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Front. Cell Dev. Biol., 17 September 2021
Sec. Molecular and Cellular Oncology
This article is part of the Research Topic Extracellular Vesicles in Bone Oncology View all 9 articles

Extracellular Vesicles in Reprogramming of the Ewing Sarcoma Tumor Microenvironment

\r\nManideep C. Pachva,&#x;Manideep C. Pachva1,2†Horton Lai,&#x;Horton Lai1,3†Andy Jia,&#x;Andy Jia1,3†Melanie Rouleau,Melanie Rouleau1,2Poul H. Sorensen,*Poul H. Sorensen1,2*
  • 1Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
  • 2Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
  • 3Faculty of Science, University of British Columbia, Vancouver, BC, Canada

Ewing sarcoma (EwS) is a highly aggressive cancer and the second most common malignant bone tumor of children and young adults. Although patients with localized disease have a survival rate of approximately 75%, the prognosis for patients with metastatic disease remains dismal (<30%) and has not improved in decades. Standard-of-care treatments include local therapies such as surgery and radiotherapy, in addition to poly-agent adjuvant chemotherapy, and are often associated with long-term disability and reduced quality of life. Novel targeted therapeutic strategies that are more efficacious and less toxic are therefore desperately needed, particularly for metastatic disease, given that the presence of metastasis remains the most powerful predictor of poor outcome in EwS. Intercellular communication within the tumor microenvironment is emerging as a crucial mechanism for cancer cells to establish immunosuppressive and cancer-permissive environments, potentially leading to metastasis. Altering this communication within the tumor microenvironment, thereby preventing the transfer of oncogenic signals and molecules, represents a highly promising therapeutic strategy. To achieve this, extracellular vesicles (EVs) offer a candidate mechanism as they are actively released by tumor cells and enriched with proteins and RNAs. EVs are membrane-bound particles released by normal and tumor cells, that play pivotal roles in intercellular communication, including cross-talk between tumor, stromal fibroblast, and immune cells in the local tumor microenvironment and systemic circulation. EwS EVs, including the smaller exosomes and larger microvesicles, have the potential to reprogram a diversity of cells in the tumor microenvironment, by transferring various biomolecules in a cell-specific manner. Insights into the various biomolecules packed in EwS EVs as cargos and the molecular changes they trigger in recipient cells of the tumor microenvironment will shed light on various potential targets for therapeutic intervention in EwS. This review details EwS EVs composition, their potential role in metastasis and in the reprogramming of various cells of the tumor microenvironment, and the potential for clinical intervention.

Extracellular Vesicles

Extracellular vesicles (EVs) are membrane-bound particles in the subcellular size range carrying cargo released from cells. There exists three main types of EVs which are distinguished based on their size, biogenesis, and content: exosomes, microvesicles, and apoptotic bodies (Figure 1; Kerr et al., 1972; Johnstone et al., 1987; Heijnen et al., 1999). Apoptotic bodies are 1–5 μm in size, produced during apoptosis of cells (Table 1 and Figure 1C). Hence, they contain cellular fragments, such as intact organelles and nuclear fractions (Kerr et al., 1972). Unlike the other two types of EVs, apoptotic bodies do not have a known function in intercellular communication under normal physiological conditions (Colombo et al., 2014).

FIGURE 1
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Figure 1. Biogenesis of extracellular vesicles. (A) Exosomes: Starts with endocytosis-associated invagination of plasma membrane and forms an early endosome, late endosome, and sorted multivesicular body (MVB) by accumulating intraluminal vesicles, sequentially. MVB fuses with plasma membrane to release exosomes via exocytosis. (B) Microvesicles: Calcium ions released into the cytoplasm by endoplasmic reticulum cause the budding of microvesicles from plasma membrane via calpain- or gelsolin-mediated pathways. (C) Apoptotic bodies: An apoptotic cell undergoes sequential steps of large protrusions and blebbing of plasma membrane to release apoptotic bodies.

TABLE 1
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Table 1. Characteristics of extracellular vesicles subtypes.

Exosomes are the smallest of the three types of EVs, with a diameter of 40–140 nm. Exosomes are formed by the budding of the membrane of early endosomes to form intraluminal vesicles (ILVs), turning the endosomes into multivesicular bodies (MVBs) (Table 1 and Figure 1A; Hurley, 2008). Exosomes are released from cells upon the fusion of MVBs with the plasma membrane. The endosomal sorting complexes required for transport (ESCRT) pathway is the key modulator of MVB synthesis in which the ESCRT protein complexes guide intracellular vesicles to their destinations within cells and also direct MVBs toward the plasma membrane (Colombo et al., 2013). Other mechanisms, such as the tetraspanin and ceramide pathways, are known to regulate the formation of ILVs. The tetraspanin CD63 was shown to regulate the sorting of proteins into ILVs and thus the budding of exosomes (van Niel et al., 2011). On the other hand, the sphingolipid ceramide triggers the budding of ILVs (Trajkovic et al., 2008). It was also recently found that caveolin-1, a membrane-associated scaffolding protein, regulates levels of cholesterol in MVBs and hence the biogenesis of exosomes (Albacete-Albacete et al., 2020). Given that ILVs are composed of membrane components, derived from the budding of endosomes via multiple pathways, these proteins and lipids may be present on the surface of exosomes and differ depending on their mechanism of formation. Although the tetraspanins CD63, CD81, and CD9 are not required for exosome biogenesis via the ESCRT-dependent pathway, they are enriched on the surface of exosomes (Escola et al., 1998; Heijnen et al., 1999; Kowal et al., 2016). Hence, these three tetraspanins have been traditionally used as markers for exosome identification (Table 1; Kowal et al., 2016). However, the tetraspanin-enriched exosomes lack cytosolic proteins such as pyruvate kinase and enolase previously thought to be common in exosomes, suggesting the presence of a class of non-classical exosomes devoid of these three tetraspanin markers (Jeppesen et al., 2019). Meanwhile, other previously identified exosomal markers, such as MHC molecules and heat shock protein 70, were refuted since they are also present in other EVs (Kowal et al., 2016).

Microvesicles are a larger class of EVs with a diameter ranging from 100 nm to 1 μm (Heijnen et al., 1999). The synthesis of microvesicles results from the outward budding and shedding of the plasma membrane (Table 1 and Figure 1B; Heijnen et al., 1999). Intracellular Ca2+ levels modulate the biogenesis of microvesicles by affecting the plasma membrane and cytoskeleton. Increased concentrations of cytosolic Ca2+ activate the protease calpain, leading to the proteolysis of cytoskeletal proteins (Pasquet et al., 1996). Following calpain proteolysis, Ca2+ also activates gelsolin, which cleaves actin filaments, enabling cytoskeleton remodeling for the release of microvesicles in lipid rafts or caveolae in the plasma membrane (Sun et al., 1999; del Conde et al., 2005). The proteins on the surface of microvesicles are acquired from the plasma membrane of donor cells, and hence may serve as markers for this type of EVs, including the previously described tetraspanins (Kowal et al., 2016). These proteins may also provide indications of the state of donor cells, as microvesicles from activated and apoptotic cells exhibit different surface markers (Jimenez et al., 2003). Recently, annexin A1 has emerged as a specific protein marker for microvesicles (Table 1). Annexin A1 was found in EVs similar in size to microvesicles that are produced by direct shedding from the plasma membrane of donor cells, but was undetectable in the CD63, CD81, and CD9 tetraspanins-positive exosomes (Jeppesen et al., 2019). Annexin A2 was also discovered in non-exosomal EVs, in a population potentially overlapping with annexin A1 EVs and microvesicles (Jeppesen et al., 2019). Given that EVs are lipid-bound vesicles generated via specific molecular pathways, their lipid composition may serve as a marker for each class of EV (Llorente et al., 2013; Singhto et al., 2019). Indeed, exosomes and microvesicles contain different sets of sphingolipids, exemplified by the validation of ceramide phosphates as a specific marker of urinary exosomes given its undetectable level in urinary microvesicles (Singhto et al., 2019). These novel markers may potentially be used to differentiate the two types of EVs, which is crucial for the characterization of their specific biological functions.

In addition to membrane-associated molecules derived from their membrane of origin, both exosomes and microvesicles contain soluble proteins and nucleic acids as cargos (Valadi et al., 2007; Guescini et al., 2009). Though the specific mechanisms of cargo sorting into EVs are unclear, ESCRT-dependent and ESCRT-independent pathways are believed to contribute to this process (van Niel et al., 2018). Selectivity for specific protein cargo is further regulated by diverse post-translational modifications, such as ubiquitination, sumoylation, and phosphorylation (Blot et al., 2004; Saman et al., 2012; Villarroya-Beltri et al., 2013). Caveolin-1 also controls sorting of exosomal protein cargo, in addition to exosome biogenesis (Albacete-Albacete et al., 2020). Regulation of the RNA content in EVs was shown to be achieved by RNA-binding proteins targeting RNAs to the site of EV synthesis to protect them from degradation or by recognizing specific sequence motifs to control exosomal sorting (Villarroya-Beltri et al., 2013). Meanwhile, the cargo sorting process may be altered in cancer to allow packaging of cancer-specific cargo in EVs (Welton et al., 2010; Ji et al., 2013; Thakur et al., 2014). Aberrant expression of oncogenic molecules like EWS-FLI1 and EV biogenesis molecules like caveolin-1 may deregulate various mechanisms in cells, thereby altering the repertoire of proteins, RNAs, and other biomolecules packaged in their EVs. Additionally, some pathways may potentially be manipulated during tumorigenesis to allow the predominant secretion of one type of EV, such as in hepatocellular carcinoma where long non-coding RNAs are upregulated to enhance exosome secretion (Cao et al., 2019; Yang et al., 2019). Once released by donor cell, the uptake of EVs by a recipient cell may occur through two processes: endocytosis or direct fusion with the plasma membrane of a recipient cell (Morelli et al., 2004; Parolini et al., 2009). Internalization of EVs releases the cargo of donor cells into recipient cells, enabling intercellular communication. In recipient cells, EVs may induce changes in cell phenotype by the transfer of morphogens, such as Hedgehog proteins in humans and Wingless proteins in Drosophila, to establish a gradient in tissue, whereby signals state cell maintenance or differentiation (Greco et al., 2001; Martínez et al., 2006). EVs may also transfer receptors such as B1-receptor to allow stimulation of an inflammatory response by agonists (Kahn et al., 2017). In tumorigenesis, EVs may transfer oncogenic proteins as cargo, as depicted by the transmission of EGFRvIII receptor from glioma cells to induce oncogenic activity in other cells (Al-Nedawi et al., 2008). The intercellular communication functions of EVs are also exploited by cancer cells to modify the tumor microenvironment (TME) and normal cells within it.

Ewing Sarcoma

Ewing sarcoma (EwS) is an aggressive bone and soft tissue sarcoma that is the second most common bone tumor in children and young adults (Grünewald et al., 2018). The peak incidence of EwS occurs at age 15, being more frequent in males than females with a ratio of 3:2. EwS patients with localized disease have a 5-year overall survival rate of ∼65–75% (Gaspar et al., 2015). However, approximately 20–25% of patients present with metastasis at diagnosis, which is associated with a dismal survival rate of <30% which has not improved for decades (Gaspar et al., 2015).

Ewing sarcoma is characterized by the presence of chromosomal translocations, most commonly the t(11;22)(q24;q12) chromosomal abnormality found in 85% of EwS cells (Delattre et al., 1992). This results in the fusion of the FET family gene EWSR1 with the ETS family gene, FLI1. The expression of EWS-FLI1 oncogenic chimeric fusion protein functions as a chimeric transcriptional activator modulating the expression of downstream target genes leading to key tumorigenic events in EwS (Delattre et al., 1992; Ohno et al., 1993). Epigenome profiling shows that EWS-FLI1 functions as part of a crucial chromatin remodeling complex that drives epigenetic reprogramming by inducing and suppressing cell type-specific enhancers to regulate the activation of spatial and temporal components of gene expression in tumors and likely indirectly, in the TME (Tomazou et al., 2015; Sheffield et al., 2017). EWS-FLI1 uses divergent chromatin remodeling mechanisms to induce an open chromatin state of GGAA microsatellites, creating EwS-specific enhancers that physically interact with target gene promoters and/or enhancers, inducing oncogene activation and repressing tumor suppression (Riggi et al., 2014; Johnson et al., 2017). Additionally, EWS-FLI1 is known to regulate a number of non-coding RNAs, which in return could modulate gene expression and therefore could potentially act as epigenetic regulators in EwS tumorigenesis (Grünewald et al., 2018). In the remaining 15% of EwS negative for EWS-FLI1 fusion transcripts, fusion variants between EWSR1 and other ETS genes are found, mainly involving the ERG gene (Sorensen et al., 1994). Other EwS fusion transcripts have also been identified, such as EWS-ETV1, EWS-ETV4, and EWS-FEV, however, these fusions transcripts are rarely seen, compared to EWS-FLI1 and EWS-ERG fusions (Grünewald et al., 2018).

Despite extensive research on EwS genetics, the EwS cell of origin is still unknown. This is mainly due to difficulties in identifying an appropriate model to study the disease. Indeed, a permissive cellular model for the expression of EwS oncogenic chimeric proteins, mainly EWS-FLI and EWS-ERG, is mandatory given that their expression in primary cell lines result in cell death/growth arrest, whereas their expression in primitive cell lines results in incomplete differentiation (Kovar, 2005). However, multiple hypotheses do exist, such as the discovery that cell surface antigens in EwS may have a neuroectodermal lineage, suggesting the presence of a neural crest origin for EwS cells (Lipinski et al., 1986). This finding was supported by the high expression in EwS cells of genes found in neural and fetal tissues (Staege et al., 2004). Evidence also suggests a mesenchymal stem cell (MSC) origin for EwS cells as EWS-FLI1 fusion silencing causes the convergence of the EwS transcriptome toward that of MSCs (Tirode et al., 2007). Unfortunately, there are no known precursor lesions, preventing the study of early stage precancerous cells (Toomey et al., 2010). Studies using genetically modified mouse models were also unsuccessful to identify the molecular events of EwS tumorigenesis since genomic distribution of GGAA repeats is not conserved between human and mouse (Torchia et al., 2003; Gangwal et al., 2008; Lin et al., 2008).

Although systemic chemotherapy has improved survival for patients with localized disease (approximately 70%), overall survival for individuals with metastatic disease remains dismal (<30%) and has not appreciably changed for decades. For instance, results show that high dose chemotherapy with busulfan and melphalan to manage bone metastases has a 36% 5-year event-free survival rate (EFS) (Oberlin et al., 2006). Use of combined myeloablative therapy and stem cell transplant for patients with metastatic disease showed a 20% 2-year EFS (Meyers et al., 2001). Novel therapeutic interventions for EwS are needed to increase this historically low survival rate seen in patients with metastatic disease (Lawlor and Sorensen, 2015). Therapies targeting EwS EVs could shift the current EwS treatment paradigm by abrogating intercellular communications within the EwS TME, thereby representing a highly innovative therapeutic strategy in EwS. In addition, a deep examination of EVs and their content could also be used as a tool to assess therapeutic response, making them very attractive for multiple clinical applications.

Ewing Sarcoma-Derived Extracellular Vesicles

Research into EVs in the context of EwS is fairly recent, as EwS EVs were first discovered in 2013 by the detection of exosome-associated markers, the tetraspanins CD63 and CD81 shed by EwS cell lines in vitro (Miller et al., 2013). Analysis of EwS cell line derived exosomal RNAs revealed a wide range of RNA species, with small RNAs accounting for a large proportion, resulting in an RNA profile distinct from that of donor cells (Miller et al., 2013). Miller et al. (2013) identified the EWS-FLI1 transcript in EwS exosomes, in addition to 11 transcripts overexpressed in EwS tissue compared to normal tissue, such as transcripts for genes involved in signaling pathways and pluripotency maintenance (Kawano and Kypta, 2003; Khalfallah et al., 2009; Richter et al., 2013). Similarly, EWS-FLI1 mRNA was detected in microvesicles along with the CD63 marker secreted from three EwS cell lines in vitro as well as secreted into the blood of mice harboring EwS xenografts (Tsugita et al., 2013). Evidence was also provided that through microvesicles, fusion transcripts could be transferred between different EwS cell lines (Tsugita et al., 2013). Although there is no evidence of direct involvement of EWS-FLI1 in regulating the biogenesis of exosomes, it was shown that expression of caveolin-1, a central regulator of exosome biogenesis and sorting of exosomal cargo, is directly regulated by EWS-FLI1 (Tirado et al., 2006; Albacete-Albacete et al., 2020). Accordingly, EWS-FLI1 may play a vital role in the biogenesis of exosomes and cargo sorting. However, in a study where EWS-FLI1 was expressed in mesenchymal cells, no increase in exosome yield was reported from these cells, compared to controls (Ventura et al., 2016). This could mean that EWS-FLI1 may only be involved in sorting exosomal cargo but not in the regulation of exosome biogenesis. EWS-FLI1 transcripts were also detected in microvesicles, which suggests that the fusion protein may also assist in cargo sorting of microvesicles (Tsugita et al., 2013). Nonetheless, the role of EWS-FLI1 in EV biogenesis and cargo sorting needs to be thoroughly investigated. Similar biomolecules are found as cargo of both exosomes and microvesicles, such as EWS-FLI1 transcripts, making it difficult to identify which type of EV is associated to a specific event of TME reprogramming based on cargo content. This could result from the widespread use of non-specific EV purification methods, leading to co-purification of multiple types of EVs, and from the lack of confirmation of EV type by specific markers. This emphasizes the importance of using a purification method specific to the studied EV type in addition to characterizing the purified EVs using specific markers. This will allow a deeper characterization of the roles of each EV type and their associated cargo in TME reprogramming.

Since monolayer cultures of EwS cell lines are not representative of the TME, a bioengineered tumor model was developed to better simulate the TME to study EwS EVs (Villasante et al., 2016). It was found that both the 3-dimensionality and extracellular matrix (ECM) composition of these bioengineered tumors influenced the size of EwS exosomes. Indeed, exosomes derived from tissue-engineered tumor had similar size distribution as those in EwS patients’ plasma and were significantly smaller than those detected in monolayer cultures, confirming the influence of the TME on EVs properties (Villasante et al., 2016). Consistent with previous studies, the mRNA of enhancer of zeste homolog 2 (EZH2) was detected in bioengineered tumor-derived exosomes, at a level similar to the one of plasma samples from EwS patients, but at a higher level than in exosomes secreted from monolayer cell lines (Miller et al., 2013; Villasante et al., 2016). EZH2 is a histone methyltransferase trimethylating histone H3 at Lys 27, and a transcriptional target of EWS-FLI1, which can form the Polycomb repressive complex 2 associated with the transcriptional repression of tumor suppressors such as p14ARF and p16INK4a (Varambally et al., 2002; Viré et al., 2006). Moreover, contents of exosomes from the bioengineered tumors were successfully transferred to human MSCs, osteoblasts, and osteoclasts, leading to an increase, no change, or a decrease in their EZH2 mRNA levels, respectively (Villasante et al., 2016). As osteoblasts and osteoclasts are present in bone microenvironment, their uptake of EwS EVs may potentially occur in vivo. Hence, although EwS-derived exosomes were shown to potentially mediate the interactions between EwS cells and the TME, the functional consequences of these interactions were only investigated recently.

Apart from mRNAs and proteins, miRNAs have also been found in EwS EVs (Table 2). It was found that CD99, a surface marker of EwS cancer cells, could be released through exosomes (Llombart-Bosch et al., 2009; Ventura et al., 2016). CD99 is involved in both physiological and pathological functions such as cell adhesion, migration, and differentiation (Schenkel et al., 2002; Cerisano et al., 2004; Ventura et al., 2016). When CD99 was silenced in EwS cell lines, the secreted exosomes contained increased levels of miR-34a, whose transfer repressed the Notch pathway in EwS recipient cells, inhibiting NF-κB transcriptional activity, and causing their neural differentiation similar to direct CD99 silencing (Ventura et al., 2016). A following study found that CD99-positive exosomes derived from CD99-expressing EwS donor cells led to increased proliferation, increased migration, and poor neural differentiation in EwS recipient cells compared to uptake of exosomes from CD99-silenced EwS donor cells (De Feo et al., 2019). CD99-silenced EwS cells exhibited reduced migratory ability, and their CD99-negative exosomes contained miR-199a-3p, thereby inhibiting growth and migration of recipient cells as seen in other cancers (Fornari et al., 2010; Henry et al., 2010; De Feo et al., 2019).

TABLE 2
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Table 2. Markers of extracellular vesicles derived from Ewing sarcoma cells.

In addition to influencing the size of EwS exosomes, it was also found that conditions of the TME impacts the cargo of exosomes, such as miR-210 (Kling et al., 2020). Under hypoxic conditions, proliferation of EwS cells was decreased, resulting in a decrease in the levels of exosomes secretion (Kling et al., 2020). Incubating these exosomes derived from hypoxic cells with EwS cells under normoxic conditions increased sphere formation, indicating that the hypoxic exosomes increased stemness of cancer cells (Kling et al., 2020). Similar to normoxic exosomes, hypoxic exosomes also had a wide range of RNA species, specifically small RNAs, but some were differentially regulated (Miller et al., 2013; Kling et al., 2020). miR-210 was one of the most upregulated miRNAs under hypoxic conditions in EwS cells and exosomes (Fasanaro et al., 2008; Kling et al., 2020). The packaging of miR-210 under hypoxic conditions was shown to be regulated by hypoxia inducible factor-1α, and the effects of miR-210 was proportional to their exosomal levels (Won Kim et al., 2009; Kling et al., 2020). In recipient cells, the acquired exosomal miR-210 induced sphere formation through the silencing of CASP8AP2, a proapoptotic factor whose inhibition promotes recipient EwS cell survival (Won Kim et al., 2009; Kling et al., 2020).

As depicted in multiple cancers, the TME is composed of a diversity of normal cells which are known to influence cancer progression (de Vos van Steenwijk et al., 2013; Kervarrec et al., 2018; Monteran and Erez, 2019). Therefore, EwS EVs are also expected to be absorbed by normal cells, hence having the potential to reprogram them through cargo transfer as seen with EwS recipient cells of miR-210. However, the exact effects of EwS EV uptake on the behaviors of normal cells, as well as the mechanisms underlying their modification, have yet to be directly investigated. Moreover, how EwS-specific cargos are selectively packed into different types of EVs remains to be determined. Given the distinct biogenesis mechanisms of exosomes and microvesicles, in addition to specific sequence motifs as a potential mechanism for sorting RNA cargo, it is expected that EwS-derived exosomes would carry to some extent a different set of cargo than EwS-derived microvesicles, suggesting potential variance in their cell reprogramming ability (Villarroya-Beltri et al., 2013; van Niel et al., 2018). Hence, the proportion of each type of EwS EV and their specific cargos should be considered when evaluating the repertoire of molecules that normal cells may receive from EwS EVs.

Reprogramming of Ewing Sarcoma Tumor Microenvironment

The TME contains cancer cells and non-malignant cells recruited to the tumor, such as cancer-associated fibroblasts (CAFs), immune cells, vascular cells, pericytes, and adipocytes (Whiteside, 2008; Balkwill et al., 2012). Through their interactions with malignant cells, non-malignant cells acquire tolerance toward the presence of cancer cells and can support tumor growth (Whiteside, 2008; Balkwill et al., 2012). Immune cells recruited to the TME are diverse, including T lymphocytes, B lymphocytes, macrophages, NK cells, and dendritic cells (DCs) (Balkwill et al., 2012). The cells are also surrounded by a non-cellular component, the ECM, which is mainly secreted by CAFs and is composed of collagen, laminin, and fibronectin (Henke et al., 2020).

Cancer-Associated Fibroblasts

Cancer-associated fibroblasts within the TME are represented by a heterogeneous population of cells with diverse characteristics, known to facilitate malignant cell migration and invasion by remodeling the ECM (Sugimoto et al., 2006; Sahai et al., 2020). Normal fibroblasts, MSCs, and endothelial cells may give rise to CAFs (Zeisberg et al., 2007; Spaeth et al., 2009; Kojima et al., 2010; Webber et al., 2010). Despite this, the majority of CAFs arise from local cells in the TME, and to a smaller extent from circulating bone marrow-derived cells (Arina et al., 2016). The transformation of normal fibroblasts into CAFs may be assisted by tumor-derived EVs. EVs from osteosarcoma cells were found to convert lung fibroblasts into CAFs in vitro (Mazumdar et al., 2020). Similar findings were also reported in breast, bladder, ovarian, and prostate cancers (Webber et al., 2015; Giusti et al., 2018; Goulet et al., 2018; Vu et al., 2019). Hence, EwS EVs could also have the potential to induce the conversion of fibroblasts into CAFs, influencing the levels of CAFs in the TME, though this has yet to be demonstrated (Figure 2).

FIGURE 2
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Figure 2. Schematic representation of Ewing sarcoma extracellular vesicle-mediated reprogramming of cells in the tumor microenvironment. Ewing sarcoma (EwS)-derived extracellular vesicles (EVs) may cause transformation of normal fibroblasts into cancer-associated fibroblasts that majorly support the cancer development. EwS-derived EVs may cause tumor-associated macrophages and dendritic cells to produce excessive pro-inflammatory cytokines and cause suppression of tumor specific immune response, and support both the cancer development and its progression. EwS EVs may inhibit T cell-mediated response by decreasing activation associated signals, thereby causing cancer progression.

Ewing sarcoma EVs could also further influence CAF phenotypes and promote cancer progression. One of the components of EwS EVs, EZH2 transcripts, could potentially alter CAFs, after EV uptake (Miller et al., 2013). In systemic sclerosis (scleroderma), increased levels of EZH2 was detected in dermal fibroblasts, leading to an increased migratory ability (Tsou et al., 2019). Meanwhile, treatment of dermal fibroblasts with DZNep, an EZH2 inhibitor, decreased the expression of genes involved in fibrosis and altered the DNA methylation states of 37 CpG sites in 24 genes (Tsou et al., 2019). Similarly, transfer of EZH2 transcripts from EwS EVs could increase the level of expression of EZH2 in CAFs, enhancing their ability to migrate. Hence, EwS EVs may potentially convert fibroblasts into CAFs, supporting growth of cancer cells by secreting growth factors and cytokines such as IL-6 known to increase EwS resistance to apoptosis in a paracrine manner (Xing et al., 2010; Lissat et al., 2015). EwS EVs could allow CAFs to migrate away from EwS cells, converting surrounding areas into a more growth-permissive environment with growth factors and cytokines, priming the conditions for EwS cells to expand locally.

Another component of EwS EVs that may influence CAFs functions is represented by protein kinase C beta (PRKCB) transcripts (Miller et al., 2013). PRKCB is a subunit of the classical protein kinase C (Wallace et al., 2014), involved in the formation of invadopodia in CAFs but not in normal fibroblasts (Goicoechea et al., 2014). In vitro, the invadopodia of CAFs were capable of degrading the ECM, hence assisting CAFs in their remodeling of the TME (Goicoechea et al., 2014). The significance of PRKCB transcripts in CAFs on tumor growth is supported by a study from Wallace et al. (2014), who reported that PRKCB expression is increased in CAFs of breast cancer as well as tumors derived from mouse mammary tumor virus in a mouse model (Wallace et al., 2014). Furthermore, knockout of PRKCB in the mouse model reduced the volume and the collagen amounts in the tumor (Wallace et al., 2014). In the case of EwS, transfer of PRKCB transcripts into CAFs could also promote the formation of invadopodia, leading to ECM degradation and remodeling. Hence, a modified ECM may facilitate the migration of EwS cells in the TME.

As mentioned, EwS EVs also contain the EWS-FLI1 fusion mRNA, which may potentially lead to growth arrest in CAFs when translated (Lessnick et al., 2002). When EWS-FLI1 was expressed in primary human fibroblasts, growth arrest was initiated by p53 induction, involving Wnt, receptor tyrosine kinase, and p16-Rb pathways and causing downregulation of genes involved in cell cycle progression (Deneen and Denny, 2001; Lessnick et al., 2002). For the speculated EwS EV-mediated conversion of fibroblasts into CAFs to be successful, p53-mediated growth arrest, triggered by the EWS-FLI1 in EwS EVs, would need to be bypassed, potentially with the assistance of other components of EwS EVs. EwS EV-mediated reprogramming of CAFs could therefore compromise the associated pathways, but more research is required to understand the implications of their reprogramming.

T Cells

Through infiltration of tumors, T cells such as CD8+ cytotoxic T cells, helper T cells, and regulatory T cells, enter the TME, which may be modulated by specific chemokines (Harlin et al., 2009; Peng et al., 2012; Nagarsheth et al., 2016). Tumor infiltration by activated CD8+ T cells is associated with good prognosis in multiple cancers given that these immune cells kill cancer cells displaying tumor antigens on their surface MHC class I proteins (Schumacher et al., 2001; Mahmoud et al., 2011). Helper T cells are also considered tumor-suppressive because they assist in the differentiation of CD8+ T cells, while regulatory T cells have been shown to dampen immune response and promote tumor growth (Badoual et al., 2006; Gu-Trantien et al., 2013; Shang et al., 2015). Potential interactions between T cells and EwS EVs and the results of T cell reprogramming hence depend on the proportions of each type of T cell infiltrating the TME (Jordanova et al., 2008).

EZH2 transcripts in EwS EVs could also alter T cells in the TME (Miller et al., 2013). When EZH2 is absent or inhibited in regulatory T cells, their ability to suppress effector T cells was blocked, increasing intratumoral levels of effector T cells, and reducing tumor growth (Goswami et al., 2018; Wang et al., 2018). In addition, inhibition of EZH2 in effector T cells promoted their differentiation and increased their cytotoxicity, resulting in a stronger immune response against cancer cells (Yang X.-P. et al., 2015; Goswami et al., 2018). These results suggest that the EwS EV-mediated transfer of EZH2 transcripts may increase the levels of EZH2 in regulatory T cells, thereby compromising immune response effectiveness. For effector T cells, increased levels of EZH2 may suppress their differentiation and cytotoxic functions. Overall, EwS EVs may potentially be involved in the immunosuppression of T cells (Figure 2).

Neuropeptide Y receptor Y1 (NPY1R) transcripts detected in EwS EVs could also inhibit the activation of T cells (Miller et al., 2013). A lack of NPY1R resulted in increased sensitivity of T cells toward activation signals, while increased amounts of NPY1R inhibited T cell proliferation (Wheway et al., 2005). In a study of experimental autoimmune encephalomyelitis, in which Th1 helper T cells are activated by peptides in the central nervous system and produce cytokines, NPY1R was found to suppress the disease (Bedoui et al., 2003). Collectively, these results suggest that NPY1R inhibits T cell activation and functions. As NPY1R transcripts are transferred in EwS EVs into helper T cells in the TME, an increased surface expression of NPY1R may potentially decrease the sensitivity of T cells toward activation signals (Figure 2). Therefore, the immune response from T cells would be dampened, providing more favorable conditions for tumor growth and EwS cells survival.

Moreover, transcripts encoding STEAP1, a highly expressed surface protein in EwS cells and a potential EWS-FLI1 fusion protein target gene, were detected within EwS EVs (Grunewald et al., 2012a). STEAP1 expression in recipient cells could result from the transfer of EwS EVs-derived STEAP1 transcripts, or by subsequent EWS-FLI1 induction following transfer of EWS-FLI1 transcripts in EwS EVs (Grunewald et al., 2012a; Miller et al., 2013). In EwS cells, knockdown of STEAP1 led to the inactivation of STAT1 (Grunewald et al., 2012a), suggesting that conversely, upregulation of STEAP1 by EwS EVs may lead to STAT1 activation in recipient cells. Meanwhile, STAT1 was involved in the inhibition of CD8+ T cell proliferation by type I interferons, and hypothesized to be downregulated by T cells in vivo to allow their expansion (Gil et al., 2006; Quigley et al., 2008). If EwS EVs cause STEAP1 expression to activate STAT1 in recipient T cells, EVs may thus reverse the STAT1 downregulation exerted by T cells, hence reinforcing the antiproliferative effects induced by type I interferon potentially present in the TME (Gajewski et al., 2013). While STEAP1 expression in EwS cells is associated with poor outcome (Grunewald et al., 2012b), no association was found between the detection of STEAP1 in prostate cancer EVs and its clinical outcome (Khanna et al., 2021). Hence, the exact role of STEAP1 transcripts in EwS EVs requires further investigation.

Tumor-Associated Macrophages

Tumor-associated macrophages (TAMs) are inflammatory components of the stroma in many malignant tumors (Mantovani et al., 2002). TAMs are a major contributor supporting malignant progression by favoring tumor growth, angiogenesis, and metastasis (Ono, 2008). In the TME, TAM population often consists of M2 macrophages that promote tumor progression through activities such as ECM remodeling and adaptive immunity suppression (Sica et al., 2006).

The production of specific cytokines by TAMs could be triggered by EwS EVs and promote tumor growth. Following EwS EV uptake, the potential upregulation of EZH2 in TAMs and its subsequent H3K27me3 activity may facilitate macrophage activation by mediating the interferon gamma-induced repression of anti-inflammatory genes, leading to MyD88-dependent proinflammatory responses (Qiao et al., 2016; Zhang et al., 2018). In Xenopus cells, overexpression of dickkopf homolog 2 (DKK2) synergizes with the co-expressed Lrp6 to increase Wnt/β-catenin signaling, initiating a proinflammatory response activation and TAM differentiation into a M2 phenotype (Brott and Sokol, 2002; Bergenfelz et al., 2012; Naskar et al., 2014). Similarly, DKK2 upregulation by EwS EVs (Staege et al., 2004; Miller et al., 2013) may also lead to Wnt5 signaling activation in cells with high levels of Lrp6. Wnt5a induces an immunosuppressive phenotype in macrophages, in which the NF-κB pathway is inhibited and anti-inflammatory cytokine IL-10 is secreted (Bergenfelz et al., 2012). Since IL-10 is associated with immunosuppression (Saraiva and O’Garra, 2010), these findings suggest that the presence of these transcripts in EwS EVs may modulate the repertoire of cytokines produced by TAMs, to reach a fine balance that allows immunosuppression (Figure 2).

Ewing sarcoma EVs could also enhance invasiveness of TAMs to improve their tumor infiltration. The potential upregulation of PRKCB in recipient cells may be caused by the direct transfer of PRKCB transcripts within EwS EVs or indirectly by the transfer of EWS-FLI1 transcripts followed by EWS-FLI1 transcriptional activation of PRKCB (Surdez et al., 2012). Both in vivo and in vitro, PRKCB was shown to play a role in the maintenance of EwS tumor size and cell survival (Surdez et al., 2012). In 2014, Wallace et al. (2014) found that macrophage infiltration into breast cancer tumor sites is reduced in PRKCB knockout mice, suggesting that PRKCB is crucial for macrophage infiltration which has been associated with poor outcomes in EwS and other cancers (Fujiwara et al., 2011; Yang J. et al., 2015; Yagi et al., 2019). In support of this observation, TAM invasiveness may be modified by the overexpression of another gene transcript found in EwS EVs, such as cyclin D1 (CCND1) (Staege et al., 2004; Miller et al., 2013). Cyclin D1 behaves as a regulatory component of cell cycle division and promotes progression through G1-S phase (Fu et al., 2004). Studies showed that bone marrow-derived macrophages (BMMs) from CCND1-deficient mice displayed reduced motility, proliferation, and tissue invasiveness, as indicated by an increase in focal complex formation and decreased transmigratory abilities across endothelial cell barriers, resulting in tumor resistance (Neumeister et al., 2003). An enhanced macrophage infiltration into EwS tumors following the transfer of PRKCB and CCND1 transcripts could promote tumor growth (Fujiwara et al., 2011), potentially by increasing the density of macrophages in tumors to amplify the immunosuppressive effects of their proinflammatory cytokines triggered by EZH2 and DKK2 (Figure 2).

Dendritic Cells

Dendritic cells are a heterogeneous population of antigen presenting cells that arise from CD34+ bone marrow stem cells and are known to initiate adaptive immune responses (Banchereau and Steinman, 1998). DCs are also found in the TME where they acquire immunoregulatory functions (Curiel et al., 2003). However, multiple factors such as elevated release of granulocyte macrophage colony stimulating factor by cancer cells in the TME (Serafini et al., 2004) and cancer cell stroma-mediated effects (Zhang et al., 2004) can suppress DC development and tumor regression activity (Fricke and Gabrilovich, 2006).

Through influencing T cell behavior, DCs may also cause immunosuppression in the TME. DKK2 provided in EwS EVs could induce Wnt/β-catenin signaling in CD103+ DCs, which is associated with CXCL9/10 depletion in the TME, in turn inhibiting TME T cell infiltration (Brott and Sokol, 2002; Staege et al., 2004; Spranger et al., 2017). Wnt/β-catenin signaling also induces immunological tolerance in DCs within the TME (Hall et al., 2011), possibly through retinoic acid synthesis (Hong et al., 2015). In vitro and in vivo testing has also shown that increased β-catenin signaling may inhibit the ability of DCs to activate antigen-specific CD8+ T cells (Liang et al., 2014). Such factors that lead to decreased adaptive immune responses as a result of DKK2 overexpression in DCs by EwS EVs may account for the immunosuppressive activities found within the EwS TME (Figure 2). Further research is recommended to understand the relation between retinoic acid synthesis and DCs immunological tolerance in the context of EwS.

The uptake of EwS EVs may also influence the differentiation of DCs. PRKCB, derived directly from PRKCB transcripts in EwS EVs or from potential EWS-FLI1 activity as a target gene of the fusion protein after EV-mediated transfer of EWS-FLI1 transcripts, may act as a signaling molecule. This signal could lead to DC differentiation upon their activation by differentiation-inducing stimuli in normal and leukemic progenitor cells (Cejas et al., 2005; Farren et al., 2010; Surdez et al., 2012). Research shows that PRKCB-II transfection into differentiation-resistant DC progenitor cell lines restored their ability to differentiate, suggesting that while DCs in the TME are considered defective, the restoration of differentiation potential through upregulation of PRKCB by EwS EVs might also be possible (Cejas et al., 2005; Balkwill et al., 2012). Furthermore, EZH2 from EwS EVs is potentially oncogenic as it was shown to promote DC neoplasms through EZH2 regulation of adhesion dynamics along with the p-ERK1/2 signaling cascade (Miller et al., 2013; Tian et al., 2018). EZH2 is also involved in DC migration and survival, since its deficiency in mice models impaired adhesion-complex formation and suppressed autoimmune encephalomyelitis, highlighting its complex regulatory role in DCs (Gunawan et al., 2015). As DCs in the TME of EwS may take up the contents of EwS EVs, increased levels of PRKCB and EZH2 expression could potentially initiate abnormal DCs differentiation in the TME and suppress immune response (Figure 2), thus warranting further investigation to elucidate the possible interactions between TME DCs and EwS cells via EwS EVs.

Extracellular Vesicles in Ewing Sarcoma Metastasis

Through reprogramming various types of cells in the TME, EwS EVs may promote EwS metastasis. Under hypoxic conditions, EwS EVs contain miR-210, which may interact with endothelial cells in the TME (Fasanaro et al., 2008; Zeng et al., 2014). miR-210 has been shown to enable angiogenesis in other cancers, thereby allowing the transport of oxygen and nutrients to enable further growth of the tumor (Yang et al., 2016). Additionally, tumor-derived exosomes in melanoma were found to increase tumor vascular density through transferring MET oncoproteins as cargo into bone marrow-derived cells, converting them into vasculogenic progenitors, and promoting their recruitment into the tumors (Peinado et al., 2012). Newly formed blood vessels also allow dissemination of EVs and cytokines produced by tumor and stromal cells in the TME into the bloodstream, as well as setting the stage for the exit of tumor cells during metastasis (Bielenberg and Zetter, 2015; Guo et al., 2019).

Through access to the bloodstream, EVs are involved in establishing pre-metastatic niche in distant organs (Hood et al., 2011; Costa-Silva et al., 2015; Hoshino et al., 2015). In pancreatic ductal adenocarcinoma, tumor-derived exosomes could be taken up by liver Kupffer cells, ultimately leading to upregulation of fibrosis-associated factors (Costa-Silva et al., 2015). The resulting fibrotic microenvironment, together with the macrophage migration inhibitory factor cargo in the tumor-derived exosomes, then promotes the recruitment of macrophages into the liver for pre-metastatic niche formation in mouse models (Costa-Silva et al., 2015). Meanwhile, EVs from CAFs, which may be a result of tumor-derived EVs mediating conversion of fibroblasts, were able to promote metastasis to the lungs by activating lung fibroblasts in the case of salivary adenoid cystic carcinoma (Kong et al., 2019). Furthermore, compared to tumor-derived EVs, EVs from CAFs presented an even greater ability to remodel the lung ECM for pre-metastatic niche formation (Kong et al., 2019), displaying the significance of reprogramming cells in the TME for metastasis. Fibroblasts may also release EVs to enhance metastatic capacity of tumor cells, as seen in breast cancer in which CD81-positive EVs activate Wnt-planar cell polarity signaling (Luga et al., 2012). It remains to be tested whether the same applies to CAF-derived EVs in EwS and CAFs originated by uptake of EwS EVs.

Ewing sarcoma EVs may also induce the secretion of proinflammatory molecules in distant organs, which facilitates metastasis. In colorectal cancer, when tumor-derived EVs were injected into the bloodstream of mice, the levels of miR-21 in EVs correlated with IL-6 levels in the plasma, which also correlated with liver metastasis (Shao et al., 2018). Furthermore, an association was found between the types of integrins present in EVs and metastasis to specific organs, suggesting that EVs at least partially determine the location of metastasis (Hoshino et al., 2015). Integrins were also found to activate Src in lung fibroblasts by phosphorylation, and led to the expression of S100 proinflammatory molecules by lung fibroblasts and liver Kupffer cells (Hoshino et al., 2015). Considering that integrins are detected in EwS EVs, these results suggest that EwS EVs may determine and prime specific distant organs by triggering inflammation. It is also possible that proinflammatory cytokines released into the plasma by EwS cells directly travel to distant organs (Lissat et al., 2015; Guo et al., 2019).

Moreover, NPY1R and STEAP1 transcripts in tumor-derived EVs may not only act on T cells in the local TME as described above, but also on T cells in distant organs (Miller et al., 2013). As EwS EVs circulate in the blood, activation and proliferation of T cells may also be inhibited, creating an immunosuppressed environment more amenable to pre-metastatic niche formation (Bedoui et al., 2003; Quigley et al., 2008; Grunewald et al., 2012a).

Clinical Applications of Ewing Sarcoma Extracellular Vesicles

The notion that EVs are key mediators of intercellular communications between EwS cells and other cells in the TME offer several promising clinical avenues, including biomarker identification, disease prognostication, and potential therapeutic strategies. Extracellular vesicles are classified as liquid-based biomarkers, as they are secreted into various biological fluids including blood and urine. From the results of the Grunewald group, of the top five mRNA overexpressed in EwS cells and their EVs that could serve as potential biomarkers (NR0B1, NKX2.2, STEAP1, LIPI, and EWS−FLI1), STEAP1 and EWS-FLI1 mRNAs packed into EwS EV as cargos could serve as biomarkers and as therapeutic targets, by limiting their packaging in EVs or uptake by recipient cells (Miller et al., 2013). Limiting of EV cargo can be accomplished by targeted inhibition of tumorigenic molecules in EwS cells using pharmacological inhibitors, silencing RNAs, and antibodies to surface proteins. Targeting EV biogenesis and their sorting in EwS cells by attenuating the activity of molecules involved in EV biogenesis and sorting components such as caveolin-1 can also limit the packaging of oncogenic cargo in EVs and their associated effects on the TME. STEAP1 is a membrane-bound protein whose major function is to act as an oxidoreductase, involved in mitochondrial transmembrane electron transfer, but may also have a role in exosome biogenesis, like the other members of the STEAP family (Hubert et al., 1999; Sendamarai et al., 2008; Baietti et al., 2012; Miller et al., 2013). If the role of STEAP1 in exosome biogenesis holds true, then targeting STEAP1 in EwS cells may hinder the packaging of oncogenic mRNAs like EWS-FLI1 and STEAP1 itself, therefore inhibiting EwS EV-mediated reprogramming of cells in the TME. Therefore, research into this possibility is warranted. Recently, it was shown in prostate cancer that patients’ plasma samples presented significantly higher STEAP1-positive EVs compared to healthy individuals, as analyzed by nanoscale flow cytometry (Khanna et al., 2021). Therefore, presence of STEAP1 in EVs of EwS patients’ samples as well as its association with clinical outcomes should be assessed. Apart from mRNAs, non-coding RNAs including microRNAs packed in EVs may serve as biomarkers. Since there is limited research done in analyzing the microRNA content of EwS EV subpopulations, there may be a scope for finding a panel of microRNAs specifically packed within EwS EVs that could serve as prognostic tools. However, based on research evidence already available, profiling of miR-34a and miR-199a-3p levels in EwS EVs may also serve as a good non-invasive prognostic tool for predicting EwS disease progression, but this needs to be thoroughly examined (Ventura et al., 2016; De Feo et al., 2019). Limiting the packaging of microRNA cargo in Ewing sarcoma EVs by targeting the relevant packaging molecules could also be of great therapeutic value. Although there are several pieces of evidence of the diversity of transcripts present in EwS EVs, the proteomic content of EwS EVs is only starting to be unraveled. Samuel et al. (2020) found that CD99, HINT1, and NGFR can act as biomarkers of small EVs derived from EwS cells. Sorting small EVs derived from EwS cells based on the above protein markers could improve the specificity of EVs derived from heterogeneous cell populations. Previous studies of EwS EVs emphasized the testing of small EVs or exosomes as biomarkers and therapeutic targets; however, another class of EVs, namely microvesicles, could also be of interest in EwS. EwS EVs, with their potential to fuse with recipient cells in the TME, can act as excellent potential carriers of anti-tumor agents for targeted delivery, to limit their TME reprogramming capacity. In addition, EwS EVs carrying similar surface antigens as EwS cells (e.g., CD99, NGFR, and HINT1) can be used for priming of immune cells to increase immunogenicity against EwS surface antigens. Although the usage of EVs as biomarkers and therapeutic targets is a fairly new concept, they present an interesting potential avenue to monitor disease progression and treatment outcomes in EwS patients.

Concluding Remarks

Although the role of EVs in cancer and other diseases has only been explored very recently, their remarkable ability to act as non-invasive biomarkers, prognostic tools, and therapeutic targets is the reason why there is currently a fast-growing interest in the field. EwS may begin as a localized disease in the bone or soft tissues, but often metastasizes to distant sites such as the lungs, bone marrow, kidneys, and heart. The aggressiveness of EwS can in part be attributed to the capacity of cancer cells to dampen the immune response against them. Therefore, it is of great importance to understand how EwS cells establish an immunosuppressive and cancer-permissive microenvironment, and to identify the mediators of these processes. EVs are vital means for intercellular communications between cancer cells and other cells in the TME, as well as in distant sites, and are potentially key regulators to establish cancer-permissive conditions. Efforts made by Miller et al. (2013) in unraveling the cargo content of EwS EVs found that CD63 and CD81 carrying exosomes from EwS cell lines were enriched with NR0B1, NKX2.2, STEAP1, LIPI, and EWS−FLI1 transcripts. Although these transcripts can be used as markers for EwS-derived EVs, the role of these EwS EV markers in reprogramming of cells in the TME remains to be elucidated. Therefore, it would be useful to profile mRNAs, microRNAs, and proteins and to determine their reprogramming potential, to potentially target EwS EV cargo for therapeutic intervention. In this review, we have focused on reprogramming of cells in the TME of EwS by selected transcripts such as EZH2, PRKCB, NPY1R, and EWS-FLI1. However, there could be other transcripts and proteins involved in reprogramming whose presence in EwS EVs and their associated mechanisms are yet to be unraveled. Several studies suggested that EVs of melanoma cells are mediators of metastasis and opened the possibility for potential roles for EVs in other cancers (Hood et al., 2011; Peinado et al., 2012; Costa-Silva et al., 2015; Hoshino et al., 2015). These findings highlight that EV content may vary in different stages of cancer development and correspond to the physiological states of cancer cells (Peinado et al., 2012). Therefore, extensive characterization of EVs from cancer cells at different stages will help develop promising prognostic and diagnostic tools for EwS. Of the pleotropic roles of EVs, their potential to act as biomarkers will change current diagnostic and therapeutic paradigms of EwS. Also, markers like CD99 and NGFR for EwS-derived EVs will help in sorting EwS-specific EVs and their associated cargo and delineating better targets for therapeutic intervention. Moreover, cargo delivery to recipient cells highlights EVs as excellent candidates for carrying various therapeutic molecules, including interfering RNAs, neutralizing antibodies, and possibly even molecular therapeutics. Given the high metastatic rates and aggressiveness of EwS, targeting EVs for therapeutic intervention has the potential to significantly impact survival rates and change the treatment paradigm of this high-risk malignancy.

Author Contributions

MP conceptualized the manuscript and generated the figures and tables. HL, AJ, and MP carried out literature searches, drafted, and co-wrote the original manuscript. MR and PS were involved in review, revision, editing, and approval of the manuscript before submission. PS was responsible for acquisition of funding for this work. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the National Institutes of Health (NIH) U54 Pediatric Immunotherapy Discovery and Development Network (1U54CA232568-01) and St. Baldrick’s-Stand Up to Cancer Dream Team Translational Research Grant (SU2C-AACR-DT-27-17). The St. Baldrick’s Foundation collaborates with Stand Up To Cancer. Research Grants are administered by the American Association for Cancer Research, the Scientific Partner of SU2C.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank Biorender.com for their assistance in preparation of the figures. We would like to acknowledge Thomas G. P. Grunewald and Isabella V. Miller whose work (doi: 10.1111/boc.201200086) significantly helped us to write the various parts of this manuscript.

References

Albacete-Albacete, L., Navarro-Lérida, I., López, J. A., Martín-Padura, I., Astudillo, A. M., Ferrarini, A., et al. (2020). ECM deposition is driven by caveolin-1–dependent regulation of exosomal biogenesis and cargo sorting. J. Cell Biol. 219:e202006178. doi: 10.1083/jcb.202006178

PubMed Abstract | CrossRef Full Text | Google Scholar

Al-Nedawi, K., Meehan, B., Micallef, J., Lhotak, V., May, L., Guha, A., et al. (2008). Intercellular transfer of the oncogenic receptor EGFRvIII by microvesicles derived from tumour cells. Nat. Cell Biol. 10, 619–624. doi: 10.1038/ncb1725

PubMed Abstract | CrossRef Full Text | Google Scholar

Arina, A., Idel, C., Hyjek, E. M., Alegre, M.-L., Wang, Y., Bindokas, V. P., et al. (2016). Tumor-associated fibroblasts predominantly come from local and not circulating precursors. Proc. Natl. Acad. Sci. U.S.A. 113, 7551–7556. doi: 10.1073/pnas.1600363113

PubMed Abstract | CrossRef Full Text | Google Scholar

Badoual, C., Hans, S., Rodriguez, J., Peyrard, S., Klein, C., Agueznay, N. E. H., et al. (2006). Prognostic value of tumor-infiltrating CD4+ T-cell subpopulations in head and neck cancers. Clin. Cancer Res. 12, 465–472. doi: 10.1158/1078-0432.CCR-05-1886

PubMed Abstract | CrossRef Full Text | Google Scholar

Baietti, M. F., Zhang, Z., Mortier, E., Melchior, A., Degeest, G., Geeraerts, A., et al. (2012). Syndecan–syntenin–ALIX regulates the biogenesis of exosomes. Nat. Cell Biol. 14, 677–685. doi: 10.1038/ncb2502

PubMed Abstract | CrossRef Full Text | Google Scholar

Balkwill, F. R., Capasso, M., and Hagemann, T. (2012). The tumor microenvironment at a glance. J. Cell Sci. 125, 5591–5596. doi: 10.1242/jcs.116392

PubMed Abstract | CrossRef Full Text | Google Scholar

Banchereau, J., and Steinman, R. M. (1998). Dendritic cells and the control of immunity. Nature 392, 245–252. doi: 10.1038/32588

PubMed Abstract | CrossRef Full Text | Google Scholar

Bedoui, S., Miyake, S., Lin, Y., Miyamoto, K., Oki, S., Kawamura, N., et al. (2003). Neuropeptide Y (NPY) suppresses experimental autoimmune encephalomyelitis: NPY1 receptor-specific inhibition of autoreactive Th1 responses in vivo. J. Immunol. 171, 3451–3458. doi: 10.4049/jimmunol.171.7.3451

PubMed Abstract | CrossRef Full Text | Google Scholar

Bergenfelz, C., Medrek, C., Ekström, E., Jirström, K., Janols, H., Wullt, M., et al. (2012). Wnt5a induces a tolerogenic phenotype of macrophages in sepsis and breast cancer patients. J. Immunol. 188, 5448–5458. doi: 10.4049/jimmunol.1103378

PubMed Abstract | CrossRef Full Text | Google Scholar

Bielenberg, D. R., and Zetter, B. R. (2015). The contribution of angiogenesis to the process of metastasis. Cancer J. 21, 267–273. doi: 10.1097/PPO.0000000000000138

PubMed Abstract | CrossRef Full Text | Google Scholar

Blot, V., Perugi, F., Gay, B., Prévost, M.-C., Briant, L., Tangy, F., et al. (2004). Nedd4.1-mediated ubiquitination and subsequent recruitment of Tsg101 ensure HTLV-1 Gag trafficking towards the multivesicular body pathway prior to virus budding. J. Cell Sci. 117, 2357–2367. doi: 10.1242/jcs.01095

PubMed Abstract | CrossRef Full Text | Google Scholar

Brott, B. K., and Sokol, S. Y. (2002). Regulation of Wnt/LRP signaling by distinct domains of dickkopf proteins. Mol. Cell. Biol. 22, 6100–6110. doi: 10.1128/MCB.22.17.6100-6110.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, S.-Q., Zheng, H., Sun, B.-C., Wang, Z.-L., Liu, T., Guo, D.-H., et al. (2019). Long non-coding RNA highly up-regulated in liver cancer promotes exosome secretion. World J. Gastroenterol. 25, 5283–5299. doi: 10.3748/wjg.v25.i35.5283

PubMed Abstract | CrossRef Full Text | Google Scholar

Cejas, P. J., Carlson, L. M., Zhang, J., Padmanabhan, S., Kolonias, D., Lindner, I., et al. (2005). Protein kinase C βII Plays an essential role in dendritic cell differentiation and autoregulates its own expression. J. Biol. Chem. 280, 28412–28423. doi: 10.1074/jbc.M500345200

PubMed Abstract | CrossRef Full Text | Google Scholar

Cerisano, V., Aalto, Y., Perdichizzi, S., Bernard, G., Manara, M. C., Benini, S., et al. (2004). Molecular mechanisms of CD99-induced caspase-independent cell death and cell–cell adhesion in Ewing’s sarcoma cells: actin and zyxin as key intracellular mediators. Oncogene 23, 5664–5674. doi: 10.1038/sj.onc.1207741

PubMed Abstract | CrossRef Full Text | Google Scholar

Colombo, M., Moita, C., van Niel, G., Kowal, J., Vigneron, J., Benaroch, P., et al. (2013). Analysis of ESCRT functions in exosome biogenesis, composition and secretion highlights the heterogeneity of extracellular vesicles. J. Cell Sci. 126, 5553–5565. doi: 10.1242/jcs.128868

PubMed Abstract | CrossRef Full Text | Google Scholar

Colombo, M., Raposo, G., and Théry, C. (2014). Biogenesis, secretion, and intercellular interactions of exosomes and other extracellular vesicles. Annu. Rev. Cell Dev. Biol. 30, 255–289. doi: 10.1146/annurev-cellbio-101512-122326

PubMed Abstract | CrossRef Full Text | Google Scholar

Costa-Silva, B., Aiello, N. M., Ocean, A. J., Singh, S., Zhang, H., Thakur, B. K., et al. (2015). Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver. Nat. Cell Biol. 17, 816–826. doi: 10.1038/ncb3169

PubMed Abstract | CrossRef Full Text | Google Scholar

Curiel, T. J., Wei, S., Dong, H., Alvarez, X., Cheng, P., Mottram, P., et al. (2003). Blockade of B7-H1 improves myeloid dendritic cell–mediated antitumor immunity. Nat. Med. 9, 562–567. doi: 10.1038/nm863

PubMed Abstract | CrossRef Full Text | Google Scholar

De Feo, A., Sciandra, M., Ferracin, M., Felicetti, F., Astolfi, A., Pignochino, Y., et al. (2019). Exosomes from CD99-deprived Ewing sarcoma cells reverse tumor malignancy by inhibiting cell migration and promoting neural differentiation. Cell Death Dis. 10:471. doi: 10.1038/s41419-019-1675-1

PubMed Abstract | CrossRef Full Text | Google Scholar

de Vos van Steenwijk, P. J., Ramwadhdoebe, T. H., Goedemans, R., Doorduijn, E. M., van Ham, J. J., Gorter, A., et al. (2013). Tumor-infiltrating CD14-positive myeloid cells and CD8-positive T-cells prolong survival in patients with cervical carcinoma. Int. J. Cancer 133, 2884–2894. doi: 10.1002/ijc.28309

PubMed Abstract | CrossRef Full Text | Google Scholar

del Conde, I., Shrimpton, C. N., Thiagarajan, P., and López, J. A. (2005). Tissue-factor–bearing microvesicles arise from lipid rafts and fuse with activated platelets to initiate coagulation. Blood 106, 1604–1611. doi: 10.1182/blood-2004-03-1095

PubMed Abstract | CrossRef Full Text | Google Scholar

Delattre, O., Zucman, J., Plougastel, B., Desmaze, C., Melot, T., Peter, M., et al. (1992). Gene fusion with an ETS DNA-binding domain caused by chromosome translocation in human tumours. Nature 359, 162–165. doi: 10.1038/359162a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Deneen, B., and Denny, C. T. (2001). Loss of p16 pathways stabilizes EWS/FLI1 expression and complements EWS/FLI1 mediated transformation. Oncogene 20, 6731–6741. doi: 10.1038/sj.onc.1204875

PubMed Abstract | CrossRef Full Text | Google Scholar

Escola, J.-M., Kleijmeer, M. J., Stoorvogel, W., Griffith, J. M., Yoshie, O., and Geuze, H. J. (1998). Selective enrichment of tetraspan proteins on the internal vesicles of multivesicular endosomes and on exosomes secreted by human B-lymphocytes. J. Biol. Chem. 273, 20121–20127. doi: 10.1074/jbc.273.32.20121

PubMed Abstract | CrossRef Full Text | Google Scholar

Farren, M. R., Carlson, L. M., and Lee, K. P. (2010). Tumor-mediated inhibition of dendritic cell differentiation is mediated by down regulation of protein kinase C beta II expression. Immunol. Res. 46, 165–176. doi: 10.1007/s12026-009-8118-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Fasanaro, P., D’Alessandra, Y., Stefano, V. D., Melchionna, R., Romani, S., Pompilio, G., et al. (2008). MicroRNA-210 modulates endothelial cell response to hypoxia and inhibits the receptor tyrosine kinase ligand Ephrin-A3. J. Biol. Chem. 283, 15878–15883. doi: 10.1074/jbc.M800731200

PubMed Abstract | CrossRef Full Text | Google Scholar

Fornari, F., Milazzo, M., Chieco, P., Negrini, M., Calin, G. A., Grazi, G. L., et al. (2010). MiR-199a-3p regulates mTOR and c-Met to influence the doxorubicin sensitivity of human hepatocarcinoma cells. Cancer Res. 70, 5184–5193. doi: 10.1158/0008-5472.CAN-10-0145

PubMed Abstract | CrossRef Full Text | Google Scholar

Fricke, I., and Gabrilovich, D. I. (2006). Dendritic cells and tumor microenvironment: a dangerous liaison. Immunol. Investig. 35, 459–483. doi: 10.1080/08820130600803429

PubMed Abstract | CrossRef Full Text | Google Scholar

Fu, M., Wang, C., Li, Z., Sakamaki, T., and Pestell, R. G. (2004). Minireview: cyclin D1: normal and abnormal functions. Endocrinology 145, 5439–5447. doi: 10.1210/en.2004-0959

PubMed Abstract | CrossRef Full Text | Google Scholar

Fujiwara, T., Fukushi, J., Yamamoto, S., Matsumoto, Y., Setsu, N., Oda, Y., et al. (2011). Macrophage infiltration predicts a poor prognosis for human ewing sarcoma. Am. J. Pathol. 179, 1157–1170. doi: 10.1016/j.ajpath.2011.05.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Gajewski, T. F., Schreiber, H., and Fu, Y.-X. (2013). Innate and adaptive immune cells in the tumor microenvironment. Nat. Immunol. 14, 1014–1022. doi: 10.1038/ni.2703

PubMed Abstract | CrossRef Full Text | Google Scholar

Gangwal, K., Sankar, S., Hollenhorst, P. C., Kinsey, M., Haroldsen, S. C., Shah, A. A., et al. (2008). Microsatellites as EWS/FLI response elements in Ewing’s sarcoma. Proc. Natl. Acad. Sci. U.S.A. 105, 10149–10154. doi: 10.1073/pnas.0801073105

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaspar, N., Hawkins, D. S., Dirksen, U., Lewis, I. J., Ferrari, S., Le Deley, M.-C., et al. (2015). Ewing sarcoma: current management and future approaches through collaboration. J. Clin. Oncol. 33, 3036–3046. doi: 10.1200/JCO.2014.59.5256

PubMed Abstract | CrossRef Full Text | Google Scholar

Gil, M. P., Salomon, R., Louten, J., and Biron, C. A. (2006). Modulation of STAT1 protein levels: a mechanism shaping CD8 T-cell responses in vivo. Blood 107, 987–993. doi: 10.1182/blood-2005-07-2834

PubMed Abstract | CrossRef Full Text | Google Scholar

Giusti, I., Francesco, M. D., D’Ascenzo, S., Palmerini, M. G., Macchiarelli, G., Carta, G., et al. (2018). Ovarian cancer-derived extracellular vesicles affect normal human fibroblast behavior. Cancer Biol. Ther. 19, 722–734. doi: 10.1080/15384047.2018.1451286

PubMed Abstract | CrossRef Full Text | Google Scholar

Goicoechea, S., García-Mata, R., Staub, J., Valdivia, A., Sharek, L., McCulloch, C., et al. (2014). Palladin promotes invasion of pancreatic cancer cells by enhancing invadopodia formation in cancer-associated fibroblasts. Oncogene 33, 1265–1273. doi: 10.1038/onc.2013.68

PubMed Abstract | CrossRef Full Text | Google Scholar

Goswami, S., Apostolou, I., Zhang, J., Skepner, J., Anandhan, S., Zhang, X., et al. (2018). Modulation of EZH2 expression in T cells improves efficacy of anti–CTLA-4 therapy. J. Clin. Invest. 128, 3813–3818. doi: 10.1172/JCI99760

PubMed Abstract | CrossRef Full Text | Google Scholar

Goulet, C. R., Bernard, G., Tremblay, S., Chabaud, S., Bolduc, S., and Pouliot, F. (2018). Exosomes induce fibroblast differentiation into cancer-associated fibroblasts through TGFβ signaling. Mol. Cancer Res. 16, 1196–1204. doi: 10.1158/1541-7786.MCR-17-0784

PubMed Abstract | CrossRef Full Text | Google Scholar

Greco, V., Hannus, M., and Eaton, S. (2001). Argosomes: a potential vehicle for the spread of morphogens through epithelia. Cell 106, 633–645. doi: 10.1016/S0092-8674(01)00484-6

CrossRef Full Text | Google Scholar

Grünewald, T. G. P., Cidre-Aranaz, F., Surdez, D., Tomazou, E. M., de Álava, E., Kovar, H., et al. (2018). Ewing sarcoma. Nat. Rev. Dis. Primers 4:5. doi: 10.1038/s41572-018-0003-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Grunewald, T. G. P., Diebold, I., Esposito, I., Plehm, S., Hauer, K., Thiel, U., et al. (2012a). STEAP1 is associated with the invasive and oxidative stress phenotype of ewing tumors. Mol. Cancer Res. 10, 52–65. doi: 10.1158/1541-7786.MCR-11-0524

PubMed Abstract | CrossRef Full Text | Google Scholar

Grunewald, T. G. P., Ranft, A., Esposito, I., da Silva-Buttkus, P., Aichler, M., Baumhoer, D., et al. (2012b). High STEAP1 expression is associated with improved outcome of Ewing’s sarcoma patients. Ann. Oncol. 23, 2185–2190. doi: 10.1093/annonc/mdr605

PubMed Abstract | CrossRef Full Text | Google Scholar

Guescini, M., Genedani, S., Stocchi, V., and Agnati, L. F. (2009). Astrocytes and Glioblastoma cells release exosomes carrying mtDNA. J. Neural Transm. 117:1. doi: 10.1007/s00702-009-0288-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Gunawan, M., Venkatesan, N., Loh, J. T., Wong, J. F., Berger, H., Neo, W. H., et al. (2015). The methyltransferase Ezh2 controls cell adhesion and migration through direct methylation of the extranuclear regulatory protein talin. Nat. Immunol. 16, 505–516. doi: 10.1038/ni.3125

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, Y., Ji, X., Liu, J., Fan, D., Zhou, Q., Chen, C., et al. (2019). Effects of exosomes on pre-metastatic niche formation in tumors. Mol. Cancer 18:39. doi: 10.1186/s12943-019-0995-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Gu-Trantien, C., Loi, S., Garaud, S., Equeter, C., Libin, M., de Wind, A., et al. (2013). CD4+ follicular helper T cell infiltration predicts breast cancer survival. J. Clin. Invest. 123, 2873–2892. doi: 10.1172/JCI67428

PubMed Abstract | CrossRef Full Text | Google Scholar

Hall, J. A., Grainger, J. R., Spencer, S. P., and Belkaid, Y. (2011). The role of retinoic acid in tolerance and immunity. Immunity 35, 13–22. doi: 10.1016/j.immuni.2011.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Harlin, H., Meng, Y., Peterson, A. C., Zha, Y., Tretiakova, M., Slingluff, C., et al. (2009). Chemokine expression in melanoma metastases associated with CD8+ T-cell recruitment. Cancer Res. 69, 3077–3085. doi: 10.1158/0008-5472.CAN-08-2281

PubMed Abstract | CrossRef Full Text | Google Scholar

Heijnen, H. F. G., Schiel, A. E., Fijnheer, R., Geuze, H. J., and Sixma, J. J. (1999). Activated platelets release two types of membrane vesicles: microvesicles by surface shedding and exosomes derived from exocytosis of multivesicular bodies and α-granules. Blood 94, 3791–3799. doi: 10.1182/blood.V94.11.3791

CrossRef Full Text | Google Scholar

Henke, E., Nandigama, R., and Ergün, S. (2020). Extracellular matrix in the tumor microenvironment and its impact on cancer therapy. Front. Mol. Biosci. 6:160. doi: 10.3389/fmolb.2019.00160

PubMed Abstract | CrossRef Full Text | Google Scholar

Henry, J. C., Park, J.-K., Jiang, J., Kim, J. H., Roberts, L. R., Banerjee, S., et al. (2010). miR-199a-3p targets CD44 and reduces proliferation of CD44 positive hepatocellular carcinoma cell lines. Biochem. Biophys. Res. Commun. 403, 120–125. doi: 10.1016/j.bbrc.2010.10.130

PubMed Abstract | CrossRef Full Text | Google Scholar

Hong, Y., Manoharan, I., Suryawanshi, A., Majumdar, T., Angus-Hill, M. L., Koni, P. A., et al. (2015). β-catenin promotes T regulatory cell responses in tumors by inducing vitamin A metabolism in dendritic cells. Cancer Res. 75, 656–665. doi: 10.1158/0008-5472.CAN-14-2377

PubMed Abstract | CrossRef Full Text | Google Scholar

Hood, J. L., San, R. S., and Wickline, S. A. (2011). Exosomes released by melanoma cells prepare sentinel lymph nodes for tumor metastasis. Cancer Res. 71, 3792–3801. doi: 10.1158/0008-5472.CAN-10-4455

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoshino, A., Costa-Silva, B., Shen, T.-L., Rodrigues, G., Hashimoto, A., Mark, M. T., et al. (2015). Tumour exosome integrins determine organotropic metastasis. Nature 527, 329–335. doi: 10.1038/nature15756

PubMed Abstract | CrossRef Full Text | Google Scholar

Hubert, R. S., Vivanco, I., Chen, E., Rastegar, S., Leong, K., Mitchell, S. C., et al. (1999). STEAP: a prostate-specific cell-surface antigen highly expressed in human prostate tumors. Proc. Natl. Acad. Sci. U.S.A. 96, 14523–14528. doi: 10.1073/pnas.96.25.14523

PubMed Abstract | CrossRef Full Text | Google Scholar

Hurley, J. H. (2008). ESCRT complexes and the biogenesis of multivesicular bodies. Curr. Opin. Cell Biol. 20, 4–11. doi: 10.1016/j.ceb.2007.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeppesen, D. K., Fenix, A. M., Franklin, J. L., Higginbotham, J. N., Zhang, Q., Zimmerman, L. J., et al. (2019). Reassessment of exosome composition. Cell 177, 428–445.e18. doi: 10.1016/j.cell.2019.02.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Ji, H., Greening, D. W., Barnes, T. W., Lim, J. W., Tauro, B. J., Rai, A., et al. (2013). Proteome profiling of exosomes derived from human primary and metastatic colorectal cancer cells reveal differential expression of key metastatic factors and signal transduction components. Proteomics 13, 1672–1686. doi: 10.1002/pmic.201200562

PubMed Abstract | CrossRef Full Text | Google Scholar

Jimenez, J. J., Jy, W., Mauro, L. M., Soderland, C., Horstman, L. L., and Ahn, Y. S. (2003). Endothelial cells release phenotypically and quantitatively distinct microparticles in activation and apoptosis. Thromb. Res. 109, 175–180. doi: 10.1016/S0049-3848(03)00064-1

CrossRef Full Text | Google Scholar

Johnson, K. M., Mahler, N. R., Saund, R. S., Theisen, E. R., Taslim, C., Callender, N. W., et al. (2017). Role for the EWS domain of EWS/FLI in binding GGAA-microsatellites required for Ewing sarcoma anchorage independent growth. Proc. Natl. Acad. Sci. U.S.A. 114, 9870–9875. doi: 10.1073/pnas.1701872114

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnstone, R. M., Adam, M., Hammond, J. R., Orr, L., and Turbide, C. (1987). Vesicle formation during reticulocyte maturation. Association of plasma membrane activities with released vesicles (exosomes). J. Biol. Chem. 262, 9412–9420. doi: 10.1016/S0021-9258(18)48095-7

CrossRef Full Text | Google Scholar

Jordanova, E. S., Gorter, A., Ayachi, O., Prins, F., Durrant, L. G., Kenter, G. G., et al. (2008). Human leukocyte antigen class I, MHC class I chain-related molecule A, and CD8+/regulatory T-cell ratio: which variable determines survival of cervical cancer patients? Clin. Cancer Res. 14, 2028–2035. doi: 10.1158/1078-0432.CCR-07-4554

PubMed Abstract | CrossRef Full Text | Google Scholar

Kahn, R., Mossberg, M., Ståhl, A., Johansson, K., Lindman, I. L., Heijl, C., et al. (2017). Microvesicle transfer of kinin B1-receptors is a novel inflammatory mechanism in vasculitis. Kidney Int. 91, 96–105. doi: 10.1016/j.kint.2016.09.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawano, Y., and Kypta, R. (2003). Secreted antagonists of the Wnt signalling pathway. J. Cell Sci. 116, 2627–2634. doi: 10.1242/jcs.00623

PubMed Abstract | CrossRef Full Text | Google Scholar

Kerr, J. F. R., Wyllie, A. H., and Currie, A. R. (1972). Apoptosis: a basic biological phenomenon with wide-ranging implications in tissue kinetics. Br. J. Cancer 26, 239–257. doi: 10.1038/bjc.1972.33

PubMed Abstract | CrossRef Full Text | Google Scholar

Kervarrec, T., Gaboriaud, P., Berthon, P., Zaragoza, J., Schrama, D., Houben, R., et al. (2018). Merkel cell carcinomas infiltrated with CD33+ myeloid cells and CD8+ T cells are associated with improved outcome. J. Am. Acad. Dermatol. 78, 973–982.e8. doi: 10.1016/j.jaad.2017.12.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Khalfallah, O., Rouleau, M., Barbry, P., Bardoni, B., and Lalli, E. (2009). Dax-1 knockdown in mouse embryonic stem cells induces loss of pluripotency and multilineage differentiation. Stem Cells 27, 1529–1537. doi: 10.1002/stem.78

PubMed Abstract | CrossRef Full Text | Google Scholar

Khanna, K., Salmond, N., Lynn, K. S., Leong, H. S., and Williams, K. C. (2021). Clinical significance of STEAP1 extracellular vesicles in prostate cancer. Prostate Cancer Prostatic Dis. 24, 802–811. doi: 10.1038/s41391-021-00319-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Kling, M. J., Chaturvedi, N. K., Kesherwani, V., Coulter, D. W., McGuire, T. R., Sharp, J. G., et al. (2020). Exosomes secreted under hypoxia enhance stemness in Ewing’s sarcoma through miR-210 delivery. Oncotarget 11, 3633–3645. doi: 10.18632/oncotarget.27702

PubMed Abstract | CrossRef Full Text | Google Scholar

Kojima, Y., Acar, A., Eaton, E. N., Mellody, K. T., Scheel, C., Ben-Porath, I., et al. (2010). Autocrine TGF-β and stromal cell-derived factor-1 (SDF-1) signaling drives the evolution of tumor-promoting mammary stromal myofibroblasts. Proc. Natl. Acad. Sci. U.S.A. 107, 20009–20014. doi: 10.1073/pnas.1013805107

PubMed Abstract | CrossRef Full Text | Google Scholar

Kong, J., Tian, H., Zhang, F., Zhang, Z., Li, J., Liu, X., et al. (2019). Extracellular vesicles of carcinoma-associated fibroblasts creates a pre-metastatic niche in the lung through activating fibroblasts. Mol. Cancer 18:175. doi: 10.1186/s12943-019-1101-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Kovar, H. (2005). Context matters: the hen or egg problem in Ewing’s sarcoma. Semin. Cancer Biol. 15, 189–196. doi: 10.1016/j.semcancer.2005.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Kowal, J., Arras, G., Colombo, M., Jouve, M., Morath, J. P., Primdal-Bengtson, B., et al. (2016). Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypes. Proc. Natl. Acad. Sci. U.S.A. 113, E968–E977. doi: 10.1073/pnas.1521230113

PubMed Abstract | CrossRef Full Text | Google Scholar

Lawlor, E., and Sorensen, P. H. (2015). Twenty Years on: what do we really know about ewing sarcoma and what is the path forward? Crit. Rev. Oncog. 20, 155–171. doi: 10.1615/CritRevOncog.2015013553

PubMed Abstract | CrossRef Full Text | Google Scholar

Lessnick, S. L., Dacwag, C. S., and Golub, T. R. (2002). The Ewing’s sarcoma oncoprotein EWS/FLI induces a p53-dependent growth arrest in primary human fibroblasts. Cancer Cell 1, 393–401. doi: 10.1016/S1535-6108(02)00056-9

CrossRef Full Text | Google Scholar

Liang, X., Fu, C., Cui, W., Ober-Blöbaum, J. L., Zahner, S. P., Shrikant, P. A., et al. (2014). β-catenin mediates tumor-induced immunosuppression by inhibiting cross-priming of CD8+ T cells. J. Leukoc. Biol. 95, 179–190. doi: 10.1189/jlb.0613330

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, P. P., Pandey, M. K., Jin, F., Xiong, S., Deavers, M., Parant, J. M., et al. (2008). EWS-FLI1 induces developmental abnormalities and accelerates sarcoma formation in a transgenic mouse model. Cancer Res. 68, 8968–8975. doi: 10.1158/0008-5472.CAN-08-0573

PubMed Abstract | CrossRef Full Text | Google Scholar

Lipinski, M., Braham, K., Philip, I., Wiels, J., Philip, T., Dellagi, K., et al. (1986). Phenotypic characterization of Ewing sarcoma cell lines with monoclonal antibodies. J. Cell Biochem. 31, 289–296. doi: 10.1002/jcb.240310406

PubMed Abstract | CrossRef Full Text | Google Scholar

Lissat, A., Joerschke, M., Shinde, D. A., Braunschweig, T., Meier, A., Makowska, A., et al. (2015). IL6 secreted by Ewing sarcoma tumor microenvironment confers anti-apoptotic and cell-disseminating paracrine responses in Ewing sarcoma cells. BMC Cancer 15:552. doi: 10.1186/s12885-015-1564-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Llombart-Bosch, A., Machado, I., Navarro, S., Bertoni, F., Bacchini, P., Alberghini, M., et al. (2009). Histological heterogeneity of Ewing’s sarcoma/PNET: an immunohistochemical analysis of 415 genetically confirmed cases with clinical support. Virchows Arch. 455, 397–411. doi: 10.1007/s00428-009-0842-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Llorente, A., Skotland, T., Sylvänne, T., Kauhanen, D., Róg, T., Orłowski, A., et al. (2013). Molecular lipidomics of exosomes released by PC-3 prostate cancer cells. Biochim. Biophys. Acta Mol. Cell Biol. Lipids 1831, 1302–1309. doi: 10.1016/j.bbalip.2013.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Luga, V., Zhang, L., Viloria-Petit, A. M., Ogunjimi, A. A., Inanlou, M. R., Chiu, E., et al. (2012). Exosomes mediate stromal mobilization of autocrine Wnt-PCP signaling in breast cancer cell migration. Cell 151, 1542–1556. doi: 10.1016/j.cell.2012.11.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Mahmoud, S. M. A., Paish, E. C., Powe, D. G., Macmillan, R. D., Grainge, M. J., Lee, A. H. S., et al. (2011). Tumor-Infiltrating CD8+ lymphocytes predict clinical outcome in breast cancer. J. Clin. Oncol. 29, 1949–1955. doi: 10.1200/JCO.2010.30.5037

PubMed Abstract | CrossRef Full Text | Google Scholar

Mantovani, A., Sozzani, S., Locati, M., Allavena, P., and Sica, A. (2002). Macrophage polarization: tumor-associated macrophages as a paradigm for polarized M2 mononuclear phagocytes. Trends Immunol. 23, 549–555. doi: 10.1016/S1471-4906(02)02302-5

CrossRef Full Text | Google Scholar

Martínez, M. C., Larbret, F., Zobairi, F., Coulombe, J., Debili, N., Vainchenker, W., et al. (2006). Transfer of differentiation signal by membrane microvesicles harboring hedgehog morphogens. Blood 108, 3012–3020. doi: 10.1182/blood-2006-04-019109

PubMed Abstract | CrossRef Full Text | Google Scholar

Mazumdar, A., Urdinez, J., Boro, A., Migliavacca, J., Arlt, M. J. E., Muff, R., et al. (2020). Osteosarcoma-derived extracellular vesicles induce lung fibroblast reprogramming. Int. J. Mol. Sci. 21:5451. doi: 10.3390/ijms21155451

PubMed Abstract | CrossRef Full Text | Google Scholar

Meyers, P. A., Krailo, M. D., Ladanyi, M., Chan, K. W., Sailer, S. L., Dickman, P. S., et al. (2001). High-dose melphalan, etoposide, total-body irradiation, and autologous stem-cell reconstitution as consolidation therapy for high-risk Ewing’s sarcoma does not improve prognosis. J. Clin. Oncol. 19, 2812–2820. doi: 10.1200/JCO.2001.19.11.2812

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, I. V., Raposo, G., Welsch, U., da Costa, O. P., Thiel, U., Lebar, M., et al. (2013). First identification of Ewing’s sarcoma-derived extracellular vesicles and exploration of their biological and potential diagnostic implications. Biol. Cell 105, 289–303. doi: 10.1111/boc.201200086

PubMed Abstract | CrossRef Full Text | Google Scholar

Monteran, L., and Erez, N. (2019). The dark side of fibroblasts: cancer-associated fibroblasts as mediators of immunosuppression in the tumor microenvironment. Front. Immunol. 10:1835. doi: 10.3389/fimmu.2019.01835

PubMed Abstract | CrossRef Full Text | Google Scholar

Morelli, A. E., Larregina, A. T., Shufesky, W. J., Sullivan, M. L. G., Stolz, D. B., Papworth, G. D., et al. (2004). Endocytosis, intracellular sorting, and processing of exosomes by dendritic cells. Blood 104, 3257–3266. doi: 10.1182/blood-2004-03-0824

PubMed Abstract | CrossRef Full Text | Google Scholar

Nagarsheth, N., Peng, D., Kryczek, I., Wu, K., Li, W., Zhao, E., et al. (2016). PRC2 epigenetically silences Th1-Type chemokines to suppress effector T-cell trafficking in colon cancer. Cancer Res. 76, 275–282. doi: 10.1158/0008-5472.CAN-15-1938

PubMed Abstract | CrossRef Full Text | Google Scholar

Naskar, D., Maiti, G., Chakraborty, A., Roy, A., Chattopadhyay, D., and Sen, M. (2014). Wnt5a–Rac1–NF-κB homeostatic circuitry sustains innate immune functions in macrophages. J. Immunol. 192, 4386–4397. doi: 10.4049/jimmunol.1302817

PubMed Abstract | CrossRef Full Text | Google Scholar

Neumeister, P., Pixley, F. J., Xiong, Y., Xie, H., Wu, K., Ashton, A., et al. (2003). Cyclin D1 governs adhesion and motility of macrophages. Mol. Biol. Cell 14, 2005–2015. doi: 10.1091/mbc.02-07-0102

PubMed Abstract | CrossRef Full Text | Google Scholar

Oberlin, O., Rey, A., Desfachelles, A. S., Philip, T., Plantaz, D., Schmitt, C., et al. (2006). Impact of high-dose busulfan plus melphalan as consolidation in metastatic ewing tumors: a study by the société Française des Cancers de l’Enfant. J. Biol. Chem. 24, 3997–4002. doi: 10.1200/JCO.2006.05.7059

PubMed Abstract | CrossRef Full Text | Google Scholar

Ohno, T., Rao, V. N., Shyam, E., and Reddy, P. (1993). EWS/Fli-1 chimeric protein is a transcriptional activator. Cancer Res. 53, 5859–5863.

Google Scholar

Ono, M. (2008). Molecular links between tumor angiogenesis and inflammation: inflammatory stimuli of macrophages and cancer cells as targets for therapeutic strategy. Cancer Sci. 99, 1501–1506. doi: 10.1111/j.1349-7006.2008.00853.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Parolini, I., Federici, C., Raggi, C., Lugini, L., Palleschi, S., De Milito, A., et al. (2009). Microenvironmental pH is a key factor for exosome traffic in tumor cells. J. Biol. Chem. 284, 34211–34222. doi: 10.1074/jbc.M109.041152

PubMed Abstract | CrossRef Full Text | Google Scholar

Pasquet, J. M., Dachary-Prigent, J., and Nurden, A. T. (1996). Calcium influx is a determining factor of calpain activation and microparticle formation in platelets. Eur. J. Biochem. 239, 647–654. doi: 10.1111/j.1432-1033.1996.0647u.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Peinado, H., Alečković, M., Lavotshkin, S., Matei, I., Costa-Silva, B., Moreno-Bueno, G., et al. (2012). Melanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through MET. Nat. Med. 18, 883–891. doi: 10.1038/nm.2753

PubMed Abstract | CrossRef Full Text | Google Scholar

Peng, W., Liu, C., Xu, C., Lou, Y., Chen, J., Yang, Y., et al. (2012). PD-1 blockade enhances T-cell migration to tumors by elevating IFN-γ inducible chemokines. Cancer Res. 72, 5209–5218. doi: 10.1158/0008-5472.CAN-12-1187

PubMed Abstract | CrossRef Full Text | Google Scholar

Qiao, Y., Kang, K., Giannopoulou, E., Fang, C., and Ivashkiv, L. B. (2016). IFN-γ induces histone 3 Lysine 27 trimethylation in a small subset of promoters to stably silence gene expression in human macrophages. Cell Rep. 16, 3121–3129. doi: 10.1016/j.celrep.2016.08.051

PubMed Abstract | CrossRef Full Text | Google Scholar

Quigley, M., Huang, X., and Yang, Y. (2008). STAT1 signaling in CD8 T cells is required for their clonal expansion and memory formation following viral infection in vivo. J. Immunol. 180, 2158–2164. doi: 10.4049/jimmunol.180.4.2158

PubMed Abstract | CrossRef Full Text | Google Scholar

Richter, G. H., Fasan, A., Hauer, K., Grunewald, T. G., Berns, C., Rössler, S., et al. (2013). G-Protein coupled receptor 64 promotes invasiveness and metastasis in Ewing sarcomas through PGF and MMP1. J. Pathol. 230, 70–81. doi: 10.1002/path.4170

PubMed Abstract | CrossRef Full Text | Google Scholar

Riggi, N., Knoechel, B., Gillespie, S. M., Rheinbay, E., Boulay, G., Suvà, M. L., et al. (2014). EWS-FLI1 utilizes divergent chromatin remodeling mechanisms to directly activate or repress enhancer elements in ewing sarcoma. Cancer Cell 26, 668–681. doi: 10.1016/j.ccell.2014.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Sahai, E., Astsaturov, I., Cukierman, E., DeNardo, D. G., Egeblad, M., Evans, R. M., et al. (2020). A framework for advancing our understanding of cancer-associated fibroblasts. Nat. Rev. Cancer 20, 174–186. doi: 10.1038/s41568-019-0238-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Saman, S., Kim, W., Raya, M., Visnick, Y., Miro, S., Saman, S., et al. (2012). Exosome-associated Tau is secreted in tauopathy models and is selectively phosphorylated in cerebrospinal fluid in early Alzheimer’s disease. J. Biol. Chem. 287, 3842–3849. doi: 10.1074/jbc.M111.277061

PubMed Abstract | CrossRef Full Text | Google Scholar

Samuel, G., Crow, J., Klein, J. B., Merchant, M. L., Nissen, E., Koestler, D. C., et al. (2020). Ewing sarcoma family of tumors-derived small extracellular vesicle proteomics identify potential clinical biomarkers. Oncotarget 11, 2995–3012. doi: 10.18632/oncotarget.27678

PubMed Abstract | CrossRef Full Text | Google Scholar

Saraiva, M., and O’Garra, A. (2010). The regulation of IL-10 production by immune cells. Nat. Rev. Immunol. 10, 170–181. doi: 10.1038/nri2711

PubMed Abstract | CrossRef Full Text | Google Scholar

Schenkel, A. R., Mamdouh, Z., Chen, X., Liebman, R. M., and Muller, W. A. (2002). CD99 plays a major role in the migration of monocytes through endothelial junctions. Nat. Immunol. 3, 143–150. doi: 10.1038/ni749

PubMed Abstract | CrossRef Full Text | Google Scholar

Schumacher, K., Haensch, W., Röefzaad, C., and Schlag, P. M. (2001). Prognostic significance of activated CD8+ T Cell infiltrations within esophageal carcinomas. Cancer Res. 61, 3932–3936.

Google Scholar

Sendamarai, A. K., Ohgami, R. S., Fleming, M. D., and Lawrence, C. M. (2008). Structure of the membrane proximal oxidoreductase domain of human Steap3, the dominant ferrireductase of the erythroid transferrin cycle. Proc. Natl. Acad. Sci. U.S.A. 105, 7410–7415. doi: 10.1073/pnas.0801318105

PubMed Abstract | CrossRef Full Text | Google Scholar

Serafini, P., Carbley, R., Noonan, K. A., Tan, G., Bronte, V., and Borrello, I. (2004). High-dose granulocyte-macrophage colony-stimulating factor-producing vaccines impair the immune response through the recruitment of myeloid suppressor cells. Cancer Res. 64, 6337–6343. doi: 10.1158/0008-5472.CAN-04-0757

PubMed Abstract | CrossRef Full Text | Google Scholar

Shang, B., Liu, Y., Jiang, S., and Liu, Y. (2015). Prognostic value of tumor-infiltrating FoxP3 + regulatory T cells in cancers: a systematic review and meta-analysis. Sci. Rep. 5:15179. doi: 10.1038/srep15179

PubMed Abstract | CrossRef Full Text | Google Scholar

Shao, Y., Chen, T., Zheng, X., Yang, S., Xu, K., Chen, X., et al. (2018). Colorectal cancer-derived small extracellular vesicles establish an inflammatory premetastatic niche in liver metastasis. Carcinogenesis 39, 1368–1379. doi: 10.1093/carcin/bgy115

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheffield, N. C., Pierron, G., Klughammer, J., Datlinger, P., Schönegger, A., Schuster, M., et al. (2017). DNA methylation heterogeneity defines a disease spectrum in Ewing sarcoma. Nat. Med. 23, 386–395. doi: 10.1038/nm.4273

PubMed Abstract | CrossRef Full Text | Google Scholar

Sica, A., Schioppa, T., Mantovani, A., and Allavena, P. (2006). Tumour-associated macrophages are a distinct M2 polarised population promoting tumour progression: potential targets of anti-cancer therapy. Eur. J. Cancer 42, 717–727. doi: 10.1016/j.ejca.2006.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Singhto, N., Vinaiphat, A., and Thongboonkerd, V. (2019). Discrimination of urinary exosomes from microvesicles by lipidomics using thin layer liquid chromatography (TLC) coupled with MALDI-TOF mass spectrometry. Sci. Rep. 9:13834. doi: 10.1038/s41598-019-50195-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Sorensen, P. H. B., Lessnick, S. L., Lopez-Terrada, D., Liu, X. F., Triche, T. J., and Denny, C. T. (1994). A second Ewing’s sarcoma translocation, t(21;22), fuses the EWS gene to another ETS–family transcription factor, ERG. Nat. Genet. 6, 146–151. doi: 10.1038/ng0294-146

PubMed Abstract | CrossRef Full Text | Google Scholar

Spaeth, E. L., Dembinski, J. L., Sasser, A. K., Watson, K., Klopp, A., Hall, B., et al. (2009). Mesenchymal stem cell transition to tumor-associated fibroblasts contributes to fibrovascular network expansion and tumor progression. PLoS One 4:e4992. doi: 10.1371/journal.pone.0004992

PubMed Abstract | CrossRef Full Text | Google Scholar

Spranger, S., Dai, D., Horton, B., and Gajewski, T. F. (2017). Tumor-residing Batf3 dendritic cells are required for effector t cell trafficking and adoptive T cell therapy. Cancer Cell 31, 711–723.e4. doi: 10.1016/j.ccell.2017.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Staege, M. S., Hutter, C., Neumann, I., Foja, S., Hattenhorst, U. E., Hansen, G., et al. (2004). DNA microarrays reveal relationship of ewing family tumors to both endothelial and fetal neural crest-derived cells and define novel targets. Cancer Res. 64, 8213–8221. doi: 10.1158/0008-5472.CAN-03-4059

PubMed Abstract | CrossRef Full Text | Google Scholar

Sugimoto, H., Mundel, T. M., Kieran, M. W., and Kalluri, R. (2006). Identification of fibroblast heterogeneity in the tumor microenvironment. Cancer Biol. Ther. 5, 1640–1646. doi: 10.4161/cbt.5.12.3354

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, H. Q., Yamamoto, M., Mejillano, M., and Yin, H. L. (1999). Gelsolin, a multifunctional actin regulatory protein. J. Biol. Chem. 274, 33179–33182. doi: 10.1074/jbc.274.47.33179

PubMed Abstract | CrossRef Full Text | Google Scholar

Surdez, D., Benetkiewicz, M., Perrin, V., Han, Z.-Y., Pierron, G., Ballet, S., et al. (2012). Targeting the EWSR1-FLI1 oncogene-induced protein kinase PKC-β abolishes ewing sarcoma growth. Cancer Res. 72, 4494–4503. doi: 10.1158/0008-5472.CAN-12-0371

PubMed Abstract | CrossRef Full Text | Google Scholar

Thakur, B. K., Zhang, H., Becker, A., Matei, I., Huang, Y., Costa-Silva, B., et al. (2014). Double-stranded DNA in exosomes: a novel biomarker in cancer detection. Cell Res. 24, 766–769. doi: 10.1038/cr.2014.44

PubMed Abstract | CrossRef Full Text | Google Scholar

Tian, X., Xu, J., Fletcher, C., Hornick, J. L., and Dorfman, D. M. (2018). Expression of enhancer of zeste homolog 2 (EZH2) protein in histiocytic and dendritic cell neoplasms with evidence for p-ERK1/2-related, but not MYC- or p-STAT3-related cell signaling. Modern Pathol. 31, 553–561. doi: 10.1038/modpathol.2017.174

PubMed Abstract | CrossRef Full Text | Google Scholar

Tirado, O. M., Mateo-Lozano, S., Villar, J., Dettin, L. E., Llort, A., Gallego, S., et al. (2006). Caveolin-1 (CAV1) Is a target of EWS/FLI-1 and a key determinant of the oncogenic phenotype and tumorigenicity of ewing’s sarcoma cells. Cancer Res. 66, 9937–9947. doi: 10.1158/0008-5472.CAN-06-0927

PubMed Abstract | CrossRef Full Text | Google Scholar

Tirode, F., Laud-Duval, K., Prieur, A., Delorme, B., Charbord, P., and Delattre, O. (2007). Mesenchymal stem cell features of ewing tumors. Cancer Cell 11, 421–429. doi: 10.1016/j.ccr.2007.02.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Tomazou, E. M., Sheffield, N. C., Schmidl, C., Schuster, M., Schönegger, A., Datlinger, P., et al. (2015). Epigenome mapping reveals distinct modes of gene regulation and widespread enhancer reprogramming by the oncogenic fusion protein EWS-FLI1. Cell Rep. 10, 1082–1095. doi: 10.1016/j.celrep.2015.01.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Toomey, E. C., Schiffman, J. D., and Lessnick, S. L. (2010). Recent advances in the molecular pathogenesis of Ewing’s sarcoma. Oncogene 29, 4504–4516. doi: 10.1038/onc.2010.205

PubMed Abstract | CrossRef Full Text | Google Scholar

Torchia, E. C., Jaishankar, S., and Baker, S. J. (2003). Ewing tumor fusion proteins block the differentiation of pluripotent marrow stromal cells. Cancer Res. 63, 3464–3468.

Google Scholar

Trajkovic, K., Hsu, C., Chiantia, S., Rajendran, L., Wenzel, D., Wieland, F., et al. (2008). Ceramide triggers budding of exosome vesicles into multivesicular endosomes. Science 319, 1244–1247. doi: 10.1126/science.1153124

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsou, P.-S., Campbell, P., Amin, M. A., Coit, P., Miller, S., Fox, D. A., et al. (2019). Inhibition of EZH2 prevents fibrosis and restores normal angiogenesis in scleroderma. Proc. Natl. Acad. Sci. U.S.A. 116, 3695–3702. doi: 10.1073/pnas.1813006116

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsugita, M., Yamada, N., Noguchi, S., Yamada, K., Moritake, H., Shimizu, K., et al. (2013). Ewing sarcoma cells secrete EWS/Fli-1 fusion mRNA via microvesicles. PLoS One 8:e77416. doi: 10.1371/journal.pone.0077416

PubMed Abstract | CrossRef Full Text | Google Scholar

Valadi, H., Ekstrom, K., Bossios, A., Sjostrand, M., Lee, J. J., and Lotvall, J. O. (2007). Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat. Cell Biol. 9, 654–660. doi: 10.1038/ncb1596

PubMed Abstract | CrossRef Full Text | Google Scholar

van Niel, G., Charrin, S., Simoes, S., Romao, M., Rochin, L., Saftig, P., et al. (2011). The tetraspanin CD63 regulates ESCRT-independent and dependent endosomal sorting during melanogenesis. Dev. Cell 21, 708–721. doi: 10.1016/j.devcel.2011.08.019

PubMed Abstract | CrossRef Full Text | Google Scholar

van Niel, G., D’Angelo, G., and Raposo, G. (2018). Shedding light on the cell biology of extracellular vesicles. Nat. Rev. Mol. Cell Biol. 19, 213–228. doi: 10.1038/nrm.2017.125

PubMed Abstract | CrossRef Full Text | Google Scholar

Varambally, S., Dhanasekaran, S. M., Zhou, M., Barrette, T. R., Kumar-Sinha, C., Sanda, M. G., et al. (2002). The polycomb group protein EZH2 is involved in progression of prostate cancer. Nature 419, 624–629. doi: 10.1038/nature01075

PubMed Abstract | CrossRef Full Text | Google Scholar

Ventura, S., Aryee, D. N. T., Felicetti, F., De Feo, A., Mancarella, C., Manara, M. C., et al. (2016). CD99 regulates neural differentiation of Ewing sarcoma cells through miR-34a-Notch-mediated control of NF-κB signaling. Oncogene 35, 3944–3954. doi: 10.1038/onc.2015.463

PubMed Abstract | CrossRef Full Text | Google Scholar

Villarroya-Beltri, C., Gutiérrez-Vázquez, C., Sánchez-Cabo, F., Pérez-Hernández, D., Vázquez, J., Martin-Cofreces, N., et al. (2013). Sumoylated hnRNPA2B1 controls the sorting of miRNAs into exosomes through binding to specific motifs. Nat. Commun. 4:2980. doi: 10.1038/ncomms3980

PubMed Abstract | CrossRef Full Text | Google Scholar

Villasante, A., Marturano-Kruik, A., Ambati, S. R., Liu, Z., Godier-Furnemont, A., Parsa, H., et al. (2016). Recapitulating the size and cargo of tumor exosomes in a tissue-engineered model. Theranostics 6, 1119–1130. doi: 10.7150/thno.13944

PubMed Abstract | CrossRef Full Text | Google Scholar

Viré, E., Brenner, C., Deplus, R., Blanchon, L., Fraga, M., Didelot, C., et al. (2006). The polycomb group protein EZH2 directly controls DNA methylation. Nature 439, 871–874. doi: 10.1038/nature04431

PubMed Abstract | CrossRef Full Text | Google Scholar

Vu, L. T., Peng, B., Zhang, D. X., Ma, V., Mathey-Andrews, C. A., Lam, C. K., et al. (2019). Tumor-secreted extracellular vesicles promote the activation of cancer-associated fibroblasts via the transfer of microRNA-125b. J. Extracell. Vesic. 8:1599680. doi: 10.1080/20013078.2019.1599680

PubMed Abstract | CrossRef Full Text | Google Scholar

Wallace, J. A., Pitarresi, J. R., Sharma, N., Palettas, M., Cuitiño, M. C., Sizemore, S. T., et al. (2014). Protein kinase C beta in the tumor microenvironment promotes mammary tumorigenesis. Front. Oncol. 4:87. doi: 10.3389/fonc.2014.00087

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, D., Quiros, J., Mahuron, K., Pai, C.-C., Ranzani, V., Young, A., et al. (2018). Targeting EZH2 reprograms intratumoral regulatory T cells to enhance cancer immunity. Cell Rep. 23, 3262–3274. doi: 10.1016/j.celrep.2018.05.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Webber, J., Steadman, R., Mason, M. D., Tabi, Z., and Clayton, A. (2010). Cancer exosomes trigger fibroblast to myofibroblast differentiation. Cancer Res. 70, 9621–9630. doi: 10.1158/0008-5472.CAN-10-1722

PubMed Abstract | CrossRef Full Text | Google Scholar

Webber, J. P., Spary, L. K., Sanders, A. J., Chowdhury, R., Jiang, W. G., Steadman, R., et al. (2015). Differentiation of tumour-promoting stromal myofibroblasts by cancer exosomes. Oncogene 34, 290–302. doi: 10.1038/onc.2013.560

PubMed Abstract | CrossRef Full Text | Google Scholar

Welton, J. L., Khanna, S., Giles, P. J., Brennan, P., Brewis, I. A., Staffurth, J., et al. (2010). Proteomics analysis of bladder cancer exosomes. Mol. Cell. Proteomics 9, 1324–1338. doi: 10.1074/mcp.M000063-MCP201

PubMed Abstract | CrossRef Full Text | Google Scholar

Wheway, J., Mackay, C. R., Newton, R. A., Sainsbury, A., Boey, D., Herzog, H., et al. (2005). A fundamental bimodal role for neuropeptide Y1 receptor in the immune system. J. Exp. Med. 202, 1527–1538. doi: 10.1084/jem.20051971

PubMed Abstract | CrossRef Full Text | Google Scholar

Whiteside, T. (2008). The tumor microenvironment and its role in promoting tumor growth. Oncogene 27, 5904–5912. doi: 10.1038/onc.2008.271

PubMed Abstract | CrossRef Full Text | Google Scholar

Won Kim, H., Haider, H. K., Jiang, S., and Ashraf, M. (2009). Ischemic preconditioning augments survival of stem cells via miR-210 expression by targeting caspase-8-associated protein 2. J. Biol. Chem. 284, 33161–33168. doi: 10.1074/jbc.M109.020925

PubMed Abstract | CrossRef Full Text | Google Scholar

Xing, F., Saidou, J., and Watabe, K. (2010). Cancer associated fibroblasts (CAFs) in tumor microenvironment. Front. Biosci. 15, 166–179. doi: 10.2741/3613

PubMed Abstract | CrossRef Full Text | Google Scholar

Yagi, T., Baba, Y., Okadome, K., Kiyozumi, Y., Hiyoshi, Y., Ishimoto, T., et al. (2019). Tumour-associated macrophages are associated with poor prognosis and programmed death ligand 1 expression in oesophageal cancer. Eur. J. Cancer 111, 38–49. doi: 10.1016/j.ejca.2019.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, J., Li, X., Liu, X., and Liu, Y. (2015). The role of tumor-associated macrophages in breast carcinoma invasion and metastasis. Int. J. Clin. Exp. Pathol. 8, 6656–6664.

Google Scholar

Yang, L., Peng, X., Li, Y., Zhang, X., Ma, Y., Wu, C., et al. (2019). Long non-coding RNA HOTAIR promotes exosome secretion by regulating RAB35 and SNAP23 in hepatocellular carcinoma. Mol. Cancer 18:78. doi: 10.1186/s12943-019-0990-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, X.-P., Jiang, K., Hirahara, K., Vahedi, G., Afzali, B., Sciume, G., et al. (2015). EZH2 is crucial for both differentiation of regulatory T cells and T effector cell expansion. Sci. Rep. 5:10643. doi: 10.1038/srep10643

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y., Zhang, J., Xia, T., Li, G., Tian, T., Wang, M., et al. (2016). MicroRNA-210 promotes cancer angiogenesis by targeting fibroblast growth factor receptor-like 1 in hepatocellular carcinoma. Oncol. Rep. 36, 2553–2562. doi: 10.3892/or.2016.5129

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeisberg, E. M., Tarnavski, O., Zeisberg, M., Dorfman, A. L., McMullen, J. R., Gustafsson, E., et al. (2007). Endothelial-to-mesenchymal transition contributes to cardiac fibrosis. Nat. Med. 13, 952–962. doi: 10.1038/nm1613

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeng, L., He, X., Wang, Y., Tang, Y., Zheng, C., Cai, H., et al. (2014). MicroRNA-210 overexpression induces angiogenesis and neurogenesis in the normal adult mouse brain. Gene Ther. 21, 37–43. doi: 10.1038/gt.2013.55

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, M., Tang, H., Guo, Z., An, H., Zhu, X., Song, W., et al. (2004). Splenic stroma drives mature dendritic cells to differentiate into regulatory dendritic cells. Nat. Immunol. 5, 1124–1133. doi: 10.1038/ni1130

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Wang, Y., Yuan, J., Li, N., Pei, S., Xu, J., et al. (2018). Macrophage/microglial Ezh2 facilitates autoimmune inflammation through inhibition of Socs3. J. Exp. Med. 215, 1365–1382. doi: 10.1084/jem.20171417

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Ewing sarcoma, tumor microenvironment, reprogramming, immunosuppression, metastasis, extracellular vesicles

Citation: Pachva MC, Lai H, Jia A, Rouleau M and Sorensen PH (2021) Extracellular Vesicles in Reprogramming of the Ewing Sarcoma Tumor Microenvironment. Front. Cell Dev. Biol. 9:726205. doi: 10.3389/fcell.2021.726205

Received: 16 June 2021; Accepted: 23 August 2021;
Published: 17 September 2021.

Edited by:

Francesca Perut, Rizzoli Orthopedic Institute (IRCCS), Italy

Reviewed by:

Heinrich Kovar, St. Anna Children’s Cancer Research Institute (CCRI), Austria
Sweta Rani, Waterford Institute of Technology, Ireland

Copyright © 2021 Pachva, Lai, Jia, Rouleau and Sorensen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Poul H. Sorensen, psor@mail.ubc.ca

These authors have contributed equally to this work

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