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Cell, Tumor, and Stem Cell Biology |
Departments of 1 Pathology, 2 Urology, and 3 Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
Requests for reprints: Gustavo E. Ayala, Department of Pathology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030. Phone: 713-798-3705; Fax: 713-798-2720; E-mail: gayala{at}bcm.tmc.edu.
| Abstract |
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| Introduction |
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Our previous studies showed a survival advantage for prostate cancer cells in the perineural space manifested by reduced apoptotic activities and increased proliferation compared with prostate cancer cells in non-PNI sites (3). The in vitro PNI model reproduces this survival advantage when prostate cancer cells were cocultured with dorsal root ganglion (DRG) nerve tissue.
Caveolin-1 (cav-1) is a major scaffolding component of cell membrane invaginations, called caveolae, present in many different types of cells, including prostate cancer cells. It is involved in sequestering numerous effectors and signaling molecules (G-protein, calcium, mitogen-activated protein kinase, and lipid signaling components) and may facilitate their activities (4). Cav-1 also shows antiapoptotic activities in prostate cancer and has been associated with metastasis and androgen insensitivity in this malignancy (5). Although epithelial cav-1 expression correlates with pathologic variables associated with poor prognosis, it is an independent predictor of prostate-specific antigen recurrence after radical prostatectomy (6). Interestingly, cav-1 levels are higher in prostate cancers from African-American men compared with White-American men (7).
Cav-1 is also found in neural PC12 cells and DRG neurons (8). It is seen along the entire surface of DRG neurons, in Schwann cells, and in particularly high levels in growth cones (8). Cav-1 has also been associated with adhesion. A urokinase-type plasminogen activated receptorintegrincav-1 complex has been identified in prostate cancer cells and has been linked to adhesion sites (9). The presence of cav-1 on the contact surfaces of DRG and Schwann cells raises the possibility of cell-to-cell or cell-to-matrixinitiated, cav-1/caveolaemediated cell signaling that could trigger antiapoptotic effects. Because cav-1 is up-regulated in response to neuron injury (8), it is possible that nerves secrete cav-1 during PNI as a response to damage produced by the cancer cells to the nerve. To test if cav-1 is involved in the survival advantage found in cells in perineural location, we used the in vitro PNI model and tissue microarray technology.
| Materials and Methods |
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DRG from cav-1 knockout mice and littermate wild-type controls were also used for a different set of experiments. These genetically engineered mice were described previously (10).
Microchamber system. DU145 human prostate carcinoma cells were obtained from American Type Culture Collection (Rockville, MD) and were cultured in RPMI 1640 supplemented with FBS (10%), penicillin (100 units/mL), and streptomycin (100 µg/mL; Sigma Chemical Company, St. Louis, MO). They were maintained at 37°C in a humidified atmosphere of 5% CO2. DU145 cells were cultured in microchamber culture slides (VWR) as monolayer adherent cells for 11 days to
70% to 80% confluency. The cultures were then switched to 50% fresh medium and 50% conditioned medium transferred from the PNI coculture model and controls (DU145 cell growing alone). Fresh RPMI-based culture medium was also used as a control. Recombinant human transforming growth factor-ß1 latency-associated peptide (TGF-ß1 LAP; R&D Systems, Minneapolis, MN), cav-1 neutralizing antibody (Santa Cruz Biotechnology, Santa Cruz, CA) or the normal goat IgG control (AB-108-C, R&D Systems) was added to the 100 µL cold growth factor reduced Matrix Matrigel (Becton Dickinson) separately. The Matrigel and antibody mixture was transferred by a prechilled pipette tip into each well of a prechilled six-well plate. Then, 105 cells were seeded on 100 µL cold Matrigel around a mouse DRG. The amount of recombinant human LAP TGF-ß1 added was based on the neutralization dose 50 (ND50) for each. LAP was added per 100 µL Matrigel, which is 2.65x the ND50. Dialyzed cav-1 neutralizing antibody (Santa Cruz Biotechnology) was added as 1:100, 0.2 µg per 100 µL Matrigel. As a control, an equivalent amount of normal goat IgG (R&D Systems) was added. For all conditions, DU145/DRG in vitro model were allowed to develop for 12 days in RPMI 1640 containing 5% Nu serum (BD Biosciences, Bedford, MA) in a humidified atmosphere of 5% CO2. An equivalent concentration of each antibody was added into culture medium, respectively. After washing by 1x D-PBS, samples were harvested from six-well plate, then mixed with 4% agar, chilled on ice, and transferred to tissue cassette. Samples were fixed in 10% neutralized formalin overnight at room temperature. Then, embedded in paraffin, 5 µm sections were cut and mounted onto slides.
First-strand cDNA synthesis. First-strand cDNA was made from total RNA by using RETROscript First Strand Synthesis kit (Ambion, Austin, TX). One microgram of each RNA sample and control template RNA (Ambion) was heated to 75°C for 3 minutes in nuclease-free water containing 2 µL random decamers. Reverse transcriptase buffer (10x, 2 µL), 4 µL of 10 mmol/L deoxynucleotide triphosphate mix (dATP, dCTP, dGTP, and dTTP, 10 mmol/L each), 1 µL placental RNase inhibitor, and 1 µL Moloney murine leukemia virus reverse transcriptase (100 units/µL) were added to the sample. Each reaction volume was adjusted to 20 µL by adding nuclease-free water. The reaction mixture was incubated at 44°C for 1 hour, followed by incubation at 92°C for 10 minutes to inactivate the reverse transcriptase.
Real-time quantitative PCR. The ABI Prism 7000 sequence detection system (Applied Biosystems, Foster City, CA) was used for quantitative PCR analysis using hypoxanthine phosphoribosyltransferase 1 (HPRT1) as endogenous control. All probes (6-FAM dye labeled at the 5' end and a nonfluorescent quencher at 3' end of the probe) were combined with primers (Assay-on-Demand, Hs 00171257_m1; Hs 99999909_m1; Applied Biosystems). Validation experiments were done using 1:2 diluted total RNA templates. The log input amount of RNA versus change in cycle threshold (
Ct) was generated to show that the efficiencies of the targets and references were approximately equal. TGF-ß1 and HPRT1 were amplified in separate wells in duplicate. Reaction conditions included 10 µL of 2x Taqman Universal Master Mix (with UNG), 1 µL HPRT1 or TGF-ß1 primers and probes mixture, 100 ng template cDNA (DU145 alone and PNI coculture), and nuclease-free water to a 96-well reaction plate. The Taqman cycling conditions were as follows: 2 minutes at 50°C, 10 minutes at 95°C, and 40 cycles of 15 seconds at 95°C followed by 1 minute at 60°C.
The calculation was done using values of
Ct as the calibrator from DU145 cells cultured alone or from DU145 cells cocultured with DRG. For each experimental sample, the Ct of target, normalized to an endogenous reference and relative to a calibrator, is given by: 2 
Ct.
Tissue microarray. Tissue microarrays were built using tissues from 50 human prostate cancer patients treated by radical prostatectomy at Baylor College of Medicineaffiliated hospitals using the manual tissue arrayer (Beecher Instruments Microarray Technology, Silver Spring, MD). Tissues from these patients were processed following standard procedures. Whole-mount slides were examined under light microscope and areas of nerves with PNI as well as areas of cancer as far away as possible from the nerve were selected and cored (one tissue cylinder, 2 mm).
In situ labeling of apoptotic bodies. The detection of DNA fragmentation was determined in situ by the terminal deoxynucleotidyl transferasemediated dUTP biotin nick end labeling (TUNEL) technique as described previously (11). We used the TACS·XL-DAB in situ apoptosis kit (Trevigen, Inc., Gaithersburg, MD) following the instructions of the manufacturer with minor modifications, and counterstained with methyl green. The TUNEL assay and immunohistochemistry were done on the tissue microarray slides and paraffin-embedded sections of PNI coculture and controls. A positive control slide prepared by TACS-nuclease and a specimen known to be positive for apoptotic cells were used as positive controls. Substitution of terminal deoxynucleotidyl transferase enzyme with distilled water was used as a negative control.
Apoptotic bodies were counted under a light microscope (x400) equipped with an ocular grid (10,000 µm2). The area with highest positive stain was selected for counting. The number of apoptotic bodies was determined in a total of
2,000 prostate cancer cells, normalized to 100 cells, and defined as apoptotic index. At least 10 representative areas without necrosis were selected. Positively staining cells or bodies located in the stroma and lumen were excluded because these apoptotic cells or bodies might have originated from other cell types.
Western blotting. To test if secreted cav-1 was present in our cocultures, we used Western blots with antibodies against cav-1 (polyclonal cav-1 antibody, Santa Cruz Biotechnology) in the supernatant obtained from the in vitro cocultures (DRG/DU145) and the controls (DU145 alone and DRG alone) using methodology described previously (4).
Immunoperoxidase. Expression of cav-1 and TGF-ß1 protein in histologic sections was analyzed by immunohistochemistry. The following primary antibodies were used: polyclonal anti-cav-1 antibody (polyclonal IgG, 1;10 dilution, 30-minute incubation time; Santa Cruz Biotechnology) and TGF-ß1 (polyclonal IgG, 1;10 dilution, 30-minute incubation time; Santa Cruz Biotechnology). The secondary biotinylated antibody was applied for 30 minutes followed by 30 minutes of incubation with streptavidin peroxidase (LSAB + HRP kit; DAKO). After rinsing, slides were visualized by diaminobenzidine chromogen solution (DAKO, Philadelphia, PA) and counterstained with routine hematoxylin.
Assessment of immunostaining. All stained slides were digitized using an automated slide scanner (Bacus Laboratories, Lombard, IL) to produce an image of every dot and also inform the dot coordinates on the slide. Each image was interpreted for immunoreactivity using a 0 to 3+ semiquantitation scoring system for both the intensity of stain and percentage of positive cells (percentage labeling frequency). For the intensity, the grading scale ranged from no detectable signal (0) to strong signal seen at low power (3). A moderate signal seen at low to intermediate power was designated 2, whereas 1 indicated a weak signal seen only at intermediate to high power. Labeling frequency was scored as 0 (0%), 1 (1-33%), 2 (34-66%), or 3 (67-100%). The multiplicative index of intensity and labeling was considered for analysis in the case of TGF-ß1. The multiplicative index was obtained by totaling the scores of intensity and percentage (i.e., if the intensity score was 3 and the labeling index 2, the multiplicative index is 6). For cav-1 expression analysis, we used only the intensity of stain.
Positive staining of Ki-67 was confined to the nucleus. The proliferation index was defined as the ratio of KI-67-positive cancer cells to total cancer cells in the highest positive stain fields (at least 2,000 cells in multiple fields), using a microscopic grid at x400 magnification. In the cav-1 knockout experiment, we compared the proliferative indices from days 2 and 5. We divided the former by the latter to obtain the rate of change in the proliferation index.
Statistical analysis. Comparisons between indices of proliferation and apoptosis were done using Mann-Whitney nonparametric tests. Logistic regression was used to account for interexperimental variability for these comparisons. P < 0.05 were considered statistically significant. All analyses were done using the SPSS 12.0 software package (SPSS, Inc., Chicago, IL).
| Results |
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50% in the cav-1 knockoutderived supernatant compared with wild-type control supernatant (151 versus 93). It is well known that prostate cancer cells produce cav-1, and it is most likely that the residual cav-1 present in the supernatant comes form the cancer cells. More importantly, we identified a decrease in the rate of change in the proliferation index from day 2 to 5 in the cav-1 knockout PNI model cells compared with those in the controls. The decrease in proliferative index was significant after adjustment for interexperiment variability (D + N: mean = 0.2555, median = 0.2370/D + N-cav: mean = 0.1892, median = 0.2072; P = 0.0393; Fig. 4
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| Discussion |
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All carcinomas have two major components; the epithelium, which is regarded as the malignant element and the supporting stroma, which we regard as a reactive and regulatory element. We have previously shown that the stroma in the prostate responds to cancer development with a generic type of a wound repair type process (12, 13). Available evidence suggests that initial carcinoma growth is stromal dependent, where the stroma is permissive and supporting, and is regulated through paracrine interactions with the carcinoma cells (12, 14). However, the influence of stromal elements, other than the myofibroblast, has been understudied in cancer research. Vessels and nerves have been considered targets for cancer involvement, and not active participants in the progression of disease. The supporting function of the perineurium and nerves has not been adequately addressed.
The in vitro PNI model has enabled us to study mechanisms that might be related to the inhibition of apoptosis in the perineural space as it reproduces PNI with great fidelity (1). We presume that the perineural space is a favorable microenvironment that plays a critical role in nerve-epithelial interactions to facilitate prostate cancer growth and PNI. The nerves not only give cancer a route through which to spread, but also provides a microenvironment that is advantageous for growth through inhibition of apoptosis and increased proliferation (13). Previously, we showed that the increase in proliferation and the decrease in apoptosis are regulated, in part, through the nuclear factor-
B (NF-
B) pathway and it downstream effectors Pim-2 and defender against death (3). We do not consider the activation of multiple antiapoptotic pathways (i.e., the cav-1 pathway and the NF-
B pathway) in prostate cancer to be unusual. In fact, it is common to have redundant mechanisms that promote malignant progression. The NF-
B pathway is an intrinsic epithelial pathway, whereas the currently described cav-1 pathway involves stromal-epithelial interactions.
Cav-1 is expressed predominantly by the stroma, but is also overexpressed in a proportion of prostate cancer cases. It was also associated with increased viability of prostate cancer cell lines and adverse prognosis in patients (15). Cav-1 has also been found in neurons and nerves (8). Caveolae-like domains purified from neuronal plasma cell membranes contain receptor tyrosine kinases, including insulin and neurotrophin receptors, Trk-B, and p-75 nerve growth factor receptors (16, 17). Direct interactions between cav-1 and neurotrophin receptors, such as Trk-A, Trk-B, and p75, may have functional consequences in the regulation of different pathways including those related to apoptosis (18). It is important to note that p75 is a negative regulator of prostate cancer growth through induction of apoptosis (19).
Our studies have shown that cav-1 is expressed by the perineurium of nerves in the prostate. This expression is increased significantly in the presence of PNI. Whether this increased expression is due to nerve injury caused by tumor infiltration remains to be established. Importantly, cav-1 was detected in conditioned medium from androgen-insensitive mouse and human prostate cancer cells (DU145, PC3, and TSU-Pr1) in variable amounts. Cav-1 was also expressed in high-passage LNCaP cells and secreted into the medium, but not expressed in low-passage LNCaP cells. In contrast, nonprostatic cells, such as endothelial, fibroblast, and smooth muscle, had a substantial amount of intracellular cav-1, yet minimal or nondetectable levels of cav-1 in their conditioned medium (4). We have shown that cav-1 is increased in the perineurium and also secreted into the microenvironment in the late stages of PNI. It is important to note that we only identified cav-1 in the coculture supernatant starting on day 11, when full contact between cancer cells and nerves had been established, although there has been some biological variability in the process. The supernatant experiment data indicates that secreted factors are responsible, at least in part, for the survival advantage shown by cells in the perineurium.
Invasion produces injury and wound response. It is conceivable that nerve injury produced by the invasive cancer cells is responsible for the increased expression and subsequent secretion of cav-1 into the perineural microenvironment as part of the wound-repair process. The mechanisms responsible for induction of cav-1 expression within the perineurium are unclear at this time. However, the reduction of function observed with the neutralizing cav-1 antibodies and the reduction in proliferative index when using ganglia from cav-1 knockout mice in the in vitro PNI model indicate that secreted cav-1 is involved in the regulation of growth in the perineural space.
An interactive process, such as PNI, requires integrated signaling and regulatory systems. Our previous and current findings lead us to suggest that cancer cells send signals to nerves and/or perineurium to stimulate the production of antiapoptotic substance(s), which, in turn, facilitates the growth of cancer cells and induces them to migrate along nerve trunks. When prostate cancer invades the nerve in PNI, bioactive TGF-ß1 is overexpressed by the cancer cells, as shown by the human tissue and in vitro PNI model studies, including the functional LAP experiment. We propose that cancer cellderived TGF-ß1, potentially in combination with a local wound response related to nerve injury, in turn, up-regulates cav-1 in the perineural cells, which is then secreted into the perineural microenvironment. Through this paracrine loop, secreted cav-1 can be used by the cancer cells to increase survival through down-regulation of apoptotic activities and increased proliferation. In our view, these microenvironment-driven activities are critical determinants of the increased malignant potential of prostate cancer that results from PNI.
| 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.
Received 5/26/05. Revised 2/22/06. Accepted 3/10/06.
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