- Open Access
Exosomes derived from myeloid-derived suppressor cells facilitate castration-resistant prostate cancer progression via S100A9/circMID1/miR-506-3p/MID1
Journal of Translational Medicine volume 20, Article number: 346 (2022)
Castration-resistant prostate cancer (CRPC) is a major cause of recurrence and mortality among prostate cancer (PCa) patients. Myeloid-derived suppressor cells (MDSCs) regulate castration resistance in PCa. Previously, it was shown that intercellular communication was efficiently mediated by exosomes (Exos), but the role and the mechanism of MDSC-derived Exos in CRPC progression was unclear.
In this study, the circRNA expression profiles in PC3 cells treated with MDSC-Exo and control cells were investigated using a circRNA microarray.
The data showed that circMID1 (hsa_circ_0007718) expression was elevated in PC3 cells treated with MDSC-Exo. Moreover, high circMID1 expression was found in PCa compared with benign prostatic hyperplasia (BPH) tissues and in CRPC patients compared with hormone sensitive prostate cancer (HSPC) patients. Further studies showed that MDSC-Exo accelerated PCa cell proliferation, migration, and invasion, while circMID1 deficiency inhibited MDSC-Exo-regulated CRPC progression in vitro and in vivo. Mechanistically, MDSC-derived exosomal S100A9 increased circMID1 expression to sponge miR-506-3p, leading to increased MID1 expression and accelerated tumor progression.
Together, our results showed that a S100A9/circMID1/miR-506-3p/MID1 axis existed in MDSC-Exo-regulated CRPC progression, which provided novel insights into MDSC-Exo regulatory mechanisms in CRPC progression.
Prostate cancer (PCa) is a malignancy, which usually occurs among males in Western countries . Although PCa was originally responsive to androgen deprivation therapy (ADT), the occurrence of castration-resistant prostate cancer (CRPC) following ADT is a major clinical problem because the recurrent disease does not respond well to alternative therapies . The prognoses of CRPC patients remain poor, and CRPC is not considered curative [3,4,5]. Consequently, identifying new molecular mechanisms of androgen-independent signalling pathways could identify more effective therapies for CRPC.
Cancer cells might weaken the immune defense by activating immunosuppressive mechanisms or inhibiting immune responses, which form a tumor microenvironment leading to cancer cell growth, survival, and metastatic spread. Myeloid-derived suppressor cells (MDSCs) comprise a prominent immune cell subset infiltrating the CRPC microenvironment [6, 7]. Elevated levels of MDSCs are detected in tumor tissue and peripheral blood of PCa patients, and the levels correlate with disease progression [8, 9]. MDSCs are immature myeloid cells with potent immunosuppressive mechanisms in tumor microenvironments (TME). They mediate immune suppression by polarizing macrophages to a tumor-promoting phenotype  and preventing tumor-reactive T lymphocyte activation, which promote tumor angiogenesis . Among these mechanisms, some demand interactions between target cells and MDSCs, or soluble mediator release. IL23 produced by MDSCs can activate the androgen receptor (AR) pathway in PCa cells, which promote cell proliferation and survival in androgen-deprived conditions. Antibody-mediated IL-23 inactivation restores sensitivity to ADT in mice, suggesting a MDSC-mediated castration resistance mechanism . However, the MDSCs-mediated resistance mechanism to castration remains largely unknown.
It is accepted that intercellular communication is not related to soluble mediators or cell-to-cell contact, and could instead be effectively mediated by exosomes (Exos) [12, 13]. Exos derived from immune cells are major components of the TME, which lead to heterogeneous and complex interplay between tumor cells and immune cells. In fact, MDSCs-shed Exos contain proinflammatory mediators such as S100A9 and S100A8 , which promote tumor progression and suppress anti-tumor responses. Recent reports have shown that Exos derived from MDSCs had the biological ability to regulate chemotherapy resistance and tumor progression . Despite an increasing number of investigations indicating MDSC-released exosomes function in immune suppression, it is not clear if MDSCs-derived Exos have specific biological activities regarding castration resistance and the regulation of prostate tumor progression. Identifying new molecular mechanisms of MDSC-Exo-regulated CRPC progression may therefore provide promising ways to improve CRPC treatment. In addition, exosomes are emerging as a new type of cancer biomarkers. Numerous studies have now shown that the unequivocal markers for tumor-derived exosomes may represent a very sensitive diagnostic approach for clinical evaluation of disease progression [16,17,18]. Rashid's research has shown that the differential in vivo distribution of radioisotope 131I-labeled exosomes from diverse cellular origins, e.g., tumor cells with or without treatments, MDSCs and endothelial progenitor cells . Alterations in protein or nucleic acid profiles of exosomes are correlate with pathological processes of many diseases including cancer, thus, tracking this change could be utilized to monitor disease progression, metastasis, and exosome-based targeted therapy.
Circular RNAs (circRNAs) have been recently shown to be endogenous noncoding RNAs, which function significantly in many cancer progressions, including Pca [20, 21]. One of the main ways that circRNAs regulate gene expression is by functioning as a miRNA “sponge” to modify miRNA activity via sequestration, which alters mRNA target gene expression . The circRNAs from the AR gene have been identified in CRPC , which suggests a potential role as biomarkers or as therapeutic targets. Wu et al. reported that circRNA17 altered the enzalutamide sensitivity and CRPC cell invasion as suppressors, by regulating Arv7 expression by sponging miR-181c-5p . Nevertheless, the functions and roles of circRNAs in PCa progression are still unknown.
In the current study, using a circRNA microarray profiling, we showed that circMID1 (hsa_circ_0007718) expression was markedly elevated in PC3 cells treated with Exos from MDSCs. Moreover, high circMID1 expression was found in PCa compared with benign prostatic hyperplasia tissues and in CRPC patients compared with hormone sensitive prostate cancer (HSPC) patients. In vitro and in vivo studies showed that circMID1 deficiency inhibited MDSC-Exo-regulated CRPC progression. Mechanistically, we showed that MDSC-derived exosomal S100A9 increased circMID1 expression to sponge miR-506-3p, which might then lead to increased MID1 expression and accelerate tumor progression. The results provided novel insights into the MDSC-Exo regulatory mechanisms in CRPC progression.
An androgen-independent human PCa cell line (PC3) and DU145 were obtained from the American Type Culture Collection (ATCC, Manassas, VA, USA) and maintained according to ATCC guidelines. We cultured PC3 cells in RPMI-1640 medium with 100 IU/mL penicillin, 10% fetal bovine serum (FBS), and 100 μg/mL of streptomycin, and maintained the cells in a humidified incubator with an atmosphere comprised of 5% CO2 and 95% air at 37 °C.
Isolation and characterization of Exos derived from MDSCs
We generated human MDSCs from human peripheral blood mononuclear cells (PBMCs) in vitro as previously described [6, 25]. Briefly, we isolated PBMCs from healthy donors by venipuncture, followed by differential density gradient separation (Ficoll HyPaque; Sigma-Aldrich, St. Louis, MO, USA). The PBMCs (1 × 106 cells/mL) were cultured in T25 flasks with RPMI 1640 medium containing 10% heat-inactivated FBS with granulocyte–macrophage colony-stimulating factor (PeproTech, Rocky Hill, NJ, USA) at 10 ng/mL and IL-6 at 10 ng/mL for 1 week. In vitro-generated polymorphonuclear MDSCs (PMN-MDSCs) were characterized by flow cytometry for expressions of CD15, CD11b, and CD14. The PMN-MDSCs were CD15+ CD14−/low CD11b+ (the sorting strategy is indicated by green boxes in Additional file 1: Fig S1A). We collected and used the cells for further experiments.
We cultured isolated MDSCs (2 × 106 cells/mL) in RPMI-1640 medium containing 10% exosome-depleted FBS for 2 days. FBS was depleted from contaminating bovine exosomes by ultracentrifugation for at least half of a day at 100,000×g. We collected the culture medium using a 0.22 μm filter (BD Falcon; Corning, Corning, NY, USA), and extracted Exos via the ExoQuick Exosome Precipitation Solution (System Biosciences, Palo Alto, CA, USA) following standard procedures. Exos were resuspended in 200 μL of medium. Electron micrographs were observed by transmission electron microscopy (Tecnai-12; Philips, Amsterdam, Netherlands). The BCA protein assay kit was used to quantify the exosomes. Protein markers, CD9, CD63, Hap70, calnexin were determined by immunoblotting. The size and concentration of exosomes were directly measured using the NanoparticleTracking Analyzer (NTA, Malvern Panalytical, Malvern, UK). Identification of MDSC-exosomes was shown in Additional file 1: Fig. S1.
Microarray analysis of circRNAs
We performed circRNA microarray analysis using the Arraystar Human circRNA Array, version 2.0 (Arraystar, Rockville, MD, USA). We performed RNA extraction and microarray hybridization following standard procedures. We extracted total RNA from PC3 cells treated with phosphate-buffered saline (PBS) or MDSC-derived Exos (50 μg/mL) at 48-h using TRIzol reagent (Life Technologies, Carlsbad, CA, USA) following standard procedures. We digested total RNA using RNAse R (Epicentre, Madison, WI, USA) to eliminate linear RNAs and enrich circRNAs. Then, the enriched circRNAs was amplified and transcribed into fluorescent cRNAs using the random priming method using the Arraystar Super RNA Labeling Kit (Arraystar), and hybridizing the cRNAs using the Arraystar Human circRNA Array, version 2 (8 × 15 K). Finally, the slides were washed and scanned using a Scanner G2505C (Agilent, Santa Clara, CA, USA) and the acquired array images were analyzed. Quantile normalization and subsequent data processing was performed using the R software limma package. CircRNAs differentially expressed with statistical significance between MDSC-Exo-PC3 and control-PBS-PC3 (fold-change (FC) ≥ 2 and p ≤ 0.05) were identified through Volcano Plot filtering. Hierarchical clustering was performed to show the distinguishable expression pattern of circRNAs among samples.
Clinical prostate specimens
Patients (ages ranged from 49 to 78 years with a median age of 64 years) undergoing radical prostatectomy for localized PCa (n = 56) and benign prostatic hyperplasia (n = 31) undergoing transurethral resection of the prostate were collected from the Hangzhou Hospital of Traditional Chinese Medicine. All tissue specimens were pathologically confirmed as PCa by two experienced pathologists. The Ethics Committee of the Hangzhou Hospital of Traditional Chinese Medicine approved this study, and we obtained written consent from each participant prior to the study.
Quantitative real-time PCR
We extracted RNA and miRNAs from the cultured cells and tissues using TRIzol reagent (Invitrogen, Karlsruhe, Germany) and an mirVana miRNA isolation kit (Ambion, Austin, TX, USA) following standard instructions. We then synthesized cDNAs using a High Capacity cDNA Reverse Transcription Kit (Thermo Fisher Scientific, Waltham, MA, USA). We performed qPCR analyses using an ABI PRISM 7500 Sequence Detection System (Life Technologies, Grand Island, NY, USA). We used U6 snRNA as an endogenous control of miRNAs, and normalized circRNAs levels to glyceraldehyde 3-phosphate dehydrogenase (GAPDH). We calculated relative gene expression levels using the 2−ΔΔCt method. The primers used for RT-PCR are included in Table 1.
Small interfering RNAs (siRNAs) targeting human circMID1 (si-circMID1), MID1 (si-MID1), and nonspecific negative control oligos (si-control), miR-506-3p-mimics, and the corresponding negative control mimic (miR-NC), anti-miR-506-3p and anti-miR-ctl plasmid-mediated overexpressing circMID1 (over-circMID1) or MID1 (over-MID1) vector, and siRNA targeting S100A9 (si-S100A9) were obtained from Gene Pharma (Shanghai, China). The lentivirus targeting circMID1 (sh-circMID1) was purchased from GeneChem (Shanghai, China). We performed transfections using Lipofectamine 3000 (Invitrogen) following the standard instructions. Overexpression or knockdown effects were measured by RT-qPCR using RNA extracted 2 days after transfection.
For treatments, we preincubated PC3 cells with si-control, si-circMID1, or si-MID1, and anti-miR-ctl, or anti-miR- 506-3p, and miR-NC, or miR-506-3p, over-circMID1 or over-MID1 for 30 min and then treated them with or without MDSC-derived Exos (50 μg/mL) for the indicated times.
Cell proliferation assay
We assessed cell proliferation using the Cell Counting Kit-8 (CCK-8) assay (Dojindo, Shanghai, China). In brief, we seeded cells (3 × 104) into plates with 96 wells and incubated them at 37 °C for 1 day before transfection. We added CCK-8 solution (10 μL) to every well 2 days after transfection. At the indicated time points, we measured absorbance at a wavelength of 450 nm for 5 days using a Spectra Max 250 spectrophotometer (Molecular Devices, San Jose, CA, USA). The experiments were performed in triplicate.
Migration and invasion assays
We performed Transwell assays for PC3 and DU145 cell invasion and migration in 8.0 µm Boyden chambers with 24 wells. For the invasion assays, the chambers were precoated with Matrigel, and cells (3 × 104) were seeded in serum-free medium into the upper level of the chamber. We added full culture medium to the lower chamber as a chemoattractant. After 1 day of incubating at 37 °C with 5% CO2, the membranes were fixed with methanol and stained with 0.1% Crystal Violet. We randomly selected five visual fields (200×) and counted the number of the invading cells using a light microscope. We also carried out migration assays without precoating the chambers.
Cellular uptake of exosomes
Exosomes (20 mg) derived from MDSCs were labeled with CFSE dye, which was diluted at a ratio of 1:1000. After 15 min incubation at 37 °C, the exosomes were harvested and washed with PBS by centrifugation (100,000×g, 70 min). CFSE-labeled exosomes or unlabeled exosomes were added to PC3 and DU145 cells and incubated for 48 h at 37 °C, and the cellular uptake was observed using a confocal fluorescence microscope. The sample was treated in the same manner and used as a control for any free CFSE dye left in the solution. Immunofluorescence microscopy was done as previously described . Primary antibody was mouse IgG anti-alpha-tubulin DM1A (1:2000) (Sigma). Secondary antibody was donkey anti-mouse IgG AlexaFluor 594 (1:500) (Molecular Probes).
Luciferase reporter assay
The constructs containing wild-type (WT) or mutant (MUT) cirMID1 sequences or the MID1 3'-UTR containing the WT or mutated miR-506-3p binding site were subcloned into the luciferase gene by using a pmir-GLO vector (Promega, Madison, WI, USA). We co-transfected HEK293 or PCa cells with 100 ng of luciferase reporter vectors combined with miRNAs mimics/NC or a miR-506-3p mimics/NC (200 pmol) using Lipofectamine 2000 (Invitrogen and Thermo Fisher Scientific). After 2 days of transfection, we detected firefly and Renilla luciferase activities using a dual luciferase reporter assay system (Promega), and expressed the specific activity as the relative activity of firefly to Renilla luciferase. The experiments were conducted in triplicate.
RNA immunoprecipitation (RIP) assays
We performed RIP assays using a Magna RIP RNA-Binding Protein Immunoprecipitation Kit (Millipore, Bedford, MA, USA) following the standard protocol. PC3 cells (2 × 107) were lysed in RIP lysis buffer and the cell lysates incubated, dividing them into two equivalent parts, with either isotype-matched anti-IgG antibody (Millipore) or 5 μg human anti-Argonaute2 (AGO2) antibody (Millipore) with rotation at 4 °C overnight. We added magnetic beads and continued incubation at 4 °C for 1 h. We immunoprecipitated the samples with proteinase K at 55 °C for 1 h, then treated the complexes of RNA with TRIzol reagent (Life Technologies) for further purification. We utilized purified RNA to detect circMID1 and miR-506-3p expression levels using qRT-PCR.
Western blot analysis
For western blots, in brief, we collected cells from various treatment groups and lysed them in RIPA buffer (Beyotime Biotechnology, Nantong, China) including 1% protease inhibitor (Cell Signaling Technology). The protein concentration was measured using the BCA Protein Assay kit (Beyotime Biotechnology), and total protein (50 μg) was separated using sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE; 10%) and transferred to polyvinylidene difluoride (PVDF) membranes (Millipore). After blocking with 5% skim milk in Tris-buffered saline-Tween (TBST) buffer under room temperature for 1 h, we incubated the membranes with primary antibody against S100A9, DHX9, QKI, MID1 (1:1000; Abcam, Cambridge, MA, USA), for 1 day at 4 °C, followed by incubation with HRP-conjugated secondary antibody (1:5000; Rockland, Limerick, PA, USA) at room temperature for 1 h. Anti-GAPDH antibody (1:1000; Affinity, Cambridge, MA, USA), β-actin or Hsp70 (1:1000; Abcam) measured GAPDH, β-actin or Hsp70 as protein loading controls. We visualized the blots using a chemiluminescent reaction system (ECL; Beyotime, Shanghai, China).
Mouse xenograft model assays
All male BALB/c (nu/nu) mice were purchased from the Laboratory Animal Center of Zhejiang University. Animals were maintained in standard conditions with water and food provided ad libitum. The Institutional Animal Care and Use Committee at of the Second Affiliated Hospital in Zhejiang University approved the animal studies. For xenograft animal assays, 4 ~ 6-week-old BALB/c nude mice were injected subcutaneously with a total of 5 × 106 cells into the right flank (five mice per group). We measured the tumor size every 5 days for 1 month, and the volume was determined using the formula: volume = (length × width2) × 0.5. After 1 month, we euthanized the mice by carbon dioxide asphyxiation and removed the tumors and weighed them. Finally, the tumor tissues were immediately flash-frozen in liquid nitrogen and stored at − 80 °C until analysis.
Immunohistochemistry (IHC) staining
The tumors were resected and fixed in 4% paraformaldehyde, embedded with paraffin, and cut into 5 μm sections. The slices were dewaxed with xylene and dehydrated in graded ethanol, followed by blocking endogenous peroxidase with 3% hydrogen peroxide. After antigen retrieval, the sections were incubated with primary antibodies against MMP-2 (1:1000; Abcam, Cambridge, UK) or Ki67 (1:1000; Abcam) overnight at 4 °C. Then, the slides were incubated with horseradish peroxidase-labeled secondary antibody (1:1000, Abcam) for 1 h. The slides were developed with a diaminobenzidine (DAB) detection kit (Dako Cytomation, Glustrop, Denmark). After being counterstained with hematoxylin, the samples were observed using a light microscope (Olympus, Tokyo, Japan).
Data are denoted as the mean ± standard deviation (SD). Student’s t-test was used to compare two groups. Comparisons of data among multiple groups were analyzed using one-way analysis of variance (ANOVA), followed by Bonferroni post hoc test. We calculated correlations through Pearson's correlation. P-values < 0.05 indicated a statistical significance. We performed all experiments at least in triplicate.
Expression profiles of circRNAs in PC3 cells treated with exosomes derived from myeloid-derived suppressor cells
To determine the role and molecular mechanisms underlying MDSC-Exo in PCa progression, PC3 cells were co-cultured with MDSC-Exo or control-PBS and then PC3 cells were collected for their circRNA profiles analysis by using circRNA microarrays. We detected a total of 4248 circRNAs. Among them, 90 circRNAs were differentially expressed (fold-changes > 2.0; P < 0.05 and FDR < 0.05) between MDSC-Exo-PC3 cells and control-PBS-PC3 cells (Fig. 1A). Of the 90 circRNAs, 12 circRNAs were upregulated and 78 were downregulated in MDSC-Exo-PC3 cells compared with controls. To further evaluate the microarray data, we selected the four most upregulated and four most downregulated circRNAs to confirm their expressions in PC3 cells with different treatments by using qRT-PCR (Fig. 1B, C). The hsa_circ_0007718 was the top upregulated circRNA in MDSC-Exo-PC3 cells. By browsing the hg19/GRCh37 reference genome, hsa_circ_0007718, located at chrX:10491131–10535643, was assumed to derive from the MID1 gene (midline 1), which is located on chromosome Xp22.2. In this manner, we termed hsa_circ_0007718 as “circMID1.”
To confirm that circMID1 was differentially expressed in PCa, we examined prostatectomy specimens of PCa patients and benign prostatic hyperplasia (BPH) using qRT-PCR. We discovered that the circMID1 expression was significantly higher in PCa compared to BPH tissues (p < 0.01, Fig. 1D). The circMID1 expression was also higher in CRPC patients compared to HSPC patients (p = 0.008, Fig. 1E). In summary, the results suggested that circMID1 upregulation might be relevant to PCa progression.
CircMID1 deficiency inhibited myeloid-derived suppressor cells (MDSC)-exosome (Exo)-treated PC3 cell proliferation, invasion, and migration
Because circMID1 was upregulated in MDSC-Exo-PC3 cells, we utilized RNA interference to knockdown circMID1 expression and validate its biological mechanisms during MDSC-Exo-regulated CRPC propagation. The qRT-PCR analyses showed that circMID1 expression in the PC3 cell lines was successfully inhibited by siRNAs (Fig. 2A). In vitro investigations showed that MDSC-Exo promoted the PC3 cell migration, proliferation, and invasion (Fig. 2B–D). However, CCK-8 assays detected that circMID1 downregulation significantly suppressed PC3 cell proliferation induced by MDSC-Exo (Fig. 2B). Next, we assessed the circMID1 role in prostate cancer migration and invasion using Transwell assays. The circMID1 knockdown inhibited PC3 cell invasion and migration induced by MDSC-Exo (Fig. 2C, D).
Exosomal S100A9 from MDSC promoted circMID1 expression in PC3 cells
We next investigated the underlying mechanism of the circMID1 increase in PC3 cells. The proinflammatory protein, S100A9, was previously shown to be abundant in MDSC-shed exosomes and to have a chemotactic function for MDSCs . As shown in Fig. 3A, abundant S100A9 protein was detected in MDSC-Exo. Then, S100A9 expression was knocked down in MDSCs using siRNA. MDSC-Exosi-S100A9, which had a lower expression of S100A9 in exosomes, was isolated and purified (Fig. 3B). The knockdown of S100A9 significantly reduced circMID1 expression levels in MDSC-Exo-treated PC3 and DU145 cells (Fig. 3C). As RNA binding proteins (RBPs) are necessary for circRNA , we then examined whether RBPs DHX9 and QKI, which regulate the biogenesis of a number of circRNAs [29, 30], were responsible for circMID1 biogenesis. The knockdown of S100A9 significantly increased DHX9 protein expression levels in MDSC-Exo-treated PC3 and DU145 cells (Fig. 3D). DHX9 is a well-known RNA helicase that can interact with inverted Alu repeats (IARs) to decrease the expression of a subset of circRNAs . Abundant IARs are found within the MID gene locus, some of which are located around exons 7 to 8 (Fig. 3E). The results confirmed that circMID1 abundance increased after silencing DHX9 (Fig. 3F, G), suggesting that DHX9 could be a potential regulator.
Additionally, to study the internalization of MDSC-derived exosome S100A9 by PCa cells, MDSC-Exo was labeled with carboxyfluorescin diacetate succinimidyl ester (CFSE) fluorescent dye. The uptake of MDSC-Exo S100A9 was observed using a confocal microscope. We found that CFSE-labeled exosomes were localized in the cytoplasm, the uptake of CFSE exosomes by PCa cells was evident at 48 h, suggesting that the number of CFSE exosomes absorbed by PC3 and DU145 cells was observed, but not in the control cells treated with free CFSE dye or incubated unlabeled exosomes (Fig. 3H). The S100A9 levels in PC3 cells after 48 h incubation with CFSE exosomes was then detected (Fig. 3I), indicating that S100A9 was highly expressed in MDSC-Exo-treated PC3 and DU145 cells.
CircMID1 functioned as a miR-506-3p sponge
To investigate the potential miRNAs associated with circMID1, the possible binding partners of circMID1 were predicted by bioinformatics analyses using two databases in the public domain: STARBASE version 3.0 and CIRCBASE. Bioinformatics data demonstrated that circMID1 interacted with several miRNAs including miR-27a-3p, miR-513b-5p, miR-888-5p, miR-320, miR-22-3p, miR-506-3p, miR-124-3p and so on. The luciferase reporter vector including the circMID1 sequence was constructed, which was transfected with various miRNA mimics into HEK293 cells. The results showed that miR-506-3p exclusively and significantly reduced fluorescein intensity (Fig. 4A). circMID1 had a binding site for miR-506-3p (Fig. 4B), suggesting that circMID1 had a stable interaction with miR-506-3p. Therefore, we conducted dual-luciferase reporter assays to determine whether miR-506-3p functioned as a circMID1 target in PCa cells. The luciferase activity was markedly reduced as cells were co-transfected with luciferase reporters, circMID1-WT and miR-506-3p mimics, meanwhile, co-transfection with mutated luciferase reporter circMID1-MUT and miR-506-3p mimics did not significantly affect luciferase activity in PC3 and DU145 cells (Fig. 4C). Previous results suggested that Argonaute 2 (Ago2) protein binds with miRNAs and circRNAs to form an RNA-induced silencing complex. We therefore performed RNA immunoprecipitation (RIP) assays to pull down RNA transcripts bound to Ago2 in PC3 cells. We found that miR-506-5p and circMID1 were pulled down efficiently by anti-Ago2, but not by the nonspecific anti-IgG antibody (Fig. 4D). Subsequently, we verified the circMID1 effect on PCa cell miR-506-3p expression. Knockdown results showed that si-circMID1 upregulated miR-506-3p expression in PC3 and DU145 cells without or with MDCS-Exo treatment (Fig. 4E). To further validate the direct binding between circMID1 and miR-506-3p, we performed MS2bp-MS2bs based RIP assay in PC3 cells. As shown in Fig. 4F, miR-506-3p was significantly enriched in RNAs retrieved from MS2bs-circMID1 compared with that from MS2bs-circMID1mt or control MS2bs-Rluc, indicating the specific interaction between circMID1 and miR-506-3p. Moreover, the miR-506-3p expression levels in the PCa samples were significantly lower than that of BPH tissues (Fig. 4G), and miR-506-5p was negatively associated with circMID1 in PCa tissues (Fig. 4H). The results agreed with the observed circMID1 overexpression in PCa and demonstrated that circMID1 was a miR-506-3p sponge in PCa.
CircMID1 and MID1 functioned as ceRNAs in PCa through miR-506-3p regulation
To detect if circMID1 acted as a ceRNA to liberate the MID1 expression and sequester miR-506-3p, we then characterized MID1 expression in PCa tissues. The data verified that MID1 was upregulated in PCa tissues (Fig. 5A). Pearson’s correlation illustrated that MID1 was negatively correlated with miR-506-3p and positively correlated with circMID1 (Fig. 5B, C). In addition, we employed TargetScan to indicate the miR-506-3p putative target genes, which showed that MID1 was predicted (Fig. 5D). To verify this finding, we performed luciferase reporter assays, which showed that luciferase activity decreased significantly when being co-transfected with miR-506-3p mimics and a luciferase reporter containing WT MID1 3′-UTR, but not with a mutant luciferase reporter in PC3 and DU145 cells (Fig. 5E). Western blotting and qRT-PCR verified that MID1 protein and mRNA expression levels were decreased by miR-506-3p mimics and increased with miR-506-3p depletion by its antagomir in PC3 and DU145 cells (Fig. 5F, G). Together, these results suggested that MID1 was a direct miR-506-3p target, which might also sequester miR-506-3p.
We then characterized circMID1 expression after MID1 knockdown and found circMID1 repression (Fig. 5H). To validate if MID1 acted as a ceRNA, we co-transfected si-MID1 and miR-506-3p inhibitors and discovered that circMID1 repression was reversed in PC3 and DU145 cells (Fig. 5H). We then detected MID1 mRNA and protein expressions after circMID1 knockdown and observed reduced expression of both. The expression was reversed after co-transfection with miR-506-3p inhibitors in PC3 and DU145 cells (Fig. 5I, J). These data suggested that MID1 and circMID1 functioned as ceRNAs by harboring miR-506-3p.
MDSC-Exo promoted prostate cancer cell proliferation, invasion, and migration by modulating S100A9/circMID1/miR-506-3p/MID1 signaling
To determine the effects of the circMID1/miR-506-3p/MID1 pathway on MDSC-Exo-regulated CRPC propagation, the circRNA-miRNA-mRNA axis was blocked or overexpressed through knockdown in PC3 cells treated with MDSC-Exo, and then analyzed by conducting functional assays. Data demonstrated that circMID1 knockdown or miR-506-3p overexpression or MID1 knockdown inhibited the proliferation, invasion, and migration of MDSC-Exo-treated PC3 cells, while miR-506-3p inhibition or MID1 overexpression rescued the circMID1-deficient or miR-506-3p-overexpressed cell proliferation, invasion, and migration defects after treatment with MDSC-Exo (Fig. 6A, B). In addition, we found that knockdown of S100A9 significantly increased the miR-506-3p levels and reduced MID1 expression levels in MDSC-Exo-treated PC3 cells (Fig. 6C). In MID1-overexpressed PC3 cells, the circMID1 expression levels were increased and the miR-506-3p levels reduced (Fig. 6D). The knockdown of S100A9 inhibited MDSC-Exo-treated PC3 cell proliferation, migration, and invasion, while circMID1 overexpression or miR-506-3p inhibition or MID1 overexpression rescued the inhibition effect of S100A9 knockdown (Fig. 6E, F). Moreover, we also found that in MDSC-Exo-treated DU145 cells the circMID1 and MID1 expression levels were increased and the miR-506-3p levels were reduced, while knockdown of S100A9 significantly increased the miR-506-3p levels and reduced circMID1 and MID1 expression levels (Additional file 2: Fig. S2A). The circMID1 knockdown or miR-506-3p overexpression or MID1 knockdown inhibited the proliferation, invasion, and migration of MDSC-Exo-treated DU145 cells (Additional file 2: Fig. S2B and S2D). The knockdown of S100A9 inhibited MDSC-Exo-treated DU145 cell proliferation, migration, and invasion, while circMID1 overexpression or miR-506-3p inhibition or MID1 overexpression rescued the inhibition effect of S100A9 knockdown (Additional file 2: Fig. S2C and S2E). Thus, the results showed that MDSC-Exo promoted prostate cancer cell migration, proliferation, and invasion through S100A9/circMID1/miR-506-3p/MID1 signaling.
CircMID1 deficiency inhibited MDSC-Exo-induced prostate cancer growth in vivo
Based on the previous results, the role of MDSC-Exo and circMID1 in PC3 tumor growth in vivo was evaluated by xenograft nude mice tumor formation assays. Nude mice were injected with control or MDSC-Exo-treated PC3 cells, or MDSC-Exo-PC3 cells transfected with si-control or si-circMID1, and tumor growth was measured. We found that MDSC-Exo promoted tumor growth, whereas knockdown of circMID1 caused a significant decrease in tumor growth (Fig. 7A–C). MDSC-Exo-upregulated circMID1 and MID1 expressions were inhibited by si-circMID1 in tumor tissues, while downregulated miR-506-3p expression was increased by si-circMID1 (Fig. 7D). Furthermore, immunohistochemical staining was carried out to determine the expression of the proliferation marker Ki67 and the invasion-associated factor MMP-2. The expression of Ki67 and MMP-2 in the Exo group was significantly increased compared to that in the control group; in comparison with the Exo group, the expression of Ki67 and MMP-2 in the Exo-sh-circMID1 group was significantly decreased (Fig. 7E, F). Together, these results indicated that silencing circMID1 inhibited the promotional effects of MDSC-Exo on prostate cancer growth via regulating signaling of miR-506-3p/MID1.
Evidence suggests that crosstalk between cancer cells and MDSCs induces cancer progression [31, 32]. MDSC-derived exosomes are found to function as intercellular messengers. Studies have analyzed the Exo activities derived from MDSCs under tumor environments [27, 33], but the underlying mechanisms remain poorly characterized. Our results showed, in agreement with previous findings of unbiased mass spectrometry analyses , that S100A9 was abundant in MDSC-Exo. Furthermore, the knockdown of S100A9 inhibited MDSC-Exo-treated PC3 cell migration, proliferation, and invasion. It has been reported that MDSC-derived Exos polarized macrophages to a phenotype that promoted tumor progression, and possessed S100A8/A9 chemotactic activity [27, 33], which suggested that MDSC shed exosomes, which functioned as communicators in the tumor microenvironment. Following ADT, most PCa develops into CRPC, which is a major clinical problem because the recurrent disease does not respond well to alternative therapies. Therefore, identification of the molecular mechanisms of androgen-independent signalling pathways using current genomic approaches would help to improve therapies for this disease.
So, the androgen independent PCa cell lines PC3 and DU145 were choose in this study. However, this can be a limitation. The existing research for understanding of this mechanism of PCa progression is not comprehensive due to lack of available data from one androgen dependent PCa cell line. This research analyzed the circRNA expression profiles in MDSC-Exo-PC3 cells compared with control cells by microarray analyses, and focused on the role and underlying mechanism of the increased circMID1 expression in MDSC-Exo-regulated CRPC progression. Collectively, our results suggested that exosome-mediated transfer of S100A9 from MDSCs to PCa cells promoted proliferation, migration, and invasion of PCa cells via upregulation of circMID1, ultimately accelerating the progression of CRPC.
CircRNAs, as a novel class of noncoding RNAs, are known to participate in cancer progression [34, 35]. Studies have shown that circAMOTL1L is downregulated in human PCa, and this downregulation promotes PCa cell migration and invasion, which leads to the epithelial–mesenchymal transition and PCa progression . Huang et al. found that circABCC4 was upregulated in PCa cell lines and tissues, and facilitated PCa malignant behavior by promoting FOXP4 expression through miR-1182 sponging . While the biological function and expression of circRNAs in CRPC are poorly understood, current studies have identified that circMID1 was upregulated in PC3 cells treated with Exos from MDSCs. Moreover, higher expression of circMID1 was found in PCa compared with BPH tissues and in CRPC patients compared with HSPC patients. Subsequent studies showed that circMID1 knockdown decreased cell proliferation and inhibited PC3 cell invasion and migration with MDSC-Exo. We further verified tumor growth in a mouse xenograft model. These findings supported the concept that increased circMID1 expression caused by MDSC-Exo might exert functional roles in the regulation of CRPC progression. Ding Y and coworkers have recently documented that the circMID1 is upregulated in PCa cells and that its knockdown inhibits PCa cell proliferation, migration, invasion in vitro, as well as PCa tumorigenesis in vivo , which is consistent with our findings. However, our study also has a limitation. Because we performed bioinformatics analysis to screen out circMID1 only using the two samples and there is a big variability between the two control samples, other important circRNAs may be ignored.
This study showed that circMID1 expression was decreased while DHX9 expression was increased in PC3 cells treated with S100A9-silenced MDSC-Exo. DHX9, an abundant nuclear RNA helicase, binds specifically to IARs, and loss of DHX9 increases the formation of a subclass of circRNAs [29, 39]. Alu elements are well-known retrotransposons, members of the short interspersed nuclear element (SINE) family of repetitive elements, and IARs around exons promote circRNA formation [40, 41]. We found that multiple IARs were located within the MID1 gene, some of which were around exons 7 to 8, where circMID1 was formed. CircMID1 expression was further elevated by silencing DHX9, suggesting that DHX9 affected the circularization of the MID1 gene in an Alu element-dependent manner.
The circRNA-miRNA-mRNA axis is an indispensable regulatory model and circRNAs could function as ceRNAs by regulating miRNAs to play a critical role in transcriptional control [22, 42]. Based on bioinformatics analyses, it was assumed that the circMID1/miR-506-3p/MID1 axis functioned essentially in MDSC-Exo-regulated CRPC progression. Bioinformatics analyses and luciferase reporter assays indicated that circMID1 sponged miR-506-3p, and MID1 was the miR-506-3p target. Cytological functional experiments validated that circMID1 and miR-506-3p could reverse the effects on the cell phenotype. A miR-506-3p antagomir could rescue biological alterations induced by circMID1 silencing. Specifically, we showed mechanistically that circMID1 was involved in MDSC-Exo-regulated CRPC progression by acting as a miR-506-3p sponge. However, circMID1 may also interact with other miRNAs according to bioinformatics analysis. Thus, whether other miRNAs have a role in circMID1-regulated tumorigenesis needs to be investigated in the future.
The upregulated circMID1 was accompanied by downregulated miR-506-3p and upregulated MID1 in PCa tissues. Studies have verified that MID1 is overexpressed in PCa in a stage-dependent manner, and AR is promoted by sustained MID1 upregulation in ADT, causing PCa progression into castration resistance . In this study, MID1 was overexpressed in PCa, and miR-506-3p bound to MID1 and inhibited MID expression in PC3 cells. The circMID1 regulated MID1 expression by sponging miR-506-3p because miR-506-3p inhibition released the inhibitory effect of circMID1 deficiency upon MID1 expression. The circRNA enhanced PCa progression through MID1 because MID1 overexpression rescued the progression defect mediated by circMID1 deficiency in MDSC-Exo-PC3 cells. Furthermore, circMID1 overexpression or miR-506-3p inhibition or MID1 overexpression rescued the inhibitory effect of S100A9-knockdown MDSC-Exo on PC3 and DU145 cells. Thus, the study validated that a S100A9/circMID1/miR-506-3p/MID1 axis existed in MDSC-Exo-regulated CRPC progression.
In conclusion, our data suggested that circMID1 was upregulated in MDSC-Exo-regulated CRPC progression, and that circMID1 knockdown inhibited growth and prostate cancer cell invasion and migration, with MDSC-Exo. The identification of the novel alteration in circRNAs expression is the first key step toward the better understanding of the role of circRNAs in CRPC. Then, deciphering the exact molecular mechanisms of circRNA function will be critical for understanding CRPC progression and developing new potential therapeutic targets. Exosomal S100A9 from MDSC promoted circMID1 expression in PC3 cells, and the circMID1 acted as a ceRNA to regulate MID1 expression through miR-506-3p (Fig. 8). We discovered an essential S100A9/circMID1-miR-506-3p-MID1 axis in MDSC-Exo-regulated CRPC progression and found a critical function of circRNAs in disease progression.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Castration-resistant prostate cancer
Myeloid-derived suppressor cells
Benign prostatic hyperplasia
Hormone sensitive prostate cancer
Glyceraldehyde 3-phosphate dehydrogenase
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69:7–34.
Katzenwadel A, Wolf P. Androgen deprivation of prostate cancer: Leading to a therapeutic dead end. Cancer Lett. 2015;367:12–7.
Nuhn P, De Bono JS, Fizazi K, Freedland SJ, Grilli M, Kantoff PW, Sonpavde G, Sternberg CN, Yegnasubramanian S, Antonarakis ES. Update on systemic prostate cancer therapies: management of metastatic castration-resistant prostate cancer in the era of precision oncology. Eur Urol. 2019;75:88–99.
Sartor O, de Bono JS. Metastatic prostate cancer. N Engl J Med. 2018;378:645–57.
Watson PA, Arora VK, Sawyers CL. Emerging mechanisms of resistance to androgen receptor inhibitors in prostate cancer. Nat Rev Cancer. 2015;15:701–11.
Calcinotto A, Spataro C, Zagato E, Di Mitri D, Gil V, Crespo M, De Bernardis G, Losa M, Mirenda M, Pasquini E, Rinaldi A, Sumanasuriya S, Lambros MB, Neeb A, Luciano R, Bravi CA, Nava-Rodrigues D, Dolling D, Prayer-Galetti T, Ferreira A, Briganti A, Esposito A, Barry S, Yuan W, Sharp A, de Bono J, Alimonti A. IL-23 secreted by myeloid cells drives castration-resistant prostate cancer. Nature. 2018;559:363–9.
Lu X, Horner JW, Paul E, Shang X, Troncoso P, Deng P, Jiang S, Chang Q, Spring DJ, Sharma P, Zebala JA, Maeda DY, Wang YA, DePinho RA. Effective combinatorial immunotherapy for castration-resistant prostate cancer. Nature. 2017;543:728–32.
Hossain DM, Pal SK, Moreira D, Duttagupta P, Zhang Q, Won H, Jones J, D’Apuzzo M, Forman S, Kortylewski M. TLR9-targeted STAT3 silencing abrogates immunosuppressive activity of myeloid-derived suppressor cells from prostate cancer patients. Clin Cancer Res. 2015;21:3771–82.
Idorn M, Kollgaard T, Kongsted P, Sengelov L, Thor Straten P. Correlation between frequencies of blood monocytic myeloid-derived suppressor cells, regulatory T cells and negative prognostic markers in patients with castration-resistant metastatic prostate cancer. Cancer Immunol Immunother. 2014;63:1177–87.
Ostrand-Rosenberg S. Myeloid-derived suppressor cells: more mechanisms for inhibiting antitumor immunity. Cancer Immunol Immunother. 2010;59:1593–600.
Murdoch C, Muthana M, Coffelt SB, Lewis CE. The role of myeloid cells in the promotion of tumour angiogenesis. Nat Rev Cancer. 2008;8:618–31.
Camisaschi C, Vallacchi V, Vergani E, Tazzari M, Ferro S, Tuccitto A, Kuchuk O, Shahaj E, Sulsenti R, Castelli C, Rodolfo M, Rivoltini L, Huber V. Targeting immune regulatory networks to counteract immune suppression in cancer. Vaccines. 2016;4:38.
Greening DW, Gopal SK, Xu R, Simpson RJ, Chen W. Exosomes and their roles in immune regulation and cancer. Semin Cell Dev Biol. 2015;40:72–81.
Geis-Asteggiante L, Dhabaria A, Edwards N, Ostrand-Rosenberg S, Fenselau C. Top-down analysis of low mass proteins in exosomes shed by murine myeloid-derived suppressor cells. Int J Mass Spectrom. 2015;378:264–9.
Deng Z, Rong Y, Teng Y, Zhuang X, Samykutty A, Mu J, Zhang L, Cao P, Yan J, Miller D, Zhang HG. Exosomes miR-126a released from MDSC induced by DOX treatment promotes lung metastasis. Oncogene. 2017;36:639–51.
Iaccino E, Mimmi S, Dattilo V, Marino F, Candeloro P, Di Loria A, Marimpietri D, Pisano A, Albano F, Vecchio E, Ceglia S, Golino G, Lupia A, Fiume G, Quinto I, Scala G. Monitoring multiple myeloma by idiotype-specific peptide binders of tumor-derived exosomes. Mol Cancer. 2017;16:159.
Li W, Li C, Zhou T, Liu X, Liu X, Li X, Chen D. Role of exosomal proteins in cancer diagnosis. Mol Cancer. 2017;16:145.
Maisano D, Mimmi S, Russo R, Fioravanti A, Fiume G, Vecchio E, Nistico N, Quinto I, Iaccino E. Uncovering the exosomes diversity: a window of opportunity for tumor progression monitoring. Pharmaceuticals. 2020;13:180.
Rashid MH, Borin TF, Ara R, Angara K, Cai J, Achyut BR, Liu Y, Arbab AS. Differential in vivo biodistribution of (131)I-labeled exosomes from diverse cellular origins and its implication for theranostic application. Nanomedicine. 2019;21: 102072.
Kristensen LS, Hansen TB, Veno MT, Kjems J. Circular RNAs in cancer: opportunities and challenges in the field. Oncogene. 2018;37:555–65.
Vo JN, Cieslik M, Zhang Y, Shukla S, Xiao L, Zhang Y, Wu YM, Dhanasekaran SM, Engelke CG, Cao X, Robinson DR, Nesvizhskii AI, Chinnaiyan AM. The landscape of circular RNA in cancer. Cell. 2019;176(869–881): e13.
Hansen TB, Jensen TI, Clausen BH, Bramsen JB, Finsen B, Damgaard CK, Kjems J. Natural RNA circles function as efficient microRNA sponges. Nature. 2013;495:384–8.
Cao S, Ma T, Ungerleider N, Roberts C, Kobelski M, Jin L, Concha M, Wang X, Baddoo M, Nguyen HM, Corey E, Fazli L, Ledet E, Zhang R, Silberstein JL, Zhang W, Zhang K, Sartor O, Dong X, Flemington EK, Dong Y. Circular RNAs add diversity to androgen receptor isoform repertoire in castration-resistant prostate cancer. Oncogene. 2019;38:7060–72.
Wu G, Sun Y, Xiang Z, Wang K, Liu B, Xiao G, Niu Y, Wu D, Chang C. Preclinical study using circular RNA 17 and micro RNA 181c–5p to suppress the enzalutamide-resistant prostate cancer progression. Cell Death Dis. 2019;10:37.
Bronte V, Brandau S, Chen SH, Colombo MP, Frey AB, Greten TF, Mandruzzato S, Murray PJ, Ochoa A, Ostrand-Rosenberg S, Rodriguez PC, Sica A, Umansky V, Vonderheide RH, Gabrilovich DI. Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards. Nat Commun. 2016;7:12150.
Escrevente C, Keller S, Altevogt P, Costa J. Interaction and uptake of exosomes by ovarian cancer cells. BMC Cancer. 2011;11:108.
Burke M, Choksawangkarn W, Edwards N, Ostrand-Rosenberg S, Fenselau C. Exosomes from myeloid-derived suppressor cells carry biologically active proteins. J Proteome Res. 2014;13:836–43.
Li X, Yang L, Chen LL. The biogenesis, functions, and challenges of circular RNAs. Mol Cell. 2018;71:428–42.
Aktas T, Avsar Ilik I, Maticzka D, Bhardwaj V, Pessoa Rodrigues C, Mittler G, Manke T, Backofen R, Akhtar A. DHX9 suppresses RNA processing defects originating from the Alu invasion of the human genome. Nature. 2017;544:115–9.
Conn SJ, Pillman KA, Toubia J, Conn VM, Salmanidis M, Phillips CA, Roslan S, Schreiber AW, Gregory PA, Goodall GJ. The RNA binding protein quaking regulates formation of circRNAs. Cell. 2015;160:1125–34.
Limagne E, Euvrard R, Thibaudin M, Rebe C, Derangere V, Chevriaux A, Boidot R, Vegran F, Bonnefoy N, Vincent J, Bengrine-Lefevre L, Ladoire S, Delmas D, Apetoh L, Ghiringhelli F. Accumulation of MDSC and Th17 cells in patients with metastatic colorectal cancer predicts the efficacy of a FOLFOX-bevacizumab drug treatment regimen. Cancer Res. 2016;76:5241–52.
Panni RZ, Sanford DE, Belt BA, Mitchem JB, Worley LA, Goetz BD, Mukherjee P, Wang-Gillam A, Link DC, Denardo DG, Goedegebuure SP, Linehan DC. Tumor-induced STAT3 activation in monocytic myeloid-derived suppressor cells enhances stemness and mesenchymal properties in human pancreatic cancer. Cancer Immunol Immunother. 2014;63:513–28.
Wang Y, Yin K, Tian J, Xia X, Ma J, Tang X, Xu H, Wang S. Granulocytic myeloid-derived suppressor cells promote the stemness of colorectal cancer cells through exosomal S100A9. Adv Sci. 2019;6:1901278.
Arnaiz E, Sole C, Manterola L, Iparraguirre L, Otaegui D, Lawrie CH. CircRNAs and cancer: biomarkers and master regulators. Semin Cancer Biol. 2019;58:90–9.
Su M, Xiao Y, Ma J, Tang Y, Tian B, Zhang Y, Li X, Wu Z, Yang D, Zhou Y, Wang H, Liao Q, Wang W. Circular RNAs in Cancer: emerging functions in hallmarks, stemness, resistance and roles as potential biomarkers. Mol Cancer. 2019;18:90.
Yang Z, Qu CB, Zhang Y, Zhang WF, Wang DD, Gao CC, Ma L, Chen JS, Liu KL, Zheng B, Zhang XH, Zhang ML, Wang XL, Wen JK, Li W. Dysregulation of p53-RBM25-mediated circAMOTL1L biogenesis contributes to prostate cancer progression through the circAMOTL1L-miR-193a-5p-Pcdha pathway. Oncogene. 2019;38:2516–32.
Huang C, Deng H, Wang Y, Jiang H, Xu R, Zhu X, Huang Z, Zhao X. Circular RNA circABCC4 as the ceRNA of miR-1182 facilitates prostate cancer progression by promoting FOXP4 expression. J Cell Mol Med. 2019;23:6112–9.
Ding Y, Wang M, Yang J. Circular RNA midline-1 (circMID1) promotes proliferation, migration, invasion and glycolysis in prostate cancer. Bioengineered. 2022;13:6293–308.
Ottesen EW, Luo D, Seo J, Singh NN, Singh RN. Human survival motor neuron genes generate a vast repertoire of circular RNAs. Nucleic Acids Res. 2019;47:2884–905.
Jeck WR, Sorrentino JA, Wang K, Slevin MK, Burd CE, Liu J, Marzluff WF, Sharpless NE. Circular RNAs are abundant, conserved, and associated with ALU repeats. RNA. 2013;19:141–57.
Zhang XO, Wang HB, Zhang Y, Lu X, Chen LL, Yang L. Complementary sequence-mediated exon circularization. Cell. 2014;159:134–47.
Patop IL, Wust S, Kadener S. Past, present, and future of circRNAs. EMBO J. 2019;38: e100836.
Kohler A, Demir U, Kickstein E, Krauss S, Aigner J, Aranda-Orgilles B, Karagiannidis AI, Achmuller C, Bu H, Wunderlich A, Schweiger MR, Schaefer G, Schweiger S, Klocker H, Schneider R. A hormone-dependent feedback-loop controls androgen receptor levels by limiting MID1, a novel translation enhancer and promoter of oncogenic signaling. Mol Cancer. 2014;13:146.
The present study was supported by Scientific Research Foundation of Zhejiang Province Traditional Chinese Medicine Administration Bureau (2018ZQ036) and Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province (2020E10021).
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The Ethics Committee of the Hangzhou Hospital of Traditional Chinese Medicine approved this study, and we obtained written consent from each participant prior to the study.
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Identification of MDSC-exosomes. (A) Dot plots representing the gating and sorting strategy of PMN-MDSCs (green box) of PBMCs. (B) Representative transmission electron micrograph of MDSC-Exo (scale bar = 200 nm). (C) The CD9, CD63, Hsp70 and calnexin expression levels of MDSC-Exo were detected by western blotting. (D) Analysis of size and concentration of exosomes by nanoparticle tracking analyzer.
MDSC-Exo promoted DU145 cell proliferation, invasion, and migration by modulating S100A9/circMID1/miR-506-3p/MID1 signaling. (A) Relative expressions of circMID1, miR-506-3p and MID1 in DU145 cells treated with MDSC-Exo or MDSC-Exosi-S100A9. ** P < 0.01, * vs. Exo. (B) DU145 cells were transfected with si-circMID1, miR-506-3p and si-MID1, and then treated with MDSC-Exo. Cell proliferation was measured by the CCK-8 assay in the DU145 cells with different treatments. (C) DU145 cells were transfected with over-circMID1, anti-miR-506-3p and over-MID1, and then treated with MDSC-Exosi−S100A9. Cell proliferation was measured by the CCK-8 assay. (D-E) Cell migration and invasion was evaluated by Transwell assays of these DU145 cells with the indicated treatments. Scale bar, 100 μM. **, ## P < 0.01, * vs. Exo, # vs. Exosi−S100A9. All experiments were conducted at least three times.
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Gao, F., Xu, Q., Tang, Z. et al. Exosomes derived from myeloid-derived suppressor cells facilitate castration-resistant prostate cancer progression via S100A9/circMID1/miR-506-3p/MID1. J Transl Med 20, 346 (2022). https://doi.org/10.1186/s12967-022-03494-5
- Castration-resistant prostate cancer (CRPC)
- Prostate cancer (PCa)
- Myeloid-Derived suppressor cells (MDSCs)
- Circular RNAs (circRNAs)