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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Molecular Medicine Reports</journal-id>
<journal-title-group>
<journal-title>Molecular Medicine Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1791-2997</issn>
<issn pub-type="epub">1791-3004</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mmr.2014.2293</article-id>
<article-id pub-id-type="publisher-id">mmr-10-02-1013</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Expression of growth-regulated oncogene-1, hepatocyte growth factor, platelet-derived growth factor-AA and soluble E-selectin and their association with high-risk human papillomavirus infection in squamous cell carcinoma of the uterine cervix</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>ZHANG</surname><given-names>YE</given-names></name><xref rid="af1-mmr-10-02-1013" ref-type="aff">1</xref><xref rid="af2-mmr-10-02-1013" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>WU</surname><given-names>JIAN-ZHONG</given-names></name><xref rid="af2-mmr-10-02-1013" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>YANG</surname><given-names>YONG-QIN</given-names></name><xref rid="af3-mmr-10-02-1013" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>MA</surname><given-names>RONG</given-names></name><xref rid="af2-mmr-10-02-1013" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHANG</surname><given-names>JUN-YING</given-names></name><xref rid="af4-mmr-10-02-1013" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>FENG</surname><given-names>JI-FENG</given-names></name><xref rid="af1-mmr-10-02-1013" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-mmr-10-02-1013"/></contrib></contrib-group>
<aff id="af1-mmr-10-02-1013">
<label>1</label>Department of Chemotherapy, The Affiliated Jiangsu Cancer Hospital, Nanjing Medical University, Nanjing, Jiangsu 210009, P.R. China</aff>
<aff id="af2-mmr-10-02-1013">
<label>2</label>Research Center of Clinical Oncology, The Affiliated Jiangsu Cancer Hospital, Nanjing Medical University, Nanjing, Jiangsu 210009, P.R. China</aff>
<aff id="af3-mmr-10-02-1013">
<label>3</label>Department of Radiotherapy, The Affiliated Jiangsu Cancer Hospital, Nanjing Medical University, Nanjing, Jiangsu 210009, P.R. China</aff>
<aff id="af4-mmr-10-02-1013">
<label>4</label>Department of Oncology, Xuzhou Medical College, Xuzhou, Jiangsu 221000, P.R. China</aff>
<author-notes>
<corresp id="c1-mmr-10-02-1013">Correspondence to: Dr Ji-Feng Feng, Department of Chemotherapy, The Affiliated Jiangsu Cancer Hospital, Nanjing Medical University, 42 Baizi Ting Road, Xuanwu, Nanjing, Jiangsu 210009, P.R. China, E-mail: <email>zhangye881221@163.com</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>8</month>
<year>2014</year></pub-date>
<pub-date pub-type="epub">
<day>02</day>
<month>06</month>
<year>2014</year></pub-date>
<volume>10</volume>
<issue>2</issue>
<fpage>1013</fpage>
<lpage>1024</lpage>
<history>
<date date-type="received">
<day>18</day>
<month>11</month>
<year>2013</year></date>
<date date-type="accepted">
<day>15</day>
<month>05</month>
<year>2014</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2014, Spandidos Publications</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>The aim of the present study was to evaluate the clinical significance and prognostic value of growth-regulated oncogene-1 (GRO-1), hepatocyte growth factor (HGF), platelet-derived growth factor-AA (PDGF-AA), soluble E-selectin (sE-selectin) and high-risk human papillomavirus (HPV; types 16, 18/45, 31 and 33/52/58/67) infection in cervical squamous cell carcinoma (CSCC). A total of 426 cases were enrolled in the present study, of which 292 cases were patients with CSCC, 43 were patients with cervical intraepithelial neoplasia (CIN) and 91 were healthy controls. Luminex xMAP technology was used to detect the serum levels of GRO-1, HGF, PDGF-AA and sE-selectin in all cases and two-channel fluorescence quantitative polymerase chain reaction was used to determine HPV DNA in cervical scrapings from CSCC and CIN patients. The results demonstrated that the serum levels of GRO-1, HGF and sE-selectin were significantly higher in patients with CSCC compared with patients with CIN and the healthy controls (P&lt;0.0001). Compared with the CIN patients, the HPV positive rate in the CSCC patients significantly increased (P=0.013). The four factors were correlated with certain clinicopathological variables of CSCC patients to a certain degree (P&lt;0.05) and the levels of HGF were closely associated with HPV infection (P=0.039). The receiver operating characteristic curves demonstrated that HGF obtained the highest diagnostic value compared with the other three factors. Multivariate Cox regression analysis demonstrated that the serum levels of HGF (P&lt;0.0001), FIGO stage (P&lt;0.0001) and pelvic lymph node metastasis (P=0.001) were independent prognostic factors in patients with CSCC, while high-risk HPV infection did not show any significance in this analysis. These results demonstrated that HGF may be a useful prognostic biomarker rather than high-risk HPV types in patients with CSCC.</p></abstract>
<kwd-group>
<kwd>cervical squamous cell carcinoma</kwd>
<kwd>growth-regulated oncogene-1</kwd>
<kwd>hepatocyte growth factor</kwd>
<kwd>platelet-derived growth factor-AA</kwd>
<kwd>soluble E-selectin</kwd>
<kwd>Luminex</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>In recent years, cervical cancer has become the third most common female cancer and in 2008 there were ~529,000 new cases worldwide (<xref rid="b1-mmr-10-02-1013" ref-type="bibr">1</xref>). Cervical squamous cell carcinoma (CSCC) is the most common pathological type of cervical cancer followed by cervical adenocarcinoma and adenosquamous carcinoma (<xref rid="b2-mmr-10-02-1013" ref-type="bibr">2</xref>). The association between human papillomavirus (HPV) infection and the occurrence of cervical cancer has been verified by numerous studies (<xref rid="b3-mmr-10-02-1013" ref-type="bibr">3</xref>,<xref rid="b4-mmr-10-02-1013" ref-type="bibr">4</xref>). HPV types 16, 18, 58, 33, 52, 45, 31 and 35 are the most common types in cervical cancer patients from Asia (<xref rid="b5-mmr-10-02-1013" ref-type="bibr">5</xref>). However, the prognostic value of HPV in cervical cancer remains controversial. Certain studies have demonstrated an association between HPV 18-related cervical cancer and a poor prognosis (<xref rid="b6-mmr-10-02-1013" ref-type="bibr">6</xref>,<xref rid="b7-mmr-10-02-1013" ref-type="bibr">7</xref>). However, in previous studies, HPV-positive cervical cancer patients demonstrated a more favorable prognosis than HPV-negative patients (<xref rid="b8-mmr-10-02-1013" ref-type="bibr">8</xref>,<xref rid="b9-mmr-10-02-1013" ref-type="bibr">9</xref>). Whereas certain authors were unable to find any significance between HPV types and their prognosis (<xref rid="b10-mmr-10-02-1013" ref-type="bibr">10</xref>). Thus, the aim of the present study was to identify potent molecular markers associated with the prognosis of CSCC.</p>
<p>Growth-regulated oncogene-1 (GRO-1) is a member of the CXC chemokine family which contains an ELR motif (Glu-Leu-Arg) at the NH2 terminal and is important in angiogenesis (<xref rid="b11-mmr-10-02-1013" ref-type="bibr">11</xref>). Overexpression of the GRO gene was initially identified in transformed Chinese hamster cells (<xref rid="b12-mmr-10-02-1013" ref-type="bibr">12</xref>). An elevated expression of GRO-1 was detected in numerous malignancies (<xref rid="b13-mmr-10-02-1013" ref-type="bibr">13</xref>,<xref rid="b14-mmr-10-02-1013" ref-type="bibr">14</xref>). Hepatocyte growth factor (HGF) was first identified as a type of mitogen extracted from hepatectomized rats in 1984 (<xref rid="b15-mmr-10-02-1013" ref-type="bibr">15</xref>). The HGF/c-Met signaling pathway composed of HGF and its functional receptor c-Met promotes tumorigenesis, progression and tumor cell invasion (<xref rid="b16-mmr-10-02-1013" ref-type="bibr">16</xref>). Platelet-derived growth factor-AA (PDGF-AA) is a member of the PDGF family which can promote the production of angiogenic factors, resulting in tumor angiogenesis (<xref rid="b17-mmr-10-02-1013" ref-type="bibr">17</xref>). E-selectin is a member of the selectin family which is a family of cellular adhesion molecules contributing to cell-cell adhesion and is associated with tumor progression and metastasis. Soluble E-selectin (sE-selectin) can be used as a biomarker in the serum to detect and monitor the occurrence and development of cancer (<xref rid="b18-mmr-10-02-1013" ref-type="bibr">18</xref>).</p>
<p>The roles of serum levels of GRO-1, HGF, PDGF-AA and sE-selectin as biomarkers have not yet been elucidated compared with the important roles of high-risk HPV in CSCC. Studies on these four factors in cervical cancer are rare. The aim of the present study was to analyze the clinical significance and prognostic value of these four factors and high-risk HPV infection in CSCC.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Patients</title>
<p>A total of 292 females with CSCC, 43 females with cervical intraepithelial neoplasia (CIN) and 91 healthy age-matched females were recruited for physical examination from the Jiangsu Cancer Hospital (Nanjing, China) between February 2010 and March 2013. In total, 292 cases with CSCC were histopathologically confirmed as CSCC for the first time and did not undergo any treatment prior to collecting the specimens. All the CSCC patients were staged on the basis of the latest International Federation of Gynecology and Obstetrics (FIGO) staging. The characteristics of all the cases are shown in <xref rid="tI-mmr-10-02-1013" ref-type="table">Table I</xref>.</p></sec>
<sec>
<title>Collection of the specimens</title>
<p>Fasting blood (3 ml) specimens were obtained from 335 patients and 91 healthy females. The blood specimens were immediately transferred into the test tubes and then centrifuged at 1,000 &#x000D7; g for 10 min and the serum was extracted. The serum samples were stored at &#x02212;80&#x000B0;C until detection.</p>
<p>A routine gynecological examination was performed on 292 females with CSCC and 43 females with CIN. The cervical secretions were washed using sterile physiological cotton balls and then cervical scrapings were collected from the squamous cell junction of the cervical canal using cotton swabs. Subsequently, they were placed in sterile glass tubes and stored at &#x02212;20&#x000B0;C until use.</p>
<p>The present study was approved by the Ethics Committee of Jiangsu Cancer Hospital and written informed consent was obtained from all the participants in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.</p></sec>
<sec>
<title>Luminex xMAP technology</title>
<p>Serum levels of GRO-1, HGF, PDGF-AA and sE-selectin were quantified using Luminex xMAP technology. The Human Cytokine/Chemokine kit (cat no. MPXHCYTO60KPMX42) was used for the detection of GRO-1 and PDGF-AA, and Human Circulating Cancer Biomarker Magnetic Bead Panel 1 (cat no. HCCBP1MAG-58K) was used for the detection of HGF. Levels of sE-selectin were determined with Human Cardiovascular Disease (CVD) Panel 1 (cat no. HCVD1-67AK). All the kits were supplied by Millipore (Billerica, MA, USA) while the FLEXMAP 3D&#x02122; system was purchased from Luminex Corporation (Austin, TX, USA).</p>
<p>The main experimental steps were as follows (in strict accordance with the manufacturer&#x02019;s instructions): Firstly, standard and quality controls were prepared in accordance with the manufacturer&#x02019;s instructions, then 25 &#x003BC;l serum and 25 &#x003BC;l beads (Millipore) were added to the plate, following being incubated for agitation overnight at 4&#x000B0;C. Subsequently, 25 &#x003BC;l of rabbit anti-rat monoclonal antibodies were added into each well followed by incubation for 1 h at 20&#x02013;25&#x000B0;C. Streptavidin-phycoerythrin (25 &#x003BC;l) was added to the well and the plate followed by incubation for 30 min at 20&#x02013;25&#x000B0;C. Following being washed twice, 100 &#x003BC;l of sheath fluid (Millipore) was added to every well. Finally, the median fluorescence intensity data was analyzed on the Luminex analyzer (FLEXMAP 3D&#x02122; system; Luminex Corporation) and the final concentrations of the four factors were calculated using the weighted 5-parameter logistic method.</p></sec>
<sec>
<title>DNA extraction and quantitative polymerase chain reaction (qPCR)</title>
<p>The steps for DNA extraction of cervical scrapings were as follows: Firstly, the cervical scrapings were mixed with 1.5 ml sterile saline in a glass tube, then all the liquid was transferred into a 1.5 ml microcentrifuge tube to be centrifuged at 12,000 &#x000D7; g for 10 min. The supernatant was removed and the precipitate was digested using proteinase K (Omega Bio-Tek Inc., Norcross, GA, USA). Finally, DNA was extracted using chloroform. A Real quality RQ-HPV HR kit (AB ANALITICA, Padova, Italy) was used to identify and quantify the HPV DNA type (16, 18/45, 31 and 33/52/58/67) on the ABI 7300 Real-Time PCR system (Applied Biosystems, Foster City, CA, USA) and &#x003B2;-globin served as the internal control. qPCR was conducted in a 20 &#x003BC;l volume containing 10 &#x003BC;l AB Real Time mix (AB ANALITICA), 0.4 &#x003BC;l primer mix, 0.8 &#x003BC;l probe mix, 6.8 &#x003BC;l H<sub>2</sub>O and 2 &#x003BC;l DNA. The PCR program comprised 40 cycles of 2 min at 50&#x000B0;C, 3 min at 95&#x000B0;C, 15 sec at 94&#x000B0;C and 40 sec at 57&#x000B0;C. When the quantitative value of HPV was &#x02265;100 gene copies, the result was positive for this type of HPV, otherwise the result was negative. All the experiments were repeated three times.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>The concentrations of GRO-1, HGF, PDGF-AA and sE-selectin were not normally distributed, thus the Mann-Whitney U test and Kruskal-Wallis test were used in the present study, while the &#x003C7;<sup>2</sup> test was used to compare the positive rate of HPV between the groups. The correlations between the biomarkers were analyzed using Spearman&#x02019;s rank correlation coefficient. The areas under the receiver operating characteristic curves (AUROC) were used to evaluate the diagnostic accuracy. Youden&#x02019;s index &#x0005B;Youden&#x02019;s index = sensitivity + specificity) &#x02212;1&#x0005D; is an indicator of authenticity of diagnostic tests and the optimal cut-off values were calculated when the Youden index was maximum. Overall survival time (OS) was calculated from the day of diagnosis to mortality due to cervical cancer or the latest follow-up, while progression-free survival (PFS) was calculated from the day of diagnosis to the initial disease progression or mortality from cervical cancer or the latest follow-up. The Kaplan-Meier survival curves and the log-rank test were used to compare the differences between groups. Multivariate Cox regression analysis was used to screen out the independent prognostic variables. The median (25&#x02013;75 percentiles) was used to describe the measurement data and P&lt;0.05 was considered to indicate a statistically significant difference. All the above statistical analyses was performed using SPSS version 21.0 (IBM, Armonk, NY, USA).</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Concentrations of GRO-1, HGF, PDGF-AA and sE-selectin in CSCC patients, CIN patients and the healthy controls</title>
<p>The serum levels of GRO-1, HGF and sE-selectin in patients with CSCC significantly increased compared with the CIN patients and the healthy controls &#x0005B;GRO-1: 748.43 (501.49&#x02013;1088.23 pg/ml) vs. 620.07 (386.60&#x02013;846.58 pg/ml) and 564.91 (376.34&#x02013;899.03 pg/ml), P&lt;0.0001; HGF: 724.35 (501.68&#x02013;1049.35 pg/ml) vs. 555.68 (409.21&#x02013;711.13 pg/ml) and 476.27 (356.36&#x02013;834.40 pg/ml), P&lt;0.0001; sE-selectin: 22176.68 (13767.43&#x02013;34829.97 pg/ml) vs. 17214.00 (10854.60&#x02013;25306.98 pg/ml) and 18276.34 (9028.38&#x02013;26154.20 pg/ml), P&lt;0.0001&#x0005D; and no significant difference was identified between the CIN patients and the healthy controls (P&gt;0.05). No statistical difference was identified in the serum levels of PDGF-AA among the three groups &#x0005B;13311.48 (8952.06&#x02013;19040.87 pg/ml) vs. 12220.30 (7623.88&#x02013;18438.83 pg/ml) and 11224.32 (8756.27&#x02013;17643.22 pg/ml), P=0.21&#x0005D; (<xref rid="f1-mmr-10-02-1013" ref-type="fig">Fig. 1</xref>).</p></sec>
<sec>
<title>Positive rate of HPV types between the CSCC patients and the CIN patients</title>
<p>HPV infection was identified in 205 out of 292 (70.21&#x00025;) of the CSCC patients as well as 22 out of 43 (51.16&#x00025;) of the CIN patients. A significant difference was found between the two groups (&#x003C7;<sup>2</sup>=6.22, P=0.013). <xref rid="tII-mmr-10-02-1013" ref-type="table">Table II</xref> shows the distribution of the HPV types in the HPV-positive patients. It was revealed that HPV 16 was the most common genotype in the CSCC patients (50.24&#x00025;) and the CIN patients (45.45&#x00025;) infected with HPV 16 only. In addition, HPV 16 was the most common genotype in the CSCC patients (66.34&#x00025;) and the CIN patients (59.09&#x00025;) in the overall prevalence (<xref rid="tII-mmr-10-02-1013" ref-type="table">Table II</xref>).</p></sec>
<sec>
<title>Association between HPV infection and clinicopathological characteristics in CSCC patients</title>
<p>As demonstrated in <xref rid="tIII-mmr-10-02-1013" ref-type="table">Table III</xref>, HPV infection was not associated with age, FIGO stage, metastasis, grading, pelvic lymph node metastasis or tumor size of the CSCC patients (P&gt;0.05).</p></sec>
<sec>
<title>Association between serum levels of GRO-1, HGF, PDGF-AA and sE-selectin with clinicopathological variables and HPV infection in CSCC patients</title>
<p>The serum levels of GRO-1 were closely associated with FIGO stage (P=0.001), metastasis (P&lt;0.0001), pathological grading (P&lt;0.0001) and pelvic lymph node metastasis (P=0.003). The serum levels of HGF were significantly correlated with FIGO stage (P=0.02), pathological grading (P&lt;0.0001), pelvic lymph node metastasis (P&lt;0.0001), tumor size (P&lt;0.0001) and HPV infection (P=0.039). The concentrations of PDGF-AA in the serum were associated with FIGO stage (P=0.004), pathological grading (P=0.021) and pelvic lymph node metastasis (P&lt;0.0001), and the concentrations of sE-selectin were correlated with age (P&lt;0.0001), FIGO stage (P&lt;0.0001) and tumor size (P=0.001) (<xref rid="tIV-mmr-10-02-1013" ref-type="table">Table IV</xref>).</p></sec>
<sec>
<title>Correlations between GRO-1, HGF, PDGF-AA and sE-selectin in patients with CSCC</title>
<p><xref rid="f2-mmr-10-02-1013" ref-type="fig">Fig. 2</xref> shows that there were several positive correlations of the serum levels of HGF with the other three factors: Serum levels of HGF correlated with GRO-1 (R=0.194, P=0.001), PDGF-AA (R=0.202, P=0.0005) and sE-selectin (R=0.214, P=0.0002). The concentration of PDGF-AA was correlated with GRO-1 (R=0.361, P&lt;0.0001), while no association of sE-selectin with GRO-1 (R=0.001, P=0.991) and PDGF-AA (R=&#x02212;0.002, P=0.971) was identified.</p></sec>
<sec>
<title>Diagnostic value of serum levels of GRO-1, HGF, PDGF-AA and sE-selectin in the CSCC patients</title>
<p>AUROC of GRO-1, HGF, PDGF-AA and sE-selectin for discriminating the CSCC patients from the CIN patients were 0.615 (95&#x00025; CI: 0.525&#x02013;0.705), 0.662 (95&#x00025; CI: 0.583&#x02013;0.741), 0.537 (95&#x00025; CI: 0.442&#x02013;0.631) and 0.634 (95&#x00025; CI: 0.551&#x02013;0.718), respectively, while the AUROC of HGF for discriminating the CSCC patients from the healthy controls was 0.655 (95&#x00025; CI: 0.586&#x02013;0.723) compared with 0.633 (95&#x00025; CI: 0.566&#x02013;0.700) for GRO-1, 0.559 (95&#x00025; CI: 0.497&#x02013;0.622) for PDGF-AA and 0.618 (95&#x00025; CI: 0.552&#x02013;0.684) for sE-selectin. In addition, the AUROC of GRO-1, HGF, PDGF-AA and sE-selectin for discriminating the CSCC patients from the CIN patients and the healthy controls were 0.627 (95&#x00025; CI: 0.570&#x02013;0.684), 0.657 (95&#x00025; CI: 0.600&#x02013;0.714), 0.552 (95&#x00025; CI: 0.495&#x02013;0.609) and 0.624 (95&#x00025; CI: 0.567&#x02013;0.680), respectively (<xref rid="f3-mmr-10-02-1013" ref-type="fig">Fig. 3</xref>). The results demonstrated that serum levels of HGF obtained the highest diagnostic value compared with the other three factors. <xref rid="tV-mmr-10-02-1013" ref-type="table">Table V</xref> shows the sensitivity and specificity of the optimal cut-off values.</p></sec>
<sec>
<title>Prognostic value of GRO-1, HGF, PDGF-AA, sE-selectin and HPV in CSCC patients</title>
<p>The median values of GRO-1, HGF, PDGF-AA and sE-selectin were used as the cut-off points. The log-rank analysis demonstrated that patients with a low expression of GRO-1 (&lt;748.43 pg/ml) had significantly longer OS and PFS than those with a high expression of GRO-1 (&gt;748.43 pg/ml; OS, P=0.049; PFS, P=0.048), and that patients with a high expression of HGF (&gt;724.35 pg/ml) had significantly shorter OS and PFS than those with a low expression of HGF (&lt;724.35 pg/ml; OS, P&lt;0.0001; PFS, P&lt;0.0001). The analysis also indicated significant differences in OS and PFS between patients with a high (&gt;22176.68 pg/ml) and low expression (&lt;22176.68 pg/ml) of sE-selectin (OS, P=0.048; PFS, P=0.028). However, no differences in OS and PFS between patients with a high (&gt;13311.48 pg/ml) and low expression (&lt;13311.48 pg/ml) of PDGF-AA (OS, P=0.209; PFS, P=0.207) were identified (<xref rid="f4-mmr-10-02-1013" ref-type="fig">Fig. 4</xref>). Furthermore, HPV-positive patients had shorter OS and PFS compared with the HPV-negative patients (OS, P=0.027; PFS, P=0.023) (<xref rid="f5-mmr-10-02-1013" ref-type="fig">Fig. 5</xref>). <xref rid="tVI-mmr-10-02-1013" ref-type="table">Table VI</xref> indicated that only the expression of HGF in the serum (P&lt;0.0001), FIGO stage (P&lt;0.0001) and pelvic lymph node metastasis (P=0.001) were independent prognostic factors in CSCC patients, while high-risk HPV infection did not show any statistical significance in the multivariate Cox analysis.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>GRO-1, also termed CXCL1, has been extensively investigated in cancer in recent years (<xref rid="b11-mmr-10-02-1013" ref-type="bibr">11</xref>&#x02013;<xref rid="b14-mmr-10-02-1013" ref-type="bibr">14</xref>). It is highly expressed in numerous types of carcinomas, including oropharyngeal cancer (<xref rid="b19-mmr-10-02-1013" ref-type="bibr">19</xref>), colorectal cancer (<xref rid="b13-mmr-10-02-1013" ref-type="bibr">13</xref>) and gastric cancer (<xref rid="b14-mmr-10-02-1013" ref-type="bibr">14</xref>). Ogata <italic>et al</italic> (<xref rid="b13-mmr-10-02-1013" ref-type="bibr">13</xref>) demonstrated that the expression of GRO-1 is associated with tumor size, staging, lymph node metastasis and invasion depth in colorectal cancer using immunohistochemistry. Jung <italic>et al</italic> (<xref rid="b14-mmr-10-02-1013" ref-type="bibr">14</xref>) detected the serum levels of GRO-1 in gastric cancer and found that its high expression was correlated with tumor stage and lymph node metastasis. However, studies investigating this factor in CSCC are extremely rare. In the present study, the serum levels of GRO-1 in CSCC patients were significantly higher than patients with CIN and the healthy controls. In addition, the serum levels were associated with FIGO stage, metastasis, pathological grading and pelvic lymph node metastasis. In addition, the concentration of GRO-1 in patients whose tumor size was &gt;4 cm was higher than those in patients whose tumor size was &#x02264;4 cm, however, no difference was observed between them, and this may be due to the small sample size. The present study also could not verify the association between age and GRO-1. This result is consistent with several previous studies (<xref rid="b13-mmr-10-02-1013" ref-type="bibr">13</xref>,<xref rid="b14-mmr-10-02-1013" ref-type="bibr">14</xref>). Overall, detecting the serum levels of GRO-1 in CSCC patients may be useful for predicting the state of tumor load and the progression of the disease.</p>
<p>Several studies have indicated that the expression of HGF mainly secreted by stromal cells is elevated in various types of carcinoma (<xref rid="b20-mmr-10-02-1013" ref-type="bibr">20</xref>,<xref rid="b21-mmr-10-02-1013" ref-type="bibr">21</xref>), including cervical cancer (<xref rid="b22-mmr-10-02-1013" ref-type="bibr">22</xref>). Certain studies have demonstrated that overexpression of HGF is associated with the progression and metastasis of hepatocellular carcinoma (<xref rid="b20-mmr-10-02-1013" ref-type="bibr">20</xref>). Another study emphasized the important role of HGF and c-MET in the progression and invasion of esophageal squamous cell carcinoma (<xref rid="b23-mmr-10-02-1013" ref-type="bibr">23</xref>). Nakamura <italic>et al</italic> (<xref rid="b24-mmr-10-02-1013" ref-type="bibr">24</xref>) reported that HGF antagonists or inhibitors of c-MET were able to inhibit tumor growth and metastasis. The results from the present study demonstrated that serum levels of HGF in CSCC patients were significantly increased compared with the CIN patients and healthy controls, and that the serum levels were correlated with FIGO stage, pathological grade, pelvic lymph node metastasis and tumor size. These findings suggest that the expression of HGF is associated with infiltration and tumor metastasis. Therefore, inhibiting the HGF/c-MET signaling pathway may be a potential therapeutic treatment for CSCC. In the present study, it was also observed that the serum levels of HGF in patients with metastasis were higher than those without metastasis, however, no statistical significance was observed between them. In addition, no correlation between HGF and age was found. Aune <italic>et al</italic> (<xref rid="b25-mmr-10-02-1013" ref-type="bibr">25</xref>) demonstrated that preoperative serum HGF level is not associated with age, which is consistent with the results from the present study.</p>
<p>Several studies have demonstrated that the upregulation of PDGF in numerous carcinomas is able to promote lymph node metastasis and tumor cell proliferation (<xref rid="b26-mmr-10-02-1013" ref-type="bibr">26</xref>,<xref rid="b27-mmr-10-02-1013" ref-type="bibr">27</xref>). Importantly, it can promote the formation of tumor blood vessels and lymph vessels (<xref rid="b28-mmr-10-02-1013" ref-type="bibr">28</xref>,<xref rid="b29-mmr-10-02-1013" ref-type="bibr">29</xref>). Therefore, PDGF may stimulate the growth and metastasis of tumors by angiogenesis and lymphangiogenesis. It is well established that vascular endothelial growth factor (VEGF) is important in neoplasm angiogenesis. As a member of the PDGF family, PDGF-AA is an important autocrine regulator, which can regulate the expression of VEGF, thus PDGF-AA may be a more potent therapeutic target for inhibiting angiogenesis in tumors than VEGF (<xref rid="b30-mmr-10-02-1013" ref-type="bibr">30</xref>). In the present study, it was observed that the concentrations of PDGF-AA in the serum of CSCC patients were correlated with FIGO stage, pathological grading and lymph node metastasis, and these results were in accordance with the above-mentioned studies. However, the results from the present study demonstrated that the serum levels of PDGF-AA were not associated with metastasis or tumor size and no association of PDGF-AA between the CSCC patients and the other two groups was found. The reasons for these results are diverse. Although PDGF-AA is a potent angiogenic factor, tumor angiogenesis is a multistep process including numerous growth factors and cytokines and every step may lead to different outcomes. The present study also verified that serum levels of PDGF-AA were not associated with age, which is consistent with a former study (<xref rid="b26-mmr-10-02-1013" ref-type="bibr">26</xref>).</p>
<p>Previous studies have demonstrated that sE-selectin is highly expressed in colorectal cancer and is closely associated with the progression, recurrence and metastasis of cancer (<xref rid="b31-mmr-10-02-1013" ref-type="bibr">31</xref>,<xref rid="b32-mmr-10-02-1013" ref-type="bibr">32</xref>). It was observed that the serum levels of sE-selectin were significantly increased in CSCC patients and were correlated with FIGO stage and tumor size. These findings suggested that the levels of sE-selectin can predict tumor invasion and progression. No association was found between sE-selectin and metastasis and certain studies also failed to demonstrate an association between sE-selectin and lymph node metastasis (<xref rid="b33-mmr-10-02-1013" ref-type="bibr">33</xref>). Other studies indicated that sE-selectin is not able to predict the metastasis of colorectal cancer (<xref rid="b34-mmr-10-02-1013" ref-type="bibr">34</xref>). Therefore, this requires further investigation. It was also observed that the levels of sE-selectin were significantly associated with age, which is in accordance with a previous study (<xref rid="b35-mmr-10-02-1013" ref-type="bibr">35</xref>). This may owe to a more active metabolic activity in young patients. No significant correlation was identified between sE-selectin and grading.</p>
<p>In the analysis of high-risk HPV infection in CSCC patients, a higher rate of infection was found in the CSCC patients compared with the CIN patients illustrating that HPV infection is closely associated with the occurrence of cervical cancer (<xref rid="b3-mmr-10-02-1013" ref-type="bibr">3</xref>,<xref rid="b4-mmr-10-02-1013" ref-type="bibr">4</xref>). However, no significance was found between HPV infection and clinicopathological variables, which is consistent with the study by Bachtiary <italic>et al</italic> (<xref rid="b36-mmr-10-02-1013" ref-type="bibr">36</xref>). The association between HPV and the four biomarkers was also analyzed and only the serum levels of HGF in HPV-positive patients were higher than HPV-negative patients. Walker <italic>et al</italic> (<xref rid="b37-mmr-10-02-1013" ref-type="bibr">37</xref>) clarified that the overexpression of HGF is closely associated with cervical HPV infection.</p>
<p>The association between serum levels of GRO-1, HGF, PDGF-AA and sE-selectin in patients with CSCC was investigated in the present study, and it was revealed that HGF was associated with the other three factors, and PDGF-AA was associated with GRO-1. Certain studies have demonstrated that HGF can enhance the generation of GRO-1 and VEGF <italic>in vitro</italic> (<xref rid="b38-mmr-10-02-1013" ref-type="bibr">38</xref>) and another study indicated that serum levels of HGF in head and neck squamous cell carcinoma can regulate the expression of PDGF-A (<xref rid="b39-mmr-10-02-1013" ref-type="bibr">39</xref>). There were correlations between two of either GRO-1, HGF and PDGF-AA in the present study, which suggests that they have a common role in angiogenesis (<xref rid="b11-mmr-10-02-1013" ref-type="bibr">11</xref>,<xref rid="b17-mmr-10-02-1013" ref-type="bibr">17</xref>,<xref rid="b40-mmr-10-02-1013" ref-type="bibr">40</xref>), while no association was found between sE-selectin and GRO-1 and PDGF-AA. Studies investigating this issue are rare and thus further investigation is required.</p>
<p>The diagnostic value of the four biomarkers in CSCC patients was also analyzed. HGF obtained the highest diagnostic value although the diagnostic value of all four factors was not significantly high. Hashem <italic>et al</italic> (<xref rid="b41-mmr-10-02-1013" ref-type="bibr">41</xref>) reported the diagnostic value of HGF in prostate cancer, thus the detection of HGF in the serum of cervical cancer may provide aided diagnostic value.</p>
<p>Finally, the prognostic value of GRO-1, HGF, PDGF-AA, sE-selectin and HPV was examined in patients with CSCC. The results indicated that patients with a low expression of GRO-1, HGF and sE-selectin had significantly longer OS and PFS than those with high expression of the three factors. Furthermore, the HPV-positive patients had shorter OS and PFS compared with the HPV-negative patients, but only the levels of HGF, FIGO stage and pelvic lymph node metastasis were independent prognostic factors in the multivariate Cox analysis. Cheng <italic>et al</italic> (<xref rid="b42-mmr-10-02-1013" ref-type="bibr">42</xref>) reported that GRO-1 may be a promising adverse prognostic molecular marker, and Miyake <italic>et al</italic> (<xref rid="b43-mmr-10-02-1013" ref-type="bibr">43</xref>) confirmed the poor prognostic value of GRO-1 in bladder cancer. Numerous studies have demonstrated the prognostic value of sE-selectin in colorectal cancer (<xref rid="b31-mmr-10-02-1013" ref-type="bibr">31</xref>,<xref rid="b34-mmr-10-02-1013" ref-type="bibr">34</xref>). Our findings suggested that GRO-1 and sE-selectin may have an impact on the prognosis of CSCC patients by affecting FIGO stage or lymph node metastasis, thus GRO-1 and sE-selectin were not independent prognostic risk factors. Madsen <italic>et al</italic> (<xref rid="b44-mmr-10-02-1013" ref-type="bibr">44</xref>) failed to verify the prognostic value of PDGF-AA in ovarian cancer. However, another study indicated the adverse prognosis of PDGF-AA in pancreatic cancer (<xref rid="b26-mmr-10-02-1013" ref-type="bibr">26</xref>), thus the prognostic value of PDGF-AA in CSCC requires further investigation. However, the prognostic value of HPV remains controversial (<xref rid="b6-mmr-10-02-1013" ref-type="bibr">6</xref>&#x02013;<xref rid="b10-mmr-10-02-1013" ref-type="bibr">10</xref>). Studies have reported the prognostic value of HGF in patients with head and neck squamous cell carcinoma and verified that the high expression of HGF was closely associated with a poor prognosis (<xref rid="b45-mmr-10-02-1013" ref-type="bibr">45</xref>). Aune <italic>et al</italic> (<xref rid="b25-mmr-10-02-1013" ref-type="bibr">25</xref>) demonstrated its adverse prognostic significance in ovarian cancer. In cervical cancer, the prognostic value of the HGF receptor was clarified by Baykal <italic>et al</italic> (<xref rid="b46-mmr-10-02-1013" ref-type="bibr">46</xref>), therefore, in addition to these traditional prognostic indicators, including FIGO stage and pelvic lymph node metastasis, the pre-treatment serum levels of HGF may be a predictor of tumor progression in certain early stage cervical carcinomas.</p>
<p>In conclusion, HGF may be a potential prognostic tumor marker rather than high-risk HPV types in patients with CSCC, therefore, detecting the serum levels of HGF may be useful for predicting the prognosis of CSCC patients.</p></sec></body>
<back>
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<floats-group>
<fig id="f1-mmr-10-02-1013" position="float">
<label>Figure 1</label>
<caption>
<p>Concentrations of GRO-1, HGF, PDGF-AA and sE-selectin in CSCC patients, CIN patients and HCs. Each point represents an individual and the horizontal lines show the median values. (A)-Concentration of GRO-1 in the three groups. (B)-Concentration of HGF in the three groups. (C)-Concentration of PDGF-AA in the three groups. (D)-Concentration of sE-selectin in the three groups. CSCC, cervical squamous cell carcinoma; CIN, cervical intraepithelial neoplasia; HC, healthy controls; GRO-1, growth-regulated oncogene-1; HGF, hepatocyte growth factor; PDGF-AA, platelet-derived growth factor-AA; sE-selectin, soluble E-selectin.</p></caption>
<graphic xlink:href="MMR-10-02-1013-g00.gif"/></fig>
<fig id="f2-mmr-10-02-1013" position="float">
<label>Figure 2</label>
<caption>
<p>Scatter diagrams of the correlations between GRO-1, HGF, PDGF-AA and sE-selectin in CSCC patients. (A) Scatter diagram of the correlation between HGF and GRO-1 in CSCC patients. (B) Scatter diagram of the correlation between GRO-1 and PDGF-AA in CSCC patients. (C) Scatter diagram of the correlation between GRO-1 and sE-selectin in CSCC patients. (D) Scatter diagram of the correlation between HGF and PDGF-AA in CSCC patients. (E) Scatter diagram of the correlation between HGF and sE-selectin in CSCC patients. (F) Scatter diagram of the correlation between PDGF-AA and sE-selectin in CSCC patients. CSCC, cervical squamous cell carcinoma; GRO-1, growth-regulated oncogene-1; HGF, hepatocyte growth factor; PDGF-AA, platelet-derived growth factor-AA; sE-selectin, soluble E-selectin.</p></caption>
<graphic xlink:href="MMR-10-02-1013-g01.gif"/></fig>
<fig id="f3-mmr-10-02-1013" position="float">
<label>Figure 3</label>
<caption>
<p>AUROC of GRO-1, HGF, PDGF-AA and sE-selectin for the diagnosis of CSCC patients. (A&#x02013;D) CSCC patients were defined as the positive group and the CIN patients as the negative group. (E&#x02013;H) CSCC patients were defined as the positive group and the healthy controls as the negative group. (I&#x02013;L) The CSCC patients vs. the CIN patients and the healthy controls. CSCC, cervical squamous cell carcinoma; CIN, cervical intraepithelial neoplasia; GRO-1, growth-regulated oncogene-1; HGF, hepatocyte growth factor; PDGF-AA, platelet-derived growth factor-AA; sE-selectin, soluble E-selectin; AUROC, areas under the receiver operating characteristic curve.</p></caption>
<graphic xlink:href="MMR-10-02-1013-g02.gif"/></fig>
<fig id="f4-mmr-10-02-1013" position="float">
<label>Figure 4</label>
<caption>
<p>Kaplan-Meier plots of GRO-1, HGF, PDGF-AA and sE-selectin in CSCC patients. (A&#x02013;B) Survival curves of GRO-1. (C&#x02013;D) Survival curves of HGF. (E&#x02013;F) Survival curves of PDGF-AA. (G&#x02013;H) Survival curves of sE-selectin. CSCC, cervical squamous cell carcinoma; GRO-1, growth-regulated oncogene-1; HGF, hepatocyte growth factor; PDGF-AA, platelet-derived growth factor-AA; sE-selectin, soluble E-selectin.</p></caption>
<graphic xlink:href="MMR-10-02-1013-g03.gif"/></fig>
<fig id="f5-mmr-10-02-1013" position="float">
<label>Figure 5</label>
<caption>
<p>Kaplan-Meier plots of HPV in cervical squamous cell carcinoma patients. (A and B) Survival curves of HPV. HPV, human papillomavirus.</p></caption>
<graphic xlink:href="MMR-10-02-1013-g04.gif"/></fig>
<table-wrap id="tI-mmr-10-02-1013" position="float">
<label>Table I</label>
<caption>
<p>Characteristics of all the cases.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left"/>
<th colspan="2" valign="bottom" align="center">Patients with</th>
<th valign="bottom" align="center"/></tr>
<tr>
<th valign="bottom" align="left"/>
<th colspan="2" valign="bottom" align="left">
<hr/></th>
<th valign="bottom" align="center"/></tr>
<tr>
<th valign="bottom" align="left">Characteristic</th>
<th valign="bottom" align="center">CSCC n (&#x00025;)</th>
<th valign="bottom" align="center">CIN n (&#x00025;)</th>
<th valign="bottom" align="center">Healthy controls n (&#x00025;)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age, median (range)</td>
<td valign="top" align="center">48 (27&#x02013;84)</td>
<td valign="top" align="center">45 (29&#x02013;61)</td>
<td valign="top" align="center">43 (33&#x02013;72)</td></tr>
<tr>
<td colspan="4" valign="top" align="left">FIGO Stage or CIN classification</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I</td>
<td valign="top" align="center">40 (13.70)</td>
<td valign="top" align="center">12 (29.91)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;II</td>
<td valign="top" align="center">108 (36.99)</td>
<td valign="top" align="center">18 (41.86)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;III</td>
<td valign="top" align="center">115 (39.38)</td>
<td valign="top" align="center">13 (30.23)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;IV</td>
<td valign="top" align="center">29 (9.93)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Metastasis</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">29 (9.93)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">263 (90.07)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Grading</td></tr>
<tr>
<td valign="top" align="left">&#x02003;1</td>
<td valign="top" align="center">43 (14.73)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;2</td>
<td valign="top" align="center">147 (50.34)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;3</td>
<td valign="top" align="center">102 (34.93)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Pelvic nodal status</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">150 (51.37)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">142 (48.63)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="4" valign="top" align="left">Tumor size</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;4 cm</td>
<td valign="top" align="center">144 (49.32)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;4 cm</td>
<td valign="top" align="center">148 (50.68)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Total number</td>
<td valign="top" align="center">292 (100)</td>
<td valign="top" align="center">43 (100)</td>
<td valign="top" align="center">91 (100)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-mmr-10-02-1013">
<p>CSCC, cervical squamous cell carcinoma; CIN, cervical intraepithelial neoplasia; FIGO, International Federation of Gynecology and Obstetrics.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-mmr-10-02-1013" position="float">
<label>Table II</label>
<caption>
<p>Prevalence of HPV types in the HPV-positive patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">HPV type</th>
<th valign="bottom" align="center">CSCC patients n (&#x00025;)</th>
<th valign="bottom" align="center">CIN patients n (&#x00025;)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="right">103 (50.24)</td>
<td valign="top" align="right">10 (45.45)</td></tr>
<tr>
<td valign="top" align="left">18/45</td>
<td valign="top" align="right">17 (8.29)</td>
<td valign="top" align="right">5 (22.73)</td></tr>
<tr>
<td valign="top" align="left">31</td>
<td valign="top" align="right">11 (5.37)</td>
<td valign="top" align="right">0 (0.00)</td></tr>
<tr>
<td valign="top" align="left">33/52/58/67</td>
<td valign="top" align="right">35 (17.07)</td>
<td valign="top" align="right">4 (18.18)</td></tr>
<tr>
<td valign="top" align="left">16, 18/45</td>
<td valign="top" align="right">4 (1.95)</td>
<td valign="top" align="right">0 (0.00)</td></tr>
<tr>
<td valign="top" align="left">16, 31</td>
<td valign="top" align="right">4 (1.95)</td>
<td valign="top" align="right">0 (0.00)</td></tr>
<tr>
<td valign="top" align="left">16, 33/52/58/67</td>
<td valign="top" align="right">25 (12.20)</td>
<td valign="top" align="right">3 (13.64)</td></tr>
<tr>
<td valign="top" align="left">18/45, 33/52/58/67</td>
<td valign="top" align="right">4 (1.95)</td>
<td valign="top" align="right">0 (0.00)</td></tr>
<tr>
<td valign="top" align="left">31, 33/52/58/67</td>
<td valign="top" align="right">2 (0.98)</td>
<td valign="top" align="right">0 (0.00)</td></tr>
<tr>
<td valign="top" align="left">Total infection number</td>
<td valign="top" align="right">205 (100)</td>
<td valign="top" align="right">22 (100)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-mmr-10-02-1013">
<p>CSCC, cervical squamous cell carcinoma; CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-mmr-10-02-1013" position="float">
<label>Table III</label>
<caption>
<p>Association between HPV and clinicopathological characteristics in 292 cervical squamous cell carcinoma patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Characteristic</th>
<th valign="bottom" align="center">Patients (n)</th>
<th valign="bottom" align="center">HPV positive n (&#x00025;)</th>
<th valign="bottom" align="center">HPV negative n (&#x00025;)</th>
<th valign="bottom" align="center">&#x003C7;<sup>2</sup></th>
<th valign="bottom" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td colspan="6" valign="top" align="left">Age (years)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;45</td>
<td valign="top" align="right">175</td>
<td valign="top" align="right">121 (69.14)</td>
<td valign="top" align="right">54 (30.86)</td>
<td valign="top" align="center">0.236</td>
<td valign="top" align="center">0.627</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;45</td>
<td valign="top" align="right">117</td>
<td valign="top" align="right">84 (71.79)</td>
<td valign="top" align="right">33 (28.21)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">FIGO stage</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I+II</td>
<td valign="top" align="right">148</td>
<td valign="top" align="right">99 (66.89)</td>
<td valign="top" align="right">49 (33.11)</td>
<td valign="top" align="center">1.575</td>
<td valign="top" align="center">0.209</td></tr>
<tr>
<td valign="top" align="left">&#x02003;III+IV</td>
<td valign="top" align="right">144</td>
<td valign="top" align="right">106 (73.61)</td>
<td valign="top" align="right">38 (26.39)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">Metastasis</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="right">29</td>
<td valign="top" align="right">20 (68.97)</td>
<td valign="top" align="right">9 (31.03)</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">0.878</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="right">263</td>
<td valign="top" align="right">185 (70.34)</td>
<td valign="top" align="right">78 (29.66)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">Grading</td></tr>
<tr>
<td valign="top" align="left">&#x02003;1</td>
<td valign="top" align="right">43</td>
<td valign="top" align="right">29 (67.44)</td>
<td valign="top" align="right">14 (32.56)</td>
<td valign="top" align="center">0.249</td>
<td valign="top" align="center">0.883</td></tr>
<tr>
<td valign="top" align="left">&#x02003;2</td>
<td valign="top" align="right">147</td>
<td valign="top" align="right">103 (70.07)</td>
<td valign="top" align="right">44 (29.93)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;3</td>
<td valign="top" align="right">102</td>
<td valign="top" align="right">73 (71.57)</td>
<td valign="top" align="right">29 (28.43)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">Pelvic lymph node</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="right">150</td>
<td valign="top" align="right">105 (70.00)</td>
<td valign="top" align="right">45 (30.00)</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">0.937</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="right">142</td>
<td valign="top" align="right">100 (70.42)</td>
<td valign="top" align="right">42 (29.58)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="6" valign="top" align="left">Tumor size</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;4 cm</td>
<td valign="top" align="right">144</td>
<td valign="top" align="right">99 (68.75)</td>
<td valign="top" align="right">45 (31.25)</td>
<td valign="top" align="center">0.288</td>
<td valign="top" align="center">0.592</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;4 cm</td>
<td valign="top" align="right">148</td>
<td valign="top" align="right">106 (71.62)</td>
<td valign="top" align="right">42 (28.38)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-mmr-10-02-1013">
<p>HPV, human papillomavirus.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-mmr-10-02-1013" position="float">
<label>Table IV</label>
<caption>
<p>Association between the concentrations of GRO-1, HGF, PDGF-AA and sE-selectin with clinicopathological variables and HPV infection in CSCC patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left"/>
<th colspan="2" valign="bottom" align="center">GRO-1 (pg/ml)</th>
<th colspan="2" valign="bottom" align="center">HGF (pg/ml)</th>
<th colspan="2" valign="bottom" align="center">PDGF-AA (pg/ml)</th>
<th colspan="2" valign="bottom" align="center">sE-selectin (pg/ml)</th></tr>
<tr>
<th valign="bottom" align="left"/>
<th colspan="2" valign="bottom" align="left">
<hr/></th>
<th colspan="2" valign="bottom" align="left">
<hr/></th>
<th colspan="2" valign="bottom" align="left">
<hr/></th>
<th colspan="2" valign="bottom" align="left">
<hr/></th></tr>
<tr>
<th valign="bottom" align="left">Variable</th>
<th valign="bottom" align="center">Median (Q1&#x02013;Q3)</th>
<th valign="bottom" align="center">P-value</th>
<th valign="bottom" align="center">Median (Q1&#x02013;Q3)</th>
<th valign="bottom" align="center">P-value</th>
<th valign="bottom" align="center">Median (Q1&#x02013;Q3)</th>
<th valign="bottom" align="center">P-value</th>
<th valign="bottom" align="center">Median (Q1&#x02013;Q3)</th>
<th valign="bottom" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td colspan="9" valign="top" align="left">Age (years)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;45</td>
<td valign="top" align="center">706.15</td>
<td valign="top" align="center">0.405</td>
<td valign="top" align="center">703.61</td>
<td valign="top" align="center">0.673</td>
<td valign="top" align="center">12232</td>
<td valign="top" align="center">0.507</td>
<td valign="top" align="center">25100.07</td>
<td valign="top" align="center">&lt;0.0001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(498.34&#x02013;1064.77)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(491.28&#x02013;1050.43)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(8924.25&#x02013;18981.15)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(16334.44&#x02013;39911.36)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;45</td>
<td valign="top" align="center">797.84</td>
<td valign="top" align="center"/>
<td valign="top" align="center">730.04</td>
<td valign="top" align="center"/>
<td valign="top" align="center">14546.64</td>
<td valign="top" align="center"/>
<td valign="top" align="center">17570.96</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(511.44&#x02013;1101.05)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(533.35&#x02013;1055.83)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(8975.73&#x02013;20086.15)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(10854.60&#x02013;26670.43)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="9" valign="top" align="left">FIGO stage</td></tr>
<tr>
<td valign="top" align="left">&#x02003;I+II</td>
<td valign="top" align="center">681.68</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">684.94</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">11836.83</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">18567.66</td>
<td valign="top" align="center">&lt;0.0001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(487.51&#x02013;997.52)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(463.36&#x02013;906.66)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(7667.91&#x02013;17829.22)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(12063.41&#x02013;27413.10)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;III+IV</td>
<td valign="top" align="center">854.89</td>
<td valign="top" align="center"/>
<td valign="top" align="center">745.29</td>
<td valign="top" align="center"/>
<td valign="top" align="center">15079.25</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25514.91</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(512.11&#x02013;1377.29)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(541.90&#x02013;1106.87)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(9654.05&#x02013;21567.82)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(16552.68&#x02013;41161.57)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="9" valign="top" align="left">Metastasis</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">725.37</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">718.67</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">13666.55</td>
<td valign="top" align="center">0.473</td>
<td valign="top" align="center">21492.66</td>
<td valign="top" align="center">0.051</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(498.34&#x02013;1032.68)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(497.93&#x02013;1046.13)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(9071.68&#x02013;19012.58)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(13322.53&#x02013;33429.15)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">1454.65</td>
<td valign="top" align="center"/>
<td valign="top" align="center">745.29</td>
<td valign="top" align="center"/>
<td valign="top" align="center">10304.72</td>
<td valign="top" align="center"/>
<td valign="top" align="center">29365.53</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(673.72&#x02013;1813.78)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(514.75&#x02013;1187.60)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(7024.07&#x02013;23145.85)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(17768.34&#x02013;42434.70)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="9" valign="top" align="left">Grading</td></tr>
<tr>
<td valign="top" align="left">&#x02003;1</td>
<td valign="top" align="center">684.23</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">548.78</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">12730.83</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">19027.79</td>
<td valign="top" align="center">0.815</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(486.09&#x02013;1015.88)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(386.06&#x02013;671.97)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(7640.13&#x02013;16155.14)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(14464.74&#x02013;29145.96)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;2</td>
<td valign="top" align="center">680.07</td>
<td valign="top" align="center"/>
<td valign="top" align="center">651.76</td>
<td valign="top" align="center"/>
<td valign="top" align="center">12621.99</td>
<td valign="top" align="center"/>
<td valign="top" align="center">21882.43</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(471.20&#x02013;1021.78)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(474.78&#x02013;883.24)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(8755.05&#x02013;18273.21)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(13322.53&#x02013;36253.62)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;3</td>
<td valign="top" align="center">932.37</td>
<td valign="top" align="center"/>
<td valign="top" align="center">954.13</td>
<td valign="top" align="center"/>
<td valign="top" align="center">15745.92</td>
<td valign="top" align="center"/>
<td valign="top" align="center">23168.46</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(639.76&#x02013;1280.61)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(743.85&#x02013;1163.76)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(9749.88&#x02013;22532.62)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(14012.20&#x02013;35245.75)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="9" valign="top" align="left">Pelvic lymph node</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">854.06</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">867.08</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">16083.24</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">22472.31</td>
<td valign="top" align="center">0.528</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(539.70&#x02013;1177.40)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(556.12&#x02013;1149.30)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(9376.87&#x02013;21631.17)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(14012.20&#x02013;37642.05)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">673.11</td>
<td valign="top" align="center"/>
<td valign="top" align="center">609.31</td>
<td valign="top" align="center"/>
<td valign="top" align="center">11382.93</td>
<td valign="top" align="center"/>
<td valign="top" align="center">21492.66</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(455.37&#x02013;1020.08)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(424.11&#x02013;801.47)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(7905.86&#x02013;15881.62)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(13483.41&#x02013;32109.79)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="9" valign="top" align="left">Tumor size</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;4 cm</td>
<td valign="top" align="center">797.41</td>
<td valign="top" align="center">0.115</td>
<td valign="top" align="center">881.21</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">13486.61</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">25100.07</td>
<td valign="top" align="center">0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(507.29&#x02013;1202.84)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(574.39&#x02013;1208.60)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(8770.29&#x02013;20453.72)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(15987.78&#x02013;39849.31)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;4 cm</td>
<td valign="top" align="center">703.19</td>
<td valign="top" align="center"/>
<td valign="top" align="center">646.29</td>
<td valign="top" align="center"/>
<td valign="top" align="center">13104.19</td>
<td valign="top" align="center"/>
<td valign="top" align="center">19585.97</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(496.78&#x02013;1029.21)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(427.27&#x02013;829.08)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(9086.33&#x02013;18808.46)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(12373.51&#x02013;29530.70)</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="9" valign="top" align="left">HPV type</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">756.01</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center">739.56</td>
<td valign="top" align="center">0.039</td>
<td valign="top" align="center">13407.86</td>
<td valign="top" align="center">0.883</td>
<td valign="top" align="center">22472.31</td>
<td valign="top" align="center">0.595</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(491.82&#x02013;1060.47)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(523.15&#x02013;1080.69)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(9046.62&#x02013;18981.15)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(14382.01&#x02013;35777.81)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">737.38</td>
<td valign="top" align="center"/>
<td valign="top" align="center">649.94</td>
<td valign="top" align="center"/>
<td valign="top" align="center">12999.18</td>
<td valign="top" align="center"/>
<td valign="top" align="center">21882.43</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">(557.53&#x02013;1203.25)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(464.98&#x02013;907.68)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(8816.01&#x02013;21652.84)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(12529.74&#x02013;33429.15)</td>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn4-mmr-10-02-1013">
<p>CSCC, cervical squamous cell carcinoma; GRO-1, growth-regulated oncogene-1; HGF, hepatocyte growth factor; PDGF-AA, platelet-derived growth factor-AA; sE-selectin, soluble E-selectin.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tV-mmr-10-02-1013" position="float">
<label>Table V</label>
<caption>
<p>Sensitivity and specificity of the optimal cut-off values in different screening groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Group</th>
<th valign="bottom" align="center">GRO-1</th>
<th valign="bottom" align="center">HGF</th>
<th valign="bottom" align="center">PDGF-AA</th>
<th valign="bottom" align="center">sE-selectin</th></tr></thead>
<tbody>
<tr>
<td colspan="5" valign="top" align="left">CSCC vs CIN</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Cut-off point (pg/ml)</td>
<td valign="top" align="right">902.27</td>
<td valign="top" align="right">717.72</td>
<td valign="top" align="right">8287.73</td>
<td valign="top" align="right">22176.68</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Sensitivity (&#x00025;)</td>
<td valign="top" align="right">39.04</td>
<td valign="top" align="right">50.68</td>
<td valign="top" align="right">78.77</td>
<td valign="top" align="right">50.00</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Specificity (&#x00025;)</td>
<td valign="top" align="right">81.40</td>
<td valign="top" align="right">79.07</td>
<td valign="top" align="right">32.56</td>
<td valign="top" align="right">74.42</td></tr>
<tr>
<td colspan="5" valign="top" align="left">CSCC vs healthy controls</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Cut-off point (pg/ml)</td>
<td valign="top" align="right">466.89</td>
<td valign="top" align="right">494.00</td>
<td valign="top" align="right">19898.33</td>
<td valign="top" align="right">27399.83</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Sensitivity (&#x00025;)</td>
<td valign="top" align="right">80.48</td>
<td valign="top" align="right">76.71</td>
<td valign="top" align="right">22.95</td>
<td valign="top" align="right">36.64</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Specificity (&#x00025;)</td>
<td valign="top" align="right">42.86</td>
<td valign="top" align="right">58.24</td>
<td valign="top" align="right">94.51</td>
<td valign="top" align="right">85.71</td></tr>
<tr>
<td colspan="5" valign="top" align="left">CSCC vs CIN and healthy controls</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Cut-off point (pg/ml)</td>
<td valign="top" align="right">407.58</td>
<td valign="top" align="right">494.00</td>
<td valign="top" align="right">19898.33</td>
<td valign="top" align="right">27399.83</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Sensitivity (&#x00025;)</td>
<td valign="top" align="right">88.01</td>
<td valign="top" align="right">76.71</td>
<td valign="top" align="right">22.95</td>
<td valign="top" align="right">36.64</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Specificity (&#x00025;)</td>
<td valign="top" align="right">32.84</td>
<td valign="top" align="right">54.48</td>
<td valign="top" align="right">91.04</td>
<td valign="top" align="right">84.33</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn5-mmr-10-02-1013">
<p>GRO-1, growth-regulated oncogene-1; HGF, hepatocyte growth factor; PDGF-AA, platelet-derived growth factor-AA; sE-selectin, soluble E-selectin; CSCC, cervical squamous cell carcinoma; CIN, cervical intraepithelial neoplasia.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tVI-mmr-10-02-1013" position="float">
<label>Table VI</label>
<caption>
<p>Multivariate Cox regression in cervical squamous cell carcinoma patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left"/>
<th colspan="3" valign="bottom" align="center">OS</th>
<th colspan="3" valign="bottom" align="center">PFS</th></tr>
<tr>
<th valign="bottom" align="left"/>
<th colspan="3" valign="bottom" align="left">
<hr/></th>
<th colspan="3" valign="bottom" align="left">
<hr/></th></tr>
<tr>
<th valign="bottom" align="left">Risk factor</th>
<th valign="bottom" align="center">P-value</th>
<th valign="bottom" align="center">HR</th>
<th valign="bottom" align="center">95&#x00025; CI</th>
<th valign="bottom" align="center">P-value</th>
<th valign="bottom" align="center">HR</th>
<th valign="bottom" align="center">95&#x00025; CI</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age: &gt;45 vs &#x02264;45 years</td>
<td valign="top" align="center">0.277</td>
<td valign="top" align="center">1.235</td>
<td valign="top" align="center">0.844&#x02013;1.808</td>
<td valign="top" align="center">0.237</td>
<td valign="top" align="center">1.258</td>
<td valign="top" align="center">0.860&#x02013;1.840</td></tr>
<tr>
<td valign="top" align="left">FIGO stage: III+IV vs I+II</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">2.616</td>
<td valign="top" align="center">1.727&#x02013;3.961</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">2.540</td>
<td valign="top" align="center">1.683&#x02013;3.835</td></tr>
<tr>
<td valign="top" align="left">Metastasis: Positive vs negative</td>
<td valign="top" align="center">0.911</td>
<td valign="top" align="center">0.967</td>
<td valign="top" align="center">0.534&#x02013;1.752</td>
<td valign="top" align="center">0.985</td>
<td valign="top" align="center">0.994</td>
<td valign="top" align="center">0.548&#x02013;1.804</td></tr>
<tr>
<td valign="top" align="left">Grading: 3 vs 1+2</td>
<td valign="top" align="center">0.316</td>
<td valign="top" align="center">0.816</td>
<td valign="top" align="center">0.549&#x02013;1.214</td>
<td valign="top" align="center">0.293</td>
<td valign="top" align="center">0.808</td>
<td valign="top" align="center">0.544&#x02013;1.202</td></tr>
<tr>
<td valign="top" align="left">Pelvic nodal status: Positive vs negative</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.950</td>
<td valign="top" align="center">1.320&#x02013;2.881</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.982</td>
<td valign="top" align="center">1.342&#x02013;2.927</td></tr>
<tr>
<td valign="top" align="left">Tumor size: &gt;4 cm vs &#x02264;4 cm</td>
<td valign="top" align="center">0.676</td>
<td valign="top" align="center">0.923</td>
<td valign="top" align="center">0.633&#x02013;1.345</td>
<td valign="top" align="center">0.668</td>
<td valign="top" align="center">0.921</td>
<td valign="top" align="center">0.631&#x02013;1.343</td></tr>
<tr>
<td valign="top" align="left">GRO-1 (pg/ml): High vs low levels</td>
<td valign="top" align="center">0.554</td>
<td valign="top" align="center">1.117</td>
<td valign="top" align="center">0.774&#x02013;1.614</td>
<td valign="top" align="center">0.627</td>
<td valign="top" align="center">1.095</td>
<td valign="top" align="center">0.759&#x02013;1.579</td></tr>
<tr>
<td valign="top" align="left">HGF (pg/ml): High vs low levels</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">5.640</td>
<td valign="top" align="center">3.596&#x02013;8.846</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">5.279</td>
<td valign="top" align="center">3.368&#x02013;8.276</td></tr>
<tr>
<td valign="top" align="left">PDGF-AA (pg/ml): High vs low levels</td>
<td valign="top" align="center">0.187</td>
<td valign="top" align="center">0.776</td>
<td valign="top" align="center">0.533&#x02013;1.130</td>
<td valign="top" align="center">0.206</td>
<td valign="top" align="center">0.785</td>
<td valign="top" align="center">0.540&#x02013;1.142</td></tr>
<tr>
<td valign="top" align="left">sE-selectin (pg/ml): High vs low levels</td>
<td valign="top" align="center">0.695</td>
<td valign="top" align="center">0.929</td>
<td valign="top" align="center">0.643&#x02013;1.342</td>
<td valign="top" align="center">0.977</td>
<td valign="top" align="center">0.995</td>
<td valign="top" align="center">0.690&#x02013;1.433</td></tr>
<tr>
<td valign="top" align="left">HPV: Positive vs negative</td>
<td valign="top" align="center">0.301</td>
<td valign="top" align="center">1.251</td>
<td valign="top" align="center">0.819&#x02013;1.910</td>
<td valign="top" align="center">0.260</td>
<td valign="top" align="center">1.276</td>
<td valign="top" align="center">0.835&#x02013;1.948</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn6-mmr-10-02-1013">
<p>PFS, progression-free survival; OS, overall survival time; HR, hazard ratio; CI, confidence interval; GRO-1, growth-regulated oncogene-1; HGF, hepatocyte growth factor; PDGF-AA, platelet-derived growth factor-AA; sE-selectin, soluble E-selectin.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
