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1 Institut für Biochemie, Universitätsklinikum der Rheinisch-Westfälischen Technischen Hochschule Aachen, Aachen, Germany; 2 Department of Dermatology, University of Münster, Münster, Germany; and 3 Laboratoire de Biologie et Physiologie Intégrée, Université du Luxembourg, Luxembourg
Requests for reprints: Iris Behrmann, Laboratoire de Biologie et Physiologie Intégrée, Université du Luxembourg, 162A avenue de la Faïencerie, 1511 Luxembourg, Luxembourg. Phone: 352-46664-46740; Fax: 352-46664-46435. E-mail: iris.behrmann{at}uni.lu
| Abstract |
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. Interestingly, SOCS3short interfering RNA treatment also increased the growth-inhibitory effect in cytokine-sensitive WM239 cells expressing SOCS3 in an inducible way. Thus, SOCS3 expression confers a growth advantage to these cell lines. Constitutive SOCS3 mRNA expression, although at lower levels than in 1286 cells, was found in nine additional human melanoma cell lines and in normal human melanocytes, although at the protein level, SOCS3 expression was marginal at best. However, in situ analysis of human melanoma specimens revealed SOCS3 immunoreactivity in 3 out of 10 samples, suggesting that in vivo SOCS3 may possibly play a role in IL-6 resistance in at least a fraction of tumors. (Mol Cancer Res 2007;5(2):27181) | Introduction |
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The Jak/STAT signaling pathway is subject to feedback inhibition by members of the suppressors of cytokine signaling (SOCS) family that are induced in a STAT-dependent fashion (3-5). They possess an SH2 domain and a COOH-terminal SOCS-box and inhibit Jak signaling upon binding to phosphorylated tyrosine residues of the cytokine receptors and/or to Janus kinases. Moreover, they are implicated in destabilizing their interacting partners because SOCS proteins can function as the substrate-recruiting component of ubiquitin ligases (6, 7). In several cancers, a dysregulation of SOCS expression has been observed. A tumor-suppressing function of SOCS1 and SOCS3 has been implied by reports on methylation-silenced SOCS genes in cancer cells (8-10). However, tumor cells constitutively expressing SOCS proteins may rather be indicative of a tumor-protecting function (11-15).
Cytokines play an important role in the growth regulation of melanoma cells. Although melanocytes and early stage melanoma cells are growth-inhibited by a variety of cytokines including interleukin 6 (IL-6), oncostatin M (OSM), or IFN-
, melanoma cells of advanced tumor stages are often found to be multi-cytokineresistant (16-18). We have previously shown that STAT3 plays a key role in the IL-6- and OSM-mediated growth inhibition of A375 melanoma cells, whereas STAT1 plays a crucial role in growth inhibition mediated by IFN-
(19, 20). Cytokine resistance has also been associated with an impaired STAT3 activation (21). Moreover, lack of receptor expression can contribute to cytokine resistance (22), and it has recently been discovered that melanoma progression coincides with methylation silencing of the OSMRß gene (23). On the other hand, STAT3 has been shown to be constitutively active in melanoma cell lines and primary tumors, and inhibition of STAT activity induced apoptosis (24). Thus, STAT3 may play a complex role in melanoma.
In the present study, we analyzed a human melanoma cell line insensitive to IL-6 type cytokines with respect to the underlying mechanism of resistance. The cells constitutively express high levels of SOCS3 and our data indicate that SOCS3 expression confers a growth advantage to these cells.
| Results |
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Suppression of SOCS3 Expression Breaks Cytokine Resistance of 1286 Cells
To better understand the correlation between SOCS3 expression and cytokine resistance, we suppressed SOCS3 protein expression by a short interfering RNA (siRNA) approach. Transfection of 1286 cells with SOCS3 siRNA almost completely abrogated SOCS3 mRNA expression as measured by reverse transcription-PCR (RT-PCR; Fig. 3A
). Moreover, constitutive SOCS3 protein expression was significantly reduced (Fig. 3B). SOCS3 suppression slightly (10-20%, median fluorescence channel) increased the surface expression of both gp130 and OSMR, but not of LIFR (data not shown).
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We then investigated whether down-regulation of SOCS3 expression would break the resistance of these cells towards the growth inhibitory effect of cytokines. Twenty-four hours after siRNA transfection, cells were treated with IL-6 in the presence of soluble IL-6R, and cell growth was assessed 3 days later by a 2,3-bis[2-methoxy-4-nitro-5-sulfophenyl]-2H-tetrazolium-5-carboxanilide inner salt (XTT) assay (Fig. 3D). Strikingly, SOCS3 suppression increased the growth-inhibitory effect significantly: cells treated with control siRNA were not affected by the cytokine, as shown previously for the untransfected cells (see Fig. 1A). In contrast, cells treated with SOCS3 siRNA were dose-dependently inhibited by IL-6 treatment (Fig. 3D). Similarly, upon SOCS3 suppression, the cytokine sensitivity was also evident in the time course experiment shown in Fig. 3E and F. We consistently observed values between 60% and 80% of growth compared with untreated control cells. We often also noted that SOCS3-suppressed cells grew slower than control siRNAtreated cells, even when no cytokine was added (see Fig. 3E). Two other siRNA oligonucleotides were less effective as the one used in the experiments shown here. Interestingly, their reduced effect on SOCS3 suppression was paralleled by a weaker "restoration" of STAT phosphorylation and growth inhibition, indicating that SOCS3 confers cytokine resistance in a dose-dependent manner (Supplementary Fig. S2).
Suppression of Inducible SOCS3 Expression Increases the Growth-Inhibitory Effect of IL-6 Type Cytokines in Sensitive WM239 Cells
To address the question of whether SOCS3 suppression could also enhance cytokine responsiveness in sensitive melanoma cells, WM239 cells (see Supplementary Fig. S1) were transfected with SOCS3 siRNA or with control siRNA. These cells strongly express SOCS3 after cytokine treatment (Fig. 4A
). SOCS3 siRNA reduced inducible SOCS3 expression. As previously observed in 1286 cells (Fig. 3B and C), SOCS3 suppression coincided with prominent STAT1 phosphorylation (Fig. 4A). Interestingly, suppression of inducible SOCS3 enhanced the growth-inhibitory effect of IL-6/sIL-6R and of OSM. Even without cytokine treatment, control cells grew better than SOCS3-suppressed cells (Fig. 4B). Thus, SOCS3 expression also promotes growth in sensitive melanoma cells.
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(see Supplementary Fig. S1). However, the suppression of SOCS3 expression did not sensitize 1286 cells against the growth-inhibitory effect of IFN-
(Fig. 5
) and did not enhance IFN-
mediated STAT1 phosphorylation (data not shown). This indicates that constitutive SOCS3 is not the reason for IFN-
resistance of these cells.
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| Discussion |
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IL-6 type cytokines lead to STAT3 and STAT1 tyrosine phosphorylation, although the latter is generally only observed on short-term treatment with a high dose of IL-6 (19, 27). For A375 cells, we have previously shown that STAT3 is crucial for IL-6- and OSM-mediated growth inhibition (19). The signal transduction of IL-6 type cytokines is subject to feedback inhibition by SOCS proteins, with SOCS3 playing the most important role (7). Overexpression of SOCS3 shuts off cytokine signaling: A375 cells heterologously expressing SOCS3 are resistant to the growth-inhibitory action of OSM (28). These findings are in full accordance with the results of our present study.
The "quality" of a STAT response can be modulated by the presence or absence of other proteins, as first described for cells lacking STAT3: in the absence of STAT3, IL-6 mediates a STAT1-dominated IFN-
like response (29). Interestingly, suppression of SOCS3 in 1286 cells modulated the STAT response not only quantitatively but also in a qualitative manner by drastically increasing the STAT1 response to IL-6 (Fig. 3). It has previously been described that SOCS3 can influence the pattern of STAT activation: in the absence of SOCS3, it was observed that macrophages, hepatocytes, and murine embryonic fibroblasts respond to IL-6 type cytokines with a prolonged STAT1 activation (in addition to a prolonged STAT3 activation; refs. 30-32), which could lead to the expression of IFN-
-responsive genes (31, 32). An IFN-
like response in the absence of SOCS3 was also discussed to be the cause for changing the phenotype of B7-stimulated dendritic cells from immunostimulatory to immunosuppressive (33). For A375 melanoma cells, we have previously shown that STAT1 activation can mediate growth inhibition (20). It is therefore likely that STAT1 contributes to IL-6mediated growth inhibition in SOCS3-suppressed 1286 cells. However, IL-6 does not elicit a full-blown IFN-
like response in SOCS3-suppressed 1286 cells, e.g., we did not observe an up-regulation of MHC class I expression, a hallmark of an IFN-
response (data not shown). Taken together, our data underline the role of SOCS3 not only in limiting the extent of a STAT response quantitatively but also in the "sculpting" of the STAT response in a qualitative way.
The expression of SOCS3 was previously described to be altered in cancer cells and either tumor-suppressing or tumor-protecting functions have been discussed. The SOCS3 gene was found to be silenced by promoter methylation in lung cancer, breast cancer, and mesothelioma cells as well as in primary lung cancer tissue samples (8), in hepatocellular carcinoma (9), and in squamous cell carcinoma of the head and neck (10). Restoration of SOCS3 suppressed growth and resulted in apoptosis (8-10). Although SOCS3 protein was virtually undetectable in most melanoma cells we tested prior to cytokine treatment, the SOCS3 gene is probably not silenced in melanoma cells, as the SOCS3 message could readily be detected, albeit at varying levels, in all melanoma cells as in melanocytes (Fig. 6).
In other cancers such as anaplastic large cell lymphoma, SOCS3 is overexpressed (34). Constitutive SOCS3 expression in T cell lymphoma depended on STAT3 signaling because expression of a dominant negative version of STAT3 inhibited SOCS3 expression (11, 12). Constitutively expressed SOCS3 was shown to protect chronic myeloid leukemia cells against IFN-
treatment (13, 14). Thus, for SOCS3-expressing tumors, SOCS3 may not be a tumor suppressor but rather a protector, which may be of special relevance in tumors that are treated with type 1 IFNs. However, SOCS3 expression selectively mediates the resistance of 1286 melanoma cells against IL-6 type cytokines but does not underlie their resistance to IFN-
(Fig. 5).
The suppression of constitutive SOCS3 expression slightly increased the surface expression of both gp130 and OSMR (data not shown). SOCS proteins as ubiquitin ligase components are known to affect the half-life of interacting proteins. Further studies will show whether this receptor up-regulation could contribute to cytokine sensitivity. Interestingly, in a recent study, loss of OSMR expression correlated with melanoma progression (23).
In contrast to T cell lymphoma cells (12), dominant negative STAT3 (STAT3F) did not affect SOCS3 expression in 1286 cells (Supplementary Fig. S3). We observed a down-regulation of SOCS3 expression when treating cells with a N-methyl-2-deoxyadenosine/adenosine/D,L-homocysteine inhibitor cocktail (see Supplementary Fig. S4) which affects multiple signaling pathways (35). However, more specific inhibitors of MEK and p38 did not influence SOCS3 expression (Supplementary Fig. S4), although in other situations, these signaling pathways have been implicated in the regulation of SOCS3 expression (36-38). The cDNA sequence of SOCS3 of 1286 cells shows no mutations (data not shown). Furthermore, we do not have evidence for tyrosine phosphorylation of the SOCS3 protein or for a prolonged half-life of the protein or mRNA (data not shown). Thus, the molecular basis for constitutive SOCS3 expression in 1286 cells remains to be elucidated.
Interestingly, SOCS1, another member of the SOCS family implicated mainly in IFN signaling (for a review, see ref. 39), was found to be constitutively expressed in melanoma cells (15). In this report, SOCS1 expression did not correlate with IL-6 sensitivity, but a potential involvement in growth promotion and/or IFN resistance of melanoma cells was discussed based on the detected SOCS1 immunoreactivity in situ, which increased as a function of the stage of disease (15). With regard to SOCS1 expression, melanoma cells are thus different from other cancer cells in which the SOCS1 gene is silenced by methylation, such as in pancreatic cancer (40, 41), in gastric cancer (42), in human hepatoblastomas (43, 44), and in hematopoietic malignancies (45-48). Our present analysis of 10 human melanomas indicates that SOCS3 immunoreactivity is likewise present in a portion of tumors. Further studies on a higher number of melanoma specimens are currently under way to precisely clarify whether SOCS3 behaves as a progression marker of melanoma and/or whether its in situ expression (alone or in combination with SOCS1) might correlate with IFN-
responsiveness in vivo.
| Materials and Methods |
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Human recombinant IFN-
and OSM were purchased from Peprotech (London, United Kingdom). Recombinant IL-6 and soluble IL-6 receptor were prepared as described previously (50, 51). Adenosine, D,L-homocysteine, N-methyl-2-deoxyadenosine and 5'-methylthioadenosine were purchased from Sigma (Taufkirchen, Germany) and dissolved in culture medium. SB 201290 and U0126 were purchased from Calbiochem (Darmstadt, Germany) and dissolved in DMSO.
Generation of Transfectants
The wild-type and dominant negative STAT constructs in the pCAGGS plasmid were gifts from Koichi Nakajima and Toshio Hirano (Osaka, Japan). For preparation of stable transfectants, 2 x 106 cells were transfected with 5 µg of the respective plasmid DNA using FuGENE 6 transfection reagent (Roche, Mannheim, Germany) according to the manufacturer's instructions. Transfectants were selected in the presence of 1 mg/mL of G418 (Sigma). Heterologous expression of STATs was assessed with a monoclonal antibody directed against the hemagglutinin-Tag from Cell Signaling Technology, Inc. (Frankfurt, Germany).
Growth Inhibition Assay
Viable cells (3 x 103) were seeded in triplicate into 96-microwell plates and incubated with various concentrations of cytokines in medium containing 1% FCS. After 4 days of culture, an XTT colorimetric assay (Roche, Mannheim, Germany) was done as described previously (19). The percentage of growth inhibition was calculated in relation to the growth of untreated control cells. For the experiments on time-dependence, 1.5 x 103 viable cells/well were seeded with or without cytokines and XTT tests were done after different periods of incubation.
Flow Cytometry
Cells were resuspended in cold PBS supplemented with 5% FCS and 0.1% sodium azide (PBS/azide). Cells (5 x 105 to 1 x 106) in 100 µL of PBS/azide were incubated with 1 µg/mL monoclonal antiMHC-I (Sigma), anti-OSMR (Santa Cruz Biotechnology, Heidelburg, Germany), or anti-gp130 (BR3; gifts from Dr. J. Wijdenes, Besançon, France) or polyclonal anti-LIFR (Santa Cruz Biotechnology) for 30 min at 4°C. Cells were then washed with cold PBS/azide and subsequently incubated in darkness with a 1:100 dilution of respective R-phycoerythrinconjugated secondary antibodies (Dianova, Hamburg, Germany) for 30 min at 4°C. Cells were again washed with cold PBS/azide, and then 104 cells per sample were analyzed by flow cytometry using a FACScalibur (Becton Dickinson, Heidelburg, Germany) equipped with a 488 nm argon laser.
Electrophoretic Mobility Shift Assays
Nuclear extracts were prepared according to Wegenka et al. (52), and protein concentrations were measured using a Bio-Rad (München, Germany) protein assay. Briefly, 10 fmol (10.000 cpm) of a
-32Plabeled double-stranded oligonucleotide was added to nuclear extracts containing 5 µg of protein and incubated in gel shift incubation buffer: 10 mmol/L of HEPES (pH 7.8), 1 mmol/L of EDTA, 5 mmol/L of MgCl2, 10% glycerol, 5 µmol/L of DTT, 0.7 µmol/L of phenylmethylsulfonyl fluoride, 0.1 mg/mL of poly(dI-dC), and 1 mg/mL of bovine serum albumin for 10 min at room temperature. The protein-DNA complexes were separated on a 4.5% polyacrylamide gel containing 7.5% glycerol in 0.25-fold Tris-borate EDTA at 20 V/cm for 4 h. Gels were fixed in a water solution of 10% methanol and 10% acetic acid for 30 min, dried, and autoradiographed. Data were further analyzed using a Personal FX PhosphorImager with the Quantity One software (Bio-Rad). Electrophoretic mobility shift assays were done using the m67SIE probe (m67SIE: 5'-GAT CCG GGA GGG ATT TAC GGG AAA TGC TG-3') which binds to STAT1 and STAT3.
Western Blot Analysis and Antibodies
Cells were lysed on the plate in lysis buffer containing 20 mmol/L of HEPES (pH 7.4), 1% Triton X-100, 100 mmol/L of NaCl, 50 mmol/L of NaF, 10 mmol/L of ß-glycerophosphate, 1 mmol/L of sodium vanadate, 1 mmol/L of phenylmethylsulfonyl fluoride, 1 mmol/L of benzamidine, 5 µg/mL of aprotinin, 3 µg/mL of pepstatin, and 5 µg/mL of leupeptin. Lysates were clarified at 13,000 rpm for 10 min at 4°C and protein concentration in the supernatant was determined with the Bio-Rad protein assay. Equal amounts of total cellular proteins were separated by SDS-PAGE on 12% or 7.5% gels, transferred to a polyvinylidene difluoride membrane (PALL, Germany) and probed with the respective antibodies. Rabbit antiphospho-STAT1 (Tyr701), rabbit antiphospho-STAT3 (Tyr705), mouse antiphospho-Erk1/2, mouse antihemagglutinin-Tag were from Cell Signaling Technology. Mouse anti-STAT1 and mouse anti-STAT3 were purchased from Transduction Laboratories. Rabbit anti-Jak1, mouse anti-pTyr (PY99), rabbit anti-p38, goat anti-Erk1, goat anti-Erk2, and goat anti-SOCS3 were from Santa Cruz Biotechnology. Rabbit anti-SOCS3 was purchased from IBL (Hamburg, Germany). Rabbit antiphospho-p38 was obtained from Promega (Mannheim, Germany). The horseradish peroxidaseconjugated secondary antibodies were purchased from Dako (Hamburg, Germany). Signals were detected using the enhanced chemiluminescence system (Amersham Biosciences, Freiburg, Germany). Before reprobing, blots were stripped in 2% SDS, 100 mmol/L of ß-mercaptoethanol in 62.5 mmol/L Tris-HCl (pH 6.7), for 20 min at 75°C.
SiRNA Synthesis and Transfection
All siRNAs used in this study were synthesized by Eurogentec (Seraing, Belgium) and received as desalted, preannealed duplexes in desalted-purified formats. The siRNA sequences used for targeting human SOCS3 were sense, 5'-CCAAGAACCUGCGCAUCCAdTdT-3'; antisense, 5'-UGGAUGCGCAGGUUCUUG GdTdT-3' (most-effective siRNA3). Control siRNAs (see Supplementary Fig. S1) were siRNA1 sense: 5'-AGAGCCUAUUACAUCUACUdTdT-3'; siRNA1 antisense, 5'-AGUAGAUGUAAUAGGCUCUdTdT-3'; siRNA2 sense, 5'-AGACCCAGUCUGGGACCAAdTdT-3'; siRNA2 antisense, 5'-UUGGUCCCAGACUGGGUCUdTdT-3'. A nonspecific siRNA, scrambled negative control siRNA was used as a control. Transient transfection of siRNA oligonucleotides was done at 50 nmol/L with jetSI-ENDO Transfection Reagent (Eurogentec) according to the manufacturer's protocol.
Preparation of RNA, RT-PCR Analysis, and Sequencing
Total RNA was isolated from melanoma cell lines using the RNeasy Mini kit from Qiagen (Hilden, Germany) as described by the manufacturer. Expression of SOCS transcripts was determined by RT-PCR analysis using specific primers as described previously (53). RT-PCR was done with 1 µg of total RNA using the One-Step RT-PCR kit from Qiagen. The amplification program consisted of one cycle at 50°C for 30 min, 95°C for 15 min, followed by 35 cycles at 94°C for 40 s, 58°C for 30 s, 72°C for 30 s with a final extension at 72°C for 10 min. PCR products were separated electrophoretically on 1.5% TAE agarose gels and visualized by ethidium bromide staining.
For sequencing, the cDNA of human SOCS3 was synthesized from RNA by RT-PCR using specific primers: SOCS3 forward 5'-CTGGCTCCGTGCGCCATG-3' and SOCS3 reverse 5'-GGAAGCTGAGGAATTGAAGGAGAA-3', resulting in a 1,013 bp fragment. RT-PCR products were gel-purified using a gel extraction kit (Qiagen) and cloned into pCR2.1-TOPO vector (Invitrogen) and sequenced.
Quantitative Real-time PCR
Real-time PCR was done on an ABI PRISM 7000 Sequence Detection System (Applied Biosystems, Darmstadt, Germany). The primers for human SOCS3 and ß-actin were obtained from Eurogentec. Relative quantification of SOCS3 expression was carried out using SYBR Green PCR reagents from PE Applied Biosystems (Darmstadt, Germany). Briefly, 1 µg of purified RNA was reverse-transcribed using the First Strand cDNA Synthesis Kit for RT-PCR (AMV; Roche) with random hexamers primers according to the manufacturer's description. The cDNAs for SOCS3 and internal control ß-actin were amplified using specific primers for SOCS3 (forward primer, 5'-CACCTGGACTCCTATGAGAAAGTCA-3'; and reverse primer, 5'-GGGGCATCGTACTGGTCCAGGAA-3') or for ß-actin (forward primer, 5'-CCCTGAGGCACTCTTCCAG-3'; and reverse primer, 5'-TGCCACAGGACTCCATGCCC-3'). The PCR reaction was done in a final volume of 25 µL containing 2.5 µL of cDNA, 100 nmol/L of each primer, 12.5 µL of SYBR Green PCR buffer (Applied Biosystems). After denaturing for 15 min at 94°C, amplification was done by 40 cycles of 15 s at 94°C, and a combined annealing/extension step of 60 s at 60°C using the ABI prism 7000 (Applied Biosystems). SOCS3 and ß-actin were amplified independently in separate reaction wells in triplicate. The real-time PCR efficiencies were determined for each primer/probe set from standard curves generated from serial dilutions of a cDNA sample of OSM-stimulated human melanoma A375 cells. The quantification of gene expression was calculated using a mathematical model including the PCR efficiencies (54). The level of SOCS3 gene expression in the test samples was normalized to the corresponding ß-actin level and is reported as the fold difference.
Immunohistochemistry
Human melanoma specimens (n = 10) derived from patients undergoing routine surgery for therapeutic or diagnostic reasons were examined. Analysis and processing of these samples was previously approved by the ethical committee of the University of Münster, Münster, Germany. The specimens included early primary cutaneous melanomas with Clark level II (n = 2), Clark level III (n = 3), Clark level IV (n = 2), Spitzoid melanoma (n = 1, Clark level IV), and melanoma metastases (n = 2). Specimens were fixed in 7% buffered paraformaldehyde, dehydrated, embedded in paraffin, and mounted on Tissue-Tek (Mikrom, Walldorf, Germany). Paraffin-embedded sections were subsequently deparaffinized by routine methods followed by epitope unmasking with proteinase K (Dako, Hamburg, Germany) for 10 min at room temperature in a wet chamber. After washing with PBS, sections were stained at 1:100 with a polyclonal antibody against SOCS3 (IBL) for 45 min. Negative controls consisted of the isotype control IgG incubated at the same protein concentration as the primary antibody. After washing, sections were further processed for immunoperoxidase staining using the Polylink system from DCS (Hamburg, Germany) and AEC as substrate. Sections were finally counterstained with Mayer's hematoxylin (Merck, Darmstadt, Germany). Immunostaining steps were semiautomatically processed by the Autostainer 480 (Mikrom).
| Acknowledgements |
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| Notes |
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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.
Note: Supplementary data for this article are available at Molecular Cancer Research Online (http://mcr.aacrjournals.org/).
Received 8/25/06; revised 12/22/06; accepted 1/23/07.
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