<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "journalpublishing3.dtd">
<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2024.14297</article-id>
<article-id pub-id-type="publisher-id">OL-27-4-14297</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Prognostic role of primary tumor size in Wilms tumor</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Kai</given-names></name>
<xref rid="af1-ol-27-4-14297" ref-type="aff">1</xref>
<xref rid="fn1-ol-27-4-14297" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Ke</given-names></name>
<xref rid="af1-ol-27-4-14297" ref-type="aff">1</xref>
<xref rid="fn1-ol-27-4-14297" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Yuan</surname><given-names>Hexing</given-names></name>
<xref rid="af2-ol-27-4-14297" ref-type="aff">2</xref>
<xref rid="c2-ol-27-4-14297" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Fan</surname><given-names>Caibin</given-names></name>
<xref rid="af1-ol-27-4-14297" ref-type="aff">1</xref>
<xref rid="c1-ol-27-4-14297" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-27-4-14297"><label>1</label>Department of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu 215000, P.R. China</aff>
<aff id="af2-ol-27-4-14297"><label>2</label>Department of Urology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215000, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-27-4-14297"><italic>Correspondence to</italic>: Professor Caibin Fan, Department of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, 26 Daoqian Road, Suzhou, Jiangsu 215000, P.R. China, E-mail: <email>furology@163.com </email></corresp>
<corresp id="c2-ol-27-4-14297">Professor Hexing Yuan, Department of Urology, First Affiliated Hospital of Soochow University, 188 Shizi Road, Suzhou, Jiangsu 215000, P.R. China, E-mail: <email>yhxurology@163.com </email></corresp>
<fn id="fn1-ol-27-4-14297"><label>&#x002A;</label><p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection">
<month>04</month>
<year>2024</year></pub-date>
<pub-date pub-type="epub">
<day>19</day>
<month>02</month>
<year>2024</year></pub-date>
<volume>27</volume>
<issue>4</issue>
<elocation-id>164</elocation-id>
<history>
<date date-type="received"><day>26</day><month>08</month><year>2023</year></date>
<date date-type="accepted"><day>15</day><month>12</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Li et al.</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Wilms tumor (WT) is the most common childhood malignant kidney tumor. The aim of the present study was to determine the impact of primary tumor size on the survival of patients with WT. The data of 1,523 patients diagnosed with WT between 2000 and 2017 were retrieved from the Surveillance, Epidemiology, and End Results database. Receiver operating characteristic curves were plotted to determine the optimal cut-off value of primary tumor size. Overall survival (OS) and cancer-specific survival (CSS) were analyzed using the Kaplan-Meier method and the Cox proportional hazards regression model. The optimal cut-off value for primary tumor size was found to be 11.15 cm. No significant difference in the distribution of tumor size was detected between male and female patients. However, lymph node metastasis and distant metastasis were significantly more frequent in patients whose tumor was &#x2265;11.15 cm in size compared with those with smaller tumors. In addition, patients with larger tumors exhibited significantly worse OS and CSS rates compared with those with smaller tumors. Furthermore, primary tumor size was identified as an independent prognostic factor for OS and CSS in the multivariate analyses. In summary, the present study indicates that primary tumor size is an independent prognostic factor for patients with WT, and tumors &#x2265;11.15 cm are associated with worse OS and CSS.</p>
</abstract>
<kwd-group>
<kwd>primary tumor size</kwd>
<kwd>prognosis</kwd>
<kwd>Wilms tumor</kwd>
<kwd>overall survival</kwd>
<kwd>cancer specific survival</kwd>
</kwd-group>
<funding-group>
<award-group>
<funding-source>Suzhou Municipal Health Commission</funding-source>
<award-id>LCZX202010</award-id>
</award-group>
<funding-statement>The study was supported by a grant from Suzhou Municipal Health Commission (grant no. LCZX202010).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Wilms tumor (WT), also known as nephroblastoma, is the most common pediatric malignancy of the kidney (<xref rid="b1-ol-27-4-14297" ref-type="bibr">1</xref>), and originates from poorly differentiated mesenchymal kidney stem cells (<xref rid="b2-ol-27-4-14297" ref-type="bibr">2</xref>). It accounts for &#x003E;90&#x0025; of pediatric renal tumors and 7&#x0025; of all childhood cancers (<xref rid="b3-ol-27-4-14297" ref-type="bibr">3</xref>). In addition, most patients are diagnosed at &#x003C;5 years of age (<xref rid="b4-ol-27-4-14297" ref-type="bibr">4</xref>).</p>
<p>The current treatment strategies for WT include surgery, chemotherapy and radiotherapy. Surgical procedures include upfront nephrectomy as recommended by the Children&#x0027;s Oncology Group and nephrectomy following chemotherapy according to the International Society of Pediatric Oncology guidelines (<xref rid="b5-ol-27-4-14297" ref-type="bibr">5</xref>). The selection of chemotherapy drugs and radiotherapy depends on the risk stratification of the patient (<xref rid="b5-ol-27-4-14297" ref-type="bibr">5</xref>). In the last several decades, the overall survival (OS) of patients with WT has steadily improved in high-income countries and is &#x007E;90&#x0025;, compared with &#x003C;50&#x0025; in low-income countries (<xref rid="b6-ol-27-4-14297" ref-type="bibr">6</xref>).</p>
<p>Several prognostic factors have been identified for WT, such as the tumor volume after preoperative chemotherapy (<xref rid="b7-ol-27-4-14297" ref-type="bibr">7</xref>). However, few studies have reported on the prognostic significance of primary tumor size. Therefore, the aim of the present study was to evaluate the association of primary tumor size with the clinicopathological characteristics and survival of patients with WT.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Study population</title>
<p>The data of 2,443 patients with WT diagnosed between January 2000 and December 2017, inclusively, were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. The cases were filtered according to the following exclusion criteria: i) Incomplete information on primary tumor size and ii) lack of surgery. Based on these criteria, 1,523 eligible cases were selected for inclusion in the present retrospective study.</p>
</sec>
<sec>
<title>Study variables</title>
<p>The covariates for each patient included demographic characteristics, namely age, ethnicity and sex, and clinicopathological characteristics, namely primary tumor size, lymph node status, distant metastasis, the retention or removal of regional lymph nodes and the type of surgery. The main endpoints were OS and cancer-specific survival (CSS). OS was calculated from the date of WT diagnosis to the date of death from any cause or the date of censoring. CSS was calculated from the date of WT diagnosis to the date of death due to this malignancy or the date of censoring (<xref rid="b8-ol-27-4-14297" ref-type="bibr">8</xref>). All patients were followed up until the date of death or until December 31, 2017. The cause of death for each patient was obtained from the death certificate.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>The data were extracted from the SEER database using SEER&#x002A;Stat Software version 8.4.0 (Information Management Services, Inc.). The optimal cut-off point of primary tumor size was determined by receiver operating characteristic (ROC) curve analysis. Chi-square test was used to compare demographic and clinicopathological variables. The Kaplan-Meier method was used to identify the factors that had a significant association with OS and CSS, and to calculate survival probabilities in different groups, and the log-rank test was used to compare survival rates. The significant indicators identified by the Kaplan-Meier analyses were included in a Cox proportional hazards regression model for multivariate analysis. Statistical significance was determined by calculating the hazard ratio (HR) and 95&#x0025; confidence intervals (95&#x0025; CI). Forest plots were drawn using Excel 2019 (Microsoft Corporation). Two-sided P&#x003C;0.05 was considered to indicate a statistically significant result. All statistical analyses were conducted using SPSS 22.0 (IBM Corp.).</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Cut-off point identification of primary tumor size</title>
<p>The area under the curve for primary tumor size in the ROC curve analysis was 0.592 (95&#x0025; CI 0.536&#x2013;0.647), and the optimal cut-off value was 11.15 cm (sensitivity, 59.7&#x0025;; specificity, 55.8&#x0025;; P=0.001; <xref rid="f1-ol-27-4-14297" ref-type="fig">Fig. 1</xref>). A total of 1,523 eligible patients with WT were included in the study, of which 838 (55&#x0025;) patients had a tumor size of &#x003C;11.15 cm and 685 (45&#x0025;) patients had a tumor size of &#x2265;11.15 cm. The median follow-up period was 74 months (range 0&#x2013;167 months). During the time period of the study, 119 (7.8&#x0025;) patients died, and the cause of death was associated with WT for 102 patients.</p>
</sec>
<sec>
<title>Demographic and clinicopathological characteristics</title>
<p>The associations of primary tumor size with demographic and clinicopathological characteristics are summarized in <xref rid="tI-ol-27-4-14297" ref-type="table">Table I</xref>. The analysis revealed a significant association of age and ethnicity with primary tumor size, and indicated that children &#x003C;5 years old (P&#x003C;0.001) and of white ethnicity (P=0.048) were more susceptible to WT. However, no significant difference was found in the prevalence of WT between male and female patients (P=0.718). Moreover, lymph node metastasis (P&#x003C;0.001) and distant metastasis (P&#x003C;0.001) were more frequent in patients with WT and a tumor size of &#x2265;11.15 cm than in those with tumors &#x003C;11.15 cm. In addition, regional lymph node removal (P=0.018) and radical surgery (P&#x003C;0.001) were more frequently performed in patients with larger tumors.</p>
</sec>
<sec>
<title>Kaplan-Meier analyses predicting OS and CSS</title>
<p>As shown in <xref rid="tII-ol-27-4-14297" ref-type="table">Table II</xref>, patients with a tumor size &#x2265;11.5 cm had significantly worse OS and CSS than those with tumor size &#x003C;11.15 cm (P=0.001 and P&#x003C;0.001, respectively). Moreover, significant associations with OS and CSS were also found for age (P=0.002 and P=0.001, respectively), lymph node status (P&#x003C;0.001 for both) and distant metastasis (P&#x003C;0.001 for both). In addition, regional lymph node removal was also significantly associated with OS (P=0.017). These factors were included in a Cox proportional hazards regression model for multivariate analysis.</p>
</sec>
<sec>
<title>Stratified Kaplan-Meier analyses predicting OS and CSS</title>
<p>The stratified Kaplan-Meier analyses revealed that tumor size &#x2265;11.15 cm was significantly associated with worse OS and CSS in the following subgroups: age &#x2265;5 years (P=0.012 and P=0.003, respectively; <xref rid="f2-ol-27-4-14297" ref-type="fig">Fig. 2B and D</xref>), white ethnicity (P=0.005 and P=0.001, respectively; <xref rid="f3-ol-27-4-14297" ref-type="fig">Fig. 3A and D</xref>), male (P&#x003C;0.001 for both; <xref rid="f4-ol-27-4-14297" ref-type="fig">Fig. 4B and D</xref>), no regional lymph node removal (P=0.003 and P&#x003C;0.001, respectively; <xref rid="f5-ol-27-4-14297" ref-type="fig">Fig. 5A and C</xref>), regional lymph node removal (P=0.027 and P=0.016, respectively; <xref rid="f5-ol-27-4-14297" ref-type="fig">Fig. 5B and D</xref>) and radical surgery (P=0.001 and P&#x003C;0.001; <xref rid="f6-ol-27-4-14297" ref-type="fig">Fig. 6B and D</xref>). The results also indicated that tumor size &#x2265;11.15 cm was significantly associated with worse CSS in patients &#x003C;5 years of age (P=0.048; <xref rid="f2-ol-27-4-14297" ref-type="fig">Fig. 2C</xref>), of other ethnicities (P=0.023; <xref rid="f3-ol-27-4-14297" ref-type="fig">Fig. 3F</xref>), and with no distant metastasis (P=0.017; <xref rid="f7-ol-27-4-14297" ref-type="fig">Fig. 7C</xref>). In addition, tumor size &#x2265;11.15 cm was significantly associated with worse OS in patients with lymph node metastasis (P=0.031; <xref rid="f8-ol-27-4-14297" ref-type="fig">Fig. 8B</xref>). Moreover, the removal of regional lymph nodes significantly improved OS (P=0.001; <xref rid="f9-ol-27-4-14297" ref-type="fig">Fig. 9B</xref>) and CSS (P&#x003C;0.001; <xref rid="f9-ol-27-4-14297" ref-type="fig">Fig. 9D</xref>) compared with the retention of regional lymph nodes in patients with tumors &#x2265;11.15 cm in size. By contrast, regional lymph node removal had no impact on the OS (P=0.292; <xref rid="f9-ol-27-4-14297" ref-type="fig">Fig. 9A</xref>) and CSS (P=0.840; <xref rid="f9-ol-27-4-14297" ref-type="fig">Fig. 9C</xref>) of patients with a tumor size of &#x003C;11.15 cm.</p>
</sec>
<sec>
<title>Multivariate analyses of the predictors of OS and CSS</title>
<p>As shown in <xref rid="f10-ol-27-4-14297" ref-type="fig">Figs. 10</xref> and <xref rid="f11-ol-27-4-14297" ref-type="fig">11</xref>, primary tumor size was an independent prognostic factor for OS (HR 1.478, P=0.044) and CSS (HR 1.639, P=0.020). Moreover, lymph node status (P=0.001 and P&#x003C;0.001, respectively) and distant metastasis (P&#x003C;0.001 for both) were also independent predictors for OS and CSS. However, age (HR 1.317, P=0.151 and HR 1.439, P=0.074, respectively) was not significantly associated with OS or CSS, and regional lymph node removal (P=0.131) was not identified as an independent prognostic factor for OS.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Despite advances in treatment strategies and the favorable prognosis of most patients with WT, the mortality rate is still 10&#x0025; (<xref rid="b9-ol-27-4-14297" ref-type="bibr">9</xref>). Poor outcomes have been reported for advanced, bilateral and recurrent WT (<xref rid="b10-ol-27-4-14297" ref-type="bibr">10</xref>). Therefore, it is critical to identify novel prognostic factors for WT to guide the development of individualized treatment strategies. The present retrospective study demonstrated that patients with large WT (tumor size &#x2265;11.15 cm) had worse OS and CSS than those with smaller tumors, and primary tumor size was an independent prognostic factor for OS and CSS.</p>
<p>Consistent with a previous study (<xref rid="b4-ol-27-4-14297" ref-type="bibr">4</xref>), the present study found that WT was more prevalent in children &#x003C;5 years old. In addition, patients of white ethnicity were more susceptible to WT compared with other racial groups. However, previous studies have shown that the incidence of WT varies widely among different ethnic groups, with black and East Asian populations having the highest and lowest incidence rates respectively (<xref rid="b11-ol-27-4-14297" ref-type="bibr">11</xref>,<xref rid="b12-ol-27-4-14297" ref-type="bibr">12</xref>). Moreover, no significant difference in the incidence of WT was observed in the present study in terms of sex. By contrast, Cunningham <italic>et al</italic> (<xref rid="b13-ol-27-4-14297" ref-type="bibr">13</xref>) reported that WT was slightly more prevalent among female patients, with the exception of those in Eastern Asia These discrepancies can be explained by differences in the study populations.</p>
<p>In the present study, patients with WT larger tumors had significantly worse OS and CSS compared with those with smaller tumors, and were also more likely to develop lymph node metastasis. Previous studies have shown that lymph node involvement portends a poor prognosis in WT (<xref rid="b14-ol-27-4-14297" ref-type="bibr">14</xref>&#x2013;<xref rid="b16-ol-27-4-14297" ref-type="bibr">16</xref>). Since the patients with WT and positive lymph nodes had significantly lower 5-year OS and 5-year CSS rates compared with those without lymph node involvement in the Kaplan-Meier analyses, we hypothesize that lymph node metastasis is a key cause of the poor prognosis of patients with large tumors. Indeed, the results of the stratified Kaplan-Meier analyses showed that larger tumors were associated with significantly worse OS among patients with lymph node metastasis, whereas tumor size did not affect the prognosis of patients without lymph node involvement. These results further support this hypothesis.</p>
<p>The present study found that the removal of regional lymph nodes significantly improved OS and CSS in the patients with large tumors, while regional lymph node removal had no effect on the survival of patients with smaller tumors. Thus, it is recommended that regional lymphadenectomy should be considered for patients with WT whose tumor is &#x2265;11.15 cm in size to prolong survival. Consistent with these findings, Zhuge <italic>et al</italic> (<xref rid="b17-ol-27-4-14297" ref-type="bibr">17</xref>) also reported that patients who had not undergone lymph node biopsy had a significantly lower 5-year OS, and the removal of lymph nodes increased the 5-year OS of the patients.</p>
<p>The patients with WT in the present study who had larger tumors were more likely to develop distant metastasis, and distant metastasis was associated with significantly lower 5-year OS and 5-year CSS rates when compared with those for patients without distant metastasis. A previous study also reported a dismal prognosis for patients with WT and distant metastasis (<xref rid="b1-ol-27-4-14297" ref-type="bibr">1</xref>). Moreover, Iaboni <italic>et al</italic> (<xref rid="b18-ol-27-4-14297" ref-type="bibr">18</xref>) found that the 5-year OS rate of patients with WT and bone metastases was only 14.3&#x0025; Thus, distant metastasis is a risk factor in patients with WT who have large tumors.</p>
<p>Reinhard <italic>et al</italic> (<xref rid="b19-ol-27-4-14297" ref-type="bibr">19</xref>) previously reported that a reduction in tumor volume after preoperative chemotherapy was an effective factor for the stratification of WT patients for postoperative treatment. In addition, Provenzi <italic>et al</italic> (<xref rid="b4-ol-27-4-14297" ref-type="bibr">4</xref>) found that the tumor volume after preoperative chemotherapy could independently predict poor prognosis in patients with WT. However, the prognostic significance of the primary tumor size of WT has not been thoroughly studied in previous studies. The present study has demonstrated for the first time, to the best of our knowledge, that primary tumor size is an independent prognostic factor for WT, along with lymph node status and distant metastasis.</p>
<p>Although the type of surgery was not found to be significantly associated with the OS and CSS in the Kaplan-Meier analyses, the curves of the stratified Kaplan-Meier analyses indicated that tumor size &#x003C;11.15 cm was associated with improved OS and CSS in patients with WT who had undergone radical surgery. By contrast, tumor size was shown to have no impact on the OS and CSS of patients who underwent non-radical surgery. Therefore, radical surgery may provide survival benefits for WT patients with a tumor &#x003C;11.15 cm in size.</p>
<p>In a previous study, Bahoush and Saeedi (<xref rid="b20-ol-27-4-14297" ref-type="bibr">20</xref>) showed that sex is not an independent predictor of OS in patients with WT, which is consistent with the findings of the present study. Nevertheless, male patients with smaller tumors had significantly improved OS and CSS rates compared with those with larger tumors, whereas no significant difference was observed between the two tumor-size groups in female patients. Differences in sex hormone levels may be an important reason for this result. Similarly, a previous study showed that orchiectomy or estradiol treatment significantly reduced tumor weight in male WT model rats, while testosterone treatment significantly increased tumor weight in female rats (<xref rid="b21-ol-27-4-14297" ref-type="bibr">21</xref>). Based on these findings, it is recommended that the primary tumor size of male patients with WT should be taken into consideration, in order to provide more effective individualized treatment.</p>
<p>There are several limitations to this retrospective study. Firstly, the SEER database does not include data on adjuvant chemotherapy or comorbidities that may significantly affect survival. In addition, the SEER database does not provide information on whether the patients had undergone pre-operative chemotherapy. Furthermore, all patients included in the study were from the United States. Nevertheless, the present study has shown for the first time that primary tumor size is an independent prognostic factor for WT, which has potential clinical applications.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>Publicly datasets were used in the study and can be found in the SEER database (<uri xlink:href="https://seer.cancer.gov/">https://seer.cancer.gov/</uri>).</p>
</sec>
<sec>
<title>Author&#x0027;s contributions</title>
<p>KL, HXY and CBF conceived and designed the study. KL and KZ collected and analyzed the data. KL, HXY and CBF wrote the manuscript. All authors read and approved the final version of the manuscript. KL and CBF confirm the authenticity of all the raw data.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>Institutional review board approval and informed consent from patients are not required for the study of data from the SEER database, as it is a de-identified public-use database.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="b1-ol-27-4-14297"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname><given-names>Y</given-names></name><name><surname>Zhang</surname><given-names>W</given-names></name><name><surname>Song</surname><given-names>H</given-names></name><name><surname>Sun</surname><given-names>N</given-names></name></person-group><article-title>A nomogram for prediction of distant metastasis in children with Wilms tumor: A study based on SEER database</article-title><source>J Pediatr Urol</source><volume>16</volume><fpage>473.e1</fpage><lpage>473.e9</lpage><year>2020</year><pub-id pub-id-type="doi">10.1016/j.jpurol.2020.05.158</pub-id><pub-id pub-id-type="pmid">32600949</pub-id></element-citation></ref>
<ref id="b2-ol-27-4-14297"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Spreafico</surname><given-names>F</given-names></name><name><surname>Bellani</surname><given-names>FF</given-names></name></person-group><article-title>Wilms&#x0027; tumor: Past, present and (possibly) future</article-title><source>Expert Rev Anticancer Ther</source><volume>6</volume><fpage>249</fpage><lpage>258</lpage><year>2006</year><pub-id pub-id-type="doi">10.1586/14737140.6.2.249</pub-id><pub-id pub-id-type="pmid">16445377</pub-id></element-citation></ref>
<ref id="b3-ol-27-4-14297"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Treger</surname><given-names>TD</given-names></name><name><surname>Chowdhury</surname><given-names>T</given-names></name><name><surname>Pritchard-Jones</surname><given-names>K</given-names></name><name><surname>Behjati</surname><given-names>S</given-names></name></person-group><article-title>The genetic changes of Wilms tumour</article-title><source>Nat Rev Nephrol</source><volume>15</volume><fpage>240</fpage><lpage>251</lpage><year>2019</year><pub-id pub-id-type="doi">10.1038/s41581-019-0112-0</pub-id><pub-id pub-id-type="pmid">30705419</pub-id></element-citation></ref>
<ref id="b4-ol-27-4-14297"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Provenzi</surname><given-names>VO</given-names></name><name><surname>Rosa</surname><given-names>RF</given-names></name><name><surname>Rosa</surname><given-names>RC</given-names></name><name><surname>Roehe</surname><given-names>AV</given-names></name><name><surname>dos Santos</surname><given-names>PP</given-names></name><name><surname>Faulhaber</surname><given-names>FR</given-names></name><name><surname>de Oliveira</surname><given-names>CA</given-names></name><name><surname>Zen</surname><given-names>PR</given-names></name></person-group><article-title>Tumor size and prognosis in patients with Wilms tumor</article-title><source>Rev Paul Pediatr</source><volume>33</volume><fpage>82</fpage><lpage>87</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.rpped.2014.05.003</pub-id><pub-id pub-id-type="pmid">25623730</pub-id></element-citation></ref>
<ref id="b5-ol-27-4-14297"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pater</surname><given-names>L</given-names></name><name><surname>Melchior</surname><given-names>P</given-names></name><name><surname>R&#x00FC;be</surname><given-names>C</given-names></name><name><surname>Cooper</surname><given-names>BT</given-names></name><name><surname>McAleer</surname><given-names>MF</given-names></name><name><surname>Kalapurakal</surname><given-names>JA</given-names></name><name><surname>Paulino</surname><given-names>AC</given-names></name></person-group><article-title>Wilms tumor</article-title><source>Pediatr Blood Cancer</source><volume>68</volume><supplement>Suppl 2</supplement><fpage>e28257</fpage><year>2021</year><pub-id pub-id-type="doi">10.1002/pbc.28257</pub-id><pub-id pub-id-type="pmid">32893998</pub-id></element-citation></ref>
<ref id="b6-ol-27-4-14297"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ekenze</surname><given-names>SO</given-names></name><name><surname>Okafor</surname><given-names>OC</given-names></name><name><surname>Obasi</surname><given-names>AA</given-names></name><name><surname>Okafor</surname><given-names>DC</given-names></name><name><surname>Nnabugwu</surname><suffix>II</suffix></name></person-group><article-title>Wilms tumor in Africa: A systematic review of management challenges and outcome in two decades (2000&#x2013;2019)</article-title><source>Pediatr Blood Cancer</source><volume>67</volume><fpage>e28695</fpage><year>2020</year><pub-id pub-id-type="doi">10.1002/pbc.28695</pub-id><pub-id pub-id-type="pmid">32909662</pub-id></element-citation></ref>
<ref id="b7-ol-27-4-14297"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Groenendijk</surname><given-names>A</given-names></name><name><surname>Spreafico</surname><given-names>F</given-names></name><name><surname>de Krijger</surname><given-names>RR</given-names></name><name><surname>Drost</surname><given-names>J</given-names></name><name><surname>Brok</surname><given-names>J</given-names></name><name><surname>Perotti</surname><given-names>D</given-names></name><name><surname>van Tinteren</surname><given-names>H</given-names></name><name><surname>Venkatramani</surname><given-names>R</given-names></name><name><surname>Godzi&#x0144;ski</surname><given-names>J</given-names></name><name><surname>R&#x00FC;be</surname><given-names>C</given-names></name><etal/></person-group><article-title>Prognostic factors for Wilms tumor recurrence: A review of the literature</article-title><source>Cancers (Basel)</source><volume>13</volume><fpage>3142</fpage><year>2021</year><pub-id pub-id-type="doi">10.3390/cancers13133142</pub-id><pub-id pub-id-type="pmid">34201787</pub-id></element-citation></ref>
<ref id="b8-ol-27-4-14297"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>K</given-names></name><name><surname>Wu</surname><given-names>G</given-names></name><name><surname>Fan</surname><given-names>C</given-names></name><name><surname>Yuan</surname><given-names>H</given-names></name></person-group><article-title>The prognostic significance of primary tumor size in squamous cell carcinoma of the penis</article-title><source>Discov Oncol</source><volume>12</volume><fpage>22</fpage><year>2021</year><pub-id pub-id-type="doi">10.1007/s12672-021-00416-7</pub-id><pub-id pub-id-type="pmid">35201454</pub-id></element-citation></ref>
<ref id="b9-ol-27-4-14297"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>He</surname><given-names>Y</given-names></name><name><surname>Cui</surname><given-names>X</given-names></name><name><surname>Lin</surname><given-names>Y</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Wu</surname><given-names>D</given-names></name><name><surname>Fang</surname><given-names>Y</given-names></name></person-group><article-title>Using elevated cholesterol synthesis as a prognostic marker in Wilms&#x0027; tumor: A bioinformatic analysis</article-title><source>Biomed Res Int</source><volume>2021</volume><fpage>8826286</fpage><year>2021</year><pub-id pub-id-type="pmid">33628817</pub-id></element-citation></ref>
<ref id="b10-ol-27-4-14297"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>L</given-names></name><name><surname>Song</surname><given-names>Z</given-names></name><name><surname>Gao</surname><given-names>XD</given-names></name><name><surname>Chen</surname><given-names>X</given-names></name><name><surname>Wu</surname><given-names>XB</given-names></name><name><surname>Wang</surname><given-names>M</given-names></name><name><surname>Hong</surname><given-names>YD</given-names></name></person-group><article-title>Identification of the potential novel biomarkers as susceptibility gene for Wilms tumor</article-title><source>BMC Cancer</source><volume>21</volume><fpage>316</fpage><year>2021</year><pub-id pub-id-type="doi">10.1186/s12885-021-08034-w</pub-id><pub-id pub-id-type="pmid">33765954</pub-id></element-citation></ref>
<ref id="b11-ol-27-4-14297"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Breslow</surname><given-names>NE</given-names></name><name><surname>Beckwith</surname><given-names>JB</given-names></name></person-group><article-title>Epidemiological features of Wilms&#x0027; tumor: Results of the national Wilms&#x0027; tumor study</article-title><source>J Natl Cancer Inst</source><volume>68</volume><fpage>429</fpage><lpage>436</lpage><year>1982</year><pub-id pub-id-type="pmid">6278194</pub-id></element-citation></ref>
<ref id="b12-ol-27-4-14297"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stiller</surname><given-names>CA</given-names></name><name><surname>Parkin</surname><given-names>DM</given-names></name></person-group><article-title>International variations in the incidence of childhood renal tumours</article-title><source>Br J Cancer</source><volume>62</volume><fpage>1026</fpage><lpage>1030</lpage><year>1990</year><pub-id pub-id-type="doi">10.1038/bjc.1990.432</pub-id><pub-id pub-id-type="pmid">2175212</pub-id></element-citation></ref>
<ref id="b13-ol-27-4-14297"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cunningham</surname><given-names>ME</given-names></name><name><surname>Klug</surname><given-names>TD</given-names></name><name><surname>Nuchtern</surname><given-names>JG</given-names></name><name><surname>Chintagumpala</surname><given-names>MM</given-names></name><name><surname>Venkatramani</surname><given-names>R</given-names></name><name><surname>Lubega</surname><given-names>J</given-names></name><name><surname>Naik-Mathuria</surname><given-names>BJ</given-names></name></person-group><article-title>Global disparities in Wilms tumor</article-title><source>J Surg Res</source><volume>247</volume><fpage>34</fpage><lpage>51</lpage><year>2020</year><pub-id pub-id-type="doi">10.1016/j.jss.2019.10.044</pub-id><pub-id pub-id-type="pmid">31810638</pub-id></element-citation></ref>
<ref id="b14-ol-27-4-14297"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fernandez</surname><given-names>CV</given-names></name><name><surname>Mullen</surname><given-names>EA</given-names></name><name><surname>Chi</surname><given-names>YY</given-names></name><name><surname>Ehrlich</surname><given-names>PF</given-names></name><name><surname>Perlman</surname><given-names>EJ</given-names></name><name><surname>Kalapurakal</surname><given-names>JA</given-names></name><name><surname>Khanna</surname><given-names>G</given-names></name><name><surname>Paulino</surname><given-names>AC</given-names></name><name><surname>Hamilton</surname><given-names>TE</given-names></name><name><surname>Gow</surname><given-names>KW</given-names></name><etal/></person-group><article-title>Outcome and prognostic factors in stage III favorable-histology Wilms tumor: A report from the children&#x0027;s oncology group study AREN0532</article-title><source>J Clin Oncol</source><volume>36</volume><fpage>254</fpage><lpage>261</lpage><year>2018</year><pub-id pub-id-type="doi">10.1200/JCO.2017.73.7999</pub-id><pub-id pub-id-type="pmid">29211618</pub-id></element-citation></ref>
<ref id="b15-ol-27-4-14297"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ehrlich</surname><given-names>PF</given-names></name><name><surname>Anderson</surname><given-names>JR</given-names></name><name><surname>Ritchey</surname><given-names>ML</given-names></name><name><surname>Dome</surname><given-names>JS</given-names></name><name><surname>Green</surname><given-names>DM</given-names></name><name><surname>Grundy</surname><given-names>PE</given-names></name><name><surname>Perlman</surname><given-names>EJ</given-names></name><name><surname>Kalapurakal</surname><given-names>JA</given-names></name><name><surname>Breslow</surname><given-names>NE</given-names></name><name><surname>Shamberger</surname><given-names>RC</given-names></name></person-group><article-title>Clinicopathologic findings predictive of relapse in children with stage III favorable-histology Wilms tumor</article-title><source>J Clin Oncol</source><volume>31</volume><fpage>1196</fpage><lpage>1201</lpage><year>2013</year><pub-id pub-id-type="doi">10.1200/JCO.2011.41.1165</pub-id><pub-id pub-id-type="pmid">23382471</pub-id></element-citation></ref>
<ref id="b16-ol-27-4-14297"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Honeyman</surname><given-names>JN</given-names></name><name><surname>Rich</surname><given-names>BS</given-names></name><name><surname>McEvoy</surname><given-names>MP</given-names></name><name><surname>Knowles</surname><given-names>MA</given-names></name><name><surname>Heller</surname><given-names>G</given-names></name><name><surname>Riachy</surname><given-names>E</given-names></name><name><surname>Kobos</surname><given-names>R</given-names></name><name><surname>Shukla</surname><given-names>N</given-names></name><name><surname>Wolden</surname><given-names>SL</given-names></name><name><surname>Steinherz</surname><given-names>PG</given-names></name><etal/></person-group><article-title>Factors associated with relapse and survival in Wilms tumor: A multivariate analysis</article-title><source>J Pediatr Surg</source><volume>47</volume><fpage>1228</fpage><lpage>1233</lpage><year>2012</year><pub-id pub-id-type="doi">10.1016/j.jpedsurg.2012.03.030</pub-id><pub-id pub-id-type="pmid">22703798</pub-id></element-citation></ref>
<ref id="b17-ol-27-4-14297"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhuge</surname><given-names>Y</given-names></name><name><surname>Cheung</surname><given-names>MC</given-names></name><name><surname>Yang</surname><given-names>R</given-names></name><name><surname>Koniaris</surname><given-names>LG</given-names></name><name><surname>Neville</surname><given-names>HL</given-names></name><name><surname>Sola</surname><given-names>JE</given-names></name></person-group><article-title>Improved survival with lymph node sampling in Wilms tumor</article-title><source>J Surg Res</source><volume>167</volume><fpage>e199</fpage><lpage>e203</lpage><year>2011</year><pub-id pub-id-type="doi">10.1016/j.jss.2010.12.026</pub-id><pub-id pub-id-type="pmid">21324394</pub-id></element-citation></ref>
<ref id="b18-ol-27-4-14297"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Iaboni</surname><given-names>DSM</given-names></name><name><surname>Chi</surname><given-names>YY</given-names></name><name><surname>Kim</surname><given-names>Y</given-names></name><name><surname>Dome</surname><given-names>JS</given-names></name><name><surname>Fernandez</surname><given-names>CV</given-names></name></person-group><article-title>Outcome of Wilms tumor patients with bone metastasis enrolled on national Wilms tumor studies 1&#x2013;5: A report from the children&#x0027;s oncology group</article-title><source>Pediatr Blood Cancer</source><volume>66</volume><fpage>e27430</fpage><year>2019</year><pub-id pub-id-type="doi">10.1002/pbc.27430</pub-id><pub-id pub-id-type="pmid">30160355</pub-id></element-citation></ref>
<ref id="b19-ol-27-4-14297"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Reinhard</surname><given-names>H</given-names></name><name><surname>Semler</surname><given-names>O</given-names></name><name><surname>B&#x00FC;rger</surname><given-names>D</given-names></name><name><surname>Bode</surname><given-names>U</given-names></name><name><surname>Flentje</surname><given-names>M</given-names></name><name><surname>G&#x00F6;bel</surname><given-names>U</given-names></name><name><surname>Gutjahr</surname><given-names>P</given-names></name><name><surname>Leuschner</surname><given-names>I</given-names></name><name><surname>Maass</surname><given-names>E</given-names></name><name><surname>Niggli</surname><given-names>F</given-names></name><etal/></person-group><article-title>Results of the SIOP 93-01/GPOH trial and study for the treatment of patients with unilateral nonmetastatic Wilms tumor</article-title><source>Klin Padiatr</source><volume>216</volume><fpage>132</fpage><lpage>140</lpage><year>2004</year><pub-id pub-id-type="doi">10.1055/s-2004-822625</pub-id><pub-id pub-id-type="pmid">15175957</pub-id></element-citation></ref>
<ref id="b20-ol-27-4-14297"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bahoush</surname><given-names>G</given-names></name><name><surname>Saeedi</surname><given-names>E</given-names></name></person-group><article-title>Outcome of children with Wilms&#x0027; tumor in developing countries</article-title><source>J Med Life</source><volume>13</volume><fpage>484</fpage><lpage>489</lpage><year>2020</year><pub-id pub-id-type="doi">10.25122/jml-2019-0084</pub-id><pub-id pub-id-type="pmid">33456596</pub-id></element-citation></ref>
<ref id="b21-ol-27-4-14297"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Saroff</surname><given-names>J</given-names></name><name><surname>Chu</surname><given-names>TM</given-names></name><name><surname>Gaeta</surname><given-names>JF</given-names></name><name><surname>Williams</surname><given-names>P</given-names></name><name><surname>Murphy</surname><given-names>GP</given-names></name></person-group><article-title>Characterization of a Wilms&#x0027; tumor model</article-title><source>Invest Urol</source><volume>12</volume><fpage>320</fpage><lpage>325</lpage><year>1875</year><pub-id pub-id-type="pmid">163221</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-ol-27-4-14297" position="float">
<label>Figure 1.</label>
<caption><p>Receiver operating characteristic curve for primary tumor size. AUC, area under the curve; 95&#x0025; CI, 95&#x0025; confidence interval.</p></caption>
<graphic xlink:href="ol-27-04-14297-g00.tif"/>
</fig>
<fig id="f2-ol-27-4-14297" position="float">
<label>Figure 2.</label>
<caption><p>Kaplan-Meier analyses according to patient age stratified by primary tumor size. Overall survival of patients aged (A) &#x003C;5 years and (B) &#x2265;5 years. Cancer-specific survival of patients aged (C) &#x003C;5 years and (D) &#x2265;5 years.</p></caption>
<graphic xlink:href="ol-27-04-14297-g01.tif"/>
</fig>
<fig id="f3-ol-27-4-14297" position="float">
<label>Figure 3.</label>
<caption><p>Kaplan-Meier analyses of patient ethnicities stratified by primary tumor size. Overall survival of patients with (A) white, (B) black and (C) other ethnicities. Cancer-specific survival of patients with (D) white, (E) black and (F) other ethnicities.</p></caption>
<graphic xlink:href="ol-27-04-14297-g02.tif"/>
</fig>
<fig id="f4-ol-27-4-14297" position="float">
<label>Figure 4.</label>
<caption><p>Kaplan-Meier analyses of patient sex stratified by primary tumor size. Overall survival of (A) female and (B) male patients. Cancer-specific survival of (C) female and (D) male patients.</p></caption>
<graphic xlink:href="ol-27-04-14297-g03.TIF"/>
</fig>
<fig id="f5-ol-27-4-14297" position="float">
<label>Figure 5.</label>
<caption><p>Kaplan-Meier analyses of patients with or without regional lymph node removal stratified by primary tumor size. Overall survival of patients (A) without and (B) with regional lymph node removal. Cancer-specific survival of patients (C) without and (D) with regional lymph node removal.</p></caption>
<graphic xlink:href="ol-27-04-14297-g04.TIF"/>
</fig>
<fig id="f6-ol-27-4-14297" position="float">
<label>Figure 6.</label>
<caption><p>Kaplan-Meier analyses of patients who underwent non-radical or radical surgery stratified by primary tumor size. Overall survival of patients in the (A) non-radical and (B) radical surgery groups, Cancer-specific survival of patients in the (C) non-radical and (D) radical surgery groups.</p></caption>
<graphic xlink:href="ol-27-04-14297-g05.TIF"/>
</fig>
<fig id="f7-ol-27-4-14297" position="float">
<label>Figure 7.</label>
<caption><p>Kaplan-Meier analyses of patients with and without distant metastases in patients stratified by primary tumor size. Overall survival of patients with (A) without and (B) with distant metastasis. Cancer-specific survival of patients (C) without and (D) with distant metastasis.</p></caption>
<graphic xlink:href="ol-27-04-14297-g06.TIF"/>
</fig>
<fig id="f8-ol-27-4-14297" position="float">
<label>Figure 8.</label>
<caption><p>Kaplan-Meier analyses according to lymph node metastasis status in patients stratified by primary tumor size. Overall survival of patients with (A) negative and (B) positive lymph nodes. Cancer-specific survival of patients with metastasis (C) negative and (D) positive lymph nodes.</p></caption>
<graphic xlink:href="ol-27-04-14297-g07.TIF"/>
</fig>
<fig id="f9-ol-27-4-14297" position="float">
<label>Figure 9.</label>
<caption><p>Kaplan-Meier analyses according to tumor size in patients stratified by regional lymph node removal. Overall survival of patients with a tumor size of (A) &#x003C;11.15 cm and (B) &#x2265;11.15 cm. Cancer-specific survival of patients with a tumor size of (C) &#x003C;11.15 cm and (D) &#x2265;11.15 cm.</p></caption>
<graphic xlink:href="ol-27-04-14297-g08.TIF"/>
</fig>
<fig id="f10-ol-27-4-14297" position="float">
<label>Figure 10.</label>
<caption><p>Multivariate Cox regression analyses of the predictors of overall survival.</p></caption>
<graphic xlink:href="ol-27-04-14297-g09.tif"/>
</fig>
<fig id="f11-ol-27-4-14297" position="float">
<label>Figure 11.</label>
<caption><p>Multivariate Cox regression analyses of the predictors of cancer-specific survival.</p></caption>
<graphic xlink:href="ol-27-04-14297-g10.tif"/>
</fig>
<table-wrap id="tI-ol-27-4-14297" position="float">
<label>Table I.</label>
<caption><p>Association of primary tumor size with demographic and clinicopathological characteristics in patients with Wilms tumor.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">All patients, n (&#x0025;)</th>
<th align="center" valign="bottom">Tumor size &#x003C;11.15 cm, n (&#x0025;)</th>
<th align="center" valign="bottom">Tumor size &#x2265;11.15 cm, n (&#x0025;)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">No. of patients</td>
<td align="center" valign="top">1,523 (100.0)</td>
<td align="center" valign="top">838 (55.0)</td>
<td align="center" valign="top">685 (45.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age, years</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;5</td>
<td align="center" valign="top">1,090 (71.6)</td>
<td align="center" valign="top">642 (76.6)</td>
<td align="center" valign="top">448 (65.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;5</td>
<td align="center" valign="top">433 (28.4)</td>
<td align="center" valign="top">196 (23.4)</td>
<td align="center" valign="top">237 (34.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ethnicity</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.048</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;White</td>
<td align="center" valign="top">1,149 (75.4)</td>
<td align="center" valign="top">645 (77.0)</td>
<td align="center" valign="top">504 (73.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Black</td>
<td align="center" valign="top">270 (17.7)</td>
<td align="center" valign="top">131 (15.6)</td>
<td align="center" valign="top">139 (20.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Other</td>
<td align="center" valign="top">104 (6.8)</td>
<td align="center" valign="top">62 (7.4)</td>
<td align="center" valign="top">42 (6.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.718</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">826 (54.2)</td>
<td align="center" valign="top">451 (53.8)</td>
<td align="center" valign="top">375 (54.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">697 (45.8)</td>
<td align="center" valign="top">387 (46.2)</td>
<td align="center" valign="top">310 (45.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node status</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">1,012 (66.4)</td>
<td align="center" valign="top">571 (68.1)</td>
<td align="center" valign="top">441 (64.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">245 (16.1)</td>
<td align="center" valign="top">101 (12.1)</td>
<td align="center" valign="top">144 (21.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Unknown</td>
<td align="center" valign="top">266 (17.5)</td>
<td align="center" valign="top">166 (19.8)</td>
<td align="center" valign="top">100 (14.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Distant metastasis</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">1,185 (77.8)</td>
<td align="center" valign="top">698 (83.3)</td>
<td align="center" valign="top">487 (71.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">318 (20.9)</td>
<td align="center" valign="top">126 (15.0)</td>
<td align="center" valign="top">192 (28.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Unknown</td>
<td align="center" valign="top">20 (1.3)</td>
<td align="center" valign="top">14 (1.7)</td>
<td align="center" valign="top">6 (0.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Regional lymph node removal</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.018</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">269 (17.7)</td>
<td align="center" valign="top">169 (20.2)</td>
<td align="center" valign="top">100 (14.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">1,244 (81.7)</td>
<td align="center" valign="top">664 (79.2)</td>
<td align="center" valign="top">580 (84.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Unknown</td>
<td align="center" valign="top">10 (0.6)</td>
<td align="center" valign="top">5 (0.6)</td>
<td align="center" valign="top">5 (0.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Surgery</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Non-radical</td>
<td align="center" valign="top">332 (21.8)</td>
<td align="center" valign="top">211 (25.2)</td>
<td align="center" valign="top">121 (17.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Radical</td>
<td align="center" valign="top">1,191 (78.2)</td>
<td align="center" valign="top">627 (74.8)</td>
<td align="center" valign="top">564 (82.3)</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tII-ol-27-4-14297" position="float">
<label>Table II.</label>
<caption><p>Kaplan-Meier predictions of the overall survival and cancer-specific survival of patients with Wilms tumor.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">5-Year overall survival</th>
<th align="center" valign="bottom" colspan="2">5-Year cancer-specific survival</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">Probability, &#x0025; (SEM)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">Probability, &#x0025; (SEM)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age, years</td>
<td/>
<td align="center" valign="top">0.002</td>
<td/>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;5</td>
<td align="center" valign="top">94.0 (0.8)</td>
<td/>
<td align="center" valign="top">95.0 (0.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;5</td>
<td align="center" valign="top">88.6 (1.6)</td>
<td/>
<td align="center" valign="top">89.3 (1.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ethnicity</td>
<td/>
<td align="center" valign="top">0.422</td>
<td/>
<td align="center" valign="top">0.931</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;White</td>
<td align="center" valign="top">92.7 (0.8)</td>
<td/>
<td align="center" valign="top">93.1 (0.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Black</td>
<td align="center" valign="top">91.3 (1.8)</td>
<td/>
<td align="center" valign="top">93.2 (1.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Other</td>
<td align="center" valign="top">92.2 (2.8)</td>
<td/>
<td align="center" valign="top">94.7 (2.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td align="center" valign="top">0.345</td>
<td/>
<td align="center" valign="top">0.448</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">92.9 (0.9)</td>
<td/>
<td align="center" valign="top">93.6 (0.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">91.9 (1.1)</td>
<td/>
<td align="center" valign="top">93.1 (1.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node status</td>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Negative</td>
<td align="center" valign="top">95.2 (0.7)</td>
<td/>
<td align="center" valign="top">96.1 (0.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Positive</td>
<td align="center" valign="top">84.6 (2.4)</td>
<td/>
<td align="center" valign="top">85.3 (2.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Unknown</td>
<td align="center" valign="top">89.4 (2.0)</td>
<td/>
<td align="center" valign="top">90.5 (1.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Distant metastasis</td>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">95.3 (0.7)</td>
<td/>
<td align="center" valign="top">96.1 (0.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">82.6 (2.2)</td>
<td/>
<td align="center" valign="top">83.5 (2.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Unknown</td>
<td align="center" valign="top">83.3 (8.9)</td>
<td/>
<td align="center" valign="top">88.0 (8.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Regional lymph node removal</td>
<td/>
<td align="center" valign="top">0.017</td>
<td/>
<td align="center" valign="top">0.052</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">89.1 (2.0)</td>
<td/>
<td align="center" valign="top">90.2 (1.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">93.3 (0.8)</td>
<td/>
<td align="center" valign="top">94.1 (0.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Unknown</td>
<td align="center" valign="top">87.5 (11.7)</td>
<td/>
<td align="center" valign="top">87.5 (11.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Surgery</td>
<td/>
<td align="center" valign="top">0.181</td>
<td/>
<td align="center" valign="top">0.084</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Non-radical</td>
<td align="center" valign="top">94.0 (1.4)</td>
<td/>
<td align="center" valign="top">94.9 (1.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Radical</td>
<td align="center" valign="top">92.0 (0.8)</td>
<td/>
<td align="center" valign="top">92.9 (0.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumor size</td>
<td/>
<td align="center" valign="top">0.001</td>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;11.15 cm</td>
<td align="center" valign="top">94.4 (0.9)</td>
<td/>
<td align="center" valign="top">95.3 (0.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;11.15 cm</td>
<td align="center" valign="top">90.2 (1.2)</td>
<td/>
<td align="center" valign="top">91.1 (1.1)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-27-4-14297"><p>SEM, standard error of the mean.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
