
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Tumor Biology Section, Head and Neck Surgery Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, Maryland
Requests for reprints: Zhong Chen, Tumor Biology Section, Head and Neck Surgery Branch, National Institute on Deafness and Other Communication Disorders, NIH, 10/5D55, MSC-1419, Bethesda, MD 20892-1419. Phone: 301-435-2073; Fax: 301-402-1140. E-mail: chenz{at}nidcd.nih.gov
| Abstract |
|---|
|
|
|---|
| Introduction |
|---|
|
|
|---|
Constitutively activated STAT3 in HNSCC is an important proliferative and prosurvival signal in vitro and in vivo (28). EGFR and its ligand, transforming growth factor-
(TGF-
), which are overexpressed in most HNSCC, were first shown to contribute to activation of STAT3 in HNSCC (24, 14, 15). We showed that IL-6, another potential activator of STAT3, is also often expressed in tumor and serum of patients with HNSCC when compared with the normal subjects (16). IL-6 protein expressed in HNSCC culture supernatants was found to induce phosphorylation of STAT3 by IL-6R signaling and proliferation (17). In a subsequent study, Sriuranpong et al. reported that only 3 of 10 HNSCC cell lines exhibited moderate to strong activation of STAT3 by EGFR, and constitutive STAT3 activation was regulated by IL-6R in the majority of the lines independent of the EGFR pathway (18). Results of a recent clinical trial with EGFR tyrosine kinase inhibitor are consistent with an EGFR-independent mechanism of signal activation of STAT3 in patients with HNSCC. Patients receiving gefitinib (Iressa, ZD1839) showed inhibition of EGFR and mitogen-activated protein kinase signal phosphorylation but not STAT3 phosphorylation (19). Together, these data suggest that STAT3 activation may be mediated by IL-6 and/or EGFR in HNSCC. These alternative mechanisms of activation could have important implications for effectiveness and design of molecularly targeted therapy.
The basis for the apparent differences in the role of IL-6R and EGFR observed in these studies is poorly understood. We hypothesized that both IL-6R and EGFR are important in signal activation of STAT3; however, different intermediate signal pathways or negative regulators may determine the different responses in heterogeneous HNSCC cells. Activation of STAT3 following IL-6R gp130 phosphorylation has been shown to involve recruitment and phosphorylation of Janus-activated kinases (JAK; refs. 10, 11), whereas EGFR has been reported to activate STAT3 either directly or through Ras/mitogen-activated protein kinase/extracellular signal-regulated kinase (ERK) kinase (MEK)mediated mechanisms (20, 21). Conversely, STATs may be negatively regulated by a recently discovered novel gene family named suppressors of cytokine signaling (SOCS). Silencing of SOCS-1 expression by methylation has been observed in hepatocellular carcinoma, resulting in the increased sensitivity of JAK activation in response to cytokines, constitutive activation of STATs, and abnormal growth (22).
In the present study, we examined HNSCC lines expressing both IL-6 and TGF-
for possible differences in signal activation by IL-6R gp130, EGFR, JAK, and mitogen-activated protein kinase and for expression of SOCS-1. Using receptor ligands and pharmacologic antagonists, we showed that EGFR and IL-6R induce STAT3 activation through JAK or MEK pathways in a cell-specific manner. The specific pattern of signal activation was determined by the status of SOCS-1 expression. Silencing of SOCS-1 expression in two HNSCC cell lines was found to be due to promoter hypermethylation, and suppression of IL-6-mediated STAT3 activation could be restored by demethylation or transient expression of SOCS-1. Hypermethylation of SOCS-1 was also detected in about one-third of tumors in situ. Our results show that IL-6 and EGFR make different contributions to the activation of JAK/STAT pathways in different HNSCC. Methylation and loss of SOCS-1 expression may be one factor contributing to the preferential activation of STAT3 by the IL-6R/JAK pathway and can be detected in tumor as a potential marker for use in selection of therapy.
| Materials and Methods |
|---|
|
|
|---|
were purchased from R&D Systems (Minneapolis, MN). Phosphospecific and non-phosphospecific antibodies and control cell extract for STAT3 and ERK1/2 were purchased from Cell Signaling Technology, Inc. (Beverly, MA). Anti-IL-6R monoclonal antibody was obtained from Biosource International (Camarillo, CA). Anti-EGFR C225 monoclonal antibody was from Calbiochem-Novabiochem. Anti-Jak1 monoclonal antibody was from Transduction Laboratories (Lexington, KY). Goat polyclonal anti-EGFR antibody, goat polyclonal anti-phosphorylated gp130, rabbit polyclonal anti-gp130 antibody, rabbit polyclonal anti-Jak2 antibody, mouse monoclonal anti-STAT3 antibody, mouse monoclonal anti-phosphotyrosine antibody, and protein G Plus agarose were from Santa Cruz Biotechnology (Santa Cruz, CA). The Bicinchoninic Acid Protein Assay and SuperSignal West Pico Chemiluminescent Detection kits were obtained from Pierce (Rockford, IL). STAT3 luciferase reporter construct (pSTAT3-TA-Luc) was purchased from Clontech (Palo Alto, CA). The plasmid containing human SOCS-1 cDNA (pORF5-hSOCS-1) and control plasmid (pORF5) were obtained from InvivoGen (San Diego, CA). The STAT3ß dominant negative (pIRES-STAT3ß) and backbone plasmid (pIRES-EGFP) encoding enhanced green fluorescence protein were kindly provided from Drs. James Turkson and Richard Jove (H. Lee Moffitt Cancer Center and Research Institute, University of South Florida College of Medicine, Tampa, FL). The construction and characterization of pIRES-STAT3 has been described previously (23). The constitutively activated MEK mutant (pcDNA III-MEK EE) and MEK dominant negative (pcDNA III-MEK AA) were provided by Dr. Silvio Gutkind (National Institute of Dental and Craniofacial Research, NIH, Bethesda, MD). The pCMV-LacZ construct was made in our laboratory and consists of a LacZ gene inserted between the cytomegalovirus promoter and BGH polyadenylate signal sequence in pcDNA3 (Invitrogen, Carlsbad, CA).
Western Blot and Immunoprecipitation
Whole-cell lysates (20 µg) were mixed with Laemmli loading buffer (containing ß-mercaptoethanol) and heated at 100°C for 5 minutes. The samples were loaded onto 10% Tris-glycine precast gels and electrophoresed at 140 V for 90 minutes. The proteins were transferred to 0.45-µm nitrocellulose membranes (Invitrogen) for 2 hours at 20 V at room temperature using the Invitrogen Gel Blot Module. Immunoblotting for EGFR, gp130, phosphorylated gp130, and STAT3 was conducted according to the manufacturer's specifications. Primary antibodies were diluted in 5% nonfat powdered milk prepared from TBS-Tween 20 as follows: 1:500 for phosphorylated gp130, Jak1, Jak2, and STAT3 and 1:1,000 for phosphorylated and nonphosphorylated STAT3, ERK1/2, EGFR, and gp130. For immunoprecipitation experiments, total EGFR, Jak1, and Jak2 were immunoprecipitated from 500 µg whole-cell lysates according to the manufacturer's protocol. Each blot was incubated with SuperSignal West Pico substrate and exposed to Kodak X-OMAT film.
Tissue Array, H&E Staining, and Immunohistochemistry
Formalin-fixed and paraffin-embedded HNSCC tissue array was obtained from Cybrdi, Inc. (Gaithersburg, MD). The array contains HNSCC tumor tissues from 20 individuals and spotted in triplicates plus normal mucosa tissues from 6 normal subjects and spotted in duplicates. Each array spot was 1.5 mm in diameter and selected by the certified pathologist with histologic H&E and immunohistochemical pan-cytokeratin stainings. The tissues were sectioned 5 µm in thickness. H&E staining and immunohistochemistry were done according to the manufacturer's protocol.
STAT3-Binding Assay
The STAT3-binding activity was evaluated using a TransAM STAT family transcription factor assay kit (Active Motif, Carlsbad, CA) according to the manufacturer's protocol. The absorbance was measured at wavelength of 655 nm by a microplate reader (Biotek, Winooski, VT).
3-(4,5-Dimethylthiazol-2-yl)-2,5-Diphenyltetrazolium Bromide Assay
A total of 5 x 103 UMSCC-9, UMSCC-11A, or UMSCC-38 cells were plated in each well of a 96-well microtiter plate and incubated overnight. The cells were then washed twice with PBS and exposed to inhibitors in medium at the concentrations indicated. Cell density was determined using a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide cell proliferation assay (Boehringer Mannheim, Indianapolis, IN). Colorimetric absorbance was measured at 570 nm by a microplate reader (Bio-Tek, Winooski, VT). This procedure was repeated at days 1, 3, and 5 after treatment.
Flow Cytometry
UMSCC cells treated with different inhibitors were incubated for 48 hours before harvesting. Both live monolayer cells and dead nonadhesive cells were collected and counted by hemocytometer with trypan blue solution (Invitrogen). The cells were stained with propidium iodide provided by Cycletest Plus DNA Reagent kit (Becton Dickinson, San Jose, CA) following the manufacturer's suggestions. DNA staining was quantified by FACScan flow cytometer (Becton Dickinson) using CellQuest software (Becton Dickinson). Cell cycle and DNA degradation of cells were analyzed by ModFit LT software (Verity Software House, Inc., Topsham, MA).
Real-time and Regular Reverse Transcription-PCR
The RNA expression was detected by real-time quantitative PCR using the Assays-on-Demand Gene Expression assay. Total RNA was prepared using Trizol reagent (Invitrogen) according to the manufacturer's protocol. cDNA synthesis was done by using High-Capacity cDNA Archive kit (Applied Biosystems, Foster City, CA) to synthesize single-stranded cDNA according to the manufacturer's protocol. PCR was done together with endogenous control using eukaryotic 18S rRNA. Relative quantitation of the expression was done by normalizing the target gene signals with the 18S endogenous control.
To detect SOCS-1 gene expression, cDNA synthesis was done by using 3 µg total RNA reverse transcribed with Moloney murine leukemia virus reverse transcriptase (Boehringer Mannheim). PCR was carried out using 1 µg cDNA template in a total volume of 50 µL using 2 units Taq polymerase (Boehringer Mannheim) on a Perkin-Elmer GeneAmp PCR System 9700 (Applied Biosystems). The forward and reverse primers for SOCS-1 and glyceraldehyde-3-phosphate dehydrogenase are as follows: SOCS-1 5'-CACGCACTTCCGCACATTCC-3' and 5'-TCCAGCAGCTCGAAGAGGCA-3' and glyceraldehyde-3-phosphate dehydrogenase 5'-ATCACCATCTTCCAGGAG-3' and 5'-GCCATCCACAGTCTT-3'. The PCR for both genes was cycled at 94°C for 30 seconds, 60°C for 30 seconds, and 72°C for 1 minute. After 30 cycles, 10 µL aliquots were run on 1.5% agarose gels containing ethidium bromine and photographed.
DNA Modification and Methylation-Specific PCR
DNA from UMSCC cells was extracted by using DNA extraction kit (Boehringer Mannheim). Bisulfite modification of DNA (1 µg) was carried out by the CpGenome DNA Modification kit (Intergen, Purchase, NY) according to the manufacturer's suggestion. The bisulfite-modified DNA samples were amplified by primers specific for both methylated and unmethylated sequences. The primer sequences for detecting methylated for SOCS-1 were 5'-GTTCGGTTTCGTTTAGTTTTCGAGG-3' (forward) and 5'-ACCCCGACCGACCGCGATCTC-3' (reverse), whereas 5'-GTTTGGTTTTGTTTAGTTTTTGAGG-3' (forward) and 5'-ACCCCAACCAACCACAATCTC-3' (reverse) were used for unmethylated sequence detection (24). PCR products were analyzed in 2% agarose gel stained with ethidium bromide. The PCR products were also sequenced for confirmation.
Transient Transfection and Luciferase Reporter Assays
UMSCC-9, UMSCC-11A, and UMSCC-38 cells were seeded at 5 x 105 per well in 24-well culture plates. On the following day, the cells were cotransfected with pSTAT3-TA-Luc at 0.1 µg/well, corresponding plasmids at 0.3 µg/well, and internal control plasmid pCMV-LacZ at 0.02 µg/well. The transfection was carried using Effectene transfection reagent (Qiagen, Valencia, CA) according to the manufacturer's protocol. Each transfection was carried out in quadruplicate fashion. Three hours after transfection, the cells were stimulated with 10 ng/mL IL-6 or 5 ng/mL TGF-
for 24 hours. The cell lysates were collected and the luciferase activity was measured using Dual-Light reporter gene assay (Tropix, Bedford, MA) on Monolight 2010 luminometer according to the manufacturer's instructions (Analytical Luminescence Laboratory, San Diego, CA). ß-Galactosidase activity was determined to verify the reproducibility of each transfection experiment and the relative STAT3 luciferase activity was calculated by dividing the STAT3 luciferase activity with ß-galactosidase activity in each transfection experiment.
| Results |
|---|
|
|
|---|
on phosphorylated and total STAT3 expression in a panel of UMSCC lines that were characterized in previous studies for IL-6R and EGFR (17, 25). Figure 1A
shows a Western blot of phosphorylated and total STAT3 expression in HNSCC lines UMSCC-9, UMSCC-11A, and UMSCC-38. Constitutive phosphorylation and expression of STAT3 is detectable in all cell lines. Both anti-IL-6R and anti-EGFR antibodies had inhibitory effects on STAT3 phosphorylation, but differences were observed among the cell lines. Anti-IL-6R antibody was found to inhibit constitutive STAT3 activation in all three UMSCC cells, and this inhibition was more complete in UMSCC-9 and UMSCC-38 relative to UMSCC-11A. In contrast, treatment with anti-EGFR antibody, C225, partially blocked STAT3 phosphorylation in UMSCC-11A cells but had no significant effect on STAT3 activity in UMSCC-9 and UMSCC-38. The strongest inhibition of constitutive STAT3 phosphorylation in UMSCC-11A cells was achieved when cells were treated with both antibodies simultaneously, suggesting that signals from both receptors contribute to STAT3 activation in UMSCC-11A cells. Because anti-IL-6R antibody inhibited STAT3 phosphorylation in all cell lines, the response of the cells to recombinant IL-6 was assessed. Recombinant IL-6-induced STAT3 phosphorylation in all cell lines and similar differences in the pattern of inhibition were observed when recombinant IL-6 ligand was added in the presence of the inhibitory antibodies. The results indicate that the contribution of IL-6R and EGFR to STAT3 activation can vary in different HNSCC cells.
|
. All UMSCC cells, but not human normal keratinocytes, exhibited constitutive phosphorylation of STAT3, IL-6R subunit gp130, and EGFR (Fig. 1B). UMSCC-11A exhibited a higher level of phosphorylated STAT3 relative to the other cells, and this was associated with a higher level of both phosphorylated IL-6R gp130 and EGFR (Fig. 1B). All three UMSCC cell lines exhibited total STAT3, IL-6R gp130, and EGFR at similar levels to that detected in human normal keratinocytes, indicating that the differences in constitutive activation of STAT3 between UMSCC and human normal keratinocytes and among the UMSCC lines could not be attributed to simple variation in receptor expression. When cells were stimulated by exogenous recombinant IL-6, an increase in gp130 and STAT3 phosphorylation, but not on EGFR activation, was observed in all UMSCC cells and human normal keratinocytes, indicating that the IL-6R/STAT3 pathway is functionally intact and activated independent of EGFR (Fig. 1B). Two bands were detected by gp130 antibody on the Western blot, consistent with unmodified and glycosylated forms reported previously (26). The gp80 component of the IL-6R was also detected in UMSCC cell culture supernatants but not by Western blot analysis (data not shown). We further investigated the effect of EGFR signaling on STAT3 phosphorylation (Fig. 1C). TGF-
stimulated EGFR phosphorylation in both UMSCC-11A and UMSCC-38 cells but only induced STAT3 phosphorylation in UMSCC-11A cells (Fig. 1C). The EGFR tyrosine kinase inhibitor, PD153035, inhibited phosphorylation of EGFR in both cells but only affected STAT3 phosphorylation in UMSCC-11A cells (Fig. 1C). Thus, the differences in activation of STAT3 attributable to IL-6R and EGFR in the different cell lines were not related to lack of phosphorylation or expression of IL-6R and EGFR.
Expression of IL-6, TGF-
, and Phosphorylated STAT3 in HNSCC Cell Lines and Tissues
Expression of IL-6 and TGF-
mRNA and protein was characterized in the panel of UMSCC cells by quantitative real-time reverse transcription-PCR and ELISA (Fig. 1D). Different levels of IL-6 (top) and TGF-
(bottom) expression were detected among UMSCC cell lines and consistent between mRNA and protein detection. UMSCC-11A cells expressed both genes and proteins at higher levels relative to the other cell lines (Fig. 1D), which was consistent with higher level of phosphorylation of STAT3, gp130, and EGFR observed (Fig. 1AC).
To verify whether constitutive STAT3 activation is detected in tumor tissue as well as in cell lines, the presence of phosphorylated STAT3 was examined in HNSCC tissue array by immunohistochemisty. Seventy-five percent (15 of 20) of HNSCC specimens showed increased phosphorylated STAT3 when compared with normal mucosa, as shown in representative specimen (Fig. 1E), consistent with the common detection of STAT3 activation in HNSCC cell lines and tissues (24, 17, 18; this study).
Activation of JAK or MEK Pathways by IL-6R and EGFR
We further examined the phosphorylation of kinases downstream of IL-6R and EGFR and response to pharmacologic inhibitors to identify possible mechanism(s) for the differential activation of STAT3 by IL-6R and EGFR in different HNSCC. Because regulation of STAT3 activation by IL-6 through JAK pathways has been established previously in lymphoid cells (27, 28), we examined the JAK pathway involvement in IL-6 and EGFR signaling in the UMSCC cells. All three cell lines exhibited constitutive phosphorylation of Jak1 and Jak2, and UMSCC-11A showed the highest levels, which is consistent with the strong IL-6 expression and IL-6R phosphorylation observed. Although IL-6 induced STAT3 activation in all three cell lines, IL-6 induced phosphorylation of Jak1 and Jak2 only in UMSCC-9 and UMSCC-38 cells. Using the chemical inhibitor piceatannol for Jak1 or AG490 for Jak2, we showed that inhibitor alone only partially blocks STAT3 phosphorylation in UMSCC-9 and UMSCC-38 cells (Fig. 2A and B
), whereas a combination of the two inhibitors achieved complete inhibition of STAT3 activation (Fig. 2C). Surprisingly, in UMSCC-11A cells, IL-6 increased STAT3 activation without affecting Jak1 and Jak2 phosphorylation. The JAK inhibitors only suppressed constitutive and IL-6-induced phosphorylation of Jak1 and Jak2 but not STAT3, indicating the potential existence of a JAK-independent pathway regulating STAT3 activation in UMSCC-11A cells.
|
or inhibited by PD153035 in both UMSCC-11A and UMSCC-38 cells, but the modulation of STAT3 phosphorylation was only observed in UMSCC-11A cells. EGFR signaling had no effect on Jak1 and Jak2 phosphorylation. These data clearly show that IL-6- and TGF-
-mediated STAT3 activation is mainly regulated through MEK pathway in UMSCC-11A cells.
Effects of JAK and MEK Inhibitors on STAT3-Binding Activity
Having shown the effects of JAK and MEK inhibitors on STAT3 phosphorylation, we next extended the study to how these inhibitors affect STAT3 DNA-binding activity (Fig. 3
). UMSCC-11A exhibited the strongest constitutive STAT3-binding activity followed by UMSCC-9 and UMSCC-38, which is consistent with the results of STAT3 phosphorylation described previously. When cells were preincubated with a single inhibitor for 24 hours, STAT3-binding activity in UMSCC-9 and UMSCC-38 was hindered in the presence of JAK inhibitor piceatannol or AG490 but not by MEK inhibitor UO126. STAT3 activity was further deceased in UMSCC-9 and UMSCC-38 when treated with both JAK inhibitors. In contrast, STAT3 binding in UMSCC-11A was only inhibited by U0126 but not by JAK inhibitors. Combination of JAK inhibitor AG490 and MEK inhibitor U0126 did not potentiate the decrease of STAT3 activity significantly. Taken together, these findings further show that the JAK and MEK pathways are differentially involved in regulation of STAT3 activation and binding activity in different HNSCC, which is consistent with the results above.
|
30%. Higher doses of AG490 (10 µmol/L) completely suppressed cell growth in all cell lines in association with visible cytotoxic effects (data not shown). Although 10 µmol/L UO126 completely inhibited ERK and STAT3 phosphorylation, 10 and 30 µmol/L UO126 inhibited cell growth by only
30% in UMSCC-11A cells. In addition, when we tested cell apoptosis induced by the chemical inhibitors, MEK inhibitor U0126 significantly induced UMSCC-11A cell apoptosis, whereas JAK inhibitors had a greater proapoptotic effect on UMSCC-9 and UMSCC-38 (Fig. 4B). Taken together, these results showed that different UMSCC cells exhibit differences in sensitivity to growth inhibition and apoptosis by inhibitors specific for JAK or MEK.
|
|
|
| Discussion |
|---|
|
|
|---|
In the present study, we showed that in UMSCC-9 and UMSCC-38 cells, where IL-6R and EGFR and their ligands were expressed and activated (Fig. 1), SOCS-1 methylation and inactivation could preferentially favor IL-6- and JAK-mediated signaling and activation of STAT3 (Figs. 2 and 5). In UMSCC-38 cells, the EGFR stimulator TGF-
and the inhibitor PD153035 were able to alter the phosphorylation of EGFR and ERK but not STAT3 (Figs. 1C and 2F), and genetic manipulation of MEK did not affect STAT3 reporter activity (Fig. 2E, bottom). All the evidence above supports the hypothesis that STAT3 activation is mainly through IL-6R/JAK pathway in UMSCC-38. In contrast, both EGFR and IL-6R pathways contributed to activation of STAT3 via MEK and ERK, independent of JAK (Figs. 1 and 2), in SOCS-1-expressing UMSCC-11A cells (Fig. 5). IL-6 or TGF-
was able to induce ERK and STAT3 activation through IL-6R or EGFR phosphorylation (Figs. 1 and 2), and chemical inhibitors of JAK and genetic alteration of MEK significantly affected STAT3 activation (Fig. 2). Such different dominant receptor/pathway combinations for STAT3 activation may have important clinical implications. Recently, several clinical trials of gefitinib, a EGFR tyrosine kinase inhibitor, have been concluded in cancer patients, including lung, head and neck, and colorectal cancers, and the clinical efficacy was limited (3537). Although gefitinib significantly suppressed EGFR phosphorylation and mitogen-activated protein kinase activation, the STAT3 phosphorylation level remained high in skin specimens of the patients (19). Because the single-agent targeting at EGFR alone did not reach the expected clinical efficacy in these recent trials, it has been speculated that the activation of STAT3 or other downstream pathways independent from EGFR activation may have contributed to the resistance and clinical outcomes. Our results show that STAT3 activation is mediated by IL-6R or EGFR, through either JAK (UMSCC-9 and UMSCC-38) or MEK (UMSCC-11A), providing evidence that multiple pathways should be selectively targeted in patients with HNSCC to reach the maximal clinical efficacy.
Although several studies showed previously that the activation of the JAK pathway is critical for the constitutive and IL-6-induced STAT3 activation in HNSCC, breast cancer, and myeloma (11, 18, 21, 27, 28), the role of JAK components and negative regulators in JAK-STAT3 activation in cancer cells have not been clearly defined. Our study suggests that both Jak1 and Jak2 are required for the constitutive and IL-6-induced STAT3 activation in UMSCC-9 and UMSCC-38 cells. We provided evidence that the dominant contribution of the IL-6/JAK pathway to STAT3 activation in UMSCC-9 and UMSCC-38 was due to the loss of SOCS-1 expression by epigenetic hypermethylation of the SOCS-1 promoter (Fig. 5). Restoration of STAT3 inhibition by demethylating agent or transient expression of SOCS-1 inhibited JAK-mediated STAT3 activation in UMSCC-9 and UMSCC-38 cells but not for MEK-mediated STAT3 activation in UMSCC-11A cells (Figs. 5 and 6), which is consistent with the findings by Rottapel et al. in v-Src-transformed cells (30). In our study of UMSCC-9 and UMSCC-38 cells, where the constitutive and IL-6-induced STAT3 activation was mediated by both Jak1 and Jak2, SOCS-1 could directly inhibit JAK activity and lead to subsequent STAT3 inhibition (3840). In addition, our data clearly showed that EGFR activation did not affect JAK activation in all cell lines (Fig. 2F). Whereas the JAK-mediated STAT3 activation has been well studied, the role of MEK-mediated STAT3 activation seems unclear. Some studies indicate that MEK may promote the phosphorylation of a specific serine residue at 727 within the transcriptional activation domain of STAT3, which either contributes to the maximal transcription activity or induces the negative regulation of STAT3 activity, depending on the specific cell lines or stimuli (41, 42). A more detailed study on MEK regulation on STAT3 activation is needed in UMSCC-11A and other HNSCC cells in vitro and in vivo.
Apart from JAK and MEK, further studies are needed to examine the possible regulatory effects of other members of SOCS family. Recent studies on mouse hepatocytes or macrophages suggest that SOCS-3 may also be involved in the negative regulation of IL-6 in vivo. SOCS-3/ mice showed elevated IL-6 and activation of STAT1 and STAT3, whereas SOCS-1/ mice showed enhanced STAT1 phosphorylation in response to IFN-
(43). These findings provided further evidence that the SOCS family is important in STAT regulation and the role of SOCS family members may vary in different cell types. Development of HNSCC cell lines expressing constitutive JAK or SOCS family members, or specifically knocking out the genes will be helpful in determining the relative importance of these and other members of the JAK and SOCS families.
It has been proposed that SOCS-1 may act as a tumor suppressor gene, as its expression has been shown to have antitumor effects through attenuation of signal by IL-6R (44). Aberrant DNA methylation of CpG islands is usually associated with the silencing of tumor suppressor genes in human malignancies (45, 46), and this phenomenon seems to be nonrandom and occurs in certain tumors (47). Aberrant methylation of other genes related to growth regulation, cell cycle, and DNA repair has been shown in HNSCC (48, 49). In the case of SOCS-1, aberrant methylation has been observed in other tumors that actively express IL-6, such as hepatocellular carcinoma (22, 31, 33), multiple myeloma (32), gastric carcinoma (50), and colorectal cancer (51). The frequency of aberrant methylation of SOCS-1 was 65% and 63% in hepatocellular carcinoma and in multiple myeloma patients, respectively. We observed SOCS-1 hypermethylation in 2 of 8 (25%) UMSCC cell lines (Fig. 5; data not shown) and 2 of 5 (40%) of microdissected HNSCC tissues (Fig. 5), indicating that the prevalence may be lower than observed in hepatocellular carcinoma. Other than epigenetic alteration, it has been reported that viruses, such as hepatitis C virus, could activate STAT3 through JAK (52). Therefore, it may also be interesting to examine the potential effects of viruses frequently associated with HNSCC, such as EBV and human papillomavirus, on STAT and SOCS-1 regulation.
Our study suggests several strategies for molecularly targeted therapy aimed at the STAT3 signal transduction pathway. First, inhibition of both IL-6R and EGFR, JAK and MEK, or STAT3 further downstream may be required for coverage of patients with different dominant pathways or patients with heterogeneous tumors. Alternatively, it may be possible to determine the relative role of these pathways through determination of SOCS status or phosphoactivation of these components before and during therapy, permitting individually tailored therapy targeted at the dominant signal transduction pathway. A thorough understanding of the molecular mechanisms in each cancer type needs to be achieved before successful therapy may be developed.
| Acknowledgments |
|---|
| Footnotes |
|---|
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: J. Yeh is a Howard Hughes Medical Institute, NIH research scholar.
Received 3/11/05; revised 8/22/05; accepted 10/27/05.
| References |
|---|
|
|
|---|
and epidermal growth factor receptor messenger RNA are early markers of carcinogenesis in head and neck cancer. Cancer Res 1993;53:357984.
and epidermal growth factor receptor in patients with squamous cell carcinoma of the head and neck. Cancer 1996;78:128492.[CrossRef][Medline] Chen Z, Malhotra PS, Thomas GR, et al. Expression of proinflammatory and proangiogenic cytokines in patients with head and neck cancer. Clin Cancer Res 1999;5:136979.
B and AP-1 activation and IL-8 and VEGF expression in human head and neck squamous cell carcinoma lines. Int J Cancer 2002;99:53848.[CrossRef][Medline] Vermes C, Jacobs JJ, Zhang J, Firneisz G, Roebuck KA, Glant TT. Shedding of the interleukin-6 (IL-6) receptor (gp80) determines the ability of IL-6 to induce gp130 phosphorylation in human osteoblasts. J Biol Chem 2002;277:1687987.This article has been cited by other articles:
![]() |
Z. Chen, J. L. Ricker, P. S. Malhotra, L. Nottingham, L. Bagain, T. L. Lee, N. T. Yeh, and C. Van Waes Differential bortezomib sensitivity in head and neck cancer lines corresponds to proteasome, nuclear factor-{kappa}B and activator protein-1 related mechanisms Mol. Cancer Ther., July 1, 2008; 7(7): 1949 - 1960. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Allen, K. Saigal, L. Nottingham, P. Arun, Z. Chen, and C. Van Waes Bortezomib-Induced Apoptosis with Limited Clinical Response Is Accompanied by Inhibition of Canonical but not Alternative Nuclear Factor-{kappa}B Subunits in Head and Neck Cancer Clin. Cancer Res., July 1, 2008; 14(13): 4175 - 4185. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. R. Seethala, W. E. Gooding, P. N. Handler, B. Collins, Q. Zhang, J. M. Siegfried, and J. R. Grandis Immunohistochemical Analysis of Phosphotyrosine Signal Transducer and Activator of Transcription 3 and Epidermal Growth Factor Receptor Autocrine Signaling Pathways in Head and Neck Cancers and Metastatic Lymph Nodes Clin. Cancer Res., March 1, 2008; 14(5): 1303 - 1309. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Friedman, L. Nottingham, P. Duggal, F. G. Pernas, B. Yan, X. P. Yang, Z. Chen, and C. Van Waes Deficient TP53 Expression, Function, and Cisplatin Sensitivity Are Restored by Quinacrine in Head and Neck Cancer Clin. Cancer Res., November 15, 2007; 13(22): 6568 - 6578. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. L. Lee, X. P. Yang, B. Yan, J. Friedman, P. Duggal, L. Bagain, G. Dong, N. T. Yeh, J. Wang, J. Zhou, et al. A Novel Nuclear Factor-{kappa}B Gene Signature Is Differentially Expressed in Head and Neck Squamous Cell Carcinomas in Association with TP53 Status Clin. Cancer Res., October 1, 2007; 13(19): 5680 - 5691. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Shiras, S. T Chettiar, V. Shepal, G. Rajendran, G. R. Prasad, and P. Shastry Spontaneous Transformation of Human Adult Nontumorigenic Stem Cells to Cancer Stem Cells Is Driven by Genomic Instability in a Human Model of Glioblastoma Stem Cells, June 1, 2007; 25(6): 1478 - 1489. [Abstract] |