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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2014.2709</article-id>
<article-id pub-id-type="publisher-id">ijo-46-01-0175</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Prognostic significance and therapeutic implications of peroxisome proliferator-activated receptor &#x003B3; overexpression in human pancreatic carcinoma</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>ZHANG</surname><given-names>YAN</given-names></name><xref rid="af1-ijo-46-01-0175" ref-type="aff">1</xref><xref rid="af2-ijo-46-01-0175" ref-type="aff">2</xref><xref rid="fn1-ijo-46-01-0175" ref-type="author-notes">*</xref></contrib>
<contrib contrib-type="author">
<name><surname>LUO</surname><given-names>HUI-YAN</given-names></name><xref rid="af1-ijo-46-01-0175" ref-type="aff">1</xref><xref rid="af3-ijo-46-01-0175" ref-type="aff">3</xref><xref rid="fn1-ijo-46-01-0175" ref-type="author-notes">*</xref></contrib>
<contrib contrib-type="author">
<name><surname>LIU</surname><given-names>GUANG-LIN</given-names></name><xref rid="af4-ijo-46-01-0175" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>WANG</surname><given-names>DE-SHEN</given-names></name><xref rid="af1-ijo-46-01-0175" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>WANG</surname><given-names>ZHI-QIANG</given-names></name><xref rid="af1-ijo-46-01-0175" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZENG</surname><given-names>ZHAO-LEI</given-names></name><xref rid="af1-ijo-46-01-0175" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>XU</surname><given-names>RUI-HUA</given-names></name><xref rid="af1-ijo-46-01-0175" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-ijo-46-01-0175"/></contrib></contrib-group>
<aff id="af1-ijo-46-01-0175">
<label>1</label>State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China</aff>
<aff id="af2-ijo-46-01-0175">
<label>2</label>Department of Medicine Oncology, The Sixth Affiliated Hospital of Sun Yat-sen University, Gastrointestinal and Anal Hospital of Guangdong Province, Guangzhou 510655, P.R. China</aff>
<aff id="af3-ijo-46-01-0175">
<label>3</label>School of Engineering, Sun Yat-sen University, Guangzhou 510006, P.R. China</aff>
<aff id="af4-ijo-46-01-0175">
<label>4</label>Department of Radiation Oncology, The First Affiliated Hospital of Guangzhou Medical College, Guangzhou 510120, P.R. China</aff>
<author-notes>
<corresp id="c1-ijo-46-01-0175">Correspondence to: Dr Rui-Hua Xu, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China, E-mail: <email>xurh@sysucc.org.cn</email></corresp><fn id="fn1-ijo-46-01-0175">
<label>*</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection">
<month>1</month>
<year>2015</year></pub-date>
<pub-date pub-type="epub">
<day>17</day>
<month>10</month>
<year>2014</year></pub-date>
<volume>46</volume>
<issue>1</issue>
<fpage>175</fpage>
<lpage>184</lpage>
<history>
<date date-type="received">
<day>13</day>
<month>08</month>
<year>2014</year></date>
<date date-type="accepted">
<day>23</day>
<month>09</month>
<year>2014</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2015, Spandidos Publications</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>Peroxisome proliferator-activated receptor &#x003B3; (PPAR&#x003B3;) is a ligand-activated nuclear receptor which has been implicated in carcinogenesis and angiogenesis in a wide range of cancers, including pancreatic carcinoma (PC). We aimed to characterize the prognosis and potential therapeutic implications of PPAR&#x003B3; in PC. Real-time RT-PCR and western blotting were used to quantify PPAR&#x003B3; expression in immortalized pancreatic epithelial cells, PC cell lines and freshly isolated matched tumor and non-tumor tissues. PPAR&#x003B3; protein expression was analyzed by immunohistochemistry (IHC) in archived tumor tissues from 101 PC patients. Furthermore, the effect of PPAR&#x003B3; on the cytotoxic action of gemcitabine (Gem) and 5-fluorouracil (5-FU) in PC cell lines was investigated <italic>in vitro</italic> using RNA interference techniques. Both PPAR&#x003B3; protein and mRNA were expressed at markedly higher levels in all of the PC cell lines and freshly isolated PC tissues, compared to normal immortalized pancreatic epithelial cells and the matched adjacent non-tumor tissues. High levels of PPAR&#x003B3; expression correlated significantly with tumor-node-metastasis (TNM) staging (P&lt;0.001) and poor overall survival (P&lt;0.001), especially in patients with advanced disease who received postoperative chemotherapy. While silencing of <italic>PPAR&#x003B3;</italic> significantly inhibit the cytotoxic effects of both gemcitabine and 5-fluorouracil in PC cells <italic>in vitro</italic>. This study suggests that high levels of PPAR&#x003B3; expression are associated with poor overall survival in PC. Additionally, PPAR&#x003B3; promotes chemoresistance in PC cells, indicating that PPAR&#x003B3; may represent a novel therapeutic target for PC.</p></abstract>
<kwd-group>
<kwd>PPAR&#x003B3;</kwd>
<kwd>pancreatic cancer</kwd>
<kwd>prognosis</kwd>
<kwd>5-fluorouracil</kwd>
<kwd>gemcitabine</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Pancreatic cancer (PC) is the fourth-leading cause of cancer related mortality in the United States with a 5-year survival rate of &lt;7&#x00025; (<xref rid="b1-ijo-46-01-0175" ref-type="bibr">1</xref>&#x02013;<xref rid="b3-ijo-46-01-0175" ref-type="bibr">3</xref>). In 2012, &gt;43,920 new cases of PC were estimated to be diagnosed and 37,390 deaths due to PC were expected in the United States (<xref rid="b3-ijo-46-01-0175" ref-type="bibr">3</xref>). Despite recent progress in diagnosis and treatment, the prognosis of patients with PC still remains unsatisfactory and unpredictable, due to the invasive phenotype, early metastasis and high rate of resistance to existing chemo-radiotherapeutic strategies (<xref rid="b4-ijo-46-01-0175" ref-type="bibr">4</xref>). Thus, identification of the biological changes that occur during the progression of PC, and the identification of novel markers of treatment sensitivity to more accurately predict clinical outcome will help to provide effective, individual treatment strategies for PC patients.</p>
<p>Numerous candidate genes have been screened in an attempt to specifically target pancreatic cancer cells and as therapeutic target genes, peroxisome-proliferator-activated receptor-gamma (PPAR&#x003B3;) is one of them. PPAR&#x003B3; is a member of the PPAR nuclear receptor superfamily of ligand-activated transcription factors. Three subtypes of PPARs with different tissue distributions and ligand specificities have been identified: PPAR&#x003B1;, PPAR&#x003B2;/&#x003B4; and PPAR&#x003B3; (<xref rid="b5-ijo-46-01-0175" ref-type="bibr">5</xref>,<xref rid="b6-ijo-46-01-0175" ref-type="bibr">6</xref>). PPAR&#x003B3; is expressed at high levels in fat tissue and a number of other tissues, such as muscle, adrenal gland and liver (<xref rid="b7-ijo-46-01-0175" ref-type="bibr">7</xref>&#x02013;<xref rid="b10-ijo-46-01-0175" ref-type="bibr">10</xref>), as well as endothelial cells (<xref rid="b11-ijo-46-01-0175" ref-type="bibr">11</xref>,<xref rid="b12-ijo-46-01-0175" ref-type="bibr">12</xref>).</p>
<p>PPAR&#x003B3; is activated by the binding of specific ligands, and forms a complex with retinoid X receptors (<xref rid="b13-ijo-46-01-0175" ref-type="bibr">13</xref>). The PPAR/ retinoid X receptor complex binds to specific peroxisome proliferator response elements (PPRE) which control the expression of a variety of target genes (<xref rid="b14-ijo-46-01-0175" ref-type="bibr">14</xref>), to regulate cell proliferation, angiogenesis and inflammation (<xref rid="b15-ijo-46-01-0175" ref-type="bibr">15</xref>&#x02013;<xref rid="b17-ijo-46-01-0175" ref-type="bibr">17</xref>). PPAR&#x003B3; is also required for adipogenesis, as it plays a key regulatory role in adipose cell differentiation and glucose homeostasis (<xref rid="b18-ijo-46-01-0175" ref-type="bibr">18</xref>). Recent research revealed that PPAR&#x003B3; also participates in the biological mechanisms underlying carcinogenesis, including cancer cell proliferation and differentiation <italic>in vitro</italic> and <italic>in vivo</italic> (<xref rid="b19-ijo-46-01-0175" ref-type="bibr">19</xref>,<xref rid="b20-ijo-46-01-0175" ref-type="bibr">20</xref>). PPAR&#x003B3; is overexpressed in a variety of human cancers, including PC, breast cancer, prostate cancer, non-small cell lung carcinoma and ovarian cancer (<xref rid="b21-ijo-46-01-0175" ref-type="bibr">21</xref>&#x02013;<xref rid="b27-ijo-46-01-0175" ref-type="bibr">27</xref>).</p>
<p>In this study, we investigated the relationship between PPAR&#x003B3; expression and the clinicopathological features of PC, overall survival (OS) in PC, and chemoresistance in PC cells. Our results strongly suggest that PPAR&#x003B3; might be a potential therapeutic target for PC.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Patients</title>
<p>In the present study, 101 PC patients who were histopathologically diagnosed after surgical resection at the Department of Gastrointestinal Surgery and Pathology (Sun Yat-sen University Cancer Center) from January 1999 to December 2010 were retrospectively enrolled. Gemcitabine-based chemotherapy was administered to the 44 patients with advanced-stage disease after surgery; none of the patients received radiotherapy. The clinicopathological features of the patient cohort are listed in <xref rid="tI-ijo-46-01-0175" ref-type="table">Table I</xref>. All patients were followed-up on regular basis; last follow-up was May 2011 with a mean follow-up time of 19 months (range, 1&#x02013;122 months), during which time 84 cancer-related deaths occurred. Four fresh PC and paired adjacent non-cancerous pancreatic tissues were collected for real-time quantitative polymerase chain reaction (qRT-PCR) and western blot analysis. All of the patients provided consent for the use of their paraffin embedded tissues for research purposes.</p>
<p>In order to use these clinical materials for research-purposes, the patient&#x02019;s prior consent and approval from the Institutional Research Ethics Committee of the Sun Yat-sen University Cancer Center were obtained. Clinicopathological classification and staging were determined according to the criteria proposed by the American Joint Committee on Cancer and International Union Against Cancer criteria.</p></sec>
<sec>
<title>Cell lines and plasmids</title>
<p>The human immortalized pancreatic ductal epithelial cell line (IPEC) hTERT-HPNE E6/E7 and PC cell lines, including BxPc-3, Capan-2, SW1990, CFPAC-1 and PANC-1 were obtained from the American Type Culture Collection (Manassas, VA, USA). All cell lines were maintained in DMEM medium (Invitrogen, Carlsbad, CA, USA) supplemented with 10&#x00025; fetal bovine serum (Hyclone, Logan, UT, USA).</p>
<p>For depletion of PPAR&#x003B3;, two human short hairpin RNA (shRNA) sequences were individually cloned into the pSuper- retro-neo plasmid to generate pSuper-retro-PPAR&#x003B3;-RNAi(s), respectively; the sequences were RNAi#1: GCGGAGATCTCC AGTGATATC and RNAi#2: GCTGAATGTGAAGCCCAT TGA (synthesized by Invitrogen). Retroviral production and infection were performed as previously described (<xref rid="b28-ijo-46-01-0175" ref-type="bibr">28</xref>). Stable cell lines expression PPAR&#x003B3; or PPAR&#x003B3; short hairpin RNAs (shRNA) were selected for 10 days with 0.5 &#x003BC;g/ml puromycin.</p></sec>
<sec>
<title>RNA extraction, reverse transcription and real-time PCR</title>
<p>Total RNA was extracted from cultured cells using TRIzol reagent (Invitrogen) following the manufacturer&#x02019;s instructions, and cDNA was amplified and quantified by quantitative real-time PCR (qRT-PCR) using the ABI PRISM 7500 Sequence Detection System (Applied Biosystems, Grand Island, NY, USA) with SYBR Green I (Molecular Probes, Grand Island, NY, USA). The qRT-PCR primers were selected as follows: PPAR&#x003B3;, forward 5&#x02032;-GAGTACCAAAGTGC AATCAAAGTG-3&#x02032; and reverse 5&#x02032;-TCTCCACAGACACGAC ATTC-3&#x02032;. Expression data were normalized to the geometric mean of house-keeping gene GAPDH (forward: 5&#x02032;-ACCACA GTCCATGCCATCAC-3&#x02032; and reverse: 5&#x02032;-TCCACCACCCTGT TGCTGTA-3&#x02032;) to control the variability in expression levels and calculated as, where C<sub>t</sub> represents the threshold cycle for each transcript.</p></sec>
<sec>
<title>Immunohistochemistry</title>
<p>Immunohistochemical analysis was performed to evaluate PPAR&#x003B3; protein expression in the 101 human fine-needle aspirations of PC tissues and 4 fresh pancreatic tissues. In brief, paraffin-embedded specimens were cut into 4-&#x003BC;m sections, baked at 60&#x000B0;C for 2 h, deparaffinized with xylene, rehydrated, subjected to antigen retrieval by microwaving in EDTA antigen retrieval buffer, and treated with 3&#x00025; hydrogen peroxide in methanol to quench endogenous peroxidase activity, followed by 1&#x00025; bovine serum albumin to block non-specific binding. The sections were incubated with rabbit anti-PPAR&#x003B3; (1:100; Santa Cruz Biotechnology, Santa Cruz, CA, USA) overnight at 4&#x000B0;C. Normal goat serum was used as a negative control. After washing, the tissue sections were incubated with biotinylated anti-rabbit secondary antibody (Zymed, San Francisco, CA, USA) followed by strep-tavidin-horseradish peroxidase complex (Zymed). The sites of immunoreactivity were visualized using the 3.3&#x02032;-diami-nobenzidine (ZSGB-Bio, Beijing, China) and the sections were counterstained with 10&#x00025; Mayer&#x02019;s hematoxylin (Sigma-Aldrich, St. Louis, MO, USA), dehydrated and mounted.</p>
<p>PPAR&#x003B3; staining was scored as: i) the percentage of positive tumor cells in the tumor tissue (0, 1&#x02013;5&#x00025;; 1, 6&#x02013;25&#x00025;; 2, 26&#x02013;50&#x00025;; 3, 51&#x02013;75&#x00025;; 4, 76&#x02013;100&#x00025;) and ii) the staining intensity: (0, no signal; 1, weak; 2, moderate; 3, strong). The immunoreactivity score (IRS) was calculated by multiplying the score for the percentage of positive cells and the intensity score (possible range, 0&#x02013;7) (<xref rid="b29-ijo-46-01-0175" ref-type="bibr">29</xref>). IRS scores &#x02265;3 were considered high expression. IHC staining was quantitatively analyzed using the Axio Vision Rel.4.6 computerized image analysis system assisted with an automatic measurement program (Carl Zeiss, Oberkochen, Baden-W&#x000FC;rttemberg, Germany). Briefly, the stained sections were evaluated at &#x000D7;200 magnification, and 10 representative stained fields in each section were analyzed to determine the mean optical density (MOD), which represents the strength of the staining signal as the percentage of positive pixels. The MOD data were analyzed using the t-test to compare the average MOD difference between different groups of tissues; P&lt;0.05 was considered statistically significant.</p></sec>
<sec>
<title>MTT assay</title>
<p>Cells were incubated at 37&#x000B0;C in an incubator with 5&#x00025; CO<sub>2</sub>. Cells at 0.2&#x000D7;10<sup>4</sup> of each line were seeded in a 96-well microtiter plate and allowed to adhere to the plate for 24 h at 37&#x000B0;C. Cells were then treated for 72 h at 37&#x000B0;C with either gemcitabine (Eli Lilly and Co., Indianapolis, IN, USA) or 5-fluorouracil (5-FU) (Sigma-Aldrich) with or without Pioglitazone (Pio, Takeda Pharmaceutical Co. Ltd., Osaka, Japan) at various concentrations, as indicated in the figure legends. At the appropriate time-points, the cells were incubated with 100 &#x003BC;l 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) dye (0.5 mg/ml; Sigma-Aldrich) for 4 h, the culture medium was removed and 150 &#x003BC;l of dimethyl sulfoxide (DMSO) (Sigma-Aldrich) was added to dissolve the formazan crystals. The absorbance values were measured by Spectra Max M5 spectrometer (Molecular Devices, Sunnyvale, CA, USA) at 570 nm, with 630 nm as the reference wavelength. All experiments were carried out in triplicate. In MTT assay, there is a linear relationship between the OD reading and the number of viable cells. Percent drug killing of cancer cells = (OD<sub>control well</sub> - OD<sub>drug-exposed well</sub>) / (OD<sub>control well</sub> - OD<sub>blank well</sub>) &#x000D7; 100&#x00025;. The average OD readings were obtained from 3 duplicate wells in any one MTT assay, all experiments were carried out in triplicate.</p></sec>
<sec>
<title>Flow cytometry analysis</title>
<p>Early and late cell apoptosis was measured by flow cytometry using Annexin V and PI provided in a commercial kit (Biovision, Zurich, Switzerland) according to the manufacturer&#x02019;s protocol. Briefly, the cells were seeded in a 6-well plate at a density of 1&#x000D7;10<sup>6</sup> cells/well and remained in spontaneous culture media at 37&#x000B0;C with 5&#x00025; CO<sub>2</sub> for 24 h at 37&#x000B0;C. Then the cells were treated for 48 h at 37&#x000B0;C with either gemcitabine or 5-fluorouracil with or without Pio at various concentrations as indicated in the figure legends. On the test day, 1&#x000D7;10<sup>5</sup> trypsinized cells were washed twice in PBS and resuspended in 100 &#x003BC;l of binding buffer, then suspended in Annexin V-binding buffer, stained with Annexin V-FITC for 15 min at room temperature, washed and stained with PI. The samples were analyzed using a FACSCalibur flow cytometer equipped with CellQuest-Pro software (Becton-Dickinson, San Jose, CA, USA).</p></sec>
<sec>
<title>Western blotting</title>
<p>The fresh tissues were ground to a powder in liquid nitrogen, lysed with sampling buffer &#x0005B;62.5 mmol/l Tris-HCl (pH 6.8), 2&#x00025; SDS, 10&#x00025; glycerol and 5&#x00025; 2-&#x003B2;-mercaptoethanol&#x0005D;, and the protein concentrations were determined using the Bradford assay (Bio-Rad Laboratories, Berkeley, CA, USA). Equal amounts of protein were electrophoretically separated on 9&#x00025; polyacrylamide SDS gels (SDS-PAGE) and transferred to polyvinylidene fluoride membranes (Amersham Pharmacia Biotech, QC, Canada). The membranes were incubated with an anti-PPAR&#x003B3; mouse antibody (1:100; Santa Cruz Biotechnology), followed by a horseradish peroxidase-conjugated anti-mouse IgG antibody (1:2,000; Amersham Pharmacia Biotech) and the bands were detected using an enhanced chemiluminescence kit (Amersham Pharmacia Biotech) according to the manufacturer&#x02019;s instructions. The membranes were subsequently stripped and re-probed with an anti-tubulin mouse monoclonal antibody (1:2,000; Sigma-Aldrich) as a loading control.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>All statistical analyses were carried out using SPSS version 13.0 (SPSS, Chicago, IL, USA). Comparisons between groups were performed using two-tailed paired Student&#x02019;s t-tests. The relationships between PPAR&#x003B3; expression and the patient clinicopathological features were analyzed using the &#x003C7;<sup>2</sup> test. Survival curves were plotted by the Kaplan-Meier method and compared using the log-rank test. Survival data were evaluated using univariate and multivariate Cox regression analyses. P-values &lt;0.05 were considered statistically significant for all analyses.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Association between PPAR&#x003B3; and clinical stage in PC</title>
<p>The association between PPAR&#x003B3; expression level and clinicopatholigical characteristics in PC patients was studied. PPAR&#x003B3; expression was examined in 101 fine-needle aspirations of PC tissues, including 21 cases of clinical stage I (20.8&#x00025;), 53 cases of stage II (52.5&#x00025;), 15 cases of stage III (14.9&#x00025;) and 12 cases of stage IV (11.9&#x00025;) PC. Significant correlation was observed between PPAR&#x003B3; expression level and several prognostic risk factors such as clinical stage, T classification and N classification (<xref rid="tI-ijo-46-01-0175" ref-type="table">Table I</xref>). PPAR&#x003B3; immunostaining was localized in the nucleus. The IHC analysis demonstrated that PPAR&#x003B3; was markedly upregulated in PC tissues, but it was only marginally detectable or not at all in normal pancreatic tissues (P&lt;0.05, <xref rid="f1-ijo-46-01-0175" ref-type="fig">Fig. 1A</xref>). Quantitative analysis of the IHC staining using the MOD scores indicated that PPAR&#x003B3; expression in clinical stage I to stage IV primary PC was significantly higher than normal pancreatic tissues (P&lt;0.05, <xref rid="f1-ijo-46-01-0175" ref-type="fig">Fig. 1B</xref>).</p></sec>
<sec>
<title>High PPAR&#x003B3; expression is associated with poor prognosis in PC, especially in patients with advanced disease who received postoperative chemotherapy</title>
<p>The PC patients were divided into two groups: high and low PPAR&#x003B3; expression based on the IRS score determined during IHC analysis (high = IRS score &#x02265;4). Kaplan-Meier and log-rank analysis demonstrated a significant difference in the overall survival time of patients with low and high PPAR&#x003B3; expression. High PPAR&#x003B3; expression was closely associated with poor overall survival (P&lt;0.001, <xref rid="f2-ijo-46-01-0175" ref-type="fig">Fig. 2A</xref>). Furthermore, high PPAR&#x003B3; expression correlated strongly with poor overall survival in the subsets of patients with T3+T4 disease or N0 disease (both P&lt;0.001; <xref rid="f2-ijo-46-01-0175" ref-type="fig">Fig. 2B and C</xref>). Interestingly, high PPAR&#x003B3; protein expression also correlated significantly with poorer overall survival in patients who received postoperative treatment for advanced disease (P&lt;0.001, <xref rid="f2-ijo-46-01-0175" ref-type="fig">Fig. 2D</xref>). PPAR&#x003B3; protein expression correlated significantly with the clinical stage, T classification, N classification, overall survival and survival of patients with chemotherapy regimen after surgery (<xref rid="tII-ijo-46-01-0175" ref-type="table">Table II</xref>). Moreover, univariate and multivariate analyses revealed that clinical stage, the T classifications and PPAR&#x003B3; expression were each recognized as independent prognostic factors (<xref rid="tIII-ijo-46-01-0175" ref-type="table">Table III</xref>), suggesting that PPAR&#x003B3; expression can be utilized as a predictor of survival in PC patients, and also that patients with low levels of PPAR&#x003B3; expression might experience greater benefit from adjuvant therapy.</p></sec>
<sec>
<title>PPAR&#x003B3; is upregulated in human pancreatic cancer</title>
<p>To investigate the potential role of PPAR&#x003B3; in the progression of PC, Western blotting, qRT-PCR and IHC analyses were performed on PC cell lines (BxPc-3, Capan-2, SW 1990, CFPAC-1, PANC-1), immortalized pancreatic epithelial cells (IPECs) and four freshly isolated PC tissues and the paired adjacent non-cancerous tissues. As shown in <xref rid="f3-ijo-46-01-0175" ref-type="fig">Fig. 3A and B</xref> both PPAR&#x003B3; mRNA and protein were markedly upregulated in all of the PC cell lines tested, compared with IPECs. The expression of <italic>PPAR&#x003B3;</italic> mRNA was 4- to 10-fold higher in PC tissues than the adjacent non-tumor tissues (<xref rid="f3-ijo-46-01-0175" ref-type="fig">Fig. 3C</xref>). Furthermore, comparative analysis revealed that PPAR&#x003B3; protein expression was upregulated in all four of the freshly isolated PC tissues, compared with the matched adjacent non-tumor tissues (<xref rid="f3-ijo-46-01-0175" ref-type="fig">Fig. 3D</xref>) suggesting that PPAR&#x003B3; is overexpressed in PC.</p></sec>
<sec>
<title>Silencing of PPAR&#x003B3; decreases the chemosensitivity of PC cells in vitro</title>
<p>To investigate the impact of PPAR&#x003B3; on the efficacy of chemotherapy in PC, we used PPAR&#x003B3; ligand pioglitazone and two short hairpin RNAs for <italic>PPAR&#x003B3;</italic> was employed to suppress endogenous <italic>PPAR&#x003B3;</italic> expression stably in BxPc-3 and PANC-1 cell lines. Western blot analysis revealed that the amount of PPAR&#x003B3; protein in PPAR&#x003B3; RNAi(s) cells, normalized by &#x003B1;-tubulin, was reduced up to 80&#x00025; compared with PPAR&#x003B3; RNAi-vector cells (<xref rid="f4-ijo-46-01-0175" ref-type="fig">Fig. 4A</xref>). The PANC-1 and BxPc-3 cells were exposed to Gem alone or Gem plus PPAR&#x003B3; ligand (10 &#x003BC;M Pio) with or without <italic>PPAR&#x003B3;</italic> knockdown. After 72-h treatment, greater apoptosis was observed in the cells treated with Gem plus PPAR&#x003B3; ligand, compared with the cells treated with Gem alone. The PPAR&#x003B3;-RNAi(s) cells treated with Gem plus PPAR&#x003B3; ligand showed minimal apoptosis, compared with the vehicle treated with Gem alone or Gem plus PPAR&#x003B3; ligand. Similar results were observed in the cells exposed to 5-FU alone or 5-FU plus PPAR&#x003B3; ligand (10 &#x003BC;M Pio) with or without <italic>PPAR&#x003B3;</italic> knockdown (<xref rid="f4-ijo-46-01-0175" ref-type="fig">Fig. 4B</xref>). As shown in <xref rid="f4-ijo-46-01-0175" ref-type="fig">Fig. 4C</xref>, silencing of endogenous <italic>PPAR&#x003B3;</italic> increased Gem plus Pio IC<sub>50</sub> values 3.5- and 1.7-fold for Panc-1 and BxPc-3 cells, increased 5-FU plus Pio IC<sub>50</sub> values 2.6- and 2.4-fold, respectively. Futhermore, the PPAR&#x003B3;-RNAi(s) cells Gem or 5-FU plus Pio IC<sub>50</sub> values significantly lower than the vector cells incubated with Gem or 5-FU alone (P&lt;0.01). These results indicate that downregulation of PPAR&#x003B3; decreased the cytotoxic effects of Gem and 5-FU in pancreatic cancer cells.</p></sec>
<sec>
<title>Silencing of PPAR&#x003B3; inhibited apoptosis of PC cells in vitro</title>
<p>As shown in <xref rid="f5-ijo-46-01-0175" ref-type="fig">Fig. 5A&#x02013;D</xref>, downregulated of <italic>PPAR&#x003B3;</italic> inhibited the percentage of apoptotic PANC-1 cells after the cells were treated in 500 nm Gem plus 10 &#x003BC;M Pio for 48 h, compared with the PPAR&#x003B3;-RNAi vector cells treated with Gem alone or Gem plus Pio, respective (P&lt;0.01). Similarly, the apoptosis rate of the PANC-1 PPAR&#x003B3;-RNAi(s) cells treated with 5-FU (40 &#x003BC;M) plus Pio (10 &#x003BC;M) clearly lower than the PPAR&#x003B3;-vector cells treated with 5-FU plus Pio or with 5-FU alone, which were (3.7&#x000B1;0.3, 4.0&#x000B1;0.5), (33.0&#x000B1;1.8) and (18.2&#x000B1;2.2)&#x00025;, respectively (P&lt;0.01, <xref rid="f5-ijo-46-01-0175" ref-type="fig">Fig. 5E&#x02013;H</xref>). Similar situation appeared when BxPc-3 PPAR&#x003B3;-RNAi(s) cells and PPAR&#x003B3;-RNAi vector cells were treatment with drugs: the precentage of early and late apoptotic BxPc-3 PPAR&#x003B3;-RNAi(s) cells treated with Gem/5-FU plus Pio were clearly lower than the PPAR&#x003B3;-vector cells, also lower than the PPAR&#x003B3;-vector cells treated with Gem/5-FU alone (P&lt;0.01, <xref rid="f6-ijo-46-01-0175" ref-type="fig">Fig. 6</xref>). These results indicate that downregulation of PPAR&#x003B3; decreased the antitumor effects on pancreatic cancer cells and is a potent apoptosis inhibitor.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>PPAR&#x003B3; is known to be overexpressed in various tumors, including hematologic malignancies (<xref rid="b30-ijo-46-01-0175" ref-type="bibr">30</xref>,<xref rid="b31-ijo-46-01-0175" ref-type="bibr">31</xref>) and solid tumors (<xref rid="b32-ijo-46-01-0175" ref-type="bibr">32</xref>&#x02013;<xref rid="b36-ijo-46-01-0175" ref-type="bibr">36</xref>). The expression of PPAR&#x003B3; has previously been reported in PC cell lines and tissues, including SUIT-2, AsPC-1, BxPC-3, Capan-2, HPAF-II, MIA Paca-2 and PANC-1 cells (<xref rid="b27-ijo-46-01-0175" ref-type="bibr">27</xref>,<xref rid="b37-ijo-46-01-0175" ref-type="bibr">37</xref>&#x02013;<xref rid="b39-ijo-46-01-0175" ref-type="bibr">39</xref>). Sasaki <italic>et al</italic> found that <italic>PPAR&#x003B3;</italic> mRNA was expressed in five of seven human PC samples, whereas <italic>PPAR&#x003B3;</italic> expression was not detected in the adjacent normal tissues (<xref rid="b27-ijo-46-01-0175" ref-type="bibr">27</xref>). Itami <italic>et al</italic> conducted immunohistochemistry and demonstrated that 75&#x00025; of 47 primary PC tissues and 80&#x00025; of 15 liver PC metastases expressed high levels of PPAR&#x003B3; (<xref rid="b39-ijo-46-01-0175" ref-type="bibr">39</xref>). The findings of our study are in agreement with these results, as we observed that PPAR&#x003B3; mRNA and protein were overexpressed in PC cell lines and primary PC tissues, compared to IPECs and the paired adjacent non-cancerous tissues. PPAR&#x003B3; has previously been associated with shorter overall survival in PC (<xref rid="b22-ijo-46-01-0175" ref-type="bibr">22</xref>). Our study confirms this result, especially in patients with advanced disease who received postoperative chemotherapy.</p>
<p>PPAR&#x003B3; can regulate cell proliferation, angiogenesis and inflammation (<xref rid="b15-ijo-46-01-0175" ref-type="bibr">15</xref>&#x02013;<xref rid="b17-ijo-46-01-0175" ref-type="bibr">17</xref>). Previous <italic>in vitro</italic> studies have suggested that PPAR&#x003B3; plays an important role in PC. Eibl <italic>et al</italic> reported that PPAR&#x003B3; agonists time- and dose-dependently decreased the viability of PC cell lines (<xref rid="b37-ijo-46-01-0175" ref-type="bibr">37</xref>). Kristiansen <italic>et al</italic> found that PPAR&#x003B3; is highly expressed in PC and is associated with shorter overall survival times (<xref rid="b22-ijo-46-01-0175" ref-type="bibr">22</xref>). Our conclutions are consistent with this. More importantly, we demonstrated that PPAR&#x003B3; may play an important role in gemcitabine and 5-FU effect of PC patients, because for the patients with advanced PC who received postoperative chemotherapy, increased expression of PPAR&#x003B3; associated with poor prognosis.</p>
<p>Gemcitabine and 5-FU are the most commonly used chemotherapeutic agent for PC; however, the clinical benefits of these drugs are not obvious (<xref rid="b40-ijo-46-01-0175" ref-type="bibr">40</xref>,<xref rid="b41-ijo-46-01-0175" ref-type="bibr">41</xref>). The poor response to chemotherapy in PC patients may due to inherent chemoresistance of PC cells and impaired drug delivery pathways (<xref rid="b42-ijo-46-01-0175" ref-type="bibr">42</xref>). There has been some research on the resistance aspects of gemcitabine and 5-FU. Leung <italic>et al</italic> found that suppression of Lipocalin2 (LCN2) in PC cells increased their sensitivity to gemcitabine <italic>in vitro</italic>, and <italic>in vivo</italic> (<xref rid="b43-ijo-46-01-0175" ref-type="bibr">43</xref>). Awasthi <italic>et al</italic> reported that insulin-like growth factor (IGF) signaling proteins are frequently overexpressed in pancreatic duct adenocarcinoma (PDAC), and using a small molecular inhibitor of IGF receptor (BMS-754807) was able to enhance gemcitabine response in PC (<xref rid="b44-ijo-46-01-0175" ref-type="bibr">44</xref>). Wang <italic>et al</italic> reported that the proliferation was inhibited more significantly in MIA Paca-2 and PANC-1 cells when treated with Ad-PUMA combined with anticancer drugs (cDDP, 5-FU, Gem) than when treated with anticancer drugs alone (<xref rid="b45-ijo-46-01-0175" ref-type="bibr">45</xref>).</p>
<p>Our data demonstrated that for the patients with advanced PC who received postoperative chemotherapy including gemcitabine and 5-FU, increased expression of PPAR&#x003B3; associated with poor prognosis. Next, we examined the functional involvement of the PPAR&#x003B3; in Gem or 5-FU induced apoptosis using PPAR&#x003B3; ligand pioglitazone and PPAR&#x003B3;-RNAi(s) cells. The cell function results and the clinical data appears to be inconsistent, because our <italic>in vitro</italic> results suggest that PPAR&#x003B3; increased sensitivity of chemotherapy in PC cells. Silencing of <italic>PPAR&#x003B3;</italic> significantly declined the chemosensitivity of PANC-1 and BxPc-3 cells to gemcitabine/5-FU plus PPAR&#x003B3; ligand, compared with the vector cells treated with gemcitabine/5-FU alone or gemcitabine/5-FU plus PPAR&#x003B3; ligand. We thought that the higher levels of PPAR&#x003B3; in chemoresistant cells, potentially make the cells more susceptible to the ligand therapy. This suggests that the high levels of PPAR&#x003B3; expressed in PC are involved in gemcitabine and 5-FU sensitivity, and also indicates that overexpression of PPAR&#x003B3; may be an adaptive response which mediates chemosensitivity in PC cells. Further characterization of the mechanisms by how PPAR&#x003B3; enables chemosensitivity in PC is still unclear, and further studies are needed to clarify the therapeutic potential of PPAR&#x003B3; for this deadly disease.</p></sec></body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study was supported by the National High-tech R&amp;D Program (863 Program), China (no. 2012AA02A506); and the Science and Technology Department of Guangdong Province, China (no. 2012B031800088).</p></ack>
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<floats-group>
<fig id="f1-ijo-46-01-0175" position="float">
<label>Figure 1</label>
<caption>
<p>Expression of PPAR&#x003B3; correlates with clinical stage in pancreatic cancer (PC). Representative immunohistochemical (IHC) analyses of PPAR&#x003B3; expression in normal pancreatic tissues and PC specimens of different clinical stages. (B) Average optical density (MOD) for PPAR&#x003B3; staining in normal pancreatic tissues and pancreatic cancer specimens of different clinical stages. The average PPAR&#x003B3; MOD value increased with clinical stage; <sup>*</sup>P&lt;0.01.</p></caption>
<graphic xlink:href="IJO-46-01-0175-g00.gif"/></fig>
<fig id="f2-ijo-46-01-0175" position="float">
<label>Figure 2</label>
<caption>
<p>Influence of PPAR&#x003B3; on overall survival in pancreatic cancer (PC). Kaplan-Meier analysis showed that high PPAR&#x003B3; expression was associated with poorer overall survival in (A) the entire cohort of 101 primary PC patients (P&lt;0.001); (B) the subset of patients with T3+T4 disease (P&lt;0.001); (C) the subset of patients with N0 disease (P&lt;0.001); and (D) the subset of patients with advanced disease who received postoperative chemotherapy (P&lt;0.001).</p></caption>
<graphic xlink:href="IJO-46-01-0175-g01.gif"/></fig>
<fig id="f3-ijo-46-01-0175" position="float">
<label>Figure 3</label>
<caption>
<p>PPAR&#x003B3; is upregulated in human pancreatic cancer (PC). (A) Expression of <italic>PPAR&#x003B3;</italic> mRNA in immortalized pancreatic epithelial cells (IPECs) (n=2) and cultured PC cell lines (n=5). <italic>PPAR&#x003B3;</italic> was normalized to <italic>GAPDH</italic>. Values are the mean &#x000B1; SD of three independent qRT-PCR experiments; <sup>*</sup>P&lt;0.05. (B) Western blot analysis of PPAR&#x003B3; expression in IPEC and cultured PC cell lines (n=5); &#x003B1;-tubulin was used as a loading control. (C) qRT-PCR analysis of <italic>PPAR&#x003B3;</italic> mRNA expression in paired primary PC tissues (T) and the adjacent non-cancerous tissues (ANT) from the same patients (n=4). Values are the mean &#x000B1; SD of three independent experiments; <sup>*</sup>P&lt;0.05. (D) Western blot analysis of PPAR&#x003B3; protein expression in T and ANT.</p></caption>
<graphic xlink:href="IJO-46-01-0175-g02.gif"/></fig>
<fig id="f4-ijo-46-01-0175" position="float">
<label>Figure 4</label>
<caption>
<p>Silencing of <italic>PPAR&#x003B3;</italic> decreases the chemosensitivity of gemcitabine and 5-FU in pancreatic cancer (PC) cells. (A) Knockdown of PPAR&#x003B3; in specific shRNA-transduced stable PC cell lines (n=2). &#x003B1;-tubulin was used as a loading control. (B) Effect of silencing <italic>PPAR&#x003B3;</italic> on the viability of BxPc-3 and PANC-1 cells. Cells were cultured in 96-well plates, transfected with siRNA to silence <italic>PPAR&#x003B3;</italic>, incubated for 24 h, treated with the indicated drugs with or without Pio 10 &#x003BC;M for 72 h, then cell viability was measured using the MTT assay. Data are representative of three independent experiments; <sup>*</sup>P&lt;0.05. (C) Effect of silencing <italic>PPAR&#x003B3;</italic> on the IC<sub>50</sub> values for gemcitabine and 5-FU with or without Pio in PANC-1 and BxPc-3 cells at 72 h. Values are the mean &#x000B1; SE of three independent experiments.</p></caption>
<graphic xlink:href="IJO-46-01-0175-g03.gif"/></fig>
<fig id="f5-ijo-46-01-0175" position="float">
<label>Figure 5</label>
<caption>
<p>Silencing of <italic>PPAR&#x003B3;</italic> decreases the pro-apoptotic effects of gemcitabine and 5-FU with or without <italic>PPAR&#x003B3;</italic> ligand in PANC-1 cells. (A&#x02013;D) PANC-1 PPAR&#x003B3; RNAi-vector cells, PANC-1 PPAR&#x003B3; RNAi(s) cells were incubated for 24 h, treated with 500 nM Gem with or without 10 &#x003BC;M Pio for 48 h, then stained with Annexin V and PI and subjected to FACS analysis to determine the percentage of apoptotic cells. Data are representative of three independent experiments. The lowest left quadrant shows live cells (Annexin V-negative and PI-negative); the lowest right quadrant, early apoptotic cells (Annexin V-positive and PI-negative); top right quadrant, late apoptotic or necrotic cells (PI-positive and Annexin V-positive). (E&#x02013;H) PANC-1 PPAR&#x003B3; RNAi-vector cells, PANC-1 PPAR&#x003B3; RNAi(s) cells treated with 40 &#x003BC;M 5-FU with or without 10 &#x003BC;M Pio for 48 h.</p></caption>
<graphic xlink:href="IJO-46-01-0175-g04.gif"/></fig>
<fig id="f6-ijo-46-01-0175" position="float">
<label>Figure 6</label>
<caption>
<p>Silencing of <italic>PPAR&#x003B3;</italic> decreases the pro-apoptotic effects of gemcitabine and 5-FU with or without PPAR&#x003B3; ligand in BxPc-3 cells. (A&#x02013;D) BxPc-3 PPAR&#x003B3; RNAi-vector cells, BxPc-3 PPAR&#x003B3; RNAi cells were incubated for 24 h, treated with 500 nM Gem with or without 10 &#x003BC;M Pio for 48 h, then stained with Annexin V and PI and subjected to FACS analysis to determine the percentage of apoptotic cells. Data are representative of three independent experiments. The lowest left quadrant shows live cells (Annexin V-negative and PI-negative); the lowest right quadrant, early apoptotic cells (Annexin V-positive and PI-negative); top right quadrant, late apoptotic or necrotic cells (PI-positive and Annexin V-positive). (E&#x02013;H) BxPc-3 PPAR&#x003B3; RNAi-vector cells, BxPc-3 PPAR&#x003B3; RNAi(s) cells treated with 40 &#x003BC;M 5-FU with or without 10 &#x003BC;M Pio for 48 h.</p></caption>
<graphic xlink:href="IJO-46-01-0175-g05.gif"/></fig>
<table-wrap id="tI-ijo-46-01-0175" position="float">
<label>Table I</label>
<caption>
<p>Correlation between PPAR&#x003B3; expression and clinicopathological characteristics of PC.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"/>
<th colspan="4" valign="top" align="center">All cases</th></tr>
<tr>
<th valign="top" align="left"/>
<th colspan="4" valign="top" align="left">
<hr/></th></tr>
<tr>
<th valign="top" align="left">Clinical parameter</th>
<th valign="top" align="center">Cases (N=101)<break/>n (&#x00025;)</th>
<th valign="top" align="center">PPAR&#x003B3;<sup>&#x02212;</sup> (N=27)<break/>n (&#x00025;)</th>
<th valign="top" align="center">PPAR&#x003B3;<sup>+</sup> (N=74)<break/>n (&#x00025;)</th>
<th valign="top" align="center">P-value<xref rid="tfn1-ijo-46-01-0175" ref-type="table-fn">a</xref></th></tr></thead>
<tbody>
<tr>
<td colspan="5" valign="top" align="left">Age (years)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02265;65</td>
<td valign="top" align="right">49 (48.5)</td>
<td valign="top" align="right">15 (55.6)</td>
<td valign="top" align="right">34 (45.9)</td>
<td valign="top" align="center">0.392</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&lt;65</td>
<td valign="top" align="right">52 (51.5)</td>
<td valign="top" align="right">12 (44.4)</td>
<td valign="top" align="right">40 (54.1)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="5" valign="top" align="left">Gender</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="right">57 (56.4)</td>
<td valign="top" align="right">16 (59.3)</td>
<td valign="top" align="right">41 (55.4)</td>
<td valign="top" align="center">0.730</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="right">44 (43.6)</td>
<td valign="top" align="right">11 (40.7)</td>
<td valign="top" align="right">33 (44.6)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="5" valign="top" align="left">Clinical stage</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I</td>
<td valign="top" align="right">21 (20.8)</td>
<td valign="top" align="right">11 (40.7)</td>
<td valign="top" align="right">10 (13.5)</td>
<td valign="top" align="center">0.004</td></tr>
<tr>
<td valign="top" align="left">&#x02003;II</td>
<td valign="top" align="right">53 (52.5)</td>
<td valign="top" align="right">10 (37.0)</td>
<td valign="top" align="right">43 (58.1)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;III</td>
<td valign="top" align="right">15 (14.9)</td>
<td valign="top" align="right">1 (3.7)</td>
<td valign="top" align="right">14 (18.9)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;IV</td>
<td valign="top" align="right">12 (11.9)</td>
<td valign="top" align="right">5 (18.5)</td>
<td valign="top" align="right">7 (9.5)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="5" valign="top" align="left">T classification</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T1</td>
<td valign="top" align="right">5 (5.0)</td>
<td valign="top" align="right">3 (11.1)</td>
<td valign="top" align="right">2 (2.7)</td>
<td valign="top" align="center">0.002</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T2</td>
<td valign="top" align="right">26 (25.7)</td>
<td valign="top" align="right">13 (48.1)</td>
<td valign="top" align="right">13 (17.6)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T3</td>
<td valign="top" align="right">54 (53.5)</td>
<td valign="top" align="right">10 (37.0)</td>
<td valign="top" align="right">44 (59.5)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T4</td>
<td valign="top" align="right">16 (15.8)</td>
<td valign="top" align="right">1 (3.7)</td>
<td valign="top" align="right">15 (20.3)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="5" valign="top" align="left">N classification</td></tr>
<tr>
<td valign="top" align="left">&#x02003;N0</td>
<td valign="top" align="right">63 (62.4)</td>
<td valign="top" align="right">12 (44.4)</td>
<td valign="top" align="right">51 (68.9)</td>
<td valign="top" align="center">0.025</td></tr>
<tr>
<td valign="top" align="left">&#x02003;N1</td>
<td valign="top" align="right">38 (37.6)</td>
<td valign="top" align="right">15 (55.6)</td>
<td valign="top" align="right">23 (31.1)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="5" valign="top" align="left">Pathologic differentiation</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Well</td>
<td valign="top" align="right">8 (7.9)</td>
<td valign="top" align="right">5 (5.0)</td>
<td valign="top" align="right">3 (4.1)</td>
<td valign="top" align="center">0.151</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Moderate</td>
<td valign="top" align="right">39 (38.6)</td>
<td valign="top" align="right">11 (40.7)</td>
<td valign="top" align="right">28 (37.8)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Poor and undifferentiated</td>
<td valign="top" align="right">54 (53.5)</td>
<td valign="top" align="right">11 (40.7)</td>
<td valign="top" align="right">43 (58.1)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="5" valign="top" align="left">Chemotherapy regimen after surgery</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="right">44 (43.6)</td>
<td valign="top" align="right">10 (46.0)</td>
<td valign="top" align="right">34 (41.2)</td>
<td valign="top" align="center">0.123</td></tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="right">57 (56.4)</td>
<td valign="top" align="right">17 (54.0)</td>
<td valign="top" align="right">40 (58.8)</td>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-46-01-0175">
<label>a</label>
<p>P-value was calculated by &#x003C7;<sup>2</sup> test or Fisher&#x02019;s exact test.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-ijo-46-01-0175" position="float">
<label>Table II</label>
<caption>
<p>Spearman correlation analysis between PPAR&#x003B3; and clinical pathologic factors.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left"/>
<th colspan="2" valign="bottom" align="center">PPAR&#x003B3; expression level</th></tr>
<tr>
<th valign="bottom" align="left"/>
<th colspan="2" valign="bottom" align="left">
<hr/></th></tr>
<tr>
<th valign="bottom" align="left">Variables</th>
<th valign="bottom" align="center">Spearman correlation</th>
<th valign="bottom" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Clinical staging</td>
<td valign="top" align="right">0.256</td>
<td valign="top" align="center">0.006</td></tr>
<tr>
<td valign="top" align="left">T classification</td>
<td valign="top" align="right">0.281</td>
<td valign="top" align="center">0.001</td></tr>
<tr>
<td valign="top" align="left">N classification</td>
<td valign="top" align="right">0.193</td>
<td valign="top" align="center">0.010</td></tr>
<tr>
<td valign="top" align="left">Survival</td>
<td valign="top" align="right">&#x02212;0.249</td>
<td valign="top" align="center">0.010</td></tr>
<tr>
<td valign="top" align="left">Pathologic differentiation</td>
<td valign="top" align="right">0.114</td>
<td valign="top" align="center">0.065</td></tr>
<tr>
<td valign="top" align="left">Survival of patients with chemotherapy regimen after surgery</td>
<td valign="top" align="right">&#x02212;0.189</td>
<td valign="top" align="center">0.035</td></tr></tbody></table></table-wrap>
<table-wrap id="tIII-ijo-46-01-0175" position="float">
<label>Table III</label>
<caption>
<p>Univariate and multivariate analyses of various prognostic parameters in patients with PC Cox-regression analysis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"/>
<th colspan="3" valign="top" align="center">Univariate analysis</th>
<th colspan="3" valign="top" align="center">Multivariate analysis</th></tr>
<tr>
<th valign="top" align="left"/>
<th colspan="3" valign="top" align="left">
<hr/></th>
<th colspan="3" valign="top" align="left">
<hr/></th></tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">No. of patients</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">Regression coefficient (SE)</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">Relative risk</th>
<th valign="top" align="center">95&#x00025; confidence interval</th></tr></thead>
<tbody>
<tr>
<td colspan="7" valign="top" align="left">Clinical stage</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I</td>
<td valign="top" align="right">21</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.512 (0.027)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.669</td>
<td valign="top" align="center">1.227&#x02013;1.971</td></tr>
<tr>
<td valign="top" align="left">&#x02003;II</td>
<td valign="top" align="right">53</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;III</td>
<td valign="top" align="right">15</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;IV</td>
<td valign="top" align="right">12</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="7" valign="top" align="left">T classification</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T1</td>
<td valign="top" align="right">5</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.706 (0.197)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.521</td>
<td valign="top" align="center">1.239&#x02013;2.015</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T2</td>
<td valign="top" align="right">26</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T3</td>
<td valign="top" align="right">54</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T4</td>
<td valign="top" align="right">16</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="7" valign="top" align="left">Expression of PPAR&#x003B3;</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Low expression</td>
<td valign="top" align="right">44</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">0.239 (0.019)</td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="center">1.227</td>
<td valign="top" align="center">1.046&#x02013;1.576</td></tr>
<tr>
<td valign="top" align="left">&#x02003;High expression</td>
<td valign="top" align="right">57</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-ijo-46-01-0175">
<p>PPAR&#x003B3; protein expression level in pancreatic cancer significantly correlated with patient survival time (P=0.000). The correlation coefficient was 0.239, and the relative risk (RR) was 1.227, indicating that higher levels of PPAR&#x003B3; expression correlated with lower death rate.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
