the side effects of the principal therapy.

In conclusion, exosomes are still a new field of study, where a consensus is needed to be able to include protocols in the clinical practice as it is already established for Erlotinib and Osimertinib in EGFR mutation detected in cfDNA. Very few is still known about how to use exosomes as adjuvants in a therapy or as drug deliverers, however, the new technologies and investigations are bringing these advances closer in time. Also, there is a lack of information about how exosomes interact with other tissues in longer distances making difficult the understanding of their function in the tumour progression and metastasis. This current review has focused on how the exosomes can be the future of biomarkers identification for diagnostic and prognostic of NSCLC specially miRNA and proteins, the most studied. A deeper study of exosomes and its composition will lead to better biomarker identification and thus, an early detection of the tumour.


Acknowledgements

Elena Durendez has a predoctoral fellowship by Asociacion Española Contra el Cancer (AECC, Valencia, Spain) and Paolo Manca for his contribution creating the figure for this review.


Footnote

Conflicts of Interest: The authors have no conflicts of interest to declare.


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Cite this article as: Reclusa P, Taverna S, Pucci M, Durendez E, Calabuig S, Manca P, Serrano MJ, Sober L, Pauwels P, Russo A, Rolfo C. Exosomes as diagnostic and predictive biomarkers in lung cancer. J Thorac Dis 2017;9(Suppl 13):S1373-S1382. doi: 10.21037/jtd.2017.10.67