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<art><ui>1476-4598-10-150</ui><ji>1476-4598</ji><fm>
<dochead>Research</dochead>
<bibl>
<title>
<p>IL-17 induces AKT-dependent IL-6/JAK2/STAT3 activation and tumor progression in hepatocellular carcinoma</p>
</title>
<aug>
<au id="A1" ce="yes"><snm>Gu</snm><fnm>Fang-Ming</fnm><insr iid="I1"/><email>gfm3668@sina.com</email></au>
<au id="A2" ce="yes"><snm>Li</snm><fnm>Quan-Lin</fnm><insr iid="I1"/><insr iid="I2"/><email>li.quanlin@zs-hospital.sh.cn</email></au>
<au id="A3" ce="yes"><snm>Gao</snm><fnm>Qiang</fnm><insr iid="I1"/><email>gao.qiang@zs-hospital.sh.cn</email></au>
<au id="A4"><snm>Jiang</snm><fnm>Jia-Hao</fnm><insr iid="I1"/><email>jjhao09@gmail.com</email></au>
<au id="A5"><snm>Zhu</snm><fnm>Kai</fnm><insr iid="I3"/><email>zhukai1860@hotmail.com</email></au>
<au id="A6"><snm>Huang</snm><fnm>Xiao-Yong</fnm><insr iid="I1"/><email>leeo2636@hotmail.com</email></au>
<au id="A7"><snm>Pan</snm><fnm>Jin-Feng</fnm><insr iid="I1"/><email>flypatrick@yahoo.cn</email></au>
<au id="A8"><snm>Yan</snm><fnm>Jun</fnm><insr iid="I1"/><email>ynjun@yahoo.com</email></au>
<au id="A9"><snm>Hu</snm><fnm>Jin-Hui</fnm><insr iid="I4"/><email>hjh7677@sina.com</email></au>
<au id="A10"><snm>Wang</snm><fnm>Zheng</fnm><insr iid="I1"/><email>wang.zheng@zs-hospital.sh.cn</email></au>
<au id="A11"><snm>Dai</snm><fnm>Zhi</fnm><insr iid="I1"/><insr iid="I3"/><email>dai.zhi@zs-hospital.sh.cn</email></au>
<au id="A12"><snm>Fan</snm><fnm>Jia</fnm><insr iid="I1"/><insr iid="I3"/><email>fan.jia@zs-hospital.sh.cn</email></au>
<au id="A13" ca="yes"><snm>Zhou</snm><fnm>Jian</fnm><insr iid="I1"/><insr iid="I3"/><email>zhou.jian@zs-hospital.sh.cn</email></au>
</aug>
<insg>
<ins id="I1"><p>Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, P.R.China</p></ins>
<ins id="I2"><p>Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, P.R.China</p></ins>
<ins id="I3"><p>Institute of Biomedical Sciences, Fudan University, Shanghai, P.R.China</p></ins>
<ins id="I4"><p>Department of Laboratory Medicine, Gongli Hospital, Pudong new area, Shanghai, P.R.China</p></ins>
</insg>
<source>Molecular Cancer</source>
<issn>1476-4598</issn>
<pubdate>2011</pubdate>
<volume>10</volume>
<issue>1</issue>
<fpage>150</fpage>
<url>http://www.molecular-cancer.com/content/10/1/150</url>
<xrefbib><pubidlist><pubid idtype="doi">10.1186/1476-4598-10-150</pubid><pubid idtype="pmpid">22171994</pubid></pubidlist></xrefbib>
</bibl>
<history><rec><date><day>16</day><month>6</month><year>2011</year></date></rec><acc><date><day>15</day><month>12</month><year>2011</year></date></acc><pub><date><day>15</day><month>12</month><year>2011</year></date></pub></history>
<cpyrt><year>2011</year><collab>Gu et al; licensee BioMed Central Ltd.</collab><note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note></cpyrt>
<abs>
<sec>
<st>
<p>Abstract</p>
</st>
<sec>
<st>
<p>Background</p>
</st>
<p>The Th17 subset and IL-17 have been found in increased frequencies within certain tumors. However, their relevance in cancer biology remains controversial. This study aimed to clarify the biological action of IL-17 on hepatocellular carcinoma (HCC).</p>
</sec>
<sec>
<st>
<p>Methods</p>
</st>
<p>Effects and underlying molecular mechanisms of IL-17 on human HCC were explored <it>in vitro </it>using exogenous IL-17 stimulation and in nude mice by implanting IL-17 overexpressed HCC cells. The clinical significance of IL-17 was investigated in tissue microarrays containing HCC tissues from 323 patients following hepatectomy using immunohistochemistry.</p>
</sec>
<sec>
<st>
<p>Results</p>
</st>
<p>Although exogenous IL-17 showed no direct effect on the growth rate of HCC cells <it>in vitro</it>, PCR and ELISA showed that IL-17 selectively augmented the secretion of diverse proinvasive factors and transwell showed a direct promotion of invasion of HCC cells by IL-17. Furthermore, transfection of IL-17 into HCC cells significantly promoted neoangiogenesis, neutrophil recruitment and tumor growth <it>in vivo</it>. Using siRNA mediated knockdown of AKT and STAT3, we suggested that the effects of IL-17 were operated through activation of the AKT signaling in HCC, which resulted in IL-6 production. Then, IL-6 in turn activated JAK2/STAT3 signaling and subsequently up-regulated its downstream targets IL-8, MMP2, and VEGF. Supporting these findings, in human HCC tissues, immunostaining indicated that IL-17 expression was significantly and positively associated with STAT3 phosphorylation, neutrophil infiltration and increased tumor vascularity. The clinical significance of IL-17 was authenticated by revealing that the combination of intratumoral IL-17+ cells and phospho-STAT3 served as a better prognosticator for postoperative tumor recurrence than either marker alone.</p>
</sec>
<sec>
<st>
<p>Conclusions</p>
</st>
<p>IL-17 mediated tumor-promoting role involves a direct effect on HCC cells through IL-6/JAK2/STAT3 induction by activating the AKT pathway.</p>
</sec>
</sec>
</abs>
</fm><bdy>
<sec>
<st>
<p>Introduction</p>
</st>
<p>Hepatocellular carcinoma (HCC) is the fifth most common cancer and the third most common cause of cancer-related death globally <abbrgrp>
<abbr bid="B1">1</abbr>
</abbrgrp>. Despite advances in treatment modalities, long-term survival of HCC patients remains unsatisfactory because of the high rate of recurrence and metastasis <abbrgrp>
<abbr bid="B1">1</abbr>
</abbrgrp>. HCC is usually secondary to inflammatory conditions due to chronic hepatitis and cirrhosis resulting from either hepatitis B/C virus infection or from non viral-related causes such as alcohol or obesity. Compelling evidence has shown that inflammation orchestrates the microenvironment around HCC, making a significant difference to cancer cell proliferation, migration, and survival <abbrgrp>
<abbr bid="B2">2</abbr>
</abbrgrp>.</p>
<p>T helper 17 (Th17) cells are an important inflammatory component whose main physiological role is to promote host defense against infectious agents, and are well appreciated for contributing to autoimmune diseases <abbrgrp>
<abbr bid="B3">3</abbr>
</abbrgrp>. Recently, Th17 cells and its signature cytokine, interleukin-17 (IL-17), have been found increased frequencies within certain tumors <abbrgrp>
<abbr bid="B4">4</abbr>
<abbr bid="B5">5</abbr>
<abbr bid="B6">6</abbr>
</abbrgrp>. However, the relationship between Th17 cells and tumor immunopathology has been controversial <abbrgrp>
<abbr bid="B7">7</abbr>
<abbr bid="B8">8</abbr>
</abbrgrp>. Both beneficial and detrimental direct and indirect effects of IL-17 occurred in context and tumor system dependent manners. Transfection of IL-17 into tumor cells augmented the progression of the disease in nude mice via the effects on vascular endothelium and increased neoangiogenesis <abbrgrp>
<abbr bid="B9">9</abbr>
<abbr bid="B10">10</abbr>
</abbrgrp>. In contrast, the same kind of experiments using syngeneic tumors in immunocompetent mice induced tumor suppression or even eradication by facilitating the recruitment of effector immune cells <abbrgrp>
<abbr bid="B11">11</abbr>
</abbrgrp>. In clinical settings, a significant inverse correlation has been found between Th17 cell differentiation and prostate/ovarian cancer progression <abbrgrp>
<abbr bid="B4">4</abbr>
<abbr bid="B12">12</abbr>
</abbrgrp>, and low dose cyclophosphamide has newly been shown to modulate the tumor microenvironment by decreasing Treg suppressors while favoring Th17 and Th1 cells <abbrgrp>
<abbr bid="B13">13</abbr>
</abbrgrp>. In HCC, IL-17+ T cells have been found in increased numbers within tumors and correlate with poor survival and increased postoperative recurrence, indicating that Th17 cells and IL-17 may promote tumor progression in HCC <abbrgrp>
<abbr bid="B14">14</abbr>
</abbrgrp>. However, the direct effects and the underlying mechanisms of IL-17 in modulating human HCC cell growth remain elusive.</p>
<p>Previous studies have shown that IL-17 supported tumor progression via the effects on immune cells, vascular endothelial cells and stromal cells, focusing mostly on stimulating angiogenesis and inflammation. Given that many types of tumor cells bear IL-17 receptor alpha (IL-17RA) <abbrgrp>
<abbr bid="B15">15</abbr>
<abbr bid="B16">16</abbr>
</abbrgrp>, the specific receptor for IL-17, IL-17 may have a direct impact on the biological behavior of tumor cells in the local microenvironment. As a confirmation, in murine B16 melanoma and MB49 bladder carcinoma, IL-17 mediated tumor-promoting role involves a direct effect on tumor cells through IL-6 induction and subsequent signal transducer and activator of transcription 3 (STAT3) activation <abbrgrp>
<abbr bid="B15">15</abbr>
</abbrgrp>. IL-6 and other members of the IL-6 family of cytokines, including IL-11, in activating the JAK-STAT3 pathway leading to cancer-promoting inflammation has been widely documented <abbrgrp>
<abbr bid="B17">17</abbr>
</abbrgrp>. It is well-known that cytokines' role in regulating tumor progression and metastasis are highly cell-type-dependent and context-dependent, highlighting that the effects of IL-17 on HCC cells mandate specific investigation. Thus, in this study, we attempted to elucidate the exact role and associated molecular mechanism of IL-17 in HCC proliferation and invasion <it>in vitro </it>and in nude mice. The clinical relevance and prognostic significance of IL-17 in human HCC were also investigated.</p>
</sec>
<sec>
<st>
<p>Materials and methods</p>
</st>
<sec>
<st>
<p>Cell lines</p>
</st>
<p>Two human HCC cell lines, SMMC7721 (a human HCC cell line with low metastatic potential, established by the Shanghai Institute of Cell Biology, Chinese Academy of Sciences, Shanghai, China) <abbrgrp>
<abbr bid="B18">18</abbr>
</abbrgrp> and Huh7 (a well-differentiated and non-metastatic human HCC cell line, Japanese Cancer Research Resources Bank), were maintained in high-glucose Dulbecco's modified Eagle medium (DMEM) supplemented with 10% heat-inactivated fetal bovine serum (FBS), L-glutamine, 100 units/ml penicillin, and 100 &#956;g/ml streptomycin. All cell lines were cultured at 37&#176;C in a humidified incubator in 5% CO<sub>2</sub>.</p>
</sec>
<sec>
<st>
<p>Quantitative reverse transcription-polymerase chain reaction (qRT-PCR)</p>
</st>
<p>Total RNA was extracted with Trizol Reagent (Invitrogen, Carlsbad, CA) according to the manufacturer's protocol, and reversed transcribed with RevertAid&#8482; first-strand cDNA synthesis kit (Fermentas, Burlington, ON). IL-17 and IL-17RA mRNA levels were determined by qPCR using SYBR Premix Ex Taq (TaKaRa, Dalian, China) and normalized with &#946;-actin using the following primers: IL-17 forward, 5'-CGC TGA TGG GAA CGT GGA CTA C-3' and reverse, 5'-GGT GGA CAA TCG GGG TGA CA-3'. IL-17R forward, 5'-GTT CAT CAC GGG CAT CTC CAT C-3' and reverse, 5'-CAG GCA GGC CAT CGG TGT ATT-3'. &#946;-actin forward, 5'-CAA CTG GGA CGA CAT GGA GAA AAT-3' and reverse, 5'-CCA GAG GCG TAC AGG GAT AGC AC-3'. The relative gene expression was calculated with the 2<sup>-&#916;Ct </sup>method.</p>
</sec>
<sec>
<st>
<p>MTT, cell migration, and matrigel invasion assays</p>
</st>
<p>The effect of IL-17 on HCC cell growth was determined with the 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazoliumbromide (MTT) assay. Cells were seeded into 96-well flat-bottom plates (1 &#215; 10<sup>3</sup>/well) and cultured for 1 to 4 days in medium supplemented with recombinant human IL-17 (0, 0.1, 0.5, 1, 5, 10, 50, 100, or 500 ng/ml; 6 wells/dose), and each experiment was repeated at least three times. After IL-17 treatment, cells were incubated with MTT (20 &#956;l/well) at 37&#176;C for 4 h, and then 200 &#956;l dimethylsulfoxide was added. The absorbance of individual wells was determined at 570 nm.</p>
<p>The wound-healing assay was used to evaluate the ability of cell migration. Cells were grown to 80-90% confluence in 24-well plates, and a wound was made by dragging a plastic pipette tip across the cell surface. The remaining cells were washed three times to remove cell debris, and then incubated at 37&#176;C with serum-free medium. After 48 h, migrating cells at the wound front were photographed and compared. Three separate experiments were performed.</p>
<p>Cell invasion assays were performed using 24-well transwells (8-&#956;m pore size; Minipore) precoated with Matrigel (BD Biosciences, San Jose, CA). In total, 1 &#215; 10<sup>5 </sup>cells, which were suspended in 100 &#956;l DMEM containing hIL-17 (50 ng/ml), 1% FBS, IL-6 mAb (10 ng/ml), and/or IL-6 (100 ng/ml), were added to the upper chamber, and 600 &#956;l DMEM containing 10% FBS was placed in the lower chamber. After 36 h of incubation, Matrigel and the cells remaining in the upper chamber were removed using cotton swabs. Cells on the lower surface of the membrane were fixed in 4% paraformaldehyde and stained with Giemsa. Cells in five microscopic fields (at 200&#215; magnification) were counted and photographed. All experiments were performed in triplicate.</p>
<p>Recombinant human IL-17 and IL-6, and an IL-6 neutralizing mAb (R&amp;D Systems) were applied as appropriate.</p>
</sec>
<sec>
<st>
<p>Immunofluorescence staining, ELISA, and western blot analysis</p>
</st>
<p>For immunofluorescence staining, the monoclonal antibody (mAb) IL-17RA (R&amp;D Systems, Minneapolis, MN) was used.</p>
<p>The levels of IL-6, IL-1&#946;, TNF-&#945;, TGF-&#946;, IL-8, G-CSF, GM-CSF, VEGF, and MMP2 in culture supernatants were measured by ELISA, following the manufacturer's instructions (R&amp;D Systems). Intra- and inter-assay coefficients of variation were &lt; 5% and &lt; 10%, respectively.</p>
<p>Western blotting was performed as previously described <abbrgrp>
<abbr bid="B19">19</abbr>
</abbrgrp>. The specific primary antibodies p-JAK2 (Y1007/1008), JAK2, p-STAT3 (Y705), STAT3, p-p65 NF-&#954;B (S536), p65 NF-&#954;B, p-AKT (S473), AKT, p-JNK (T183/Y185), JNK, p-ERK1/2 (T202/Y204), ERK1/2, p-p38 MAPK (T180/Y182) and p38 MAPK (Cell Signaling Technology, Beverly, MA), as well as MMP2 (Abcam, Cambridge, MA) were used. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH; Millipore, Billerica, MA) was used as a loading control.</p>
</sec>
<sec>
<st>
<p>Cell transfection and clone selection</p>
</st>
<p>STAT3- and AKT-targeted siRNAs, as well as negative control mismatch sequences, were synthesized by Shanghai GeneChem Co. using the following sense and anti-sense strands: AKT sense, GUG CCA UGA UCU GUA UUU ATT and anti-sense, UAA AUA CAG AUC AUG GCA CTT; STAT3 sense, GGG ACC UGG UGU GAA UUA UTT and anti-sense, AUA AUU CAC ACC AGG UCC CTT. Transfection into SMMC7721 and Huh7 cells was performed using Lipofectamine&#8482; 2000 (Invitrogen) according to the manufacturer's instructions.</p>
<p>The pEGFP-N1-IL-17 plasmids were also constructed by Shanghai GeneChem Co. and pEGFP-N1 plasmids were used as controls. The lentiviral vector and plasmid were transfected into SMMC7721 cells as described elsewhere <abbrgrp>
<abbr bid="B20">20</abbr>
</abbrgrp>. Stably transfected clones were validated by qRT-PCR and immunoblotting for the level of target gene expression (Additional file <supplr sid="S1">1</supplr>, Figure S1).</p>
<suppl id="S1">
<title>
<p>Additional file 1</p>
</title>
<text>
<p>
<b>Figure S1 SMMC7721 cells are stably transfected with lentiviral-mediated pEGFP-N1-IL-17 plasmids</b>. The pEGFP-N1-IL-17 plasmids were constructed and pEGFP-N1 plasmids were used as controls. The lentiviral vector and plasmid were transfected into SMMC7721 cells. SMMC7721 cells were successfully transfected with pEGFP-N1-IL-17 plasmids validated by fluorescent imaging <b>(A)</b>, qRT-PCR, and immunoblotting <b>(B) </b>for the level of IL-17 expression.</p>
</text>
<file name="1476-4598-10-150-S1.PDF">
   <p>Click here for file</p>
</file>
</suppl>
</sec>
<sec>
<st>
<p>Animal experiments</p>
</st>
<p>BALB/ca male nude mice (Shanghai Institute of Materia Medica, Chinese Academy of Science), 4 to 6 weeks old, were kept in laminar-flow cabinets under specific pathogen-free conditions, cared for, and handled according to the recommendations of the National Institutes of Health guidelines for care and use of laboratory animals. The experimental protocol was approved by Shanghai Medical Experimental Animal Care Committee. For the tumor challenge, 1 &#215; 10<sup>6 </sup>SMMC7721-IL-17 or SMMC7721-mock tumor cells were injected subcutaneously into nude mice, and tumor growth was monitored each week <abbrgrp>
<abbr bid="B21">21</abbr>
</abbrgrp>. There were five animals in each group. The mice were sacrificed on day 28 after tumor implantation. The levels of IL-6, IL-8, VEGF, and MMP2 in mice serum were measured by ELISA. Tumor tissues were prepared for Western blot analysis and immunostaining. Anti-mouse CD31 and Gr-1 mAbs (Abcam) were used for immunostaining.</p>
</sec>
<sec>
<st>
<p>Patients and follow-up</p>
</st>
<p>Tumor samples were obtained from 410 patients with pathologically confirmed HCC at Liver Cancer Institute of Zhongshan Hospital, Fudan University. Serial sections from 87 patients (cohort 1) treated between December 2010 and January 2011 were used for immunohistochemistry, among which 48, 21, and 18 patients were classified as TNM stage I, II, and III, respectively <abbrgrp>
<abbr bid="B22">22</abbr>
</abbrgrp>. For tissue microarray (TMA) construction, archived tissues were obtained from 323 consecutive HCC patients treated between January 2003 and March 2004, with a median follow-up of 60 months (range, 2.0-74.0 months; cohort 2). All patients demonstrated no distant metastasis and had not received anticancer therapy before surgery. The tumor stage was determined according to the 2010 American Joint Committee on Cancer and International Union Against Cancer tumor-node-metastasis (TNM) classification system. Tumor differentiation was graded by the Edmondson grading system. The follow-up procedure was performed as described in our previous report <abbrgrp>
<abbr bid="B23">23</abbr>
</abbrgrp>. Overall survival (OS) or time to recurrence was defined as the intervals between the dates of surgery and death or the first recurrence, respectively. Patients without death or recurrence were censored at the last follow up. Detailed clinicopathological characteristics are given in Table S1. Ethical approval was obtained from the research ethics committee of Zhongshan Hospital and written informed consent was obtained from each patient.</p>
</sec>
<sec>
<st>
<p>Tissue microarrays and immunohistochemistry</p>
</st>
<p>To examine the relationship between the densities of intratumoral IL-17+ cells and CD66b+ neutrophils or microvessel densities (MVDs), 87 cases (cohort 1) were chosen for immunohistochemistry using serial whole tumor sections.</p>
<p>TMAs were constructed as described elsewhere <abbrgrp>
<abbr bid="B19">19</abbr>
<abbr bid="B23">23</abbr>
</abbrgrp> using tissues form cohort 2 (n = 323). Immunohistochemistry was conducted with the following primary mAbs: goat antihuman IL-17A (R&amp;D Systems), mouse antihuman CD66b (BD Pharmingen, San Diego, CA) and CD34 (Abcam), and rabbit antihuman p-STAT3 (Y705) (Cell Signaling Technology). Blank controls were treated identically with primary antibodies omitted.</p>
<p>The capture of the photographs and measurement of positive staining density were performed as described previously <abbrgrp>
<abbr bid="B23">23</abbr>
</abbrgrp>. Briefly, for IL-17, p-STAT3, and CD66b staining in consecutive sections from 87 HCC patients (cohort 1) and Gr-1 staining in xenografts, the sections were stained with indicated antibodies, and then were evaluated using light microscopy at 200&#215; or 400&#215; magnification by two investigators. Five representative fields of each case were captured. IL-17+ cell density or CD66b+ and Gr-1+ neutrophil density was evaluated according to the mean number of positive-staining cells in five count areas. For expression intensity of p-STAT3, the integrated absorbance and the area in a photograph were measured using Image-Pro Plus v6.0 software (Media Cybernetics, Inc.). A uniform setting of color segmentation was loaded for counting the integrated absorbance of all the pictures, and the mean p-STAT3 density was calculated as the product of the integrated absorbance/total area.</p>
<p>A Ki-67-specific monoclonal rat antibody (DAKO A/S) was used for detection and quantitation of tumor cell proliferation, while the In Situ Cell Death Detection kit-Peroxidase (Roche) was used for detection and quantitation of apoptosis. The Proliferation Index and Apoptosis Index were determined by calculating the number of Ki-67- or TUNEL-positive cells per total number of cells (hematoxylin-positive plus Ki-67- or TUNEL-positive cells) in 5 randomly selected fields at &#215;200, using Image-Pro Plus v6.0 software as previously described <abbrgrp>
<abbr bid="B19">19</abbr>
</abbrgrp>.</p>
<p>For the MVD, sections were stained with CD31 or CD34 antibody and a diaminobenzidine reaction system for immunohistochemical assessment of tumor microvessels in five randomly selected fields at 200&#215; magnification. The average number of microvessels was calculated. For the microvessel count, any brown-stained endothelial cell or endothelial cell cluster that was clearly separated from adjacent microvessels, tumor cells, and connective elements was counted as one microvessel, irrespective of the presence of a vessel lumen <abbrgrp>
<abbr bid="B4">4</abbr>
</abbrgrp>.</p>
<p>IL-17 and p-STAT3 staining in TMAs were evaluated at 200&#215; magnification using light microscopy by two investigators blinded to the clinicopathologic data of the patients. For IL-17 immunostaining, the number of positive staining cells in each 1-mm diameter cylinder were calculated manually and expressed as the mean number of the duplicates (cells/1-mm core). For the expression intensity of p-STAT3, the integrated absorbance and the area in each 1-mm diameter cylinder were measured using Image-Pro Plus v6.0 software. The mean p-STAT3 density was calculated as the product of the integrated absorbance/total area.</p>
</sec>
<sec>
<st>
<p>Statistical analysis</p>
</st>
<p>Statistical analysis was performed with SPSS 16.0 software (SPSS, Chicago, IL). Measurement values were expressed as means &#177; standard deviations. Student's <it>t </it>test, &#967;<sup>2 </sup>test, and Spearman's &#961; correlation were used as appropriate. The cumulative recurrence and survival rates were performed by the Kaplan-Meier method (log-rank test). Cox multivariate analysis with a stepwise method (forward, likelihood ratio) was used to determine the independent prognostic factors. Two-tailed p &lt; 0.05 was judged to be significant.</p>
<p>The median value of IL-17+ cell counts was used as the cutoff to dichotomize IL-17 immunostaining. The optimal cutoff for dichotomizing p-STAT3 (Y705) expression data was determined using X-tile 3.6.1 software (Yale University of New Haven) <abbrgrp>
<abbr bid="B24">24</abbr>
</abbrgrp>.</p>
</sec>
</sec>
<sec>
<st>
<p>Results</p>
</st>
<sec>
<st>
<p>IL-17 promotes HCC invasion and migration <it>in vitro</it>
</p>
</st>
<p>The expression of IL-17RA was easily detectable by qRT-PCR and immunofluorescence in Huh7 and SMMC7721 cells (Figure <figr fid="F1">1A</figr>). Because IL-17+ T cells were significantly elevated in HCC patients and correlated with poor survival <abbrgrp>
<abbr bid="B14">14</abbr>
</abbrgrp>, we thus assumed that IL-17 could stimulate HCC cells through IL-17RA signaling pathways. Although IL-17 exerted little influence on cell proliferation (Additional file <supplr sid="S2">2</supplr>, Figure S2A), wound-healing assays revealed an evident increase in the wound closure rates of Huh7 and SMMC7721 cells after IL-17 (50 ng/ml) stimulation for 48 h (Figure <figr fid="F1">1B</figr>), and matrigel invasion assays showed that exogenous IL-17 (50 ng/ml for 36 h) significantly promoted the invasion of Huh7 and SMMC7721 cells (Figure <figr fid="F1">1C</figr>). These results indicated that IL-17 can promote invasion and migration of HCC <it>in vitro</it>.</p>
<fig id="F1"><title><p>Figure 1</p></title><caption><p>IL-17 promotes invasion and migration of HCC <it>in vitro</it></p></caption><text>
   <p><b>IL-17 promotes invasion and migration of HCC <it>in vitro</it></b>. <b>(A) </b>As assessed by immunofluorescence staining and RT-PCR, IL-17RA expression was easily detectable in HCC cell lines (400&#215; magnification). <b>(B) </b>Wound-healing assays revealed an evident increase in the wound closure rates of Huh7 and SMMC7721 cells after IL-17 (50 ng/ml) stimulation for 48 h (100&#215; magnification). <b>(C) </b>Matrigel invasion assays showed that IL-17 (50 ng/ml for 36 h) significantly promoted the invasion of Huh7 and SMMC7721 cells [migration cell numbers (control vs IL-17); 37.00 &#177; 5.29 vs 75.67 &#177; 6.11, p = 0.001 for Huh7; 49.00 &#177; 4.00 vs 104.67 &#177; 13.61, p = 0.002 for SMMC7721; 200&#215; magnification]. Each experiment was repeated at least three times. Student's <it>t </it>test was used.</p>
</text><graphic file="1476-4598-10-150-1"/></fig>
<suppl id="S2">
<title>
<p>Additional file 2</p>
</title>
<text>
<p>
<b>Figure S2 IL-17 shows no effect on tumor proliferation, as well as p38 MAPK, ERK, JNK, and p65 NF-&#954;B activation in vitro</b>. <b>(A) </b>IL-17 had no effect on tumor proliferation as assessed by the MTT assay. Cells were cultured for 1 to 4 days in medium supplemented with IL-17 (0, 0.1, 0.5, 1, 5, 10, 50, 100 or 500 ng/ml). <b>(B) </b>Huh7 and SMMC7721 cells were incubated with IL-17 (50 ng/ml) for the indicated time. As assessed by Western blot analysis, IL-17 showed no effect on p38 MAPK, ERK, JNK, and p65 NF-&#954;B activation.</p>
</text>
<file name="1476-4598-10-150-S2.PDF">
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</file>
</suppl>
</sec>
<sec>
<st>
<p>IL-17 up-regulates proinvasive factors in HCC <it>in vitro</it>
</p>
</st>
<p>IL-17 is known for eliciting secretion of diverse inflammatory mediators in diverse cell types, including stromal cells and tumor cells. We found that IL-17 selectively up-regulated the production of IL-6, IL-8, MMP2, and VEGF in Huh7 and SMMC7721 cells (Table <tblr tid="T1">1</tblr>). The most prominent secretion was IL-6, with 5.8- and 6.0- fold increases, serially followed by IL-8 (2.5- and 5.6- fold), MMP2 (1.5- and 1.6- fold) and VEGF (1.2- and 1.7- fold) in Huh7 and SMMC7721 cells respectively. By contrast, in Huh7 and SMMC7721 cells, the production of IL-1&#946;, TNF-&#945;, TGF-&#946;, G-CSF and GM-CSF were not significantly affected by exogenous IL-17.</p>
<tbl id="T1"><title><p>Table 1</p></title><caption><p>IL-17 affects the production of inflammatory cytokines of HCC</p></caption><tblbdy cols="7">
      <r>
         <c>
            <p/>
         </c>
         <c cspan="2" ca="center">
            <p>
               <b>Huh7 (pg/ml)</b>
            </p>
         </c>
         <c>
            <p/>
         </c>
         <c cspan="2" ca="center">
            <p>
               <b>SMMC7721 (pg/ml)</b>
            </p>
         </c>
         <c>
            <p/>
         </c>
      </r>
      <r>
         <c>
            <p/>
         </c>
         <c cspan="2">
            <hr/>
         </c>
         <c>
            <p/>
         </c>
         <c cspan="2">
            <hr/>
         </c>
         <c>
            <p/>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>IL-17 (50 ng/ml)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>-</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>+</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>p</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>-</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>+</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>p</b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="7">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>IL-6</b>
            </p>
         </c>
         <c ca="center">
            <p>7.0 &#177; 1.5</p>
         </c>
         <c ca="center">
            <p>40.5 &#177; 19.6</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>63.3 &#177; 33.8</p>
         </c>
         <c ca="center">
            <p>380.9 &#177; 198.2</p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>IL-1&#946;</b>
            </p>
         </c>
         <c ca="center">
            <p>5.3 &#177; 0.4</p>
         </c>
         <c ca="center">
            <p>5.53 &#177; 0.5</p>
         </c>
         <c ca="center">
            <p>0.397</p>
         </c>
         <c ca="center">
            <p>6.4 &#177; 1.6</p>
         </c>
         <c ca="center">
            <p>5.6 &#177; 1.0</p>
         </c>
         <c ca="center">
            <p>0.261</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>TNF-&#945;</b>
            </p>
         </c>
         <c ca="center">
            <p>22.5 &#177; 2.3</p>
         </c>
         <c ca="center">
            <p>21.3 &#177; 1.2</p>
         </c>
         <c ca="center">
            <p>0.206</p>
         </c>
         <c ca="center">
            <p>22.8 &#177; 3.3</p>
         </c>
         <c ca="center">
            <p>26.6 &#177; 6.0</p>
         </c>
         <c ca="center">
            <p>0.137</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>TGF-&#946;</b>
            </p>
         </c>
         <c ca="center">
            <p>215.7 &#177; 51.9</p>
         </c>
         <c ca="center">
            <p>206.5 &#177; 47.5</p>
         </c>
         <c ca="center">
            <p>0.716</p>
         </c>
         <c ca="center">
            <p>140.7 &#177; 83.2</p>
         </c>
         <c ca="center">
            <p>143.6 &#177; 41.5</p>
         </c>
         <c ca="center">
            <p>0.931</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>IL-8</b>
            </p>
         </c>
         <c ca="center">
            <p>25.4 &#177; 13.1</p>
         </c>
         <c ca="center">
            <p>141.3 &#177; 133.9</p>
         </c>
         <c ca="center">
            <p>0.029</p>
         </c>
         <c ca="center">
            <p>208.9 &#177; 144.5</p>
         </c>
         <c ca="center">
            <p>521.7 &#177; 208.3</p>
         </c>
         <c ca="center">
            <p>0.004</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>G-CSF</b>
            </p>
         </c>
         <c ca="center">
            <p>10.9 &#177; 1.2</p>
         </c>
         <c ca="center">
            <p>11.4 &#177; 2.0</p>
         </c>
         <c ca="center">
            <p>0.575</p>
         </c>
         <c ca="center">
            <p>20.3 &#177; 14.9</p>
         </c>
         <c ca="center">
            <p>39.3 &#177; 28.1</p>
         </c>
         <c ca="center">
            <p>0.112</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>GM-CSF</b>
            </p>
         </c>
         <c ca="center">
            <p>6.5 &#177; 0.5</p>
         </c>
         <c ca="center">
            <p>8.3 &#177; 3.8</p>
         </c>
         <c ca="center">
            <p>0.212</p>
         </c>
         <c ca="center">
            <p>8.40 &#177; 2.23</p>
         </c>
         <c ca="center">
            <p>15.3 &#177; 9.9</p>
         </c>
         <c ca="center">
            <p>0.078</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>VEGF</b>
            </p>
         </c>
         <c ca="center">
            <p>2236.4 &#177; 300.3</p>
         </c>
         <c ca="center">
            <p>3814.5 &#177; 1188.6</p>
         </c>
         <c ca="center">
            <p>0.043</p>
         </c>
         <c ca="center">
            <p>332.0 &#177; 157.7</p>
         </c>
         <c ca="center">
            <p>557.8 &#177; 162.2</p>
         </c>
         <c ca="center">
            <p>0.014</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>MMP2</b>
            </p>
         </c>
         <c ca="center">
            <p>327.6 &#177; 12.2</p>
         </c>
         <c ca="center">
            <p>492.8 &#177; 44.5</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>351.4 &#177; 14.3</p>
         </c>
         <c ca="center">
            <p>558.6 &#177; 91.2</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>ELISA-determined cytokine levels were expressed as mean &#177; SD. p-values were calculated by Student's <it>t </it>test.</p>
   </tblfn></tbl>
</sec>
<sec>
<st>
<p>IL-17 activates STAT3 and AKT in HCC cells</p>
</st>
<p>Various signaling pathways are suggested to mediate IL-17 action. Here, we scrutinized the potential signaling pathways of IL-17 action in HCC cells and found that IL-17 had no effect on p38 MAPK, ERK, JNK and p65 NF-&#954;B activation in Huh7 and SMMC7721 cells (Additional file <supplr sid="S2">2</supplr>, Figure S2B). Intriguingly, phosphorylation of STAT3 and AKT were obviously increased as early as 3 h after IL-17 treatment and lasted for 24 h (Figure <figr fid="F2">2A</figr>, and Additional file <supplr sid="S3">3</supplr>, Figure S3A). Given that expression of IL-6, IL-8, MMP2, and VEGF increased in parallel with STAT3 and AKT activation in HCC cells treated with IL-17, STAT3, and AKT signaling may play important roles in inducing these proinvasive factors and hence tumor progression.</p>
<fig id="F2"><title><p>Figure 2</p></title><caption><p>IL-17 activates AKT and IL-6/STAT3, and up-regulates proinvasive factors production in SMMC7721 cells</p></caption><text>
   <p><b>IL-17 activates AKT and IL-6/STAT3, and up-regulates proinvasive factors production in SMMC7721 cells</b>. <b>(A) </b>Western blotting showed that phosphorylation of JAK2, STAT3 and AKT were obviously increased as early as 3 h after IL-17 treatment and lasted for 24 h after IL-17 stimulation. SMMC7721 cells were incubated with IL-17 at the indicated concentrations for 24 h or at 50 ng/ml for the indicated time. <b>(B and C) </b>Cells were cultured for 24 h with IL-17 (50 ng/ml). In siRNA-STAT3-SMMC7721 cells, IL-17-induced AKT and JAK2 phosphorylation were not affected, while in siRNA-AKT-SMMC7721, IL-17-induced JAK2/STAT3 phosphorylation was significantly reduced. <b>(D) </b>IL-17-induced AKT phosphorylation was obviously increased as early as 5 minutes after IL-17 treatment, while phosphorylation of JAK2 and STAT3 were not affected during the 60 minutes treatment. <b>(E) </b>HCC cells were cultured for 24 h with IL-17 (50 ng/ml) and/or IL-6 mAb (10 ng/ml), and concentrations of the proinvasive factors in culture supernatants were measured by ELISA. IL-17 selectively up-regulated the production of IL-6, IL-8, MMP2 and VEGF by tumor cells. Both IL-6 mAb and siRNA-STAT3 significantly downregulated the expression of IL-8, MMP2 and VEGF, while IL-17-induced IL-6 upregulation was not altered. <b>(F) </b>IL-6 mAb reduced STAT3 activation, whereas AKT activation by IL-17 was not affected. Data are expressed as mean &#177; SD; Student's <it>t </it>test; # p > 0.05; *p &lt; 0.05, **p &lt; 0.01, and ***p &lt; 0.001.</p>
</text><graphic file="1476-4598-10-150-2"/></fig>
<suppl id="S3">
<title>
<p>Additional file 3</p>
</title>
<text>
<p>
<b>Figure S3 IL-17 activates AKT and IL-6/STAT3, and up-regulates proinvasive factors production in Huh7 cells</b>. <b>(A) </b>Western blotting showed that phosphorylation of JAK2, STAT3 and AKT were obviously increased as early as 3 h after IL-17 treatment and lasted for 24 h after IL-17 stimulation. Huh7 cells were incubated with IL-17 at the indicated concentrations for 24 h or at 50 ng/ml for the indicated time. <b>(B and C) </b>Cells were cultured for 24 h with IL-17 (50 ng/ml). In siRNA-STAT3-Huh7 cells, IL-17-induced AKT and JAK2 phosphorylation were not affected, while in siRNA-AKT- Huh7, IL-17-induced JAK2/STAT3 phosphorylation was significantly reduced. <b>(D) </b>HCC cells were cultured for 24 h with IL-17 (50 ng/ml) and/or IL-6 mAb (10 ng/ml), and concentrations of the proinvasive factors in culture supernatants were measured by ELISA. IL-17 selectively up-regulated the production of IL-6, IL-8, MMP2 and VEGF by tumor cells. Both IL-6 mAb and siRNA-STAT3 significantly downregulated the expression of IL-8, MMP2 and VEGF, while IL-17-induced IL-6 upregulation was not altered. <b>(E) </b>IL-6 mAb reduced STAT3 activation, whereas AKT activation by IL-17 was not affected.</p>
</text>
<file name="1476-4598-10-150-S3.PDF">
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</file>
</suppl>
</sec>
<sec>
<st>
<p>IL-17 promotes HCC progression via AKT-dependent IL-6/STAT3 activation</p>
</st>
<p>To explore the potential role of STAT3 and AKT in IL-17-mediated effects on HCC, STAT3 and AKT expression were reduced by small interfering RNA (siRNA).</p>
<p>First, in HCC cells exposed to STAT3-targeted siRNA (HCC-siRNA-STAT3), IL-17-induced AKT phosphorylation was not affected, while in HCC cells exposed to AKT-targeted siRNA (HCC-siRNA-AKT), IL-17-induced STAT3 phosphorylation was significantly reduced (Figure <figr fid="F2">2B</figr> and <figr fid="F2">2C</figr>, and Additional file <supplr sid="S3">3</supplr>, Figure S3B and S3C). Furthermore, IL-17-induced AKT phosphorylation was obviously increased as early as 5 minutes after IL-17 treatment, while phosphorylation of JAK2 and STAT3 were not affected during the 60 minutes treatment (Figure <figr fid="F2">2D</figr>). These results suggested that AKT phosphorylation was an earlier event as compared with STAT3 phosphorylation in HCC stimulated with IL-17.</p>
<p>Additionally, in HCC-siRNA-STAT3 cells, IL-17-induced expression of IL-8, MMP2, and VEGF were significantly inhibited, while IL-17-induced IL-6 upregulation was not affected (Figure <figr fid="F2">2B</figr> and <figr fid="F2">2E</figr>, and Additional file <supplr sid="S3">3</supplr>, Figure S3B and S3D). These results indicated that IL-8, MMP2, and VEGF were target genes instead of the upstream activators of STAT3. Furthermore, neutralizing IL-6 with a blocking mAb reduced JAK2 and STAT3 activation and inhibited upregulation of IL-8, MMP2, and VEGF by IL-17, whereas AKT activation by IL-17 was not affected (Figure <figr fid="F2">2E</figr> and <figr fid="F2">2F</figr>, and Additional file <supplr sid="S3">3</supplr>, Figure S3D and S3E). Thus, IL-6 may be the main upstream activator, rather than the downstream target of JAK2/STAT3, in the setting of IL-17 stimulation.</p>
<p>By contrast, in HCC-siRNA-AKT cells, but not HCC-siRNA-STAT3 cells, IL-17-induced IL-6 upregulation was significantly blocked (Figure <figr fid="F2">2E</figr> and <figr fid="F3">3A</figr>, and Additional file <supplr sid="S3">3</supplr>, Figure S3D and Additional file <supplr sid="S4">4</supplr>, S4A). Thus, AKT siRNA both repressed IL-6 and downregulated JAK2/STAT3 phosphorylation induced by IL-17 (Figure <figr fid="F2">2C</figr>, <figr fid="F3">3A</figr> and <figr fid="F3">3B</figr>, and Additional file <supplr sid="S3">3</supplr>, Figure S3C, Additional file <supplr sid="S4">4</supplr>, S4A and S4B), indicating that IL-6/JAK2/STAT3 may be the targets of AKT in the context of IL-17. Thus, IL-17 may upregulate IL-6 production via AKT activation. IL-6 in turn activates JAK2/STAT3 and subsequently stimulates IL-8, MMP2, and VEGF production. Supporting this hypothesis, JAK2/STAT3 phosphorylation and the expression of IL-8, MMP2, and VEGF were significantly increased after addition of IL-17 plus exogenous IL-6 in siRNA-AKT-SMMC7721 and siRNA-AKT-Huh7 cells (Figure <figr fid="F3">3A</figr> and <figr fid="F3">3C</figr>, and Additional file <supplr sid="S4">4</supplr>, Figure S4A and S4C).</p>
<fig id="F3"><title><p>Figure 3</p></title><caption><p>IL-17 promotes HCC invasion via AKT-dependent IL-6/STAT3 activation</p></caption><text>
   <p><b>IL-17 promotes HCC invasion via AKT-dependent IL-6/STAT3 activation</b>. SMMC7721 cells were exposed to AKT-targeted or STAT3-targeted siRNA, and then cultured with IL-17 (50 ng/ml) and/or IL-6 (100 ng/ml) for 24 h. <b>(A) </b>As assessed by ELISA, the expression of IL-6, IL-8, MMP2 and VEGF showed no significant change after IL-17 stimulation in siRNA-AKT-SMMC7721 cells, while expression of IL-8, MMP2 and VEGF were significantly increased after addition of IL-17 plus IL-6. <b>(B) </b>AKT-siRNA significantly downregulated JAK2/STAT3 phosphorylation induced by IL-17. <b>(C) </b>IL-6 also recovered IL-17-stimulated JAK2/STAT3 phosphorylation in siRNA-AKT-SMMC7721 cells. <b>(D) </b>As shown by Matrigel invasion assay, STAT3-siRNA significantly reversed tumor invasion by IL-17 stimulation. IL-6 mAb (10 ng/ml for 36 h) completely reversed IL-17-induced HCC invasion, while IL-6 (100 ng/ml for 36 h) completely recovered IL-17-stimulated invasion of siRNA-AKT-SMMC7721 cells. Three separate experiments were performed in each study. Data are expressed as mean &#177; SD; Student's <it>t </it>test; # p > 0.05; *p &lt; 0.05, **p &lt; 0.01, and ***p &lt; 0.001.</p>
</text><graphic file="1476-4598-10-150-3"/></fig>
<suppl id="S4">
<title>
<p>Additional file 4</p>
</title>
<text>
<p>
<b>Figure S4 IL-17 promotes HCC invasion via AKT-dependent IL-6/STAT3 activation</b>. Huh7 cells were exposed to AKT-targeted or STAT3-targeted siRNA, and then cultured with IL-17 (50 ng/ml) and/or IL-6 (100 ng/ml) for 24 h. <b>(A) </b>As assessed by ELISA, the expression of IL-6, IL-8, MMP2 and VEGF showed no significant change after IL-17 stimulation in siRNA-AKT-Huh7 cells, while expression of IL-8, MMP2 and VEGF were significantly increased after addition of IL-17 plus IL-6. <b>(B) </b>AKT-siRNA significantly downregulated JAK2/STAT3 phosphorylation induced by IL-17. <b>(C) </b>IL-6 also recovered IL-17-stimulated JAK2/STAT3 phosphorylation in siRNA-AKT-Huh7 cells. <b>(D) </b>As shown by Matrigel invasion assay, STAT3-siRNA significantly reversed tumor invasion by IL-17 stimulation. IL-6 mAb (10 ng/ml for 36 h) completely reversed IL-17-induced HCC invasion, while IL-6 (100 ng/ml for 36 h) completely recovered IL-17-stimulated invasion of siRNA-AKT-Huh7 cells. Three separate experiments were performed in each study.</p>
</text>
<file name="1476-4598-10-150-S4.PDF">
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</file>
</suppl>
<p>Meanwhile, STAT3-siRNA significantly reversed tumor invasion by IL-17 stimulation in HCC (Figure <figr fid="F3">3D</figr>, and Additional file <supplr sid="S4">4</supplr>, Figure S4D). An IL-6 neutralizing mAb reduced STAT3 activation and also completely reversed IL-17-stimulated tumor invasion <it>in vitro </it>(Figure <figr fid="F3">3D</figr>, and Additional file <supplr sid="S4">4</supplr>, Figure S4D), while exogenous IL-6 completely recovered IL-17-induced invasion of siRNA-AKT-SMMC7721 and siRNA-AKT-Huh7 cells (Figure <figr fid="F3">3D</figr>, and Additional file <supplr sid="S4">4</supplr>, Figure S4D). AKT-dependent IL-6/STAT3 activation was therefore suggested to be responsible for the tumor promoting effects of IL-17 on HCC.</p>
</sec>
<sec>
<st>
<p>IL-17 promotes HCC progression <it>in vivo</it>
</p>
</st>
<p>When tumor cells were injected into nude mice, the growth rate of SMMC7721-IL-17 tumors was drastically increased relative to SMMC7721-mock controls [mean tumor volume (mock vs IL-17), 0.589 &#177; 0.259 vs 4.175 &#177; 3.050 cm<sup>3</sup>, p = 0.031; mean tumor weight (mock vs IL-17), 0.392 &#177; 0.124 vs 2.140 &#177; 0.963 g, p = 0.004; respectively; Figure <figr fid="F4">4A</figr>]. Moreover, SMMC7721-IL-17-derived xenografts showed increased tumor cell proliferation while reduced apoptosis of HCC cells compared with the SMMC7721-mock group [proliferation index (mock vs IL-17), 71.260 &#177; 9.584 vs 83.820 &#177; 6.549, p = 0.042; apoptosis index (mock vs IL-17), 1.070 &#177; 0.222 vs 0.626 &#177; 0.320, p = 0.034; respectively; Additional file <supplr sid="S5">5</supplr>, Figure S5].</p>
<fig id="F4"><title><p>Figure 4</p></title><caption><p>IL-17 promotes HCC progression in nude mice</p></caption><text>
   <p><b>IL-17 promotes HCC progression in nude mice</b>. <b>(A) </b>The tumor growth rate of SMMC7721-IL-17 was drastically increased relative to SMMC7721-mock [mean tumor volume (mock vs IL-17), 0.589 &#177; 0.259 vs 4.175 &#177; 3.050 cm<sup>3</sup>, p = 0.031; mean tumor weight (mock vs IL-17), 0.392 &#177; 0.124 vs 2.140 &#177; 0.963 g, p = 0.004; respectively]. <b>(B) </b>Overexpression of IL-17 promoted STAT3 and AKT activation in xenografts. <b>(C) </b>Overexpression of IL-17 markedly up-regulated production of IL-6, IL-8, MMP2 and VEGF in mice serum as measured by ELISA. <b>(D) </b>Neoangiogenesis and neutrophil recruitment in xenografts were assayed with CD31 (200&#215; magnification) and Gr-1 staining (400&#215; magnification). SMMC7721-IL-17-derived xenografts showed increased neoangiogenesis and neutrophil infiltration compared with the SMMC7721-mock group. Data are expressed as mean &#177; SD; Student's <it>t </it>test; **p &lt; 0.01, and ***p &lt; 0.001.</p>
</text><graphic file="1476-4598-10-150-4"/></fig>
<suppl id="S5">
<title>
<p>Additional file 5</p>
</title>
<text>
<p>
<b>Figure S5 IL-17 promotes tumor cell proliferation and inhibites apoptosis of HCC cells in nude mice</b>. Proliferation index and apoptosis index in xenografts were assayed with Ki-67 and TUNEL staining (200&#215; magnification). SMMC7721-IL-17-derived xenografts showed increased tumor cell proliferation while reduced apoptosis of HCC cells compared with the SMMC7721-mock group.</p>
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<file name="1476-4598-10-150-S5.PDF">
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</suppl>
<p>Increased phosphorylation of AKT was evident and the plasma concentration of IL-6 was significantly up-regulated in IL-17-transfected SMMC7721 mice compared with those in controls (Figure <figr fid="F4">4B</figr> and <figr fid="F4">4C</figr>). Overexpression of IL-17 also promoted JAK2/STAT3 activation and markedly up-regulated production of IL-8, MMP2, and VEGF (Figure <figr fid="F4">4B</figr> and <figr fid="F4">4C</figr>).</p>
<p>Apart from direct effects on tumor cells, MMP2 and VEGF are known for fostering angiogenesis and IL-8 is a major chemotactic factor for neutrophil recruitment. Supporting this, SMMC7721-IL-17-derived xenografts presented with more neoangiogenesis (CD31+) and Gr-1+ neutrophil infiltration than the SMMC7721-mock group (p &lt; 0.001 for both; Figure <figr fid="F4">4D</figr>).</p>
</sec>
<sec>
<st>
<p>Intratumoral IL-17+ cells positively correlate with p-STAT3 intensity, neutrophil and microvessel densities</p>
</st>
<p>Because <it>in vivo </it>SMMC7721-IL-17 tumors were characterized by increased angiogenesis and enriched neutrophil infiltration, we further explored whether a similar phenomenon exists in human HCC tissues. By staining consecutive sections in 87 HCC patients (Figure <figr fid="F5">5A</figr>), a correlation analysis revealed that significant positive correlations were found between the density of intratumoral IL-17-producing cells and MVD (r = 0.567; p &lt; 0.001), as well as between the densities of intratumoral CD66b+ neutrophils and IL-17+ cells (r = 0.630; p &lt; 0.001; Figure <figr fid="F5">5B</figr>). Additionally, the p-STAT3 intensity significantly and positively correlated with levels of intratumoral IL-17+ cells, CD66b+ neutrophils, and MVD (r = 0.324 and p = 0.002; r = 0.350 and p &lt; 0.001; r = 0.544 and p &lt; 0.001; respectively; Additional file <supplr sid="S6">6</supplr>, Figure S6). Thus, IL-17+ cells may promote neoangiogenesis and neutrophil recruitment partly via STAT3 activation in human HCC.</p>
<fig id="F5"><title><p>Figure 5</p></title><caption><p>Clinical relevance and prognostic value of IL-17+ cells</p></caption><text>
   <p><b>Clinical relevance and prognostic value of IL-17+ cells</b>. <b>(A and B) </b>Serial whole tumor sections from 87 HCC patients were used and representative cases of immunostaining of IL-17, p-STAT3, CD34 (MVD) and CD66b (neutrophils) are shown (200&#215; magnification). Significant positive correlations were found between the intratumoral IL-17+ cell density and MVD, as well as between the densities of intratumoral neutrophils and IL-17+ cells. <b>(C and D) </b>323 HCC patients contained in TMAs were classified into three groups: group I, high expression of both IL-17+ cells and p-STAT3; group II, high expression of one of the two markers; and group III, low expression of both markers. The intratumoral IL-17+ cell density significantly was correlated with p-STAT3 expression in this cohort as well. The 1-, 3-, and 5-year survival and cumulative recurrence rates in group I were significantly lower than those in groups II and III. Correlations between immunostaining parameters were analyzed by Spearman's rho coefficient test. The cumulative recurrence and survival rates were determined by the Kaplan-Meier method (log-rank test).</p>
</text><graphic file="1476-4598-10-150-5"/></fig>
<suppl id="S6">
<title>
<p>Additional file 6</p>
</title>
<text>
<p>
<b>Figure S6 The intratumoral p-STAT3 intensity is positively correlated with IL-17+ cell, neutrophil and microvessel densities</b>. Serial whole tumor sections from 87 HCC patients were used for immunostaining. The intratumoral p-STAT3 staining intensity was significantly and positively correlated with the levels of intratumoral IL-17+ cells, neutrophils, and MVD. Correlations between immunostaining parameters were analyzed by Spearman's rho coefficient test.</p>
</text>
<file name="1476-4598-10-150-S6.PDF">
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</file>
</suppl>
</sec>
<sec>
<st>
<p>The combination of IL-17 and p-STAT3 is a better prognostic marker</p>
</st>
<p>We further investigated the prognostic value of IL-17 and its target, p-STAT3, both separately and in combination, in TMA containing 323 HCC patients (Additional file <supplr sid="S7">7</supplr>, Figure S7). Similarly, the density of intratumoral IL-17+ cells significantly correlated with p-STAT3 expression in this cohort (r = 0.315; p &lt; 0.001; Figure <figr fid="F5">5C</figr>). Both IL-17<sup>high </sup>and p-STAT3<sup>high </sup>were significantly correlated with microvascular invasion (p = 0.016 and p = 0.013, respectively; Additional file <supplr sid="S8">8</supplr>, Table S1).</p>
<suppl id="S7">
<title>
<p>Additional file 7</p>
</title>
<text>
<p>
<b>Figure S7 Representative cases of immunohistochemical staining of IL-17 and p-STAT3 in a tissue microarray</b>. Consecutive sections of case 1 and case 2 showed high IL-17+ cells and p-STAT3 staining, while consecutive sections of case 3 and 4 showed low IL-17+ cells and p-STAT3 staining.</p>
</text>
<file name="1476-4598-10-150-S7.PDF">
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</file>
</suppl>
<suppl id="S8">
<title>
<p>Additional file 8</p>
</title>
<text>
<p>
<b>Table S1 Correlation between IL-17 or p-STAT3 and clinicopathological characteristics</b>. Both IL-17<sup>high </sup>and p-STAT3<sup>high </sup>were significantly correlated with microvascular invasion.</p>
</text>
<file name="1476-4598-10-150-S8.PDF">
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</file>
</suppl>
<p>Among the 323 patients, the 5-year OS and cumulative recurrence rates were 50.7% and 59.7%, respectively. Univariate analysis revealed that intratumoral IL-17+ cells and p-STAT3 expression were significantly associated with recurrence and survival (Table <tblr tid="T2">2</tblr>). Furthermore, patients were classified into three groups: group I, high expression of both markers; group II, high expression of either markers; and group III, low expression of both markers. Significant differences in recurrence and survival were detected among the three groups (Figure <figr fid="F5">5D</figr>).</p>
<tbl id="T2"><title><p>Table 2</p></title><caption><p>Univariate and multivariate analyses of factors associated with survival and recurrence</p></caption><tblbdy cols="7">
      <r>
         <c>
            <p/>
         </c>
         <c cspan="3" ca="center">
            <p>
               <b>Overall survival</b>
            </p>
         </c>
         <c cspan="3" ca="center">
            <p>
               <b>Cumulative recurrence</b>
            </p>
         </c>
      </r>
      <r>
         <c>
            <p/>
         </c>
         <c cspan="6">
            <hr/>
         </c>
      </r>
      <r>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c cspan="2" ca="center">
            <p>
               <b>Multivariate</b>
            </p>
         </c>
         <c>
            <p/>
         </c>
         <c cspan="2" ca="center">
            <p>
               <b>Multivariate</b>
            </p>
         </c>
      </r>
      <r>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c cspan="2">
            <hr/>
         </c>
         <c>
            <p/>
         </c>
         <c cspan="2">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Variables</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>Univariate: P</b>
            </p>
         </c>
         <c ca="center">
            <p><b>HR </b>(<b>95%CI)</b></p>
         </c>
         <c ca="center">
            <p>
               <b>P</b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>Univariate: P</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>HR (95%CI)</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>P</b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="7">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Age, years (&#8804; 51 vs > 51)</b>
            </p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Gender (female vs male)</b>
            </p>
         </c>
         <c ca="center">
            <p>0.032</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>0.013</p>
         </c>
         <c ca="center">
            <p>1.765 (1.078-2.891)</p>
         </c>
         <c ca="center">
            <p>0.024</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>HBsAg (no vs yes)</b>
            </p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Liver cirrhosis (no vs yes)</b>
            </p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>&#945;-Fetoprotein (&#8804; 20 vs > 20 ng/mL)</b>
            </p>
         </c>
         <c ca="center">
            <p>0.016</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Tumor diameter (&#8804; 5 vs > 5 cm)</b>
            </p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>2.192 (1.583-3.035)</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>1.613 (1.183-2.200)</p>
         </c>
         <c ca="center">
            <p>0.003</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Tumor number (single vs multiple)</b>
            </p>
         </c>
         <c ca="center">
            <p>0.037</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>0.136</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Tumor encapsulation (none vs complete)</b>
            </p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
         <c ca="center">
            <p>1.478 (1.073-2.034)</p>
         </c>
         <c ca="center">
            <p>0.017</p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
         <c ca="center">
            <p>1.532 (1.126-2.084)</p>
         </c>
         <c ca="center">
            <p>0.007</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Tumor differentiation (I/II vs III/IV)</b>
            </p>
         </c>
         <c ca="center">
            <p>0.009</p>
         </c>
         <c ca="center">
            <p>1.581 (1.118-2.237)</p>
         </c>
         <c ca="center">
            <p>0.010</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Vascular invasion (no vs yes)</b>
            </p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>1.965 (1.413-2.732)</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>1.591 (1.157-2.188)</p>
         </c>
         <c ca="center">
            <p>0.004</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>TNM stage (I vs II/III)</b>
            </p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>IL-17 <sup>low </sup>vs IL-17 <sup>high</sup></b>
            </p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>0.018</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>p-STAT3 <sup>low </sup>vs p-STAT3 <sup>high</sup></b>
            </p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>0.011</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Combination of IL-17 and p-STAT3*</b>
            </p>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>Overall</b>
            </p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>0.009</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>I vs II</b>
            </p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
         <c ca="center">
            <p>NA</p>
         </c>
         <c ca="center">
            <p>NS</p>
         </c>
      </r>
      <r>
         <c ca="center">
            <p>
               <b>I vs III</b>
            </p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>2.244 (1.529-3.293)</p>
         </c>
         <c ca="center">
            <p>&lt; 0.001</p>
         </c>
         <c ca="center">
            <p>0.001</p>
         </c>
         <c ca="center">
            <p>1.718 (1.193-2.473)</p>
         </c>
         <c ca="center">
            <p>0.004</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>Note: Univariate analysis was calculated using the Kaplan-Meier method (the log-rank test). Multivariate analysis was performed using the Cox multivariate proportional hazard regression model with a stepwise method (forward, likelihood ratio).</p>
      <p>Abbreviations: HR, hazard ratio; CI, confidence interval; HBsAg, hepatitis B surface antigen; NA, not assessed; NS, not significant; TNM, tumor-node-metastasis.</p>
      <p>*I, IL17 <sup>high </sup>and p-STAT3 <sup>high</sup>; II, IL17 <sup>high </sup>p-STAT3 <sup>low </sup>or IL17 <sup>low </sup>p-STAT3 <sup>high</sup>; III, IL17<sup>low </sup>and p-STAT3 <sup>low</sup><sub>.</sub></p>
   </tblfn></tbl>
<p>Significant clinicopathologic features identified in univariate analysis were adopted as covariates in multivariate Cox models. Multivariate analyses showed that IL-17+ cell and p-STAT3 expression independently correlated with OS and recurrence, irrespective of being used alone or in combination (Additional file <supplr sid="S9">9</supplr>, Table S2). However, concomitant high of IL-17 and p-STAT3 was superior to either marker alone in terms of hazard ratios and p values for both OS and recurrence (Additional file <supplr sid="S9">9</supplr>, Table S2). In multivariate analysis where IL-17+ cells, p-STAT3 expression and their combination were simultaneously adopted as covariates (Table <tblr tid="T2">2</tblr>), only their combination remained statistically significant. Specifically, compared with group III, hazard ratios of group I were 2.244 (95% CI, 1.529-3.293; p &lt; 0.001) for death and 1.718 (95% CI, 1.193-2.473; p = 0.004) for recurrence (Table <tblr tid="T2">2</tblr>), respectively.</p>
<suppl id="S9">
<title>
<p>Additional file 9</p>
</title>
<text>
<p>
<b>Table S2 Multivariate analyses of prognosis factors associated with survival</b>. IL-17+ cell and p-STAT3 expression independently correlated with OS and recurrence, irrespective of being used alone or in combination. However, concomitant high of IL-17 and p-STAT3 was superior to either marker alone in terms of hazard ratios and p values for both OS and recurrence.</p>
</text>
<file name="1476-4598-10-150-S9.PDF">
   <p>Click here for file</p>
</file>
</suppl>
</sec>
</sec>
<sec>
<st>
<p>Discussion</p>
</st>
<p>IL-17 has been shown to be elevated in several types of cancer, but how it might contribute to tumor growth is still unclear. Here, we found that IL-17 selectively augmented the secretion of various proinvasive factors and directly promoted <it>in vitro </it>invasion of HCC. Furthermore, transfection of IL-17 into HCC cells significantly promoted neoangiogenesis, neutrophil recruitment and tumor growth <it>in vivo</it>. These effects of IL-17 were suggested to be operated through activation of the AKT signaling, which resulted in IL-6 production. Then, IL-6 in turn activated JAK2/STAT3 signaling and subsequently up-regulated its downstream targets IL-8, MMP2, and VEGF. Supporting these findings, in human HCC tissues, IL-17 expression was significantly and positively associated with STAT3 phosphorylation, neutrophil infiltration, and increased tumor vascularity. Our findings thus support the notion that Th17 responses and IL-17 can promote HCC progression.</p>
<p>Previous studies have shown that IL-17 has diverse effects on inflammatory cells and stromal cells, focusing mostly on stimulating angiogenesis and inflammation <abbrgrp>
<abbr bid="B9">9</abbr>
<abbr bid="B10">10</abbr>
<abbr bid="B11">11</abbr>
</abbrgrp>. Recently, in primary hepatocytes, IL-17 was shown to up-regulate a group of inflammatory cytokine genes, most of which are NF-&#954;B target genes <abbrgrp>
<abbr bid="B25">25</abbr>
</abbrgrp>. Given that the expression of IL-17RA was considerable in HCC cells, we thus hypothesize that IL-17-mediated tumor-promoting role involved a direct effect on HCC cells. Supporting this, we found that exogenous IL-17 directly promoted HCC cell invasion <it>in vitro </it>and enhances tumor progression <it>in vivo</it>. Although consistent with several recent publications regarding the role of IL-17 in promoting tumor growth, these findings contradict other reports suggesting that IL-17 can provide an antitumor effect against certain tumors <abbrgrp>
<abbr bid="B4">4</abbr>
<abbr bid="B11">11</abbr>
</abbrgrp>
</p>
<p>The means by which IL-17 achieves its effects, either for the benefit or the detriment of the host, are largely due to the induction of new gene expression. However, different cell types appear to respond differently to IL-17 in terms of target gene expression. More recently, IL-17 has been also reported to mediate the release of proinflammatory factors and chemokines from tumor cells, including renal, lung and cervical cancers <abbrgrp>
<abbr bid="B10">10</abbr>
<abbr bid="B26">26</abbr>
<abbr bid="B27">27</abbr>
</abbrgrp>. Here, we showed that IL-17 selectively up-regulated the production of proinvasive factors in HCC cells, including IL-6, IL-8, MMP2, and VEGF. As master regulators of cell dissemination, proliferation and angiogenesis, the production of these factors from HCC cells inevitably resulted in the progression of HCC. By contrast, although GM-CSF, G-CSF, TNF-&#945;, TGF-&#946; and IL-1&#946; have been reported to be affected by IL-17 in other cell types <abbrgrp>
<abbr bid="B28">28</abbr>
</abbrgrp>, production of these cytokines in HCC cells was not significantly altered under IL-17.</p>
<p>IL-17 mediates signaling through distinct pathways in numerous inflammatory cells and tumor cells, such as MAPK, NF-&#954;B, and STAT3 pathways <abbrgrp>
<abbr bid="B16">16</abbr>
</abbrgrp>. We found that IL-17 significantly induced STAT3 and AKT phosphorylation, but had no obvious effect on p38 MAPK, ERK, JNK and p65 NF-&#954;B activation in HCC cells. These indicated that STAT3 and AKT activation play an important role in the induction of proinvasive factors and hence tumor progression. Previously, IL-17 has been reported to stimulate production of IL-6 and STAT3 activation in inflammatory cells and fibroblasts in an autoimmune disease <abbrgrp>
<abbr bid="B29">29</abbr>
</abbrgrp>, as well as in cancer cells <abbrgrp>
<abbr bid="B15">15</abbr>
<abbr bid="B30">30</abbr>
</abbrgrp>. Furthermore, IL-6 mediated activation of STAT3 in tumor cells results in increases in anti-apoptotic, pro-proliferation, and pro-angiogenic genes <abbrgrp>
<abbr bid="B31">31</abbr>
</abbrgrp>. In this study, using siRNA-mediated AKT and STAT3 knockdown, our data further extended these findings by indicating that IL-17 stimulated IL-6 induction was attributed to the activation of the AKT pathway; IL-6 in turn activated JAK2/STAT3 and up-regulated the transcription of the proinvasive genes. Our results were consistent with the hypothesis that, under certain conditions, AKT signaling may be the new proximal signaling mediator used by the IL-17R family to mediate downstream events <abbrgrp>
<abbr bid="B16">16</abbr>
<abbr bid="B32">32</abbr>
<abbr bid="B33">33</abbr>
</abbrgrp>. To the best of our knowledge, this study is the first to demonstrate that IL-17-induced IL-6/STAT3 activation was dependent on the activation of the AKT signaling pathway in tumor cells.</p>
<p>Because previous studies suggested the opposite role of IL-17 in tumor systems in nude mice versus immunocompetent mice <abbrgrp>
<abbr bid="B9">9</abbr>
<abbr bid="B10">10</abbr>
<abbr bid="B11">11</abbr>
</abbrgrp>, we further verified whether our finding in the xenograft nude mouse HCC model could be reproducible in human HCC. We found that intratumoral IL-17-producing cells were positively and significantly correlated with intratumoral neutrophils and MVD, not only in transplanted HCC model but also in human HCC tissues. The results supported that aside from direct promotion effects on tumor invasion and migration, IL-17 could also promote tumor angiogenesis and neutrophil recruitment through induction of HCC cells to releasing angiogenic and chemotactic factors such as IL-8, MMPs and VEGF. Alternatively, IL-17 may directly affect vascular endothelial cells and recruite circulating neutrophils by serving as neutrophil chemotactic and angiogenic factors, which were correlated with poor prognosis in HCC <abbrgrp>
<abbr bid="B34">34</abbr>
<abbr bid="B35">35</abbr>
</abbrgrp>. Furthermore, the levels of IL-17+ cells positively correlated with the expression of p-STAT3, both of which were associated with the presence of microvascular invasion, and poor survival in HCC patients. The combination of intratumoral IL-17+ cells and p-STAT3 expression served as a better predictor than either used alone in HCC patients.</p>
</sec>
<sec>
<st>
<p>Conclusions</p>
</st>
<p>In conclusion, our results suggested that the IL-17 mediated tumor-promoting role involved a direct effect on tumor cells through IL-6 induction by activating the AKT pathway; IL-6 in turn activated JAK2/STAT3 and up-regulated proinvasive factors IL-8, MMP2, and VEGF both <it>in vitro </it>and <it>in vivo</it>. Therapies that target IL-17 and STAT3 may be developed as potential therapeutic approaches to inhibit HCC.</p>
</sec>
<sec>
<st>
<p>Competing interests</p>
</st>
<p>The authors declare that they have no competing interests.</p>
</sec>
<sec>
<st>
<p>Authors' contributions</p>
</st>
<p>JZ conceived and supervised the study. FG, QL, QG performed <it>in vivo </it>and <it>in vitro </it>experiments, imaging studies and data analysis. FG, QL, QG, JJ, KZ collected clinical data. JH, ZW, ZD, JF assisted with <it>in vivo </it>and <it>in vitro </it>studies. FG, QL, QG drafted the manuscript. All authors read, edited and approved the manuscript.</p>
</sec>
</bdy><bm>
<ack>
<sec>
<st>
<p>Acknowledgements</p>
</st>
<p>National Natural Science Foundation of China (30972949 and 30901432), Shanghai Rising-Star Program (10QA1401300), Research Fund for the Doctoral Program of Higher Education of China (No. 20090071120026), and National Key Sci-Tech Special Project of China (2008ZX10002-025).</p>
</sec>
</ack>
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