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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">OR</journal-id>
<journal-title-group>
<journal-title>Oncology Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1021-335X</issn>
<issn pub-type="epub">1791-2431</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/or.2016.5079</article-id>
<article-id pub-id-type="publisher-id">or-36-05-2893</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Association between high levels of Notch3 expression and high invasion and poor overall survival rates in pancreatic ductal adenocarcinoma</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhou</surname><given-names>Jin-Xue</given-names></name><xref rid="af1-or-36-05-2893" ref-type="aff">1</xref><xref rid="fn1-or-36-05-2893" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname><given-names>Liang</given-names></name><xref rid="af2-or-36-05-2893" ref-type="aff">2</xref><xref rid="fn1-or-36-05-2893" ref-type="author-notes">&#x0002A;</xref><xref ref-type="corresp" rid="c1-or-36-05-2893"/></contrib>
<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Qing-Jun</given-names></name><xref rid="af1-or-36-05-2893" ref-type="aff">1</xref><xref rid="fn1-or-36-05-2893" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Feng</surname><given-names>Wen</given-names></name><xref rid="af1-or-36-05-2893" ref-type="aff">1</xref><xref rid="fn1-or-36-05-2893" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Pei-Min</given-names></name><xref rid="af4-or-36-05-2893" ref-type="aff">4</xref><xref rid="fn1-or-36-05-2893" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Er-Feng</given-names></name><xref rid="af2-or-36-05-2893" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Gong</surname><given-names>Wen-Jing</given-names></name><xref rid="af2-or-36-05-2893" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Kou</surname><given-names>Ming-Wen</given-names></name><xref rid="af2-or-36-05-2893" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Gou</surname><given-names>Wei-Ting</given-names></name><xref rid="af2-or-36-05-2893" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname><given-names>Yan-Ling</given-names></name><xref rid="af3-or-36-05-2893" ref-type="aff">3</xref><xref ref-type="corresp" rid="c2-or-36-05-2893"/></contrib></contrib-group>
<aff id="af1-or-36-05-2893">
<label>1</label>Department of Hepatobiliary and Pancreatic Surgery, Henan Tumor Hospital, Zhengzhou, Henan 450008</aff>
<aff id="af2-or-36-05-2893">
<label>2</label>Department of General Surgery, The 155 Central Hospital of PLA, Kaifeng, Henan 471000</aff>
<aff id="af3-or-36-05-2893">
<label>3</label>Department of Hepatobiliary Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shannxi 710032</aff>
<aff id="af4-or-36-05-2893">
<label>4</label>Department of General Surgery, First People's Hospital, Xiang Xin, Henan 453000, P.R. China</aff>
<author-notes>
<corresp id="c1-or-36-05-2893">Correspondence to: Professor Liang Zhou, Department of General Surgery, The 155 Central Hospital of PLA, Kaifeng, Henan 471000, P.R. China, E-mail: <email>zhouliang_004@126.com</email></corresp>
<corresp id="c2-or-36-05-2893">Professor Yan-Ling Yang, Department of Hepatobiliary Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shannxi 710032, P.R. China, E-mail: <email>1121050538@qq.com</email></corresp><fn id="fn1-or-36-05-2893">
<label>&#x0002A;</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="ppub">
<month>11</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>09</day>
<month>09</month>
<year>2016</year></pub-date>
<volume>36</volume>
<issue>5</issue>
<fpage>2893</fpage>
<lpage>2901</lpage>
<history>
<date date-type="received">
<day>26</day>
<month>03</month>
<year>2016</year></date>
<date date-type="accepted">
<day>11</day>
<month>08</month>
<year>2016</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016, Spandidos Publications</copyright-statement>
<copyright-year>2016</copyright-year></permissions>
<abstract>
<p>Pancreatic ductal adenocarcinoma (PDAC) is a commonly fatal tumour. It is characterized by early metastasis and high mortality. Many patients die as a result of PDAC tumour progression. However, the underlying mechanism of invasion and metastasis in PDAC is still not fully understood. Previous studies showed that the Notch signalling pathway may play an important role in the progression of tumour invasion and metastasis. However, it is not yet known whether the Notch signalling pathway participates in the progression of invasion in PDAC. In the present study, immunohistochemistry showed that a high expression of Notch3 was correlated with tumour grade, metastasis, venous invasion and American Joint Committee on Cancer (AJCC) tumor-node-metastasis (TNM) stage. Kaplan-Meier curves suggested that a high expression of Notch3 was a significant risk factor for shortened survival time. We also showed that inhibition of Notch3 had an anti-invasion role in PDAC cells. <italic>In vitro</italic>, the inhibition of Notch3 reduced the migration and invasion capabilities of PDAC cells by regulating the expressions of E-cadherin, CD44v6, MMP-2, MMP-9, VEGF and uPA via regulating the COX-2 and ERK1/2 pathways. These results indicated that downregulation of the Notch signalling pathway may be a novel and useful approach for preventing and treating PDAC invasion.</p></abstract>
<kwd-group>
<kwd>pancreatic ductal adenocarcinoma</kwd>
<kwd>Notch3</kwd>
<kwd>invasion</kwd>
<kwd>metastasis</kwd>
<kwd>overall survival</kwd>
<kwd>clinicopathological correlation</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>As a highly aggressive malignant disease, pancreatic ductal adenocarcinomax (PDAC) is the fourth leading cause of cancer-related death and has a median survival of 6 months (<xref rid="b1-or-36-05-2893" ref-type="bibr">1</xref>). Despite extensive clinical efforts, the mortality of patients with PDAC has not significantly altered, and the 5-year survival rate remains unacceptably low. During the diagnosis of pancreatic cancer, early metastasis is often found, eliminating the option of curative surgery (<xref rid="b2-or-36-05-2893" ref-type="bibr">2</xref>&#x02013;<xref rid="b4-or-36-05-2893" ref-type="bibr">4</xref>). However, in clinical practice, few markers other than tumor-node-metastasis (TNM) stage can be used as independent prognostic factors of tumour progression. Moreover, the molecules involved in the progression of metastasis may be markers for the early detection of recurrence or metastasis as well as prognostic indicators for surgical intervention. Therefore, it is necessary to further explore new indicators for the prediction and evaluation of tumour progression and patient prognosis.</p>
<p>As an evolutionarily conserved signalling pathway, the Notch signalling pathway has been shown involved in cell-fate determination, tissue patterning and morphogenesis, and cell differentiation, proliferation and death (<xref rid="b5-or-36-05-2893" ref-type="bibr">5</xref>,<xref rid="b6-or-36-05-2893" ref-type="bibr">6</xref>). Since the Notch signalling pathway participates in progression processes such as proliferation and apoptosis, it may be associated with tumourigenesis (<xref rid="b7-or-36-05-2893" ref-type="bibr">7</xref>). Previous studies indicated that many signalling pathways, including the Notch signalling pathway, may play an important role in PDAC (<xref rid="b8-or-36-05-2893" ref-type="bibr">8</xref>). The Notch signalling pathway plays a critical role in the control of cell proliferation, differentiation, apoptosis, invasion and metastasis in PDAC (<xref rid="b9-or-36-05-2893" ref-type="bibr">9</xref>). Studies frequently show that the expression of Notch receptors and their ligands increase in PDAC (<xref rid="b10-or-36-05-2893" ref-type="bibr">10</xref>). Inhibition of Notch1 is the main cause of decreased proliferation, migration, and invasion and increased apoptosis in PDAC cells (<xref rid="b11-or-36-05-2893" ref-type="bibr">11</xref>,<xref rid="b12-or-36-05-2893" ref-type="bibr">12</xref>). In an <italic>in vivo</italic> experiment, downregulation of the Notch signalling pathway led to inhibition of the canceration and development of PDAC cells (<xref rid="b13-or-36-05-2893" ref-type="bibr">13</xref>). Contradictorily, the Notch signalling pathway may play an oncogenic or onco-suppressive role in tumourigenesis, and its function is also context-dependent in PDAC (<xref rid="b14-or-36-05-2893" ref-type="bibr">14</xref>). Surprisingly, Notch1 may have an onco-suppressive role in <italic>K-ras</italic>-induced PDAC (<xref rid="b15-or-36-05-2893" ref-type="bibr">15</xref>). All of these findings indicate that further research is needed to explore the role of the Notch signalling pathway in PDAC since the relationship between the expression of Notch3 and survival in PDAC patients is unclear.</p>
<p>In the present study, we used immunohistochemistry to investigate the protein expression of Notch3. This is the first study to explore the potential relationship between the protein expression of Notch3 and the prognosis of patients with PDAC. Furthermore, we also explored the role of Notch3 in the migration and invasion of PDAC.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Patients and tissue specimens</title>
<p>We collected PDAC and adjacent non-cancerous tissues (at least 1.5 cm from the tumour) from 101 patients who underwent surgery for primary PDAC at the Department of Hepatobiliary Surgery at Xijing Hospital (Xi'an, China) between 2002 and 2010. These patients had not received preoperative treatments such as chemotherapy, ethanol injection or transarterial chemoembolization. A total of 59 male and 42 female patients participated in the present study. The median age of the patients was 55.3 years (range, 39&#x02013;82 years). Our research was approved by the Ethics Committee of the Fourth Military Medical University and conformed to the ethical guidelines of the 2004 Declaration of Helsinki. Written informed consent was obtained from each patient or from his/her legal guardian. To ensure the validity of the experiment, histopathologic examinations were performed to confirm that the tumour samples contained an adequate number of cancer cells and that no cancer cells had contaminated the non-cancerous tissues. All specimens were fixed in 10% formalin and embedded in paraffin, and 4-<italic>&#x003BC;</italic>m serial sections were examined using immunohistochemistry. We assessed clinical parameters such as gender, age, tumour grade, metastasis and American Joint Committee on Cancer (AJCC) TNM stage. Of the 38 cases diagnosed with metastasis, 26 had venous invasion, 11 had bile duct tumour thrombi, and 17 had lymph node metastasis. A 1-year follow-up study was conducted to perform survival calculations for these patients.</p></sec>
<sec>
<title>Cell culture and reagents</title>
<p>The human pancreatic non-tumour cell line (HPDE6c7) and human PDAC cell lines (ASPC-1, BXPC-3, CFPAC-1 and PANC-1) cultivated in Dulbecco's modified Eagle's medium (DMEM) supplemented with 10% foetal calf serum (Sigma Chemical Co., St. Louis, MO, USA). The PDAC cells were seeded into 6-well cell culture plates at a density of 1&#x000D7;10<sup>5</sup> cells/well. Primary antibodies against Notch3, CD44v6, E-cadherin, matrix metalloproteinase-2 (MMP-2), MMP-9, vascular endothelial growth factor (VEGF), urokinase-type plasminogen activator (uPA), cyclooxygenase-2 (COX-2), extracellular signal-regulated kinase 1 and 2 (ERK1/2), p-ERK1/2 and GAPDH were purchased from Santa Cruz Biotechnology (Santa Cruz, CA, USA). All secondary antibodies were obtained from Pierce (Rockford, IL, USA). Notch3 small interfering RNA (siRNA) and siRNA controls were obtained from Santa Cruz Biotechnology. Lipofectamine 2000 was purchased from Invitrogen (Carlsbad, CA, USA). All other chemicals and solutions were purchased from Sigma-Aldrich unless otherwise indicated.</p></sec>
<sec>
<title>Immunohistochemistry and evaluation of staining</title>
<p>The avidin-biotin-peroxidase method was used to perform immunohistochemistry of all tissues. Xylene was used to deparaffinise the sections, and a graded alcohol series was used to dehydrate prior to blocking in endogenous peroxidase activity using 0.5% H<sub>2</sub>O<sub>2</sub> in methanol for 10 min. The sections were incubated with 10% normal goat serum in phosphate-buffered saline (PBS) for 1 h at room temperature to block non-specific binding. Without washing, the sections were incubated in PBS with an anti-Notch3 antibody (1:50) at 4&#x000B0;C overnight in a humidified chamber. Then, the sections were incubated with biotinylated IgG (1:200; Sigma) for 2 h at room temperature. A streptavidin-peroxidase complex was used for detection. The brown colour indicative of peroxidase activity was obtained by incubating with 0.1% 3,3-diaminobenzidine (Sigma) in PBS with 0.03% H<sub>2</sub>O<sub>2</sub> for 10 min at room temperature. Using a previously described immunoreactivity scoring system, two pathologists who were blinded to the clinicopathological results, and patient outcome independently scored the tissue specimens (<xref rid="b16-or-36-05-2893" ref-type="bibr">16</xref>). Based on the score, all PDAC specimens were divided into two subgroups: the low-expression group (score of 0&#x02013;4) and the high-expression group (score of 5&#x02013;12).</p></sec>
<sec>
<title>Small interfering RNA transfection</title>
<p>Either Notch3 siRNA or control siRNA were transfected into BXPC-3 and PANC-1 cells using Lipofectamine 2000 according to the manufacturer's protocol. The siRNA-treated cells were seeded into 6-well cell culture plates at a density of 1&#x000D7;10<sup>5</sup> cells/well. The cells grew for an additional 24 h, and were then harvested for further analysis.</p></sec>
<sec>
<title>Real-time reverse transcription-PCR</title>
<p>Total RNA was extracted and reverse-transcribed. The primers used for the PCR reaction were as follows: Notch3 forward primer (5&#x02032;-aaggacgtggcctctggt-3&#x02032;), and reverse primer (5&#x02032;-tcaggctctcacccttgg-3&#x02032;); and GAPDH forward primer (5&#x02032;-AAATCCCATCACCATCTTCC-3&#x02032;), and reverse primer (5&#x02032;-TCACACCCATGACGAACA-3&#x02032;). The primer sequences were verified by running a virtual PCR, and the primer concentrations were optimized to prevent primer-dimer formation. Additionally, dissociation curves were evaluated to prevent non-specific amplification. Real-time PCR amplifications were performed using an Mx4000 Multiplex QPCR System (Stratagene, La Jolla, CA, USA) with 2X SYBR-Green PCR Master Mix (Applied Biosystems). Data were analysed according to the comparative Ct method and were normalized to GAPDH expression in each sample.</p></sec>
<sec>
<title>Protein extraction and western blotting</title>
<p>The cells were lysed in lysis buffer &#x0005B;50 mmol/l Tris (pH 7.5), 100 mmol/l NaCl, 1 mmol/l EDTA, 0.5% NP40, 0.5% Triton X-100, 2.5 mmol/l sodium orthovanadate, 10 <italic>&#x003BC;</italic>l/ml protease inhibitor cocktail and 1 mmol/l PMSF&#x0005D; by incubating for 20 min at 4&#x000B0;C. The protein concentration was determined using the Bio-Rad assay system (Bio-Rad, Hercules, CA, USA). Total proteins were fractionated using SDS-PAGE and transferred onto nitrocellulose membranes. The membranes were blocked with 5% non-fat dried milk or bovine serum albumin in 1X TBS buffer containing 0.1% Tween-20, and then incubated with the appropriate primary antibodies. Horseradish peroxidase-conjugated anti-rabbit or anti-mouse IgG was used as the secondary antibody, and the protein bands were detected using an enhanced chemiluminescence detection system (Amersham Pharmacia Biotech). Quantification of the western blot analyses was performed using laser densitometry, and the relative protein expression was then normalized to GAPDH levels.</p></sec>
<sec>
<title>MTT assay</title>
<p>Treated cells were seeded into 96-well cell culture plates at a density of 1&#x000D7;10<sup>4</sup> cells/well and incubated for up to 48 h. Using 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay (Sigma Chemicals Co.), cell viability was assessed according to the manufacturer's protocols. Each experiment had six replications and was repeated three times. The data are summarized as the means &#x000B1; SDs.</p></sec>
<sec>
<title>Migration and invasion assays</title>
<p>Cell migration and invasion were assessed using non-Matrigel-coated or Matrigel-coated Transwell cell culture chambers (8-<italic>&#x003BC;</italic>m pore size) (Millipore, Billerica, MA, USA). Briefly, treated cells (5&#x000D7;10<sup>4</sup> cells/well) were serum-starved for 24 h and plated in the upper insert of a 24-well chamber in serum-free medium. Medium containing 10% serum as a chemoattractant was added to the well, and the cells were incubated for 24 h. Cells on the upper side of the filters were mechanically removed with a cotton swab. The membrane was fixed with 4% formaldehyde for 10 min at room temperature and stained with 0.5% crystal violet for 10 min. Finally, the number of invasive and migrated cells was counted at a magnification of &#x000D7;200 in 10 different fields of each filter.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using SPSS 15.0 software (SPSS, Inc., Chicago, IL, USA). Each experiment was repeated at least three times, and all results were summarized and presented as the means &#x000B1; SDs. A t-test was used to statistically analyse the differences between means. The &#x003C7;<sup>2</sup> test for proportions was used to analyse the relationship between Notch3 expression and various clinicopathological factors. Survival curves were calculated using the Kaplan-Meier method and compared using the log-rank test. Cox proportional hazard analysis was used for univariate and multivariate analysis to explore the effect of clinicopathological factors and Notch3 expression. P-values &lt;0.05 were considered to indicate a statistically significant result.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Immunohistochemistry of Notch3</title>
<p>Positive staining for Notch3 was observed mainly in the cytoplasm and at the cell membrane. In adjacent non-cancerous tissues, the expression of Notch3 was weak in the cytoplasm and at the cell membrane. As shown in <xref rid="f1-or-36-05-2893" ref-type="fig">Fig. 1</xref>, the expression of Notch3 was different in PDAC tissue. Negative staining for Notch3 was observed in 15 cases, weak positive staining was observed in 28 cases, moderate positive staining was observed in 23 cases, and strong positive staining was observed in 35 cases.</p></sec>
<sec>
<title>Relationships between Notch3 expression and clinicopathological characteristics</title>
<p>As pathological factors, gender, age, tumour grade, metastasis and AJCC TNM stage were examined in 101 cases of PDAC. Vascular invasion was also analysed in patients with metastasis. For the present study, the 101 patients were divided into two subgroups: a high-expression group (n=55) and a low-expression group (n=46). The relationships between the expression of Notch3 and the clinicopathological factors are shown in <xref rid="tI-or-36-05-2893" ref-type="table">Table I</xref>. The results indicate that a high expression of Notch3 was strongly correlated with tumour grade (P=0.003), metastasis (P=0.003), venous invasion (P=0.008) and AJCC TNM stage (P&lt;0.001). In contrast, a high expression of Notch3 was not correlated with the other pathological factors (P&gt;0.05). These results suggested that Notch3 may participate in the process of differentiation, invasion and metastasis in PDAC.</p></sec>
<sec>
<title>Correlation between the expression of Notch3 and the prognosis of PDAC patients</title>
<p>Since the expression of Notch3 was correlated with tumour grade, metastasis, venous invasion and AJCC TNM stage in PDAC, we hypothesized that the expression of Notch3 may have a relationship to the prognosis of patients with PDAC. We used Kaplan-Meier postoperative survival curves to evaluate the correlation between the overall survival rates of patients with PDAC and the expression of Notch3. Log-rank tests showed significantly different survival times between the low and high Notch3 expression groups (P&lt;0.001). These results suggested that a low expression of Notch3 increases patient survival, whereas a high expression of Notch3 reduces patient survival (<xref rid="f2-or-36-05-2893" ref-type="fig">Fig. 2</xref>). The cumulative 1-year survival rate was 17.6% in patients with a low expression of Notch3, whereas the rate was only 7.1% in patients with a high expression of Notch3.</p>
<p>The results of the univariate Cox regression analysis showed that metastasis, venous invasion, AJCC TNM stage and the protein expression of Notch3 were strongly correlated with overall survival (<xref rid="b2-or-36-05-2893" ref-type="bibr">2</xref>). We also used multivariate Cox regression analysis to evaluate whether the high expression of Notch3 was an independent predictor of overall survival in patients with PDAC. Data in <xref rid="tII-or-36-05-2893" ref-type="table">Table II</xref> show that Notch3 expression predicted overall survival in patients with PDAC.</p></sec>
<sec>
<title>Inhibition of Notch3 decreases PDAC cell migration and invasion capabilities</title>
<p>To assess whether Notch3 participates in PDAC cell invasion and metastasis, we first detected the Notch3 expression in PDAC cells with different migration and invasion capabilities. As shown in <xref rid="f3-or-36-05-2893" ref-type="fig">Fig. 3A</xref>, BXPC-3 and PANC-1 cells had high migration and invasion capabilities. As shown in <xref rid="f3-or-36-05-2893" ref-type="fig">Fig. 3B and C</xref>, as the mRNA and protein expression of Notch3 increased, the migration and invasion capabilities of the PDAC cells tended to increase. In PDAC cells, the expression of Notch3 mRNA and protein could be effectively inhibited by siRNA (<xref rid="f4-or-36-05-2893" ref-type="fig">Fig. 4A and B</xref>). To detect changes in migration and invasion capabilities, we measured the number of siRNA-transfected PDAC cells using Transwell cell culture chambers. As shown in <xref rid="f5-or-36-05-2893" ref-type="fig">Fig. 5</xref>, the number of BXPC-3 and PANC-1 cells that migrated through the Transwell was significantly lower among the Notch3-inhibited cells than among the control siRNA-transfected cells. According to the MTT assay, inhibition of Notch3 had no effect on cell viability, which confirmed that the effects of inhibited Notch3 on cell migration and invasion were independent of apoptosis (<xref rid="f4-or-36-05-2893" ref-type="fig">Fig. 4C</xref>). Thus, based on these results, we can speculate that the inhibition of Notch3 could decrease the migration and invasion capabilities of PDAC cells.</p></sec>
<sec>
<title>Inhibition of Notch3 decreases the protein expression of CD44v6, MMP-2, MMP-9, VEGF and uPA and increase the protein expression of E-cadherin</title>
<p>To explore the potential mechanism of action of Notch3 in PDAC cells, we detected the effect of inhibited Notch3 on molecules related to metastasis, such as CD44v6, E-cadherin, MMP-2, MMP-9, VEGF and uPA. We found that Notch3 inhibition could decrease the protein expression of CD44v6, MMP-2, MMP-9, VEGF and uPA, whereas the protein expression of E-cadherin increased in PDAC cells with Notch3 inhibition (<xref rid="f6-or-36-05-2893" ref-type="fig">Fig. 6</xref>). These results suggested that Notch3 may be involved in the processes of migration and invasion in PDAC cells by regulating CD44v6, E-cadherin, MMP-2, MMP-9, VEGF and uPA.</p></sec>
<sec>
<title>Notch3 regulates the COX-2 and the ERK1/2 pathways</title>
<p>COX-2 is an upstream molecule of CD44v6 and E-cadherin, and the ERK1/2 pathway includes the up-stream molecules of MMP-2, MMP-9, VEGF and uPA. Thus, we explored whether inhibition of Notch3 could affect the COX-2 and ERK1/2 pathways. In Notch3-inhibited PDAC cells, the expression of COX-2 and p-ERK1/2 decreased, indicating that Notch3 may be up-stream molecule of COX-2 and the ERK1/2 pathway (<xref rid="f7-or-36-05-2893" ref-type="fig">Fig. 7</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The mortality rate of pancreatic ductal adenocarcinoma (PDAC) is high, despite the use of surgery, radiation therapy and chemotherapy to treat PDAC. A lack of effective therapies is the main cause of mortality. However, it is difficult to make an early diagnosis since there are no obvious symptoms and no specific detection methods for the early stage of PDAC, and most patients have lost the chance to undergo radical surgery when the diagnosis is made (<xref rid="b1-or-36-05-2893" ref-type="bibr">1</xref>).</p>
<p>Numerous previous studies indicated that the Notch signalling pathway plays an important role in many cellular development processes and can also regulate tumourigenesis (<xref rid="b17-or-36-05-2893" ref-type="bibr">17</xref>,<xref rid="b18-or-36-05-2893" ref-type="bibr">18</xref>). Although various studies showed that the Notch signalling pathway may play a suppressive role in PDAC in certain specific conditions (<xref rid="b15-or-36-05-2893" ref-type="bibr">15</xref>), other studies have indicated that abnormal expression of the Notch signalling pathway may cause tumourigenesis in PDAC (<xref rid="b14-or-36-05-2893" ref-type="bibr">14</xref>,<xref rid="b19-or-36-05-2893" ref-type="bibr">19</xref>&#x02013;<xref rid="b21-or-36-05-2893" ref-type="bibr">21</xref>). An abnormal expression of Notch receptors, Notch ligands and Notch target genes has been observed in PDAC (<xref rid="b10-or-36-05-2893" ref-type="bibr">10</xref>,<xref rid="b11-or-36-05-2893" ref-type="bibr">11</xref>,<xref rid="b20-or-36-05-2893" ref-type="bibr">20</xref>,<xref rid="b21-or-36-05-2893" ref-type="bibr">21</xref>). Furthermore, inhibition of the Notch signalling pathway inhibits cell growth, migration and invasion in murine pancreatic cancer cells. However, the role that the Notch pathway plays in PDAC remains unclear.</p>
<p>In the present study, we used immunohistochemistry to examine the expression of Notch3 in PDAC tissues. The results suggested that a high expression of Notch3 was correlated with tumour grade, metastasis, venous invasion and TNM stage. These results strongly indicated that Notch3 may play an important role in the progression of PDAC. An effective prognostic molecular biomarker may be important in evaluating patient status and promoting tumour control. In the present study, the results of survival curves showed that patients with a high expression of Notch3 had a significantly worse overall survival rate (log-rank test; P&lt;0.001). Previous studies showed that the increased expression of Notch3 in pancreatic cancer was statistically significant for both cytoplasmic and nuclear staining compared to benign tissue (<xref rid="b22-or-36-05-2893" ref-type="bibr">22</xref>). One study also showed that cytoplasmic expression of Notch3 was upregulated in tumours in 21/35 patients (60.0%) and nuclear Notch3 was present in 20 resected PDACs (47.6%) and nuclear Notch3 was associated with the presence of lymph node metastases in resected PDAC specimens (<xref rid="b23-or-36-05-2893" ref-type="bibr">23</xref>). In our results, we found positive staining for Notch3 was mainly observed in the cytoplasm and at the cell membrane and nuclear Notch3 was also observed. However, the expression of Notch3 in nuclear was less than the expression of Notch3 in cytoplasm and membrane. These results were similar to previous studies. There may be two reasons for this result. One reason may be that nuclear staining results were different using different antibody which had different protein binding properties and nuclear penetration. Other reason may be related to the structure of the Notch3. Notch3 are single-pass transmembrane proteins consisting of extracellular, transmembrane, and intracellular domains. Upon activation, Notch is cleaved releasing the Notch intracellular domain (NICD) and NICD is then ready to be translocated into the nucleus for transcriptional activation of Notch target genes. Thus, the expression of Notch3 in nuclear will be less than the expression of Notch3 in cytoplasm and cell membrane. Nuclear Notch3 is an activator of Notch3 signalling pathway, so it may play an important role in function of Notch3 signalling pathway such as lymph node metastases. However, this result does not affect the correlation between Notch3 and pancreatic cancer. Similar results were also presented in other tissue. In hepatocellular carcinoma, Notch3 was detected in the cytoplasm (<xref rid="b24-or-36-05-2893" ref-type="bibr">24</xref>). Positive staining of Notch3 was located in the cytoplasm and high Notch3 expression had a significantly shorter survival time, compared with those with no or low expression (<xref rid="b25-or-36-05-2893" ref-type="bibr">25</xref>). Moreover, the results of multivariate analysis indicated the expression of Notch3 may be an indicator of worse outcome independent of TNM stage. The above-mentioned results suggest that a high expression of Notch3 is correlated with a worse patient outcome and may be an independent prognostic factor for PDAC. Moreover, in addition to TNM staging, Notch3 expression may be a useful prognostic biomarker for evaluating PDAC patients. This is the first report to show that the expression of Notch3 can be used as a prognostic biomarker for PDAC.</p>
<p>Many cancer patients die from metastasis, yet, the mechanism of metastasis remains unclear. To escape from the primary tumour and result in distant metastasis, tumour cells must acquire the ability to invade and migrate. Tumour cells from the primary tumour can be degraded and removed from the extracellular matrix and thus moved into the vicinity of the blood or lymphatic vessels, which lays the foundation for distant metastasis. Thus, to explore whether Notch3 plays an important role in PDAC, we focused on determining whether Notch3 may participate in the migration and invasion of PDAC <italic>in vitro</italic>.</p>
<p>For tumour cells to migrate, they first need to adhere to the blood or lymphatic vessels. Therefore, adhesion is an essential important process in the migration cascade. Many cell adhesion molecules, including integrins, cadherins, selectins, immunoglobulins and proteoglycans, have been implicated in tumour progression and metastasis. In the present study, we focused on CD44v6 and E-cadherin, which are two important adhesion receptors. CD44v6, a member of the CD44 family of cell adhesion molecules, plays an important role in the progression and metastasis of tumours (<xref rid="b26-or-36-05-2893" ref-type="bibr">26</xref>). Previous research has shown that in many tumours, the abnormal expression of CD44v6 correlates with a poor prognosis (<xref rid="b27-or-36-05-2893" ref-type="bibr">27</xref>,<xref rid="b28-or-36-05-2893" ref-type="bibr">28</xref>). E-cadherin is a main member of the ca-mucoprotein family, which is associated with differentiation and invasion of tumour cells (<xref rid="b29-or-36-05-2893" ref-type="bibr">29</xref>). Numerous studies have indicated that E-cadherin plays an inhibitory role in tumour migration, metastasis and unfavourable prognosis (<xref rid="b30-or-36-05-2893" ref-type="bibr">30</xref>&#x02013;<xref rid="b32-or-36-05-2893" ref-type="bibr">32</xref>). The reduction of E-cadherin expression and the degradation of E-cadherin adhesion plaques on the cell surface can result in cells escaping from the primary tumour and moving into the vicinity of the blood or lymphatic vessels (<xref rid="b33-or-36-05-2893" ref-type="bibr">33</xref>). In the present study, it was interesting that inhibition of Notch3 decreased the migration of PDAC cells while decreasing the protein expression of CD44v6 and increasing the protein expression of E-cadherin. This finding indicated that Notch3 participates in the migration of PDAC cells and may regulate the expression of CD44v6 and E-cadherin.</p>
<p>However, how Notch3 regulates E-cadherin and CD44v6 is not clear. To further explore the potential mechanism governing how Notch3 regulates the expression of E-cadherin and CD44v6, we focused on COX-2, an upstream molecule of E-cadherin and CD44v6 (<xref rid="b34-or-36-05-2893" ref-type="bibr">34</xref>,<xref rid="b35-or-36-05-2893" ref-type="bibr">35</xref>). COX-2 participates in various cellular functions of tumours under physiologic and pathologic conditions (<xref rid="b36-or-36-05-2893" ref-type="bibr">36</xref>,<xref rid="b37-or-36-05-2893" ref-type="bibr">37</xref>). Abnormal expression of COX-2 also plays an important role in the progression of carcinogenesis (<xref rid="b34-or-36-05-2893" ref-type="bibr">34</xref>,<xref rid="b38-or-36-05-2893" ref-type="bibr">38</xref>). During the progression of carcinogenesis, COX-2 contributes to the modulation of various molecules related to metastasis, such as E-cadherin and CD44v6 (<xref rid="b34-or-36-05-2893" ref-type="bibr">34</xref>,<xref rid="b35-or-36-05-2893" ref-type="bibr">35</xref>). However, there are few studies concerning the correlation between the Notch signalling pathway and COX-2. In gastric cancer, N1IC, which is the activating factor of Notch1, can bind to a COX-2 promoter and thereby regulate the expression of COX-2 (<xref rid="b39-or-36-05-2893" ref-type="bibr">39</xref>). However, whether Notch3 can regulate the expression of COX-2 is unclear. The results of the current experiments showed that inhibition of Notch3 reduces the expression of COX-2, indicating that Notch3 may be an upstream molecule of COX-2. However, the specific mechanisms of this process should be further explored. Our results indicate that Notch3 plays an important role in the process of migration in PDAC. However, many other mechanisms may be involved in the process of migration, and our results may highlight one of the possible mechanisms.</p>
<p>During the series of steps involved in tumour metastasis, tumour cells can degrade the basement membrane and the stromal extracellular matrix, which leads to tumour cell invasion. Matrix metalloproteinases (MMPs) and urokinase-type plasminogen activator (uPA) are important molecules involved in the process of invasion. MMPs are a family of related enzymes that can degrade the extracellular matrix (ECM) and cause tumour cells to invade the vasculature and target organs, leading to metastasis (<xref rid="b40-or-36-05-2893" ref-type="bibr">40</xref>). MMPs, such as MMP-2 and MMP-9, can participate in the invasion and metastasis of the tumour, and they can degrade type IV collagen, which is the principal component of the basement membrane (<xref rid="b41-or-36-05-2893" ref-type="bibr">41</xref>,<xref rid="b42-or-36-05-2893" ref-type="bibr">42</xref>). During cell migration, angiogenesis, tumour growth and metastasis, the plasminogen activator system plays an important role. uPA binds to its receptor (uPAR), which facilitates the conversion of plasminogen to plasmin. Plasmin participates in the invasion and metastasis of cancer cells by degrading components of the extracellular matrix, either directly or indirectly through MMPs (<xref rid="b43-or-36-05-2893" ref-type="bibr">43</xref>).</p>
<p>VEGF plays an essential role in tumour cell invasion and metastasis. VEGF expression is commonly found to increase in tumours, and there is an association between VEGF expression and distant metastasis. Abnormal expression of VEGF increases the migration and invasion of tumour cells (<xref rid="b44-or-36-05-2893" ref-type="bibr">44</xref>,<xref rid="b45-or-36-05-2893" ref-type="bibr">45</xref>). In the present study, we found that inhibition of Notch3 decreases the invasion of PDAC cells and reduce the expression of MMP-2, MMP-9, VEGF and uPA. Therefore, we can conclude that Notch3 participates in the invasion of PDAC cells by regulating the expression of MMP-2, MMP-9, VEGF and uPA.</p>
<p>ERK1/2, a member of the family of mitogen-activated protein kinases (MAPKs), plays an important role in the signalling pathways related to scattering/motility, invasion, proliferation and survival (<xref rid="b46-or-36-05-2893" ref-type="bibr">46</xref>,<xref rid="b47-or-36-05-2893" ref-type="bibr">47</xref>). In addition, activation of ERK1/2 regulates the expression of a variety of important genes in metastasis, including MMP-2/-9, VEGF and uPA (<xref rid="b48-or-36-05-2893" ref-type="bibr">48</xref>,<xref rid="b49-or-36-05-2893" ref-type="bibr">49</xref>). Although in recent years, increased attention was paid to the interaction between the ERK1/2 pathway with other cell signal pathways, the relationship between the Notch signalling and the ERK1/2 pathways is unclear. The results showed that inhibition of Notch3 reduces the expression of pERK1/2, thereby inactivating the ERK1/2 pathway and regulating the expression of MMP-2/-9, VEGF and uPA. Based on the above-mentioned evidence, we suspect that this may be one of the mechanisms by which Notch3 participates in PDAC invasion.</p>
<p>In summary, our results strongly indicated that a high expression of Notch3 significantly correlated with the progression of PDAC and poor patient prognosis. Thus, Notch3 expression may be used as an adjunct to the TNM staging system to evaluate the prognosis of patients with PDAC. <italic>In vitro</italic>, inhibition of Notch3 can decrease the migration and invasion of PDAC cells by regulating the expression of CD44v6, E-cadherin, MMP-2, MMP-9, VEGF and uPA. Therefore, Notch3 may not be only a novel marker of prognosis for patients with PDAC but may also be a molecular target for PDAC therapy. However, the underlying mechanisms involved in these results should be further explored.</p></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The present study was supported by grants from the National Natural Science Foundation of China (grants no. 81470843).</p></ack>
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<floats-group>
<fig id="f1-or-36-05-2893" position="float">
<label>Figure 1</label>
<caption>
<p>Different levels of Notch3 expression in PDAC tissues. (A) Negative. (B) Weak. (C) Moderate. (D) Strong.</p></caption>
<graphic xlink:href="OR-36-05-2893-g00.tif"/></fig>
<fig id="f2-or-36-05-2893" position="float">
<label>Figure 2</label>
<caption>
<p>Kaplan-Meier statistical analysis of postoperative survival curves according to Notch3 expression.</p></caption>
<graphic xlink:href="OR-36-05-2893-g01.tif"/></fig>
<fig id="f3-or-36-05-2893" position="float">
<label>Figure 3</label>
<caption>
<p>The expression of Notch3 mRNA and protein in PDAC cells. (A) Using Transwell cell culture chambers, we detected the migration and invasion capabilities of different PDAC cell lines (PDAC cells vs. pancreatic non-tumour cell). (B and C) RT-PCR and western blotting were performed to assess the expression levels of Notch3 in different PDAC cell lines.</p></caption>
<graphic xlink:href="OR-36-05-2893-g02.tif"/></fig>
<fig id="f4-or-36-05-2893" position="float">
<label>Figure 4</label>
<caption>
<p>siRNA effectively inhibits the expression of Notch3 mRNA and protein in PDAC cells. (A and B) RT-PCR and western blotting were performed to assess the expression of Notch3 in three Notch3 siRNA-transfected PDAC cell lines. The expression of Notch3 was normalized to that of GAPDH (Notch3/GAPDH). (C) Viabilities of PDAC cells were measured by MTT. Data represent the mean &#x000B1; SD, <sup>&#x0002A;</sup>P&lt;0.05 compared to control siRNA-transfected BXPC-3 cells; <sup>#</sup>P&lt;0.05 compared to control siRNA-transfected PANC-1 cells. NT, non-transfection; N3S, Notch3 siRNA-transfection; CS, control siRNA-transfection.</p></caption>
<graphic xlink:href="OR-36-05-2893-g03.tif"/></fig>
<fig id="f5-or-36-05-2893" position="float">
<label>Figure 5</label>
<caption>
<p>Inhibition of Notch3 by siRNA decreases the <italic>in vitro</italic> migration (A and B) and invasion (C and D) capabilities of PDAC cells in Transwell assays, compared to control siRNA treatment. The data represent the mean &#x000B1; SD, <sup>&#x0002A;</sup>P&lt;0.05 compared to control siRNA-transfected BXPC-3 cells; <sup>#</sup>P&lt;0.05 compared to control siRNA-transfected PANC-1 cells. NT, non-transfection; N3S, Notch3 siRNA-transfection; CS, control siRNA-transfection.</p></caption>
<graphic xlink:href="OR-36-05-2893-g04.tif"/></fig>
<fig id="f6-or-36-05-2893" position="float">
<label>Figure 6</label>
<caption>
<p>In PDAC cells, the inhibition of Notch3 by siRNA affects the protein expression of CD44v6, E-cadherin, MMP-2, MMP-9, VEGF and uPA. NT, non-transfection; N3S, Notch3 siRNA-transfection; CS, control siRNA-transfection.</p></caption>
<graphic xlink:href="OR-36-05-2893-g05.tif"/></fig>
<fig id="f7-or-36-05-2893" position="float">
<label>Figure 7</label>
<caption>
<p>In PDAC cells, the inhibition of Notch3 by siRNA affects the protein expression of COX-2 and ERK1/2. NT, non-transfection; N3S, Notch3 siRNA-transfection; CS, control siRNA-transfection.</p></caption>
<graphic xlink:href="OR-36-05-2893-g06.tif"/></fig>
<table-wrap id="tI-or-36-05-2893" position="float">
<label>Table I</label>
<caption>
<p>Association of Notch3 expression with clinicopathological factors of the PDAC patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="left">Tumour characteristic</th>
<th valign="bottom" rowspan="2" align="center">n</th>
<th colspan="2" valign="bottom" align="center">Notch3
<hr/></th>
<th valign="bottom" rowspan="2" align="center">P-value</th>
<th valign="bottom" rowspan="2" align="center">&#x003C7;<sup>2</sup></th></tr>
<tr>
<th valign="bottom" align="center">High (5&#x02013;12 score, %)</th>
<th valign="bottom" align="center">Low (0&#x02013;4 score, %)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">All cases</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">55 (54.5)</td>
<td valign="top" align="center">46 (45.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">Gender</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">34 (57.6)</td>
<td valign="top" align="center">25 (42.4)</td>
<td valign="top" align="center">0.448</td>
<td valign="top" align="center">0.575</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">21 (50.0)</td>
<td valign="top" align="center">21 (50.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">Age (years)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;50</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">30 (60.0)</td>
<td valign="top" align="center">20 (40.0)</td>
<td valign="top" align="center">0.268</td>
<td valign="top" align="center">1.227</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;50</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">25 (49.0)</td>
<td valign="top" align="center">26 (51.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">Tumour grade (differentiation)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Well</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">25 (75.8)</td>
<td valign="top" align="center">8 (24.2)</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">8.968</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Moderately or poorly</td>
<td valign="top" align="center">68</td>
<td valign="top" align="center">30 (44.1)</td>
<td valign="top" align="center">38 (55.9)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">Metastasis</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">28 (73.7)</td>
<td valign="top" align="center">10 (26.3)</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">9.082</td></tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">27 (42.9)</td>
<td valign="top" align="center">36 (57.1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">Venous invasion</td></tr>
<tr>
<td valign="top" align="left">&#x02003;+</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">20 (76.9)</td>
<td valign="top" align="center">6 (23.1)</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">7.126</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02212;</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">35 (46.7)</td>
<td valign="top" align="center">40 (53.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">AJCC TNM stage</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I and II</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">1 (5.3)</td>
<td valign="top" align="center">18 (74.7)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">22.834</td></tr>
<tr>
<td valign="top" align="left">&#x02003;III and IV</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">54 (65.9)</td>
<td valign="top" align="center">28 (34.1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-or-36-05-2893">
<p>PDAC, pancreatic ductal adenocarcinoma; AJCC, American Joint Committee on Cancer; TNM, tumor-node-metastasis.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-or-36-05-2893" position="float">
<label>Table II</label>
<caption>
<p>Univariate and multivariate analysis for overall survival of PDAC patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="middle" align="left">Tumour characteristic</th>
<th valign="middle" align="center">Relative risk (95% CI)</th>
<th valign="middle" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Univariate</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Gender</td>
<td valign="top" align="center">1.024 (0.674&#x02013;1.556)</td>
<td valign="top" align="center">0.911</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Age (years)</td>
<td valign="top" align="center">1.075 (0.711&#x02013;1.625)</td>
<td valign="top" align="center">0.732</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Tumour grade (differentiation)</td>
<td valign="top" align="center">0.578 (0.370&#x02013;0.902)</td>
<td valign="top" align="center">0.016</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Metastasis</td>
<td valign="top" align="center">11.292 (6.203&#x02013;20.557)</td>
<td valign="top" align="center">&lt;0.001</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Venous invasion</td>
<td valign="top" align="center">10.904 (5.925&#x02013;20.066)</td>
<td valign="top" align="center">&lt;0.001</td></tr>
<tr>
<td valign="top" align="left">&#x02003;AJCC TNM stage</td>
<td valign="top" align="center">3.694 (2.022&#x02013;6.748)</td>
<td valign="top" align="center">&lt;0.001</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Notch3</td>
<td valign="top" align="center">2.927 (1.876&#x02013;4.569)</td>
<td valign="top" align="center">&lt;0.001</td></tr>
<tr>
<td valign="top" align="left">Multivariate</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Tumour grade (differentiation)</td>
<td valign="top" align="center">1.194 (0.725&#x02013;1.965)</td>
<td valign="top" align="center">0.486</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Metastasis</td>
<td valign="top" align="center">5.917 (2.762&#x02013;12.676)</td>
<td valign="top" align="center">&lt;0.001</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Venous invasion</td>
<td valign="top" align="center">2.516 (1.240&#x02013;5.108)</td>
<td valign="top" align="center">0.11</td></tr>
<tr>
<td valign="top" align="left">&#x02003;AJCC TNM stage</td>
<td valign="top" align="center">1.961 (0.981&#x02013;3.920)</td>
<td valign="top" align="center">0.057</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Notch3</td>
<td valign="top" align="center">1.960 (1.181&#x02013;3.252)</td>
<td valign="top" align="center">0.009</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-or-36-05-2893">
<p>PDAC, pancreatic ductal adenocarcinoma; 95% CI, 95% confidence interval; AJCC, American Joint Committee on Cancer; TNM, tumor-node-metastasis</p></fn></table-wrap-foot></table-wrap></floats-group></article>
