Abstract
The tumor microenvironment modulates cancer growth. Extracellular vesicles (EVs) have been identified as key mediators of intercellular communication, but their role in tumor growth is largely unexplored. Here, we demonstrate that EVs from sarcoma patients promote neoangiogenesis via a purinergic X receptor 4 (P2XR4) -dependent mechanism in vitro and in vivo. Using a proteomic approach, we analyzed the protein content of plasma EVs and identified critical activated pathways in human umbilical vein endothelial cells (HUVECs) and human progenitor hematopoietic cells (CD34+). We then showed that vessel formation was due to rapid mitochondrial activation, intracellular Ca2+ mobilization, increased extracellular ATP, and trafficking of the lysosomal P2XR4 to the cell membrane, which is required for cell motility and formation of stable branching vascular networks. Cell membrane translocation of P2XR4 was induced by proteins and chemokines contained in EVs (e.g. Del-1 and SDF-1). Del-1 was found expressed in many EVs from sarcoma tumors and several tumor types. P2XR4 blockade reduced EVs-induced vessels in angioreactors, as well as intratumor vascularization in mouse xenografts. Together, these findings identify P2XR4 as a key mediator of EVs-induced tumor angiogenesis via a signaling mediated by mitochondria-lysosome-sensing response in endothelial cells, and indicate a novel target for therapeutic interventions.
Subject terms: Cancer microenvironment, Cell polarity
Introduction
Cancer cells release more extracellular vesicles (EVs) than normal cells, leading to higher concentrations in patient blood [1, 2]. Several studies suggest that they are absorbed on the surface of target cells and penetrate them. Tumor EVs play multiple roles in paracrine and autocrine cell communication and in the regulation of molecular pathways of malignancies [3–7]. EVs derived from activated platelets contribute to metastasis of lung cancer [5]. EVs from renal carcinoma stem cells prepare metastatic niche [8] and transfer Pyruvate kinase M2 (PKM2) into different cell types of the microenvironment, favoring hepatocarcinoma progression [3]. Based on multiple studies reporting molecular pathways activated by EVs, they are also considered a “source of biomarkers” [9]. However, given the histological and genetic heterogeneity of malignancies, the composition of tumor EVs varies and their role remains largely unexplored [10].
Neoangiogenesis plays an important role in cancer growth. Tumor EVs contain a variety of proangiogenic factors [11, 12], which are a prominent target of cancer therapy. Bone cancers comprise several highly vascularized, drug-resistant subtypes [13–17]. We therefore investigated angiogenic mechanisms of cancers triggered by large EVs from giant cell tumors of bone (GCTB), which represent ~5% of all primary bone tumors and constitute a well-defined clinicopathological and molecular entity [11, 12]. Histologically, GCTB are composed of neoplastic mononuclear cells of myeloid linage and multinucleated osteoclast-like giant cells [13, 14]. Treatment is based essentially on Denosumab antibody against RANKL [18] and novel immune-based regimens are emerging from three-dimensional models of individual biopsies [19, 20].
Here we assess the role of large EVs, from blood of sarcoma patients, on the formation of new vessels and identify a lysosomal receptor P2XR4-dependent signaling mechanism promoting angiogenesis by influencing endothelial mitochondrial activity and cell motility.
Material and methods
Cell cultures and microvesicles (MVs) preparation
Cells from biopsies were obtained by digestion with collagenase type IV (0.2 mg/ml, Gibco, Italy) for 1 h at 37 °C and grown in RPMI 1640 medium with 10% FBS, l-glutamine, and penicillin/streptomycin (Life Technologies, Milan, Italy). Human umbilical vein endothelial cells (HUVECs) from Lonza (Milan Italy) were grown in basal medium (EGM2, Lonza) enriched with SingleQuotsTM. All experiments were performed under cell passages 2–6. CD34+ cells were isolated from 20 ml of healthy donors’ blood apheresis product, stratified on Ficoll-Paque PLUS (Histopaque 1077GE Healthcare Bio-Sciences) and enriched by two runs of immunomagnetic selection on CD34+ and CD133+ MiniMACS columns (Miltenyi Biotec, Gladbach, Germany) in accordance with the manufacturer’s instructions.
Isolation and characterization of EVs
EVs from biopsy culture cells were obtained from conditioned media of 107 cells at 80% of confluence, and grown with 10% Exo-FBS for 24 h (FBS depleted of exosomes, SBI, System Bioscience). Plasma EVs from tumor patients were isolated from 10 ml of blood collected during surgery or from 10 ml of blood from healthy donors. Conditioned media and plasmas were once centrifugated for 10 min at 4 °C and 400 × g, followed by three times at 5000 × g. The supernatant was then ultracentrifugated twice at 14,000 × g for 35 min at 4 °C in a Beckman ultracentrifuge with Ti70 rotor [21]. The resulting pellets were resuspended in PBS with 3.2% NaCitrate (0.11 M) and 1× protease inhibitor cocktail (Sigma-Aldrich) and stored at −80 °C. Equal amounts of MV proteins (quantified by Bradford assay) were used in all functional assays.
Determination of particle number and size distribution
Particle diameters of the EVs fractions in a range between 0 and 1000 nm were analyzed in 3D by Zeta sizer nano 25 ZSP (Malvern Panalytical, Malvern, UK). The size and concentration of EVs were determined by NanoSight NS300 instrument (Malvern Instruments, UK). Different sample dilutions (1:50 to 1:2000, in PBS) with particle concentration in the optimal detection range (5 × 108 to 1 × 109 particles/ml) were determined. Camera settings were kept constant during all acquisitions of the same experiment: Camera level, 7–9; camera gain, 10–12; detection threshold, 2–4. Particle numbers and sizes were calculated based on the Stokes–Einstein equation.
Tube formation assays
HUVECs (6 × 104 cells) were grown in μslide IbiDI culture plates with reduced matrigel and the reaction was stopped after 18 h of stimulation. A total of 1 × 104 CD34+ cells were grown in μslide plates IbiDI with 10 ng/ml fibronectin in EGM2 medium with 0.2% serum, then preincubated for 1 h with 10 μg/ml anti-KDR antibody (R&D Systems, Minneapolis, USA) or 100 ng/ml Bevacizumab (Avastin, Roche), and then stimulated with 6 μg/ml of patient MVs or heat inactivated by 10 min at 80 °C. Images were captured by Zeiss confocal microscope and microvessel lengths and branch numbers quantified by ZEN software.
Transfection SIRNAs
P2X4R mRNA and protein expression in HUVECs was silenced by siRNATrilencer-27 transfection for 48 h with 5 nM P2X4R siRNA or 5 nM scrambled siRNA (SR303323 OriGene Technologies; Rockville, MD, USA), along with jetPRIME transfection reagent (Polypus transfection™; Bioparc, France). For more details see Supplementary methods.
Flow cytometry
Fifty micrograms of MVs was diluted 1:50 in PBS and incubated for 30 min at room temperature with specific antibodies, or stained with 2 μg/ml of 7-aminoactinomycin D (7-AAD) (A1310 Thermo Fisher), in PBS buffer containing 3.2% NaCitrate (0.11 M) and 1× protease inhibitor cocktail (Sigma-Aldrich). Microparticles (0.1, 0.5, 1, and 2 μm) were used to calibrate FACS sorting (Polysciences, Warrington, PA). Cells and MVs were sorted by FACS ARIA III (Becton Dickinson, Franklin Lakes, NJ). At least 30,000 events were analyzed at each experimental point. Control experiments were performed with isotype-matched human IgG (Becton Dickinson) (for antibodies used see extended methods).
Confocal immunofluorescence
A total of 2 × 104 HUVECs or CD34+ cells were grown on glass coverslips (IbiDI), fixed in 4% paraformaldehyde, permeabilized with 0.1% Triton, and incubated for 12 h at 4 °C with mouse monoclonal antibodies to human CD31 (Agilent DAKO), LAMP-1 (MA5-28267 Thermo Fisher), rabbit anti P2XR4 (ALX-215-034 Enzo Life Science) or mouse anti-ICAM-1 antibodies (Agilent DAKO). Cells were then stained by addition of secondary antibodies conjugated with Alexa-488, Alexa-568, or Alexa-647 (1:1000; Molecular Probes, Thermo Fisher). Fluorescence images were captured through 20×, 63×, or 100× oil objectives, using Zeiss microscope imaging software. Confocal images were analyzed by Zeiss image analyzer (version 7.2.3; Bit plane). Intensities of different fluorophores were correlated by Pearson’s coefficient. The colocalization between intensity of different fluorophores was quantified using the Manders’ algorithm.
Intracellular calcium, mitochondrial redox status, and microscopy
For ATP measurements, 5 × 104 CD34+ cells or HUVECs were plated in 24 multiwell plates preincubated for 5 min with inhibitors CBX (50 μM), Pannexin1 (10 μM), 5-BDBD (5 μM), CCCP (5 μM) and Apyrase (20 U), stimulated for 1 min or 10 min with 6 μg/ml MVs, and Del-1, then assayed with ATP bioluminescence kit (Thermo Fisher Scientific). Mitochondrial activity was assayed by adding 10 nM MitoTracker CM-H2XRos (Thermo-Fisher M7513) to the cell media, and after washing the fluorescence was measured in living cells by TECAN infinity 2000 (Ex 579 /Em599). Mitochondrial morphology was determined with 10 nM MitoTracker Green or Red (Termo-Fisher 754). Ca2+ measurement was carried out in HUVECs loaded with 5 mM Fura-2 AM, using TECAN infinity 2000 system. Changes in intracellular Ca2+ are represented as the ratio of Fura-2 AM fluorescence induced at an emission wavelength of 510 nm and excitation at 340 and 380 nm (ratio = F340/F380). Experiments were done in free Ca2+ solution (in mM: 140 NaCl, 2.7 KCl, 4 MgCl2, 0.5 EGTA, 10 HEPES, pH 7.4), and Ca2+ influx was determined from changes in Fura-2 fluorescence after re-addition of Ca2 (2.5 mM). HUVECs were stimulated 5 min with Ionomicyn (5 nM) and ATP (50 μM) as controls.
Fluorescence lifetime imaging microscopy (FLIM)
FLIM was used to estimate the fluorescence lifetime of the molecular rotor 4,4-difluoro-5,7-dimethyl-4-bora-3a,4a-diaza-s-indacene-3-dodecanoic acid (Bodipy FL C12) [22]. FLIM was performed with an ISS Alba frequency domain confocal FLIM microscope (ISS, Champaign, IL), at water immersion objective (60×, N.A. = 1.2). Fluorescence lifetime (τ) values are expressed as nanoseconds (ns), as mean ± SEM of three independent measurements. Pixel fits to the lifetime data were performed using the manufacturer’s software (Vista Vision 4.0).
Proteomic analysis
Thirty micrograms of proteins for each condition was digested by trypsin onto S-Trap filters, following the protein digestion protocol of the manufacturer (Protifi, Huntington, NY). Two biological replicates were analyzed for individual MVs, three for CD34+ cells treated for 30 min versus control group, and two for cells treated for 24 h versus control group. Each biological replicate was analyzed in duplicate by nano LC–MS/MS, using the Easy-nLC II chromatographic system coupled with a linear trap quadropole (LTQ) Orbitrap XL mass spectrometer (Thermo Fisher Scientific, Waltham, MA). The fold changes were calculated as label free quantification (LFQ) values, using Viewer 26 to reveal significantly changed proteins. Proteins were identified by three peptides. Proteins were then further analyzed by Clue-Go plug-in, in the latest version of Cytoscape software (3.7.1). Protein accession numbers and Gene Ontology (GO) database were used to cluster data according to cellular components and pathways (see Supplementary methods).
RT-PCR
Five hundred nanograms of total RNA was converted into cDNA, using a Transcriptor First Strand cDNA synthesis kit (Roche, Penzberg, Germany). For primers used for real-time and condition see Supplementary methods. Data were determined by the 2−Δ/ΔCt method.
Western blots
Thirty micrograms of protein extracts was resolved by SDS-PAGE, transferred to nitrocellulose membranes, and incubated overnight at 4 °C with CD9- or HSP70-specific antibodies in 1% BSA (Ts9 Cat #10626D Invitrogen, 3A3 Cat #MA3-006 Thermo-Fisher) and Tubulin monoclonal antibody (Cat# OAPA00361 Aviva System). Antigen-bound antibodies were visualized by ECL. Uncropped immunoblots areas of the main figures are shown in supplements, as are other antibod used.
Direct in vivo angiogenesis assay (DIVA) and xenograph
Tumor growth
A total of 1 × 106 Saos cells in 100 μl were injected into the flank of 6-week-old female athymic (nude/nude) CD-1 mice (ENVIGO Laboratories) (randomly distributed in four groups and n = 5 per group). One group receiving only T-MVs, the second T-MVs +5-BDBD, the third group C-MVs, the four group C-MVs+ 5-BDBD. Starting on day 7 after cell implantation until day 21, mice were injected intraperitoneally 3 times per week with 5-BDBD at a dose of 4.25 mg/kg, or 70 μg T-MVs-PHK23 or 70 μg C-MVs-PHK23, in a volume of 100 μl. Tumor diameters were measured using a caliper, and the volumes were calculated using the formula: Volume = Length × (Width)2, where the ‘length’ corresponds to the longest and the ‘width’ to the shortest of the measured tumor diameters.
DIVA
In vivo angiogenesis was also determined by DIVA (3450- 048-K, R&D Systems). Angioreactors were filled with basement membrane extract (10 μl) premixed with 6 μg T-MVs, C-MVs, or 1 μM Del-1 with or without 5-BDBD while for genetic silencing of P2XR4, 5 nM of scramble siRNA or siP2XR4 were added to T-MVs treatment (see Supplementary methods). Four Angioreactors were implanted in different mouse groups (n = 3 per group) and injected intraperitoneally three times per week from day 1 to day 14 post implantation with 5-BDBD at a dose of 4.25 mg/kg, or 70 μg T-MVs-PHK23 or 70 μg C-MVs-PHK23, 1 nmol (around 0.4 mg/kg) of scramble siRNA or siP2XR4-RNA in a volume of 100 μl; at day 14 the angioreactors were explanted and quantified by FITC lectin at 550 nm.
Retinal preparation
P6 old mice (n = 3 per group) were intraperitoneus injected with 100 μl of 70 μg/ml of MVs or 100 ng/ml of VEGF. At P10 mice retinae were prepared by dissecting eyes, fixing them in 4% paraformaldehyde for 15 min at RT. After removing the cornea, sclera, lens, and hyaloids vessels, retinas were fixed in methanol at −20 °C for 12 h, and permeabilized in blocking buffer (1% BSA) and 3% Triton X-100 in PBS for 3 h at 4 °C. For immunostaining, I-isolectin B4 (IB4, P5704 Sigma) was diluted in 0.3% Triton X-100, 1 mMCaCl2, 1 mM MnCl2 and 1 mM MgCl2 in PBS, pH 6.8, and retinas were stained overnight at 4 °C. Retinas were flat-mounted with Moviol and images obtained with Zeiss microsope and imageJ software (National Institutes of Health, MD, USA).
Animal use
All animal experiments were performed in compliance with the Italian GPL Guidelines (Italian Law Decree 116/92 issued by the Ministry of Health) and Directive 201/63/EU of the European Parliament on the protection of animals used for scientific purposes. Protocols relating to the present work were approved by the Animal Care and Use Committee of the University of Campania “L. Vanvitelli”, Naples, Italy. Animals were acclimatized, quarantined for at least 1 week and then housed in micro-controlled individual cages with ad libitum access to food and water. All efforts were made to minimize animal suffering and to reduce the number of animals.
Statistical analysis
Statistical analysis was performed by Student’s t-test, one-way ANOVA, non-parametric Mann–Whitney T-test, post-hoc Tukey’s tests, or Heatmap using SPSS version 21. Sample sizes were chosen based on previous experience. Differences were considered significant at P < 0.05.
Special materials and reagents are listed in Supplementary data.
Results
Characteristics of tumor extracellular microvesicles derived from plasma of sarcoma patients
Large tumor microvesicles (T-MVs) were prepared from the plasma of six different GCTB patients, three healthy donors and one from cultured media of tumor biopsy using differential ultracentrifugation [21]. Representative preparation of T-MVs had a diameter distribution range of 100–250 nm radiant (measured also considering angular dimensions X, Y, Z) with a major peak at ~150 nm (Fig. 1A and Supplementary Table S1), confirmed by nanoparticle-tracking analysis (Fig. 1B). Control microvesicles (C-MVs) from healthy subjects prepared in the same condition had smaller diameters (Fig. 1A). Clinical pathological characteristics of patients and their MVs sizes are shown in Table S1. Specific MVs markers for studies of EVs required by the guideline of the International Society for Extracellular Vesicles (MISEV2018) were detected [23]. Fluorescence cell sorting analysis showed that plasma T-MVs were positive for CD9 and CD63 antigens (category-1 EV markers) ranging between 1 and 20 percent. A representative analysis is shown in Fig. 1C, D. T-MVs also expressed antigens typical of mesenchymal cells, i.e., CD90, CD117, and CD44, in a range varying from patient to patient (Fig. 1D). By western blots we also detected CD9, CD63, HSP70 (a category-2 stress marker), and tubulin (a category-2b EV marker) proteins (Fig. 1E) in both control MVs and T-MVs. All large MVs prepared were negative to cytochrome C, considered apoptotic body markers, although we cannot exclude that exosomes were also present in MVs preparation.
Tumor-derived microvesicles are proangiogenic
To test the role of T-MVs in neoangiogenesis, a branch-formation assay was performed testing different MVs (protein) concentrations (Supplementary Fig. 1). In HUVECs, T-MVs from some patients (3 GCTB patients) promoted branching networks, which was abolished by heat inactivation. No such effect was observed with C-MVs from healthy individuals at any dosage tested (Fig. 2A and Supplementary Fig. 1). Because myeloid cells are components of giant cell tumor histology, we also used T-MVs to stimulate human hematopoietic progenitor cells (CD34+) isolated from healthy donors (see “Material and methods”). Following 24 h of stimulation with T-MVs, CD34+ cells formed tubular structures (Supplementary Fig. 2A, B). Formation of branching networks in HUVECs and tubules in CD34+ cells were not prevented by antibodies against VEGF receptor 2 (KDR) nor Bevacizumab (in clinical use as an antiangiogenic drug) (Supplementary Fig. 2C, D), indicating that VEGF receptor 2 was not involved. Studies in retinas of 6-day-old (P6) mice 4 days after injection with T-MVs from different patients or C-MVs (6 μg) showed that T-MVs induce extensive formation of vascular sprouts positive for isolectin B4 (Fig. 2D). Only incomplete angiogenesis and disorganized cell accumulations were seen in C-MVs treated mice (Fig. 2D).
Identification of the protein content of microvesicles
To identify activators of the neoangiogenic process, proteins from T-MVs (plasma n = 3), from media of biopsy (n = 1) showing proangiogenic activity, and C-MVs from a healthy individual were analyzed by mass spectrometry. A shotgun proteomics approach indicated that T-MVs from different patients have very different content (Supplementary Table S2). Nevertheless, the comparison of proteins present in plasma T-MVs and cultured media T-MVs from biopsy of the same patient showed 56 common proteins present in duplicate determinations and identified by three peptides (Table S2 and Fig. 3A, B). String analysis of selected proteins identified some previously implicated in vessels formation, e.g., Del-1 integrin-binding protein. Given that Del-1 had one of the highest scores among angiogenic proteins (Fig. 3B) we confirmed its expression by FACS (Fig. 3C), and in plasma T-MVs by western blots (Fig. 3D). Moreover, Del-1 mRNA was expressed in 60% of GCTB biopsies (n = 45) at two- to fourfold higher level than in bone cysts (benign lesions) (n = 25) (Fig. 3E) and reported in several tumor tissues in Atlas Tumor Genomics Consortium bank (ATGC) (Supplementary Fig. 3A).
Proangiogenic pathway activated by tumor microvesicles
To identify the early events of the present proangiogenic mechanism in target cells, we used a proteomic analysis comparing proteins from human endothelial cells stimulated with one T-MVs preparation (because all of them showed similar angiogenic result) with unstimulated cells. We did not include C-MVs stimuli because, although C-MVs contained small amounts of Del-1, they did not induce branches in HUVECs even at the highest concentration (Supplementary Fig. 1), and because a Del-inhibitor did not prevent angiogenesis by T-MVs (data not shown), suggesting that Del-1 is only one component of the present mechanism. Differential proteomic analysis comparing stimulated with unstimulated cells selected 90 differentially expressed proteins, 48 upregulated by up to 1.5-fold, and 42 downregulated (Supplementary Table S3). GO functional analysis using various bioinformatic tools (Cytoscape, String, and Reactome see “Material and methods”) showed that the calcium pathway and vesicle-mediated transport networks were the most upregulated (Supplementary Fig. 3B, C).
Tumor microvesicles activate cytosolic calcium and mitochondria
To confirm the involvement of calcium in this mechanism, we dosed cytosolic calcium by Fluo AM. Confocal images of cells stimulated with T-MVs showed an increase of intracellular calcium and mitochondrial staining compared to C-MVs cells (Fig. 4A, B). Fluorescence dosage indicated that intracellular cytosolic calcium (Ca2+) peaked in 1 min and is sustained for several minutes (Fig. 4C). Mitochondrial activity, oxygen-consuming rate, and extracellular ATP increased similarly (Fig. 4D–G). The mitochondrial inhibitor (CBX) reduced intracellular calcium accumulation, mitochondrial activity measured as potential membrane by MitoCMXRos, and ATP release (Fig. 4C, D), whereas uncoupling oxidative phosphorylation with carbonyl cyanide m-chlorophenyl hydrazine (CCCP) or blocking ATP release with apyrase and pannexin1 (inhibitors of purinergic receptor 7) reduced extracellular ATP and mitochondrial activity (Fig. 4D, E). This suggests that ATP originated from mitochondrial activity promoted by intracellular cytosolic Ca2+ accumulation. The addition of ionophore, a releaser of intracellular cytosolic Ca2+, did not induce mitochondrial activation or tubule formation (data not shown), indicating that other transduction molecules are involved. Similar results were also obtained with recombinant Del-1 protein (Fig. 4E, H).
Intracellular signaling triggered by tumor MVs and the role of P2XR4
To investigate the intracellular signaling after the calcium increase, proteomic analysis was performed on cells stimulated for 24 h with T-MVs, compared to unstimulated cells. Statistical analysis of mass spectrometry data identified 480 proteins by three different peptides in duplicate experiments, of which 356 were up- and 134 downregulated (Supplementary Table S4 and Supplementary Fig. 4A, B). Functional analyses using different bioinformatic tools showed that most overexpressed proteins gathered within two main pathways, vesicle-mediated transport, and energy metabolism (Supplementary Fig. 4B). Among the group of proteins selected by Heatmap (Supplementary Fig. 4A and Supplementary Table 4), we focused further investigation on purinergic X recetor 4 (P2XR4), because this ATP-gated channel promotes Ca2+ influx and T-cell motility [24]. P2XR4 was the unique receptor of the purinergic family selectively increased following T-MVs stimulation. In our experimental setting P2XR4 expression in non-stimulated cells or C-MVs was very low (Fig. 5C). After 6 h of stimulation by T-MVs, the dense cluster of P2XR4 staining colocalized with lysosome-associated membrane glycoprotein 1 (LAMP-1) an integral lysosome membrane protein. Moreover, in some cells P2XR4 protein was also colocalized with ICAM-1 membrane protein, mostly on one side of the cell (Fig. 5A, B), with a Pearson coefficient of overlap of 89% (R = 0.59) (Fig. 5D) and on the surface of tubules (Fig. 5A). In HUVECs stimulated with T-MVs, the branches formed showed an intense lysosome staining and P2XR4 delinated the cell membrane (Fig. 5A lower panel). The increase and surface presentation of P2XR4 were also induced by recombinant Del-1 protein (Supplementary Fig. 4C) and other proangiogenic stimuli, such as chemokines CXCL12 (SDF-1) and CCL5 detected in our proteomic analysis (Supplementary Fig. 5). Moreover, no evidence of autophagic mechanism increase was revealed in T-MVs stimulated cells compared to controls (Supplementary Fig. 6A).
P2XR4 mediates vesicular trafficking and endothelial cell migration
To confirm lysosome and P2XR4 trafficking onto the cell membrane, we used FLIM. Because the fusion of lysosomes (intracellular membranes) with the extracellular membrane alters the viscosity of the latter [22], we measured the fluorescence lifetime of the molecular rotor 4,4-difluoro-5,7-dimethyl-4-bora-3a,4a-diaza-s-indacene-3-dodecanoic acid (BODIPY FL C12) [25]. Cell stimulation by T-MVs reduced BODIPY lifetime to 1.7 ns compared to 2.5 ns of C-MVs, indicating an increase of membrane permeability (Fig. 6A). In order to investigate the link between T-MVs, calcium, and P2XR4 we inhibited P2XR4 by chemical and genetic approach. We assessed that 5-BDBD antagonist reduces the viability of T-MVs stimulated cells in a dose-dependent manner (Supplementary Fig. 6B, C). Oxygen consumption rate, as measure of mitochondrial function, decreased in a dose-dependent manner, early after addition of 5-BDBD, as did mitochondrial ATP production (Supplementary Fig. 6D, E). 5-BDBD at dose of 5 μM was effective to reduce HUVECs membrane viscosity, a measure of membrane dynamic trafficking (Fig. 6A). 5-BDBD (5 μM) prevented mitochondrial localization to one cell pole (Fig. 6B-D) reduced mitochondrial activity, and extracellular ATP release (Fig. 6E, F). Moreover, 5-BDBD affected two essential steps of neangiogenesis-motility and branch formation- in a dose-dependent manner (Supplementary Fig. 6F–H). Pharmacological inhibition of P2XR4 also reduced Del-1 activity in stimulated HUVECs (Supplementary Fig. 7). Genetic ablation of P2XR4 by siRNA trasfection attenuated cell proliferation by 3%, measured as the amount of Ki67-positive cells, compared to scramble siRNA trasfected cells (Supplementary Fig 8A–C). siP2XR4-RNA influenced cell migration in the wound-healing assay and branch formation. As indicated in supplementary Fig. 8 control HUVECs and those transfected with siRNA scramble closed 80% of the wound in 12 h, whereas cells transfected with siRNA of P2XR4 inefficiently sealed the wound over the same time frame (Supplementary Fig. 8D, E). In addition, siP2XR4-RNA transfection reduced significantly the capability of HUVECs to form branches on matrigel (Supplementary Fig 8G, H). Therefore, these data demonstrated that P2XR4 is required for HUVECs tube formation, proliferation, migration, and mitochondrial energy production (Supplementary Fig. 8).
Inhibition of P2XR4 reduces tumor growth and angiogenesis in vivo
To investigate the in vivo relevance of the present mechanism, we examined whether T-MVs and Del-1 protein can promote vessel formation in angioreactors under non-pathological conditions [26]. For this purpose, nude/nude mice were implanted angioreactors filled with matrigel containing VEGF, T-MVs, Del-1, C-MVs, all w/wo 5 μM 5-BDBD, or with scramble or siP2XR4-RNA, and injected intraperitoneally with the same agents for 14 days (see “Material and methods”). Angioreactors from T-MVs treated mice showed numerous vessels, compared to mice treated with T-MVs + 5-BDBD, whereas no vessels were present in C-MVs angioreactors (Fig. 7A). Histological examination indicated a higher number and larger diameters of CD31+ vessels in mice treated with T-MVs, compared to T-MVs + 5-BDBD and with T-MVs+ scramble, compared to siP2XR4 (Fig. 7B, C). Similar results were obtained in angioreactors filled with Del-1, compared to Del-1 + 5-BDBD (Fig. 7D). Fluorescence lectin quantification of vessels (extracted from angioreactors) indicated a threefold decrease of vascularization in 5-BDBD-treated mice compared to T-MVs and twofold decrease in siP2XR4 mice compared to scramble (Fig. 7E). None of the treatments affected the number of circulating CD34+ cells (data not shown). To confirm the above findings under pathological conditions, xenograft mouse tumor models were intraperitoneally injected with T-MVs or C-MVs, and 5-BDBD. Explanted tumors from mice treated with T-MVs + 5-BDBD or C-MVs + 5-BDBD were significantly smaller (i.e., had lower weight) than those of mice receiving only T-MVs or control C-MVs (P < 0.001) (Fig. 8A–C). A significant difference was also observed between T-MVs and C-MVs treatment in final tumor size and weight (P < 0.05) (Fig. 8A–C). Histological examination of size-matched tumor sections revealed 50% fewer CD31+ cells per area in tumors treated with T-MVs + 5-BDBD, compared with T-MVs alone, whereas tumor vascularization was significant higher in T-MVs then C-MVs. (Fig. 8D–G). In addition, CD31+ positivity was greater in C-MVs treated tumors than in those of the C-MVs + 5-BDBD group, suggesting that vessels developing spontaneously during tumor growth were reduced by 5-BDBD treatment.
Discussion
The present study shows that T-MVs from sarcoma patients can activate neangiogenesis in non-pathological conditions and tumor environments, and that this is reduced by pharmacologic and genetic inhibition of P2XR4. Purinergic signaling has been shown to mediate a variety of cancer-related processes in the tumor microenvironment [27, 28]. P2XR4 was previously reported to control vascular tone and remodeling in response to hypoxia [29] pulmonary hypertension [30], inflammation and pain in dorsal root neuron ganglions [31], cell motility in immune response [24], and mediated thymosin b-4 HUVEC motility [32]. We now provide evidence for the role of P2XR4 in neoangiogenesis promoting tumor growth. The mechanism here reported involves an increase of cytosolic calcium and mitochondrial activity, sustained by Ca2+ influx and ATP consumption via the P2XR4 receptor.
The role of mitochondrial energy in cell migration during angiogenesis is well established, but it is not definitively established whether receptor pathways are involved [33, 34]. Our differential proteomic analysis indicated that P2XR4 is the sole purinergic receptor increased by tumor MVs stimulation of endothelial cells. T-MVs stimulation induces the translocation and clustering of lysosomal P2XR4 on the cell membrane, where it sets in motion a feed-forward mechanism to further increase intracellular calcium, mitochondrial activity, and ATP production. Dissecting this mechanism by uncoupling the mitochondrial respiratory chain and inhibiting P2XR4 receptor activity provides evidence that both are necessary to promote cell migration and formation of branching tubular networks.
Given that the composition of patient T-MVs varies greatly, we tried to analyzed their protein content. Our proteomic analysis identified Del-1 protein and confirmed its increased presence in MVs isolated from plasma tumor patients, compared to controls from healthy subjects, as well as in many tumor biopsies of GCTB patients. The involvement of Del-1 in angiogenesis has long been assumed [35–38]. Del-1 regulates leukocyte recruitment, promotes resolution of inflammation by mediating phagocytosis of apoptotic neutrophils [39], and bone osteogenesis [40]. In contrast, the metabolic mechanism triggered by T-MVs containing Del-1 in tumor angiogenesis was not known. We showed that Del-1 and T-MVs positive to Del-1 together with at least two established proangiogenic factors, (CCL5 and CXCL12) polarizes P2XR4 receptors on cell membranes [41]. This may also mean that P2XR4 is involved in cell motility in general. In vivo experiments confirmed that blocking P2XR4 activity reduces tumor vascularization promoted by T-MVs but also, to a lesser extent, by C-MVs. Results indicate that P2XR4 is a key downstream effector of multiple proangiogenic factors promoting tumor vascularization, although we cannot exclude that P2XR4 could be also involved in sarcoma cell growth [42]. Collectively, the present findings provide proof-in-principle that P2XR4 is a key player in a proangiogenic mechanism that connects mitochondrial activity and endothelial cell motility and promotes tumor vascularization and growth. Moreover, we provide evidence that P2XR4 is a potential target to modulate neoangiogenesis.
Supplementary information
Acknowledgements
We thank Dr. Laura Mosca for her technical assistance
Author contributions
FdN was the principal investigator of the project, coordinated all activities, and performed in vitro experiments. WP and FdN jointly, developed the experimental approach, evaluated results, and wrote the paper. FF and MG provided tumor tissues, II, FC, PP, and MM performed proteomic analyses. LA and RC provided FACS analysis. CI contributed FLIM analysis, and GM and SP performed immunohistochemistry. AB. contributed to experiments, and SB performed animal experiments. ADC embedded biopsy samples and performed histology. All co-authors reviewed the manuscript.
Funding
Progetto Valere University of “Campania L. Vanvitelli” 2019-2021 FdN.
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request
Competing interests
The authors declare no competing interests.
Patients and ethical statement
All patients were diagnosed and treated by an experienced multidisciplinary sarcoma team at the G. Pascale Institute, Naples, Italy, according to National guidelines. The use of patient fluids and tissues was approved under the BioBank project of the G. Pascale Institute approved on January 20, 2016 (delibera n.15) and covered by informed consent of patients.
Footnotes
Edited by G. Melino
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Wulf Palinski, Maria Monti.
Contributor Information
Wulf Palinski, Email: wpalinski@ucsd.edu.
Filomena de Nigris, Email: filomena.denigris@unicampania.it.
Supplementary information
The online version contains supplementary material available at 10.1038/s41419-021-04069-w.
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Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request