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Cell and Tumor Biology |
1 Department of Urology, University of Washington, Seattle, Washington; 2 Translational Genomics Research Institute, Gaithersburg, Maryland; 3 Oncology Research Centre, University of New South Wales, Department of Clinical Medicine, Prince of Wales Hospital, Randwick, Australia; and 4 Puget Sound VA Health Care Systems, Seattle, Washington
Requests for reprints: Eva Corey, Department of Urology, Mail Stop 356510, University of Washington, 1959 Northeast Pacific Street, Seattle, WA, 98195. Phone: 206-543-1461; Fax: 206-543-1146; E-mail: ecorey{at}u.washington.edu.
| Abstract |
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Key Words: prostate cancer osteoprotegerin bone metastases bone remodeling osteoblast osteoclastogenesis
| Introduction |
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A key molecular system that influences bone remodeling consists of osteoprotegerin (OPG), receptor activator of NF
B ligand (RANKL), and RANK. OPG is a soluble member of the tumor necrosis factor receptor superfamily that prevents association of RANKL with RANK by acting as a decoy receptor. Interactions between RANKL and RANK are critical for the recruitment, activity, and survival of osteoclasts. An increase in the ratio of OPG to RANKL inhibits these processes and results in increased bone mass (4). OPG inhibits osteoclastogenesis in vitro and blocks bone loss following ovariectomy in vivo (5). Transgenic mice overexpressing OPG exhibit an osteopetrotic phenotype, whereas OPG-knockout mice have severe osteoporosis (6, 7).
The OPG/RANKL/RANK system is also involved in various pathologies associated with metastatic disease in bone (8). Increased expression of RANKL has been observed in osteolytic malignancies, such as breast cancer and multiple myeloma, and inhibition of osteoclastogenesis has been considered as an intervention strategy (912). Treatment of osteolytic bone metastases with OPG inhibits osteolysis and decreases skeletal tumor burden in myeloma and breast cancer (13, 14).
Although prostate cancer bone metastases are usually osteoblastic in character, the complex nature of bone remodeling and its interactions with prostate cancer seem to involve effects on osteolysis as well; increased osteolysis has been reported in patients with prostate cancer metastases (3). Based on previous findings, prostate cancer growth in bone is thought to be influenced by the osteolytic events that accompany the overall osteoblastic response. Exogenous administration of Fc-OPG and zoledronic acid, potent inhibitors of osteoclastogenesis and therefore osteolysis, were reported to inhibit intraosseous growth of C4-2B prostate cancer cells (15), LNCaP cells (16), and osteoblastic LuCaP 23.1 (17, 18), and it has also been reported that administration of Fc-RANK inhibited prostate cancer tumor growth in bone (19). Moreover, we have recently reported increased expression of OPG and RANKL in prostate cancer bone metastases (20), and increased levels of OPG in the serum of patients with prostate cancer bone metastases were reported by us and others (2123). Taken together, these findings indicate significant involvement of the OPG/RANKL/RANK system in prostate cancer bone metastases.
This study was undertaken to evaluate the biological effects of OPG expressed by prostate cancer cells on these cells and their interactions with the bone environment. We examined whether OPG expression results in selective inhibition of growth in the bone when compared with growth at a subcutaneous site and in decreased osteolysis upon implantation in bone. Furthermore, because there is a delicate balance between bone degradation and new bone deposition, we examined whether suppression of osteolytic events may result in an increased osteoblastic response.
| Materials and Methods |
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Preparation and Characterization of Transfected Cells In vitro
Plasmid Preparation and Transfection
The coding region of human OPG was amplified from cDNA derived from MG-63 cells, an osteosarcoma cell line, using sense primer ACCACAATGAACAAGTTGCTGTGCTGCGCGCT and antisense primer TTATAAGCAGCTTATTTTTACTGATTG and ligated into pcDNA3.1 V5-His-TOPO (Invitrogen, Inc., Carlsbad, CA). Clones containing the OPG insert were sequenced and a 100% matching clone was transfected into C4-2 cells using 1 µg of plasmid and 6 µL Lipofectamine 2000, according to the manufacturer's recommendations (Life Technologies, Rockville, MD). Selection of transfected cells was done with 600 µL/mL G418 and cells were maintained on 300 µL/mL G418.
Quantification of Osteoprotegerin mRNA and Protein Levels
Real-time PCR. OPG and pcDNA/3.1V5-His-transfected C4-2 cells were harvested and total RNA was isolated using STAT-60 (Tel-Test, Friendswood, TX). One microgram of total RNA was transcribed as described previously (24). Expression of OPG was evaluated by real-time PCR using a ROTOR-Gene (Corbett Research, Sydney, Australia) with sense primer GCATTCTTCAGGTTTGCTGTTCCT, antisense primer CTTGGGCTTTGTTTTGATGTTTCC, and sybergreen for detection. The OPG signal was normalized to levels of glyceraldehyde-3-phosphate dehydrogenase message (sense primer TGCACCACCAACTGCTTAGC and antisense primer GGCATGGACTGTGGTCATGAG). Relative quantities of the OPG and glyceraldehyde-3-phosphate dehydrogenase messages were calculated based on a standard curve using PC-3 cDNA.
Conditioned Media. Transfected cells were grown in RPMI 1640 with 10% fetal bovine serum to
80% confluence. Media were then replaced with serum-free RPMI 1640 and conditioned media (CM) were harvested after 48 hours.
Western Blot. Total protein was extracted from transfected cells using lysis buffer [10 mmol/L Tris, 50 mmol/L NaCl, 0.25% Triton X-100, 0.5% CHAPS, 0.25% dioxycholate, and Complete protease inhibitors (Amersham, Piscataway, NJ), pH 7.4] for Western blot analysis of OPG expression. Thirty micrograms of total protein were separated on 4% to 20% SDS-PAGE and transferred onto a PDF membrane. Western blots were done as described previously (24). In addition, CM of transfected cells was concentrated 10-fold for Western blot analysis of OPG in media. OPG was detected using a mouse anti-human OPG antibody (Biocarta, Carlsbad, CA) at a concentration of 1 µg/mL. Immunoreactive proteins were detected using enhanced chemiluminescence (Amersham).
Osteoprotegerin ELISA. pcDNA-C4-2 and OPG-C4-2 cells were grown in 6-well plates under standard conditions (10% fetal bovine serum). Media were collected after 4 days and OPG levels were determined using a human OPG ELISA kit (ALPCO, Windham, NH) following the manufacturer's recommendations.
Proliferation of Transfected Cells. Transfected cells were plated in 96-well plates at a density of 3,000 cells per well in RPMI 1640 with 10% fetal bovine serum. The effects of transfection on the proliferation of C4-2 cells were evaluated using the Quick Cell Proliferation Assay (BioVision Laboratories, Mountain View, CA) as described previously (18).
Cell Cycle Analysis. Transfected cells were grown under standard conditions, harvested and stained with 4',6-diamidino-2-phenylindole (10 µg/mL in 0.1% NP40) for determination of cell cycle distribution by flow cytometry (Cytopenia INFLUX Cytometer, Seattle, WA).
Effects of Conditioned Media from Transfected Cells and Coculture with Transfected Cells on Osteoclast Formation. Five thousand RAW 264.7 cells per well were plated in 24-well plates in media containing human RANKL (5 ng/mL, PeproTech, Rocky Hill, NJ). Either 200 µL of 10x concentrated CM were added to the culture or 2 x 104 OPG-C4-2 or pcDNA-C4-2 cells were cocultured with RAW 264.7 cells in Trans-well plates (Costar, Corning, NY) for 6 days, with half of the media replaced on day 3. Osteoclasts were stained on day 6 using a tartrate-resistant acidic phosphatase assay (Sigma Chemical Co., St. Louis, MO) and counted. To confirm that inhibition of osteoclast generation was due to OPG expression, coculture experiments were repeated with daily addition of a neutralizing anti-human-OPG mouse monoclonal antibody (1 µg/mL, R&D Systems, Minneapolis, MN). Experiments were done three to five times in duplicate.
Tumor Necrosis Factor-Related Apoptosis-Inducing LigandInduced Apoptosis. OPG-C4-2 and pcDNA-C4-2 cells were treated with 100 or 200 ng/mL tumor necrosis factor-related apoptosis-inducing ligand (TRAIL, R&D Systems) for 3 days. Effects of TRAIL administration on proliferation were determined by the Quick Cell Proliferation Assay (BioVision Laboratories) after 3 days of exposure, as described above. Determination of effects on apoptosis was done 3 days post-TRAIL treatment using an Annexin V-FITC Apoptosis detection kit (Oncogene, San Diego, CA) according to the manufacturer's instructions.
Animal Studies
All procedures were done in compliance with the University of Washington Institutional Animal Care and Use Committee and NIH guidelines. Four- to 6-week-old male SCID mice (Fox Chase SCID mice, Charles River, Wilmington, MA) were used.
Subcutaneous Tumors. Animals (10 per group) were injected Subcutaneously with 2 x 106 OPG-C4-2 or pcDNA-C4-2 mixed 1:1 with Matrigel (BD Biosciences, San Jose, CA). Tumor volume was measured twice weekly and calculated as L x H x W x 0.5236. Blood samples were harvested every week for determination of serum prostate-specific antigen (PSA) levels (IMx Total PSA assay, Abbott Laboratories, Abbott Park, IL). Animals were sacrificed when tumors reached
1,000 mg or when animals were becoming compromised. Sacrifice serum was harvested for determination of serum OPG levels (osteoprotegerin ELISA, ALPCO). Tumors were harvested for further analyses.
Intratibial Tumors. Animals were injected with approximately 105 cells in 10 µL into tibiae as described previously (25, 26). Two groups of 20 animals were used: (a) pcDNA-C4-2 cells and (b) OPG-C4-2 cells. Blood samples were drawn from animals weekly for determination of PSA serum levels (see above). Ten animals from each group were sacrificed at 3 weeks after tumor cell injection, and the remaining 10 animals in each group were sacrificed at 8 weeks after tumor cell injection or when becoming compromised. This interval was chosen based on previous experiments, which showed that at 8 weeks, C4-2 tumors were still growing within the tibia with no large tumor mass in the muscle. Bone mineral density (BMD) was measured at 3 and 8 weeks after tumor cell injections using a PIXImus Lunar densitometer (GE Healthcare, Waukesha, WI). Tibiae with tumors from five animals of each group were demineralized and embedded in paraffin. The remaining five tumored tibiae from each group were embedded in methacrylate (27) for bone histomorphometry (BHM) analysis.
Immunohistochemistry. Five-micrometer sections of paraffin-embedded tumors were used for determination of PSA and OPG immunoreactivity as described previously (28). A rabbit polyclonal anti-PSA antibody at 3 µg/mL (Dako, Carpinteria, CA) and a mouse monoclonal anti-human-OPG antibody (1.25 µg/mL, Biocarta) in combination with biotinylated anti-rabbit or anti-mouse polyclonal antibodies (1:150, Zymed, South San Francisco, CA) were used. Control sections were stained with a rabbit immunoglobulin G or MOPC-21, an unrelated monoclonal antibody, at the same concentrations as anti-PSA and anti-OPG antibodies, respectively.
Bone Histomorphometry. Six-micrometer sections of undecalcified tibiae embedded in methacrylate and stained with Goldner stain (27) were used. BHM analysis was done on one longitudinal section in the middle of the tibia from five animals per group in the area adjacent to the growth plate (0.525-1.225 mm below the growth plate, site of injection, n = 5 per group) by Skeletech, Inc. (Bothell, WA). The percentages of bone volume and tumor volume in the tissue volume (%BV/TV and %TuV/TV, respectively) were calculated. The trabecular thickness in µm, the trabecular number per mm, the trabecular separation in µm, the ratio of osteoblast surface to bone surface as a percentage, and the ratio of osteoclast surface to bone surface as a percentage were also determined.
Data Analyses. Analyses of results were done using paired and unpaired Student's t tests as appropriate. The statistical significance level was P
0.05.
| Results |
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OPG overexpression did not alter the take rates of tumor cells in the bone environment, which were 100% for both transfected C4-2 strains. Growth of prostate cancer cells in the bone was monitored by serum PSA levels. At 3 weeks, 95% of animals in both groups had measurable serum PSA levels. There were no significant differences between the BMD of tibiae with OPG-C4-2 and pcDNA-C4-2 tumors (P = 0.9) at this early time point. The BMD of both OPG-C4-2 and pcDNA-C4-2 tibiae was significantly lower versus contralateral nontumored tibiae (
4-6%, P = 0.0020 and 0.0005, respectively; Fig. 5A). At 8 weeks after injection of tumor cells, the BMD of tibiae with OPG-C4-2 tumors was higher than that of pcDNA-C4-2 tibiae (increase of 11.2%, P = 0.0074). Importantly, at 8 weeks, the BMD of tibiae with OPG-C4-2 tumors was not different from that of contralateral nontumor tibiae, and was 8.2% higher than the BMD of OPG-C4-2 at 3 weeks after tumor cell injection (P = 0.0238; Fig. 5B).
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At 3 weeks after tumor cell injection, BHM analysis revealed that tumor volume and bone characteristics of the tibiae with OPG-C4-2 and pcDNA-C4-2 were not significantly different (data not shown), but significant effects of OPG overexpression on prostate cancer tumor and bone were detected at 8 weeks after tumor cell injection. Results of BHM analysis of tibiae with OPG-C4-2 and pcDNA-C4-2 tumors are presented in Table 1. BHM analysis in the area adjacent to the growth plate show that tumor volume (%TuV/TV) in OPG-C4-2 tibiae was significantly lower than tumor volume in pcDNA-C4-2 tibiae (48.67 ± 1.11 and 77.40 ± 5.97, respectively; P = 0.0117). To reduce the possibility that analysis of this area is not representative of the total tumor volume, analysis of tumor volume was done on the whole longitudinal section of the tibiae. The decreases in tumor volume observed in OPG-C4-2 tibiae versus pcDNA-C4-2 tibiae were similar to the results in the area adjacent to the growth plate (32.85 ± 2.50 and 54.71 ± 3.67, respectively; P = 0.004; Fig. 7A and B). Surprisingly, serum PSA levels in animals bearing OPG-C4-2 tumors were similar to those in animals bearing pcDNA-C4-2 tumors in tibiae (Fig. 7C). OPG expression in C4-2 cells caused significant increases in %BV/TV, trabecular thickness, and trabecular number, and significant decreases in osteoblast surface/bone surface and osteoclast surface/bone surface (Table 1).
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| Discussion |
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Whereas administration of exogenous Fc-OPG inhibited tumor growth (1517), OPG overexpression in breast cancer cells MCF-7 increased their growth. Animals inoculated with OPG overexpressing cells developed large tibial tumors of a less-differentiated phenotype (30). Moreover, OPG expression in MDA-MB-231 cells caused a 25% survival advantage following intracardiac injection (31). These results suggest that endogenous OPG exhibits autocrine effects on breast cancer cells. In our study, overexpression of OPG in C4-2 prostate cancer cells did not directly alter growth of prostate cancer cells in vitro or growth of SC prostate cancer tumors. The differences between our results and the effects seen in breast cancer may be related to differences in the biology of breast and prostate cells. OPG has been shown to be involved in mammary development (32), whereas no similar findings have been reported in prostate cancer. Therefore, our results do not support the concept that OPG regulates prostate cancer cell proliferation through autocrine pathways, at least in the C4-2 model.
OPG has been associated with prostate cancer progression and bone metastases (2123). Our observation that OPG expression inhibits tumor growth therefore seems to present a paradox. However, it is important to draw a distinction between correlation and causation. In the absence of relevant data, one might hypothesize that OPG expression contributes to tumor growth, but an equally valid hypothesis is that OPG expression is an adventitious effect of disruption of signaling pathways associated with tumor growth. For example, we have previously shown that OPG expression is increased in the PC-3 prostate cancer cell line by exposure to bone morphogenetic proteins (24). The bone environment is a rich source of bone morphogenetic proteins, which have fundamental roles in growth, development, and bone formation, apart from regulation of OPG. Thus, in this model, OPG expression in prostate cancer bone metastases is not a selected trait, but a characteristic due mainly to the bone environment. In support of this hypothesis, we have previously shown that expression of OPG by normal prostatic epithelium is lost in primary prostate tumors, but restored in the bone environment. Under this model, there is no a priori reason to expect OPG to stimulate growth of prostate cancer bone metastases, and the observation that OPG-expressing C4-2 cells grow more slowly than control C4-2 cells is not paradoxical.
Treatment with Fc-OPG decreased the take rate of prostate cancer tumors in some studies (15, 16) but not in others (17). In the present study, overexpression of OPG did not inhibit the establishment of the OPG-C4-2 tumors in the bone environment. The differential effects could be due to heterogeneity in the response of various prostate cancer models as well as differences in the levels of OPG. Doses of Fc-OPG used for treatment have been quite high; such levels were not reached with OPG overexpression and are probably not reached in prostate cancer patients with bone metastases. Therefore, we conclude that OPG expression in prostate cancer cells does not adversely affect the establishment of tumor cells in the bone environment.
Although the take rate of the C4-2 tumor cells seems unaffected by OPG, the results presented here suggest that overexpression of OPG by the prostate cancer cells does result in an overall reduction in tumor volume in bone. In keeping with the known biology of OPG activities in bone and the failure to observe inhibition of growth of SC prostate cancer tumors, our results indicate that inhibition of prostate cancer growth in the bone environment is due to suppression of recruitment and activity of osteoclasts by OPG. This results in decreases in both bone lysis and release of growth factors, and also in restriction of the space for tumor growth within the bone marrow cavity.
Surprisingly, serum PSA levels did not change in concert with the inhibition of tumor volume in bone exerted by OPG overexpression. Our results showed that serum PSA levels closely followed the volume of both OPG-C4-2 and pcDNA-C4-2 SC tumors, that the PSA index (ng PSA per mL per mm3 tumor) was similar for both groups, and that PSA mRNA levels in SC tumors as determined by real-time reverse transcription-PCR were also indistinguishable between OPG-C4-2 and pcDNA-C4-2 (data not shown). Therefore, we considered the possibility that there may be an artifact in measuring tumor volume by BHM adjacent to the growth plate, although this procedure has been successfully used by us in earlier studies (17, 26). To address this possibility, we measured tumor volume in the whole longitudinal section of tibiae. These results confirmed the overall decrease in OPG-C4-2 tumor volume. In none of the tumor-bearing mice was there significant extraosseal tumor growth that could confound the data. Therefore, we attribute the PSA results to another phenomenon. We have observed in vitro that semiconfluent proliferating prostate cancer cells secrete lower levels of PSA than nonproliferating confluent tumor cells (our unpublished data). We speculate that the OPG-C4-2 cells, confined to a limited space, cease proliferating and therefore produce higher levels of PSA than pcDNA-C4-2 cells, which can proliferate for longer periods as they fill larger marrow spaces due to degradation of trabecular bone. According to this scenario, similar PSA serum levels in the two models might be achieved despite differences in tumor volume. However, based on our results, we cannot rule out the possibility that the discordance of tumor volume and PSA levels might be specific to the bone environment and due to phenotypic changes, or the technical limitation of determination of tumor volume in one section of the tibiae.
OPG affects bone remodeling by inhibiting bone lysis. These effects were observed with OPG-C4-2 tumors, but not immediately after injection of the OPG-expressing cells. At 3 weeks after injection of tumor cells, the BMD of tumored tibia (OPG-C4-2 and pcDNA-C4-2) was actually lower than that of contralateral control tibiae. This decrease could be due to tumor cells acting in combination with processes associated with the repair after injection through the growth plate. Evidently, the levels of OPG that had accumulated by that point were not sufficient to inhibit osteoclastogenesis. At 8 weeks after injection of tumor cells, however, the BMD of tibiae with OPG-C4-2 tumors was higher than the BMD of tibiae with pcDNA-C4-2 tumors, suggesting that OPG levels had become sufficient to inhibit osteolysis associated with C4-2 tumors. In fact, at this point, the BMD of the OPG-C4-2 tibiae had risen to a level similar to the BMD of contralateral nontumored tibiae. Moreover, the BMD of OPG-C4-2 tibiae at 8 weeks was significantly higher than at 3 weeks. BHM results showed that bone volume of OPG-C4-2 tibiae at 8 weeks after tumor cell injections was higher than that of pcDNA-C4-2 tibiae, and also higher than bone volume of contralateral nontumored tibiae. We hypothesize that C4-2 cells express other as-yet unidentified factors that stimulate an osteoblastic reaction, and when osteolysis is inhibited, the osteoblastic factors predominate.
The results presented herein bear on the effects of OPG on prostate cancer cells in the bone environment. Our data show that OPG overexpression in prostate cancer cells does not inhibit proliferation of these tumors directly, but affects the growth and characteristics of prostate cancer tumors in bone in an indirect manner. Because bone remodeling is a balance between bone degradation and bone formation, we hypothesize that the inhibition of tumor-associated osteolysis by OPG might be a significant event contributing to the classic osteoblastic response seen in prostate cancer bone metastases.
| 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 Dr. Michael Corey for editorial assistance, Austin Odman for excellent technical assistance, and Abbott Laboratories for providing the reagents used to determine PSA serum levels.
Received 6/ 8/04. Revised 11/30/04. Accepted 12/ 8/04.
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