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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">MCO</journal-id>
<journal-title-group>
<journal-title>Molecular and Clinical Oncology</journal-title>
</journal-title-group>
<issn pub-type="ppub">2049-9450</issn>
<issn pub-type="epub">2049-9469</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mco.2017.1223</article-id>
<article-id pub-id-type="publisher-id">MCO-0-0-1223</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Body mass index as a classifier to predict biochemical recurrence after radical prostatectomy in patients with lower prostate-specific antigen levels</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Goto</surname><given-names>Keisuke</given-names></name>
<xref rid="af1-mco-0-0-1223" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Nagamatsu</surname><given-names>Hirotaka</given-names></name>
<xref rid="af1-mco-0-0-1223" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Teishima</surname><given-names>Jun</given-names></name>
<xref rid="af1-mco-0-0-1223" ref-type="aff">1</xref>
<xref rid="c1-mco-0-0-1223" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Kohada</surname><given-names>Yuki</given-names></name>
<xref rid="af1-mco-0-0-1223" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Fujii</surname><given-names>Shinsuke</given-names></name>
<xref rid="af1-mco-0-0-1223" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Kurimura</surname><given-names>Yoshimasa</given-names></name>
<xref rid="af1-mco-0-0-1223" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Mita</surname><given-names>Koji</given-names></name>
<xref rid="af2-mco-0-0-1223" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Shigeta</surname><given-names>Masanobu</given-names></name>
<xref rid="af3-mco-0-0-1223" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Maruyama</surname><given-names>Satoshi</given-names></name>
<xref rid="af4-mco-0-0-1223" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Inoue</surname><given-names>Yoji</given-names></name>
<xref rid="af5-mco-0-0-1223" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Nakahara</surname><given-names>Mitsuru</given-names></name>
<xref rid="af6-mco-0-0-1223" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author"><name><surname>Matsubara</surname><given-names>Akio</given-names></name>
<xref rid="af1-mco-0-0-1223" ref-type="aff">1</xref></contrib>
</contrib-group>
<aff id="af1-mco-0-0-1223"><label>1</label>Department of Urology, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima 734-8551, Japan</aff>
<aff id="af2-mco-0-0-1223"><label>2</label>Department of Urology, Hiroshima City Asa Hospital, Hiroshima 731-0293, Japan</aff>
<aff id="af3-mco-0-0-1223"><label>3</label>Department of Urology, Kure Medical Center, Chugoku Cancer Center, Kure, Hiroshima 737-0023, Japan</aff>
<aff id="af4-mco-0-0-1223"><label>4</label>Department of Urology, Hiroshima General Hospital, Hatsukaichi, Hiroshima 738-8503, Japan</aff>
<aff id="af5-mco-0-0-1223"><label>5</label>Department of Urology, Mazda Hospital, Fuchu, Hiroshima 735-8585, Japan</aff>
<aff id="af6-mco-0-0-1223"><label>6</label>Department of Urology, Hiroshima Prefectural Hospital, Hiroshima 734-8530, Japan</aff>
<author-notes>
<corresp id="c1-mco-0-0-1223"><italic>Correspondence to</italic>: Dr Jun Teishima, Department of Urology, Hiroshima University Institute of Biomedical and Health Sciences, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan, E-mail: <email>teishima@hiroshima-u.ac.jp</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>05</month>
<year>2017</year></pub-date>
<pub-date pub-type="epub">
<day>10</day>
<month>04</month>
<year>2017</year></pub-date>
<volume>6</volume>
<issue>5</issue>
<fpage>748</fpage>
<lpage>752</lpage>
<history>
<date date-type="received"><day>15</day><month>10</month><year>2016</year></date>
<date date-type="accepted"><day>10</day><month>01</month><year>2017</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017, Spandidos Publications</copyright-statement>
<copyright-year>2017</copyright-year>
</permissions>
<abstract>
<p>Prostate cancer, one of the most common malignant tumors among men, is closely associated with obesity and, thus far, several studies have suggested the association between obesity and aggressive pathological characteristics in the United States. However, the effect of obesity on prostate cancer mortality is controversial, and it remains unclear whether obesity contributes to the aggressiveness of prostate cancer in Asian patients. The aim of the present study was to investigate the association between body mass index (BMI) and the clinicopathological characteristics of prostate cancer in 2,003 Japanese patients who underwent radical prostatectomy. There was a significant association between higher BMI and higher Gleason score (GS). The multivariate analysis also revealed that BMI was an independent indicator for GS &#x2265;8 at surgery. Moreover, among patients with lower prostate-specific antigen levels, biochemical recurrence-free survival was significantly worse in those with higher BMI. These results suggest that BMI may be a classifier for predicting adverse pathological findings and biochemical recurrence after radical prostatectomy in Japanese patients.</p>
</abstract>
<kwd-group>
<kwd>body mass index</kwd>
<kwd>obesity</kwd>
<kwd>prostate cancer</kwd>
<kwd>prostatectomy</kwd>
<kwd>prostate-specific antigen</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Prostate cancer (PCa) is the one of the most common malignant tumors among men in developed countries. Thus far, it has been suggested that diet and other environmental factors may affect the incidence of PCa, as this incidence differs between countries and ethnic populations (<xref rid="b1-mco-0-0-1223" ref-type="bibr">1</xref>). In fact, migration studies showed an increased incidence of PCa in first-generation immigrants to the United States from Japan (<xref rid="b2-mco-0-0-1223" ref-type="bibr">2</xref>). These observations suggest that diet may play an important role in the incidence of PCa (<xref rid="b3-mco-0-0-1223" ref-type="bibr">3</xref>). In addition, several articles have reported various endogenous and exogenous factors that may contribute to PCa (<xref rid="b4-mco-0-0-1223" ref-type="bibr">4</xref>).</p>
<p>Obesity, which is generally measured by body mass index (BMI), is associated with increased mortality for all cancers combined (<xref rid="b5-mco-0-0-1223" ref-type="bibr">5</xref>). Obesity has also been suggested to be a risk factor in prostate cancer as well as breast and colon cancer (<xref rid="b6-mco-0-0-1223" ref-type="bibr">6</xref>,<xref rid="b7-mco-0-0-1223" ref-type="bibr">7</xref>). However, the association of higher BMI with increased PCa incidence remains controversial (<xref rid="b8-mco-0-0-1223" ref-type="bibr">8</xref>). Previous studies presented evidence that obesity was associated with an increased risk of diagnosis of larger tumors, more aggressive disease and PCa-related mortality (<xref rid="b9-mco-0-0-1223" ref-type="bibr">9</xref>,<xref rid="b10-mco-0-0-1223" ref-type="bibr">10</xref>), whereas other studies reported that obesity was not associated with aggressive pathological characteristics (<xref rid="b11-mco-0-0-1223" ref-type="bibr">11</xref>,<xref rid="b12-mco-0-0-1223" ref-type="bibr">12</xref>). As regards biochemical recurrence, it has been reported that obese men are at increased risk of biochemical recurrence (<xref rid="b13-mco-0-0-1223" ref-type="bibr">13</xref>&#x2013;<xref rid="b17-mco-0-0-1223" ref-type="bibr">17</xref>). Recently, obesity has become more prevalent among Asian countries, including Japan. Although obesity in Asian countries is less severe compared with that in western countries, certain studies have suggested an association between BMI and PCa, including pathological characteristics (<xref rid="b18-mco-0-0-1223" ref-type="bibr">18</xref>,<xref rid="b19-mco-0-0-1223" ref-type="bibr">19</xref>). However, the effect of obesity on PCa-related mortality has been controversial, and it remains unclear whether obesity contributes to the aggressiveness of PCa in Asian patients (<xref rid="b20-mco-0-0-1223" ref-type="bibr">20</xref>,<xref rid="b21-mco-0-0-1223" ref-type="bibr">21</xref>). The aim of the present study was to investigate the association between BMI and the clinicopathological characteristics of PCa, and determine whether obesity increases the risk of biochemical recurrence after radical prostatectomy (RP) in Japanese patients.</p>
</sec>
<sec sec-type="subjects|methods">
<title>Patients and methods</title>
<sec>
<title/>
<sec>
<title>Patients</title>
<p>The subjects included 2003 Japanese patients with PCa who were treated with RP between 2005 and 2014 at Hiroshima University Hospital and affiliated hospitals. None of the patients had a history of preoperative hormonal or radiation therapy. Resection was considered to be curative in all patients based on node-negative pathology and a decrease in the serum level of prostate-specific antigen (PSA) postoperatively. The clinical records of these patients were retrospectively reviewed to investigate clinical information including age, serum PSA level, BMI and pathological characteristics. Staging was based on the 2005 TNM classification (<uri xlink:href="https://www.nccn.org/professionals/physician_gls/pdf/prostate.pdf">https://www.nccn.org/professionals/physician_gls/pdf/prostate.pdf</uri>). Gleason score (GS) was assessed according to the International Society of Urological Pathology modified Gleason grading system (<xref rid="b22-mco-0-0-1223" ref-type="bibr">22</xref>). BMI was calculated as body weight divided by the square of the height (kg/m<sup>2</sup>) and was used to categorize patients into two groups according to the classification of obesity of the Japan Society for the Study of Obesity (<uri xlink:href="http://www.jasso.or.jp/data/office/pdf/guideline.pdf">http://www.jasso.or.jp/data/office/pdf/guideline.pdf</uri>). Patients with BMI &#x003C;25 kg/m<sup>2</sup> were considered as the normoweight group, whereas those with BMI &#x2265;25 kg/m<sup>2</sup> were considered as the overweight group. The associations between the two BMI groups and clinicopathological characteristics were examined. For the evaluation of prognosis, the serum PSA level was measured every 3 months after RP and biochemical recurrence was defined as an increase in the serum PSA level of &#x003E;0.2 ng/ml over two subsequent measurements.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Associations between BMI and clinicopathological characteristics were analyzed using the Chi-squared test. Age (&#x2265;70 vs. &#x003C;70 years) and serum PSA level (&#x2265;10 vs. &#x003C;10 ng/ml) were treated as categorical variables for all analyses. Logistic regression models were used to predict the risk for high-grade (GS &#x2265;8) tumors at RP. Kaplan-Meier survival curves were constructed for the normoweight and overweight groups. Biochemical recurrence-free survival (bRFS) was compared between the normoweight and overweight groups and evaluated for statistical significance using a log-rank test. Univariate and multivariate Cox regression analyses were used to evaluate the associations between clinical covariates and bRFS. Hazard ratio and 95&#x0025; confidence intervals were estimated with Cox proportional hazard models. All statistical tests were two-sided and a P-value of &#x003C;0.05 was considered to indicate statistically significant differences. All statistical analyses were performed using JMP v10.0 software (SAS Institute, Cary, NC, USA) and the Kaplan-Meier survival curves were drawn using GraphPad Prizm v6.0 software (GraphPad Software Inc., San Diego, CA, USA).</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>BMI is associated with higher GS</title>
<p>The median age of the patients was 68 years (range, 45&#x2013;83 years), the PSA level was 7.50 ng/ml (range, 1&#x2013;120 ng/ml) and the BMI was 23.50 kg/m<sup>2</sup> (range, 15.9&#x2013;38.0 kg/m<sup>2</sup>). The pathological GS was &#x2265;8 in 537 patients (26.8&#x0025;), with extraprostatic extension (EPE) and a positive resection margin (RM) observed in 432 (21.6&#x0025;) and 554 (27.6&#x0025;) patients, respectively. Based on the BMI distribution, 569 patients (28.4&#x0025;) comprised the overweight group (BMI &#x2265;25 kg/m<sup>2</sup>), and 1,434 patients (71.6&#x0025;) comprised the normoweight group (BMI &#x003C;25 kg/m<sup>2</sup>). The BMI exhibited a normal distribution. Only 33 patients (1.6&#x0025;) had a BMI &#x003E;30 kg/m<sup>2</sup>. When comparing the clinicopathological characteristics between the normoweight and overweight groups (<xref rid="tI-mco-0-0-1223" ref-type="table">Table I</xref>), no significant differences were observed in age (&#x2265;70 years), PSA (&#x2265;10 ng/ml), pathological T stage (&#x2265;T3), EPE and RM.</p>
<p>However, the number of patients with pathological GS &#x2265;8 was higher in the overweight group (P=0.0308, Chi-squared test). Logistic regression analysis was next performed to evaluate whether BMI may be a predictor for PCa with higher GS (<xref rid="tII-mco-0-0-1223" ref-type="table">Table II</xref>). The univariate analysis revealed that age (&#x2265;70 years), PSA (&#x2265;10 ng/ml), GS at biopsy (&#x2265;4&#x002B;3) and BMI (&#x2265;25 kg/m<sup>2</sup>) were significantly associated with GS &#x2265;8 at RP. In addition, a multivariate analysis including age, PSA, GS at biopsy and BMI also revealed that PSA, GS at biopsy and BMI were independent indicators for GS &#x2265;8 at RP. These results suggest that obesity may be associated with adverse pathological findings of PCa.</p>
</sec>
<sec>
<title>BMI is a predictor of the prognosis of PCa at lower PSA levels</title>
<p>The median follow-up period of this study was 34 months (range, 0&#x2013;108 months). Of the 2003 patients, 396 (19.8&#x0025;) experienced biochemical recurrence, including 283 of the 1,434 (19.7&#x0025;) in the normoweight group and 113 of the 569 (19.9&#x0025;) in the overweight group. Kaplan-Meier analysis was used to evaluate the association of BMI with biochemical recurrence. When evaluated in all 2003 cases, there was no significant difference between bRFS in the normoweight vs. the overweight group (<xref rid="f1-mco-0-0-1223" ref-type="fig">Fig. 1A</xref>). In patients with lower PSA levels (&#x003C;10 ng/ml), the overweight group exhibited a significantly worse prognosis compared with the normoweight group (P=0.0179, log-rank test, <xref rid="f1-mco-0-0-1223" ref-type="fig">Fig. 1B</xref>). However, no significant difference was observed in patients with higher PSA levels (&#x003E;10 ng/ml, <xref rid="f1-mco-0-0-1223" ref-type="fig">Fig. 1C</xref>).</p>
<p>Univariate and multivariate Cox proportional hazards analyses were next performed to evaluate the role of BMI as a predictor of bRFS in patients with PSA&#x003C;10 ng/ml (<xref rid="tIII-mco-0-0-1223" ref-type="table">Table III</xref>). The univariate analysis indicated that pathological stage T3, GS &#x2265;8, EPE1, RM1 and BMI &#x003E;25 kg/m<sup>2</sup> were significantly associated with bRFS, whereas age was not. The multivariate model, which included pT stage, GS, EPE, RM and BMI, revealed that BMI was not an independent predictor of bRFS, whereas pT3, GS &#x2265;8 and RM1 were.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The association between BMI and the clinicopathological characteristics was investigated in 2003 Japanese patients with PCa who underwent RP. First, it was demonstrated that high BMI was associated with adverse pathological findings. These results, supported those of previous studies showing that obese men in the United States who underwent RP had higher-grade and larger tumors (<xref rid="b8-mco-0-0-1223" ref-type="bibr">8</xref>,<xref rid="b10-mco-0-0-1223" ref-type="bibr">10</xref>,<xref rid="b13-mco-0-0-1223" ref-type="bibr">13</xref>&#x2013;<xref rid="b17-mco-0-0-1223" ref-type="bibr">17</xref>). In Asian patients, the adverse pathological findings of PCa may be attributable to obesity according to previous reports (<xref rid="b18-mco-0-0-1223" ref-type="bibr">18</xref>,<xref rid="b19-mco-0-0-1223" ref-type="bibr">19</xref>).</p>
<p>However, other reports have not demonstrated any association of obesity with the clinicopathological characteristics of PCa (<xref rid="b20-mco-0-0-1223" ref-type="bibr">20</xref>,<xref rid="b21-mco-0-0-1223" ref-type="bibr">21</xref>). Such conflicting results may be explained by the different distribution of BMI among countries. As the obese (BMI &#x2265;30 kg/m<sup>2</sup>) population accounted for only 1&#x2013;2&#x0025; of the cases in reports from Asian countries, the cutoff for normal BMI is variably classified as 23.5 or 25.0 kg/m<sup>2</sup>. In the present study, a significant association of BMI with GS was observed, whereas such an association was not observed for serum PSA level, pT stage, EPE and RM. These results may suggest that a higher BMI was associated with more aggressive phenotypes of PCa.</p>
<p>Although there was no significant association between BMI and serum PSA level (<xref rid="tI-mco-0-0-1223" ref-type="table">Table I</xref>), the overweight group exhibited a greater risk of biochemical recurrence in patients with lower PSA levels (<xref rid="f1-mco-0-0-1223" ref-type="fig">Fig. 1B</xref>). Indeed, previous studies reported that BMI is inversely associated with serum PSA levels (<xref rid="b23-mco-0-0-1223" ref-type="bibr">23</xref>,<xref rid="b24-mco-0-0-1223" ref-type="bibr">24</xref>), and a higher BMI is associated with higher plasma volume (<xref rid="b25-mco-0-0-1223" ref-type="bibr">25</xref>). Thus, the reason why obese men have lower serum PSA concentrations may be explained by the hemodilution theory (<xref rid="b26-mco-0-0-1223" ref-type="bibr">26</xref>,<xref rid="b27-mco-0-0-1223" ref-type="bibr">27</xref>). Therefore, it is possible that the serum PSA levels may be modified in the overweight group. However, in the multivariate analysis, BMI was not an independent predictor of biochemical recurrence. Recently, PSA mass, which was associated with visceral adipose tissue, was suggested to be a promising indicator for determining an absolute PSA level (<xref rid="b28-mco-0-0-1223" ref-type="bibr">28</xref>).</p>
<p>Previous studies have also demonstrated an association between obesity and the aggressiveness of PCa through various molecular mechanisms, including oxidative stress, endocrine activities, or other cytokine activities (<xref rid="b29-mco-0-0-1223" ref-type="bibr">29</xref>). It is known that adipose tissue secretes certain inflammatory cytokines, referred to as adipocytokines (<xref rid="b30-mco-0-0-1223" ref-type="bibr">30</xref>). In addition, we previously reported a positive correlation between the aggressiveness of PCa and fibroblast growth factor (FGF)-19, including the endocrine FGF subfamily that circulates in the serum and acts in an endocrine-like manner (<xref rid="b31-mco-0-0-1223" ref-type="bibr">31</xref>). Further investigations are required to elucidate the associations between BMI or obesity and PSA levels.</p>
<p>The present study had certain limitations. First, the median follow-up period for establishing biochemical recurrence after RP was relatively short. Second, this was a retrospective study that involved patients subjected to RP using different procedures by several surgeons, although the oncological outcomes of retropubic, retroperitoneal, laparoscopic and robot-assisted laparoscopic RP were comparable (<xref rid="b32-mco-0-0-1223" ref-type="bibr">32</xref>,<xref rid="b33-mco-0-0-1223" ref-type="bibr">33</xref>). Third, we investigated whether obesity affects pathological findings and biological recurrence after RP using only preoperative BMI, as postoperative BMI values were not available. Although it remains unclear whether weight loss may help improve outcomes among patients already diagnosed with PCa, further investigations are required to elucidate the role of BMI post-RP.</p>
<p>In summary, the results of the present study, including 2003 Japanese patients who underwent RP for PCa, provide evidence that a higher BMI may be associated with adverse pathological findings. Although BMI was not an independent predictor for bRFS after RP, BMI may be associated with more aggressive characteristics of PCa.</p>
</sec>
</body>
<back>
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</back>
<floats-group>
<fig id="f1-mco-0-0-1223" position="float">
<label>Figure 1.</label>
<caption><p>Biochemical recurrence-free survival after radical prostatectomy in (A) 2,003 patients with PCa, (B) 1,327 patients with serum PSA &#x003C;10 ng/ml and (C) 676 patiens with serum PSA &#x2265;10 ng/ml. Statistical significance was evaluated using the log-rank test. PCa, prostate cancer; PSA, prostate-specific antigen.</p></caption>
<graphic xlink:href="mco-06-05-0748-g00.jpg"/>
</fig>
<table-wrap id="tI-mco-0-0-1223" position="float">
<label>Table I.</label>
<caption><p>Associations between BMI and clinicopathological characteristics of prostate cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">BMI (kg/m<sup>2</sup>)</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Parameters</th>
<th align="center" valign="bottom">&#x003C;25, n (&#x0025;)</th>
<th align="center" valign="bottom">&#x2265;25, n (&#x0025;)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Operative approach</td>
<td/>
<td/>
<td align="center" valign="top">0.2705</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;RRP</td>
<td align="center" valign="top">533 (73.6)</td>
<td align="center" valign="top">191 (26.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;RPP</td>
<td align="center" valign="top">95 (70.9)</td>
<td align="center" valign="top">39 (29.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;LRP</td>
<td align="center" valign="top">587 (69.4)</td>
<td align="center" valign="top">259 (30.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;RALP</td>
<td align="center" valign="top">219 (73.2)</td>
<td align="center" valign="top">80 (26.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td align="center" valign="top">0.1379</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;70</td>
<td align="center" valign="top">836 (72.9)</td>
<td align="center" valign="top">311 (27.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;70</td>
<td align="center" valign="top">598 (69.8)</td>
<td align="center" valign="top">258 (30.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">PSA (ng/ml)</td>
<td/>
<td/>
<td align="center" valign="top">0.4603</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;10</td>
<td align="center" valign="top">943 (71.1)</td>
<td align="center" valign="top">384 (28.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;10</td>
<td align="center" valign="top">491 (72.6)</td>
<td align="center" valign="top">185 (27.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">pT stage</td>
<td/>
<td/>
<td align="center" valign="top">0.2943</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T2</td>
<td align="center" valign="top">1,120 (72.6)</td>
<td align="center" valign="top">432 (27.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T3</td>
<td align="center" valign="top">314 (69.6)</td>
<td align="center" valign="top">137 (30.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">GS</td>
<td/>
<td/>
<td align="center" valign="top">0.0308</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;7</td>
<td align="center" valign="top">1,069 (72.9)</td>
<td align="center" valign="top">397 (27.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;8</td>
<td align="center" valign="top">365 (68.0)</td>
<td align="center" valign="top">172 (32.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">EPE</td>
<td/>
<td/>
<td align="center" valign="top">0.2182</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;EPE0</td>
<td align="center" valign="top">1,135 (72.3)</td>
<td align="center" valign="top">436 (27.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;EPE1</td>
<td align="center" valign="top">299 (69.2)</td>
<td align="center" valign="top">133 (30.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">RM</td>
<td/>
<td/>
<td align="center" valign="top">0.1999</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;RM0</td>
<td align="center" valign="top">1,049 (72.4)</td>
<td align="center" valign="top">400 (27.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;RM1</td>
<td align="center" valign="top">385 (69.5)</td>
<td align="center" valign="top">169 (30.5)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-mco-0-0-1223"><p>BMI, body mass index; LRP, laparoscopic radical prostatectomy; RALP, robot-assisted laparoscopic radical prostatectomy; RPP, retroperineal radical prostatectomy; RRP, retropubic radical prostatectomy; GS, Gleason score; EPE, extraprostatic extension; RM, resection margin.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-mco-0-0-1223" position="float">
<label>Table II.</label>
<caption><p>Univariate and multivariate logistic regression models to predict tumors with GS &#x2265;8.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3">Univariate analysis</th>
<th align="center" valign="bottom" colspan="3">Multivariate analysis</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3"><hr/></th>
<th align="center" valign="bottom" colspan="3"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Parameters</th>
<th align="center" valign="bottom">OR</th>
<th align="center" valign="bottom">95&#x0025; CI</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">OR</th>
<th align="center" valign="bottom">95&#x0025; CI</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;70</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;70</td>
<td align="center" valign="top">1.301</td>
<td align="center" valign="top">1.067&#x2013;1.588</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.0095</td>
<td align="center" valign="top">1.208</td>
<td align="center" valign="top">0.970&#x2013;1.506</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.0913</td>
</tr>
<tr>
<td align="left" valign="top">PSA (ng/ml)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;10</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;10</td>
<td align="center" valign="top">2.698</td>
<td align="center" valign="top">2.200&#x2013;3.311</td>
<td align="center" valign="top">&#x003C;0.0001</td>
<td align="center" valign="top">2.180</td>
<td align="center" valign="top">1.747&#x2013;2.722</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">GS (at biopsy)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;3&#x002B;4</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;4&#x002B;3</td>
<td align="center" valign="top">6.784</td>
<td align="center" valign="top">5.418&#x2013;8.544</td>
<td align="center" valign="top">&#x003C;0.0001</td>
<td align="center" valign="top">6.113</td>
<td align="center" valign="top">4.865&#x2013;7.724</td>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">BMI (kg/m<sup>2</sup>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;25</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;25</td>
<td align="center" valign="top">1.269</td>
<td align="center" valign="top">1.022&#x2013;1.571</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.0308</td>
<td align="center" valign="top">1.291</td>
<td align="center" valign="top">1.016&#x2013;1.638</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.0364</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-mco-0-0-1223"><p>GS, Gleason score; BMI, body mass index; CI, confidence interval; OR, odds ratio; PSA, prostate-specific antigen.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-mco-0-0-1223" position="float">
<label>Table III.</label>
<caption><p>Univariate and multivariate Cox proportional hazard models for biochemical recurrence after prostatectomy in patients with PSA &#x003C;10 ng/ml.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3">Univariate analysis</th>
<th align="center" valign="bottom" colspan="3">Multivariate analysis</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="3"><hr/></th>
<th align="center" valign="bottom" colspan="3"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Parameters</th>
<th align="center" valign="bottom">HR</th>
<th align="center" valign="bottom">95&#x0025; CI</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">HR</th>
<th align="center" valign="bottom">95&#x0025; CI</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.1715</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.1768</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;70</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;70</td>
<td align="center" valign="top">1.224</td>
<td align="center" valign="top">0.916&#x2013;1.631</td>
<td/>
<td align="center" valign="top">1.222</td>
<td align="center" valign="top">0.913&#x2013;1.631</td>
</tr>
<tr>
<td align="left" valign="top">pT stage</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.0001</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.0330</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T2</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T3</td>
<td align="center" valign="top">3.866</td>
<td align="center" valign="top">2.872&#x2013;5.174</td>
<td/>
<td align="center" valign="top">2.273</td>
<td align="center" valign="top">1.070&#x2013;4.528</td>
</tr>
<tr>
<td align="left" valign="top">GS</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.0001</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;7</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;8</td>
<td align="center" valign="top">3.461</td>
<td align="center" valign="top">2.585&#x2013;4.617</td>
<td/>
<td align="center" valign="top">2.433</td>
<td align="center" valign="top">1.791&#x2013;3.291</td>
</tr>
<tr>
<td align="left" valign="top">EPE</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.0001</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.9371</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;EPE0</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;EPE1</td>
<td align="center" valign="top">3.433</td>
<td align="center" valign="top">2.541&#x2013;4.603</td>
<td/>
<td align="center" valign="top">0.971</td>
<td align="center" valign="top">0.489&#x2013;2.049</td>
</tr>
<tr>
<td align="left" valign="top">RM</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.0001</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;RM0</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;RM1</td>
<td align="center" valign="top">3.926</td>
<td align="center" valign="top">2.946&#x2013;5.235</td>
<td/>
<td align="center" valign="top">2.712</td>
<td align="center" valign="top">1.992&#x2013;3.693</td>
</tr>
<tr>
<td align="left" valign="top">BMI (kg/m<sup>2</sup>)</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.0309</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.4604</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;25</td>
<td align="center" valign="top">1 (Reference)</td>
<td/>
<td/>
<td align="center" valign="top">1 (Reference)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;25</td>
<td align="center" valign="top">1.400</td>
<td align="center" valign="top">1.032&#x2013;1.882</td>
<td/>
<td align="center" valign="top">1.122</td>
<td align="center" valign="top">0.824&#x2013;1.515</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-mco-0-0-1223"><p>BMI, body mass index; CI, confidence interval; HR, hazard ratio; PSA, prostate-specific antigen; GS, Gleason score; EPE, extraprostatic extension; RM, resection margin.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
