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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OGS</journal-id>
<journal-title-group>
<journal-title>Obstetrics &amp; Gynecology Science</journal-title><abbrev-journal-title>Obstet Gynecol Sci</abbrev-journal-title></journal-title-group>
<issn pub-type="ppub">2287-8572</issn>
<issn pub-type="epub">2287-8580</issn>
<publisher>
<publisher-name>Korean Society of Obstetrics and Gynecology; Korean Society of Contraception and Reproductive Health; Korean Society of Gynecologic Endocrinology; Korean Society of Gynecologic Endoscopy and Minimal Invasive Surgery; Korean Society of Maternal Fetal Medicine; Korean Society of Ultrasound in Obstetrics and Gynecology; Korean Urogynecologic Society</publisher-name></publisher></journal-meta><article-meta>
<article-id pub-id-type="doi">10.5468/ogs.19204</article-id>
<article-id pub-id-type="publisher-id">ogs-19204</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
<subj-group subj-group-type="heading">
<subject>Gynecologic Oncology</subject>
</subj-group></subj-group></article-categories>
<title-group>
<article-title>Prognostic impact of p16 and p53 gene expressions in stage 1a epithelial ovarian cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-8854-8190</contrib-id>
<name><surname>Günakan</surname><given-names>Emre</given-names></name>
<degrees>MD</degrees>
<xref ref-type="corresp" rid="c1-ogs-19204"/>
<xref ref-type="aff" rid="af1-ogs-19204"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tohma</surname><given-names>Yusuf Aytaç</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af1-ogs-19204"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Karakaş</surname><given-names>Latife Atasoy</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af1-ogs-19204"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Akıllı</surname><given-names>Hüseyin</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af2-ogs-19204"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Haberal</surname><given-names>Asuman Nihan</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af2-ogs-19204"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ayhan</surname><given-names>Ali</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af1-ogs-19204"><sup>1</sup></xref>
</contrib>
<aff id="af1-ogs-19204">
<label>1</label>Department of Obstetrics and Gynecology, School of Medicine, Başkent University, Ankara, <country>Turkey</country></aff>
<aff id="af2-ogs-19204">
<label>2</label>Department of Pathology, School of Medicine, Başkent University, Ankara, <country>Turkey</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-ogs-19204">Corresponding author: Emre Günakan, MD Department of Obstetrics and Gynecology, School of Medicine, Başkent University, Fevzi Çakmak Cd. 10. Sk. No:45 Bahçelievler, Ankara, Turkey E-mail: <email>emreg43@hotmail.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>7</month>
<year>2020</year></pub-date>
<pub-date pub-type="epub">
<day>19</day>
<month>6</month>
<year>2020</year></pub-date>
<volume>63</volume>
<issue>4</issue>
<fpage>464</fpage>
<lpage>469</lpage>
<history>
<date date-type="received">
<day>26</day>
<month>10</month>
<year>2019</year></date>
<date date-type="rev-recd">
<day>10</day>
<month>2</month>
<year>2020</year></date>
<date date-type="accepted">
<day>17</day>
<month>2</month>
<year>2020</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000a9; 2020 Korean Society of Obstetrics and Gynecology</copyright-statement>
<copyright-year>2020</copyright-year>
<license>
<license-p>Articles published in Obstet Gynecol Sci are open-access, distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract><sec><title>Objective</title>
<p>Epithelial ovarian cancer (EOC) is rarely detected at stage 1a. Most of the patients have a good prognosis and there are limited factors that affect their survival. In the present study, we evaluated the p16 and p53 gene expressions of stage 1a EOC patients. Prognostic effects of these gene expressions, as well as those of other factors on short term survival were analyzed.</p></sec>
<sec><title>Methods</title>
<p>Our study included 29 patients. The specimens of the ovary with cancer were stained for p16 and p53. Gene expressions and other prognostic factors were evaluated.</p></sec>
<sec><title>Results</title>
<p>The median age of the patients was 51 years (27&#x02013;84). The mean numbers of dissected pelvic and paraaortic lymph nodes were 27 and 12, respectively. The mean follow-up time was 33.7&#x000b1;18.9 months. During this period, recurrence occurred in two patients. One of the patients had grade 2 mucinous carcinoma and died of the disease at month 12 after the recurrence occurred at month 7. The second patient had clear cell carcinoma and recurrence occurred at month 34. p16 and p53 gene expressions or other factors were not associated with overall survival (OS) or disease-free survival in the short term. The lower p16 positivity rate in the non-clear cell group was found to be statistically significant (<italic>P</italic>&#x0003d;0.003). Both p53 and p16 positivity rates were higher in the high-grade carcinoma.</p></sec>
<sec><title>Conclusion</title>
<p>The levels of none of the common prognostic factors, including those of p16 and p53 gene expression, were associated with the progression-free survival or OS of stage 1a in the short term. Appropriate surgical staging and non-omission of subclinical metastases seem to be of central importance.</p></sec>
</abstract>
<kwd-group>
<kwd>Disease-free survival</kwd>
<kwd>Genes, p16</kwd>
<kwd>Genes, p53</kwd>
<kwd>Progression-free survival</kwd>
</kwd-group>
</article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Ovarian cancer is usually diagnosed at advanced stages. It is the most lethal gynecological cancer and accounts for 4.3% of all cancer-related deaths &#x0005b;<xref ref-type="bibr" rid="b1-ogs-19204">1</xref>&#x0005d;. Advanced-stage epithelial ovarian cancer (EOC) is the leading subject of research in literature compared to early-stage disease. However, most early-stage disease-related studies evaluate the patients with stage 1 or 2 together, even though stage 1a/1b disease has a better prognosis than stage 1c or 2 &#x0005b;<xref ref-type="bibr" rid="b2-ogs-19204">2</xref>&#x0005d;.</p>
<p>Stage 1a EOC constitutes a minor group (up to 10%) of patients, with a 5-year survival rate of over 90% &#x0005b;<xref ref-type="bibr" rid="b3-ogs-19204">3</xref>&#x0005d;. There are several prognostic factors associated with stage 1a disease, including age, histological factors (e.g., type and grade), and molecular factors such as abnormal oncogene expression (e.g., p53, p16, Her2/neu, PTEN, p21, and ki67).</p>
<p>p16 is a cyclin-dependent kinase (CDK) inhibitor that inhibits retinoblastoma protein levels by inhibiting CDK phosphorylation during cell cycle progression. Another mode of its action involves the inhibition of cyclin D1, which inactivates pRb through CDK4. Both p16 and pRb are important tumor suppressors in cell cycle regulation. p16 is a potent inhibitor of CDK4 and CDK6. p16, pRb, and cyclin are involved in the transition from the G1 to S phase, which is the most important control point of the D1 cell cycle. The p53 protein is localized in the nucleus and plays a role in the mechanisms underlying DNA damage repair. p53 controls the transition from the G1 to S phase. It is the most common site of genetic change in human tumors &#x0005b;<xref ref-type="bibr" rid="b4-ogs-19204">4</xref>&#x0005d;. Approximately, 50% of human tumors contain a p53 gene mutation. Additionally, several studies have reported about the high p53 mutation rate in EOC &#x0005b;<xref ref-type="bibr" rid="b5-ogs-19204">5</xref>-<xref ref-type="bibr" rid="b7-ogs-19204">7</xref>&#x0005d;. Recently, mutation or promoter methylation of the p16 gene has also been detected in ovarian serous adenocarcinoma &#x0005b;<xref ref-type="bibr" rid="b8-ogs-19204">8</xref>&#x0005d;. In the current study, we aimed to evaluate the effect of p16 and p53 expressions and conventional prognostic factors on stage 1a EOC.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<p>Our study included 29 patients who underwent staging surgery for EOC at the Department of Gynecologic Oncology, School of Medicine, Ba&#x0015f;kent University and were diagnosed with stage 1a disease. The study was conducted in accordance with the Declaration of Helsinki. Standard staging surgery included hysterectomy, bilateral salphingo-oophorectomy, bilateral pelvic and paraaortic lymph node dissection, omentectomy, and appendectomy. Uterus and one ovary were preserved and unilateral salphingo-oophorectomy was performed in fertility-sparing surgery. The International Federation of Gynecologists and Obstetricians (FIGO) system was used for disease staging &#x0005b;<xref ref-type="bibr" rid="b9-ogs-19204">9</xref>&#x0005d;. Patients were evaluated in groups based on the histological type (clear and non-clear cell carcinoma) and the presence or absence of p16 and p53 gene expressions. p16 and p53 expressions were evaluated immunohistochemically in paraffin blocs. Nuclear staining in the epithelial cells was evaluated under a light microscope. Lack of staining, slight staining, or staining of less than 10% of the tumor cells was defined as negative, while others were defined as positive (<xref rid="f1-ogs-19204" ref-type="fig">Fig. 1</xref>). Data were analyzed using SPSS for Windows v.15.0 (SPSS Inc., Chicago, IL, USA). Descriptive and frequency analyses were performed. Categorical variables were compared using the chi-square test or Fisher&#x02019;s exact test, as appropriate. The level of statistical significance was set at <italic>P</italic>&lt;0.05.</p>
</sec>
<sec sec-type="results">
<title>Results</title>
<p>Our study included 29 patients. The median age of the patients was 51 (27&#x02013;84). The number of premenopausal and postmenopausal patients were 14 (48.2%) and 15 (51.8%), respectively. The general properties of the patients are summarized in <xref rid="t1-ogs-19204" ref-type="table">Table 1</xref>. The mean numbers of dissected pelvic and paraaortic lymph nodes were 27 and 12, respectively. The mean tumor diameter was 11.5&#x000b1;1.1 cm.</p>
<p><xref rid="t2-ogs-19204" ref-type="table">Table 2</xref> summarizes the staining patterns for p53 and p16 according to the histological types. p53 was positive in all specimens of patients with clear cell histology. The lower p16 positivity rate in the non-clear cell group was found to be statistically significant (<italic>P</italic>&#x0003d;0.003). Furthermore, both p53 and p16 positivity rates were higher in the high-grade tumor, and this was statistically significant for the p16 group (<italic>P</italic>&#x0003d;0.048).</p>
<p>The mean follow-up time was 33.7&#x000b1;18.9 months. During this period, recurrence occurred in two patients and one of these patients died of the disease. One of the patients had grade 2 mucinous carcinoma and died of disease at month 12 after a recurrence at month 7. The second patient had clear cell carcinoma and recurrence occurred at month 34. She was subjected to a combined chemotherapeutic regimen that included the administration of paclitaxel and carboplatin after a secondary cytoreduction. She was alive at t month 42 of the follow-up. The levels of none of the prognostic factors, including those of p16 and p53 gene expression, were statistically significant in the disease-free survival (DFS) or overall survival analyses in the short term (<xref rid="t3-ogs-19204" ref-type="table">Table 3</xref>).</p>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Stage 1a EOC is defined as the disease that is confined to one of the ovaries with intact surface epithelium and no other metastases. Thus, only a few prognostic factors are associated with the tumor. Histological type and grade are the globally well-accepted factors, and in addition, molecular patterns have been found to be related to tumor behavior. The aim of our study was to investigate whether p53 and p16 expressions affect survival in stage 1a EOC. In the current analysis, we did not find a statistically significant association between survival and the levels of any of the factors, including those of p53 and p16 expression, in the short term.</p>
<p>The initial approach in early-stage ovarian cancer treatment is surgical staging. These results constitute the basis of adjuvant treatment and prediction of prognosis &#x0005b;<xref ref-type="bibr" rid="b10-ogs-19204">10</xref>,<xref ref-type="bibr" rid="b11-ogs-19204">11</xref>&#x0005d;. Additionally, there is no difference in 5-year survival expectancy between fertility-sparing or radical surgery at stage 1 &#x0005b;<xref ref-type="bibr" rid="b12-ogs-19204">12</xref>,<xref ref-type="bibr" rid="b13-ogs-19204">13</xref>&#x0005d;. In stage 1a disease, classic staging procedure is sufficient and curative in a substantial proportion of patients. Observational studies have shown that 30% of patients, who were thought to have stage I or II disease during the initial surgery, were diagnosed with a more advanced stage disease after more comprehensive restaging laparotomy &#x0005b;<xref ref-type="bibr" rid="b14-ogs-19204">14</xref>&#x0005d;. In a study comprising 138 patients, the recurrence rates of complete and incomplete staging were 10% and 28%, respectively &#x0005b;<xref ref-type="bibr" rid="b15-ogs-19204">15</xref>&#x0005d;. At this point, the main targets of the surgery in patients who are thought to have early-stage disease should be appropriate staging procedure and the exclusion of occult and subclinical metastases &#x0005b;<xref ref-type="bibr" rid="b16-ogs-19204">16</xref>&#x0005d;. In our study, all patients were subjected to a standard staging surgery with an adequate number of lymph nodes in both the pelvic and paraaortic regions.</p>
<p>Endometrioid histology is associated with a better prognosis and an earlier stage at the time of diagnosis &#x0005b;<xref ref-type="bibr" rid="b17-ogs-19204">17</xref>&#x0005d;. Contrastingly, clear cell histology is associated with poor prognosis &#x0005b;<xref ref-type="bibr" rid="b3-ogs-19204">3</xref>&#x0005d;. In addition, clear cell histology has an aggressive nature and can be considered as a high-grade tumor. Even stage 1a patients with clear cell carcinoma undergo adjuvant therapies. Clear cell histology was the most frequent histological type in our study and was evaluated as a separate group. All specimens were p53-positive and this was a conspicuous point.</p>
<p>In the cell cycle, DNA damage is controlled at the G1/S control point and DNA repair mechanisms are activated. Mutation of the p53 tumor suppressor gene results in a DNA repair failure leading to neoplastic development &#x0005b;<xref ref-type="bibr" rid="b18-ogs-19204">18</xref>&#x0005d;. Mutation of p53 is frequently detected in high grade serous ovarian cancers, and this frequency may be up to 80% in advanced stages &#x0005b;<xref ref-type="bibr" rid="b19-ogs-19204">19</xref>&#x0005d;. Over-expression of p53 is associated with poor prognosis &#x0005b;<xref ref-type="bibr" rid="b20-ogs-19204">20</xref>-<xref ref-type="bibr" rid="b25-ogs-19204">25</xref>&#x0005d; and high tumor grade &#x0005b;<xref ref-type="bibr" rid="b24-ogs-19204">24</xref>&#x0005d;. Additionally, p53 was associated with lower DFS and poor prognosis in stages 1 and 2 &#x0005b;<xref ref-type="bibr" rid="b21-ogs-19204">21</xref>,<xref ref-type="bibr" rid="b22-ogs-19204">22</xref>&#x0005d;. Association of p16 and EOC is a relatively less evaluated issue compared to p53. In contrast, p16 gene mutations or promoter methylation has been detected in serous ovarian cancer in recent years &#x0005b;<xref ref-type="bibr" rid="b8-ogs-19204">8</xref>&#x0005d;. Moreover, p16 over-expression is associated with high differentiation and tumor grade &#x0005b;<xref ref-type="bibr" rid="b26-ogs-19204">26</xref>&#x0005d;, advanced-stage &#x0005b;<xref ref-type="bibr" rid="b8-ogs-19204">8</xref>&#x0005d;, and poor prognosis &#x0005b;<xref ref-type="bibr" rid="b27-ogs-19204">27</xref>&#x0005d;. Similar previously published studies have commonly focused on advanced stage disease or stage 1 and 2 disease together. In the current study, we investigated the effect of these molecular changes in stage 1a differently from other studies. We found some significant histopathological findings, whereas its effect on survival could not be well-established due to the short follow-up time.</p>
<p>Stage 1a EOC patients were included in the current study to minimize heterogeneity. Prognostic factors, including p53 and p16 expressions, were evaluated and initial reports of short-term results are reported herein. Standard surgical and medical management of a single-center and uniform patient selection should be considered the strengths of this study. However, the short follow-up time and a limited number of patients should be considered the limitations. The long-term results will be also presented in the future.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="conflict"><p>No potential conflict of interest relevant to this article was reported.</p></fn>
<fn fn-type="other"><p><bold>Ethical approval:</bold> The study was approved by the review board of the University of Medical Sciences.</p></fn>
</fn-group>
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<sec sec-type="display-objects">
<title>Figure and Tables</title>
<fig id="f1-ogs-19204" position="float">
<label>Fig. 1.</label><caption><p>(A) Weak staining pattern with p16 marker (&#x000d7;10 high-power field &#x0005b;HPF&#x0005d;); (B) Moderate staining pattern with p16 marker (&#x000d7;20 HPF); (C) Strong staining pattern with p16 marker (&#x000d7;10 HPF).</p></caption>
<graphic xlink:href="ogs-19204f1.tif"/></fig>
<table-wrap id="t1-ogs-19204" position="float">
<label>Table 1.</label>
<caption><p>General properties of patients</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variables</th>
<th align="center" valign="middle">Values</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;60</td>
<td valign="top" align="center">22 (75)</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;60</td>
<td valign="top" align="center">7 (25)</td>
</tr>
<tr>
<td valign="top" align="left">Histological type</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Clear cell</td>
<td valign="top" align="center">12 (41)</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Non-clear cell</td>
<td valign="top" align="center">17 (59)</td>
</tr>
<tr>
<td valign="top" align="left">Menopausal status</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Premenopausal</td>
<td valign="top" align="center">14 (48)</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Postmenopausal</td>
<td valign="top" align="center">15 (52)</td>
</tr>
<tr>
<td valign="top" align="left">Surgical approach</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Standard</td>
<td valign="top" align="center">26 (89)</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Fertility sparing</td>
<td valign="top" align="center">3 (11)</td>
</tr>
<tr>
<td valign="top" align="left">Follow-up (mon)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Min</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Max</td>
<td valign="top" align="center">70</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t2-ogs-19204" position="float">
<label>Table 2.</label>
<caption><p>The staining patterns for p53 and p16 according to the histopathological evaluation</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variables</th>
<th align="center" valign="middle">p53+</th>
<th align="center" valign="middle">p53-</th>
<th align="center" valign="middle"><italic>P</italic>-value</th>
<th align="center" valign="middle">p16+</th>
<th align="center" valign="middle">p16-</th>
<th align="center" valign="middle"><italic>P</italic>-value</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Histological type</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Clear cell</td>
<td valign="top" align="center">9 (75.0)</td>
<td valign="top" align="center">3 (25.0)</td>
<td valign="top" align="center">0.498</td>
<td valign="top" align="center">12 (100)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0.130</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Non-clear cell</td>
<td valign="top" align="center">9 (56.3)</td>
<td valign="top" align="center">7 (43.8)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">15 (88.2)</td>
<td valign="top" align="center">2 (11.8)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Non-clear subtypes</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Endometrioid</td>
<td valign="top" align="center">3 (75)</td>
<td valign="top" align="center">1 (25)</td>
<td valign="top" align="center">0.279</td>
<td valign="top" align="center">4 (100)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Mucinous</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">8 (100)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">6 (75.0)</td>
<td valign="top" align="center">2 (25.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Serous</td>
<td valign="top" align="center">4 (80)</td>
<td valign="top" align="center">1 (20)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">5 (100)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Grade<sup><xref rid="tfn1-ogs-19204" ref-type="table-fn">a)</xref></sup></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;1</td>
<td valign="top" align="center">6 (75)</td>
<td valign="top" align="center">2 (25)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">3 (37.5)</td>
<td valign="top" align="center">5 (62.5)</td>
<td valign="top" align="center">0.048</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;2</td>
<td valign="top" align="center">5 (100)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">1 (20.0)</td>
<td valign="top" align="center">4 (80.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;3</td>
<td valign="top" align="center">16 (100)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">12 (75.0)</td>
<td valign="top" align="center">4 (25.0)</td>
<td valign="top" align="center"></td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p></fn>
<fn id="tfn1-ogs-19204"><label>a)</label><p>Clear cell tumors were involved in grade 3 group due to the agressive nature.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t3-ogs-19204" position="float">
<label>Table 3.</label>
<caption><p>Survival analysis of prognostic factors</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variables</th>
<th align="center" valign="middle">DFS</th>
<th align="center" valign="middle"><italic>P</italic>-value</th>
<th align="center" valign="middle">OS</th>
<th align="center" valign="middle"><italic>P</italic>-value</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.224</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.226</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&lt;60</td>
<td valign="top" align="center">22 (35.8&#x000B1;20.7)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">22 (36.0&#x000B1;20.4)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;60</td>
<td valign="top" align="center">7 (25.6&#x000B1;10.0)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">7 (26.7&#x000B1;11.5)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Histological type</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.182</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.161</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Clear cell</td>
<td valign="top" align="center">12 (39&#x000B1;18.2)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">12 (39.67&#x000B1;18.2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Non-clear cell</td>
<td valign="top" align="center">17 (29.3&#x000B1;19.1)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">17 (29.6&#x000B1;18.8)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Grade</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.536</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.489</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;1</td>
<td valign="top" align="center">8 (26.9&#x000B1;14.0)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">8 (26.9&#x000B1;14.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;2</td>
<td valign="top" align="center">5 (34.0&#x000B1;22.3)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">8 (35.0&#x000B1;20.9)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;3</td>
<td valign="top" align="center">16 (36.3&#x000B1;20.5)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">16 (36.8&#x000B1;20.6)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">p16</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.103</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">16 (38.9&#x000B1;19.9)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">16 (38.94&#x000B1;19.9)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">13 (26.3&#x000B1;16.0)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">13 (27.38&#x000B1;16.1)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">p53</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.277</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Positive</td>
<td valign="top" align="center">27 (34.3&#x000B1;19.3)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">27 (34.8&#x000B1;19.1)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Negative</td>
<td valign="top" align="center">2 (19.5&#x000B1;9.1)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">2 (19.1&#x000B1;9.1)</td>
<td valign="top" align="center"></td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (mean&#x000B1;standard deviation).</p>
<p>DFS, disease-free survival; OS, overall survival.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</back></article>