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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2016.4913</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-4913</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Mean platelet volume provides beneficial diagnostic and prognostic information for patients with resectable gastric cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Shen</surname><given-names>Xiao-Ming</given-names></name>
<xref rid="af1-ol-0-0-4913" ref-type="aff">1</xref>
<xref rid="fn1-ol-0-0-4913" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Xia</surname><given-names>You-You</given-names></name>
<xref rid="af2-ol-0-0-4913" ref-type="aff">2</xref>
<xref rid="af3-ol-0-0-4913" ref-type="aff">3</xref>
<xref rid="fn1-ol-0-0-4913" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Lian</surname><given-names>Lian</given-names></name>
<xref rid="af1-ol-0-0-4913" ref-type="aff">1</xref>
<xref rid="af4-ol-0-0-4913" ref-type="aff">4</xref>
<xref rid="fn1-ol-0-0-4913" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhou</surname><given-names>Chong</given-names></name>
<xref rid="af5-ol-0-0-4913" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Xiang-Li</given-names></name>
<xref rid="af6-ol-0-0-4913" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author"><name><surname>Han</surname><given-names>Shu-Guang</given-names></name>
<xref rid="af6-ol-0-0-4913" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author"><name><surname>Zheng</surname><given-names>Yan</given-names></name>
<xref rid="af1-ol-0-0-4913" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Gong</surname><given-names>Fei-Ran</given-names></name>
<xref rid="af7-ol-0-0-4913" ref-type="aff">7</xref></contrib>
<contrib contrib-type="author"><name><surname>Tao</surname><given-names>Min</given-names></name>
<xref rid="af4-ol-0-0-4913" ref-type="aff">4</xref>
<xref rid="af8-ol-0-0-4913" ref-type="aff">8</xref>
<xref rid="af9-ol-0-0-4913" ref-type="aff">9</xref>
<xref rid="af10-ol-0-0-4913" ref-type="aff">10</xref></contrib>
<contrib contrib-type="author"><name><surname>Mao</surname><given-names>Zhong-Qi</given-names></name>
<xref rid="af11-ol-0-0-4913" ref-type="aff">11</xref>
<xref rid="c2-ol-0-0-4913" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Wei</given-names></name>
<xref rid="af4-ol-0-0-4913" ref-type="aff">4</xref>
<xref rid="af8-ol-0-0-4913" ref-type="aff">8</xref>
<xref rid="af10-ol-0-0-4913" ref-type="aff">10</xref>
<xref rid="c1-ol-0-0-4913" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-4913"><label>1</label>Department of Oncology, Suzhou Xiangcheng People&#x0027;s Hospital, Suzhou, Jiangsu, P.R. China</aff>
<aff id="af2-ol-0-0-4913"><label>2</label>Department of Radiation Oncology, Lianyungang First People&#x0027;s Hospital, Lianyungang, Jiangsu, P.R. China</aff>
<aff id="af3-ol-0-0-4913"><label>3</label>The Fourth Clinical Medical College, Nanjing Medical University, Nanjing, Jiangsu, P.R. China</aff>
<aff id="af4-ol-0-0-4913"><label>4</label>Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, P.R. China</aff>
<aff id="af5-ol-0-0-4913"><label>5</label>Department of Radiation Oncology, Xuzhou Central Hospital, Xuzhou, Jiangsu, P.R. China</aff>
<aff id="af6-ol-0-0-4913"><label>6</label>Department of General Surgery, Suzhou Xiangcheng People&#x0027;s Hospital, Suzhou, Jiangsu, P.R. China</aff>
<aff id="af7-ol-0-0-4913"><label>7</label>Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, P.R. China</aff>
<aff id="af8-ol-0-0-4913"><label>8</label>Jiangsu Institute of Clinical Immunology, Soochow University, Suzhou, Jiangsu, P.R. China</aff>
<aff id="af9-ol-0-0-4913"><label>9</label>Institute of Medical Biotechnology, Soochow University, Suzhou, Jiangsu, P.R. China</aff>
<aff id="af10-ol-0-0-4913"><label>10</label>PREMED Key Laboratory for Precision Medicine, Soochow University, Suzhou, Jiangsu, P.R. China</aff>
<aff id="af11-ol-0-0-4913"><label>11</label>Department of Minimally Invasive Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-0-0-4913"><italic>Correspondence to</italic>: Dr Wei Li, Department of Oncology, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu 215006, P.R. China, E-mail: <email>liwei10@suda.edu.cn</email></corresp>
<corresp id="c2-ol-0-0-4913">Dr Zhong-Qi Mao, Department of Minimally Invasive Surgery, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu 215006, P.R. China, E-mail: <email>maozq31@hotmail.com</email></corresp>
<fn id="fn1-ol-0-0-4913"><label>&#x002A;</label><p>Contributed equally</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>10</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>27</day>
<month>07</month>
<year>2016</year></pub-date>
<volume>12</volume>
<issue>4</issue>
<fpage>2501</fpage>
<lpage>2506</lpage>
<history>
<date date-type="received"><day>05</day><month>01</month><year>2016</year></date>
<date date-type="accepted"><day>26</day><month>07</month><year>2016</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Shen et al.</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Gastric cancer is the fourth most frequent cancer and the second cause of cancer-related mortalities worldwide. Platelets play an important and multifaceted role in cancer progression. Elevated mean platelet volume (MPV) detected in peripheral blood has been identified in various types of cancer. In the present study, we investigated the application value of MPV in early diagnostic and prognostic prediction in patients with resectable gastric cancer. In total, 168 patients with resectable gastric cancer were included and separated into the gastric cancer and healthy control groups according to median pre-operatic MPV value (MPV low, &#x003C;10.51 or MPV high, &#x2265;10.51). The results showed that the pre-operatic MPV level was significantly higher in gastric cancer patients compared with the healthy subjects. Low pre-operatic MPV level correlated with improved clinicopathological features, including decreased depth of invasion, less lymphonodus metastasis and early tumor stage. The Kaplan-Meier plots showed that the patients with higher pre-operatic MPV had decreased overall survival (OS) and disease-free survival (DFS). Surgical tumor resection resulted in a significant decrease in the MPV level. The patients whose MPV level decreased following surgery had an improved OS. Multivariate Cox regression analysis revealed that the depth of invasion, lymphonodus metastasis, American Joint Committee on Cancer (AJCC) stage, and changes in MPV following surgery were prognostic factors affecting OS, and the AJCC stage and pre-operatic MPV were prognostic factors affecting DFS. In conclusion, MPV measurement can provide important diagnostic and prognostic results in patients with resectable gastric cancer.</p>
</abstract>
<kwd-group>
<kwd>mean platelet volume</kwd>
<kwd>gastric cancer</kwd>
<kwd>diagnosis</kwd>
<kwd>prognosis</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Gastric cancer is the fourth most common cancer and the second most common cause of cancer-related mortalities (<xref rid="b1-ol-0-0-4913" ref-type="bibr">1</xref>). Delayed diagnosis is the principal cause of increased mortality and morbidity associated with this type of cancer. At the time of diagnosis, only 25&#x0025; of patients are able to undergo surgical resection. The 5-year survival rate is only 10&#x2013;15&#x0025; in individuals with advanced disease (<xref rid="b1-ol-0-0-4913" ref-type="bibr">1</xref>). Therefore, early diagnosis is crucial, especially given that early symptoms (dyspepsia, mild epigastric pain, nausea, and anorexia) are not very specific. Biomarkers including, CEA and CA 19-9, have been tested. However, these biomarkers have a low diagnostic ability to detect gastric cancer (<xref rid="b2-ol-0-0-4913" ref-type="bibr">2</xref>). Therefore, identification of novel biomarkers for the diagnosis and follow-up of gastric cancer is essential.</p>
<p>Platelets play an important and multifaceted role in cancer progression (<xref rid="b3-ol-0-0-4913" ref-type="bibr">3</xref>). Previous findings suggested that platelets accelerate the natural course of cancer by promoting neoangiogenesis, degradation of the extracellular matrix, release of adhesion molecules, and growth factors, thus providing essential components for tumor growth and metastatic spread (<xref rid="b4-ol-0-0-4913" ref-type="bibr">4</xref>). The presence of platelets is increased by proinflammatory cytokines released by cancer cells through the promotion of megakaryocyte proliferation (<xref rid="b5-ol-0-0-4913" ref-type="bibr">5</xref>). Given the relationship between platelet and cancer, platelet-based markers are potential candidates for the diagnosis and follow-up of gastric cancer. Elevated mean platelet volume (MPV) of peripheral blood has been identified in various types of cancer, including hepatocellular carcinoma (<xref rid="b6-ol-0-0-4913" ref-type="bibr">6</xref>), ovarian (<xref rid="b7-ol-0-0-4913" ref-type="bibr">7</xref>), colon (<xref rid="b8-ol-0-0-4913" ref-type="bibr">8</xref>) lung and breast (<xref rid="b9-ol-0-0-4913" ref-type="bibr">9</xref>) cancer. In the present study, we examined whether MPV is suitable as a diagnostic and prognostic marker for the detection of resectable gastric cancer.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Patients</title>
<p>The study was conducted as a retrospective study of patients with gastric cancer who had been referred to the First Affiliated Hospital of Soochow University between January, 2007 and January, 2010. Approval for the study was granted by the Medical Ethics Committees of the First Affiliated Hospital of Soochow University (Jiangsu, China). Patients with hypertension, hematological and renal disease, heart failure, chronic infection, hepatic disorder and other cancer types were excluded from the study. In total, 168 patients with resectable gastric cancer were recruited in this study. Patient characteristics are presented in <xref rid="tI-ol-0-0-4913" ref-type="table">Table I</xref>. The mean age (range) of study patients was 56.5 (31&#x2013;82) years. The staging of cancer was determined according to the tumor-node-metastasis (TNM) classification, using the American Joint Committee on Cancer (AJCC) recommendations (<xref rid="b10-ol-0-0-4913" ref-type="bibr">10</xref>). The patients were followed regularly for 60 months. Thirty age- and gender-matched healthy individuals were also included in the present study.</p>
</sec>
<sec>
<title>Blood analysis</title>
<p>Peripheral venous blood (5&#x2013;7 ml) was collected into sterile EDTA tubes. Blood specimens were obtained in the morning between 06:30 and 07:30 a.m. to minimize the impact of circulating hormones (circadian rhythm) on the number and subtype distribution of white blood cells. Haematological parameters were analyzed within 30 min after blood collection using a haematology analyser Sysmex XE-2100 (Sysmex, Kobe, Japan). MPV was thus obtained and used in subsequent analyses.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analyses were performed using SPSS 19.0 software (SPSS, Inc., Chicago, IL, USA). Measurement data were presented as mean &#x00B1; standard variation. The association between MPV and clinicopathological features were tested using the Chi-square test. For the analysis of survival data, Kaplan-Meier curves were constructed, and statistical analysis was carried out using the log-rank test. The prognostic analyses were performed as disease-free survival (DFS) and overall survival (OS). OS was defined as the time from the diagnosed date to death from any cause. DFS was defined as the time from the primary operation to the relapse of tumor. The multivariate Cox regression was performed for each outcome parameter, using a backwards elimination technique to derive a potentially suitable set of predictors. P&#x003C;0.05 was considered to indicate statistically significant results.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Pre-operative MPV is higher in patients with gastric cancer patients compared with healthy controls</title>
<p>The mean pre-operative MPV in the study patients was 10.82&#x00B1;1.06, which was significantly higher than that in the healthy individuals (8.37&#x00B1;0.78, p&#x003C;0.001; <xref rid="f1-ol-0-0-4913" ref-type="fig">Fig. 1</xref>). This result indicated that MPV is useful in the early diagnosis of gastric cancer.</p>
</sec>
<sec>
<title>Low pre-operative MPV level predicts better outcomes</title>
<p>As shown in <xref rid="tI-ol-0-0-4913" ref-type="table">Table I</xref>, pre-operative MPV levels inversely correlated with clinicopathological parameters, including depth of invasion, lymphonodus metastasis and the AJCC stage.</p>
<p>Median OS for all the patients was 57 months, whereas the median was DFS 27 months (<xref rid="f2-ol-0-0-4913" ref-type="fig">Fig. 2A</xref>).</p>
<p>The patients were separated into two groups according to median pre-operative MPV: low (&#x003C;10.51) and high (&#x2265;10.51) MPV. The Kaplan-Meier plots showed the association between pre-operative MPV and OS and PFS (<xref rid="f2-ol-0-0-4913" ref-type="fig">Fig. 2B and C</xref>). The OS and PFS rates of high pre-operative MPV were 29.8 and 11.9&#x0025;, respectively, and were significantly different from corresponding rates in the low pre-operative MPV group (46.7 and 24.3&#x0025;, respectively, both p&#x003C;0.01). This result demonstrated that patients with higher pre-operative MPV had decreased survival rates.</p>
</sec>
<sec>
<title>MPV changes before and after surgery predict improved outcomes</title>
<p>MPV increased significantly 3&#x2013;4 days following surgery and returned to pre-operation levels one week after the surgery (<xref rid="f3-ol-0-0-4913" ref-type="fig">Fig. 3A</xref>). Furthermore, surgical tumor resection led to a significant decrease in the average MPV one month after surgery (<xref rid="f3-ol-0-0-4913" ref-type="fig">Fig. 3A</xref>).</p>
<p>When individual MPV changes were evaluated, it was observed that a decrease was present in 99 patients and absent in the remaining 69 patients. The Kaplan-Meier plots indicating an association between MPV values and OS are shown in <xref rid="f3-ol-0-0-4913" ref-type="fig">Fig. 3B</xref>. It was evident that OS was improved in patients whose MPV decreased after surgery, compared with those without any change (40.5 vs. 28.9&#x0025;, p&#x003C;0.0037; <xref rid="f3-ol-0-0-4913" ref-type="fig">Fig. 3B</xref>).</p>
</sec>
<sec>
<title>Univariate and multivariate analysis of risk factors for OS and DFS</title>
<p>Univariate and multivariate analyses were performed to identify the risk factors associated with OS and DFS. As shown in <xref rid="tII-ol-0-0-4913" ref-type="table">Table II</xref>, univariate analysis revealed that 5 of 10 risk factors affected OS and DFS. These factors included depth of invasion, lymphonodus metastasis, AJCC stage, pre-operatic MPV, and changes in MPV after surgery. Multivariate analysis further confirmed that depth of invasion, lymphonodus metastasis, AJCC stage, and changes in MPV following surgery were the factors associated with OS. Furthermore, AJCC stage and pre-operative MPV were the prognostic factors for DFS.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The involvement of platelets and coagulation factors in hematogenous tumor metastasis are well known. Elevated thrombocytosis and platelet counts are associated with advanced, often metastatic, stages of cancer and to be negative prognostic markers for various types of cancer, including endometrial carcinoma, cervical, ovarian, gastric, and esophageal cancer (<xref rid="b11-ol-0-0-4913" ref-type="bibr">11</xref>).</p>
<p>Platelets participate in multiple steps of hematogenous metastasis. Covered with platelets, circulating cancer cells can transport more easily in the bloodstream and overcome countering effects of immune cells and physical factors such as shear force and mechanical trauma due to passage through microvasculature (<xref rid="b12-ol-0-0-4913" ref-type="bibr">12</xref>,<xref rid="b13-ol-0-0-4913" ref-type="bibr">13</xref>). Platelets can also promote tumor growth by increasing angiogenesis via the cytokine vascular endothelial growth factor (VEGF). The platelet content of VEGF is significantly elevated in cancer patients, and there is a direct correlation between the number of circulating platelets and the level of serum VEGF (<xref rid="b3-ol-0-0-4913" ref-type="bibr">3</xref>).</p>
<p>The cancer-promoting effects of platelets are amplified by stimulation of activation and aggregation of platelets caused by proinflammatory cytokines released by cancer cells (<xref rid="b4-ol-0-0-4913" ref-type="bibr">4</xref>). This involves proliferation and differentiation of early progenitor cells such as megakaryocyte progenitors. In addition, malignant cells possess the ability of aggregating platelets through a process known as tumor cell-induced platelet aggregation (TCIPA) (<xref rid="b12-ol-0-0-4913" ref-type="bibr">12</xref>). Therefore, the close involvement of the platelet with metastasizing cancer makes this cell type a promising candidate for early cancer diagnosis and treatment (<xref rid="b11-ol-0-0-4913" ref-type="bibr">11</xref>).</p>
<p>Large platelets are more reactive than their smaller counterparts, and are more likely to aggregate, leading to thrombosis. Large platelets are an independent risk factor for myocardial infarction, as platelet size is a predictor of recurrent myocardial infarction and death (<xref rid="b14-ol-0-0-4913" ref-type="bibr">14</xref>). The MPV tested in our study can be easily evaluated by hematological analyzers, which makes it a convenient marker of platelet functions and activation (<xref rid="b3-ol-0-0-4913" ref-type="bibr">3</xref>). Elevated MPV may indicate a tendency towards thrombosis, as it has been demonstrated for myocardial infarction and cerebrovascular embolus (<xref rid="b15-ol-0-0-4913" ref-type="bibr">15</xref>). Previous studies suggested that MPV is a potential biomarker for the diagnosis and follow-up of types of cancer (<xref rid="b6-ol-0-0-4913" ref-type="bibr">6</xref>&#x2013;<xref rid="b9-ol-0-0-4913" ref-type="bibr">9</xref>).</p>
<p>Elevated MPV values may be a consequence of systemic inflammatory response (<xref rid="b16-ol-0-0-4913" ref-type="bibr">16</xref>), which is believed to play a critical role in the development and progression of different cancers by promoting cancer cell proliferation and survival, angiogenesis, cancer metastasis and modulating cancer cell response to therapies (<xref rid="b3-ol-0-0-4913" ref-type="bibr">3</xref>). Numerous types of cancer release proinflammatory cytokines, such as interleukin (IL)-1, IL-3, and IL-6, which promote the proliferation of megakaryocytes, resulting in platelet activation and aggregation (<xref rid="b4-ol-0-0-4913" ref-type="bibr">4</xref>). In ovarian cancer, elevated levels of IL-6 in ascites and cyst fluids have been associated with thrombocytosis. Furthermore, administration of recombinant IL-6 has been associated with increased platelet count (<xref rid="b5-ol-0-0-4913" ref-type="bibr">5</xref>). Elevated IL-6 is significantly higher in individuals with gastric cancer, as well as in patients with prostate cancer (<xref rid="b17-ol-0-0-4913" ref-type="bibr">17</xref>,<xref rid="b18-ol-0-0-4913" ref-type="bibr">18</xref>).</p>
<p>The close interplay between inflammation, coagulation, and cancer progression ignited intensive studies in this field (<xref rid="b4-ol-0-0-4913" ref-type="bibr">4</xref>). For example, long-term use of non-steroid anti-inflammatory drugs such as aspirin is associated with a reduced risk of esophageal cancer (<xref rid="b1-ol-0-0-4913" ref-type="bibr">1</xref>). Clinical and epidemiological studies demonstrated an association between chronic inflammation and gastric cancer (<xref rid="b19-ol-0-0-4913" ref-type="bibr">19</xref>&#x2013;<xref rid="b21-ol-0-0-4913" ref-type="bibr">21</xref>). Based on these considerations, we postulated that elevated MPV values in patients with gastric cancer may be a consequence of systemic inflammatory response. Correspondingly, a decrease of MPV values after surgery may be due to a decreased systemic inflammatory response. Therefore, patients whose MPV values did not decrease after surgical resection of the cancer may continue to harbor untamed systemic inflammatory response, leading to an unfavourable prognosis.</p>
<p>In conclusion, the present study indicates an association of the pre-operative MPV level and changes between pre- and post-operative levels with the diagnosis and prognosis of gastric cancer. Although MPV is also a non-specific marker, this non-invasive, convenient and inexpensive biomarker may be a complement to the present biomarkers, and a benefit to the early detection and prognosis evaluation of gastric cancer.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The present study was supported by the National Natural Science Foundation of China (grant nos. 81472296, 81101867, 81272542, 81200369 and 81372443), the China International Medical Foundation (grant no. CIMF-F-H001-057), the Special Foundation of Clinical Medicine of Jiangsu Provincial Bureau of Science and Technology (grant no. BL2014039), the Scientific Research Project of Jiangsu Provincial Bureau of Traditional Chinese Medicine (grant no. L213236), the Medical Scientific Research Project of Jiangsu Provincial Bureau of Health (grant no. Z201206), the Special Foundation of Wu Jieping Medical Foundation for Clinical Scientific Research (grant nos. 320.6753.1225 and 320.6750.12242), the Science and Education for Health Foundation of Suzhou for Youth (grant nos. SWKQ1003 and SWKQ1011), the Science and Technology Project Foundation of Suzhou (grant nos. SYS201112, SYSD2012137 and SYS201335), the Science and Technology Foundation of Suzhou Xiangcheng (grant nos. SZXC2012-70 and XJ201451), and a Project Founded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.</p>
</ack>
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<floats-group>
<fig id="f1-ol-0-0-4913" position="float">
<label>Figure 1.</label>
<caption><p>Comparison of pre-operative MPV values between healthy controls and patients with gastric cancer. Measurement data are expressed by mean &#x00B1; standard. &#x002A;P&#x003C;0.001 vs. healthy controls. MPV, mean platelet volume.</p></caption>
<graphic xlink:href="ol-12-04-2501-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-4913" position="float">
<label>Figure 2.</label>
<caption><p>Association between pre-operative MPV, and OS and DFS. (A) Predicted probability of OS and DFS. (B) OS stratified based on low or high pre-operative MPV. (C) DFS stratified based on low or high pre-operative MPV. MPV, mean platelet volume; OS, overall survival; DFS, disease-free survival.</p></caption>
<graphic xlink:href="ol-12-04-2501-g01.tif"/>
</fig>
<fig id="f3-ol-0-0-4913" position="float">
<label>Figure 3.</label>
<caption><p>Association between changes in MPV values and overall survival. (A) Pre-operative vs. post-operative MPV values. Measurement data are presented as mean &#x00B1; standard. &#x002A;P&#x003C;0.001 vs. pre-operation. (B) OS stratified based on post-operative decrease in MPV values. MPV, mean platelet volume; OS, overall survival; DFS, disease-free survival.</p></caption>
<graphic xlink:href="ol-12-04-2501-g02.tif"/>
</fig>
<table-wrap id="tI-ol-0-0-4913" position="float">
<label>Table I.</label>
<caption><p>Relationship between pre-operative MPV and demographic and clinical parameters.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Parameters</th>
<th align="center" valign="bottom">No. of patients</th>
<th align="center" valign="bottom">Low MPV (&#x003C;10.51), no. of patients</th>
<th align="center" valign="bottom">High MPV (&#x2265;10.51), no. of patients</th>
<th align="center" valign="bottom">&#x03C7;<sup>2</sup></th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td colspan="5"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">1.7825</td>
<td align="center" valign="top">0.1818</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">&#x00A0;&#x00A0;52</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">30</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td colspan="5"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;65</td>
<td align="center" valign="top">96</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">0.8750</td>
<td align="center" valign="top">0.3496</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;65</td>
<td align="center" valign="top">&#x00A0;&#x00A0;72</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">33</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumor size (cm)</td>
<td colspan="5"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;5</td>
<td align="center" valign="top">108</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">0.9333</td>
<td align="center" valign="top">0.3340</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;60</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">27</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lauren type</td>
<td colspan="5"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Intestinal</td>
<td align="center" valign="top">&#x00A0;&#x00A0;97</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">0.2195</td>
<td align="center" valign="top">0.6394</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Diffuse</td>
<td align="center" valign="top">&#x00A0;&#x00A0;71</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">37</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Depth of invasion</td>
<td colspan="5"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T1, T2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;66</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">32.3422</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn1-ol-0-0-4913" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T3, T4</td>
<td align="center" valign="top">102</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">33</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node metastases</td>
<td colspan="5"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N0, N1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;54</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">24.5614</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn1-ol-0-0-4913" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N2, N3</td>
<td align="center" valign="top">114</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">42</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Degree of differentiation</td>
<td colspan="5"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Highly differentiated</td>
<td align="center" valign="top">&#x00A0;&#x00A0;50</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">0.4556</td>
<td align="center" valign="top">0.4997</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Moderately or poorly differentiated</td>
<td align="center" valign="top">118</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">57</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">AJCC stage</td>
<td colspan="5"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I, II</td>
<td align="center" valign="top">&#x00A0;&#x00A0;57</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">28.9161</td>
<td align="center" valign="top">&#x003C;0.001<sup><xref rid="tfn1-ol-0-0-4913" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III, IV</td>
<td align="center" valign="top">111</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">39</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-4913"><label>a</label><p>P&#x003C;0.05, statistically significant. MPV, mean platelet volume; AJCC, American Joint Committee on Cancer.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-0-0-4913" position="float">
<label>Table II.</label>
<caption><p>Univariate and multivariate analysis of risk factors for OS and DFS.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="4">OS</th>
<th align="center" valign="bottom" colspan="4">DFS</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">Univariate analysis</th>
<th align="center" valign="bottom" colspan="2">Multivariate analysis</th>
<th align="center" valign="bottom" colspan="2">Univariate analysis</th>
<th align="center" valign="bottom" colspan="2">Multivariate analysis</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Risk factors</th>
<th align="center" valign="bottom">OR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">OR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">OR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">OR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male or female</td>
<td align="center" valign="top">0.75 (0.46&#x2013;1.72)</td>
<td align="center" valign="top">0.806</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.81 (0.44&#x2013;1.60)</td>
<td align="center" valign="top">0.835</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;65 or &#x2265;65</td>
<td align="center" valign="top">1.16 (0.69&#x2013;1.82)</td>
<td align="center" valign="top">0.629</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1.22 (0.68&#x2013;2.03)</td>
<td align="center" valign="top">0.825</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Tumor size (cm)</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;5 or &#x2265;5</td>
<td align="center" valign="top">1.37 (0.68&#x2013;2.73)</td>
<td align="center" valign="top">0.227</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1.27 (0.65&#x2013;2.42)</td>
<td align="center" valign="top">0.237</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Lauren type</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Intestinal or diffuse</td>
<td align="center" valign="top">1.29 (0.73&#x2013;2.25)</td>
<td align="center" valign="top">0.605</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1.89 (1.33&#x2013;2.40)</td>
<td align="center" valign="top">0.454</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Depth of invasion</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T1, T2 or T3, T4</td>
<td align="center" valign="top">2.61 (1.53&#x2013;3.02)</td>
<td align="center" valign="top">0.036</td>
<td align="center" valign="top">2.53 (1.64&#x2013;3.05)</td>
<td align="center" valign="top">0.028</td>
<td align="center" valign="top">2.60 (1.42&#x2013;3.31)</td>
<td align="center" valign="top">0.040</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Degree of differentiation</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Highly or moderately/poorly differentiated</td>
<td align="center" valign="top">1.46 (0.72&#x2013;1.85)</td>
<td align="center" valign="top">0.722</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1.38 (0.74&#x2013;1.91)</td>
<td align="center" valign="top">0.757</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node metastases</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N0, N1 or N2, N3</td>
<td align="center" valign="top">3.54 (2.47&#x2013;6.80)</td>
<td align="center" valign="top">0.022</td>
<td align="center" valign="top">3.64 (2.49&#x2013;6.85)</td>
<td align="center" valign="top">0.021</td>
<td align="center" valign="top">2.92 (1.86&#x2013;4.53)</td>
<td align="center" valign="top">0.037</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">AJCC stage</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I, II or III, IV</td>
<td align="center" valign="top">4.82 (3.15&#x2013;7.89)</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">4.32 (2.70&#x2013;6.83)</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">4.39 (2.98&#x2013;6.97)</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">4.25 (2.80&#x2013;6.51)</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">MPV</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low (&#x003C;10.51) or High (&#x2265;10.51)</td>
<td align="center" valign="top">2.56 (1.42&#x2013;3.37)</td>
<td align="center" valign="top">0.004</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">2.78 (1.67&#x2013;3.78)</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">2.41 (1.36&#x2013;3.52)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Changes in MPV after operation</td>
<td colspan="8"/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Decreased or not decreased</td>
<td align="center" valign="top">3.52 (2.27&#x2013;6.04)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">3.57 (2.49&#x2013;5.92)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">3.55 (2.16&#x2013;5.83)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-0-0-4913"><p>OS, overall survival; DFS, disease-free survival; OR, odds ratio; CI, confidence interval; AJCC, American Joint Committee on Cancer; MPV, mean platelet volume.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
