Abstract
Neovascularization is a limiting factor in tumor growth and progression. It is well known that changes in the tumor microenvironment, such as hypoxia and glucose deprivation (GD), can induce VEGF production. However, the mechanism linking GD to tumor growth and angiogenesis is unclear. We hypothesize that GD induces the angiogenic switch in tumors through activation of the unfolded protein response (UPR). We report that UPR activation in human tumors results in elevated expression of proangiogenic mediators and a concomitant decrease in angiogenesis inhibitors. cDNA microarray results showed that GD-induced UPR activation promoted upregulation of a number of proangiogenic mediators (VEGF, FGF2, IL6, etc.) and downregulation of several angiogenic inhibitors (THBS1, CXCL14 and CXCL10). In vitro studies revealed that partially blocking UPR signaling by silencing PERK or ATF4 significantly reduced the production of angiogenesis mediators induced by GD. However, suppressing the alpha subunit of hypoxia-inducible factors had no effect on this process. Chromatin immunoprecipitation confirmed binding of ATF4 to a regulatory site in the VEGF gene. In vivo results confirmed that knockdown of PERK in tumor cells slows down tumor growth and decreases tumor blood vessel density. Collectively, these results demonstrate that the PERK/ATF4 arm of UPR mediates the angiogenic switch and is a potential target for antiangiogenic cancer therapy.
Keywords: Glucose deprivation, UPR, angiogenic switch, VEGF, THBS1
Introduction
Dividing tumors can rapidly outgrow their blood supply. This results in a toxic tumor microenvironment (TME) characterized with hypoxia, acidic pH, glucose deprivation (GD) and amino acid deficiency. Increasing evidence suggests that the TME contains stressors that promote accumulation of misfolded proteins in the lumen of the endoplasmic reticulum (ER). This in turn activates intracellular signaling pathways termed as the unfolded protein response (UPR) (1–3). Initially, the UPR is cytoprotective aimed at restoring normal ER function (4). However, in the presence of severe or prolonged ER stress, cell death programs are activated (3, 4).
Mammalian UPR is controlled by three ER resident transmembrane proteins that serve as proximal sensors of ER stress and activate downstream signaling effectors: PKR-like ER kinase (PERK), inositol requiring 1 (IRE1) and activating transcription factor 6 (ATF6) (5). These effectors are maintained in an inactive state through association with the molecular chaperone, glucose-regulated protein 78 kDa (Grp78) (2). Upon ER stress Grp78 dissociates from these sensors, which activates UPR signaling (6). After dimerization and trans-autophosphorylation, activated PERK relays signal by phosphorylating the alpha subunit of eukaryotic initiation factor-2 (eIF-2α), which in turn inhibits general translation initiation and selectively translates several mRNAs including activating transcription factor 4 (ATF4) (7). ATF4 transactivates expression of several genes, such as C/EBP homologous protein (CHOP), a transcription factor implicated in apoptosis (8, 9) and Grp78 (10). Upon UPR activation, IRE1 splices an unconventional intron from the X-box-binding protein 1 (XBP1) mRNA, producing an active transcription factor XBP1-s (11, 12), which translocates into the nucleus and modulates the expression of several proteins involved in folding or clearance of aberrant proteins (2, 13). Lastly, during ER stress, ATF6 is processed into an active transcription factor, moves into the nucleus and upregulates ER chaperones and folding enzymes (2, 14).
Studies have shown that GD induces the expression of VEGF in different tumor cell lines (15–17), suggesting that besides hypoxia (18, 19), low concentration of nutrients play a role in triggering angiogenesis (20). It is also known that the pathological stimulus GD causes ER stress and alters gene expression through UPR signaling (20). However, mechanistic studies of UPR-mediated angiogenesis have been conducted for the most part using non-physiological agents such as thapsigargin (TG), focusing mainly on VEGF expression (21, 22). The mechanism underlying GD-induced UPR in tumor angiogenesis has not been fully elucidated.
In this study we report that activation of the UPR by GD plays a pivotal role in tumor angiogenesis by activating the angiogenic switch and that the PERK/ATF4 pathway of the UPR is involved in this process. These results suggest that targeting the proangiogenic arm of the UPR may reveal new strategies for cancer treatment.
Materials and Methods
Cells
The HNSCC cell line UM-SCC-81B (from Dr. Tom Carey), the breast cancer cell line MCF7 (ATCC), the glioma cell line U87 (from Dr, Yi Sun) and mouse embryonic fibroblast (MEF) cell lines (MEF-PERK+/+ and MEF-PERK−/−, from Dr. Andrew Fribley) were maintained in DMEM with high glucose (Invitrogen, Carlsbad, CA) with 10% FBS. All tumor cell lines were authenticated recently by DNA fingerprinting with small tandem repeat (STR) profiling. Primary human dermal microvascular endothelial cells (HDMEC; Cambrex, Walkersville, MD) were cultured in endothelial cell growth medium-2 (EGM2) (Cambrex). Thapsigargin (TG) and Tunicamycin (TM) were purchased from Sigma.
Immunofluorescence and immunohistochemical analysis
Immunofluorescence (IF) and immunohistochemistry (IHC) were performed as described previously (23) with primary antibodies against Grp78, CHOP (Santa Cruz), Ki67 and CD31 (BD Pharmingen). Goat anti-rabbit Alexa Flour 594 (Molecular Probes) and DAPI counterstaining were used for IF staining. The polink-2 HRP broad kit with DAB chromogen was employed for IHC staining. Normal human oral mucosa (NHM, from Drs. J. Nör and H. Rios) was used as control. All imaging was done using a Leica DM5000 microscope.
Laser capture microdissection
Laser capture microdissection (LCM) was performed as previously described (24). Approximately 500,000 epithelial cells from either HNSCC or NHM were collected using a pulsed 337-nm UV laser. RNA from at least 15 independent tumors and 10 NHM tissues were pooled respectively and analyzed using real-time PCR (qPCR).
Microarray analysis
Total RNA was isolated from UM-SCC-81B cells treated with or without GD (glucose, 0.1 mM) using the RNeasy plus minikit (Qiagen). A Human gene chip U133 Plus 2.0 (Affymetrix, Santa Clara, CA USA) was used to analyze gene expression. Details and results can be accessed in GEO repository (GSE38583).
Immunoblotting
Whole cell lysates were resolved by SDS-PAGE and transferred onto polyvinylidene difluoride membrane (Pierce) and probed with the antibodies: Grp78, CHOP, ATF4, beta-actin (Santa Cruz), HIF1α (BD Pharmingen), PERK (cell signaling) and spliced XBP1 (Biolegend). Horseradish peroxidase–conjugated secondary antibodies were from Santa Cruz. SuperSignal West Pico Chemiluminescent Substrate (Pierce) was used to visualize immunoreactive bands.
Enzyme-linked immunosorbent assay
Enzyme-linked immunosorbent assay (ELISA) was performed according to the manufacturer’s instructions. Briefly, cell culture supernatants were diluted 1:10, applied to each well (100 µL), incubated at RT for 2 hours, and washed three times. The secondary antibody reaction was performed at RT (1 h). Stabilized chromogen was used for colorimetric reactions. Optical density was measured at 450 nm using a plate reader (Spectra Max M2, CA, USA).
Lentivirus infection
GFP-expressing lentiviral constructs expressing small interfering RNA (shRNA) against PERK, ATF4, HIF1α were from Open Biosystems. For infection, 1 × 105 cells were plated in 6-cm plates, infected with the lentivirus and sorted with flow cytometry to ensure 100% positivity. Established stable cell lines were cultured with 2 µg/mL puromycin.
Chromatin immunoprecipitation
Chromatin immunoprecipitation (ChIP) analysis was performed using an Agarose-Chip kit (Pierce) according to the manufacturer’s instruction. Cells were treated for 18 hours with complete DMEM containing normal glucose (25 mM) or low glucose (2 mM) respectively. The chromatin solution was incubated overnight with ATF4 antibody (sc-200, Santa Cruz), non-immune rabbit IgG and anti-RNA polymerase II antibody. Purified complexes and input DNAs were analyzed by PCR. The ATF4-binding sites of VEGF gene (AsnSyn site) and asparagine synthetase gene (NSRE-1, nutrient-sensing response element, used as a positive control) have been described previously (25, 26). Amplicons were resolved on 1% agarose gels and visualized by SYBR Safe DNA gel stain (Invitrogen).
Real-time PCR and conventional reverse transcription PCR
Total mRNA was extracted from cultured cells with RNeasy plus minikit (Qiagen) following manufacturer’s instructions. cDNA was synthesized using the Verso cDNA kit (Thermo Scientific). Real-time PCR was performed in 384-well plate with the ABI PRISM 7900HT Sequence Detection System. Primers used for q-PCR (Grp78, CHOP, 18S, ATF4, VEGF, IL6, FGF2, CXCL10 and CXCL14) were from Applied Biosystems (Carlsbad, CA). RT-PCR was also used to check gene expression (IL6, VEGFA, FGF2, CTGF, Grp78 & 18s) (details in supplementary data).
Sprout formation assay
HDMECs (1.5 × 105 cells) were seeded in 6-well plates containing 1.5 ml layer of gelled type I collagen (Cohesion, Palo Alto, CA) for 24 hours, then cultured in EBM2 (2% FBS) containing concentrated GDCM (conditioned medium collected from cells cultured with GD) or NGCM (conditioned medium collected from cells cultured with regular medium) for 3 days. Number of sprouts in 12 random microscope fields per well was counted on day 3 in triplicate per condition. Images were taken with a Leica DMI 3000B (IL, USA).
Tumor Growth and Angiogenesis in Vivo
Tumor cells (UM-SCC-81B-scshRNA and UM-SCC-81B-shPERK, 5 × 105) were injected subcutaneously in the flanks of SCID mice (Harlan Laboratories). Tumor volume was measured every 3 days from day 17-post injection with a digital caliper. Tumor volumes were calculated using the formula volume (mm3) = Length × Width2/2. At the endpoint, tumors were surgically removed and analyzed for tumor angiogenesis.
Statistical analysis
Data is expressed as mean ± SD and analyzed using unpaired two-tailed Students’s t test. A value of p < 0.05 was considered to be significant.
Results
UPR activation in human tumors coincides with upregulation of proangiogenic mediators and downregulation of angiogenic inhibitors
To investigate the role of UPR in HNSCC, we examined expression of UPR markers Grp78 and CHOP in HNSCC patients (10 patients) and NHM (5 controls). Strong expression of both Grp78 (85%) and CHOP (88%) was detected in HNSCC compared to NHM (11% and 30% respectively) (Figure 1A, B, C and Figure S1), suggesting that the UPR was activated in tumor samples. With LCM, epithelial cells from both HNSCC (15 patients) and NHM (10 controls) (Figure 1D) were collected, and qPCR was carried out to determine relative expression levels of target genes. Significant Grp78 increase was observed in HNSCC (Figure 1D), confirming activation of the UPR in cancer cells. Simultaneously, mRNA levels of IL6 and VEGF showed a 2.9 and 3.5-fold increase respectively, and the expression level of the antiangiogenic chemokine CXCL14 showed significant decrease (Figure 1D). These results suggest that in human tumor samples, UPR is associated with a shift in the balance between pro- and antiangiogenic mediators in favor of angiogenesis.
Glucose deprivation can effectively induce the UPR and regulate angiogenic mediator production
To explain results obtained from human tumors, we investigated the role of GD-induced UPR in modulating angiogenesis related gene expression in vitro. Upon GD treatment (2–25 mM), UPR was activated as shown by phosphorylation of PERK (upward shift in the bands) and increased expression of ATF4, Grp78 and spliced XBP1 (Figure 2A). The strength of UPR (shown by dose-dependent increase of Grp78) correlates with upregulation of VEGF at both protein and mRNA levels (Figure 2A and Figure S2A, B). Furthermore, mRNA levels of FGF2 and IL6 displayed the same trend as VEGF in response to gradient glucose treatment (Figure S2B, C and D). Results of RT-PCR analysis also showed that transcription of the UPR marker Grp78 as well as the proangiogenic factors VEGF, IL6, CTGF and FGF2 were increased with GD treatment (Figure 2B). Increased secretion of IL6 and FGF2 in response to GD was also observed (Figure 2C).
Interestingly, the expression of CXCL10, an antiangiogenic factor was reduced with GD treatment at both mRNA and protein levels (supernatant) (5-fold and 2-fold respectively) (Figure 2D). The other two chemical UPR inducers, TM and TG also potently suppressed its expression at mRNA levels (Figure 2D).
To further understand how angiogenesis related genes respond to GD, UM-SCC-81B cells were subjected to GD for 4h and 24h, and genes of interest were analyzed by cDNA microarray. A panel of proangiogenic mediators, such as VEGF, IL6, FGF2, TGFB2, NRG1 and NGF, were upregulated and several antiangiogenic mediators, such as CXCL10, CXCL14 and THBS1 were inhibited (Table 1). Collectively, these data suggest that UPR modulates the angiogenic switch by adjusting the balance between pro- and antiangiogenic mediators in favor of angiogenesis.
Table 1.
Gene | Angiogenic | Fold Change |
||
---|---|---|---|---|
Symbol | Gene Title | Effect | 4 h | 24 h |
CTGF | connective tissue growth factor | positive | 3.17* | 3.42* |
CXCL10 | chemokine (C-X-C motif) ligand 10 | negative | - | −7.8* |
CXCL14 | chemokine (C-X-C motif) ligand 14 | negative | −2.1* | −28.2* |
CXCL3 | chemokine (C-X-C motif) ligand 3 | positive | 7.14* | 2.05* |
FGF2 | fibroblast growth factor 2 (basic) | positive | − | 2.6* |
HYOU1 | hypoxia up-regulated 1 | positive | − | 6.34* |
IL6 | interleukin 6 (interferon, beta 2) | positive | 2.12* | 2.59* |
IL8 | interleukin 8 | positive | 3.5* | −3* |
MANF | pmesencephalic astrocyte-derived neurotrophic factor | positive | 2.71* | 6.34* |
NGF | nerve growth factor (beta polypeptide) | positive | − | 2.71* |
NRG1 | neuregulin 1 | positive | 2.3* | 3* |
PDGFA | latelet-derived growth factor alpha polypeptide | positive | − | 2* |
TGFB2 | transforming growth factor, beta 2 | positive | − | 2.21* |
THBS1 | Thrombospondin 1 | negative | − | −4.13* |
VEGFA | vascular endothelial growth factor A | positive | 3.71* | 4.04* |
VEGFB | vascular endothelial growth factor B | positive | 3.77* | 5.19* |
UM-SCC-81B cells were treated with 0.1 mM glucose for 0, 4 and 24 hours. Total mRNA was extracted and subjected to cDNA array analysis. Positive: proangiogenic; Negative: antiangiogenic; “−”: no change;
p < 0.05.
Multiple ER stressors can induce the angiogenic phenotype in different tumor types
To investigate whether the tumor angiogenic response was not limited to GD only, UM-SCC-81B cells were treated with chemical ER stressors, TM (1 µg/ml) and TG (1 µM). Like GD, TM and TG were able to activate the UPR (Figure 3A) and significantly increase VEGF secretion (Figure 3B).
To eliminate the possibility of a cell-specific response, the breast cancer cell line MCF7 and the glioma cell line U87 were both subjected to GD (2 mM), TG (1 µM) and TM (1 µg/ml) treatment with subsequent assessment of UPR activation and VEGF secretion. We observed consistent UPR activation in both MCF7 and U87 (Figure 3A) and increased expression of VEGF (Figure 3B) with all three stressors. Additionally, two other HNSCC cell lines, UM-SCC-11B and UM-SCC-17B showed upregulation of the proangiogenic mediators VEGF, FGF2 and IL6 upon GD treatment (Figure S3 A – D). Collectively, these data indicate that the UPR plays an important role in regulating production of angiogenic mediators in tumor cells regardless of their origin.
HIF1α activation is not required for GD-induced UPR-mediated production of proangiogenic mediators
Hypoxia promotes the production of multiple proangiogenic mediators, including VEGF, platelet-derived growth factor (27), IL6 (28), FGF2 (29), and placental growth factor (30). Stein and colleagues reported that hypoxia transcriptionally increases VEGF expression and stabilizes its mRNA through HIF1α (17). And HIF1α has been reported to be involved in GD-induced VEGF expression in mouse embryonic cells (31). To address whether HIF1α is involved in GD-induced VEGF expression through UPR activation in tumor cells used, we knocked down the expression of HIF1α with shRNA. As seen from Figure 4A, HIF1α knockdown was neither able to inhibit GD-induced upregulation of Grp78, XBP1-s and phosphorylation of PERK nor inhibit GD-induced expression of VEGF, FGF2 and IL6 (Figure 4B and C), However knockdown of HIF1α inhibited CoCl2 (a mimetic of hypoxia) induced VEGF and IL6 expression at mRNA levels, but not FGF2 (Figure 4C). This may be because IL6 (28) and VEGF (32) are transcriptionally controlled by hypoxia, while FGF2 is not (29). Collectively, the results indicate that HIF1α is not involved in UPR-mediated production of angiogenic mediators.
PERK/ATF4 pathway is involved in UPR-mediated angiogenesis
Upon UPR activation, approximately one-third of UPR-responsive gene transcription requires phosphorylation of eIF2α, suggesting signaling from PERK regulates the UPR at transcriptional level (33) and is important for survival of tumor cells (34). We therefore, focused on the role of PERK/ATF4 pathway in the production of angiogenic mediators. During UPR, PERK activation leads to eIF2α phosphorylation, an increase of ATF4 expression and subsequent upregulation of CHOP and Grp78 (35, 36). To examine the role of PERK/ATF4 pathway in angiogenic mediator production, lentiviral vectors containing shRNA against PERK and ATF4 were used to infect UM-SCC-81B cells, generating stable cell lines with specific knockdown of PERK and ATF4 respectively. As shown in Figure 5A, shRNAs inhibit more than 70% of PERK expression and leads to reduced expression of its downstream genes (Grp78 and ATF4) upon GD treatment. Additionally, PERK knockdown in UM-SCC-81B cell line decreased VEGF expression at both protein and mRNA levels (p < 0.05) (Figure 5B, C). Expression levels of FGF2 and IL6 were also significantly suppressed (Figure 5C). To further corroborate the results above, Perk knockout (Perk −/−) mouse embryonic fibroblasts (MEF) were treated with GD (2 mM). In Perk −/− cells, expression of Vegf was significantly suppressed compared to Perk +/+ cells (Figure S4A, B and C).
As a downstream effector of PERK, it is conceivable that ATF4 is also involved in GD-induced angiogenic factor production. Studies have shown that homocysteine, an ER stressor, and arsenite increase VEGF transcription in an ATF4-dependent manner (25, 37). By knocking down ATF4, we observed decreased expression of Grp78 (Figure 6A) and proangiogenic factors (VEGF, IL6 and FGF2) were significantly suppressed (p < 0.05) (Figure 6B, C).
The ChIP assay is widely used to demonstrate the interaction between transcription factor activation and cis-acting elements. The “AsnSyn” site in the VEGF gene is an important ATF4 binding site (25, 26). To further verify the role of ATF4 in regulating VEGF expression, we examined the binding of ATF4 to the “AsnSyn” site using ChIP assay. As shown in figure 6D, specific PCR product was present in GD-treated samples immunoprecipitated with antibody against ATF4. In addition, GD also stimulated formation of a complex between ATF4 and a functionally important NSRE-1 site in the promoter of asparagine synthetase (an ATF4 target gene) as mentioned before (26, 38). PCR bands for GAPDH were observed in the samples immunoprecipitated with anti-RNA polymerase II with or without GD treatment. No PCR products were observed in Rabbit IgG immunoprecipited samples (Figure 6D, left panel). The quantification from ChIP assay clearly shows that GD promotes strong interaction between the VEGF “AsnSyn” site and ATF4 (Figure 6D, right panel). Collectively, these results demonstrate that the PERK/ATF4 pathway plays a pivotal role in GD-induced VEGF production.
UPR activation in tumor cells promotes tumor vascularization and proliferation
To determine how the UPR stimulates angiogenesis we used conditioned medium (CM) collected from GD-treated tumor cells (GDCM) to induce HDMEC proliferation and sprout formation on collagen gels. When exposed to angiogenic stimuli, HDMECs proliferate, migrate, and organize into capillary-like structures (39, 40). To assess sprout formation, HDMECs were grown in the presence of CM collected from UM-SCC-81B-scshRNA and UM-SCC-81B-shPERK7 with or without GD treatment. GDCM showed strong ability in promoting capillary-like sprout formation on collagen compared with CM collected from cells grown in normal glucose (NGCM). PERK knockdown however, decreased the ability of GDCM in inducing sprout formation (Figure 7A).
During sprout formation assay, we noted consistently higher confluence rates in cells cultured in the presence of GDCM, despite equal seeding of cells, suggesting GDCM might be able to promote cell proliferation. MTT assay verified this observation. As shown in Figure 7A, GDCM promoted stronger cell proliferation compared to NGCM (p < 0.05). NGCM supplemented with FGF2 showed the strongest ability in promoting HDMEC proliferation (Figure 7A).
The effect of PERK knockdown on tumor proliferation and blood vessel formation was also evaluated in vivo. As seen, PERK knockdown significantly reduced the tumor volume and slowed down tumor progression (Figure 7B). Knockdown of PERK reduced Ki67-positive cells from 44.6% in controls to 12% in PERK knockdown tumors, suggesting that PERK plays an important role in tumor growth (Figure 7C). As expected, suppressing PERK expression in tumor cells also reduced the blood vessel density from 8 to 4 per-field, which can reduce tumor volume due to a decreased blood supply (Figure 7D). To confirm these results, a rapid growing tumor cell line (UM-SCC-74B) was used in vivo. In UM-SCC-74B, PERK knockdown significantly reduced tumor proliferation as shown by tumor volume, tumor weight and Ki67 staining (Figure S5A, B). And blood vessel density in UM-SCC-74B tumors decreased from 17 to 8 per-field (Figure S5C).
Discussion
TME is often hypoxic and nutrient deficient due to an inadequate blood supply. This in turn leads to activation of the UPR. The main function of the UPR is to maintain or restore ER homeostasis in response to environmental stress. It is therefore not surprising that one mechanism for relieving this stress is by increasing the blood supply to tumors. It has been shown that in prostate and ovarian carcinoma, tumor cells subjected to GD show elevated levels of VEGF production (41, 42). However, due to the complex nature of the angiogenic process, it is likely that multiple proangiogenic mediators produced at the tumor site accumulate in sufficient quantities to offset antiangiogenic mediators. With immunostaining, we found strong expression of the UPR markers Grp78 and CHOP in tumors from HNSCC patients; whereas in normal human mucosa there was only weak expression of Grp78 and CHOP. Meanwhile, LCM analysis revealed expression levels of proangiogenic factors were elevated in tumor tissues, whereas the antiangiogenic mediator CXCL14 was significantly reduced. This supports the notion that UPR activation coordinates the expression of pro- and antiangiogenic mediators to facilitate blood vessel formation, which subsequently reduces stress.
Similar to tumor samples, tumor cell lines treated with GD showed UPR activation along with simultaneous increase of proangiogenic genes such as VEGF, FGF2, IL6, CTGF, etc., and decrease in a number of antiangiogenic genes (CXCL14, CXCL10 and THBS1), with CXCL14 showing the most significant reduction (28.21-fold). These results confirm that UPR plays a pivotal role in the angiogenic switch in tumors.
Pereira and colleagues recently reported that treatment of the human medulloblastoma cell line (Daoy) with the chemical ER stressor TG, induced expression of proangiogenic factors including IL8, angiogenin, angiopoietin-2, etc., and reduced expression of the antiangiogenic protein vasohibin (21). Interestingly, our studies revealed major differences in the spectrum of genes involved in angiogenesis compared to that reported by Pereira and colleagues, which suggests different stressors induce a distinct pattern of angiogenic mediator expression. Indeed, we found that GD (2 mM) and TM (1 µg/ml) can induce strong VEGF expression, but not IL8 expression. TG, at 100 nM, cannot induce strong VEGF expression, but can induce significant IL8 expression in UM-SCC-81B cells (Figure S6A, B). Higher TG concentration (1 µM) can however, induce VEGF (Figure 3A). This apparent discrepancy may be because TG releases calcium from the ER into the cytosol and IL8 expression is dependent on the change in cytosolic calcium (43). We contend that activation of the UPR and subsequent activation of the angiogenic switch by GD more closely resembles the events occurring in the tumor microenvironment. Nevertheless, these observations corroborate our hypothesis that UPR activation in tumors induces the angiogenic switch. Indeed, HDMEC treated with GDCM produce more capillary-like sprouts on collagen gel and suppressing PERK/ATF4 pathway of the UPR reduces tube formation ability of GDCM in inducing tube formation.
It has been reported that both GD and hypoxia activate the UPR (44). The UPR component PERK, has been linked to translation inhibition under hypoxic stress (45) and XBP1 has been shown to be essential to the survival of transformed cells in response to hypoxia (46). The best-characterized stress-induced regulator of tumor angiogenesis is HIF1α. Upregulation of VEGF in response to GD was found to be HIF1α-dependent in mouse embryonic stem cells (31), suggesting the TME-related stimuli, GD and hypoxia, share similar signaling pathways. However, we and others demonstrated that while GD could activate UPR, it could not promote accumulation of HIF1α (21, 47). Furthermore, although the hypoxia mimetic, CoCl2 promoted the accumulation of HIF1α, it was unable to promote overexpression of UPR markers Grp78, XBP1-s and phosphorylation of PERK. Knockdown of HIF1α had no effect on GD-induced VEGF, IL6 and FGF2 expression. These results suggest that the pathways activated following GD and CoCl2 treatment are different and HIF1α is not involved in angiogenic mediator production that is associated with GD-induced UPR. Our studies confirm earlier observations that HIF1α was not involved in UPR-mediated VEGF expression (21, 22).
The PERK/ATF4 pathway has been reported to mediate VEGF mRNA expression in mouse cell lines (MEF, neruo2A), HUVEC (Human umbilical vein endothelial cells), ARPE-19 (human retinal pigment epithelial cell) and HepG2 (hepatic carcinoma cell line) following activation of the UPR with TG or TM (21, 22, 25, 26). However, its role in GD-induced UPR-mediated angiogenesis in human tumors has not been reported. We show here that the PERK/ATF4 pathway of the UPR is involved not only in VEGF expression, but also FGF2 and IL6 expression in human tumor cells treated with GD. An approximately 70% knockdown of PERK is sufficient to reduce expression of these proangiogenic mediators. In vivo results confirmed that PERK plays an important role in tumor proliferation and neovascularization. Direct knockdown of the downstream target of PERK, ATF4, displayed an even stronger inhibitory effect in reducing VEGF, IL6 and FGF2 expression. This suggests a central role of ATF4 in the production of proangiogenic mediators. A possible explanation is that as an activating transcription factor, ATF4 regulates the expression of these genes directly.
In summary, our studies show that GD-induced UPR activation initiates an angiogenic switch that alters the balance of pro- and antiangiogenic mediators. The resulting proangiogenic environment could function to relieve the stress by increasing the blood supply to tumors. We also found that the PERK/ATF4 arm of UPR signaling is a pivotal pathway responsible for upregulating the production of multiple proangiogenic mediators. In conclusion, these results suggest that the role of UPR-mediated stress response must be taken into consideration as a potential target in the design of new cancer therapies.
Supplementary Material
Acknowledgments
We thank members from Jacques E. Nör’s laboratory, Dr Andrew Fribley and members from Randal J. Kaufman’s Laboratory for helpful discussions and assistance. We also thank University of Michigan core facilities for their technical assistance.
Grant support:
This work is supported by The Sharon and Lauren Daniels Cancer Research Fund and University of Michigan, Office of the Provost, grant P50-CA97248, from the NIH/NCI, and grant R01-DE21139 from the NIH/NIDCR.
Footnotes
The authors declare no conflict of interest
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