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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">MCO</journal-id>
<journal-title-group>
<journal-title>Molecular and Clinical Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">2049-9450</issn>
<issn pub-type="epub">2049-9469</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mco.2012.54</article-id>
<article-id pub-id-type="publisher-id">mco-01-02-0274</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>L-type amino acid transporter 1 expression is highly correlated with Gleason score in prostate cancer</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>SEGAWA</surname><given-names>ATSUKI</given-names></name><xref rid="af1-mco-01-02-0274" ref-type="aff"><sup>1</sup></xref><xref rid="af2-mco-01-02-0274" ref-type="aff"><sup>2</sup></xref><xref ref-type="corresp" rid="c1-mco-01-02-0274"/></contrib>
<contrib contrib-type="author">
<name><surname>NAGAMORI</surname><given-names>SHUSHI</given-names></name><xref rid="af3-mco-01-02-0274" ref-type="aff"><sup>3</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>KANAI</surname><given-names>YOSHIKATSU</given-names></name><xref rid="af3-mco-01-02-0274" ref-type="aff"><sup>3</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>MASAWA</surname><given-names>NOBUHIDE</given-names></name><xref rid="af2-mco-01-02-0274" ref-type="aff"><sup>2</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>OYAMA</surname><given-names>TETSUNARI</given-names></name><xref rid="af1-mco-01-02-0274" ref-type="aff"><sup>1</sup></xref></contrib></contrib-group>
<aff id="af1-mco-01-02-0274">
<label>1</label>Department of Diagnostic Pathology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8512;</aff>
<aff id="af2-mco-01-02-0274">
<label>2</label>Department of Pathology, Dokkyo University School of Medicine, Mibu, Tochigi 321-0293;</aff>
<aff id="af3-mco-01-02-0274">
<label>3</label>Division of Bio-system Pharmacology, Department of Pharmacology, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, 
<country>Japan</country></aff>
<author-notes>
<corresp id="c1-mco-01-02-0274">Correspondence to: Dr Atsuki Segawa, Department of Diagnostic Pathology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8512, Japan, E-mail: <email>asegawa@med.gunma-u.ac.jp</email></corresp></author-notes>
<pub-date pub-type="ppub">
<season>March-April</season>
<year>2013</year></pub-date>
<pub-date pub-type="epub">
<day>20</day>
<month>12</month>
<year>2012</year></pub-date>
<volume>1</volume>
<issue>2</issue>
<fpage>274</fpage>
<lpage>280</lpage>
<history>
<date date-type="received">
<day>02</day>
<month>08</month>
<year>2012</year></date>
<date date-type="accepted">
<day>14</day>
<month>12</month>
<year>2012</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2013, Spandidos Publications</copyright-statement>
<copyright-year>2013</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>Upregulation of L-type amino acid transporter 1 (LAT1), a member of the system L amino acid transporter family, may be detected by immunohistochemical methods. Immunoreactive LAT1 expression in prostate cancer is considered to be a promising biomarker for high-grade malignancy. However, the mutual association between LAT1 and Gleason score, the most fixed indicator for grading the malignancy of prostate cancers, remains to be elucidated. The aim of this study was to clarify the correlations between LAT1 and other factors in prostate cancer, including the Gleason score. We evaluated 54 cases of primary prostate cancer, surgically resected without any neoadjuvant therapies and performed immunohistochemistry for LAT1, Ki-67, CD34 and vascular endothelial growth factor on the tissue sections. The Gleason score as well as the age, pathological stage (pStage) of prostate cancer and serum concentration of prostate-specific antigen (PSA) of each case were also assessed. Statistical analysis for the correlations between LAT1 expression and Gleason score and each of the other characteristics studied was performed. As a result, a strong significant correlation between immuno-reactive LAT1 expression and Gleason score was identified (P&#x0003C;0.01). We concluded that immunoreactive LAT1 expression in tissue sections of prostate cancer may be useful as a biomarker for high-grade malignancy.</p></abstract>
<kwd-group>
<kwd>biomarker</kwd>
<kwd>Gleason score</kwd>
<kwd>immunohistochemistry</kwd>
<kwd>L-type amino acid transporter 1</kwd>
<kwd>prostate cancer</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Prostate cancers have recently increased with regard to the number of patients and the mortality rate (<xref rid="b1-mco-01-02-0274" ref-type="bibr">1</xref>). L-type amino acid transporter 1 (LAT1) is a Na<sup>&#x0002B;</sup>-independent amino acid transporter responsible for system L, a major nutrient transport system for large neutral amino acids (<xref rid="b2-mco-01-02-0274" ref-type="bibr">2</xref>,<xref rid="b3-mco-01-02-0274" ref-type="bibr">3</xref>). Previous studies have shown that LAT1 is often excessively expressed in primary human neoplasms of various organs and is involved in tumor cell proliferation due to its function in transporting essential amino acids (<xref rid="b4-mco-01-02-0274" ref-type="bibr">4</xref>&#x02013;<xref rid="b6-mco-01-02-0274" ref-type="bibr">6</xref>). Previous studies have demonstrated the upregulation of LAT1 immunohistochemically in prostate cancers (<xref rid="b7-mco-01-02-0274" ref-type="bibr">7</xref>), as well as in squamous cell carcinomas (<xref rid="b8-mco-01-02-0274" ref-type="bibr">8</xref>,<xref rid="b9-mco-01-02-0274" ref-type="bibr">9</xref>), gliomas (<xref rid="b10-mco-01-02-0274" ref-type="bibr">10</xref>), urothelial carcinomas (<xref rid="b11-mco-01-02-0274" ref-type="bibr">11</xref>), non-small cell lung cancers (<xref rid="b12-mco-01-02-0274" ref-type="bibr">12</xref>,<xref rid="b13-mco-01-02-0274" ref-type="bibr">13</xref>), breast cancers (<xref rid="b14-mco-01-02-0274" ref-type="bibr">14</xref>) and pancreatic cancers (<xref rid="b15-mco-01-02-0274" ref-type="bibr">15</xref>). In their previous study, Sakata <italic>et al</italic> (<xref rid="b7-mco-01-02-0274" ref-type="bibr">7</xref>) suggested that elevated LAT1 expression in prostate cancer core needle biopsy samples may be considered a novel biomarker for high-grade malignancy, but did not clarify the correlation between LAT1 expression and Gleason score, the most commonly used tool for grading the malignancy of prostate cancers. In the present study, to examine the associations between LAT1 expression and certain clinicopathological features, and to further evaluate the significance of LAT1 expression in prostate cancer, we retrospectively reviewed a total of 54 patients with surgically resected primary prostatic adenocarcinoma, and conducted immunohistological examinations for LAT1, Ki-67 labeling index (LI), CD34-positive microvessel density (MVD) and vascular endothelial growth factor (VEGF). Age, preoperative serum concentration of prostate-specific antigen (PSA), pathological stage (pStage) of cancer and Gleason score were also assessed for each patient.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Patients</title>
<p>Fifty-four patients with primary prostatic adenocarcinoma who underwent radical prostatectomy in the Dokkyo Medical University Hospital (Tochigi, Japan) between January, 1999 and March, 2010 with no neoadjuvant therapies were evaluated in this study. Using the surgically resected tumor specimen of each patient, we determined the pStage using the TNM Classification of Malignant Tumours Seventh Edition of the International Union Against Cancer (UICC TNM 2009) (<xref rid="b16-mco-01-02-0274" ref-type="bibr">16</xref>) and the Gleason score, according to the guidelines of the 2005 International Society of Urological Pathology consensus conference (<xref rid="b17-mco-01-02-0274" ref-type="bibr">17</xref>). The study protocol was approved by our institutional review board.</p></sec>
<sec>
<title>Immunohistochemical staining</title>
<p>We performed immunohistochemical staining for LAT1 (anti-human monoclonal mouse antibody 4A2, 2 <italic>&#x003BC;</italic>g/ml; kindly provided by Dr H. Endou, J-Pharma Co., Ltd., Tokyo, Japan), Ki-67 (monoclonal mouse antibody MIB-1, 1:50; Dako Cytomation, Carpinteria, CA, USA), CD34 (monoclonal mouse antibody NU-4A1, ready-to-use; Nichirei Biosciences, Tokyo, Japan) and VEGF (monoclonal mouse antibody R11, 1:100; Immuno-Biological Laboratories Co., Ltd., Fujioka, Japan) using 4-<italic>&#x003BC;</italic>m formalin-fixed paraffin-embedded tissue sections from the surgically resected tumor samples of the 54 patients. Deparaffinization of the sections was performed by passage through xylene, while endogenous peroxidase activity was blocked with 1&#x00025; H<sub>2</sub>O<sub>2</sub> in methanol for 30 min and antigen retrieval was performed with microwave pretreatment in citrate buffer if required (LAT1: 0.01 mol/l, pH 6.0, 95&#x000B0;C, 20 min; Ki-67 and CD34: 0.01 mol/l, pH 9.0, 95&#x000B0;C, 10 min; VEGF: no antigen retrieval techniques required). After rinsing in 0.01 mol/l phosphate-buffered saline (PBS), pH 7.4, and treatment with a protein blocking agent (Ultra Tech HRP Streptavidin-Biotin Detection System; Beckman Coulter, Fullerton, CA, USA) for 10 min, the sections were incubated with each primary antibody for 2 h in humidity chambers at room temperature. After a thorough wash with PBS, the sections were incubated with a biotinylated secondary antibody (Ultra Tech HRP Streptavidin-Biotin Detection System) for 10 min, followed by a streptavidin-peroxidase reagent (Ultra Tech HRP Streptavidin-Biotin Detection System) for an additional 10 min. 3,3&#x02032;-Diaminobenzidine tetrahydrochloride (Nichirei Biosciences, Inc.) was used for visualization. The sections were then lightly counterstained with hematoxylin.</p></sec>
<sec>
<title>Immunohistochemical evaluation</title>
<p>LAT1 expression was considered positive only when the cell membranes of cancer cells showed obvious immunoreactivity (<xref rid="f1-mco-01-02-0274" ref-type="fig">Fig. 1</xref>), since Sakata <italic>et al</italic> (<xref rid="b7-mco-01-02-0274" ref-type="bibr">7</xref>) demonstrated that LAT1 was localized on the cell membranes of cancer cells. Western blot analysis and absorption testing performed in a previously published study (<xref rid="b7-mco-01-02-0274" ref-type="bibr">7</xref>) clearly showed the specificity of monoclonal antibody 4A2 for the N-terminal of the LAT1 peptide, and the good stability of 4A2 for immunohistochemistry on formalin-fixed and paraffin-embedded tissue sections (<xref rid="b7-mco-01-02-0274" ref-type="bibr">7</xref>).</p>
<p>We counted &#x0223C;1,000 nuclei in a highly cellular area of each Ki-67-immunoreactive section of the 54 cases and defined positive cancer cells as those with nuclear immunoreactivity of any intensity. We assessed the proliferative activity as the percentage of immunopositive nuclei in the 1,000 cancer cells, representing the so-called Ki-67 LI (<xref rid="b18-mco-01-02-0274" ref-type="bibr">18</xref>).</p>
<p>On the basis of the criteria of Weidner <italic>et al</italic> (<xref rid="b19-mco-01-02-0274" ref-type="bibr">19</xref>), we assessed the potential for invasion as MVD in the tumor areas showing the highest number of discrete microvessels positively stained for CD34. Any brown-stained endothelial cell or cell cluster that was clearly separated from adjacent microvessels, tumor cells and other connective tissue elements was considered to be a single countable microvessel. The number of CD34-positive vessels in a &#x000D7;400 field (0.26 mm<sup>2</sup> field area) was counted at four selected hotspots and the MVD was defined as the mean count of microvessels/0.26 mm<sup>2</sup> field area.</p>
<p>VEGF expression was assessed according to the percentage of immunoreactive cells in a total of 1,000 neoplastic cells (quantitative analysis) (<xref rid="b20-mco-01-02-0274" ref-type="bibr">20</xref>).</p>
<p>The Gleason score determination and immunohistochemical evaluation of each antibody were separately performed by two board-certified pathologists. In cases of discrepancy, the sections were simultaneously inspected by the two pathologists until they reached agreement for the final assessment.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>The Mann-Whitney U test was used to assess the association between two factors comprising LAT1 expression, Gleason score and other clinicopathological characteristics listed in <xref rid="t1-mco-01-02-0274" ref-type="table">Table I</xref>. P&#x0003C;0.05 was considered to indicate a statistically significant difference. Statistical analysis was performed using StatView version 4.54 for the Windows software (SAS Institute Inc., Cary, NC, USA).</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Patient characteristics</title>
<p>Characteristics of the 54 patients enrolled in the present study are listed in <xref rid="t1-mco-01-02-0274" ref-type="table">Table I</xref>. Patient age ranged from 51 to 77 years (median, 65.5 years), and the median value was considered to be the cut-off point. For the preoperative serum PSA concentration, the range was 1.7 to 35.8 ng/ml (median, 6.9 ng/ml). We determined the cut-off point for serum PSA at 10.0 ng/ml, according to the D&#x02019;Amico risk assessment (<xref rid="b21-mco-01-02-0274" ref-type="bibr">21</xref>). We found that 16 (30&#x00025;) of 54 patients had higher PSA concentrations compared to the cut-off value. The pStage distribution by the TNM classification was as follows: pStage I or II, n&#x0003D;29; pStage III or IV, n&#x0003D;25. Since the Gleason score is well-known to be markedly correlated with lethal risk for patients following treatment, we divided the 54 patients into two groups, comprising a high (Gleason score of 4&#x0002B;3&#x0003D;7, &#x02265;8) and a low GS group (Gleason score 3&#x0002B;4&#x0003D;7, &#x02264;6), according to the findings of previously published studies (<xref rid="b21-mco-01-02-0274" ref-type="bibr">21</xref>&#x02013;<xref rid="b23-mco-01-02-0274" ref-type="bibr">23</xref>). Overall, 26 patients were in the high and 28 patients in the low GS group.</p></sec>
<sec>
<title>Immunohistochemical analysis</title>
<p>Of the 54 patients, 13 (24&#x00025;) exhibited positive LAT1 immunoreactivity. Expression of LAT1 was not observed in non-neoplastic prostate epithelium. The median values of Ki-67 LI, MVD determined by CD34-positivity, and VEGF expression were 0.7&#x00025; (range, 0.0&#x02013;9.1), 24.5 (range, 12&#x02013;62) and 31.5&#x00025; (range, 0.0&#x02013;100), respectively. The cut-off point of Ki-67 LI was set at 1.0&#x00025;, based on the findings of a previously published study by Laitinen <italic>et al</italic> (<xref rid="b24-mco-01-02-0274" ref-type="bibr">24</xref>). For MVD, by CD34-positivity, and VEGF expression, each median value was chosen as the cut-off point. Of the 54 patients, expression higher than the cut-off value was respectively identified in 22 (41&#x00025;) patients for Ki-67 LI, 27 (50&#x00025;) patients for MVD by CD34-positivity and 27 (50&#x00025;) patients for VEGF expression.</p></sec>
<sec>
<title>Associations between LAT1 expression and other factors</title>
<p>The associations between LAT1 expression and other factors are shown in <xref rid="t2-mco-01-02-0274" ref-type="table">Table II</xref>. Overall, 12 of 13 LAT1-positive cases belonged to the high GS group, and a significant correlation was clearly observed between LAT1 expression and Gleason score (P&#x0003C;0.01). LAT1 expression showed a tendency for more occasional expression in cases with a higher pStage (P&#x0003D;0.059), but was not markedly associated with age, serum PSA, Ki-67 LI, MVD by CD34-positivity or VEGF expression.</p>
<p>In the 13 cases with positive LAT1 immunoreactivity, the positively stained cancer cells were mainly distributed on invasive borders, rather than inside tumor cell clusters. The predominant histological forms of the prostate cancers at the LAT1-positive areas varied among the 13 cases with no statistically significant difference (trabecular pattern in two cases, fused glands in nine cases, and single-shaped glands in two cases).</p></sec>
<sec>
<title>Associations between Gleason score and other factors</title>
<p>The associations between Gleason score and other factors are shown in <xref rid="t3-mco-01-02-0274" ref-type="table">Table III</xref>. The Gleason score was significantly correlated with LAT1 expression (P&#x0003C;0.01), pStage (P&#x0003C;0.01), and Ki-67 LI (P&#x0003D;0.016). The serum PSA concentration tended to be higher in the patients in the high GS group (P&#x0003D;0.051). No statistically significant correlations were detected between Gleason score and age, or MVD by CD34-positivity or VEGF expression.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>LAT1 is a Na<sup>&#x0002B;</sup>-independent amino acid transporter with 12 putative membrane-spanning domains (<xref rid="b25-mco-01-02-0274" ref-type="bibr">25</xref>,<xref rid="b26-mco-01-02-0274" ref-type="bibr">26</xref>), and its activity is essential for tumor cell proliferation in various organs including the prostate (<xref rid="b7-mco-01-02-0274" ref-type="bibr">7</xref>&#x02013;<xref rid="b15-mco-01-02-0274" ref-type="bibr">15</xref>). Sakata <italic>et al</italic> (<xref rid="b7-mco-01-02-0274" ref-type="bibr">7</xref>) suggested that LAT1 expression in a prostate cancer may be regarded as a strongly significant prognostic factor for the patient and that an immunoreactive LAT1 expression test has potential as a biomarker indicating high-grade malignancy of prostate cancers. When prostate cancers are assessed for their degree of malignancy, the Gleason score is the most commonly used parameter worldwide. However, a great discrepancy remains, since no statistically significant correlation between immuno-reactive LAT1 expression and Gleason score has been detected in studies conducted by Sakata <italic>et al</italic> (<xref rid="b7-mco-01-02-0274" ref-type="bibr">7</xref>). Gleason scores were grouped using individual scores from 5 to 10, while urologists and pathologists usually divide the Gleason scores into two or three groups: low and high GS groups, or low, middle, and high GS groups (<xref rid="b21-mco-01-02-0274" ref-type="bibr">21</xref>&#x02013;<xref rid="b23-mco-01-02-0274" ref-type="bibr">23</xref>). We estimated that this could be the reason why Sakata <italic>et al</italic> (<xref rid="b7-mco-01-02-0274" ref-type="bibr">7</xref>) did not demonstrate a significant association between LAT1 expression and Gleason score. In the present study, we have clearly demonstrated this significant correlation, after adequately grouping the Gleason scores into two groups. To the best of our knowledge, the present study is the first to markedly correlate immunoreactive LAT1 expression and the monoclonal antibody 4A2 with the Gleason score, showing that LAT1 is reliable as a biomarker for high-grade prostate cancers.</p>
<p>The Gleason score was also significantly correlated with the pStage of the patients and Ki-67 LI on tissue sections and an almost significant association was found between serum PSA and Gleason score, while LAT1 expression did not show statistically significant correlations with any of the pStage, Ki-67 LI or serum PSA. Age and MVD by CD34-positivity and VEGF expression showed no statistically significant correlations with LAT1 expression or Gleason score, although Kaira <italic>et al</italic> (<xref rid="b20-mco-01-02-0274" ref-type="bibr">20</xref>) reported statistically significant correlations between LAT1 and MVD by CD34-positivity and VEGF expression for primary lung adenocarcinomas. This discrepancy may occur as prostate cancers usually exhibit a slower growth compared to lung cancers. In other studies, lung adenocarcinomas and breast cancers showed much more intense and clearer immunoreactivity on the cell membranes (<xref rid="b14-mco-01-02-0274" ref-type="bibr">14</xref>,<xref rid="b20-mco-01-02-0274" ref-type="bibr">20</xref>) compared to the prostate adenocarcinomas discussed in this study. This discrepancy may also occur due to the relatively gentle character of prostate cancers. However, a pale stain in the tissue sections prepared, may have resulted from inferiority in certain technical skills.</p>
<p>The LAT1-positive cancer cells appeared to be mainly distributed on invasive borders, rather than inside tumor cell clusters, suggesting that LAT1 is involved in the infiltration of tumor cells into interstitial tissues.</p>
<p>We conclude that LAT1 expression in prostate cancer tissue sections is a promising biomarker for high-grade malignancy. However, the reliability of LAT1 is not likely_to exceed that of the Gleason score. Although the Gleason grading system is more reliable compared to the LAT1 immunoreactivity, LAT1 may nevertheless be as useful as the Gleason score, since testing for immunoreactive LAT1 expression is relatively simple and the results are easy to interpret, while the Gleason grading system requires a sufficient number of skilled pathologists for proper application in a population.</p></sec></body>
<back>
<ack>
<p>The authors are deeply grateful to Dr Hitoshi Endou (J-Pharma Co., Ltd.) for providing the anti-LAT1 antibody. The authors are also greatly indebted to Mr. S Suzuki and Mr. H Kojima (Dokkyo Medical University, Tochigi, Japan) for their excellent technical assistance.</p></ack>
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<sec sec-type="display-objects">
<title>Figure and Tables</title>
<fig id="f1-mco-01-02-0274" position="float">
<label>Figure 1</label>
<caption>
<p>Immunohistochemical findings of prostate cancer for L-type amino acid transporter 1 (LAT1). LAT1 expression was considered positive only when (A) the cell membranes of cancer cells showed obvious immuno-reactivity. (B) Intracytoplasmic staining and (C) obscure reactivity were regarded as negative.</p></caption>
<graphic xlink:href="MCO-01-02-0274-g00.tif"/></fig>
<table-wrap id="t1-mco-01-02-0274" position="float">
<label>Table I</label>
<caption>
<p>Patient characteristics (n&#x0003D;54).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">No.</th>
<th align="center" valign="bottom">LAT1</th>
<th align="center" valign="bottom">Gleason score</th>
<th align="center" valign="bottom">pStage</th>
<th align="center" valign="bottom">PSA (ng/ml)</th>
<th align="center" valign="bottom">Age (years)</th>
<th align="center" valign="bottom">Ki-67 LI (&#x00025;)</th>
<th align="center" valign="bottom">CD34 MVD</th>
<th align="center" valign="bottom">VEGF (&#x00025;)</th></tr></thead>
<tbody>
<tr>
<td align="right" valign="top">1</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">5&#x0002B;4&#x0003D;9</td>
<td align="center" valign="top">4</td>
<td align="right" valign="top">6.5</td>
<td align="right" valign="top">69</td>
<td align="right" valign="top">9.1</td>
<td align="right" valign="top">12</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">2</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">4&#x0002B;5&#x0003D;9</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">6.6</td>
<td align="right" valign="top">74</td>
<td align="right" valign="top">1.8</td>
<td align="right" valign="top">40</td>
<td align="right" valign="top">28</td></tr>
<tr>
<td align="right" valign="top">3</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">4&#x0002B;5&#x0003D;9</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">6.5</td>
<td align="right" valign="top">64</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">18</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">4</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">4&#x0002B;4&#x0003D;8</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">8.9</td>
<td align="right" valign="top">64</td>
<td align="right" valign="top">0</td>
<td align="right" valign="top">30</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">5</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">3&#x0002B;5&#x0003D;8</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">6.7</td>
<td align="right" valign="top">64</td>
<td align="right" valign="top">3.6</td>
<td align="right" valign="top">33</td>
<td align="right" valign="top">73</td></tr>
<tr>
<td align="right" valign="top">6</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">3&#x0002B;5&#x0003D;8</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">5.9</td>
<td align="right" valign="top">61</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">38</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">7</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">15.6</td>
<td align="right" valign="top">66</td>
<td align="right" valign="top">0</td>
<td align="right" valign="top">28</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">8</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">11.5</td>
<td align="right" valign="top">72</td>
<td align="right" valign="top">2.2</td>
<td align="right" valign="top">62</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">9</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">8.0</td>
<td align="right" valign="top">64</td>
<td align="right" valign="top">1.5</td>
<td align="right" valign="top">19</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">10</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">12.9</td>
<td align="right" valign="top">69</td>
<td align="right" valign="top">5.9</td>
<td align="right" valign="top">24</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">11</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">10.4</td>
<td align="right" valign="top">61</td>
<td align="right" valign="top">0.4</td>
<td align="right" valign="top">28</td>
<td align="right" valign="top">8</td></tr>
<tr>
<td align="right" valign="top">12</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">4.2</td>
<td align="right" valign="top">72</td>
<td align="right" valign="top">6.3</td>
<td align="right" valign="top">38</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">13</td>
<td align="center" valign="top">Positive</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">5.1</td>
<td align="right" valign="top">60</td>
<td align="right" valign="top">0.2</td>
<td align="right" valign="top">28</td>
<td align="right" valign="top">42</td></tr>
<tr>
<td align="right" valign="top">14</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;5&#x0003D;9</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">4.9</td>
<td align="right" valign="top">72</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">58</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">15</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;5&#x0003D;9</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">12.1</td>
<td align="right" valign="top">68</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">33</td>
<td align="right" valign="top">85</td></tr>
<tr>
<td align="right" valign="top">16</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;4&#x0003D;8</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">35.8</td>
<td align="right" valign="top">77</td>
<td align="right" valign="top">6.7</td>
<td align="right" valign="top">24</td>
<td align="right" valign="top">35</td></tr>
<tr>
<td align="right" valign="top">17</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;4&#x0003D;8</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">9.4</td>
<td align="right" valign="top">69</td>
<td align="right" valign="top">2.8</td>
<td align="right" valign="top">18</td>
<td align="right" valign="top">83</td></tr>
<tr>
<td align="right" valign="top">18</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;5&#x0003D;8</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">6.2</td>
<td align="right" valign="top">60</td>
<td align="right" valign="top">4.6</td>
<td align="right" valign="top">18</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">19</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">17.0</td>
<td align="right" valign="top">51</td>
<td align="right" valign="top">0.9</td>
<td align="right" valign="top">20</td>
<td align="right" valign="top">60</td></tr>
<tr>
<td align="right" valign="top">20</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">13.3</td>
<td align="right" valign="top">73</td>
<td align="right" valign="top">1.9</td>
<td align="right" valign="top">33</td>
<td align="right" valign="top">55</td></tr>
<tr>
<td align="right" valign="top">21</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">13.1</td>
<td align="right" valign="top">63</td>
<td align="right" valign="top">2.1</td>
<td align="right" valign="top">24</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">22</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">5.7</td>
<td align="right" valign="top">64</td>
<td align="right" valign="top">3.8</td>
<td align="right" valign="top">16</td>
<td align="right" valign="top">75</td></tr>
<tr>
<td align="right" valign="top">23</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">5.1</td>
<td align="right" valign="top">57</td>
<td align="right" valign="top">3.1</td>
<td align="right" valign="top">32</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">24</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">3.7</td>
<td align="right" valign="top">61</td>
<td align="right" valign="top">0.2</td>
<td align="right" valign="top">20</td>
<td align="right" valign="top">11</td></tr>
<tr>
<td align="right" valign="top">25</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">11.8</td>
<td align="right" valign="top">71</td>
<td align="right" valign="top">2.5</td>
<td align="right" valign="top">28</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">26</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">10.5</td>
<td align="right" valign="top">67</td>
<td align="right" valign="top">0.6</td>
<td align="right" valign="top">29</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">27</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">6.2</td>
<td align="right" valign="top">59</td>
<td align="right" valign="top">0</td>
<td align="right" valign="top">30</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">28</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">5.9</td>
<td align="right" valign="top">65</td>
<td align="right" valign="top">0.4</td>
<td align="right" valign="top">15</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">29</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">2.3</td>
<td align="right" valign="top">61</td>
<td align="right" valign="top">0.7</td>
<td align="right" valign="top">31</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">30</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">15.2</td>
<td align="right" valign="top">62</td>
<td align="right" valign="top">0</td>
<td align="right" valign="top">31</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">31</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">8.9</td>
<td align="right" valign="top">51</td>
<td align="right" valign="top">0.2</td>
<td align="right" valign="top">21</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">32</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">8.8</td>
<td align="right" valign="top">75</td>
<td align="right" valign="top">1.1</td>
<td align="right" valign="top">16</td>
<td align="right" valign="top">63</td></tr>
<tr>
<td align="right" valign="top">33</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">8.6</td>
<td align="right" valign="top">73</td>
<td align="right" valign="top">5.4</td>
<td align="right" valign="top">33</td>
<td align="right" valign="top">44</td></tr>
<tr>
<td align="right" valign="top">34</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">8.6</td>
<td align="right" valign="top">58</td>
<td align="right" valign="top">0.5</td>
<td align="right" valign="top">18</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">35</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">8.5</td>
<td align="right" valign="top">73</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">30</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">36</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">7.0</td>
<td align="right" valign="top">54</td>
<td align="right" valign="top">2</td>
<td align="right" valign="top">32</td>
<td align="right" valign="top">100</td></tr>
<tr>
<td align="right" valign="top">37</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">5.5</td>
<td align="right" valign="top">66</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">21</td>
<td align="right" valign="top">12</td></tr>
<tr>
<td align="right" valign="top">38</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">4.2</td>
<td align="right" valign="top">72</td>
<td align="right" valign="top">1</td>
<td align="right" valign="top">57</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">39</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">1</td>
<td align="right" valign="top">5.3</td>
<td align="right" valign="top">75</td>
<td align="right" valign="top">0.8</td>
<td align="right" valign="top">17</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">40</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">11.5</td>
<td align="right" valign="top">64</td>
<td align="right" valign="top">0</td>
<td align="right" valign="top">16</td>
<td align="right" valign="top">47</td></tr>
<tr>
<td align="right" valign="top">41</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">11.0</td>
<td align="right" valign="top">65</td>
<td align="right" valign="top">0.2</td>
<td align="right" valign="top">27</td>
<td align="right" valign="top">15</td></tr>
<tr>
<td align="right" valign="top">42</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">10.3</td>
<td align="right" valign="top">59</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">16</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">43</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">7.2</td>
<td align="right" valign="top">66</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">18</td>
<td align="right" valign="top">75</td></tr>
<tr>
<td align="right" valign="top">44</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">3</td>
<td align="right" valign="top">1.7</td>
<td align="right" valign="top">74</td>
<td align="right" valign="top">8.2</td>
<td align="right" valign="top">13</td>
<td align="right" valign="top">88</td></tr>
<tr>
<td align="right" valign="top">45</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">24.5</td>
<td align="right" valign="top">68</td>
<td align="right" valign="top">1.4</td>
<td align="right" valign="top">17</td>
<td align="right" valign="top">67</td></tr>
<tr>
<td align="right" valign="top">46</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">5.8</td>
<td align="right" valign="top">66</td>
<td align="right" valign="top">3.4</td>
<td align="right" valign="top">21</td>
<td align="right" valign="top">67</td></tr>
<tr>
<td align="right" valign="top">47</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">5.7</td>
<td align="right" valign="top">74</td>
<td align="right" valign="top">1</td>
<td align="right" valign="top">22</td>
<td align="right" valign="top">44</td></tr>
<tr>
<td align="right" valign="top">48</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">4.5</td>
<td align="right" valign="top">63</td>
<td align="right" valign="top">0</td>
<td align="right" valign="top">31</td>
<td align="right" valign="top">27</td></tr>
<tr>
<td align="right" valign="top">49</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">4.1</td>
<td align="right" valign="top">73</td>
<td align="right" valign="top">3.6</td>
<td align="right" valign="top">17</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">50</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">4.1</td>
<td align="right" valign="top">72</td>
<td align="right" valign="top">0.5</td>
<td align="right" valign="top">30</td>
<td align="right" valign="top">10</td></tr>
<tr>
<td align="right" valign="top">51</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">3.8</td>
<td align="right" valign="top">68</td>
<td align="right" valign="top">0.7</td>
<td align="right" valign="top">39</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">52</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">2</td>
<td align="right" valign="top">3.8</td>
<td align="right" valign="top">61</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">25</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">53</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">1</td>
<td align="right" valign="top">8.1</td>
<td align="right" valign="top">61</td>
<td align="right" valign="top">0.4</td>
<td align="right" valign="top">15</td>
<td align="right" valign="top">0</td></tr>
<tr>
<td align="right" valign="top">54</td>
<td align="center" valign="top">Negative</td>
<td align="center" valign="top">3&#x0002B;3&#x0003D;6</td>
<td align="center" valign="top">1</td>
<td align="right" valign="top">4.0</td>
<td align="right" valign="top">63</td>
<td align="right" valign="top">0.1</td>
<td align="right" valign="top">14</td>
<td align="right" valign="top">0</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-mco-01-02-0274">
<p>LAT1, L-type amino acid transporter 1; pStage, pathological stage; PSA, prostate-specific antigen; LI, labeling index; MVD, microvessel density; VEGF, vascular endothelial growth factor.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t2-mco-01-02-0274" position="float">
<label>Table II</label>
<caption>
<p>Associations between LAT1 expression and clinicopathological parameters in patients with prostate cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variables</th>
<th align="center" valign="middle">LAT1-positive</th>
<th align="center" valign="middle">LAT1-negative</th>
<th align="center" valign="middle">P-value</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Gleason score</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02265;8 and 4&#x0002B;3&#x0003D;7</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">&#x0003C;0.01</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;6 and 3&#x0002B;4&#x0003D;7</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Pathological stage</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02265;III</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">0.059</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;II</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Age (years) (cut-off: 65.5 years)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02265;66</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">0.75</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;65</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Median/range</td>
<td align="center" valign="top">64/60&#x02013;74</td>
<td align="center" valign="top">66/51&#x02013;77</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Serum PSA (ng/ml) (cut-off: 10 ng/ml)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x0003E;10</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">0.92</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;10</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Median/range</td>
<td align="center" valign="top">6.7/4.2&#x02013;15.6</td>
<td align="center" valign="top">7.0/1.7&#x02013;35.8</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Ki-67 labeling index (&#x00025;) (cut-off: 1.0&#x00025;)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x0003E;1.0</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">0.27</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;1.0</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Median/range</td>
<td align="center" valign="top">1.5/0.0&#x02013;9.1</td>
<td align="center" valign="top">0.7/0.0&#x02013;8.2</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">MVD by CD34-positivity (cut-off: MVD 24.5)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02265;MVD 25</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">0.12</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;MVD 24</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Median/range</td>
<td align="center" valign="top">28/12&#x02013;62</td>
<td align="center" valign="top">22/13&#x02013;58</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">VEGF (&#x00025;) (cut-off: 31.5&#x00025;)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02265;32</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">0.75</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;31</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003; Median/range</td>
<td align="center" valign="top">42/0.0&#x02013;100</td>
<td align="center" valign="top">27/0.0&#x02013;100</td>
<td align="center" valign="top"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-mco-01-02-0274">
<p>LAT1, L-type amino acid transporter 1; PSA, prostate-specific antigen; MVD, microvessel density; VEGF, vascular endothelial growth factor.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t3-mco-01-02-0274" position="float">
<label>Table III</label>
<caption>
<p>Associations between Gleason score and clinicopathological parameters in patients with prostate cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variables</th>
<th align="center" valign="middle">GS&#x02265;8 or 4&#x0002B;3&#x0003D;7</th>
<th align="center" valign="middle">GS&#x02264;6 or 3&#x0002B;4&#x0003D;7</th>
<th align="center" valign="middle">P-value</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">LAT1</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Positive</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">&#x0003C;0.01</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Negative</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Pathological stage</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02265;III</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">&#x0003C;0.01</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;II</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Age (years) (cut-off: 65.5 years)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02265;66</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">1.00</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;65</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Median/range</td>
<td align="center" valign="top">65.0/51&#x02013;77</td>
<td align="center" valign="top">65.5/51&#x02013;75</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Serum PSA (ng/ml) (cut-off: 10 ng/ml)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x0003E;10</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">0.051</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;10</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Median/range</td>
<td align="center" valign="top">8.5/3.7&#x02013;35.8</td>
<td align="center" valign="top">5.9/1.7&#x02013;24.5</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Ki-67 labeling index (&#x00025;) (cut-off: 1.0&#x00025;)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x0003E;1.0</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">0.016</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;1.0</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Median/range</td>
<td align="center" valign="top">1.85/0.0&#x02013;9.1</td>
<td align="center" valign="top">0.45/0.0&#x02013;8.2</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">MVD by CD34-positivity (cut-off: MVD 24.5)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02265;MVD 25</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">0.28</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;MVD 24</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Median/range</td>
<td align="center" valign="top">28/12&#x02013;62</td>
<td align="center" valign="top">21/13&#x02013;57</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">VEGF (&#x00025;) (cut-off: 31.5&#x00025;)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02265;32</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">0.28</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;&#x02264;31</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Median/range</td>
<td align="center" valign="top">57.5/0.0&#x02013;100</td>
<td align="center" valign="top">13.5/0.0&#x02013;100</td>
<td align="center" valign="top"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-mco-01-02-0274">
<p>GS, Gleason score; LAT1, L-type amino acid transporter 1; PSA, prostate-specific antigen; MVD, microvessel density; VEGF, vascular endothelial growth factor.</p></fn></table-wrap-foot></table-wrap></sec></back></article>
