Proteomic analysis of extracellular vesicles from medullospheres reveals a role for iron in the cancer progression of medulloblastoma
© Bisaro et al. 2015
Received: 2 July 2015
Accepted: 6 October 2015
Published: 13 October 2015
Medulloblastoma (MB) is the most common malignant childhood brain tumor with the propensity to disseminate at an early stage, and is associated with high morbidity. New treatment strategies are needed to improve cure rates and to reduce life-long cognitive and functional deficits associated with current therapies. Extracellular Vesicles (EVs) are important players in cell-to-cell communication in health and diseases. A clearer understanding of cell-to-cell communication in tumors can be achieved by studying EV secretion in medullospheres. This can reveal subtle modifications induced by the passage from adherent to non-adherent growth, as spheres may account for the adaptation of tumor cells to the mutated environment.
Formation of medullospheres from MB cell lines stabilized in adherent conditions was obtained through culture conditioning based on low attachment flasks and specialized medium. EVs collected by ultracentrifugation, in adherent conditions and as spheres, were subjected to electron microscopy, NanoSight measurements and proteomics.
Interestingly, iron carrier proteins were only found in EVs shed by CSC-enriched tumor cell population of spheres. We used iron chelators when culturing MB cell lines as spheres. Iron chelators induced a decrease in number/size of spheres and in stem cell populations able to initiate in vitro spheres formation.
This work suggests a not yet identified role of iron metabolism in MB progression and invasion and opens the possibility to use chelators as adjuvants in anti-tumoral chemotherapy.
Medulloblastoma (MB) is the most common malignant childhood brain tumor with a propensity to disseminate at an early stage . Although multimodal treatments have improved survival rates for patients with MB , these tumors are associated with high morbidity . In addition to the histological classification, an international consensus paper endorsed and refined a molecular classification into four groups based on meta-analysis of expression profiling . This new stratification tool has not yet produced any clinical results in terms of new treatment strategies or improving the quality of life of survivors. The current standard of care for patients with MB involves surgery followed by craniospinal irradiation and chemotherapy. In infants and young children, radiation therapy is rarely used because of the risk of long-term neurocognitive deficits. Therefore, new treatment strategies are urgently needed to improve cure rates, to decrease neurotoxicity, and to reduce life-long cognitive and functional deficits associated with current therapies.
Recently, a role for Cancer Stem Cells (CSC) (also referred to as brain tumor-initiating cells)  in MB was proposed, which is a tumor with relevant molecular heterogeneity. We have previously described medullospheres (MBS) , obtained with a serum-free medium (enabling the formation and growth of spheres), in order to study CSC in vitro.
Furthermore, over the past decade, a new mode of intercellular communication has been described, namely the release of membrane vesicles known as Extracellular Vesicles (EVs)/Microvesicles/Exosomes . EVs have been implicated in several physiological and pathophysiological processes, including tumor growth and progression . There has been only one study reporting the role of EVs in MB , but relevant signaling molecules activated in MB have been studied in tumors of different histotypes [10–12]. Therefore, the study of EVs from MB cell lines enriched in Cancer Stem Cells is a promising approach aimed at gaining a greater insight into tumor cell adaptive modifications to the microenvironment, both in vitro and in vivo, and at finding new diagnostic tools and treatment strategies .
In the present study we identified, through a proteomic approach [13, 14], a set of proteins carried by EVs originating from MB cell lines cultured both in standard conditions of adhesion (MB) and as spheres (MBS). Interestingly, iron carrier proteins were only identified in EVs shed by CSC-enriched tumor cell populations. Iron depletion causes cell arrest between G1/S phases and leads to inhibition of cell proliferation and apoptosis suggesting that the use of iron chelators could be a novel approach in cancer treatment . In fact, although iron chelation has been shown to protect against disease progression and/or limit iron accumulation in some rare neurological disorders and hemoglobinopathies , the role of iron in the progression of MB remains poorly understood. The use of iron chelators in our MBS culture resulted in a decrease in the number/size of spheres and caused a decrease in stem cell populations able to initiate the formation of in vitro spheres. In conclusion, this work clearly implicates iron metabolism in MB progression and invasion.
Cell culture, reagents and antibodies
DAOY cell line was purchased from ATCC (U.K.), UW228 and ONS-76 cell lines were kindly provided by Dr. Charles G. Eberhart (John Hopkins University, Baltimore, MD) with the agreement of Dr. Mike Bobola (University of Washington, Seattle, WA). MB cell lines DAOY, UW228 and ONS-76 were cultured at 37 °C, in 5 % CO2 as previously described . Briefly, DAOY was cultured in MEM/EBSS supplemented with 10 % FBS, UW228 in DMEM/F12 10 % FBS and ONS-76 in RPMI supplemented with 10 % FBS.
Iron chelators: deferoxamine (DFO), 2-pyridylketone 4,4-dimethyl-3-thiosemicarbazone (Dp44mT) and Iron introduced through Ferric ammonium citrate (FAC) in cellular culture were purchased from Sigma-Aldrich (Milan, Italy). DFO, Dp44mT, and FAC were used at concentrations ranging from 5 to 100 μM, 0.1 to 5 μM, and 50 to 200 μM, respectively.
The stemness profile of the MBS were characterized by immunofluorescence staining: MBS were previously grown in low adherent conditions in order to allow sphere formation, and spheres were then stained with antibodies against β catenin (Cell Signaling Technology, Inc., Danvers, MA, USA) and SOX-2, FITC or PE secondary antibodies were purchased from Abcam (Cambridge, UK).
Tumor sphere generation assay
In order to produce medullospheres (MBS) from DAOY, UW228 and ONS-76, cells were grown at confluence in adherent conditions, trypsinized, pelleted and plated (6 × 104/ml) in ultra-low attachment T25 Flasks (Corning Inc., NY, USA) for a further 7 days in serum-free EUROMED CSC (EUROCLONE Spa, Pero, MI, Italy) medium. Culture conditioning based on low attachment flasks, specialized medium and formation of spheres enabled the expansion of the CSC population. Suspensions of spheres from all cell lines were collected and counted in 96-well plates by inverted microscopy (Olympus CKX41).
Clonal sphere formation assay
Colony-forming efficiency and self-renewal ability were tested by limiting dilution.
DAOY, UW228 and ONS-76 adherent cells were grown and dissociated as described above and a single cell per well was plated in 150 μl of growth medium in a low adhesion 96-well culture plate. A volume of 25 μl of medium per well was added every 5 days. The number of clonal tumor spheres for each 96-well culture plate was evaluated after 14 days of culture.
Isolation and analysis of EVs
EVs were obtained both from supernatants of MB adherent cell lines and from MBS cultured overnight in FBS-devoid medium. To obtain EVs, after centrifugation at 10,000 g for 20 min to remove debris, cell-free supernatants were centrifuged at 100,000 g (Beckman Coulter Optima L-90 K ultracentrifuge) for 1 h at 4 °C, washed in PBS and subjected to a second ultracentrifugation under the same conditions. EV pellets were then resuspended in 50 μL PBS or in RIPA lysis buffer. The protein content of EVs was quantified by the Bradford method (BioRad, Hercules, CA, USA). The presence and purity of EVs were verified by western blot analysis using antibodies against HSP70 and HSP90 from Abcam (Cambridge, UK), and CD63 purchased from Santa Cruz Biotechnology, Inc (Dallas, Texas, USA), which are specific markers of EVs . Moreover, analysis of the size distribution of EVs was performed using NanoSight NS300 with a 488 blue laser (NanoSight Ltd, Minton Park UK). Through the laser light source the particles in the sample are illuminated and the scattered light is captured by the camera and displayed on the connected computer running Nanoparticle Tracking Analysis (NTA). Using NTA, the particles are automatically tracked and sized based on Brownian motion and the diffusion coefficient (Dt). Results are displayed as a frequency size distribution graph and output to a spreadsheet.
Transmission electron microscopy
EVs isolated after 100,000 g ultracentrifugation were resuspended in 50 μl PBS and a drop of 8 μl of resulting suspension was adhered to a Cu-Rh formvar-coated 200 mesh grid for 2 min. Absorbing paper was gently used to remove any excess of the suspension, by holding it close to the side of the grid, without making contact with the coated area. EVs were immediately fixed with 2.5 % glutaraldehyde in PBS for 1 min and rinsed with several drops of distilled water on the grid. EVs were then positively stained with 1 % uranyl acetate for 1 min. Subsequent observations were carried out by a ZEISS EM 109 Transmission Electron Microscope at 80 kV.
EVs from adherent DAOY, UW228 and ONS-76 cells and spheres were separated by SDS-PAGE on 4to 20 % Tris-Glycine Gels (Thermo Scientific) in triplicate; entire lanes of 1-DE gels were then cut out for mass spectrometry analysis.
MS analysis and database searches were performed as previously described . Briefly, gel slices from Coomassie-stained gels were excised, and protein digestion was carried out with trypsin. MS analysis of peptides was performed using a MALDI-TOF spectrometer (MALDI micro MX; Waters, Milford, MA, USA) operating on reflectron mode. Samples were loaded onto the MALDI target using 1.5 μl of the tryptic digest mixed in a 1:1 ratio with a solution of α-cyanohydroxycinnamic acid (10 mg/ml) in 40 % v⁄v acetonitrile, 60 % v⁄v trifluoroacetic acid 0.1 %. Peak lists were generated by ProteinLynx (Waters, Milford, MA, USA) and data preparation was carried out using the following parameters: external calibration with lock mass using a mass of 2465.1989 Da for ACTH (adrenocorticotropic hormone), background subtract type adaptive combining all scans, and de-isotoping with a threshold of 1 %. The 25 most intense masses were used for database searches against the SWISSPROT database using the free search program MASCOT (http://www.matrixscience.com); the search settings allowed one missed cleavage with the trypsin enzyme selected, oxidation of methionine as a potential variable modification, a peptide tolerance of 100 ppm, taxon human. Hemopexin used in western blot analysis was a gift from E. Tolosano .
Protein samples were extracted by RIPA (1 M Tris, 5 M NaCl, 1 % Triton, 1 % Na-deoxycolate, 1 % SDS) and separated on 4 to 20 % Tris-Glycine Gels. Western-blot analysis of adherent cells, MBS and EVs was performed as previously described , using the following antibodies against CD63, HSP90, HSP70, and Actin. Actin was purchased from Santa Cruz Biotechnology, and HPR mouse secondary antibodies from Cell Signaling Technology, Inc (Danvers, MA, USA).
The results are representative of at least three independent experiments performed in triplicate and are expressed as the means ± SEM. Statistical analysis of the data was performed using the Student’s t test.
Proteins experimentally identified in both adherent cells and spheres were evaluated by means of a web platform tool known as ProteinQuest (PQ, BioDigitalValley srl, Pont-Saint-Martin, AO, Italy). PQ automatically retrieved all relevant biological information from PubMed abstracts and captions from free full text articles, US patents and Clinical Trials.
The PQ database contains documents already tagged with biomedical dictionaries and ontologies such as proteins, drugs, cells, miRNAs, diseases, bioprocesses, clinical and biological techniques, etc. Each assignment of terms takes into account all the corresponding aliases, for disambiguation.
The biological relationships between identified terms and their translation into a relevant result can be explored by analyzing the co-occurrences for pairs of terms. The web application automatically generates graphs. In this study, the protein networks were generated by selecting the proteins that are differentially expressed in the experiments described above, already associated in the same papers (abstracts or captions). Networks connecting all of these proteins from the literature were visualized using Cytoscape , a popular software platform for network analysis, and further characterized by Bingo plugins  for Gene Ontology Analysis.
Isolation of EVs and morphological characterization
EVs were then analyzed by means of nanoparticle tracking analysis (NTA) using the NanoSight instrument (Fig. 1d) in order to visualize the size distribution of EVs. As shown in Fig. 1d, NanoSight analysis indicated that purified EVs had a diameter comprised between 50 to 120 nm and that the majority of particles displayed a 105 nm diameter, confirming the presence of exosomes. Finally, western blot analysis also confirmed the presence of EVs in exosome-form in the pellet obtained by the ultracentrifugation procedure, demonstrated by the positivity of the EV lysate for CD63 and HSP90, which are specific markers of exosomes (Fig. 1e).
Identification of proteins carried by EVs
Maldi-Tof proteomic identification
Actin, cytoplasmic 2
78 kDa glucose-regulated protein
Actin, cytoplasmic 1
Tubulin-specific chaperone E
60 kDa heat shock protein, mitochondrial
Inhibin beta A chain
Stromal interaction molecule 1
FERM domain-containing protein 6
NAD-dependent protein deacetylase sirtuin-6
EGF-like repeat and discoidin I-like domain-containing protein 3
Angiopoietin-related protein 2
Hemoglobin subunit beta
Heat shock protein HSP 90-beta
Zinc finger protein 552
Kinesin-like protein KIF16B
Tubulointerstitial nephritis antigen-like
Splicing factor 45
Tumor protein D53
Heat shock protein HSP 90-alpha
Coiled-coil-helix-coiled-coil-helix domain-containing protein 5
Putative beta-actin-like protein 3
T-complex protein 1 subunit theta
AT-rich interactive domain-containing protein 5B
BTB/POZ domain-containing adapter for CUL3-mediated RhoA degradation protein 2
Gene ontology analysis of the EVs protein network
Description of bioprocess
positive regulation of nitric oxide biosynthetic process
heme metabolic process
IN H BA|HPX
chaperone-mediated protein complex assembly
negative regulation of apoptosis
TF| HSPD11 HSPA51ANXA51ANGPTL2
iron ion homeostasis
positive regulation of angiogenesis
Description of molecular functions
unfolded protein binding
nitric-oxide synthase regulator activity
cell surface binding
phospholipase inhibitor activity
To further understand the role of these proteins, the molecular functions were also evaluated. In this way, the role of how these proteins exert cell-to-cell communications was defined: chaperone binding (p = 10−5), nitric-oxide synthase regulator activity (p = 10−5), cell surface binding (p = 10−5), and phospholipase inhibitor activity (p = 10−4) (Table 2).
Interestingly, iron carrier proteins (Hemopexin and Serotransferrin) were only identified in EVs shed by the CSC-enriched tumor cell population of all three MB cell lines analyzed. Therefore, to verify the robustness of the proteomic identifications, western blotting analysis was performed on EVs purified from MB and MBS. We confirmed that Hemopexin was highly expressed in DAOY, UW228, and ONS76 EVs originating from medullospheres compared to EVs coming from MB (Fig. 2c). Hemopexin was also expressed in MB cells and MBS which gave rise to EVs but at a very low level (data not shown), indicating a clear enrichment in the Hemopexin iron carrier protein in EVs from CSC. Therefore, on the basis of the proteomic results obtained in the EVs shed by MBS, we decided to investigate the influence of iron chelators on the formation of MB spheres.
Role of iron in cancer progression
We used two distinct classes of iron chelators. The first was deferoxamine (DFO), a well-known iron chelator, widely used clinically for the treatment of iron overload in hemoglobinopathies, but impermeable to the cellular membrane. The second iron chelator was Dp44mT, a new compound able to pass through the cellular membrane. As a positive control we also added iron in the form of ferric ammonium citrate (FAC) to the culture medium of the spheres.
A great deal of interest has been focused on exosomes and microvescicles from mesenchymal stem cells  and tumor cells as important means of intercellular communication . Depending on the type of cells of origin and microenvironment investigated, EVs have been demonstrated to influence several different aspects of regulation, ranging from inflammation and repair to immunity, invasion and metastasis. To date, no completely unique protein marker for exosomes has been identified in order to verify that the sample of EVs contained purified exosomes and no cellular debris. As a result, a combination of methods was required to characterize the EVs, including determination of size and morphology of the EVs by electron microscopy, NanoSight analysis and western blotting [23–26]. In addition, the purity of the sample can be determined by electron microscopy, and this method can provide an overview of the level of contamination of the sample; for example, with larger vesicles, such as microparticles, apoptotic bodies or cell debris could be present in the cell cultures, indicating poor condition. When isolating EVs by ultracentrifugation, smaller vesicles (<50 nm), not displaying the cup-shaped morphology, can sometimes be present which significance is to be deepened. NanoSight analysis gave indications of EV size distribution and concentrations. NanoSight could indicate the diameter dimension of the majority of EVs (predominant peak proportional to concentration) and could also indicate the presence or absence of aggregates (peaks exceeding 200 nm). Finally, it was useful to perform a molecular analysis of protein markers known to be expressed by exosomes through western blotting analysis, showing the presence of specific markers such as CD63 and HSP90. The combination of these three analytic methods can demonstrate the presence of exosomes in the purified preparation of EVs.
The increasing interest in exosomes and microvesicles in organic fluids and exhausted culture media of different cell lines has opened new scenarios, and the role of EVs as intercellular messengers has been widely investigated in different physiological and pathological states. In parallel, great efforts have been directed towards finding new methods for early diagnosis of malignant tumors of infancy and childhood, as well as to find innovative and more effective therapeutic tools and strategies. EVs may also reflect metabolic conditions of tumor cells in culture and in Cancer Stem Cells. EVs shed by tumors have been investigated as important factors as they act on the tumor microenvironment and have been designated TEX (Tumor-associated Exosomes) recognizing their role in the modification of tumor-associated stroma from an inflammatory phenotype towards a reparative one . The most specific bioprocesses characterized in EV proteins revealed that, in MB tumors, EV communication sustains stemness, survival and proliferation. As culture in suspension, or rather spheres, in our case “medullospheres”, induced an enrichment of Cancer Stem Cells, the modification of the protein repertoire found in EVs purified from medullospheres could most likely reflect an increased stemness compared to the same cells grown in adherence. The presence of medulloblastoma exosomes from cell lines D283MED, DAOY, and UW228, has been previously described .
Comparing our proteomic analysis with previous proteomic works on medulloblastoma  and brain tumor  exosomes, many proteins are shared, as expected: ACTB, G3P, GRP78, ANXA2, TRFE, CH60, HBB, HSP90. Other identified proteins are not exactly the same, but belong to the same functional class: TBCE (tubulin polymerization-promoting protein family member 2), ZN552 (other zinc finger proteins), KI16B (kinesin family member 16B), H4 (other histone proteins), CH60. The presence of proteins related to iron metabolism, namely Hemopexin, a Heme-binding protein with cytoprotective activity from free heme toxicity, and serum transferrin was an unexpected finding limited to EVs from medullospheres . These proteins are iron carrier proteins, suggesting a possible implication of iron and heme metabolic processes, namely iron ion homeostasis (p = 10−3) and heme-related metabolic processes (p = 10−5) in MB progression and invasion (Table 2). The importance of iron for cells is related to the key role of Fe-containing proteins involved in oxygen sensing, energy, metabolism, respiration, folate metabolism and DNA synthesis (RR = ribonucleotide reductase). Without iron, G1 – S progression is hampered for normal and tumoral cells .
Iron has been recently described as an essential element in tumor cell proliferation, supporting energy and structural requirements of neoplastic cells. The role of iron in tumors has been intensively studied in all phases of tumorigenesis, and a specific influence of iron on tumor cell growth and tumor progression has been revealed in many human cancers [30, 31]. Most studies on iron and cancer were performed on epithelial or hematopoietic tumors and in vivo experiments; a further difficulty is to distinguish between the lowered iron concentration in tissues and organs and the direct effect of chelation on tumor cells. Although DFO and Dp44mT bind trivalent Fe, they have different actions. DFO is a hexadentate chelator of Fe3+ with high affinity, forming a 1:1 complex with iron and limited cell membrane permeability. Dp44mT forms a complex with ferric iron in a 2:1 ratio, with easy access into the cells. Furthermore, Dp44mT forms redox-active iron and copper complexes inside the cell, inducing the generation of ROS and relevant cytotoxicity via a Fenton type chemical reaction (Fe2+ H2O2 -- reactive intermediates – Fe 3+ + .OH + OH−) .
In vivo studies have demonstrated that Dp44mT and related molecules do not lower iron concentration in tissues and biological fluids in the same way that DFO does. These data are in line with a prominent intracellular accessibility of Dp44mT compared to Deferoxamine.
An interesting interpretation of the results may be the fact that, although the main target of the compounds is iron chelation, other ions (such as Cu, as well as non-metallic ions) are bound by chelators.
In fact new iron chelators, such as Dp44mT, show anti-tumoral activity unrelated to iron deprivation but which interfere with relevant metabolic pathways .
More than half of human cancers express multidrug-resistant P-glycoprotein (Pgp) and Pgp-dependent lysosomal damage and cytotoxicity has been demonstrated for Dp44mT and related to Copper chelation. Several other pathways, in different tumors, are targeted by these new chelators, and the related anti-tumoral activity does not involve Fe sequestration as a primary cause.
Our results obtained on iron chelation demonstrated that only the permeable iron chelator Dp44mT is able to decrease sphere formation and stemness ability, highlighting a crucial role of intracellular iron in supporting tumor progression by EV communication. Moreover, the co-presence of iron and Dp44mT in medullospheres restored the number of spheres and cancer stem cells control levels, emphasizing the role of iron in cancer stem cell formation and enrichment.
In conclusion, our findings on MB cell lines modulating iron-related proteins in different growth conditions are of interest and create possible scenarios linking iron metabolism to hypoxia, and could be potentially related to increased cell proliferation, tumor aggressivity and stemness. The influence of iron on the cellular division rate has been studied in different tumors and has opened the possibility to use chelators as adjuvants in antitumoral chemotherapy.
We would like to thank Dr. Emanuela Tolosano for kindly providing the Hemopexin antibody and Dr. Annalisa Camporeale for technical support and critical suggestions. Dr. Brigitte Bisaro received a 1-year fellowship for research on exosomes from Fondazione CRT Progetto Lagrange, Torino, Italy.
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- Giangaspero F, Eberhart CG, Haapsalo H, Pietsch T, Wiestler OD, Ellison DW. Medulloblastoma. In: Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, editors. WHO classification of tumours of the central nervous system. Lyon: IARC; 2007. p. 132–40.Google Scholar
- MacDonald TJ, Aguilera D, Castellino RC. The rationale for targeted therapies in medulloblastoma. Neuro Oncol. 2014;16:9–20.PubMed CentralView ArticlePubMedGoogle Scholar
- Kennedy C, Bull K, Chevignard M, Culliford D, Dörr HG, Doz F, et al. PNET4 study group of the Brain Tumour Group of The European branch of the International Society of Paediatric Oncology (SIOP-E). Quality of survival and growth in children and young adults in the PNET4 European controlled trial of hyperfractionated versus conventional radiation therapy for standard-risk medulloblastoma. Int J Radiat Oncol Biol Phys. 2014;88:292–300.View ArticlePubMedGoogle Scholar
- Kool M, Korshunov A, Remke M, Jones DT, Schlanstein M, Northcott PA, et al. Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas. Acta Neuropathol. 2012;123:473–84.PubMed CentralView ArticlePubMedGoogle Scholar
- Manoranjan B, Venugopal C, McFarlane N, Doble BW, Dunn SE, Scheinemann K, et al. Medulloblastoma stem cells: where development and cancer cross pathways. Pediatr Res. 2012;71:516–22.View ArticlePubMedGoogle Scholar
- Zanini C, Ercole E, Mandili G, Salaroli R, Poli A, Renna C, et al. Medullospheres from DAOY, UW228 and ONS-76 cells: increased stem cell population and proteomic modifications. PLoS ONE. 2013;8(5):e63748. doi:https://doi.org/10.1371/journal.pone.0063748.PubMed CentralView ArticlePubMedGoogle Scholar
- Momen-Heravi F, Balaj L, Alian S, Mantel PY, Halleck AE, Trachtenberg AJ, et al. Current methods for the isolation of extracellular vesicles. Biol Chem. 2013;394:1253–62.View ArticlePubMedGoogle Scholar
- van der Pol E, Böing AN, Harrison P, Sturk A, Nieuwland R. Classification, functions, and clinical relevance of extracellular vesicles. Pharmacol Rev. 2012;64:676–705.View ArticlePubMedGoogle Scholar
- Epple LM, Griffiths SG, Dechkovskaia AM, Dusto NL, White J, Ouellette RJ, et al. Medulloblastoma Exosome Proteomics Yield Functional Roles for Extracellular Vesicles. PLoS ONE. 2012;7, e42064. doi:https://doi.org/10.1371/journal.pone.0042064.PubMed CentralView ArticlePubMedGoogle Scholar
- Chairoungdua A, Smith DL, Pochard P, Hull M, Caplan MJ. Exosome release of β-catenin: a novel mechanism that antagonizes Wnt signaling. J Cell Biol. 2010;190:1079–91.PubMed CentralView ArticlePubMedGoogle Scholar
- Wang T, Gilkes DM, Takano N, Xiang L, Luo W, Bishop CJ, et al. Hypoxia-inducible factors and RAB22A mediate formation of microvesicles that stimulate breast cancer invasion and metastasis. Proc Natl Acad Sci U S A. 2014;111:E3234–42.PubMed CentralView ArticlePubMedGoogle Scholar
- Menck K, Klemm F, Gross JC, Pukrop T, Wenzel D, Binder C. Induction and transport of Wnt 5a during macrophage-induced malignant invasion is mediated by two types of extracellular vesicles. Oncotarget. 2013;4(11):2057–66.PubMed CentralView ArticlePubMedGoogle Scholar
- Simpson RJ, Lim JW, Moritz RL, Mathivanan S. Exosomes: proteomic insights and diagnostic potential. Expert Rev Proteomics. 2009;6:267–83.View ArticlePubMedGoogle Scholar
- Raimondo F, Morosi L, Chinello C, Magni F, Pitto M. Advances in membranous vesicle and exosome proteomics improving biological understanding and biomarker discovery. Proteomics. 2011;11:709–20.View ArticlePubMedGoogle Scholar
- Steegmann-Olmedillas JL. The role of iron in tumour cell proliferation. Clin Transl Oncol. 2011;13:71–6.View ArticlePubMedGoogle Scholar
- Maggio A, Filosa A, Vitrano A, Aloj G, Kattamis A, Ceci A, et al. Iron chelation therapy in thalassemia major: A systematic review with meta-analyses of 1520 patients included on randomized clinical trials. Blood Cells Mol Dis. 2011;47:166–73.View ArticlePubMedGoogle Scholar
- Mandili G, Khadjavi A, Gallo V, Minero VG, Bessone L, Carta F, et al. Characterization of the protein ubiquitination response induced by Doxorubicin. FEBS J. 2012;279:2182–91.View ArticlePubMedGoogle Scholar
- Morello N, Tonoli E, Logrand F, Fiorito V, Fagoonee S, Turco E, et al. Haemopexin affects iron distribution and ferritin expression in mouse brain. J Cell Mol Med. 2009;13:4192–204.PubMed CentralView ArticlePubMedGoogle Scholar
- Bisaro B, Montani M, Konstantinidou G, Marchini C, Pietrella L, Iezzi M, et al. p130Cas/Cyclooxygenase-2 axis in the control of mesenchymal plasticity of breast cancer cells. Breast Cancer Res. 2012;14:R137. doi:https://doi.org/10.1186/bcr3342.PubMed CentralView ArticlePubMedGoogle Scholar
- Natale M, Bonino D, Consoli P, Alberio T, Ravid RG, Fasano M, et al. A meta-analysis of two-dimensional electrophoresis pattern of the Parkinson’s disease-related protein DJ-1. Bioinformatics. 2010;26:946–52.View ArticlePubMedGoogle Scholar
- Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–504.PubMed CentralView ArticlePubMedGoogle Scholar
- Maere S, Heymans K, Kuiper M. BiNGO: a cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics. 2005;21:3448–9.View ArticlePubMedGoogle Scholar
- Théry C, Amigorena S, Raposo G, Clayton A. Isolation and characterization of exosomes from cell culture supernatants and biological fluids.Curr Protoc Cell Biol. 2006;Chapter 3:Unit 3.22. doi: https://doi.org/10.1002/0471143030.cb0322s30.
- Bruno S, Deregibus MC, Camussi G. The secretome of mesenchymal stromal cells: Role of extracellular vesicles in immunomodulation. Immunol Letters. 2015.Google Scholar
- Akers JC, Gonda D, Kim R, Carter BS, Chen CC. Biogenesis of extracellular vesicles (EV): exosomes, microvesicles, retrovirus-like vesicles, and apoptotic bodies. J Neurooncol. 2013;113:1–11. doi:https://doi.org/10.1007/s11060-013-1084-8.View ArticlePubMedGoogle Scholar
- Colombo M, Raposo G, Théry C. Biogenesis and secretion of exosomes. Curr Opin Cell Biol. 2014;29:116–25.View ArticleGoogle Scholar
- Azmi AS, Bao B, Sarkar FH. Exosomes in cancer development, metastasis, and drug resistance: a comprehensive review. Cancer Metastasis Rev. 2013;32:623–42.View ArticlePubMedGoogle Scholar
- Graner MW, Alzate O, Dechkovskaia AM, Keene JD, Sampson JH, Mitchell DA, et al. Proteomic and immunologic analyses of tumor brain exosomes. FABES J. 2009;23:1541–57.Google Scholar
- Le NT, Richardson DR. The role of iron in cell cycle progression and the proliferation of neoplastic cells. Biochim Biophys Acta. 2002;1603:31–46.PubMedGoogle Scholar
- Heath JL, Weiss JM, Lavau CP, Wechsler DS. Iron Deprivation in Cancer––Potential Therapeutic Implications. Nutrients. 2013;5:2836–59.PubMed CentralView ArticlePubMedGoogle Scholar
- Ohara T, Noma K, Urano S, Watanabe S, Nishitani S, Tomono Y, et al. A novel synergistic effect of iron depletion on antiangiogenic cancer therapy. Int J Cancer. 2013;132:2705–13.View ArticlePubMedGoogle Scholar
- Lane DJ, Mills TM, Shafie NH, Merlot AM, Saleh Moussa R, Kalinowski DS, et al. Expanding horizons in iron chelation and the treatment of cancer: role of iron in the regulation of ER stress and the epithelial-mesenchymal transition. Biochim Biophys Acta. 1845;2014:166–81.Google Scholar
- Jansson PJ, Yamagishi T, Arvind A, Seebacher N, Gutierrez E, Stacy A, et al. Di-2-pyridylketone 4,4-dimethyl-3-thiosemicarbazone (Dp44mT) overcomes multidrug resistance by a novel mechanism involving the hijacking of lysosomal P-glycoprotein (Pgp). J Biol Chem. 2015;290:9588–603.View ArticlePubMedGoogle Scholar