Skip to main content

Role of exosomes in malignant glioma: microRNAs and proteins in pathogenesis and diagnosis

Abstract

Malignant gliomas are the most common and deadly type of central nervous system tumors. Despite some advances in treatment, the mean survival time remains only about 1.25 years. Even after surgery, radiotherapy and chemotherapy, gliomas still have a poor prognosis. Exosomes are the most common type of extracellular vesicles with a size range of 30 to 100 nm, and can act as carriers of proteins, RNAs, and other bioactive molecules. Exosomes play a key role in tumorigenesis and resistance to chemotherapy or radiation. Recent evidence has shown that exosomal microRNAs (miRNAs) can be detected in the extracellular microenvironment, and can also be transferred from cell to cell via exosome secretion and uptake. Therefore, many recent studies have focused on exosomal miRNAs as important cellular regulators in various physiological and pathological conditions. A variety of exosomal miRNAs have been implicated in the initiation and progression of gliomas, by activating and/or inhibiting different signaling pathways. Exosomal miRNAs could be used as therapeutic agents to modulate different biological processes in gliomas. Exosomal miRNAs derived from mesenchymal stem cells could also be used for glioma treatment. The present review summarizes the exosomal miRNAs that have been implicated in the pathogenesis, diagnosis and treatment of gliomas. Moreover, exosomal proteins could also be involved in glioma pathogenesis. Exosomal miRNAs and proteins could also serve as non-invasive biomarkers for prognosis and disease monitoring.

Video Abstract

Background

Malignant glioma is the most deadly type of brain cancer in humans [1]. It is commonly divided into four grades (I–IV) according to histopathological evaluation. Glioblastoma mutiforme (GBM), grade IV glioma, is the most common and lethal sub-type. Even after the standard treatment methods, including a combination of surgery with radio-chemotherapy [2], the prognosis of GBM IV patients is very poor [3]. According to WHO 2016, conventional histological examination using H&E-stained sections, remains the initial method of stratification, which determines the major categories, such as infiltrating glioma, embryonal tumor or neuronal tumor based on the histology [4]. The median survival for GBM IV patients is only 15 months, and only 3–5% survive more than 36 months [5]. The lack of a non-invasive monitoring procedure to assess the effectiveness of GBM treatment is also a bottleneck for clinical management.

Extracellular vesicles (EVs) are cell membrane-coated vesicles shed from cells that transport cytoplasmic or membrane components to nearby cells and can be detected in body fluids. EVs contain various components such as proteins, lipids, DNAs, mRNAs, and various types of non-coding RNAs [6,7,8]. Exosomes are a sub-group of EVs with a size range of 30–100 nm. EVs which are released by the direct pathway have often been called “microvesicles”, whereas EVs released by the endocytic pathway have often been termed “exosomes”. They mediate signaling pathways between cancer cells and the other cells in their environment [9, 10].

The transfer of various cargos contained within exosomes is a critical process to mediate cell-cell communications [11]. Exosomes play a vital role in cancer because their contents such as microRNAs (miRNAs), proteins and other physiological compounds vary at different stages of cancer development [12, 13]. miRNAs are non-coding single-stranded RNAs with a length of 18–27 nucleotides. They influence various cellular processes by decreasing the level of translation of their target mRNAs [14]. Recent studies have shown that miRNAs conveyed within exosomes can mediate communication between cancer cells and their milieu [15,16,17]. Exosomal miRNAs have been associated with glioma pathogenesis via activation and/or inhibition of several signaling pathways. Better understanding of the role of exosomal miRNAs could contribute to the discovery and development of new diagnostic and therapeutic platforms for glioma. The present review summarizes the different exosomal miRNAs and proteins that have been reported to be involved in the pathogenesis of gliomas. We highlight some exosomal miRNAs and proteins that could be used as diagnostic and therapeutic biomarkers in glioma.

Exosome biogenesis

The criteria for dividing EVs into subtypes are: a) physical characteristics of EVs, such as size or density; b) biochemical composition; or c) descriptions of the conditions or cells of origin [18]. Based on their size and biogenesis, EVs can be divided into three types including: 1) exosomes; 2) microvesicles; and 3) apoptotic bodies [19, 20]. Exosomes are vesicles with a size range 30-100 nm [21]. Exosomes are composed of a common combination of protein and lipid components. The composition is derived from the endosomes from which they originate. The proteins comprise, tetraspanins (CD9, CD63, CD81 and CD82), multivesicular body related proteins (Alix and Tsg101), heat shock proteins (Hsp90 and Hsc70), transport proteins (GTPases, annexins and flotillin), and integrins. The membrane lipids consist of cholesterol, sphingomyelin and ceramide [22,23,24]. The outer surface of exosomes has many saccharide groups, such as mannose, sialic acid and glycans. The space between the two sides of the lipid membrane is enriched in phosphatidyl ethanolamine [23]. The ESCRT (endosomal sorting complexes required for transport) proteins are involved in exosome generation, as shown in Fig. 1. The ESCRT protein family is divided into four subgroups, i.e., ESCRT-0, ESCRT-I, ESCRT-II, ESCRT-III [26]. These proteins operate in a sequential manner on the cytosolic endosomal surface, which leads to ILV formation via stimulating the inward budding of the membrane, followed by fission​. ESCRT-0 launches the endosomal ESCRT pathway by inducing phosphatidylinositol 3-phosphate to bind to ubiquitin. Hrs and STAM1/2, both of which are ESCRT-0 proteins, play an important role in the binding of the ubiquitinated cargos. The Hrs subunit binds phosphatidylinositol 3-phosphate using its FYVE domain, thereby recruiting ESCRT-0 to pre-MVB endosomes [27]. An ubiquitin-interacting domain is also found in ESCRT-I and ESCRT-II, which sort the ubiquitinated cargos into ILV along with ESCRT-0. The membrane is consequently invaginated and constricted by ESCRT-III which is recruited by ESCRT-I and ESCRT-II [27]. The ubiquitinated cargos of exosomes, which consist of both cytoplasmic and membrane proteins, are organized by ESCRT complexes. Exosomal secretion is highly dependent on TSG101, a subunit of ESCRT-1. MVBs may be triggered by some cargos without interactions with ESCRT-0, −I and –II. An ESCRT-interacting protein, ALIX, binds to the ESCRTIII component CHMP4 and the G protein-coupled membrane receptor PAR1, which, in turn, sorts PAR1 as a cargo to MVBs without requiring ubiquitylation. Additionally, ALIX interacts with the PDZ scaffolding protein syntenin, leading to syndecans binding to CD63 as PDZ ligand cargos. Therefore, ALIX, syntenin, syndecan and CD63 can all be found in MVBs and exosomes without requiring ubiquitination [27, 28]. ESCRT-independent pathways regulate the biogenesis of tetraspanin-containing exosomes and require the participation of lipids. Exosomes are targeted by several proteins via tetraspanins or protein lipidation, involving a glycosylphosphatidyl inositol anchor or saturated fatty acid modifications. Exosomes contains high concentration of tetraspanins with four different transmembrane domains, each possessing a particular palmitoylation site. CD9, CD63, CD37, CD81, CD82 (along with other tetraspanins) are considered to be specific exosome biomarkers, since they are found abundantly on the exosome surface [11]. During the maturation of reticulocytes, exosomes are targeted with three glycosylphosphatidyl inositol-anchored proteins, i.e., CD55, CD58, CD59, and the palmitoylated protein Lyn. Proteins with these lipid modifications enter the lipid rafts consisting of sphingomyelins, cholesterols and ceramides in a selective manner. The lipid rafts accumulate in the exosomal membranes [29, 30]. Cellular exosome release has been reported to be up-regulated by HIV-1 viral infection, which immediately leads to ESCRT-independent biogenesis of exosomes. Nef, a HIV-1 protein anchored to lipid raft micro-domains, has been observed in exosomes from human cells infected with this virus. Two classical exosomal markers, tetraspanins CD63 and CD81 are also found in these exosomes, which have similar sizes to classical exosomes [20, 30]. Exosomes derived from many cell types start off as cargo-containing ILVs within LEs or MVBs. The ESCRT complex, tetraspanins and lipid rafts can all promote exosome biogenesis. Ubiquitinated cargoes are clustered by the ESCRT-0 complex. Membrane budding is mediated by the ESCRT-I and ESCRT-II complexes, and the resulting vesicles are cleaved from the membrane via the “molecular scissors” role of the ESCRT-III complex. High amounts of sphingomyelin, cholesterol, and ceramide are located within the membrane lipid rafts of exosomes. Both endocytic and exocytic processes are associated with the microdomains of highly fluid lipid rafts, and exosome formation is depended on tetraspanin function. Cargoes are selected for further exosome release by tetraspanin family proteins, which possess four transmembrane domains. The ILVs of MVBs and exosomes are enriched with tetraspanins. Moreover, extracellular exosome secretion is promoted by Nef, a HIV-1-encoded protein [25].

Fig. 1
figure1

A schematic of exosome formation. Exosome formation is divided into two main pathways: ‘classical’ and ‘direct’. The ‘direct pathway’ involves exosome formation via direct exocytosis of vesicles, such as MVs originating from the external budding of the plasma membrane. The ‘classical pathway’ requires the re-activation of endosomes that originated from the internal budding of the plasma membrane. This pathway results in MVE. Following the active packaging of their components, MVE can fuse with the plasma membrane, and exosomes will then be released to the extracellular space. Exosomes are composed of a lipid bilayer and contain non-coding miRNAs, transmembrane and cytoplasmic proteins, and single-stranded and double-stranded DNA sequences. Exosomes contain proteins such as tetraspanins, ALIX, class-I and -II MHC molecules, and tumor-derived neo-antigens. ALIX: ALG-2 interacting protein X; ESCRT: Endosomal sorting complexes required for transport; LE/MVB: late endosome/multivesicular body; ILV: Intralumenal vesicle; MHC: Major histocompatibility complex; MVE: multi-vesicular endosomes; NEF: Negative Regulatory Factor. Figure adapted from [25]

Exosomal microRNAs and gliomas

Exosomal microRNAs

The miRNA genes in the mammalian genome are located within both protein-encoding and non-coding DNA sequences [31]. The RNA polymerase II enzyme transcribes the majority of miRNAs to initially produce long primary miRNAs (pri-miRNAs), and then the RNase III enzymes (Drosha and Dicer) continue the process to create mature miRNAs consisting of 19–24 nucleotide duplexes (Fig. 2) [33]. Dicer transfers the duplex to one of four Argonaute (Ago) proteins. The duplex has a guide strand with its 5′-U head region enriched in A/G nucleotides. This 5′ sequence interacts with Ago for the regulation of the expression of target mRNAs. Furthermore, the duplex has a passenger strand that usually starts with a 5′-C region, which is U/C rich and is designed to be degraded. However, expression profiles in several tissues have suggested that both strands could be equally active [33]. There is an alternative pathway for miRNA processing, which is Drosha-independent. This pathway involves mirtrons (microRNAs located in the introns of the mRNA encoding host genes), and snoRNA- and tRNA-derived miRNAs.

Fig. 2
figure2

Biogenesis of exosomes within the parent cell and uptake of exosomes by the recipient cell. Vesicular pathways and miRNA/mRNA pathways come together because some RNA molecules are bound within the endosomal limiting membrane in the cytoplasm. RBPs (RNA-binding proteins) translocate miRNA strands into MVBs (multivesicular bodies) for exosome encapsulation, or to the cell membrane for further release. During maturation, the endosomes are transported to the TGN (trans-Golgi network) where they either undergo lysosomal degradation or secrete their intraluminal vesicles (ILVs) via microtubules towards the plasma membrane. Parent cell exosomes may carry out juxtacrine signaling, fusion or endocytosis in order to interact with the recipient cells. Parent cells secrete microvesicles into the extracellular matrix, by outward budding from the cell surface. Figure adapted from [32]

Although some miRNAs can interact with Ago to bind their target mRNA inside the cell, others must be transported to MVBs via RNA-binding proteins (RBPs) and finally loaded into exosomes and secreted from the plasma membrane (Fig. 2 )[17]. Evaluation of the exosomal miRNA profile derived from cardiac fibroblasts showed high amounts of various miRNA passenger strands [34]. The absence of Ago2 within exosomes suggests that exosomal miRNAs are not degraded and/or sorted by other RBPs [35].

Exosomal microRNAs and glioma resistance to drugs and radiotherapy

Glioblastoma (GBM) has a poor prognosis because it infiltrates and invades into the normal brain parenchyma along vascular tracks. A combination of surgery and radiotherapy and/or chemotherapy is the standard treatment for GBM; unfortunately, cancer recurrence is most commonly observed [36, 37]. Thus, it is necessary to reverse GBM resistance to radiation and/or cytotoxic drugs to find new approaches for treatment. Most solid tumors grow in hypoxic conditions, which plays a vital role in tumor development and resistance to treatment by causing changes in the biology of both cancer and stromal cells [38, 39]. Tumor hypoxia is one of the main contributing factors to the failure of cancer treatment [40], especially in radiotherapy.

Exosomal miRNAs are important in the development of different types of cancer, including gliomas [41]. Yue et al. showed that exosomal miR-301a contributed to glioblastoma resistance to radiotherapy. Hypoxic GBM cells secreted the exosomal miR-301a, which could be transferred to responsive cells that were originally in normoxic conditions, but then became resistant to radiation. Exosomal miR-301a directly targeted TCEAL7 genes, which function as tumor suppressors in GBM progression, and actively suppressed their expression in normoxic glioma cells. TCEAL7 down-regulated the Wnt/β-catenin signaling pathway via inhibiting β-catenin translocation from the cytoplasm to the nucleus. They suggested that the Wnt/β-catenin pathway was triggered by miR-301a-mediated suppression of TCEAL7. This recently discovered exo-miR-301a/TCEAL7-signaling axis could be a new target for reversing tumor cell resistance to radiotherapy in GBM patients [42].

Temozolomide (TMZ) is a DNA-alkylating compound that damages DNA and acts as a cytotoxic drug against GBM. GBM can develop resistance to TMZ thus lessening its effectiveness [43, 44]. TMZ creates DNA double-strand breaks (DSBs) in DNA due to nucleotide damage, which induce apoptosis by caspase-dependent pathways [45, 46]. It has been demonstrated that DSBs are often repaired via non-homologous end-joining (NHEJ) [44, 46, 47]. The XRCC4 protein combines with DNA ligase IV and forms a heterodimeric complex that mediates the NHEJ process. This complex can join together the broken ends of the DNA double strand and help damaged cells survive [43, 44]. It has been reported that the NHEJ pathway has a role in governing the sensitivity of GBM cells to TMZ [44]. It has also been shown that glioma sensitivity to TMZ is related to polymorphisms in the XRCC4 gene [48]. The expression of the XRCC4 gene is considerably down-regulated in many glioma cells, confirming the critical role of XRCC4 in brain tumors [49]. However, more research is still needed on the function of XRCC4 in the oncogenicity and TMZ resistance in GBM.

Zeng et al. evaluated whether exosomal miRNAs could contribute to TMZ-resistance in GBM cells [50]. The expression level of miR-151a was measured using quantitative PCR in two TMZ-resistant GBM cell lines. A RNA chromatin immunoprecipitation (RNA-ChIP) assay, combined with bioinformatics and microarray assays were used to identify the main targets for miR-151a. The exosomes isolated from cell lines, serum and cerebrospinal fluid (CSF) were investigated, and their effects on resistance to TMZ in target GBM cells were evaluated. A reduction in miR-151a resulted in higher resistance to TMZ. Conversely over expression of miR-151a sensitized chemo-resistant GBM tumor cells to TMZ by suppressing the XRCC4-DNA repair pathway. GBM chemo-resistant cells have a lower content of miR-151a containing exosomes, which induces resistance to TMZ. Restoration of the secretion of miR-151a containing exosomes by the resistant cells eliminated resistance to TMZ. Levels of miRNA-151a containing exosomes in CSF reflected the chemo-resistance of the GBM tumor. Therefore sampling of exosomal miR-151a could act as a ‘liquid biopsy’ in a non-invasive manner for evaluation of chemo-resistance. These exosomes could also be a component of a treatment for refractory GBM tumors [50].

Several reports have suggested that the miR-155HG/miR-155 could have an important role in GBM development, and that NSC141562 which acts as a miR-155/miR-155 repressor, could be a part of GBM treatment [51]. Shi et al. showed that miR-1238 could play a tumor suppressor role in non-small cell lung cancer via targeting LHX2 and inhibiting proliferation [52]. Conversely, Yin et al. showed that over-expression of miR-1238 plays an important role in mediating the acquired TMZ resistance in GBM patients [53]. Down-regulation of miR-1238 in TMZ resistant cells could sensitize resistant GBM cells by directly targeting the CAV1/EGFR pathway. Bioactive miR-1238 present in exosomes shed from TMZ-resistant cells could be taken up by TMZ-sensitive cells, thus further spreading TMZ resistance [53]. It has been reported that EGFR has a critical role in resistance to TMZ [54, 55]. A combination of TMZ plus erlotinib (an EGFR kinase inhibitor) could increase survival in GBM patients in comparison with TMZ alone [56]. Using co-immunoprecipitation and confocal microscopy, it was found that EGFR and CAV1 have mutual interactions [53]. The EGFR-PI3K-Akt-mTOR signaling pathway could be activated due to lack of CAV1 binding, resulting in GBM tumor cells developing resistance to TMZ. Therefore exosomal miR-1238 could not only be a prognostic biomarker for assessment of chemotherapy treatment protocols, but could also be an ideal for a novel GBM treatment [53, 57].

Exosomal microRNAs and other glioma-related processes

Metastasis plays a critical role in most cancer related deaths [58]. GBM is one of the most lethal cancers worldwide, but mainly spreads by local invasion into the brain, rather than by distant metastasis. However GBM metastasis into the human central nervous system can occur, and it makes surgical removal even more difficult [59]. Cells from advanced cancers can secrete exosomes containing onco-proteins, long non-coding RNAs or miRNAs, which all promote tumor development [60, 61]. Many factors such as signaling between various cells, blood vessels, stroma, extracellular matrix and secreted molecules play important roles in the tumorigenesis and development of GBM [62]. There are controversies about the role of exosomes in GBM development. Recently, one study showed that miR-5096 could stimulate the production of filamentous pseudopodia and increase the invasiveness of glioma cells, through the regulation of the K+ channel Kir4.1. miR-5096 could also increase the release of exosomes resulting in GBM metastasis [63].

The Cancer Genome Atlas (TCGA) has suggested that miR-148a may increase the risk of GBM development [64]. Cell adhesion molecule 1 (CADM1) is a neural tissue-specific protein which plays a vital role in cell-cell adhesion between identical and non-identical cells based on the Ca2+ concentration [65]. It has been found that CADM1 is a tumor suppressor factor and its expression is suppressed in GBM tumor cells. The CADM1 promoter was hypermethylated in the T98G GBM cell line [66]. CADM1 could suppress activation of STAT3 signaling through interaction with HER2 and Itgα6β4 [67]. STAT3 signaling is commonly activated in GBM cells, and suppression of STAT3 phosphorylation could significantly reduce metastasis [68, 69]. Since the STAT3 pathway could stimulate metastasis and progression in GBM cells, miR-148a could accelerate the progression of GBM by increasing CADM1/STAT3 signaling [70, 71]. Cai et al., found that the levels of miR-148a contained in exosomes in body fluids of GBM patients was higher than healthy individuals [72]. In the T98G cell line, suppression of miR-148a expression resulted in inhibition of cancer development and metastasis. Furthermore, they found that CADM1 could be a target for miR-148a, according to results from a luciferase reporter assay. A reduction was shown for mRNA and protein amounts of CADM1 in GBM tumor tissues. Down-regulation of CADM1 expression in GBM patient samples was closely related to exosomal miR-148a. Furthermore, a miR-148a antagonist activated STAT3 signaling through an increase in the STAT3 protein concentration. Finally, they found that miR-148a containing exosomes could stimulate tumor development and metastasis by activation of STAT3 signaling via CADM1. They proposed that exosomal miR-148a could be a prognostic factor or a target for GBM treatment [72].

Myeloid-derived suppressor cells (MDSCs) are a diverse population of naive myeloid cells that are characterized by the CD11b + Gr-1+ phenotype in mice, and the CD14 + HLA-DRlow/−phenotype in humans. MDSCs are produced in the bone marrow and are derived from myeloid progenitor cells, and functional MDSCs carry out robust inhibition of T cell function. Their immunosuppressive function is linked to their ability to generate high amounts of arginase-1, nitric oxide (NO), reactive oxygen species (ROS) and to release IL-10 and transforming growth factor β (TGF-β) [73]. The differentiation and function of MDSCs is governed by activation signals, because the immunosuppressive type of MDSCs is found in cancerous mice but not in healthy mice [73, 74]. Guo et al., identified that glioma cells in a hypoxic condition can secrete miR-29a and miR-92a containing exosomes, which induce the differentiation of functional MDSCs [75]. They reported that glioma-derived exosomes (GEXs) could increase active MDSC differentiation both in vitro and in vivo. Furthermore, hypoxia-induced GEXs (H-GEXs) induced MDSCs more strongly than normoxia-induced GEXs (N-GEXs). A miRNA sequencing study of N-GEXs and H-GEXs, showed that miR-29a and miR-92a containing exosomes which were secreted under hypoxic conditions could induce the proliferation of MDSCs. miR-29a and miR-92a induced the propagation and activation of MDSCs by a direct effect on high-mobility group box transcription factor 1 (Hbp1) and the protein kinase cAMP-dependent type I regulatory subunit alpha (Prkar1a). It was found that gliomas secreted miRNA containing exosomes which induced an immunosuppressive condition in the tumor microenvironment, and that miR-29a/miR-92a containing exosomes could exert regulatory effects on the function of MDSCs [75].

miR-21 is a well-known miRNA that is up-regulated in nearly all cancer types, and stimulates tumor cell proliferation, invasion and metastasis. PDCD4, TIMP3, and RECK are important regulators for apoptosis and metastasis, are also targets for miR-21 [76,77,78,79,80,81,82]. Because miR-21 is well-known for stimulating tumorigenesis, it has been considered to be an interesting target for GBM treatment. Suppression of miR-21 by various approaches has been shown to increase apoptosis, radio−/chemo-sensitivity, and to reduce tumor proliferation [83,84,85,86,87]. It was found that miRNA suppression (via either a decoy or a sponge molecule) could be useful for cancer treatment. The sponge-shaped molecule could interact with miRNA(s) or their originating sequences, and could hinder the binding of the miRNA to mRNA [88,89,90].

Monfared et al., studied whether down-regulation of miR-21 could affect U87-MG and C6 glioma tumor cell lines. They engineered exosomes by loading them with a molecule that sponged miR-21, and then added them to the cells [91]. Their results showed that the engineered exosomes could down-regulate miR-21, and consequently PDCD4 and RECK which are the miR-21 targets were over-expressed. Cells that were treated by sponge-loaded exosomes showed a decrease in proliferation and also increased apoptosis. Lastly, the miR-21-sponge construct loaded into exosomes induced a significant decrease in tumor volume in a rat model of GBM. Taken together, the results showed that administration of engineered exosomes containing miR-21-sponge constructs could be a novel treatment for GMB [91].

Exosomal microRNAs derived from mesenchymal stem cells in glioma

Researchers have found that mesenchymal stem cells (MSCs) play a vital role in tumor progression and development [92]. Furthermore, bone marrow-derived adult human mesenchymal stem cells (hMSCs) can differentiate into various mesenchymal cell types [93]. Additionally, some studies have suggested that MSCs could be beneficial for GBM treatment [94]. Moreover, stem cells have a high capacity to secrete exosomes. The released exosomes can act as biomarkers of the paracrine secretion of diverse factors produced by MSCs [95]. miR-133b has been shown to play a tumor suppressor role in many cancers [96]. Furthermore, miR-133b also acts as an inhibitor for GBM [97]. Li et al., found that miR-133b was involved in glioma growth and metastasis by its regulatory effect on Sirt1 gene expression [98]. It was shown that EZH2 is present in many different organisms and is over-expressed in various types of cancer [99]. Abnormal up-regulation of the EZH2 gene in glioma cells induces invasion and metastasis in GBM [100]. Furthermore, down-regulation of EZH2 suppresses glioma growth through a negative regulatory effect on the β-catenin signaling pathway [101]. The Wnt/β-catenin pathway is involved in the growth of the central nervous system, and acts as a tumor-promoting pathway in some cancers [102] and is also involved in GBM development [103]. Xu et al., studied the effects of MSC-derived exosomal miR-133b on glioma cell behavior [104]. Microarray assays revealed differentially expressed genes within glioma cells. miR-133b was down-regulated and EZH2 was simultaneously up-regulated, leading to the conclusion that EZH2 is down-regulated by miR-133b. MSC-derived exosomal miR-133b suppressed EZH2, and inhibited the development, invasion, and metastasis of GBM by affecting the Wnt/β-catenin pathway. Additionally, in vivo studies verified the ability of MSC-derived exosomes loaded with miR-133b to inhibit glioma tumor growth. Finally, MSC-derived exosomal miR-133b and the Wnt/β-catenin/EZH2 pathway could act as biomarkers for monitoring and prognosis in glioma therapy [104].

The ADP-ribosylation factor GTPase-activating protein (Arf GAP) catalyzes the hydrolysis of GTP by binding to Arf (a GTP-binding protein of the Ras superfamily), which is followed by alterations in various cellular functions [105]. Arf GAPs have a critical role in membrane vesicle formation through facilitating the transportation of molecules between different cellular organelles [106]. Arf GTPase-activating protein-2 (AGAP2) mediates endosome trafficking and has been shown to be up-regulated in various cancers [107]. Yu et al., showed that MSC-derived exosomal miR-199a could suppress glioma proliferation via decreasing the expression of ArfGAP (which possesses a GTPase domain), an ankyrin repeat and a PH domain 2 (AGAP2) [108]. The expression levels of miR-199a and AGAP2 in glioma cells were evaluated using qPCR, immunohistochemistry and Western blotting. A miR-199a mimic transfected into MSCs, and their secreted exosomes were added to U251 cells. The biological function and chemo-sensitivity of U251 cells were evaluated to study the role of miR-199a/AGAP2 in glioma. miR-199a was down-regulated and AGAP2 was up-regulated in glioma cells. MSC-derived exosomal miR-199a suppressed development, invasion and metastasis in recipient glioma cells. Moreover, addition of MSC-exosomal miR-199a increased glioma cell sensitivity to TMZ, and inhibited tumor growth in vivo, by exerting a negative regulative effect on AGAP2 expression [108].

miR-584 is another tumor suppressor which can inhibit cancer cell proliferation, invasion and migration. It was found that miRNA-584 down-regulates several oncogenes. Furthermore, miRNA-584 can induce apoptosis via inhibiting gene expression of anti-apoptotic proteins [109,110,111,112]. miR-584 affects the expression of CYP2J2, which is related to the development of metastasis. A study by Kim et al. specifically analyzed the role of miR-584 in the progression of glioma [113]. They studied this phenomenon by adding miRNA-containing exosomes to the media of cultured MSCs, which had been transfected by a miRNA mimic. This study evaluated the proliferation and invasion of tumor cells in vitro, and quantified the expression of proteins that related to apoptosis, growth, and metastasis. They carried out in vivo experiments, in which U87 tumor cells which had been exposed to miRNA-584-5p transfected MSC derived exosomes were inoculated into mice. The aim of this study was to confirm the ability of miRNA containing exosomes to inhibit the progression of glioma tumors. The results suggested that miRNA transfected MSCs-derived exosomes could be a novel treatment approach for glioma [113].

Exosomal microRNAs as biomarkers in glioma

The assessment and monitoring of the response to glioma treatment in the neuro-oncology field remains challenging [114]. Radiography and neuro-imaging methods are not sensitive enough to detect the early stages of tumor recurrence or progression. Furthermore, distinguishing pseudo-progression and pseudo-responses from their real counterparts is challenging. Histological analysis of brain biopsy samples can absolutely diagnose and evaluate tumor development, but numerous and repeated brain biopsies are not desirable due to surgical considerations. Moreover, biopsy specimens may not fully represent all the GBM cells that are present with their genetic diversity. Improved non-invasive evaluation of tumors would be a critical step to improve care for GBM patients. More reliable biomarkers are required to monitor treatment progress in a safe, accurate, and time-saving manner before clinical symptoms become apparent. The term “liquid biopsy” refers to a novel approach to assess the GBM tumor burden, and monitor the response to therapy. If this type of test could be developed in the future, it could be an alternative to common diagnostic procedures.

Exosomes are starting to be investigated as sources of biomarkers that can be non-invasively obtained, and can be used for the diagnosis and follow up of many diseases, including cancer [115]. GBM-secreted exosomes are wide-spread in some body fluids and could be sources for identifying nucleic acids and other cancer-related biomarkers [116]. The protein and nucleic acid expression profiles of GBM-derived exosomes have been investigated [117, 118]. Both the exosomal miRNAs (Table 1) and proteins (Table 2) could have important role in glioma. Studies indicated that GBM-derived exosomes contained many small non-coding RNAs (sncRNAs) [168]. sncRNA sequencing showed that some novel sncRNAs were present in GBM-derived exosomes [168]. Studies have shown that some miRNAs, such as miR-9 [119], miR-10a and miR-2 1[120], miR-222 and miR-124-3p [121], miR-125b [122], mir-2 1[123], miR-124a [124], miR-451 and miR-2 1[125], miR-22 1[126], miR-103 and miR-125 [127], miR-302-367 [128], miR-1290 and miR-1246 [129] were up-regulated, but other miRNAs, such as miR-1587 [130], miR-375 [131], miR-454-3p [132], miR-1246 [134], miR-146b [133], and miR-124 [135] were down-regulated in glioma tumors (Table 1). Although the miRNA content of GBM-derived exosomes is related to the source cell, there is likely to be a unique exosomal miRNA profile.

Table 1 Role of exosomal miRNAs in gliomas
Table 2 Role of exosomal proteins in glioma

In one study, miRNA-containing exosomes were isolated from the sera of GBM (n = 12) patients, and their nucleic acid contents were sequenced [136]. Results from the specimens from grade II-III (n = 10) glioma patients were compared to healthy controls, which were age- and gender-matched to patients. Significant differences were found in miRNA expression levels, and the predictive power of individual miRNAs and subsets of miRNAs was assayed by univariate and multivariate statistical analyses. Further analysis based on specimens from GBM patients (n = 4) and independent sets of samples from healthy individuals (n = 9) and non-glioma cancer patients (n = 10) as controls, were analyzed to measure the specificity and predictive power of this miRNA-based diagnostic assay. In total, 26 different miRNAs were detected in exosomes extracted from sera obtained from GBM patients compared to healthy controls. Seven miRNAs (miR-182-5p, miR-328-3p, miR-339-5p, miR-340-5p, miR-485-3p, miR-486-5p, and miR-543) were chosen as the most stable candidates for detecting GBM, according to random forest modeling and data partitioning. Based on the aforementioned studies, the measurement of six individual miRNA sequences could discriminate GBM patients from healthy controls with the required precision. Seven miRNA biomarkers were able to properly identify all the positive specimens in validation cohorts (n = 23). Moreover, 23 dysregulated miRNAs were found in samples of IDHMUT, a lower-grade glioma. miRNAs detected in serum could be used to diagnose GBM with greater precision. It was found that exosomal miRNA profiles are different from formerly described “free-circulating” miRNAs in GBM patients, and appear to be superior for diagnostic purposes [136].

Lan et al., reported that exosomes containing miR-301a, which were isolated from patients with grade IV GBM, were biologically active. They showed that the proliferation and invasion of H4 glioma cells were increased by addition of miR-301a exosomes [137]. The study also found that exosomal miR-301a was over-expressed in the sera of glioma patients in comparison with healthy individuals. The elevated levels of miR-301a containing exosomes were related to increased tumor grade and lower Karnofsky performance status scores. The levels of miR-301a containing exosomes in the serum were significantly decreased after surgery of the primary tumor, and were elevated again after GBM relapse. Kaplan-Meier statistical analysis of tumor grade (III or IV) in patients with elevated amounts of the miR-301a containing exosomes in the serum showed a shorter overall survival (OS) time in comparison with patients with a lower level (p < 0.01). Univariate and multivariate Cox regression analyses verified that the amounts of miR-301a containing exosomes in the serum were individually related to OS. Lastly, they concluded that miR-301a could trigger AKT and FAK signaling through a negative regulatory effect on PTEN. The study showed that serum levels of exosomal miR-301a could indicate variations in glioma patients. The miR-301a containing exosomes in the serum could be an efficient biomarker for GBM diagnosis and prognosis [137].

Manterola et al., [169] isolated exosomes from the sera of 30 patients with GBM and 30 healthy controls. miR-564-3p, miR-320 and RUN6–1 showed the largest variation in expression based on miRNA chip technology, and it was found that RUN6–1 (alone or with other miRNAs) could be used for the diagnosis of GBM. Their study also verified that cancer related miRNAs in serum exosomes could act as biomarkers for the prognosis and monitoring of CNS cancers [170]. Wei et al., [171] utilized a quantitative analysis to determine the exosomal contents of GBM patients for the first time, and found that the exosomes had a relatively abundant content of miRNAs.

Li et al., assessed whether the measurement of miRNAs could monitor the efficacy of radiotherapy in GBM patients [172]. The miRNA contents of serum exosomes were sequenced before and after radiotherapy in a cohort study of GBM patients. The differentially expressed miRNAs, included 18 that were over-expressed and 16 that were down-regulated. Consequently, the target genes of the DE miRNAs were predicted based on various databases. Moreover, it was shown that the target genes were mainly involved in metabolism, the p53 pathway, and tumor progression pathways, which suggested that these miRNAs could play a vital role in the occurrence and progression of glioma, via their effects on target genes. Overall, the study found differences in the exosomal miRNAs present in body fluids in response to radiotherapy, and could be novel biomarkers to monitor the effects of radiotherapy in glioma patients [138, 139, 172].

Exosomal proteins in glioma

Exosomal proteins have distinctive features compared to other proteins that are employed as biomarkers. For instance, nuclear transcription factor X-box-binding protein 1 (NFX1) and cGMP-dependent protein kinase 1 (PKG1) have only been identified in serum exosomes [173]. Some studies have suggested that H1° histone and EGFRvIII that were transferred by exosomes could accelerate cancer development [174, 175]. On the contrary, another study indicated that PTEN-containing exosomes could inhibit GBM cell progression [176]. Tumor-derived proteins that are freely circulating in blood may be highly diluted, and could be mixed with other similar circulating biomolecules, which could confuse the tests [177, 178]. It was found that many exosomal proteins such as HMGB 1[140], IL-8, PDGFs, caveolin 1, and lysyl oxidase [141], L1CAM [142], STC1, STC2 [143], EGFRvIII [144], VEGF-A [145], CRYAB [146], PTRF [147], PD- 1[148], IL13Rα2, IL13QD [149], CAV 1[150], NK-Exo [151], SRSF1, SRSF3 [152], NANOGP8 [153], PTENP1 [155], CLIC1 [156], K-Ras [157], immunoglobulin (Ig) G2 and IgG4 [158], TrkB [159], MGMT mRNA [160], EGFRvIII [161], N-glycoproteins [162], LOX, ADAMTS1, TSP1, VEGF [163], NF-κB [165], Glut-1, HK-2, and PKM-2 [166], TDP-43 [167] were up-regulated. On the other hand some other proteins, such as IL-8, ZAP70, TGF-β [148], IFN-gamma, granzyme B [154], and CRCL [164] were down-regulated in glioma tumors (Table 2).

Secondly, exosomal proteins show a greater specificity in comparison with free serum proteins. Glypican-1 (GPC1) which is abundant in the contents of tumor-derived exosomes, showed higher specificity than serum CA-199 or free GPC1 (100% vs. 79.49% vs. 82.14%) to discriminate pancreatic tumor tissue from normal tissue [179]. Thirdly, the encapsulation of proteins inside the membrane of the exosomes make them generally more stable than free proteins, because they are sheltered from degradation by serum proteases and other enzymes [173].

Cell adhesion molecule L1CAM (L1, CD171) stimulates the autocrine/paracrine secretion of various factors, which stimulate the proliferation, migration and invasion of glioma tumor cells. In normal tissue, L1 expression plays a vital role in neuronal development where it is located on the outer membrane of axons, but is also expressed in glioma tumors [24, 180]. L1 possesses an extracellular ectodomain, five fibronectin domains, and 6 immunoglobin-like domains, which are frequently detached and released into the extracellular space. L1 undergoes interactions with different partner proteins, such as L1 itself, integrins, and other outer membrane proteins [181,182,183]. L1 has a molecular weight of 220 kDa and interacts with integrins through an arginine, glycine, aspartic acid (RGD) domain [184, 185]. Two types of integrins, which stimulate focal adhesion kinase (FAK), and fibroblast growth factor receptor (FGFR) were found to be interacting partners with L1 in glioma tumors [186].

It was reported that L1 (or its ectodomain) that were present in glioma cells could stimulate cell migration [187,188,189,190]. Pace et al., showed that small exosomes with L1 on the surface could stimulate glioma cell proliferation, migration, and invasion [142]. Exosomes with L1 on the surface were extracted from the media of the T98G glioma cell line, and their effects on GBM cell lines and primary GBM cells were studied. L1 expressing exosomes increased the migration velocity in 3 cell lines (T98G/shL1, U-118 MG, and primary GBM cells) according to the highly sensitive SuperScratch assay in comparison with L1-low expressing exosomes derived from L1-attenuated T98G/shL1 cells. L1 expressing exosomes also increased proliferation based on cell cycle analysis and cell counting. Furthermore, L1 expressing exosomes caused primary glioma cell invasion in the presence of the non-invasive T98G/shL1 cell line in a chick embryo brain tumor model, but L1-low expressing exosomes did not. The migration and cell proliferation stimulated by L1, was reduced by inhibitors of focal adhesion kinase (FAK) and FGFR, to different degrees. Both L1 expressing exosomes as well as the soluble ectodomain of L1, could stimulate migration, proliferation and invasion in glioma cells [142].

The SASH1 gene is commonly expressed in normal tissue. The SASH1 protein is involved in cell growth, proliferation, and apoptosis, and has been shown to play a role in the progress of different diseases. SASH1 is considered to be a tumor suppressor gene, because it is absent or shows reduced function in many cancer types, such as lung cancer [191], gastric cancer [192], colon cancer [193, 194], cervical cancer [195], ovarian carcinoma [196], and thyroid cancer [197]. Previously, it was found that SASH1 showed lower expression levels in high-grade glioma tissue samples in comparison with low-grade samples Reduced expression of SASH1 has been correlated to poor prognosis [198]. Conversely, up-regulated expression of SASH1 in GBM was correlated with lower levels of proliferation and invasion [199].

Wu et al., reported that SASH1 gene knock-down in cultured astrocytes considerably reduced cellular adhesion and increased invasion [200]. Likewise SASH1 up-regulation in the C6 cell line increased cell adhesion and reduced invasion. Moreover, expression of the integrin β8 was considerably lower in SASH1-down-regulated astrocytes, and was increased in SASH1 over-expressing C6 cells. In addition, DNA methylation and ChIP assays indicated that the SASH1 gene was more methylated in the C6 cell line than in astrocytes. Moreover, HMGB1 was able to interact with the CpG islands in the SASH1 gene. Up-regulation of HMGB1 in astrocytes caused hyper-methylation of the SASH1 gene. This study showed that HMGB1 was involved in SASH1 gene methylation, and that methylation reduced the expression of the SASH1 and integrin β8 genes, resulting in decreased cell adhesion and increased cell migration [200].

Ma et al., studied various protein expression patterns of normal glial cell and glioma-derived exosomes, and the effects of SASH1 gene expression in glioma [201]. They isolated exosomes from astrocytes and C6 cells, and identified their exosomal proteins using mass spectrometry. The results of gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analysis showed that there were various groups of unique proteins in exosomes from normal glial cells and glioma cells. In normal cells, the chief clusters were mostly involved with RNA transcription and proteins, whereas in glioma cells the top clusters were involved in activation of the PI3K-Akt pathway, adhesion, and tumorigenesis pathways. Western blotting indicated that although HMGB1 was present at a low level in exosomes secreted from cultured astrocytes, it was significantly up-regulated in the C6 cell line. Moreover, astrocyte-derived exosomes could increase the expression of SASH1 in C6 cells, although the exosomes secreted from HMGB1-low astrocytes could not. Recombinant HMGB1 caused down-regulation of SASH1, while TLR4 expression was enhanced. HMGB1 is an extracellular protein that normally down-regulates SASH1, but when it is contained in exosomes it up-regulates SASH1. However, the aforementioned process, which was suggested to be related to TLR4 signaling, needs more research. The structure-dependent function of the secreted protein HMGB1 to stimulate or suppress tumorigenesis, opens a new horizon for understanding the interaction between tumor cells and their microenvironment [201].

Hypoxia is an important factor that can disturb the integrity of the blood-brain barrier (BBB). The BBB is composed of specific brain microvascular endothelial cells (BMVECs) that are joined together by tight junction complexes. The BBB acts to protect the microenvironment of the central nervous system (CNS) from external toxins or infectious pathogens. However, hypoxia disrupts the tight junctions of the BBB. The disrupted tight junctions between the BMVECs in GBM patients, results in the pathological opening and outflow from the BBB [202,203,204]. However, the mechanism of BBB disruption in GBM patients has not been fully elucidated. Some studies have shown that exosomes secreted from GBM cells contain various pro-angiogenic factors that are needed for proliferation and migration of endothelial cells [205]. Vascular endothelial growth factor (VEGF) is considered to be the best-known pro-angiogenic factor, and was found to be present in GBM secreted exosomes, although the role of exosomal VEGF in the BBB opening is not fully understood [205, 206].

Zhao et al., showed that GBM-secreted exosomes could induce the disruption of the BBB in laboratory studies [145]. They found that the expression of VEGF-A was up-regulated in GBM secreted exosomes in hypoxic conditions, which increased the leakiness of an in vitro BBB model via suppressing the expression of claudin-5 and occluding proteins. An in vivo leakiness assay indicated that the secreted exosomes from hypoxic GBM tumors remained active during circulation, and caused leakiness to develop in the BBB [145]. In CNS, the protein known as cryAB/HspB5 (αB-crystallin or small heat shock protein B5) is normally expressed in astrocytes and oligodendrocytes [207]. In GBM, cryAB is over-expressed in the brain [208, 209] and inhibits apoptosis through binding and suppressing caspase-3 [208,209,210]. cryAB expression is up-regulated in various neurodegenerative diseases including Parkinson’s disease, Alzheimer’s disease, multiple sclerosis, amyotrophic lateral sclerosis, age-related macular degeneration and traumatic brain injury, and is found to accumulate in astrocytes and oligodendrocytes of the CNS [211, 212]. cryAB has also been found in the extracellular matrix adjoining retinal cells [213, 214], and it was also found that presentation of cryAB epitopes could lead to stimulation of T-cells [215, 216]. Both of these observations suggested that cryAB was an important intracellular protein in the CNS. It was then found that cryAB was also a secreted protein, and it was further suggested that exosomes could mediate its secretion [146, 213, 217,218,219].

Phosphorylation of cryAB mediated an interchange between the monomeric and oligomeric states of the protein, and affected its function [220,221,222,223]. Related to secretion of cryAB by exosomes, a bioinformatics analysis on its sequence using SecretomeP 2.0 [224] and SignalP 4.1 [225] indicated that a signal peptide(s) were required. Kore et al., found that the majority of the cryAB molecules in exosomes were non-phosphorylated [226]. Large cytosolic inclusion bodies were created after transfection of cryAB-free glioma cells with a yellow fluorescent protein (YFP)-tagged triple phosphomimic (3-SD) cryAB construct. This study showed that phosphorylation considerably decreased the secretion of cryAB in exosomes. Moreover, they found that inhibition of the O-GlcNAcylation of cryAB also reduced its co-localization with CD63 and Rab27, resulting in the decreased secretion of exosomes. Hence, it was suggested that O-GlcNAcylation and lack of phosphorylation were both involved in the loading and secretion of cryAB in exosomes [226].

Conclusions

Exosomes play a vital role in glioma tumor biology, immunology, and chemo-sensitivity and can act as biomarkers for glioma diagnosis. The miRNAs and proteins contained in exosomes have played a critical role in diverse cancers, including glioma. The packing of miRNAs into exosomes is a selective process. The levels of individual miRNAs and proteins inside exosomes are altered during tumorigenesis. Based on these data, the miRNA and protein contents of exosomes could be used as a new type of biomarker for the diagnosis and monitoring of treatment response of gliomas. Furthermore, the diagnostic efficiency of the miRNA and protein contents of exosomes could be superior to more commonly employed biomarkers. Exosomes can transfer miRNAs and proteins between tumor cells for the transmission of information and to mediate signaling pathways. miRNA and protein-containing exosomes can modulate tumor progression and metastasis, and could likewise play a critical role in the immune responsiveness and chemo-sensitivity of tumors. Aberrant expression of exosomal miRNAs and proteins has been reported in several cancers, including gliomas, and is implicated in glioma pathogenesis and progression, suggesting their possible application in diagnosis, prognosis and therapy. In this review, the role of several exosomal miRNAs and proteins that regulate various oncogenes and tumor suppressor genes involved in glioma development, their prospective roles as prognostic and diagnostic markers and their therapeutic targets were summarized.

Furthermore, exosomes could be potentially used to transfer chemotherapeutic drugs and biotherapeutic agents to various cells and tissues. Thus, engineered exosomes could play a future role as efficient delivery vehicles for direct targeting of glioma tumor cells. Nowadays, TMZ and cisplatin are often used for chemotherapy of glioma, but a method to overcome the development of chemo-resistance to these drugs is required, which may involve intervention to modulate miRNAs and exosomes. More studies are required to fully identify the specific miRNA and protein contents of exosomes, and their mechanism of action in various cancers, including gliomas.

Abbreviations

3-SD:

Triple phosphomimic

A:

Adenine

AGAP2:

Ankyrin repeat and PH domain 2

AGAP2:

Arf GTPase-activating protein-2

Ago:

Argonaute

Arf GAPs:

ADP-ribosylation factors GTPase-activating proteins

BBB:

Blood-brain barrier

BMVECs:

Brain microvascular endothelial cells

C:

Cytosine

CA-19-9:

Cancer antigen 19–9

CADM1:

Cell adhesion molecule 1

cAMP:

Cyclic adenosine monophosphate

CAV1:

Caveolin-1

cGMP:

Cyclic guanosine monophosphate

CNS:

Central nervous system

Cox:

Cyclooxygenase-1

cryAB:

Alpha-crystallin B

cryAB/HspB5:

HSPB5 (also known as CRYAB or αB- crystallin) is a small molecular weight heat shock protein (sHSP)

CSF:

Cerebrospinal fluid

CYP2J2:

Cytochrome P450 2 J2

ESCRT:

Endosomal sorting complexes required for transport

EVs:

Extracellular vesicles

exo-miR-301a:

Exosomal miR-301a

Exo:

Exosomal

EZH2:

Enhancer region of Zeste 2

FAK:

Focal adhesion kinase

FGFR:

Fibroblast growth factor receptor

G:

Guanine

GBM:

Glioblastoma multiforme

GBM:

Glioblastoma

GEXs:

Glioma-derived exosomes

GLUT:

Glucose transporter

GO:

Gene ontology

GPC1:

Glypican-1

GTP:

Guanosine-5′-triphosphate

H-GEXs:

Hypoxia-induced GEXs

Hbp1:

High-mobility group box transcription factor 1

HER2:

Human epidermal growth factor receptor 2;HMGB1

high mobility group box 1 protein

hMSCs:

Human mesenchymal stem cells

Hsp:

Heat shock proteins

IDHMUT :

Isocitrate dehydrogenase mutant

IL:

Interleukin

ILVs:

Intraluminal vesicles

K +:

Potassium

KEGG:

Kyoto encyclopedia of genes and genomes

L1CAM:

L1 cell adhesion molecule

MDSCs:

Myeloid-derived suppressor cells

miRNA:

MicroRNAs

MSCs:

Mesenchymal stem cells

mTOR:

Mammalian target of rapamycin

MVB:

Multivesicular bodies

MVE:

Multivesicular endosome

N-GEXs:

Normoxia-induced GEXs

NFX1:

X-box-binding protein 1

NHEJ:

Non-Homologous End Joining

NO:

Nitric oxide

OS:

Overall survival

PDCD4:

Programmed cell death 4

PKG1:

cGMP-dependent protein kinase 1

pri-miRNAs:

Primary miRNAs

Prkar1a:

Protein kinase cAMP-dependent type I regulatory subunit alpha

PTEN:

Phosphatase and tensin homolog

qPCR:

Quantitative polymerase chain reaction

RBP:

RNA-binding proteins

RECK: RGD:

Arginine, Guanine and Aspartic acid

RNA-ChIP:

RNA chromatin immunoprecipitation

RNase:

Ribonuclease

ROS:

Reactive oxygen species

SASH1:

SAM and SH3 domain-containing 1

shRNA:

Short hairpin RNA

sncRNAs:

Small non-coding RNAs

snoRNA:

Small nucleolar RNAs

STAT3:

Signal transducer and activator of transcription 3

T:

Thymine

TCEAL7:

Transcription Elongation Factor A Like 7

TCGA:

The Cancer Genome Atlas

TGF-β:

transforming growth factor β

TGN:

Trans-Golgi Network

TIMP3:

Tissue inhibitor of metalloproteinases-3

TLR4:

Transmembrane lipopolysaccharide receptor

TMZ:

Temozolomide

tRNA:

Transfer RNA

U:

Uracil

VEGF:

Vascular endothelial growth factor

Wnt:

Wingless-related integration site

XRCC4:

X-ray repair cross-complementing

YFP:

Yellow fluorescent protein

References

  1. 1.

    Schwartzbaum JA, Fisher JL, Aldape KD, Wrensch M. Epidemiology and molecular pathology of glioma. Nat Clin Pract Neurol. 2006;2(9):494–503.

    PubMed  Google Scholar 

  2. 2.

    Mutter N, Stupp R. Temozolomide: a milestone in neuro-oncology and beyond? Expert Rev Anticancer Ther. 2006;6(8):1187–204.

    CAS  PubMed  Google Scholar 

  3. 3.

    Zeng T, Cui D, Gao L. Glioma: an overview of current classifications, characteristics, molecular biology and target therapies. Front Biosci (Landmark Ed). 2015;20:1104–15.

    CAS  Google Scholar 

  4. 4.

    Komori T. The 2016 WHO classification of tumours of the central nervous system: the major points of revision. Neurologia Medico Chirurgica. 2017;57(7):301–11.

    PubMed  PubMed Central  Google Scholar 

  5. 5.

    Stupp R, Hegi ME, Mason WP, Van Den Bent MJ, Taphoorn MJ, Janzer RC, Ludwin SK, Allgeier A, Fisher B, Belanger K. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. Lancet Oncol. 2009;10(5):459–66.

    CAS  PubMed  Google Scholar 

  6. 6.

    Tkach M, Théry C. Communication by extracellular vesicles: where we are and where we need to go. Cell. 2016;164(6):1226–32.

    CAS  PubMed  Google Scholar 

  7. 7.

    Yuana Y, Sturk A, Nieuwland R. Extracellular vesicles in physiological and pathological conditions. Blood Rev. 2013;27(1):31–9.

    CAS  PubMed  Google Scholar 

  8. 8.

    Ratajczak J, Wysoczynski M, Hayek F, Janowska-Wieczorek A, Ratajczak M. Membrane-derived microvesicles: important and underappreciated mediators of cell-to-cell communication. Leukemia. 2006;20(9):1487–95.

    CAS  PubMed  Google Scholar 

  9. 9.

    Kucharzewska P, Christianson HC, Welch JE, Svensson KJ, Fredlund E, Ringnér M, Mörgelin M, Bourseau-Guilmain E, Bengzon J, Belting M. Exosomes reflect the hypoxic status of glioma cells and mediate hypoxia-dependent activation of vascular cells during tumor development. Proceed Nat Acad Sci. 2013;110(18):7312–7.

    CAS  Google Scholar 

  10. 10.

    Arscott WT, Tandle AT, Zhao S, Shabason JE, Gordon IK, Schlaff CD, Zhang G, Tofilon PJ, Camphausen KA. Ionizing radiation and glioblastoma exosomes: implications in tumor biology and cell migration. Transl Oncol. 2013;6(6):638.

    PubMed  PubMed Central  Google Scholar 

  11. 11.

    Valadi H, Ekström K, Bossios A, Sjöstrand M, Lee JJ, Lötvall JO. Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol. 2007;9(6):654–9.

    CAS  PubMed  Google Scholar 

  12. 12.

    Fujita Y, Yoshioka Y, Ochiya T. Extracellular vesicle transfer of cancer pathogenic components. Cancer Sci. 2016;107(4):385–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Mohammadi S, Yousefi F, Shabaninejad Z, Movahedpour A, Mahjoubin Tehran M, Shafiee A, Moradizarmehri S, Hajighadimi S, Savardashtaki A, Mirzaei H. Exosomes and cancer: From oncogenic roles to therapeutic applications. IUBMB life. 2020;72(4):724–48.

    CAS  PubMed  Google Scholar 

  14. 14.

    Mendell JT. MicroRNAs: critical regulators of development, cellular physiology and malignancy. Cell Cycle. 2005;4(9):1179–84.

    CAS  PubMed  Google Scholar 

  15. 15.

    Lee J, Hong BS, Ryu HS, Lee H-B, Lee M, Park IA, Kim J, Han W, Noh D-Y, Moon H-G. Transition into inflammatory cancer-associated adipocytes in breast cancer microenvironment requires microRNA regulatory mechanism. PLoS One. 2017;12(3):e0174126.

  16. 16.

    Zhang L, Zhang S, Yao J, Lowery FJ, Zhang Q, Huang W-C, Li P, Li M, Wang X, Zhang C. Microenvironment-induced PTEN loss by exosomal microRNA primes brain metastasis outgrowth. Nature. 2015;527(7576):100–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Pourhanifeh MH, Mahjoubin-Tehran M, Shafiee A, Hajighadimi S, Moradizarmehri S, Mirzaei H, Asemi Z. MicroRNAs and exosomes: Small molecules with big actions in multiple myeloma pathogenesis. IUBMB Life. 2020;72(3):314–33.

    CAS  PubMed  Google Scholar 

  18. 18.

    Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, Antoniou A, Arab T, Archer F, Atkin-Smith GK. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J Extracell Vesicles. 2018;7(1):1535750.

    PubMed  PubMed Central  Google Scholar 

  19. 19.

    Gould SJ, Raposo G. As we wait: coping with an imperfect nomenclature for extracellular vesicles. J Extracell Vesicles. 2013;2(1):20389.

    Google Scholar 

  20. 20.

    Van der Pol E, Böing AN, Harrison P, Sturk A, Nieuwland R. Classification, functions, and clinical relevance of extracellular vesicles. Pharmacol Rev. 2012;64(3):676–705.

    PubMed  Google Scholar 

  21. 21.

    Wu Y, Deng W, Klinke DJ II. Exosomes: improved methods to characterize their morphology, RNA content, and surface protein biomarkers. Analyst. 2015;140(19):6631–42.

    CAS  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Simons M, Raposo G. Exosomes–vesicular carriers for intercellular communication. Curr Opin Cell Biol. 2009;21(4):575–81.

    CAS  PubMed  Google Scholar 

  23. 23.

    Record M, Carayon K, Poirot M, Silvente-Poirot S. Exosomes as new vesicular lipid transporters involved in cell–cell communication and various pathophysiologies. Biochim Biophys Acta. 2014;1841(1):108–20.

    CAS  PubMed  Google Scholar 

  24. 24.

    Théry C, Zitvogel L, Amigorena S. Exosomes: composition, biogenesis and function. Nat Rev Immunol. 2002;2(8):569–79.

    PubMed  Google Scholar 

  25. 25.

    Kim YS, Ahn JS, Kim S, Kim HJ, Kim SH, Kang JS. The potential theragnostic (diagnostic+therapeutic) application of exosomes in diverse biomedical fields. Korean J Physiol Pharmacol. 2018;22(2):113–25.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Kowal J, Tkach M, Théry C. Biogenesis and secretion of exosomes. Curr Opin Cell Biol. 2014;29:116–25.

    CAS  PubMed  PubMed Central  Google Scholar 

  27. 27.

    McGough IJ, Vincent JP. Exosomes in developmental signalling. Development. 2016;143(14):2482–93.

    CAS  PubMed  Google Scholar 

  28. 28.

    Baietti MF, Zhang Z, Mortier E, Melchior A, Degeest G, Geeraerts A, Ivarsson Y, Depoortere F, Coomans C, Vermeiren E, et al. Syndecan-syntenin-ALIX regulates the biogenesis of exosomes. Nat Cell Biol. 2012;14(7):677–85.

    CAS  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Xu W, Zeng S, Li M, Fan Z, Zhou B. Aggf1 attenuates hepatic inflammation and activation of hepatic stellate cells by repressing Ccl2 transcription. J Biomed Res. 2016;31(1):1–9.

    PubMed  Google Scholar 

  30. 30.

    Madison MN, Okeoma CM. Exosomes: Implications in HIV-1 Pathogenesis. Viruses. 2015;7(7):4093–118.

    CAS  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Janas MM, Khaled M, Schubert S, Bernstein JG, Golan D, Veguilla RA, Fisher DE, Shomron N, Levy C, Novina CD. Feed-forward microprocessing and splicing activities at a microRNA–containing intron. PLoS Genet. 2011;7(10):e1002330.

  32. 32.

    Janas T, Janas MM, Sapoń K, Janas T. Mechanisms of RNA loading into exosomes. FEBS Lett. 2015;589(13):1391–8.

    CAS  PubMed  Google Scholar 

  33. 33.

    Meijer HA, Smith EM, Bushell M. Regulation of miRNA strand selection: follow the leader? Portland Press Ltd.; Biochem Soc Trans. 2014;42(4):1135–40.

  34. 34.

    Bang C, Batkai S, Dangwal S, Gupta SK, Foinquinos A, Holzmann A, Just A, Remke J, Zimmer K, Zeug A. Cardiac fibroblast–derived microRNA passenger strand-enriched exosomes mediate cardiomyocyte hypertrophy. J Clin Invest. 2014;124(5):2136–46.

    CAS  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Koppers-Lalic D, Hackenberg M, Bijnsdorp IV, van Eijndhoven MA, Sadek P, Sie D, Zini N, Middeldorp JM, Ylstra B, de Menezes RX. Nontemplated nucleotide additions distinguish the small RNA composition in cells from exosomes. Cell Rep. 2014;8(6):1649–58.

    CAS  PubMed  Google Scholar 

  36. 36.

    Ene CI, Holland EC. Personalized medicine for gliomas. Surg Neurol Int. 2015;6(Suppl 1):S89.

    PubMed  PubMed Central  Google Scholar 

  37. 37.

    Stupp R: European Organisation for Research and Treatment of Cancer brain tumor and radiotherapy groups; National Cancer Institute of Canada clinical trials group. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med. 2005;352:987–96.

    Google Scholar 

  38. 38.

    Wilson WR, Hay MP. Targeting hypoxia in cancer therapy. Nat Rev Cancer. 2011;11(6):393–410.

    CAS  PubMed  Google Scholar 

  39. 39.

    Kim Y, Lin Q, Glazer PM, Yun Z. Hypoxic tumor microenvironment and cancer cell differentiation. Curr Mol Med. 2009;9(4):425–34.

    CAS  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Muz B, de la Puente P, Azab F, Azab AK. The role of hypoxia in cancer progression, angiogenesis, metastasis, and resistance to therapy. Hypoxia. 2015;3:83.

    PubMed  PubMed Central  Google Scholar 

  41. 41.

    Garofalo M. Croce CM: microRNAs: Master regulators as potential therapeutics in cancer. Annu Rev Pharmacol Toxicol. 2011;51:25–43.

    CAS  PubMed  Google Scholar 

  42. 42.

    Yue X, Lan F, Xia T. Hypoxic Glioma Cell-Secreted Exosomal miR-301a Activates Wnt/beta-catenin Signaling and Promotes Radiation Resistance by Targeting TCEAL7. Mol Ther. 2019;27(11):1939–49.

    CAS  PubMed  Google Scholar 

  43. 43.

    Goldstein M, Kastan MB. The DNA damage response: implications for tumor responses to radiation and chemotherapy. Annu Rev Med. 2015;66:129–43.

    CAS  PubMed  Google Scholar 

  44. 44.

    Yoshimoto K, Mizoguchi M, Hata N, Murata H, Hatae R, Amano T, Nakamizo A, Sasaki T. Complex DNA repair pathways as possible therapeutic targets to overcome temozolomide resistance in glioblastoma. Front Oncol. 2012;2:186.

    CAS  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Helleday T, Lo J, van Gent DC, Engelward BP. DNA double-strand break repair: from mechanistic understanding to cancer treatment. DNA Repair (Amst). 2007;6(7):923–35.

    CAS  Google Scholar 

  46. 46.

    Helleday T. Homologous recombination in cancer development, treatment and development of drug resistance. Carcinogenesis. 2010;31(6):955–60.

    CAS  PubMed  Google Scholar 

  47. 47.

    Davis AJ, Chen DJ. DNA double strand break repair via non-homologous end-joining. Transl Cancer Res. 2013;2(3):130.

    CAS  PubMed  PubMed Central  Google Scholar 

  48. 48.

    Zhao P, Zou P, Zhao L, Yan W, Kang C, Jiang T, You Y. Genetic polymorphisms of DNA double-strand break repair pathway genes and glioma susceptibility. BMC Cancer. 2013;13:234.

    CAS  PubMed  PubMed Central  Google Scholar 

  49. 49.

    Jiao K, Qin J, Zhao Y, Zhang H. Genetic effects of XRCC4 and ligase IV genes on human glioma. Neuroreport. 2016;27(14):1024–30.

    CAS  PubMed  Google Scholar 

  50. 50.

    Zeng A, Wei Z, Yan W, Yin J, Huang X, Zhou X, Li R, Shen F, Wu W, Wang X, et al. Exosomal transfer of miR-151a enhances chemosensitivity to temozolomide in drug-resistant glioblastoma. Cancer Lett. 2018;436:10–21.

    CAS  PubMed  Google Scholar 

  51. 51.

    Wu X, Wang Y, Yu T, Nie E, Hu Q, Wu W, Zhi T, Jiang K, Wang X, Lu X. Blocking MIR155HG/miR-155 axis inhibits mesenchymal transition in glioma. Neuro Oncol. 2017;19(9):1195–205.

    CAS  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Shi X, Zhan L, Xiao C, Lei Z, Yang H, Wang L, Zhao J. Zhang H-T: miR-1238 inhibits cell proliferation by targeting LHX2 in non-small cell lung cancer. Oncotarget. 2015;6(22):19043.

    PubMed  PubMed Central  Google Scholar 

  53. 53.

    Yin J, Zeng A, Zhang Z, Shi Z, Yan W, You Y. Exosomal transfer of miR-1238 contributes to temozolomide-resistance in glioblastoma. EBioMed. 2019;42:238–51.

    Google Scholar 

  54. 54.

    Becker A, Thakur BK, Weiss JM, Kim HS, Peinado H, Lyden D. Extracellular Vesicles in Cancer: Cell-to-Cell Mediators of Metastasis. Cancer cell. 2016;30(6):836–48.

    CAS  PubMed  PubMed Central  Google Scholar 

  55. 55.

    Prados MD, Chang SM, Butowski N, DeBoer R, Parvataneni R, Carliner H, Kabuubi P, Ayers-Ringler J, Rabbitt J, Page M, et al. Phase II study of erlotinib plus temozolomide during and after radiation therapy in patients with newly diagnosed glioblastoma multiforme or gliosarcoma. J Clin Oncol. 2009;27(4):579–84.

    CAS  PubMed  Google Scholar 

  56. 56.

    Garnier D, Meehan B, Kislinger T, Daniel P, Sinha A, Abdulkarim B, Nakano I, Rak J. Divergent evolution of temozolomide resistance in glioblastoma stem cells is reflected in extracellular vesicles and coupled with radiosensitization. Neuro Oncol. 2018;20(2):236–48.

    CAS  PubMed  Google Scholar 

  57. 57.

    Shi L, Cheng Z, Zhang J, Li R, Zhao P, Fu Z. You Y: hsa-mir-181a and hsa-mir-181b function as tumor suppressors in human glioma cells. Brain Res. 2008;1236:185–93.

    CAS  PubMed  Google Scholar 

  58. 58.

    Eccles SA, Welch DR. Metastasis: recent discoveries and novel treatment strategies. Lancet. 2007;369(9574):1742–57.

    CAS  PubMed  PubMed Central  Google Scholar 

  59. 59.

    Lee SJ, Kang WY, Yoon Y, Jin JY, Song HJ, Her JH, Kang SM, Hwang YK, Kang KJ, Joo KM, et al. Natural killer (NK) cells inhibit systemic metastasis of glioblastoma cells and have therapeutic effects against glioblastomas in the brain. BMC Cancer. 2015;15:1011.

    PubMed  PubMed Central  Google Scholar 

  60. 60.

    Xue M, Chen W, Xiang A, Wang R, Chen H, Pan J, Pang H, An H, Wang X, Hou H, et al. Hypoxic exosomes facilitate bladder tumor growth and development through transferring long non-coding RNA-UCA1. Mol Cancer. 2017;16(1):143.

    PubMed  PubMed Central  Google Scholar 

  61. 61.

    Jung T, Castellana D, Klingbeil P, Cuesta Hernández I, Vitacolonna M, Orlicky DJ, Roffler SR, Brodt P, Zöller M. CD44v6 dependence of premetastatic niche preparation by exosomes. Neoplasia. 2009;11(10):1093–105.

    CAS  PubMed  PubMed Central  Google Scholar 

  62. 62.

    Gourlay J, Morokoff AP, Luwor RB, Zhu HJ, Kaye AH, Stylli SS. The emergent role of exosomes in glioma. J Clin Neurosci. 2017;35:13–23.

    CAS  PubMed  Google Scholar 

  63. 63.

    Thuringer D, Chanteloup G, Boucher J, Pernet N, Boudesco C, Jego G, Chatelier A, Bois P, Gobbo J, Cronier L, et al. Modulation of the inwardly rectifying potassium channel Kir4.1 by the pro-invasive miR-5096 in glioblastoma cells. Oncotarget. 2017;8(23):37681–93.

    PubMed  PubMed Central  Google Scholar 

  64. 64.

    Wong H-KA, Fatimy RE, Onodera C, Wei Z, Yi M, Mohan A, Gowrisankaran S, Karmali P, Marcusson E, Wakimoto H, et al. The Cancer Genome Atlas Analysis Predicts MicroRNA for Targeting Cancer Growth and Vascularization in Glioblastoma. Mol Ther. 2015;23(7):1234–47.

    CAS  PubMed  PubMed Central  Google Scholar 

  65. 65.

    Nakahata S, Morishita K. CADM1/TSLC1 is a novel cell surface marker for adult T-cell leukemia/lymphoma. J Clin Exp Hematop. 2012;52(1):17–22.

    PubMed  Google Scholar 

  66. 66.

    Zhang X, Li W, Kang Y, Zhang J, Yuan H. SynCAM, a novel putative tumor suppressor, suppresses growth and invasiveness of glioblastoma. Mol Biol Rep. 2013;40(9):5469–75.

    CAS  PubMed  Google Scholar 

  67. 67.

    Vallath S, Sage EK, Kolluri KK, Lourenco SN, Teixeira VS, Chimalapati S, George PJ, Janes SM, Giangreco A. CADM1 inhibits squamous cell carcinoma progression by reducing STAT3 activity. Sci Rep. 2016;6:–24006.

  68. 68.

    Chen F, Xu Y, Luo Y, Zheng D, Song Y, Yu K, Li H, Zhang L, Zhong W, Ji Y. Down-regulation of Stat3 decreases invasion activity and induces apoptosis of human glioma cells. J Mol Neurosci. 2010;40(3):353–9.

    CAS  PubMed  Google Scholar 

  69. 69.

    Kim JE, Patel M, Ruzevick J, Jackson CM, Lim M. STAT3 Activation in Glioblastoma: Biochemical and Therapeutic Implications. Cancers. 2014;6(1):376–95.

    CAS  PubMed  PubMed Central  Google Scholar 

  70. 70.

    Attarha S, Roy A, Westermark B, Tchougounova E. Mast cells modulate proliferation, migration and stemness of glioma cells through downregulation of GSK3β expression and inhibition of STAT3 activation. Cell Signalling. 2017;37:81–92.

    CAS  PubMed  Google Scholar 

  71. 71.

    Zhu Y, Zhang X, Wang L, Ji Z, Xie M, Zhou X, Liu Z, Shi H, Yu R. Loss of SH3GL2 promotes the migration and invasion behaviours of glioblastoma cells through activating the STAT3/MMP2 signalling. J Cell Mol Med. 2017;21(11):2685–94.

    CAS  PubMed  PubMed Central  Google Scholar 

  72. 72.

    Cai Q, Zhu A, Gong L. Exosomes of glioma cells deliver miR-148a to promote proliferation and metastasis of glioblastoma via targeting CADM1. Bull Cancer. 2018;105(7–8):643–51.

    PubMed  Google Scholar 

  73. 73.

    Gabrilovich DI, Nagaraj S. Myeloid-derived suppressor cells as regulators of the immune system. Nat Rev Immunol. 2009;9(3):162–74.

    CAS  PubMed  PubMed Central  Google Scholar 

  74. 74.

    Youn J-I, Nagaraj S, Collazo M, Gabrilovich DI. Subsets of myeloid-derived suppressor cells in tumor-bearing mice. J Immunol. 2008;181(8):5791–802.

    CAS  PubMed  PubMed Central  Google Scholar 

  75. 75.

    Guo X, Qiu W, Wang J, Liu Q, Qian M, Wang S, Zhang Z, Gao X, Chen Z, Guo Q, et al. Glioma exosomes mediate the expansion and function of myeloid-derived suppressor cells through microRNA-29a/Hbp1 and microRNA-92a/Prkar1a pathways. Int J Cancer. 2019;144(12):3111–26.

    CAS  PubMed  Google Scholar 

  76. 76.

    Malhotra M, Sekar TV, Ananta JS, Devulapally R, Afjei R, Babikir HA, Paulmurugan R, Massoud TF. Targeted nanoparticle delivery of therapeutic antisense microRNAs presensitizes glioblastoma cells to lower effective doses of temozolomide in vitro and in a mouse model. Oncotarget. 2018;9(30):21478.

    PubMed  PubMed Central  Google Scholar 

  77. 77.

    Chai C, Song LJ, Han SY, Li XQ, Li M. Micro RNA-21 promotes glioma cell proliferation and inhibits senescence and apoptosis by targeting SPRY 1 via the PTEN/PI 3K/AKT signaling pathway. CNS neuroscience & therapeutics. 2018;24(5):369–80.

    CAS  Google Scholar 

  78. 78.

    Gao F, Zhang P, Zhou C, Li J, Wang Q, Zhu F, Ma C, Sun W, Zhang L. Frequent loss of PDCD4 expression in human glioma: possible role in the tumorigenesis of glioma. Oncol Rep. 2007;17(1):123–8.

    CAS  PubMed  Google Scholar 

  79. 79.

    Sekar D, Saravanan S, Karikalan K, Thirugnanasambantham K, Lalitha P, IH Islam V. Role of microRNA 21 in mesenchymal stem cell (MSC) differentiation: a powerful biomarker in MSCs derived cells. Curr Pharm Biotechnol. 2015;16(1):43–8.

    CAS  PubMed  Google Scholar 

  80. 80.

    Papagiannakopoulos T, Shapiro A, Kosik KS. MicroRNA-21 targets a network of key tumor-suppressive pathways in glioblastoma cells. Cancer Res. 2008;68(19):8164–72.

    CAS  PubMed  Google Scholar 

  81. 81.

    Gaur AB, Holbeck SL, Colburn NH, Israel MA. Downregulation of Pdcd4 by mir-21 facilitates glioblastoma proliferation in vivo. Neuro Oncol. 2011;13(6):580–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  82. 82.

    Gabriely G, Wurdinger T, Kesari S, Esau CC, Burchard J, Linsley PS, Krichevsky AM. MicroRNA 21 promotes glioma invasion by targeting matrix metalloproteinase regulators. Mol Cell Biol. 2008;28(17):5369–80.

    CAS  PubMed  PubMed Central  Google Scholar 

  83. 83.

    Lu Z, Liu M, Stribinskis V, Klinge C, Ramos K, Colburn N, Li Y. MicroRNA-21 promotes cell transformation by targeting the programmed cell death 4 gene. Oncogene. 2008;27(31):4373–9.

    CAS  PubMed  Google Scholar 

  84. 84.

    Yang CH, Yue J, Pfeffer SR, Fan M, Paulus E, Hosni-Ahmed A, Sims M, Qayyum S, Davidoff AM, Handorf CR. MicroRNA-21 promotes glioblastoma tumorigenesis by down-regulating insulin-like growth factor-binding protein-3 (IGFBP3). J Biol Chem. 2014;289(36):25079–87.

    CAS  PubMed  PubMed Central  Google Scholar 

  85. 85.

    Belter A, Rolle K, Piwecka M, Fedoruk-Wyszomirska A, Naskręt-Barciszewska MZ, Barciszewski J. Inhibition of miR-21 in glioma cells using catalytic nucleic acids. Sci Rep. 2016;6(1):1–13.

    Google Scholar 

  86. 86.

    Sicard F, Gayral M, Lulka H, Buscail L, Cordelier P. Targeting miR-21 for the therapy of pancreatic cancer. Mol Ther. 2013;21(5):986–94.

    CAS  PubMed  PubMed Central  Google Scholar 

  87. 87.

    Devulapally R, Sekar NM, Sekar TV, Foygel K, Massoud TF. Willmann JrK, Paulmurugan R: Polymer nanoparticles mediated codelivery of antimiR-10b and antimiR-21 for achieving triple negative breast cancer therapy. ACS Nano. 2015;9(3):2290–302.

    CAS  PubMed  PubMed Central  Google Scholar 

  88. 88.

    Haraguchi T, Ozaki Y, Iba H. Vectors expressing efficient RNA decoys achieve the long-term suppression of specific microRNA activity in mammalian cells. Nucleic Acid Res. 2009;37(6):e43.

    PubMed  Google Scholar 

  89. 89.

    Mullokandov G, Baccarini A, Ruzo A, Jayaprakash AD, Tung N, Israelow B, Evans MJ, Sachidanandam R, Brown BD. High-throughput assessment of microRNA activity and function using microRNA sensor and decoy libraries. Nat Method. 2012;9(8):840.

    CAS  Google Scholar 

  90. 90.

    Bak RO, Hollensen AK, Mikkelsen JG. Managing microRNAs with vector-encoded decoy-type inhibitors. Mol Ther. 2013;21(8):1478–85.

    CAS  PubMed  PubMed Central  Google Scholar 

  91. 91.

    Monfared H, Jahangard Y, Nikkhah M, Mirnajafi-Zadeh J, Mowla SJ. Potential Therapeutic Effects of Exosomes Packed With a miR-21-Sponge Construct in a Rat Model of Glioblastoma. Front Oncol. 2019;9:782.

    PubMed  PubMed Central  Google Scholar 

  92. 92.

    Bergfeld SA, DeClerck YA. Bone marrow-derived mesenchymal stem cells and the tumor microenvironment. Cancer Metastasis Rev. 2010;29(2):249–61.

    PubMed  Google Scholar 

  93. 93.

    Mianehsaz E, Mirzaei HR, Mahjoubin-Tehran M, Rezaee A, Sahebnasagh R, Pourhanifeh MH, Mirzaei H, Hamblin MR. Mesenchymal stem cell-derived exosomes: a new therapeutic approach to osteoarthritis? Stem Cell Research Ther. 2019;10(1):340.

    Google Scholar 

  94. 94.

    Ho IA, Toh HC, Ng WH, Teo YL, Guo CM, Hui KM, Lam PY. Human bone marrow-derived mesenchymal stem cells suppress human glioma growth through inhibition of angiogenesis. Stem Cells. 2013;31(1):146–55.

    CAS  PubMed  Google Scholar 

  95. 95.

    Zhu W, Huang L, Li Y, Zhang X, Gu J, Yan Y, Xu X, Wang M, Qian H, Xu W. Exosomes derived from human bone marrow mesenchymal stem cells promote tumor growth in vivo. Cancer Lett. 2012;315(1):28–37.

    CAS  PubMed  Google Scholar 

  96. 96.

    Nohata N, Hanazawa T, Enokida H. Seki N: microRNA-1/133a and microRNA-206/133b clusters: dysregulation and functional roles in human cancers. Oncotarget. 2012;3(1):9.

    PubMed  PubMed Central  Google Scholar 

  97. 97.

    Chang L, Lei X, Qin Y, Zhang X, Jin H, Wang C, Wang X, Li G, Tan C, Su J. MicroRNA-133b inhibits cell migration and invasion by targeting matrix metalloproteinase 14 in glioblastoma. Oncol Lett. 2015;10(5):2781–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  98. 98.

    Li C, Liu Z, Yang K, Chen X, Zeng Y, Liu J, Li Z. Liu Y: miR-133b inhibits glioma cell proliferation and invasion by targeting Sirt1. Oncotarget. 2016;7(24):36247.

    PubMed  PubMed Central  Google Scholar 

  99. 99.

    Orzan F, Pellegatta S, Poliani P, Pisati F, Caldera V, Menghi F, Kapetis D, Marras C, Schiffer D, Finocchiaro G. Enhancer of Zeste 2 (EZH2) is up-regulated in malignant gliomas and in glioma stem-like cells. Neuropathol Appl Neurobiol. 2011;37(4):381–94.

    CAS  PubMed  Google Scholar 

  100. 100.

    Yen S-Y, Chuang H-M, Huang M-H, Lin S-Z, Chiou T-W, Harn H-J. n-Butylidenephthalide regulated tumor stem cell genes EZH2/AXL and reduced its migration and invasion in glioblastoma. Int J Mol Sci. 2017;18(2):372.

    PubMed Central  Google Scholar 

  101. 101.

    Wang Y, Wang M, Wei W, Han D, Chen X, Hu Q, Yu T, Liu N, You Y, Zhang J. Disruption of the EZH2/miRNA/β-catenin signaling suppresses aerobic glycolysis in glioma. Oncotarget. 2016;7(31):49450.

    PubMed  PubMed Central  Google Scholar 

  102. 102.

    Gao L, Chen B, Li J, Yang F, Cen X, Liao Z, Xa L. Wnt/β-catenin signaling pathway inhibits the proliferation and apoptosis of U87 glioma cells via different mechanisms. PLoS One. 2017;12(8):e0181346.

  103. 103.

    Zuccarini M, Giuliani P, Ziberi S, Carluccio M, Iorio PD, Caciagli F, Ciccarelli R. The role of Wnt signal in glioblastoma development and progression: a possible new pharmacological target for the therapy of this tumor. Genes. 2018;9(2):105.

    PubMed Central  Google Scholar 

  104. 104.

    Xu H, Zhao G, Zhang Y, Jiang H, Wang W, Zhao D, Hong J, Yu H, Qi L. Mesenchymal stem cell-derived exosomal microRNA-133b suppresses glioma progression via Wnt/beta-catenin signaling pathway by targeting EZH2. Stem Cell Res Ther. 2019;10(1):381.

    CAS  PubMed  PubMed Central  Google Scholar 

  105. 105.

    Chen PW, Jian X, Luo R, Randazzo PA. Approaches to studying Arf GAPs in cells: in vitro assay with isolated focal adhesions. Curr Protocols Cell Biol. 2012;55(1):17.13. 11–20.

    Google Scholar 

  106. 106.

    Kobayashi N, Kon S, Henmi Y, Funaki T, Satake M, Tanabe K. The Arf GTPase-activating protein SMAP1 promotes transferrin receptor endocytosis and interacts with SMAP2. Biochem Biophys Res Commun. 2014;453(3):473–9.

    CAS  PubMed  Google Scholar 

  107. 107.

    Zhu Y, Wu Y, Kim JI, Wang Z, Daaka Y, Nie Z. Arf GTPase-activating protein AGAP2 regulates focal adhesion kinase activity and focal adhesion remodeling. J Biol Chem. 2009;284(20):13489–96.

    CAS  PubMed  PubMed Central  Google Scholar 

  108. 108.

    Yu L, Gui S, Liu Y, Qiu X, Zhang G, Zhang X, Pan J, Fan J, Qi S, Qiu B. Exosomes derived from microRNA-199a-overexpressing mesenchymal stem cells inhibit glioma progression by down-regulating AGAP2. Aging. 2019;11(15):5300–18.

    CAS  PubMed  PubMed Central  Google Scholar 

  109. 109.

    Wang X-P, Deng X-L, Li L-Y. MicroRNA-584 functions as a tumor suppressor and targets PTTG1IP in glioma. Int J Clin Exp Pathol. 2014;7(12):8573.

    PubMed  PubMed Central  Google Scholar 

  110. 110.

    Xiang X, Mei H, Qu H, Zhao X, Li D, Song H, Jiao W, Pu J, Huang K, Zheng L. miRNA-584-5p exerts tumor suppressive functions in human neuroblastoma through repressing transcription of matrix metalloproteinase 14. Biochimica et Biophysica Acta. 2015;1852(9):1743–54.

    CAS  PubMed  Google Scholar 

  111. 111.

    Ueno K, Hirata H, Shahryari V, Chen Y, Zaman M, Singh K, Tabatabai Z, Hinoda Y, Dahiya R. Tumour suppressor microRNA-584 directly targets oncogene Rock-1 and decreases invasion ability in human clear cell renal cell carcinoma. Br J Cancer. 2011;104(2):308–15.

    CAS  PubMed  Google Scholar 

  112. 112.

    Fils-Aimé N, Dai M, Guo J, El-Mousawi M, Kahramangil B, Neel J-C, Lebrun J-J. MicroRNA-584 and the protein phosphatase and actin regulator 1 (PHACTR1), a new signaling route through which transforming growth factor-β mediates the migration and actin dynamics of breast cancer cells. J Biol Chem. 2013;288(17):11807–23.

    PubMed  PubMed Central  Google Scholar 

  113. 113.

    Kim R, Lee S, Lee J, Kim M, Kim WJ, Lee HW, Lee MY, Kim J, Chang W. Exosomes derived from microRNA-584 transfected mesenchymal stem cells: novel alternative therapeutic vehicles for cancer therapy. BMB Rep. 2018;51(8):406–11.

    CAS  PubMed  PubMed Central  Google Scholar 

  114. 114.

    Ellingson BM, Wen PY, Cloughesy TF. Modified criteria for radiographic response assessment in glioblastoma clinical trials. Neurotherapeutics. 2017;14(2):307–20.

    PubMed  PubMed Central  Google Scholar 

  115. 115.

    Saadatpour L, Fadaee E, Fadaei S, Mansour RN, Mohammadi M, Mousavi S, Goodarzi M, Verdi J, Mirzaei H. Glioblastoma: exosome and microRNA as novel diagnosis biomarkers. Cancer Gene Ther. 2016;23(12):415–8.

    CAS  PubMed  Google Scholar 

  116. 116.

    Skog J, Würdinger T, Van Rijn S, Meijer DH, Gainche L, Curry WT, Carter BS, Krichevsky AM, Breakefield XO. Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat Cell Biol. 2008;10(12):1470–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  117. 117.

    Hallal S, Russell BP, Wei H, Lee MYT, Toon CW, Sy J, Shivalingam B, Buckland ME, Kaufman KL. Extracellular Vesicles from Neurosurgical Aspirates Identifies Chaperonin Containing TCP1 Subunit 6A as a Potential Glioblastoma Biomarker with Prognostic Significance. Proteomics. 2019;19(1–2):e1800157.

    PubMed  Google Scholar 

  118. 118.

    Mallawaaratchy DM, Hallal S, Russell B, Ly L, Ebrahimkhani S, Wei H, Christopherson RI, Buckland ME, Kaufman KL. Comprehensive proteome profiling of glioblastoma-derived extracellular vesicles identifies markers for more aggressive disease. J Neuro Oncol. 2017;131(2):233–44.

    CAS  Google Scholar 

  119. 119.

    Chen X, Yang F, Zhang T, Wang W, Xi W, Li Y, Zhang D, Huo Y, Zhang J, Yang A, et al. MiR-9 promotes tumorigenesis and angiogenesis and is activated by MYC and OCT4 in human glioma. J Exp Clin Cancer Res. 2019;38(1):99.

    PubMed  PubMed Central  Google Scholar 

  120. 120.

    Guo X, Qiu W, Liu Q, Qian M, Wang S, Zhang Z, Gao X, Chen Z, Xue H, Li G. Immunosuppressive effects of hypoxia-induced glioma exosomes through myeloid-derived suppressor cells via the miR-10a/Rora and miR-21/Pten Pathways. Oncogene. 2018;37(31):4239–59.

    CAS  PubMed  Google Scholar 

  121. 121.

    Santangelo A, Imbruce P, Gardenghi B, Belli L, Agushi R, Tamanini A, Munari S, Bossi AM, Scambi I, Benati D, et al. A microRNA signature from serum exosomes of patients with glioma as complementary diagnostic biomarker. J Neurooncol. 2018;136(1):51–62.

    CAS  PubMed  Google Scholar 

  122. 122.

    Henriksen M, Johnsen KB, Olesen P, Pilgaard L, Duroux M. MicroRNA expression signatures and their correlation with clinicopathological features in glioblastoma multiforme. Neuromol Med. 2014;16(3):565–77.

    CAS  Google Scholar 

  123. 123.

    Sun X, Ma X, Wang J, Zhao Y, Wang Y, Bihl JC, Chen Y, Jiang C. Glioma stem cells-derived exosomes promote the angiogenic ability of endothelial cells through miR-21/VEGF signal. Oncotarget. 2017;8(22):36137–48.

    PubMed  PubMed Central  Google Scholar 

  124. 124.

    Lang FM, Hossain A, Gumin J, Momin EN, Shimizu Y, Ledbetter D, Shahar T, Yamashita S, Parker Kerrigan B, Fueyo J, et al. Mesenchymal stem cells as natural biofactories for exosomes carrying miR-124a in the treatment of gliomas. Neuro Oncol. 2018;20(3):380–90.

    CAS  PubMed  Google Scholar 

  125. 125.

    van der Vos KE, Abels ER, Zhang X, Lai C, Carrizosa E, Oakley D, Prabhakar S, Mardini O, Crommentuijn MH, Skog J, et al. Directly visualized glioblastoma-derived extracellular vesicles transfer RNA to microglia/macrophages in the brain. Neuro Oncol. 2016;18(1):58–69.

    PubMed  Google Scholar 

  126. 126.

    Monteforte A, Lam B, Sherman MB, Henderson K, Sligar AD, Spencer A, Tang B, Dunn AK. Baker AB: (*) Glioblastoma Exosomes for Therapeutic Angiogenesis in Peripheral Ischemia. Tissue Eng A. 2017;23(21–22):1251–61.

    CAS  Google Scholar 

  127. 127.

    Akers JC, Ramakrishnan V, Kim R, Phillips S, Kaimal V, Mao Y, Hua W, Yang I, Fu CC. Nolan J et al: miRNA contents of cerebrospinal fluid extracellular vesicles in glioblastoma patients. J Neurooncol. 2015;123(2):205–16.

    CAS  PubMed  PubMed Central  Google Scholar 

  128. 128.

    Fareh M, Almairac F, Turchi L, Burel-Vandenbos F, Paquis P, Fontaine D, Lacas-Gervais S, Junier MP, Chneiweiss H, Virolle T. Cell-based therapy using miR-302-367 expressing cells represses glioblastoma growth. Cell Death Dis. 2017;8(3):e2713.

    PubMed  PubMed Central  Google Scholar 

  129. 129.

    Tuzesi A, Kling T, Wenger A, Lunavat TR, Jang SC, Rydenhag B, Lotvall J, Pollard SM, Danielsson A, Caren H. Pediatric brain tumor cells release exosomes with a miRNA repertoire that differs from exosomes secreted by normal cells. Oncotarget. 2017;8(52):90164–75.

    PubMed  PubMed Central  Google Scholar 

  130. 130.

    Figueroa J, Phillips LM, Shahar T, Hossain A, Gumin J, Kim H, Bean AJ, Calin GA, Fueyo J, Walters ET, et al. Exosomes from Glioma-Associated Mesenchymal Stem Cells Increase the Tumorigenicity of Glioma Stem-like Cells via Transfer of miR-1587. Cancer Res. 2017;77(21):5808–19.

    CAS  PubMed  PubMed Central  Google Scholar 

  131. 131.

    Deng SZ, Lai MF, Li YP, Xu CH, Zhang HR, Kuang JG. Human marrow stromal cells secrete microRNA-375-containing exosomes to regulate glioma progression. Cancer Gene Ther. 2020;27(3-4):203-15.

  132. 132.

    Shao N, Xue L, Wang R, Luo K, Zhi F. miR-454-3p Is an Exosomal Biomarker and Functions as a Tumor Suppressor in Glioma. Mol Cancer Ther. 2019;18(2):459–69.

    CAS  PubMed  Google Scholar 

  133. 133.

    Katakowski M, Buller B, Zheng X, Lu Y, Rogers T, Osobamiro O, Shu W, Jiang F, Chopp M. Exosomes from marrow stromal cells expressing miR-146b inhibit glioma growth. Cancer Lett. 2013;335(1):201–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  134. 134.

    Qian M, Wang S. Hypoxic glioma-derived exosomes deliver microRNA-1246 to induce M2 macrophage polarization by targeting TERF2IP via the STAT3 and NF-kappaB pathways; 2019.

    Google Scholar 

  135. 135.

    Sharif S, Ghahremani MH, Soleimani M. Delivery of Exogenous miR-124 to Glioblastoma Multiform Cells by Wharton's Jelly Mesenchymal Stem Cells Decreases Cell Proliferation and Migration, and Confers Chemosensitivity. Stem Cell Rev Rep. 2018;14(2):236–46.

    CAS  PubMed  Google Scholar 

  136. 136.

    Ebrahimkhani S, Vafaee F. Deep sequencing of circulating exosomal microRNA allows non-invasive glioblastoma diagnosis, vol. 2; 2018. p. 28.

    Google Scholar 

  137. 137.

    Lan F, Qing Q, Pan Q, Hu M, Yu H, Yue X. Serum exosomal miR-301a as a potential diagnostic and prognostic biomarker for human glioma. Cell Oncol. 2018;41(1):25–33.

    CAS  Google Scholar 

  138. 138.

    Yang JK, Yang JP, Tong J, Jing SY, Fan B, Wang F, Sun GZ, Jiao BH. Exosomal miR-221 targets DNM3 to induce tumor progression and temozolomide resistance in glioma. J Neurooncol. 2017;131(2):255–65.

    CAS  PubMed  Google Scholar 

  139. 139.

    Wang ZF, Liao F, Wu H, Dai J. Glioma stem cells-derived exosomal miR-26a promotes angiogenesis of microvessel endothelial cells in glioma. J Exp Clin Cancer Res. 2019;38(1):201.

    CAS  PubMed  PubMed Central  Google Scholar 

  140. 140.

    Sedighi M, Zahedi Bialvaei A, Hamblin MR, Ohadi E, Asadi A, Halajzadeh M, Lohrasbi V, Mohammadzadeh N, Amiriani T, Krutova M, et al. Therapeutic bacteria to combat cancer; current advances, challenges, and opportunities. Cancer Med. 2019;8(6):3167–81.

    PubMed  PubMed Central  Google Scholar 

  141. 141.

    Kucharzewska P, Christianson HC, Welch JE, Svensson KJ, Fredlund E, Ringner M, Morgelin M, Bourseau-Guilmain E, Bengzon J, Belting M. Exosomes reflect the hypoxic status of glioma cells and mediate hypoxia-dependent activation of vascular cells during tumor development. Proc Nat Acad Sci U S A. 2013;110(18):7312–7.

    CAS  Google Scholar 

  142. 142.

    Pace KR, Dutt R, Galileo DS. Exosomal L1CAM stimulates glioblastoma cell motility, proliferation, and invasiveness. Int J Mol Sci. 2019;20(16):3982.

    CAS  PubMed Central  Google Scholar 

  143. 143.

    Yoon JH, Kim J, Kim KL, Kim DH, Jung SJ, Lee H, Ghim J, Kim D, Park JB, Ryu SH, et al. Proteomic analysis of hypoxia-induced U373MG glioma secretome reveals novel hypoxia-dependent migration factors. Proteomics. 2014;14(12):1494–502.

    CAS  PubMed  Google Scholar 

  144. 144.

    Choi D, Montermini L, Kim DK, Meehan B, Roth FP, Rak J. The Impact of Oncogenic EGFRvIII on the Proteome of Extracellular Vesicles Released from Glioblastoma Cells. Mol Cell Proteomics. 2018;17(10):1948–64.

    CAS  PubMed  PubMed Central  Google Scholar 

  145. 145.

    Zhao C, Wang H, Xiong C, Liu Y. Hypoxic glioblastoma release exosomal VEGF-A induce the permeability of blood-brain barrier. Biochem Biophys Res Commun. 2018;502(3):324–31.

    CAS  PubMed  Google Scholar 

  146. 146.

    Kore RA, Abraham EC. Inflammatory cytokines, interleukin-1 beta and tumor necrosis factor-alpha, upregulated in glioblastoma multiforme, raise the levels of CRYAB in exosomes secreted by U373 glioma cells. Biochem Biophys Res Commun. 2014;453(3):326–31.

    CAS  PubMed  PubMed Central  Google Scholar 

  147. 147.

    Huang K, Fang C, Yi K, Liu X, Qi H, Tan Y, Zhou J, Li Y, Liu M, Zhang Y, et al. The role of PTRF/Cavin1 as a biomarker in both glioma and serum exosomes. Theranostics. 2018;8(6):1540–57.

    CAS  PubMed  PubMed Central  Google Scholar 

  148. 148.

    Muller L, Muller-Haegele S, Mitsuhashi M, Gooding W, Okada H, Whiteside TL. Exosomes isolated from plasma of glioma patients enrolled in a vaccination trial reflect antitumor immune activity and might predict survival. Oncoimmunology. 2015;4(6):e1008347.

    PubMed  PubMed Central  Google Scholar 

  149. 149.

    Madhankumar AB, Mrowczynski OD, Patel SR, Weston CL, Zacharia BE, Glantz MJ, Siedlecki CA, Xu LC, Connor JR. Interleukin-13 conjugated quantum dots for identification of glioma initiating cells and their extracellular vesicles. Acta Biomaterialia. 2017;58:205–13.

    CAS  PubMed  Google Scholar 

  150. 150.

    Svensson KJ, Christianson HC, Wittrup A, Bourseau-Guilmain E, Lindqvist E, Svensson LM, Morgelin M, Belting M. Exosome uptake depends on ERK1/2-heat shock protein 27 signaling and lipid Raft-mediated endocytosis negatively regulated by caveolin-1. J Biol Chem. 2013;288(24):17713–24.

    CAS  PubMed  PubMed Central  Google Scholar 

  151. 151.

    Zhu L, Oh JM, Gangadaran P, Kalimuthu S, Baek SH, Jeong SY, Lee SW, Lee J, Ahn BC. Targeting and Therapy of Glioblastoma in a Mouse Model Using Exosomes Derived From Natural Killer Cells. Front Immunol. 2018;9:824.

    PubMed  PubMed Central  Google Scholar 

  152. 152.

    Barbagallo D, Caponnetto A, Cirnigliaro M, Brex D, Barbagallo C. CircSMARCA5 Inhibits Migration of Glioblastoma Multiforme Cells by Regulating a Molecular Axis Involving Splicing Factors SRSF1/SRSF3/PTB. Int J Mol Sci. 2018;19(2):480.

  153. 153.

    Vaidya M, Bacchus M, Sugaya K. Differential sequences of exosomal NANOG DNA as a potential diagnostic cancer marker. PLoS One. 2018;13(5):e0197782.

    PubMed  PubMed Central  Google Scholar 

  154. 154.

    Liu ZM, Wang YB, Yuan XH. Exosomes from murine-derived GL26 cells promote glioblastoma tumor growth by reducing number and function of CD8+T cells. Asian Pac J Cancer Prev. 2013;14(1):309–14.

    PubMed  Google Scholar 

  155. 155.

    Hao S, Ma H, Niu Z, Sun S, Zou Y, Xia H. hUC-MSCs secreted exosomes inhibit the glioma cell progression through PTENP1/miR-10a-5p/PTEN pathway. Eur Rev Med Pharmacol Sci. 2019;23(22):10013–23.

    PubMed  Google Scholar 

  156. 156.

    Setti M, Osti D, Richichi C, Ortensi B, Del Bene M, Fornasari L, Beznoussenko G, Mironov A, Rappa G, Cuomo A, et al. Extracellular vesicle-mediated transfer of CLIC1 protein is a novel mechanism for the regulation of glioblastoma growth. Oncotarget. 2015;6(31):31413–27.

    PubMed  PubMed Central  Google Scholar 

  157. 157.

    Luhtala N, Hunter T. Failure to detect functional transfer of active K-Ras protein from extracellular vesicles into recipient cells in culture. PLoS One. 2018;13(9):e0203290.

    PubMed  PubMed Central  Google Scholar 

  158. 158.

    Harshyne LA, Nasca BJ, Kenyon LC, Andrews DW, Hooper DC. Serum exosomes and cytokines promote a T-helper cell type 2 environment in the peripheral blood of glioblastoma patients. Neuro Oncol. 2016;18(2):206–15.

    CAS  PubMed  Google Scholar 

  159. 159.

    Pinet S, Bessette B, Vedrenne N, Lacroix A, Richard L, Jauberteau MO, Battu S, Lalloue F. TrkB-containing exosomes promote the transfer of glioblastoma aggressiveness to YKL-40-inactivated glioblastoma cells. Oncotarget. 2016;7(31):50349–64.

    PubMed  PubMed Central  Google Scholar 

  160. 160.

    Yu T, Wang X, Zhi T, Zhang J, Wang Y, Nie E, Zhou F, You Y, Liu N. Delivery of MGMT mRNA to glioma cells by reactive astrocyte-derived exosomes confers a temozolomide resistance phenotype. Cancer Lett. 2018;433:210–20.

    CAS  PubMed  Google Scholar 

  161. 161.

    Manda SV, Kataria Y, Tatireddy BR, Ramakrishnan B, Ratnam BG, Lath R, Ranjan A, Ray A. Exosomes as a biomarker platform for detecting epidermal growth factor receptor-positive high-grade gliomas. J Neurosurg. 2018;128(4):1091–101.

    CAS  PubMed  Google Scholar 

  162. 162.

    Bai H, Pan Y, Qi L, Liu L, Zhao X, Dong H, Cheng X, Qin W, Wang X. Development a hydrazide-functionalized thermosensitive polymer based homogeneous system for highly efficient N-glycoprotein/glycopeptide enrichment from human plasma exosome. Talanta. 2018;186:513–20.

    CAS  PubMed  Google Scholar 

  163. 163.

    Kore RA, Edmondson JL, Jenkins SV, Jamshidi-Parsian A, Dings RPM, Reyna NS, Griffin RJ. Hypoxia-derived exosomes induce putative altered pathways in biosynthesis and ion regulatory channels in glioblastoma cells. Biochem Biophys Rep. 2018;14:104–13.

    PubMed  PubMed Central  Google Scholar 

  164. 164.

    Bu N, Wu H, Zhang G, Zhan S, Zhang R, Sun H, Du Y, Yao L, Wang H. Exosomes from Dendritic Cells Loaded with Chaperone-Rich Cell Lysates Elicit a Potent T Cell Immune Response Against Intracranial Glioma in Mice. J Mol Neurosci. 2015;56(3):631–43.

    CAS  PubMed  Google Scholar 

  165. 165.

    Volak A, LeRoy SG, Natasan JS, Park DJ, Cheah PS, Maus A, Fitzpatrick Z, Hudry E, Pinkham K, Gandhi S, et al. Virus vector-mediated genetic modification of brain tumor stromal cells after intravenous delivery. J Neurooncol. 2018;139(2):293–305.

    CAS  PubMed  PubMed Central  Google Scholar 

  166. 166.

    Ma Z, Cui X, Lu L, Chen G, Yang Y, Hu Y, Lu Y, Cao Z, Wang Y, Wang X. Exosomes from glioma cells induce a tumor-like phenotype in mesenchymal stem cells by activating glycolysis. Stem Cell Res Ther. 2019;10(1):60.

    CAS  PubMed  PubMed Central  Google Scholar 

  167. 167.

    Ding X, Ma M, Teng J, Teng RK, Zhou S, Yin J, Fonkem E, Huang JH, Wu E, Wang X. Exposure to ALS-FTD-CSF generates TDP-43 aggregates in glioblastoma cells through exosomes and TNTs-like structure. Oncotarget. 2015;6(27):24178–91.

    PubMed  PubMed Central  Google Scholar 

  168. 168.

    Li CC, Eaton SA, Young PE, Lee M, Shuttleworth R, Humphreys DT, Grau GE, Combes V, Bebawy M, Gong J. Glioma microvesicles carry selectively packaged coding and non-coding RNAs which alter gene expression in recipient cells. RNA Biol. 2013;10(8):1333–44.

    CAS  PubMed  PubMed Central  Google Scholar 

  169. 169.

    Manterola L, Guruceaga E, Gállego Pérez-Larraya J, González-Huarriz M, Jauregui P, Tejada S, Diez-Valle R, Segura V, Samprón N, Barrena C, et al. A small noncoding RNA signature found in exosomes of GBM patient serum as a diagnostic tool. Neuro Oncol. 2014;16(4):520–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  170. 170.

    Shi R, Wang P-Y, Li X-Y, Chen J-X, Li Y, Zhang X-Z, Zhang C-G, Jiang T, Li W-B, Ding W, et al. Exosomal levels of miRNA-21 from cerebrospinal fluids associated with poor prognosis and tumor recurrence of glioma patients. Oncotarget. 2015;6(29):26971–81.

    PubMed  PubMed Central  Google Scholar 

  171. 171.

    Wei Z, Batagov AO, Schinelli S, Wang J, Wang Y, El Fatimy R, Rabinovsky R, Balaj L, Chen CC, Hochberg F, et al. Coding and noncoding landscape of extracellular RNA released by human glioma stem cells. Nat Commun. 2017;8(1):1145.

    PubMed  PubMed Central  Google Scholar 

  172. 172.

    Li Z, Ye L, Wang L, Quan R, Zhou Y, Li X. Identification of miRNA signatures in serum exosomes as a potential biomarker after radiotherapy treatment in glioma patients. Ann Diagnostic Pathol. 2020;44:151436.

    Google Scholar 

  173. 173.

    Chen I-H, Xue L, Hsu C-C, Paez JSP, Pan L, Andaluz H, Wendt MK, Iliuk AB, Zhu J-K, Tao WA. Phosphoproteins in extracellular vesicles as candidate markers for breast cancer. Proceed Nat Acad Sci. 2017;114(12):3175–80.

    CAS  Google Scholar 

  174. 174.

    Al-Nedawi K, Meehan B, Micallef J, Lhotak V, May L, Guha A, Rak J. Intercellular transfer of the oncogenic receptor EGFRvIII by microvesicles derived from tumour cells. Nat Cell Biol. 2008;10(5):619–24.

    CAS  PubMed  Google Scholar 

  175. 175.

    Schiera G, Di Liegro CM, Saladino P, Pitti R, Savettieri G, Proia P, Di Liegro I. Oligodendroglioma cells synthesize the differentiation-specific linker histone H1° and release it into the extracellular environment through shed vesicles. Int J Oncol. 2013;43(6):1771–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  176. 176.

    Putz U, Howitt J, Doan A, Goh C-P, Low L-H, Silke J, Tan S-S. The tumor suppressor PTEN is exported in exosomes and has phosphatase activity in recipient cells. Sci Signal. 2012;5(243):ra70.

    PubMed  Google Scholar 

  177. 177.

    Nolan JP. Flow cytometry of extracellular vesicles: potential, pitfalls, and prospects. Curr Protoc Cytom. 2015;73(1):13.14. 11–6.

    Google Scholar 

  178. 178.

    Arraud N, Linares R, Tan S, Gounou C, Pasquet JM, Mornet S, Brisson AR. Extracellular vesicles from blood plasma: determination of their morphology, size, phenotype and concentration. J Thromb Haemost. 2014;12(5):614–27.

    CAS  PubMed  Google Scholar 

  179. 179.

    Melo SA, Luecke LB, Kahlert C, Fernandez AF, Gammon ST, Kaye J, LeBleu VS, Mittendorf EA, Weitz J, Rahbari N. Glypican-1 identifies cancer exosomes and detects early pancreatic cancer. Nature. 2015;523(7559):177–82.

    CAS  PubMed  PubMed Central  Google Scholar 

  180. 180.

    Li W, Li C, Zhou T, Liu X, Liu X, Li X, Chen D. Role of exosomal proteins in cancer diagnosis. Mol Cancer. 2017;16(1):145.

    PubMed  PubMed Central  Google Scholar 

  181. 181.

    Samatov TR, Wicklein D, Tonevitsky AG. L1CAM: Cell adhesion and more. Prog Histochem Cytochem. 2016;51(2):25–32.

    PubMed  Google Scholar 

  182. 182.

    Haspel J, Grumet M. The L1CAM extracellular region: a multi-domain protein with modular and cooperative binding modes. Front Biosci. 2003;8:s1210–25.

    CAS  PubMed  Google Scholar 

  183. 183.

    Kiefel H, Bondong S, Erbe-Hoffmann N, Hazin J, Riedle S, Wolf J, Pfeifer M, Arlt A, Schäfer H, Müerköster SS. L1CAM–integrin interaction induces constitutive NF-κB activation in pancreatic adenocarcinoma cells by enhancing IL-1β expression. Oncogene. 2010;29(34):4766–78.

    CAS  PubMed  Google Scholar 

  184. 184.

    Kiefel H, Bondong S, Hazin J, Ridinger J, Schirmer U, Riedle S, Altevogt P. L1CAM: a major driver for tumor cell invasion and motility. Cell Adh Migr. 2012;6(4):374–84.

    PubMed  PubMed Central  Google Scholar 

  185. 185.

    Altevogt P, Doberstein K, Fogel M. L1CAM in human cancer. Int J Cancer. 2016;138(7):1565–76.

    CAS  PubMed  Google Scholar 

  186. 186.

    Anderson HJ, Galileo DS. Small-molecule inhibitors of FGFR, integrins and FAK selectively decrease L1CAM-stimulated glioblastoma cell motility and proliferation. Cell Oncol. 2016;39(3):229–42.

    CAS  Google Scholar 

  187. 187.

    Liu H, Song Z, Liao D, Zhang T, Liu F, Zheng W, Luo K. Yang L: miR-503 inhibits cell proliferation and invasion in glioma by targeting L1CAM. Int J Clin Exp Med. 2015;8(10):18441.

    CAS  PubMed  PubMed Central  Google Scholar 

  188. 188.

    Cheng L, Wu Q, Guryanova OA, Huang Z, Huang Q, Rich JN, Bao S. Elevated invasive potential of glioblastoma stem cells. Biochem Biophys Res Commun. 2011;406(4):643–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  189. 189.

    Mohanan V, Temburni MK, Kappes JC, Galileo DS. L1CAM stimulates glioma cell motility and proliferation through the fibroblast growth factor receptor. Clin Exp Metastasis. 2013;30(4):507–20.

    CAS  PubMed  Google Scholar 

  190. 190.

    Raveh S, Gavert N, Ben-Ze’ev A. L1 cell adhesion molecule (L1CAM) in invasive tumors. Cancer Lett. 2009;282(2):137–45.

    CAS  PubMed  Google Scholar 

  191. 191.

    E-g C. Chen Y, Dong L-l, Zhang J-s: Effects of SASH1 on lung cancer cell proliferation, apoptosis, and invasion in vitro. Tumor Biol. 2012;33(5):1393–401.

    Google Scholar 

  192. 192.

    Zhou N, Liu C, Wang X, Mao Q, Jin Q, Li P. Downregulated SASH1 expression indicates poor clinical prognosis in gastric cancer. Hum Pathol. 2018;74:83–91.

    CAS  PubMed  Google Scholar 

  193. 193.

    Nitsche U, Rosenberg R, Balmert A, Schuster T, Slotta-Huspenina J, Herrmann P, Bader FG, Friess H, Schlag PM, Stein U. Integrative marker analysis allows risk assessment for metastasis in stage II colon cancer. Ann Surg. 2012;256(5):763–71.

    PubMed  Google Scholar 

  194. 194.

    Rimkus C, Martini M, Friederichs J, Rosenberg R, Doll D, Siewert J, Holzmann B, Janssen K. Prognostic significance of downregulated expression of the candidate tumour suppressor gene SASH1 in colon cancer. Br J Cancer. 2006;95(10):1419–23.

    CAS  PubMed  PubMed Central  Google Scholar 

  195. 195.

    Xie J, Zhang W, Zhang J, Lv Q, Luan Y. Downregulation of SASH1 correlates with poor prognosis in cervical cancer. Eur Rev Med Pharmacol Sci. 2017;21:3781–6.

    CAS  PubMed  Google Scholar 

  196. 196.

    Ren X, Liu Y, Tao Y, Zhu G, Pei M, Zhang J, Liu J. Downregulation of SASH1 correlates with tumor progression and poor prognosis in ovarian carcinoma. Oncol Lett. 2016;11(5):3123–30.

    CAS  PubMed  PubMed Central  Google Scholar 

  197. 197.

    Sun D, Zhou R, Liu H, Sun W, Dong A, Zhang H. SASH1 inhibits proliferation and invasion of thyroid cancer cells through PI3K/Akt signaling pathway. Int J Clin Exp Pathol. 2015;8(10):12276.

    CAS  PubMed  PubMed Central  Google Scholar 

  198. 198.

    Yang L, Zhang H, Yao Q, Yan Y, Wu R, Liu M. Clinical significance of SASH1 expression in glioma. Dis Markers. 2015;2015:383046.

  199. 199.

    Yang L, Liu M, Gu Z, Chen J, Yan Y, Li J. Overexpression of SASH1 related to the decreased invasion ability of human glioma U251 cells. Tumor Biol. 2012;33(6):2255–63.

    CAS  Google Scholar 

  200. 200.

    Wu R, Yan Y, Ma C, Chen H, Dong Z, Wang Y, Liu Y, Liu M, Yang L. HMGB1 contributes to SASH1 methylation to attenuate astrocyte adhesion. Cell Death Dis. 2019;10(6):1–12.

    Google Scholar 

  201. 201.

    Ma C, Chen H, Zhang S, Yan Y, Wu R, Wang Y, Liu Y, Yang L, Liu M. Exosomal and extracellular HMGB1 have opposite effects on SASH1 expression in rat astrocytes and glioma C6 cells. Biochem Biophys Res Commun. 2019;518(2):325–30.

    CAS  PubMed  Google Scholar 

  202. 202.

    Schoch HJ, Fischer S, Marti HH. Hypoxia-induced vascular endothelial growth factor expression causes vascular leakage in the brain. Brain. 2002;125(Pt 11):2549–57.

    PubMed  Google Scholar 

  203. 203.

    Chow BW, Gu C. The molecular constituents of the blood-brain barrier. Trend Neurosci. 2015;38(10):598–608.

    CAS  PubMed  Google Scholar 

  204. 204.

    Wolburg H, Noell S, Fallier-Becker P, Mack AF, Wolburg-Buchholz K. The disturbed blood-brain barrier in human glioblastoma. Mol Aspects Med. 2012;33(5–6):579–89.

    CAS  PubMed  Google Scholar 

  205. 205.

    Skog J, Wurdinger T, van Rijn S, Meijer DH, Gainche L, Sena-Esteves M, Curry WT Jr, Carter BS, Krichevsky AM, Breakefield XO. Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat Cell Biol. 2008;10(12):1470–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  206. 206.

    Tammela T, Enholm B, Alitalo K, Paavonen K. The biology of vascular endothelial growth factors. Cardiovasc Res. 2005;65(3):550–63.

    CAS  PubMed  Google Scholar 

  207. 207.

    Iwaki T, Kume-Iwaki A, Goldman JE. Cellular distribution of alpha B-crystallin in non-lenticular tissues. J Histochem Cytochem. 1990;38(1):31–9.

    CAS  PubMed  Google Scholar 

  208. 208.

    Goplen D, Bougnaud S, Rajcevic U, Bøe SO, Skaftnesmo KO, Voges J, Enger PØ, Wang J, Tysnes BB, Laerum OD. αB-crystallin is elevated in highly infiltrative apoptosis-resistant glioblastoma cells. Am J Pathol. 2010;177(4):1618–28.

    CAS  PubMed  PubMed Central  Google Scholar 

  209. 209.

    Stegh AH, Kesari S, Mahoney JE, Jenq HT, Forloney KL, Protopopov A, Louis DN, Chin L, DePinho RA. Bcl2L12-mediated inhibition of effector caspase-3 and caspase-7 via distinct mechanisms in glioblastoma. Proc Nat Acad Sci. 2008;105(31):10703–8.

    CAS  PubMed  Google Scholar 

  210. 210.

    Kamradt MC, Chen F, Sam S, Cryns VL. The small heat shock protein αB-crystallin negatively regulates apoptosis during myogenic differentiation by inhibiting caspase-3 activation. J Biol Chem. 2002;277(41):38731–6.

    CAS  PubMed  Google Scholar 

  211. 211.

    Çelet B, Akman-Demir G, Serdaroğlu P, Yentür SP, Taşcı B, van Noort JM, Eraksoy M, Saruhan-Direskeneli G. Anti-αB-crystallin immunoreactivity in inflammatory nervous system diseases. J Neurol. 2000;247(12):935–9.

    PubMed  Google Scholar 

  212. 212.

    Iwaki T, Wisniewski T, Iwaki A, Corbin E, Tomokane N, Tateishi J, Goldman JE. Accumulation of alpha B-crystallin in central nervous system glia and neurons in pathologic conditions. Am J Pathol. 1992;140(2):345.

    CAS  PubMed  PubMed Central  Google Scholar 

  213. 213.

    Sreekumar PG, Kannan R, Kitamura M, Spee C, Barron E, Ryan SJ, Hinton DR. αB crystallin is apically secreted within exosomes by polarized human retinal pigment epithelium and provides neuroprotection to adjacent cells. PLoS One. 2010;5(10):e12578.

  214. 214.

    Steiner-Champliaud M-F, Sahel J, Hicks D. Retinoschisin forms a multi-molecular complex with extracellular matrix and cytoplasmic proteins: interactions with beta2 laminin and alphaB-crystallin. Mol Vis. 2006;12(99–101):892–901.

    CAS  PubMed  Google Scholar 

  215. 215.

    Chou YK, Burrows GG, LaTocha D, Wang C, Subramanian S, Bourdette DN, Vandenbark AA. CD4 T-cell epitopes of human α B-crystallin. J Neurosci Res. 2004;75(4):516–23.

    CAS  PubMed  Google Scholar 

  216. 216.

    Bajramovic JJ, Plomp AC, Avd G, Koevoets C, Newcombe J, Cuzner ML, JMv N. CLINICAL IMMUNOLOGY-Presentation of aB-Crystallin to T Cells in Active Multiple Sclerosis Lesions: An Early Event Following Inflammatory Demyelination. J Immunol. 2000;164(8):4359–66.

    CAS  PubMed  Google Scholar 

  217. 217.

    Fitzner D, Schnaars M, van Rossum D, Krishnamoorthy G, Dibaj P, Bakhti M, Regen T, Hanisch U-K, Simons M. Selective transfer of exosomes from oligodendrocytes to microglia by macropinocytosis. J Cell Sci. 2011;124(3):447–58.

    CAS  PubMed  Google Scholar 

  218. 218.

    Gangalum RK, Atanasov IC, Zhou ZH, Bhat SP. αB-crystallin is found in detergent-resistant membrane microdomains and is secreted via exosomes from human retinal pigment epithelial cells. J Biol Chem. 2011;286(5):3261–9.

    CAS  PubMed  Google Scholar 

  219. 219.

    Gonzales P, Ma G, Pisitkun T, Ruttenburg B, Knepper M. Urinary Exosome Protein Database. NHLBI Laboratory of Kidney and Electrolyte Metabolism; 2009.

    Google Scholar 

  220. 220.

    Ecroyd H, Meehan S, Horwitz J, Aquilina JA, Benesch JL, Robinson CV, Macphee CE, Carver JA. Mimicking phosphorylation of αB-crystallin affects its chaperone activity. Biochem J. 2007;401(1):129–41.

    CAS  PubMed  Google Scholar 

  221. 221.

    Aquilina JA, Benesch JL, Ding LL, Yaron O, Horwitz J, Robinson CV. Phosphorylation of αB-crystallin alters chaperone function through loss of dimeric substructure. J Biol Chem. 2004;279(27):28675–80.

    CAS  PubMed  Google Scholar 

  222. 222.

    Ito H, Kamei K, Iwamoto I, Inaguma Y, Nohara D, Kato K. Phosphorylation-induced change of the oligomerization state of αB-crystallin. J Biol Chem. 2001;276(7):5346–52.

    CAS  PubMed  Google Scholar 

  223. 223.

    Jehle S, Rajagopal P, Bardiaux B, Markovic S, Kühne R, Stout JR, Higman VA, Klevit RE, van Rossum B-J, Oschkinat H. Solid-state NMR and SAXS studies provide a structural basis for the activation of αB-crystallin oligomers. Nat Struct Mol Biol. 2010;17(9):1037.

    CAS  PubMed  PubMed Central  Google Scholar 

  224. 224.

    Bendtsen JD, Jensen LJ, Blom N, Von Heijne G, Brunak S. Feature-based prediction of non-classical and leaderless protein secretion. Protein Eng Des Sel. 2004;17(4):349–56.

    CAS  PubMed  Google Scholar 

  225. 225.

    Petersen TN, Brunak S, Von Heijne G, Nielsen H. SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat Method. 2011;8(10):785.

    CAS  Google Scholar 

  226. 226.

    Kore RA, Abraham EC. Phosphorylation negatively regulates exosome mediated secretion of cryAB in glioma cells. Biochimica et Biophysica Acta. 2016;1863(2):368–77.

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

MRH was supported by US NIH Grants R01AI050875 and R21AI121700.

Author information

Affiliations

Authors

Contributions

HM and MRH contributed in conception, design, statistical analysis and drafting of the manuscript. ABGH, ASH, SPT, AM, MMT and KM contributed in data collection and manuscript drafting. All authors approved the final version for submission.

Corresponding authors

Correspondence to Hamed Mirzaei or Michael R. Hamblin.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

MRH declares the following potential conflicts of interest. Scientific Advisory Boards: Transdermal Cap Inc., Cleveland, OH; BeWell Global Inc., Wan Chai, Hong Kong; Hologenix Inc. Santa Monica, CA; LumiThera Inc., Poulsbo, WA; Vielight, Toronto, Canada; Bright Photomedicine, Sao Paulo, Brazil; Quantum Dynamics LLC, Cambridge, MA; Global Photon Inc., Bee Cave, TX; Medical Coherence, Boston MA; NeuroThera, Newark DE; JOOVV Inc., Minneapolis-St. Paul MN; AIRx Medical, Pleasanton CA; FIR Industries, Inc. Ramsey, NJ; UVLRx Therapeutics, Oldsmar, FL; Ultralux UV Inc., Lansing MI; Illumiheal & Petthera, Shoreline, WA; MB Lasertherapy, Houston, TX; ARRC LED, San Clemente, CA; Varuna Biomedical Corp. Incline Village, NV; Niraxx Light Therapeutics, Inc., Boston, MA. Consulting; Lexington Int, Boca Raton, FL; USHIO Corp, Japan; Merck KGaA, Darmstadt, Germany; Philips Electronics Nederland B.V. Eindhoven, Netherlands; Johnson & Johnson Inc., Philadelphia, PA; Sanofi-Aventis Deutschland GmbH, Frankfurt am Main, Germany. Stockholdings: Global Photon Inc., Bee Cave, TX; Mitonix, Newark, DE. Other author declare that there is no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ghaemmaghami, A.B., Mahjoubin-Tehran, M., Movahedpour, A. et al. Role of exosomes in malignant glioma: microRNAs and proteins in pathogenesis and diagnosis. Cell Commun Signal 18, 120 (2020). https://doi.org/10.1186/s12964-020-00623-9

Download citation

Keywords

  • Gliomas
  • Exosomes
  • MicroRNAs
  • Proteins
  • pathogenesis
  • Therapy
  • Biomarkers