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Molecular Biology, Pathobiology, and Genetics |
1 Children's Cancer Research Institute, St. Anna Kinderkrebsforschung, Vienna, Austria and 2 Institute of Pathology, Heinrich-Heine University, Duesseldorf, Germany
Requests for reprints: Heinrich Kovar, Children's Cancer Research Institute, St. Anna Kinderkrebsforschung, Kinderspitalgasse 6, A-1090 Vienna, Austria. Phone: 43-1-40470-4090; Fax: 43-1-40470-7150; E-mail: heinrich.kovar{at}ccri.at.
| Abstract |
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| Introduction |
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20%, respectively), although associated with poor outcome (2–5). Similarly, bone marrow–derived mesenchymal progenitor cells, currently the only primary cell type tolerant to the oncogenic stress imposed by ectopic EWS-FLI1 expression, retain wild-type p53 (wt-p53) upon transformation with the chimeric gene (6). p53 serves an important function as a checkpoint control protein regulating cellular fate in response to different stresses (7). Consistent with the absence of p53-pathway alterations, we have previously shown that wt-p53–expressing ESFT cell lines show largely normal DNA damage signal integration, p53-induced cell cycle arrest, and apoptosis in response to ionizing irradiation (8). However, p53 also plays a surveillance role in protection against activated oncogenes and little is known about mechanisms by which wt-p53–expressing tumors escape oncogenic stress.
We performed EWS-FLI1 gene–silencing experiments in a series of ESFT cell lines to identify pathways that may play a role in the mechanisms of escape from EWS-FLI1–induced oncogenic stress and to better understand deregulated tumor cell growth in the presence of wt-p53 (9). Here, we report on the identification of EWS-FLI1–mediated NOTCH pathway suppression as a mechanism of keeping p53 in check in ESFT.
| Materials and Methods |
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Sequences targeted by previously validated siRNA sequences used in this study were GCAGAACCCTTCTTATGAC for EWS-FLI1–specific EF30 (9, 10), GCTACGGGCAGCAGAGTTC for EWS-FLI1 type 2–specific EF22 (9), CACCCACGTGCCTTCACAC for EF4 targeting the FLI1 3' portion (9), GACTCCAGTGGTAATCTAC for the shRNA against p53 (11), GCTAGAAAAAGCTGAGATC for the HEY1-specific siRNA (12), and CGCCAAATCCTGTAAGAAT for the siRNA against JAG1 (13). For negative control in siRNA transfections, the ON-TARGETplus nontargeting siRNA pool was used (Dharmacon).
SiRNAs against EWS-FLI1 and p53 were expressed as small hairpin (sh) RNAs from pSUPER-based retroviral expression constructs as previously described (9, 11). For negative control, pSTNeg (Ambion; Applied Biosystems) encoding a scrambled shRNA with no significant similarity to human sequences was used.
Expression vectors for the human NOTCH3 intracellular domain (NICD3) and NUMB1 cDNA were kindly provided by M. Bonafé (Dipartimento di Patologica Sperimentale, Bologna, Italy) and K. Brennan (Welcome Trust Centre for Cell Matrix Research, Manchester, UK; ref. 14). Human JAG1 and DLL1 cDNAs were obtained from Dr. I. Alcobia (Institute of Molecular Medicine, Lisbon, Portugal; ref. 15). The pSPORT-based expression construct for human HEY1 was a gift from M.T. Chin (Brigham and Woman's Hospital, Cambridge, MA; ref. 16).
Secretase inhibitor (GSI; ZLeuLeuNleCHO; Calbiochem) was used at a concentration of 1 to 10 µmol/L.
Gene expression analysis by microarray technology. Changes in gene expression profiles upon knockdown of EWSFLI1 were followed on Affymetrix HGU133A arrays (Affymetrix, Inc.). cRNA target synthesis and GeneChip processing were performed according to standard protocols (Affymetrix, Inc.). All further analyses were performed in R statistical environment using Bioconductor packages (17).
CEL files for (a) 5 Ewing Sarcoma cell lines (TC252, SKNMC, STAET7, STAET1, WE68, knockdown and control), (b) expression experiments from 3 different data sets of primary Ewing Sarcoma tumors (n = 5, ref. 18; n = 27, ref. 19; n = 27, ref. 20), and (c) the "Novartis gene expression atlas," which comprises 79 tissues (21) were normalized together using gcrma (22). For each gene, only one probeset was selected for further analysis by the criterion of maximizing the expression variation across arrays.
Cell line data were further filtered by (a) excluding probesets with very low expression by comparison to the probability density distribution of "negative" probesets with no significant EST hits (Bioconductor package panp) and (b) excluding probsets with very small variation (interquartile range <0.3) across the 10 arrays. Then, for each cell line and each gene, ratios of knockdown versus control were calculated, and these five ratios were used as replicas for a moderated one-sample t test, and P values were corrected for multiple testing by the Benjamini-Hochberg method (Bioconductor package limma).
Real-time and quantitative reverse transcription-PCR. RNA samples (1 µg each) were reverse-transcribed using the Moloney murine leukemia virus reverse transcriptase and random hexamers. Ten nanograms of cDNA were used in PCR reactions. β-actin was amplified for 22 cycles, and EWS-FLI1 and HEY1 were amplified for 35 cycles.
For quantitative analysis, cDNA samples were analyzed by Taqman quantitative reverse-transcription PCR (qRT-PCR). Ten nanograms of cDNA were used per reaction, and expression of ACTA2, JAG1, HES1, and HEY1 was calculated as a percentage of β2-microglobulin content. Fold changes upon EWS-FLI1 knockdown for these genes were calculated by dividing their normalized expression levels in knockdown versus control conditions. Primer sequences and PCR reaction conditions are available upon request.
Protein extracts, Western blot, and immunofluorescence analyses. For immunoblot analysis, total proteins were resolved by SDS-PAGE and processed for Western blotting according to standard procedures. For subcellular fractionation experiments, cells were swollen in hypotonic buffer [10 mmol/L Tris (pH 7.5) and 10 mmol/L KCl] including complete protease inhibitor cocktail (Roche) for 10 min on ice before lysis with 0.25% NP40 for 15 min. The cytosolic fraction was separated from the crude nuclear cell pellet by centrifugation. After a second 15-min incubation of the pellet in the hypotonic lysis buffer, nuclei were resuspended in high salt buffer [20 mmol/L Tris (pH 7.5), 400 mmol/L NaCl, 0.5% NP40, 0.3% Triton X100, and protease inhibitors] for 15 min, and the supernatant containing nuclear proteins was collected after centrifugation at 10.000 g for 10 min at 4°C.
The following reagents were used for immunoblot and immunofluorescence studies: The FLI1 monoclonal antibody (mAb) 7.3 was kindly provided by O. Delattre (Institute Curie, Paris, France). P53-specific mAb DO-1 was a gift from B. Vojtesek (Masaryk Memorial Cancer Institute, Brno, Czech Republic). Human p21WAF1/CIP1 mAb F-5, polyclonal antibodies to Jagged1 (H-114), NOTCH 2 (25-255), and NOTCH 3 (M-134) were from Santa Cruz Biotechnology. MAb Ab-1 to smooth muscle
actin protein (ACTA2) was from NeoMarkers (LabVision), to Ser 15-phospho-p53 from Cell Signaling Technologies, to
-tubulin (DM1A) from Calbiochem, to β-actin from Abcam, to lamin A from Santa Cruz Biotechnology, and the polyclonal antibody to PARP was from Boehringer Mannheim.
For subcellular localization studies of p53 protein, cells were washed twice with PBS, fixed for 2 min in acetone/methanol (1:1) solution at –20°C, rehydrated in PBS, and incubated with DO1 antibody for 1 h at room temperature, followed by FITC-labeled second step antibody incubation.
Cell proliferation assay. Cell proliferation was quantified by measuring DNA synthesis using the Click-iT EdU CellCycle 633-red flow cytometry assay kit (Molecular Probes). Cells were incubated with the thymidine analogue 5-ethynyl-2'-deoxyuridine (EdU; 10 µmol/L) for 45 min and processed for flow cytometry according to the manufacturer's instructions. DNA counter staining was achieved with CellCycle 405-blue (Molecular Probes, Invitrogen). Flow cytometry was performed on a LSR2 flow cytometer (Becton Dickinson) with excitation at 633 and 405 nm. The proportion of S-phase cells was calculated relative to the total number of vital cells.
Gene reporter assays. Sequences that span from –1700 to –1 and from –574 to –1 relative of JAG1 gene start site were amplified by PCR from human genomic DNA and cloned into firefly luciferase–containing pGL4.10 vector (Promega). Cells were transfected with either –1700/-1-JAG1.Luc, -574/-1-JAG1.Luc, or thymidine kinase promoter–driven firefly luciferase (TKp.Luc), along with thymidine kinase promoter–driven renilla luciferase (TKp.rhL) for transfection efficiency normalization purposes. Cells were harvested 96 h posttransfection, and gene reporter assays were carried out with the Dual Glo Luciferase assay kit (Promega).
| Results |
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Gene expression profiling performed in five of the cell lines identified a p53 signature upon silencing of EWS-FLI1 in the wt-p53 but not in the mt-p53 ESFT cell lines, with strong transcriptional expression of p21WAF1/CIP1 (data not shown). This result suggested activation of a p53 response when EWS-FLI1 was down-modulated. Because p53 RNA levels were not affected by silencing of EWS-FLI1 (data not shown), we tested for p53 protein expression. ShRNA-mediated down-modulation of EWS-FLI1 resulted in a marked increase in p53 and Ser 15–phosphorylated p53 levels associated with p21WAF1/CIP1 induction in all four wt-p53 ESFT cell lines. In contrast, in the cell line STA-ET-7.2 expressing high levels of mutant p53, and in SK-N-MC cells lacking p53 due to a truncation mutation, p21WAF1/CIP1 protein levels remained undetectable (Fig. 1A). This result suggested that p21WAF1/CIP1 induction in response to EWS-FLI1 silencing was the consequence of activated p53. As shown in TC252 cells, the increase in Ser 15–phosphorylated p53 and in p21WAF1/CIP1 proteins was only seen with EWS-FLI1–silencing shRNAs (EF30 and EF4) but not with mismatched shRNA (EF22) or negative control shRNA excluding a nonspecific induction mechanism by shRNA treatment (Fig. 1B).
p53 and p21WAF1/CIP1 induction by EWS-FLI1 silencing in wild-type p53 ESFT cells is driven by HEY1 gene expression. Affymetrix gene expression profiling in wt-p53 ESFT cell lines suggested that among genes previously reported to encode positive modulators of p53 (23), HEY1, encoding a member of the hairy enhancer of split-related transcription factor family, was strongly induced after RNAi-mediated silencing of EWS-FLI1 (data not shown). Because none of three tested commercially available HEY1 antibodies was sufficiently sensitive and specific to detect the protein on Western blots, HEY1 induction was confirmed by conventional (Fig. 1C) and qRT-PCR (see below).
Next, we tested if HEY1 induction was involved in p53 and subsequent p21WAF1/CIP1 induction in EWS-FLI1–silenced ESFT cells. Cotransfection of a previously validated siRNA against HEY1 (12), but not of control siRNA, with EF30 into TC252 cells reduced p53 and p21WAF1/CIP1 protein to basal levels (Fig. 2A ). Conversely, ectopic expression of a HEY1 cDNA in TC252 cells was sufficient to induce nuclear p53 accumulation similar to EWS-FLI1 silencing (Fig. 2B). P53 accumulation was accompanied by p21WAF1/CIP1 induction, which was reduced by coexpression of shRNA to p53 (Fig. 2C). Together, these results implicate HEY1 in p53 accumulation and p21WAF1/CIP1 expression in response to EWS-FLI1 silencing. In contrast to EWS-FLI1 silencing; however, HEY1 did not result in Ser 15 phosphorylation of p53 (Fig. 2C), suggesting additional mechanisms involved into p53 modification in response to EWS-FLI1 silencing.
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EWS-FLI1 silencing results in NOTCH pathway activation. HEY1 is a well-known effector of NOTCH signaling (25). Upon ligand binding, NOTCH receptors are sequentially processed by the ADAM metallopeptidase TACE and
secretase, releasing the NOTCH intracellular domain (NICD) into the cytoplasm. NICD translocates to the nucleus where it activates the transcription factor CBF1/CSL, which in turn activates NOTCH target genes, including HEY1. We analyzed the expression of NOTCH pathway components on Affymetrix arrays of 59 primary ESFT (Fig. 3A
) and in the cell lines (Fig. 3B). To be able to compare expression levels from different genes and different data sets, we used the mean expression of each gene in the Novartis gene expression atlas as a baseline (21). Among NOTCH receptors, NOTCH2 and NOTCH3 were mostly expressed above the baseline in both primary tumors and cell lines. Among the ligands, JAG1 was variably expressed but mostly above the baseline in the primary tumors, whereas it was present at only low levels in the cell lines. JAG2 showed baseline expression compared with the gene expression atlas. Interestingly, among the transcriptional effectors, HES1 was predominantly highly expressed in the tumors and the cell lines, whereas HEY1 expression was low in the primary tumors and absent in most cell lines. As a surrogate marker for activated NOTCH signaling, we included the smooth muscle actin gene ACTA2, an established target of CBF1 (26), into our analysis. Although its expression was slightly elevated in the primary tumors, ACTA2 basal levels were low in the cell lines. Upon EWS-FLI1 silencing, however, a statistically significant increase in HEY1 expression (P = 0.04) associated with a marginally significant increase in JAG1 and ACTA2 expression (P = 0.07 each) was observed in the cell lines as a group (Fig. 3B).
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These data suggested that HEY1 activation after silencing of EWS-FLI1 might be the result of NOTCH pathway activation through ligand induction in at least three of the six ESFT cell lines. Because among NOTCH receptors, NOTCH3 was found to be most highly expressed in the ESFT cell lines, we tested for proteolytic processing of the NICD3 in all six ESFT cell lines. Upon EWS-FLI1 down-modulation, a remarkable increase in the
80-kDa NICD3 band intensity was observed in all ESFT cell lines but STA-ET-7.2, which had shown the lowest increase in HEY1 expression (Fig. 4A
). In STA-ET-1 cells, NICD3 was already detectable in the absence of EWS-FLI1 silencing, consistent with low constitutive expression of HEY1 in these cells (Fig. 1C). As shown for the cell line TC252 in a cell fractionation experiment, activated NOTCH3 efficiently translocated to the nucleus upon EWS-FLI1 silencing accompanied by nuclear p53 accumulation (Fig. 4B). Together, these results show activation of the NOTCH-signaling cascade by EWS-FLI1 silencing in at least 5 of 6 ESFT cell lines.
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Because JAG1 seemed to act upstream of EWS-FLI1 silencing–induced NOTCH pathway activation at least in the cell lines TC252, WE68, and SK-N-MC, we tested EWS-FLI1 dependency of JAG1 promoter activity in reporter gene assays in these cell lines. Two genomic fragments spanning the JAG1 promoter region from –1.7 or –0.57 kb to the transcriptional start site were cloned to drive luciferase reporter activity from the vector pGL4. In all three cell lines, silencing of EWS-FLI1 resulted in a 2- to >4-fold induction of normalized firefly luciferase activity with both the –1.7-kb (data not shown) and the –0.57-kb JAG1 promoter fragment (Fig. 5C). These results suggested that the JAG1 promoter elements responsible for EWS-FLI1–mediated regulation localize to the first 574 bp upstream of the JAG1 transcription unit. Future studies will attempt to uncover the cis-acting elements within this region that mediate EWS-FLI1 repressive activities.
Lastly, we asked whether the induction of p53 by JAG1 depended on HEY1 expression in TC252 cells. Coexpression of siRNA to HEY1 with JAG1 reduced p53 protein to basal levels comparable with those obtained by inhibition of NOTCH receptor cleavage with GSI (Fig. 5D).
Together, these data are consistent with a model in which EWS-FLI1 silencing in these cells results in the induction of the NOTCH ligand JAG1, which stimulates NOTCH3 cleavage by
secretase, leading to the transcriptional induction of HEY1. The consequence is nuclear p53 accumulation and subsequent activation of CDKN1A (Fig. 6
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| Discussion |
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After EWS-FLI1 knockdown, we found HEY1 to be strongly induced in a NOTCH3 activation–dependent fashion in three of six ESFT cell lines, which in turn was a consequence of JAG1 induction. Here, NOTCH pathway activation was also confirmed by ACTA2 induction. These results suggest that in these cell lines, EWS-FLI1 modulates NOTCH signaling in ESFT by JAG1 suppression. We delineated the regulatory sequences responsible for JAG1 modulation to a 574-bp promoter fragment, which is devoid of a canonical ETS binding motif (data not shown). Also, EWS-FLI1 was found to bind to the JAG1 upstream region in regular chromatin immunoprecipitation (ChIP) and ChIP-chip experiments,3 suggesting that EWS-FLI1 might directly regulate JAG1 transcription. Further studies are needed to elucidate the exact mechanism of JAG1 regulation by EWS-FLI1.
HEY1 was also induced, but to a much lesser extent, when no increase in JAG1 expression was observed. Here, two of three cell lines showed an increase in NOTCH3 processing suggesting alternative mechanisms of NOTCH activation in these cells. Whether the expression of other NOTCH ligands or modulators of NOTCH are affected by EWS-FLI1 silencing in these cases has not been investigated. In only one of six cell lines (STA-ET-7.2) did EWS-FLI1 silencing not result in detectable NOTCH3 processing. Interestingly, this p53 mutant cell line showed the lowest HEY1 induction levels (10–100 times less than in JAG1-induced ESFT cell lines). This result may indicate the existence of other less effective mechanisms of HEY1 activation. In two cell lines (STA-ET-1 and VH64), low-level constitutive NOTCH3 cleavage was observed even in the absence of EWS-FLI1 silencing, which in STA-ET-1 cells was accompanied by detectable HEY1 expression. However, these levels seemed to be below the necessary threshold for p53 activation, which was a posteriori reached only upon EWS-FLI1 knockdown, eliciting an at least 15-fold HEY1 induction in the wt-p53 cell lines.
The NOTCH signaling pathway is an evolutionary conserved developmental mechanism mediating cell fate selection via lateral inhibition (34). Forced NOTCH-signaling prevents progenitors from undergoing neurogenesis in the vertebrate nervous system, whereas blocking this pathway leads to excessive neurogenesis and depletion of the progenitor pool. In contrast, in mouse and human embryonal stem cells, NOTCH was shown to promote neural fates, underscoring the importance of the cellular context (35). Similarly in cancer, NOTCH signaling can either promote or suppress tumor formation. NOTCH1 is constitutively activated by mutation in >50% of T-cell acute lymphoblastic leukemias. Other cancers, in which NOTCH acts as an activated oncogene are carcinomas of the cervix, colon, lung, pancreas, breast, and brain tumors (34). As NOTCH signaling can maintain cells in the proliferative and undifferentiated state, it is thought that its role in these cancers is to prevent neoplastic cells from responding to differentiation cues in their immediate environment.
In contrast, we found that activation of the NOTCH signaling pathway in ESFT has tumor suppressive-like effects, leading to nuclear accumulation of p53, CDKN1A activation, and cell cycle arrest. Similarly, NOTCH signaling is tumor suppressive in a large range of B-cell malignancies (36), in small-cell lung carcinoma (SCLC; ref. 37) and, interestingly, in prostate cancer (38), which also carries ETS-gene rearrangements in a high proportion of cases. Consistent with our findings in ESFT, re-expression of NOTCH1 or NICD1 in SCLC cell lines resulted in p21WAF1/CIP1 expression (37). It remains to be seen whether the low levels of p53 and p21 in these cancers are caused by an oncogenic suppression of the NOTCH pathway. Similarly, in normal keratinocytes, JAG1-mediated NOTCH1 signaling was shown to induce p21WAF1/CIP1 expression, causing proliferating cells to withdraw from the cell cycle and helping to initiate terminal differentiation (39, 40). One might thus speculate that in the enigmatic ESFT precursor cell, NOTCH-activated p21WAF1/CIP1 expression is a step toward differentiation that is blocked by the consequences of the EWS-FLI1 gene rearrangement, thereby initiating tumorigenesis. This hypothesis is supported by the fact that in the vast majority of ESFT, HEY1 is suppressed. It will be of interest to characterize those rare cases of ESFT where HEY1 is activated. Based on our hypothesis, we expect enrichment in this subgroup of tumors showing either a slow growing phenotype in combination with a wt-p53 allele, or of tumors carrying p53 mutations.
The increase in p53 levels observed upon knockdown of EWS-FLI1 by RNAi was lower than was achieved by ionizing radiation or ectopic p53 expression (data not shown). Consistent with a model suggesting p53 levels as one determinant of cellular fate (41), we hypothesize that the levels and activities obtained by EWS-FLI1 silencing are only sufficient to activate high-affinity p53 targets such as the CDKN1A promoter, whereas low-affinity promoters such as those of the cell death genes BAX and PIG3 were not induced (data not shown).
Although this result is consistent with the observation that the EWS-FLI1 downstream target HEY1 causes cell cycle arrest but not cell death downstream of silenced EWS-FLI1, apoptosis was observed in the wt-p53 cell line TC252 but not in mt-p53 STA-ET-7.2 cells upon EWS-FLI1 knockdown. However, cell death induction in response to EWS-FLI1 modulation may not be p53 dependent because previous studies have shown apoptosis in the mt-p53 ESFT cell lines A673 and SK-ES (24, 42), and lack of apoptosis but induction of senescence in a wt-p53 cell line (29).
EWS-FLI1 knockdown induced p53 Ser 15 phosphorylation, whereas HEY1 ectopic expression did not. This result suggests that additional EWS-FLI1 regulated mechanisms effect on p53. Candidates are the transforming growth factor β pathway and loss of EWS-FLI1–mediated telomerase expression, potentially resulting in a DNA damage signal (43, 44).
Speculating ESFT cells resume characteristics of their tissue of origin upon silencing of EWS-FLI1 expression, our data suggest that the enigmatic ESFT precursor cell is a resting cell expressing p21WAF1/CIP1 due to elevated basal p53 levels, and which expresses components of the NOTCH signaling pathway as part of its normal differentiation regulatory program. The result of the chromosomal translocation t(11;22)(q24;q12) would enable an escape from normal developmental cues and allow for sustained proliferation due to NOTCH pathway suppression. Because we have shown that ESFT generally express NOTCH2 and NOTCH3 to variable extents and that re-expression of JAG1 or DLL1 was sufficient to elicit a p53 response via NOTCH pathway stimulation, ESFT cells likely retain their capability to respond to environmental cues that stimulate NOTCH. Such signals are provided by osteoblasts in the bone, stromal cells in the bone marrow, and by vascular endothelial cells (45). The lung, bone, and bone marrow are the primary sites of ESFT metastasis. It is tempting to speculate, that homing of ESFT cells to such NOTCH ligand–expressing niches may restrict tumor growth via a p53-dependent mechanism, providing a possible explanation for tumor dormancy and late relapse, two challenging problems in ESFT. If so, a better understanding of EWS-FLI1, NOTCH, and p53 cross-talk might provide us with tools to better manage progression of this disease.
| Disclosure of Potential Conflicts of Interest |
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| Acknowledgments |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
We thank Fan Yang, Paul Meltzer, and Marc Ladanyi for giving permission to refer to their unpublished EWS-FLI1 ChIP-chip data.
| Footnotes |
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Received 11/ 8/07. Revised 6/25/08. Accepted 6/27/08.
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