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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">MCO</journal-id>
<journal-title-group>
<journal-title>Molecular and Clinical Oncology</journal-title>
</journal-title-group>
<issn pub-type="ppub">2049-9450</issn>
<issn pub-type="epub">2049-9469</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mco.2017.1166</article-id>
<article-id pub-id-type="publisher-id">MCO-0-0-1166</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Glasgow Prognostic Score predicts prognosis of intrahepatic cholangiocarcinoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Pan</surname><given-names>Qun-Xiong</given-names></name>
<xref rid="af1-mco-0-0-1166" ref-type="aff"/>
<xref rid="c1-mco-0-0-1166" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Su</surname><given-names>Zi-Jian</given-names></name>
<xref rid="af1-mco-0-0-1166" ref-type="aff"/></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Jian-Hua</given-names></name>
<xref rid="af1-mco-0-0-1166" ref-type="aff"/></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Chong-Ren</given-names></name>
<xref rid="af1-mco-0-0-1166" ref-type="aff"/></contrib>
<contrib contrib-type="author"><name><surname>Ke</surname><given-names>Shao-Ying</given-names></name>
<xref rid="af1-mco-0-0-1166" ref-type="aff"/></contrib>
</contrib-group>
<aff id="af1-mco-0-0-1166">Department of Oncological Surgery, Quanzhou First Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China</aff>
<author-notes>
<corresp id="c1-mco-0-0-1166"><italic>Correspondence to</italic>: Dr Qun-Xiong Pan, Department of Oncological Surgery, Quanzhou First Affiliated Hospital of Fujian Medical University, 250 Anji Road, Fengze, Quanzhou, Fujian 362000, P.R. China, E-mail: <email>710262737@qq.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>04</month>
<year>2017</year></pub-date>
<pub-date pub-type="epub">
<day>16</day>
<month>02</month>
<year>2017</year></pub-date>
<volume>6</volume>
<issue>4</issue>
<fpage>566</fpage>
<lpage>574</lpage>
<history>
<date date-type="received"><day>06</day><month>05</month><year>2016</year></date>
<date date-type="accepted"><day>26</day><month>09</month><year>2016</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017, Spandidos Publications</copyright-statement>
<copyright-year>2017</copyright-year>
</permissions>
<abstract>
<p>High Glasgow Prognostic Score (GPS) has been associated with poor prognosis in patients with lung, ovarian, colorectal and renal cancer, as well as hepatocellular carcinoma. The aim of this study was to investigate the prognostic value of GPS in patients with intrahepatic cholangiocarcinoma (ICC) undergoing partial hepatectomy. A total of 72 patients with pathologically confirmed ICC were classified according to their GPS scores assigned based on the preoperative levels of C-reactive protein (CRP) and albumin. Their clinicopathological data were retrospectively assessed using univariate and multivariate analysis to determine their association with overall survival and recurrence. High GPS scores in ICC patients were associated with preoperative levels of CRP (P&#x003C;0.001) and albumin (P&#x003C;0.001), frequency of ascites accumulation (P=0.035), lymph node metastasis (P=0.002) and tumour size (P=0.005). On univariate analysis, preoperative levels of CRP (P&#x003C;0.001), albumin (P=0.016) and carbohydrate antigen 19&#x2013;9 (P=0.038), hepatitis B virus (HBV) positivity (P=0.009), occurrence of lymph node metastasis (P=0.001), Child-Pugh class B (P=0.013) and high tumour-node-metastasis (TNM) stage (P=0.002) were found to be associated with the 1- and 3-year overall survival. Multivariate analysis suggested that GPS score (HR=2.037, 95&#x0025; CI: 1.092&#x2013;3.799, P=0.025), TNM classification (HR=2.000, 95&#x0025; CI: 1.188&#x2013;3.367, P=0.009) and HBV positivity (HR=0.559 95&#x0025; CI: 0.328&#x2013;0.953, P=0.032) were independently associated with patient survival. High GPS scores also predicted ICC recurrence. In conclusion, our results demonstrated that GPS may serve as an independent marker of prognosis in patients with ICC following partial hepatectomy.</p>
</abstract>
<kwd-group>
<kwd>Glasgow Prognostic Score</kwd>
<kwd>intrahepatic cholangiocarcinoma</kwd>
<kwd>prognostic marker</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Intrahepatic cholangiocarcinoma (ICC) is an intrahepatic malignancy arising from the biliary epithelium in the intrahepatic bile duct from the segmental and area ducts and their finer branches to the small bile ducts and ductules (<xref rid="b1-mco-0-0-1166" ref-type="bibr">1</xref>,<xref rid="b2-mco-0-0-1166" ref-type="bibr">2</xref>). ICC is the second most frequent intrahepatic primary liver tumour after hepatocellular carcinoma (<xref rid="b3-mco-0-0-1166" ref-type="bibr">3</xref>), accounting for 5&#x2013;10&#x0025; of primary liver cancer cases (<xref rid="b4-mco-0-0-1166" ref-type="bibr">4</xref>). Of note, the global incidence of ICC has been steadily increasing over the last 30 years (<xref rid="b4-mco-0-0-1166" ref-type="bibr">4</xref>). From the early 1970s to 1999, the ICC incidence in United States and China increased by &#x003E;150&#x0025; (<xref rid="b4-mco-0-0-1166" ref-type="bibr">4</xref>,<xref rid="b5-mco-0-0-1166" ref-type="bibr">5</xref>). Due to a lack of clinical symptoms and appropriate markers for early diagnosis, ICC is usually diagnosed at an advanced stage (<xref rid="b4-mco-0-0-1166" ref-type="bibr">4</xref>), mostly with local invasion, liver parenchymal and lymph node metastases, leading to a poor outcome following surgical removal, which is currently the only curative option (<xref rid="b6-mco-0-0-1166" ref-type="bibr">6</xref>,<xref rid="b7-mco-0-0-1166" ref-type="bibr">7</xref>). The increasing incidence of ICC, its poor prognosis and lack of treatment options necessitate further studies on its risk factors, early diagnostic markers and prognostic factors.</p>
<p>A number of prognostic factors have previously been reported for ICC, including liver function, vascular invasion, tumour-node-metastasis (TNM) classification and lymph node metastasis (<xref rid="b8-mco-0-0-1166" ref-type="bibr">8</xref>,<xref rid="b9-mco-0-0-1166" ref-type="bibr">9</xref>); however, there is little consensus regarding the appropriate prognostic factors and thresholds (<xref rid="b10-mco-0-0-1166" ref-type="bibr">10</xref>,<xref rid="b11-mco-0-0-1166" ref-type="bibr">11</xref>). Accumulating evidence indicates the prospective of inflammation-based parameters as prognostic factors (<xref rid="b12-mco-0-0-1166" ref-type="bibr">12</xref>). This is supported by the wide range of associations between inflammation and tumour initiation, invasion and metastasis (<xref rid="b13-mco-0-0-1166" ref-type="bibr">13</xref>,<xref rid="b14-mco-0-0-1166" ref-type="bibr">14</xref>). Tumour infiltration and infiltrating lymphocytes in the tumour microenvironment induce the production of a repertoire of cytokines and inflammatory factors (<xref rid="b15-mco-0-0-1166" ref-type="bibr">15</xref>); in turn, interleukin (IL)-6, tumour necrosis factor (TNF) and neutrophil accumulation due to the systemic inflammation, enhance tumour growth, invasion and metastasis (<xref rid="b16-mco-0-0-1166" ref-type="bibr">16</xref>&#x2013;<xref rid="b19-mco-0-0-1166" ref-type="bibr">19</xref>). Targeting IL-6 and TNF to interrupt their signalling cascades has been demonstrated to reduce angiogenesis, myeloid cell infiltration and tumour growth (<xref rid="b20-mco-0-0-1166" ref-type="bibr">20</xref>,<xref rid="b21-mco-0-0-1166" ref-type="bibr">21</xref>).</p>
<p>Over the past decade, a number of parameters and scoring systems have been developed based on systemic inflammation, which may be evaluated by the serum levels of platelets, neutrophils, lymphocytes, albumin and C-reactive protein (CRP), to assess the prognosis of malignant solid tumours. These include the Glasgow Prognostic Score (GPS), which is based on serum CRP and albumin levels (<xref rid="b22-mco-0-0-1166" ref-type="bibr">22</xref>&#x2013;<xref rid="b28-mco-0-0-1166" ref-type="bibr">28</xref>), neutrophil-to-lymphocyte ratio (NLR) (<xref rid="b29-mco-0-0-1166" ref-type="bibr">29</xref>,<xref rid="b30-mco-0-0-1166" ref-type="bibr">30</xref>), platelet-to-lymphocyte ratio (<xref rid="b31-mco-0-0-1166" ref-type="bibr">31</xref>,<xref rid="b32-mco-0-0-1166" ref-type="bibr">32</xref>), prognostic nutritional index (<xref rid="b33-mco-0-0-1166" ref-type="bibr">33</xref>,<xref rid="b34-mco-0-0-1166" ref-type="bibr">34</xref>), and prognostic index (<xref rid="b34-mco-0-0-1166" ref-type="bibr">34</xref>,<xref rid="b35-mco-0-0-1166" ref-type="bibr">35</xref>).</p>
<p>Certain inflammation-based parameters and scoring systems were previously shown to reliably predict the prognosis of cholangiocarcinoma. Preoperative NLR is correlated with the overall survival of ICC patients, and NLR&#x003E;5 is an independent risk factor for recurrence (<xref rid="b36-mco-0-0-1166" ref-type="bibr">36</xref>). GPS is an independent prognostic factor for extrahepatic cholangiocarcinoma according to a study on 62 patients (<xref rid="b37-mco-0-0-1166" ref-type="bibr">37</xref>). The aim of the present study was to investigate the feasibility of using preoperative GPS as an ICC prognostic factor.</p>
</sec>
<sec sec-type="subjects|methods">
<title>Patients and methods</title>
<sec>
<title/>
<sec>
<title>Patient selection</title>
<p>The ICC subjects were recruited among patients who had undergone partial hepatectomy performed by the same group of surgeons at the Department of Oncological Surgery, Quanzhou First Hospital, Fujian Medical University (Quanzhou, China) from June, 2005 to September, 2011. All selected patients had complete long-term follow-up records and their clinical background information was available for retrospective analysis. Patients with preoperative metastasis, or those undergoing systemic chemotherapy, transcatheter arterial chemoembolization, or local ablation therapy, as well as patients with acute inflammation or rheumatoid arthritis, were excluded. Blood tests were performed 3 days prior to surgery and ICC was confirmed by postoperative histopathological examination.</p>
<p>The present study complied with the standards of the Helsinki Declaration on human research ethics and was approved by the Institutional Ethics Board of Fujian Medical University. Written informed consent from the investigated patients was not obtained due to the retrospective nature of this study. All data were analysed anonymously.</p>
</sec>
<sec>
<title>Follow-up survey and data collection</title>
<p>The follow-up surveys were conducted monthly to quarterly within 2 years after surgery, quarterly to half-yearly between 2 and 5 years, and half-yearly thereafter. The survey included comprehensive medical history, measurement of carbohydrate antigen 19&#x2013;9 (CA19-9) levels and imaging surveillance by chest radiography, abdominal Doppler ultrasonography and computed tomography. Survival was calculated in months from the date of surgery to death, and disease-free survival as months from the date of surgery to recurrence. Recurrence was defined as any unequivocal occurrence of new cancer foci during imaging surveillance or histopathological analysis. The follow-up was continued for &#x2264;67 months (mean, 24 months), ending on September 1, 2014 for all 72 patients. Following institutional ethics approval, the complete medical files, including images, clinical pathological materials, and follow-up records, were archived in a database for retrospective analysis.</p>
</sec>
<sec>
<title>Clinical data, biochemical parameters and GPS</title>
<p>The size and number of tumours and presence of vascular invasion were assessed based on postoperative pathological outcomes. Serum CRP concentration was measured by a nephelometric immunoassay on a Beckman Coulter immunochemistry system (IMMAGE 800; Beckman Coulter, Inc., Brea, CA, USA). Serum CA19-9 levels were assessed by electro-chemiluminescent microparticle immunoassay (Roche Diagnostics, Shanghai, China), and a level &#x003E; 37 U/ml was considered to be positive. Biochemical parameters, such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TB) and albumin, were determined using a Beckman Coulter LX-20 clinical chemistry analyser (Beckman Coulter, Inc.). Hepatitis B virus (HBV) was quantified by chemiluminescence using an Architect i2000SR immunoassay analyser (Abbott Diagnostics, Lake Forest, IL, USA). The tumours were staged according to the 7th edition of TNM system (<xref rid="b38-mco-0-0-1166" ref-type="bibr">38</xref>) issued by the American Joint Committee on Cancer/International Union Against Cancer, and graded following the Edmondson system (<xref rid="b39-mco-0-0-1166" ref-type="bibr">39</xref>).</p>
<p>GPS was allocated as previously described, combining preoperative serum CRP and albumin levels. Patients with elevated CRP level (&#x003E;10 mg/l) and hypoalbuminemia (&#x003C;35 g/l) were scored as 2, patients with only one of the two biochemical abnormalities were scored as 1, and patients with neither of the two abnormalities were scored as 0 (<xref rid="b22-mco-0-0-1166" ref-type="bibr">22</xref>,<xref rid="b23-mco-0-0-1166" ref-type="bibr">23</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>All the statistical tests were performed using IBM SPSS Statistics software v.19.0 (IBM SPSS Inc., Armonk, NY, USA). The &#x03C7;<sup>2</sup> test, Fisher&#x0027;s exact probability test and Student&#x0027;s t-test were used for comparison between groups. The non-parametric Mann-Whitney U test was used when variables in groups were not homogeneous. Prognosis was evaluated by 3- and 5-year overall and disease-free survival after surgery. Kaplan-Meier cumulative survivals were calculated and groups with different GPS scores were compared using the log-rank test. The Cox proportional hazards model was used for multivariate analysis and a threshold &#x03B1;=0.05 was used.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Patient characteristics</title>
<p>The median age of the 72 patients was 55 years (mean &#x00B1; standard deviation, 53.26&#x00B1;11.05 years); 29 of the patients were male and 43 female (<xref rid="tI-mco-0-0-1166" ref-type="table">Table I</xref>). A total of 63 and 9 patients were classified as Child-Pugh A and B, respectively; there were no class C patients. A total of 34 (47.2&#x0025;) patients were positive for antibodies against HBV. The overall 1-, 3- and 5-year postoperative survival was 55.56, 29.20 and 8.33&#x0025;, respectively, with a median survival of 34 months.</p>
<p>A total of 14 (19.4&#x0025;) patients exhibited elevated CRP levels (&#x003E;10 g/l), and 16 (22.2&#x0025;) patients had hypoalbuminemia (serum albumin &#x003C;35 g/l). As a result, 49 (68.1&#x0025;) patients were scored a GPS of 0, 16 (22.2&#x0025;) patients were scored a GPS of 1 and 7 (9.7&#x0025;) patients were scored a GPS of 2 (<xref rid="tII-mco-0-0-1166" ref-type="table">Table II</xref>). There was no significant difference between the GPS groups in terms of age (P=0.191), gender (P=0.209), ALT (P=0.105), &#x03B1;-fetoprotein (P=0.588), AST (P=0.204), total bilirubin (P=0.816), HBV positivity (P=0.324), CA-199 (P=0.824), tumour number (P=0.850) and vascular invasion (P=0.234). However, significant differences were found between different GPS groups in the preoperative levels of CRP (P&#x003C;0.001) and albumin (P&#x003C;0.001), frequency of ascites accumulation (P=0.035), lymph node metastasis (P=0.002) and tumour size (P=0.005). A higher GPS was also correlated with Child-Pugh class (P=0.003) and TNM stage (P=0.048). Patients with higher GPS score (1 or 2) had higher serum CRP levels, lower albumin levels, and were more likely classified as Child-Pugh class B and higher TNM stage, compared with GPS 0 patients; they also more frequently presented with ascites and lymph node metastasis (<xref rid="tII-mco-0-0-1166" ref-type="table">Table II</xref>).</p>
</sec>
<sec>
<title>GPS predicts overall survival</title>
<p>The 1- and 3-year overall survival rates of ICC patients with a GPS score of 0 (GPS-low) were 69.1 and 40.7&#x0025;, respectively. The 1- and 3-year overall survival rates of ICC patients with a GPS score of 1 were 31.3 and 6.3&#x0025;, respectively; for patients with a GPS score of 2, these rates decreased to 28.6 and 0&#x0025;, respectively. Kaplan-Meier analysis with a log-rank test indicated a significant decrease in the survival rate of patients with higher GPS scores (1 or 2) compared with the GPS-low group (<xref rid="f1-mco-0-0-1166" ref-type="fig">Fig. 1</xref>, P&#x003C;0.001). However, there was no significant difference in survival between patients with a GPS score of 1 and 2 (P=0.428); thus, these two populations were merged into a GPS-high group and compared with the GPS-low patients. The 1- and 3-year overall survival rates of patients from the GPS-high group were 30.4 and 10.4&#x0025;, respectively, which were significantly lower compared with those of the GPS-low group (<xref rid="f2-mco-0-0-1166" ref-type="fig">Fig. 2</xref>, P&#x003C;0.001).</p>
<p>On univariate analysis to assess the other prognostic factors, preoperative CRP (P&#x003C;0.001), albumin (P=0.016) and CA19-9 (P=0.038) levels were found to be significantly associated with the 1- and 3-year overall survival. Occurrence of lymph node metastasis (P=0.001), HBV positivity (P=0.009), Child-Pugh class B (P=0.013) and high TNM stage (P=0.002) also predicted poor survival in ICC patients.</p>
<p>Due to the association of GPS with CRP and albumin levels, its correlation with patient survival was assessed in a multivariate analysis using a Cox proportional hazards model. Also included in the multivariate analysis were 5 variables other than CRP and albumin, such as CA19-9, occurrence of lymph node metastasis, positivity for HBV, Child-Pugh class and TNM stage, which were correlated with patient survival based on the univariate analysis (<xref rid="tIII-mco-0-0-1166" ref-type="table">Table III</xref>). The multivariate analysis revealed that GPS (HR=2.037, 95&#x0025; CI: 1.092&#x2013;3.799, P=0.025), TNM classification (HR=2.000, 95&#x0025; CI: 1.188&#x2013;3.367, P=0.009) and HBV positivity (HR=0.559, 95&#x0025; CI: 0.328&#x2013;0.953, P=0.032) were independently associated with overall survival (<xref rid="tIII-mco-0-0-1166" ref-type="table">Table III</xref>).</p>
</sec>
<sec>
<title>GPS correlates with the recurrence of ICC</title>
<p>Analysis of the time and frequency of ICC recurrence following hepatectomy unveiled a significantly higher recurrence frequency among the GPS-high patients compared with that among the GPS-low patients. The GPS-low patients had a 35.3 and 64.7&#x0025; risk of developing recurrent disease after 1 and 3 years, respectively, whereas ICC recurred in 78.3&#x0025; of the GPS-high patients after 1 year and 100&#x0025; after 3 years, indicating a significantly poorer progression-free survival (<xref rid="f2-mco-0-0-1166" ref-type="fig">Fig. 2</xref>, P&#x003C;0.001). Multivariate analysis suggested that GPS (HR=1.969, 95&#x0025; CI: 1.014&#x2013;3.822, P=0.045), TNM classification (HR=2.816, 95&#x0025; CI: 1.565&#x2013;5.066, P=0.001) and HBV positivity (HR=0.426, 95&#x0025; CI: 0.232&#x2013;0.785, P=0.006) were independent prognostic factors for ICC recurrence (<xref rid="tIII-mco-0-0-1166" ref-type="table">Table III</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>An association between inflammation and ICC progression has been established. The risk factors for ICC incidence vary with different geographic regions: In Asia, ICC is mainly due to infection by pathogens including liver flukes and hepatitis B and C viruses; in Western countries, it may be attributed to chronic inflammation, primary sclerosing cholangitis, obesity, hepatolithiasis, bacterial infection and bile stasis-related chronic cholangitis (<xref rid="b40-mco-0-0-1166" ref-type="bibr">40</xref>). Chronic inflammation and biliary irritation are, however, commonly shared among these diseases (<xref rid="b40-mco-0-0-1166" ref-type="bibr">40</xref>). These support recent findings that inflammation-based scores or parameters may be used as prognostic markers for patients with cholangiocarcinoma (<xref rid="b36-mco-0-0-1166" ref-type="bibr">36</xref>,<xref rid="b37-mco-0-0-1166" ref-type="bibr">37</xref>). In this study, we demonstrated that the inflammation-based prognostic score, GPS, is associated with the recurrence and overall survival of ICC patients and may be used as an independent prognostic marker.</p>
<p>Analysis of clinicopathological data of 72 ICC patients indicated that GPS classification precisely reflects the preoperative CRP and albumin levels, Child-Pugh class, tumour size, TNM classification, and the occurrence of ascites and lymph node metastasis. Patients with high GPS scores (1 or 2) exhibited a significantly shorter overall survival compared with those with a low GPS score (0), although no statistically significant difference was observed between patients with GPS scores of 1 and 2, which is likely due to the limited number of patients in these two groups. Our analysis using the Cox hazards model suggested that GPS, as well as TNM classification and HBV positivity, is an independent prognostic factor for the recurrence of ICC and the overall patient survival.</p>
<p>Although GPS has frequently been associated with the prognosis of solid tumours, such as lung (<xref rid="b22-mco-0-0-1166" ref-type="bibr">22</xref>,<xref rid="b23-mco-0-0-1166" ref-type="bibr">23</xref>), liver (<xref rid="b27-mco-0-0-1166" ref-type="bibr">27</xref>,<xref rid="b28-mco-0-0-1166" ref-type="bibr">28</xref>), kidney (<xref rid="b26-mco-0-0-1166" ref-type="bibr">26</xref>), ovarian (<xref rid="b24-mco-0-0-1166" ref-type="bibr">24</xref>), colorectal (<xref rid="b25-mco-0-0-1166" ref-type="bibr">25</xref>), gastric (<xref rid="b41-mco-0-0-1166" ref-type="bibr">41</xref>,<xref rid="b42-mco-0-0-1166" ref-type="bibr">42</xref>) and pancreatic cancer (<xref rid="b43-mco-0-0-1166" ref-type="bibr">43</xref>), the association has yet to be fully elucidated. One component of the GPS score, CRP, is an acute phase protein synthesized by hepatocytes in response to inflammation, infection, tissue damage and cancer, reflecting systemic inflammation (<xref rid="b44-mco-0-0-1166" ref-type="bibr">44</xref>). Although there is no causal association between elevated CRP and cancer development, the cytokines that mediate CRP, such as IL-1, IL-6 and TNF, are key pro-inflammatory factors in hepatobiliary inflammation and cancer (<xref rid="b45-mco-0-0-1166" ref-type="bibr">45</xref>). For example, IL-6 contributes to the growth of malignant cholangiocytes by affecting the promoter methylation and expression of several genes, including epidermal growth factor receptor (<xref rid="b46-mco-0-0-1166" ref-type="bibr">46</xref>). IL-6 also promotes malignant cholangiocyte growth by activating the mitogen-activated protein kinase pathway and enhancing the expression of the anti-apoptotic protein myeloid cell leukemia-1 in an either autocrine or paracrine manner (<xref rid="b47-mco-0-0-1166" ref-type="bibr">47</xref>,<xref rid="b48-mco-0-0-1166" ref-type="bibr">48</xref>). These are consistent with the significant preoperative increase of IL-6 in the serum of patients with cholangiocarcinoma and its apparent decrease after surgery (<xref rid="b49-mco-0-0-1166" ref-type="bibr">49</xref>,<xref rid="b50-mco-0-0-1166" ref-type="bibr">50</xref>). IL-1 family cytokines and TNF also facilitate oncogenesis of cholangiocarcinoma, as previously described (<xref rid="b51-mco-0-0-1166" ref-type="bibr">51</xref>&#x2013;<xref rid="b53-mco-0-0-1166" ref-type="bibr">53</xref>). These may partially underlie the mechanism through which GPS score correlates with the prognosis of ICC patients.</p>
<p>Preoperative serum albumin reflects nutritional status (<xref rid="b54-mco-0-0-1166" ref-type="bibr">54</xref>,<xref rid="b55-mco-0-0-1166" ref-type="bibr">55</xref>); it decreases in response to systemic inflammation during malignant tumour growth, leading to hypoalbuminemia and weight loss (<xref rid="b56-mco-0-0-1166" ref-type="bibr">56</xref>), which may in turn affect the immune system of the cancer patients (<xref rid="b57-mco-0-0-1166" ref-type="bibr">57</xref>). Hypoalbuminemia therefore suggests systemic inflammation and immune suppression, in association with the initiation and progression of malignant tumours, and has been reported as an independent prognostic marker for ICC (<xref rid="b58-mco-0-0-1166" ref-type="bibr">58</xref>). These findings explain the correlation of GPS with recurrence and prognosis of ICC patients observed in this study.</p>
<p>Our data indicated that 47.2&#x0025; of ICC patients were positive for hepatitis B surface antigen, and these patients generally exhibited longer overall and progression-free survival. Accumulating evidence suggests a correlation of ICC development with HBV infection (<xref rid="b59-mco-0-0-1166" ref-type="bibr">59</xref>,<xref rid="b60-mco-0-0-1166" ref-type="bibr">60</xref>). HBV DNA may be detectable in tumour tissues from a proportion of the ICC patients (<xref rid="b61-mco-0-0-1166" ref-type="bibr">61</xref>,<xref rid="b62-mco-0-0-1166" ref-type="bibr">62</xref>). Chronic HBV and hepatitis C virus infection represent risk factors for ICC occurrence based on a meta-analysis of 13 case-control and 3 cohort studies (<xref rid="b63-mco-0-0-1166" ref-type="bibr">63</xref>). However, ICC patients carrying HBV had a better prognosis compared with those without HBV infection (<xref rid="b64-mco-0-0-1166" ref-type="bibr">64</xref>,<xref rid="b65-mco-0-0-1166" ref-type="bibr">65</xref>). This is likely due to a lower tendency for metastasis towards the perihepatic lymph nodes and a higher rate of encapsulation in ICC patients with HBV (<xref rid="b66-mco-0-0-1166" ref-type="bibr">66</xref>,<xref rid="b67-mco-0-0-1166" ref-type="bibr">67</xref>). In addition, the immunological memory caused by a previous HBV infection may be quickly activated by the HBV-relevant ICC, promoting antitumour immunity (<xref rid="b68-mco-0-0-1166" ref-type="bibr">68</xref>,<xref rid="b69-mco-0-0-1166" ref-type="bibr">69</xref>).</p>
<p>The prognosis of ICC is currently assessed postoperatively by the complicated TNM classification, the Barcelona Clinic Liver Cancer staging system (<xref rid="b70-mco-0-0-1166" ref-type="bibr">70</xref>), and the Cancer Liver Italian Program scoring system (<xref rid="b71-mco-0-0-1166" ref-type="bibr">71</xref>). GPS scoring represents a simple and easily applicable method, based on preoperative serum CRP and albumin levels, which may be determined biochemically. The present study revealed a significant correlation between the overall and progression-free survival of ICC patients following resection and their preoperative GPS scores, and supports GPS as an effective and easily achievable prognostic marker for ICC patients.</p>
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<title>Acknowledgements</title>
<p>We would like to thank all the members of the Department of Oncological Surgery of the First Affiliated Hospital of Fujian Medical University for their help and support.</p>
</ack>
<ref-list>
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</back>
<floats-group>
<fig id="f1-mco-0-0-1166" position="float">
<label>Figure 1.</label>
<caption><p>Kaplan-Meier analysis of overall survival of intrahepatic cholangiocarcinoma patients. The cases were assigned to Glasgow Prognostic Score (GPS) 0, 1 and 2 groups. There was a significant decrease in the survival rate of patients with higher GPS scores (1 or 2) compared with the GPS-low (0) group (P&#x003C;0.001). However, no significant difference in survival was observed between patients with a GPS score of 1 and 2 (P=0.428).</p></caption>
<graphic xlink:href="mco-06-04-0566-g00.tif"/>
</fig>
<fig id="f2-mco-0-0-1166" position="float">
<label>Figure 2.</label>
<caption><p>Kaplan-Meier survival curves showing the differences in (A) survival and (B) recurrence between the two Glasgow Prognostic Score (GPS) groups (0 vs.1 or 2) in patients with intrahepatic cholangiocarcinoma (ICC). (A) The 1- and 3-year overall survival rates of patients in the GPS-high group were 30.4 and 10.4&#x0025;, respectively, which were significantly lower compared with the GPS-low group. (B) The GPS-low patients had a 35.3 and 64.7&#x0025; risk of developing recurrent disease after 1 and 3 years, respectively, whereas ICC recurred in 78.3&#x0025; of the GPS-high patients after 1 year and 100&#x0025; after 3 years, indicating a significantly poorer progression-free survival.</p></caption>
<graphic xlink:href="mco-06-04-0566-g01.tif"/>
</fig>
<table-wrap id="tI-mco-0-0-1166" position="float">
<label>Table I.</label>
<caption><p>Clinicopathological characteristics of the patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristics</th>
<th align="center" valign="bottom">No.</th>
<th align="center" valign="bottom">Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">40.30</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">59.70</td>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Median</td>
<td align="center" valign="top">55</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mean &#x00B1; SD</td>
<td align="center" valign="top">53.26&#x00B1;11.05</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Child-Pugh class</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;A</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">87.50</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;B</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">12.50</td>
</tr>
<tr>
<td align="left" valign="top">CRP (mg/l)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;10</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">80.60</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;10</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">19.40</td>
</tr>
<tr>
<td align="left" valign="top">Albumin (g/l)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;35</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">22.20</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;35</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">77.80</td>
</tr>
<tr>
<td align="left" valign="top">HBV status</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">47.20</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">52.80</td>
</tr>
<tr>
<td align="left" valign="top">Vascular invasion</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">44.40</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">55.60</td>
</tr>
<tr>
<td align="left" valign="top">N&#x03BF;. of tumours</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">76.40</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;2</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">23.60</td>
</tr>
<tr>
<td align="left" valign="top">Tumour size (cm)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;5</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">72.20</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;5</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">27.80</td>
</tr>
<tr>
<td align="left" valign="top">AFP (ng/ml)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;400</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">58.30</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;400</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">41.70</td>
</tr>
<tr>
<td align="left" valign="top">ALT (U/l)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;40</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">55.60</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;40</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">44.40</td>
</tr>
<tr>
<td align="left" valign="top">AST (U/l)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;40</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">54.20</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;40</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">45.80</td>
</tr>
<tr>
<td align="left" valign="top">Total bilirubin (&#x00B5;mol/l)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;17.1</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">56.90</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;17.1</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">43.10</td>
</tr>
<tr>
<td align="left" valign="top">Ascites</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">87.50</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">12.50</td>
</tr>
<tr>
<td align="left" valign="top">CA19-9 (U/l)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;37</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">37.50</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;37</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">62.50</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node metastases</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">29.20</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">70.80</td>
</tr>
<tr>
<td align="left" valign="top">TNM classification</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">62.50</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;II</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">33.33</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">4.20</td>
</tr>
<tr>
<td align="left" valign="top">GPS score</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">68.10</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">22.20</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">9.70</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-mco-0-0-1166"><p>CRP, C-reactive protein; HBsAg, hepatitis B surface antigen; AFP, &#x03B1;-fetoprotein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CA19-9, carbohydrate antigen 19&#x2013;9; TNM, tumour-node-metastasis; GPS, Glasgow Prognostic Score.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-mco-0-0-1166" position="float">
<label>Table II.</label>
<caption><p>Association of GPS score with clinicopathological characteristics in patients undergoing hepatectomy.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristics</th>
<th align="center" valign="bottom">Overall (n=72)</th>
<th align="center" valign="bottom">GPS=0 (n=49)</th>
<th align="center" valign="bottom">GPS=1 (n=16)</th>
<th align="center" valign="bottom">GPS=2 (n=7)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mean &#x00B1; SD</td>
<td align="center" valign="top">53.26&#x00B1;11.05</td>
<td align="center" valign="top">53.51&#x00B1;11.16</td>
<td align="center" valign="top">49.88&#x00B1;13.00</td>
<td align="center" valign="top">59.29&#x00B1;8.538</td>
<td align="center" valign="top">0.191</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.209</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">2</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Child-Pugh class</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.003</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;A</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">4</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;B</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">3</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">CRP (mg/l)</td>
<td align="center" valign="top">8.321&#x00B1;16.33</td>
<td align="center" valign="top">2.34&#x00B1;2.52</td>
<td align="center" valign="top">12.07&#x00B1;10.24</td>
<td align="center" valign="top">41.65&#x00B1;34.88</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">Albumin (g/l)</td>
<td align="center" valign="top">36.99&#x00B1;5.05</td>
<td align="center" valign="top">39.34&#x00B1;3.12</td>
<td align="center" valign="top">32.93&#x00B1;5.31</td>
<td align="center" valign="top">29.90&#x00B1;2.61</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">HBV status</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.324</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Vascular invasion</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.234</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">6</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumour size (cm)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.005</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mean &#x00B1; SD</td>
<td align="center" valign="top">5.82&#x00B1;3.42</td>
<td align="center" valign="top">5.01&#x00B1;3.22</td>
<td align="center" valign="top">7.06&#x00B1;3.37</td>
<td align="center" valign="top">8.71&#x00B1;2.81</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No. of tumours</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.850</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;2</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">2</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">AFP (ng/ml)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mean &#x00B1; SD</td>
<td align="center" valign="top">4,130.0&#x00B1;10,926.52</td>
<td align="center" valign="top">4,645.83&#x00B1;12,107.70</td>
<td align="center" valign="top">3,088.98&#x00B1;7,596.47</td>
<td align="center" valign="top">253.63&#x00B1;5,536.98</td>
<td align="center" valign="top">0.588</td>
</tr>
<tr>
<td align="left" valign="top">ALT (U/l)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mean &#x00B1; SD</td>
<td align="center" valign="top">83.24&#x00B1;166.23</td>
<td align="center" valign="top">60.12&#x00B1;73.20</td>
<td align="center" valign="top">160.81&#x00B1;323.78</td>
<td align="center" valign="top">67.71&#x00B1;39.13</td>
<td align="center" valign="top">0.105</td>
</tr>
<tr>
<td align="left" valign="top">AST (U/l)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mean &#x00B1; SD</td>
<td align="center" valign="top">85.26&#x00B1;153.28</td>
<td align="center" valign="top">63.40&#x00B1;74.93</td>
<td align="center" valign="top">140.48&#x00B1;295.08</td>
<td align="center" valign="top">106.67&#x00B1;51.43</td>
<td align="center" valign="top">0.204</td>
</tr>
<tr>
<td align="left" valign="top">Total bilirubin (&#x00B5;mol/l)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mean &#x00B1; SD</td>
<td align="center" valign="top">24.58&#x00B1;26.41</td>
<td align="center" valign="top">23.96&#x00B1;20.62</td>
<td align="center" valign="top">28.89&#x00B1;46.83</td>
<td align="center" valign="top">21.92&#x00B1;15.63</td>
<td align="center" valign="top">0.816</td>
</tr>
<tr>
<td align="left" valign="top">CA 19&#x2013;9 (U/l)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.824</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;37</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">3</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;37</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">4</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ascites</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.035</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">4</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">4</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node metastases</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.002</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">4</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">3</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">TNM classification</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.048</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;II</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-mco-0-0-1166"><p>Bold print indicates statistical significance. CRP, C-reactive protein; HBsAg, hepatitis B surface antigen; AFP, &#x03B1;-fetoprotein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CA 19&#x2013;9, carbohydrate antigen 19&#x2013;9; TNM, tumour-node-metastasis; GPS, Glasgow Prognostic Score.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-mco-0-0-1166" position="float">
<label>Table III.</label>
<caption><p>Univariate and multivariate analyses of clinicopathological factors for overall and disease-free survival.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="4">Overall survival</th>
<th align="center" valign="bottom" colspan="4">Disease-free survival</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="4"><hr/></th>
<th align="center" valign="bottom" colspan="4"><hr/></th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">Survival rate (&#x0025;)</th>
<th align="center" valign="bottom">Univariate</th>
<th align="center" valign="bottom">Multivariate</th>
<th align="center" valign="bottom" colspan="2">Survival rate (&#x0025;)</th>
<th align="center" valign="bottom">Univariate</th>
<th align="center" valign="bottom">Multivariate</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"></th>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"></th>
<th/>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">1-year</th>
<th align="center" valign="bottom">3-year</th>
<th align="center" valign="bottom">P value</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">1-year</th>
<th align="center" valign="bottom">3-year</th>
<th align="center" valign="bottom">P value</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male (n=43)</td>
<td align="center" valign="top">57.7</td>
<td align="center" valign="top">35.6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.137</td>
<td/>
<td align="center" valign="top">47.5</td>
<td align="center" valign="top">16.1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.120</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female (n=29)</td>
<td align="center" valign="top">55.1</td>
<td align="center" valign="top">23.7</td>
<td/>
<td/>
<td align="center" valign="top">50.6</td>
<td align="center" valign="top">30.1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;55 (n=36)</td>
<td align="center" valign="top">50.0</td>
<td align="center" valign="top">26.8</td>
<td align="center" valign="top">0.293</td>
<td/>
<td align="center" valign="top">38.9</td>
<td align="center" valign="top">18.5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.318</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;55 (n=36)</td>
<td align="center" valign="top">60.4</td>
<td align="center" valign="top">36.3</td>
<td/>
<td/>
<td align="center" valign="top">54.8</td>
<td align="center" valign="top">24.7</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Child-Pugh class</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;A (n=63)</td>
<td align="center" valign="top">60.1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;33.7</td>
<td align="center" valign="top"><bold>0.013</bold></td>
<td/>
<td align="center" valign="top">52.0</td>
<td align="center" valign="top">28.4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;<bold>0.005</bold></td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;B (n=9)</td>
<td align="center" valign="top">22.2</td>
<td align="center" valign="top">0</td>
<td/>
<td/>
<td align="center" valign="top">15.3</td>
<td align="center" valign="top">0</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">CRP (mg/l)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;10 (n=58)</td>
<td align="center" valign="top">65.2</td>
<td align="center" valign="top">36.9</td>
<td align="center" valign="top">&#x00A0;&#x00A0;<bold>&#x003C;0.001</bold></td>
<td/>
<td align="center" valign="top">57.8</td>
<td align="center" valign="top">32.7</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;10 (n=14)</td>
<td align="center" valign="top">14.3</td>
<td align="center" valign="top">7.1</td>
<td/>
<td/>
<td align="center" valign="top">7.1</td>
<td align="center" valign="top">0</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Albumin (g/l)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;35 (n=16)</td>
<td align="center" valign="top">37.5</td>
<td align="center" valign="top">7.8</td>
<td align="center" valign="top"><bold>0.016</bold></td>
<td/>
<td align="center" valign="top">25.0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.007</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;35 (n=56)</td>
<td align="center" valign="top">62.3</td>
<td align="center" valign="top">37.3</td>
<td/>
<td/>
<td align="center" valign="top">58.4</td>
<td align="center" valign="top">31.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">HBV status</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;<bold>0.032</bold></td>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.006</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive (n=34)</td>
<td align="center" valign="top">67.6</td>
<td align="center" valign="top">47.2</td>
<td align="center" valign="top"><bold>0.009</bold></td>
<td align="center" valign="top"><bold>(0.328&#x2013;0.953)</bold></td>
<td align="center" valign="top">61.8</td>
<td align="center" valign="top">31.8</td>
<td align="center" valign="top"><bold>0.003</bold></td>
<td align="center" valign="top"><bold>(0.232&#x2013;0.785)</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative (n=38)</td>
<td align="center" valign="top">43.8</td>
<td align="center" valign="top">18.4</td>
<td/>
<td/>
<td align="center" valign="top">31.9</td>
<td align="center" valign="top">10.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Vascular invasion</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes (n=40)</td>
<td align="center" valign="top">54.3</td>
<td align="center" valign="top">30.6</td>
<td align="center" valign="top">0.879</td>
<td align="center" valign="top">&#x00A0;&#x00A0;</td>
<td align="center" valign="top">46.4</td>
<td align="center" valign="top">27.0</td>
<td align="center" valign="top">0.875</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No (n=32)</td>
<td align="center" valign="top">53.1</td>
<td align="center" valign="top">31.3</td>
<td/>
<td/>
<td align="center" valign="top">50.0</td>
<td align="center" valign="top">21.9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">No. of tumours</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;1 (n=55)</td>
<td align="center" valign="top">54.2</td>
<td align="center" valign="top">31.5</td>
<td align="center" valign="top">0.838</td>
<td/>
<td align="center" valign="top">42.1</td>
<td align="center" valign="top">25.2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.820</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;2 (n=17)</td>
<td align="center" valign="top">52.9</td>
<td align="center" valign="top">29.4</td>
<td/>
<td/>
<td align="center" valign="top">47.1</td>
<td align="center" valign="top">212</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node metastasis</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative (n=51)</td>
<td align="center" valign="top">62.3</td>
<td align="center" valign="top">38.1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;<bold>0.001</bold></td>
<td/>
<td align="center" valign="top">60.3</td>
<td align="center" valign="top">35.6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;<bold>0.002</bold></td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive (n=21)</td>
<td align="center" valign="top">38.1</td>
<td align="center" valign="top">14.3</td>
<td/>
<td/>
<td align="center" valign="top">28.6</td>
<td align="center" valign="top">0</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumour size (cm)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;5 (n=20)</td>
<td align="center" valign="top">69.6</td>
<td align="center" valign="top">44.7</td>
<td align="center" valign="top">0.054</td>
<td/>
<td align="center" valign="top">69.1</td>
<td align="center" valign="top">43.0</td>
<td align="center" valign="top"><bold>0.028</bold></td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;5 (n=52)</td>
<td align="center" valign="top">49.5</td>
<td align="center" valign="top">29.8</td>
<td/>
<td/>
<td align="center" valign="top">43.8</td>
<td align="center" valign="top">17.7</td>
<td align="center" valign="top">&#x00A0;&#x00A0;</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">AFP (ng/ml)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;400 (n=43)</td>
<td align="center" valign="top">62.1</td>
<td align="center" valign="top">39.2</td>
<td align="center" valign="top">0.082</td>
<td/>
<td align="center" valign="top">61.0</td>
<td align="center" valign="top">29.4</td>
<td align="center" valign="top">0.076</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;400 (n=29)</td>
<td align="center" valign="top">41.4</td>
<td align="center" valign="top">22.6</td>
<td/>
<td/>
<td align="center" valign="top">36.7</td>
<td align="center" valign="top">17.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">ALT (U/l)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;40 (n=40)</td>
<td align="center" valign="top">59.7</td>
<td align="center" valign="top">31.9</td>
<td align="center" valign="top">0.622</td>
<td/>
<td align="center" valign="top">54.5</td>
<td align="center" valign="top">19.8</td>
<td align="center" valign="top">0.798</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;40 (n=32)</td>
<td align="center" valign="top">52.9</td>
<td align="center" valign="top">33.1</td>
<td/>
<td/>
<td align="center" valign="top">46.2</td>
<td align="center" valign="top">26.0</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">AST (U/l)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;40 (n=39)</td>
<td align="center" valign="top">66.3</td>
<td align="center" valign="top">41.1</td>
<td align="center" valign="top">0.217</td>
<td/>
<td align="center" valign="top">61.0</td>
<td align="center" valign="top">25.7</td>
<td align="center" valign="top">0.166</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;40 (n=33)</td>
<td align="center" valign="top">45.5</td>
<td align="center" valign="top">22.6</td>
<td/>
<td/>
<td align="center" valign="top">38.8</td>
<td align="center" valign="top">19.8</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Total bilirubin (&#x00B5;mol/l)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;17.1 (n=41)</td>
<td align="center" valign="top">58.3</td>
<td align="center" valign="top">41.5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.574</td>
<td/>
<td align="center" valign="top">55.4</td>
<td align="center" valign="top">26.7</td>
<td align="center" valign="top">0.716</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;17.1 (n=31)</td>
<td align="center" valign="top">54.8</td>
<td align="center" valign="top">21.8</td>
<td/>
<td/>
<td align="center" valign="top">45.2</td>
<td align="center" valign="top">18.1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">CA19-9 (U/l)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;37 (n=27)</td>
<td align="center" valign="top">66.0</td>
<td align="center" valign="top">38.8</td>
<td align="center" valign="top"><bold>0.038</bold></td>
<td/>
<td align="center" valign="top">62.0</td>
<td align="center" valign="top">32.5</td>
<td align="center" valign="top"><bold>0.046</bold></td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;37 (n=45)</td>
<td align="center" valign="top">46.6</td>
<td align="center" valign="top">24.0</td>
<td/>
<td/>
<td align="center" valign="top">44.1</td>
<td align="center" valign="top">16.0</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ascites</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative (n=63)</td>
<td align="center" valign="top">56.9</td>
<td align="center" valign="top">33.6</td>
<td align="center" valign="top">0.676</td>
<td/>
<td align="center" valign="top">50.4</td>
<td align="center" valign="top">24.7</td>
<td align="center" valign="top">0.597</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive (n=9)</td>
<td align="center" valign="top">53.3</td>
<td align="center" valign="top">20.0</td>
<td/>
<td/>
<td align="center" valign="top">40.0</td>
<td align="center" valign="top">15.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">TNM classification</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I (n=3)</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top"><bold>0.002</bold></td>
<td align="center" valign="top"><bold>0.009 (1.188 3.367)</bold></td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top"><bold>0.001 (1.565&#x2013;5.066)</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;II (n=24)</td>
<td align="center" valign="top">70.1</td>
<td align="center" valign="top">48.8</td>
<td/>
<td/>
<td align="center" valign="top">65.2</td>
<td align="center" valign="top">34.5</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III (n=45)</td>
<td align="center" valign="top">44.4</td>
<td align="center" valign="top">20.0</td>
<td/>
<td/>
<td align="center" valign="top">37.8</td>
<td align="center" valign="top">11.1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">GPS</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;<bold>0.025</bold></td>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.045</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;0 (n=49)</td>
<td align="center" valign="top">69.1</td>
<td align="center" valign="top">40.7</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top"><bold>(1.092&#x2013;3.799)</bold></td>
<td align="center" valign="top">64.7</td>
<td align="center" valign="top">35.7</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top"><bold>(1.014&#x2013;3.822)</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;1 or 2 (n=23)</td>
<td align="center" valign="top">30.4</td>
<td align="center" valign="top">10.4</td>
<td/>
<td/>
<td align="center" valign="top">21.7</td>
<td align="center" valign="top">0</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-mco-0-0-1166"><p>Bold print indicates statistical significance. CI, confidence Interval; CRP, C-reactive protein; HBsAg, hepatitis B surface antigen; AFP, &#x03B1;-fetoprotein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CA19-9, carbohydrate antigen 19&#x2013;9; TNM, tumour-node-metastasis; GPS, Glasgow Prognostic Score.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
