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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2023.1264628</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Radical gastrectomy is safe for treatment of gastric cancer patients on immunosuppressive drugs after organ transplantation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Jin Ah</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>So Jung</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1832903"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Seo</surname>
<given-names>Ho Seok</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1645453"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Han Hong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/965897"/>
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<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Sung Geun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Jun</surname>
<given-names>Kyong Hwa</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Kyo Young</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1370975"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jung</surname>
<given-names>Yoon Ju</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Division of Gastrointestinal Surgery, Department of Surgery, Seoul St. Mary&#x2019;s Hospital, College of Medicine, The Catholic University of Korea</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Division of Gastrointestinal Surgery, Department of Surgery, Yeouedo St. Mary&#x2019;s Hospital, College of Medicine, The Catholic University of Korea</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Division of Gastrointestinal Surgery, Department of Surgery, St. Vincent&#x2019;s Hospital, College of Medicine, The Catholic University of Korea</institution>, <addr-line>Suwon</addr-line>, <country>Republic of Korea</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Amedeo Carraro, Integrated University Hospital Verona, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Augusto Lauro, Sapienza University of Rome, Italy</p>
<p>Shinichi Kinami, Kanazawa Medical University, Japan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yoon Ju Jung, <email xlink:href="mailto:leazl8012@gmail.com">leazl8012@gmail.com</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;ORCID: Yoon Ju Jung, <uri xlink:href="https://orcid.org/0000-0002-3406-1464">orcid.org/0000-0002-3406-1464</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1264628</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Lee, Kim, Seo, Lee, Kim, Jun, Song and Jung</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Lee, Kim, Seo, Lee, Kim, Jun, Song and Jung</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>
<italic>De novo</italic> malignancies are major causes of death after organ transplantation because the recipients subsequently receive immunosuppressant drugs. When gastric cancer develops, the clinical course of the tumor may be particularly aggressive. However, there are few reliable studies of gastric cancer treatment after organ transplantation. This study examined the clinicopathological characteristics of gastric cancer patients after organ transplantation and evaluated treatment outcomes after gastrectomy.</p>
</sec>
<sec>
<title>Methods</title>
<p>Clinical data were collected from 54 patients who were diagnosed with gastric cancer after organ transplantation. Of these, 30 who underwent surgery for gastric cancer while on immunosuppressant medications were compared with a control group of 625 gastric cancer patients. To compensate for clinical differences between the two groups, 1:1 propensity-score matching was performed.</p>
</sec>
<sec>
<title>Results</title>
<p>Among the 30 gastric cancer patients on immunosuppressants, kidney transplantation was the most common procedure (19/30, 63.3%) followed by bone marrow (6) and liver transplantation (4); among all 54 patients, 45 were on one or two immunosuppressants. Up-migration to an advanced pathological stage was more frequent in the transplant group. In multivariate analysis, transplantation was a significant risk factor for up-migration from the T, M, and final stages after surgery. When the 30 patients on immunosuppressants who underwent gastric cancer surgery were compared with the matched controls, the total incidence (30.0 <italic>vs</italic> 40.0%, <italic>P</italic> = 0.417) and the number of severe postoperative complications (16.7 <italic>vs</italic> 13.4%, <italic>P</italic> = 0.417) did not differ significantly between groups after propensity score matching. In terms of overall survival, the transplant group showed significantly worse prognosis in stages I, II, and IV (<italic>P</italic> &lt; 0.001<italic>, P</italic> = 0.039 and 0.007, respectively).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Radical gastrectomy can be a safe oncological procedure for gastric cancer patients on immunosuppressants after transplantation. Considering their immunosuppressed condition and the possibility of underestimation of the stage of gastric cancer, early detection with endoscopic screening is needed to allow curative treatment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>gastric cancer</kwd>
<kwd>organ transplantation</kwd>
<kwd>immunosuppressive drug</kwd>
<kwd>gastrectomy</kwd>
<kwd>diagnosis</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="25"/>
<page-count count="13"/>
<word-count count="5346"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Surgical Oncology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The survival rate of transplant patients is increasing with the use of powerful immunosuppressive agents. As survival rates increase, the cumulative doses of these agents also increase (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). This is good news for the survival of the grafted organ. However, these agents inevitably suppress the patient&#x2019;s immune system, reducing the ability of the immune surveillance system to suppress cancer development or the proliferation of cancer-related viruses (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). The cumulative immunosuppressant dose is an important risk factor for cancer, and combination therapy also increases the risk of cancer (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>In a surveillance report focused on a Korean population in 2006, 105 of 1500 (7.1%) kidney transplant patients subsequently developed <italic>de novo</italic> cancer (<xref ref-type="bibr" rid="B6">6</xref>). Gastric cancer was the most common cancer type, at 16.2%, and the mean interval from transplantation to cancer development was approximately 10 years. When further follow-up data were published, 141 of 1700 patients had post-transplant cancer, and gastric cancer remained the most common type (<xref ref-type="bibr" rid="B7">7</xref>). Older age, female sex, graft function duration, and follow-up duration have been identified as risk factors for cancer (<xref ref-type="bibr" rid="B7">7</xref>). However, little is known about the clinical outcomes of the gastric cancer and postoperative safety in this situation. Therefore, this study examined the clinicopathological characteristics and surgical safety of gastric cancer patients after organ transplantation.</p>
</sec>
<sec id="s2">
<title>Patients and methods</title>
<sec id="s2_1">
<title>Study populations</title>
<p>This study reviewed the medical records of gastric cancer patients who had undergone radical gastrectomy with curative intent at Seoul St. Mary&#x2019;s Hospital and St. Vincent Hospital between 1990 and 2021; the review identified 54 patients who had undergone transplantation before the diagnosis of gastric adenocarcinoma. Because of the large difference in the number of patients, we limited the control group to gastric cancer patients who underwent surgery between 2015 and 2018 in Seoul St. Mary&#x2019;s Hospital. After the exclusion of patients who were treated with conservative care or endoscopic submucosal dissection without radical gastrectomy, or patients who were taking no immunosuppressant because of graft failure or acquired tolerance after bone marrow transplant, 30 patients on immunosuppressants after transplantation were compared with the control group of gastric cancer patients. <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref> shows the algorithm for patient inclusion and exclusion. There was a change in the cancer staging system used for 30 years from the 1990s, and it was updated from the 4th to the 8th edition of American Joint Committee on Cancer, but all staging was redefined to the 8th edition for present analysis. Patients underwent conventional radical gastrectomy with curative intent in accordance with the Japanese (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>) and Korean Gastric Cancer Treatment Guidelines (<xref ref-type="bibr" rid="B11">11</xref>). Postoperative complications were defined as any unwanted event during surgery or the patient&#x2019;s condition within 30 days after surgery. The severity of complications and reinterventions was graded using the Clavien&#x2013;Dindo classification (grades I&#x2013;V), and a serious complication was defined as Clavien&#x2013;Dindo grade III or higher. Pathological stage was classified according to the 8<sup>th</sup> American Joint Committee on Cancer criteria. This study was approved by the Institutional Review Board of the College of Medicine, Catholic University of Korea (KC22RISI0943). Patient records were anonymized and deidentified before analysis.</p>
</sec>
<sec id="s2_2">
<title>Statistical analysis</title>
<p>SPSS for Windows (ver. 22.0; SPSS, Chicago, IL, USA) was used to perform the statistical analyses. The chi-squared and Fisher&#x2019;s exact tests were used to evaluate the associations among categorical variables, whereas Student&#x2019;s <italic>t</italic>-test was used for continuous variables. Various factors, such as the Eastern Cooperative Oncology Group (ECOG) score, body mass index (BMI), comorbidity, smoking history, and alcohol history, were analyzed through 1:1 propensity score matching. Survival analysis was performed using the Kaplan&#x2013;Meier method. All results were considered statistically significant when <italic>p</italic>-values were &lt; 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>
<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref> summarizes the clinicopathological characteristics of the 54 patients who had undergone transplantation. The mean patient age was 58.25 &#xb1; 11.47 years, and 39 patients (72%) were men. Of the 54 patients, 24 (44.44%) had clinically early cancer. Kidney transplantation was the most common organ transplant (39 of 54, 72.22%); other types of transplants were liver, bone marrow, and heart. Of the 54 patients, 45 (83.33%) were on immunosuppressant agents, including 19 (35.1%) who were taking two or more agents. Nine patients discontinued immunosuppressants (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>), including two who resumed hemodialysis due to graft failure after kidney transplantation, six who did not require immunosuppressants due to acquisition of tolerance after bone marrow transplantation, and one whose leukemia relapsed after bone marrow transplantation.</p>
<p>The patients&#x2019; preoperative characteristics and postoperative outcomes were compared between the 30 patients who underwent gastrectomy after transplantation (TP group) and a control group of gastric cancer patients (non-TP group, <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref> and <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>). The mean age and proportion of men did not significantly differ between the two groups; the TP group had a significantly lower mean BMI (20.87 kg/m<sup>2</sup> <italic>vs</italic>. 23.76 kg/m<sup>2</sup>, <italic>p</italic> &lt; 0.001) and higher ECOG score (<italic>p</italic> &lt; 0.001). Cancer location and clinical stages did not significantly differ between the groups (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Patients in the non-TP group underwent more distal gastrectomy (<italic>p</italic> &lt; 0.001) with D2/D2+ lymph node dissection (<italic>p</italic> &lt; 0.013), but the operating time and estimated blood loss were not significantly different. Significantly fewer lymph nodes were retrieved in the TP group (22.21 <italic>vs</italic>. 43.98, <italic>p</italic> &lt; 0.001), and the pathological stages were significantly advanced in the TP group (pT, N, M, and final stage, all <italic>p</italic> &lt; 0.001). Postoperative complication rates did not significantly differ between the two groups (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Preoperative clinical characteristics of the patients who underwent gastric cancer surgery after transplantation and under immunosuppressant.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">TP group<break/>N=30</th>
<th valign="middle" align="center">None TP group<break/>N= 625</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center">59.23 (&#xb1;12.62)</td>
<td valign="middle" align="center">61.60 (&#xb1;11.71)</td>
<td valign="middle" align="center">0.281</td>
</tr>
<tr>
<td valign="middle" align="left">Sex</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="center">20 (66.7%)</td>
<td valign="middle" align="center">403 (64.5%)</td>
<td valign="middle" align="center">0.807</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="center">10 (33.3%)</td>
<td valign="middle" align="center">222 (35.5%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">BMI</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center">20.87 (&#xb1;3.24)</td>
<td valign="middle" align="center">23.76 (&#xb1;3.29)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left">PS (ECOG)</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="center">5 (16.7%)</td>
<td valign="middle" align="center">504 (80.6%)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="center">22 (73.3%)</td>
<td valign="middle" align="center">101 (16.2%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">2</td>
<td valign="middle" align="center">2 (6.7%)</td>
<td valign="middle" align="center">17 (2.7%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">3</td>
<td valign="middle" align="center">2 (6.7%)</td>
<td valign="middle" align="center">3 (0.5%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Comorbidity</td>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="center">18 (60.0%)</td>
<td valign="middle" align="center">218 (34.9%)</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">DM</td>
<td valign="middle" align="center">16 (53.3%)</td>
<td valign="middle" align="center">90 (14.4%)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Pulmonary</td>
<td valign="middle" align="center">2 (6.7%)</td>
<td valign="middle" align="center">39 (6.2%)</td>
<td valign="middle" align="center">0.925</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">others</td>
<td valign="middle" align="center">29 (96.7%)</td>
<td valign="middle" align="center">272 (43.5%)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Smoking</td>
<td valign="middle" align="left">None</td>
<td valign="middle" align="center">27 (90.0%)</td>
<td valign="middle" align="center">241 (38.6%)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Ex-smoker</td>
<td valign="middle" align="center">2 (6.7%)</td>
<td valign="middle" align="center">196 (31.4%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Current smoker</td>
<td valign="middle" align="center">1 (3.3%)</td>
<td valign="middle" align="center">188 (30.1%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="left">None</td>
<td valign="top" align="center">29 (96.7%)</td>
<td valign="top" align="center">242 (38.7%)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">Social drinking</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="center">248 (39.7%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">Heavy drinking</td>
<td valign="top" align="center">1 (0%)</td>
<td valign="top" align="center">135 (21.6%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Cancer location</td>
<td valign="top" align="left">Upper 1/3</td>
<td valign="top" align="center">4 (13.3%)</td>
<td valign="top" align="center">96 (15.4%)</td>
<td valign="top" align="center">0.549</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">Middle 1/3</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">65 (10.4%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">Lower 1/3</td>
<td valign="top" align="center">21 (70.0%)</td>
<td valign="top" align="center">464 (74.2%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">cT</td>
<td valign="top" align="left">T1</td>
<td valign="top" align="center">15 (50.0%)</td>
<td valign="top" align="center">313 (50.1%)</td>
<td valign="top" align="center">0.511</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">T2</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">163 (26.1%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">T3</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">85 (13.6%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">T4</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">64 (10.2%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">cN</td>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">25 (83.3%)</td>
<td valign="top" align="center">514 (82.2%)</td>
<td valign="top" align="center">0.447</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">N1</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="center">78 (12.5%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">N2</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="center">27 (4.3%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">N3</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="center">6 (1.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">cM</td>
<td valign="top" align="left">M0</td>
<td valign="top" align="center">29 (96.7%)</td>
<td valign="top" align="center">620 (99.1%)</td>
<td valign="top" align="center">0.155</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">M1</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="center">5 (0.8%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data given as numbers (%) and means (&#xb1;SD). Chi square test was used to evaluate between-group differences in categorical variables and a <italic>p</italic> value &lt; 0.05 was deemed to indicate statistical significance.</p>
</fn>
<fn>
<p>TP, transplantation; BMI, Body mass index; PS, Performance status; ECOG, Eastern Cooperative Oncology Group; DM, diabetes mellitus.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Postoperative outcomes of the patients who underwent gastric cancer surgery after transplantation and under immunosuppressant.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="middle" align="center">TP group<break/>(N=30)</th>
<th valign="middle" align="center">None TP group<break/>(N= 625)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Resection extent</td>
<td valign="top" align="left">Total gastrectomy</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">123 (19.7%)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Distal gastrectomy</td>
<td valign="top" align="center">21 (70.0%)</td>
<td valign="top" align="center">501 (80.2%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">4 (13.3%)</td>
<td valign="top" align="center">1 (0.2%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">LN dissection</td>
<td valign="top" align="left">D0/D1/D1+</td>
<td valign="top" align="center">14 (46.7%)</td>
<td valign="top" align="center">163 (26.1%)</td>
<td valign="top" align="center">0.013</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">D2/D2+</td>
<td valign="top" align="center">16 (53.3%)</td>
<td valign="top" align="center">462 (73.9%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Operation time</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center">174.86 (&#xb1;68.5)</td>
<td valign="top" align="center">176.79 (&#xb1;49.09)</td>
<td valign="top" align="center">0.842</td>
</tr>
<tr>
<td valign="top" align="left">EBL</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center">94.00 (&#xb1;87.2)</td>
<td valign="top" align="center">106.07 (&#xb1;175.4)</td>
<td valign="top" align="center">0.732</td>
</tr>
<tr>
<td valign="top" align="left">Postoperative Hospital stays</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center">11.48 (&#xb1;6.3)</td>
<td valign="top" align="center">8.66 (&#xb1;4.8)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">Tumor size</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center">3.35 (&#xb1;3.3)</td>
<td valign="top" align="center">4.18 (&#xb1;3.51)</td>
<td valign="top" align="center">0.141</td>
</tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="top" align="left">Differentiated</td>
<td valign="top" align="center">20 (74.1%)</td>
<td valign="top" align="center">400 (64.2%)</td>
<td valign="top" align="center">0.294</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Undifferentiated</td>
<td valign="top" align="center">7 (25.9%)</td>
<td valign="top" align="center">223 (35.8%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Lymphatic invasion</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">13 (50.0%)</td>
<td valign="top" align="center">380 (60.8%)</td>
<td valign="top" align="center">0.270</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Present</td>
<td valign="top" align="center">13 (50.0%)</td>
<td valign="top" align="center">245 (39.2%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Vascular invasion</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">23 (88.5%)</td>
<td valign="top" align="center">530 (84.8%)</td>
<td valign="top" align="center">0.609</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Present</td>
<td valign="top" align="center">3 (11.5%)</td>
<td valign="top" align="center">95 (15.2%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Neural invasion</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">15 (60.0%)</td>
<td valign="top" align="center">494 (80.5%)</td>
<td valign="top" align="center">0.013</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Present</td>
<td valign="top" align="center">10 (40.0%)</td>
<td valign="top" align="center">120 (19.5%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Retrieved LNs</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center">22.21 (&#xb1;15.9)</td>
<td valign="top" align="center">43.98 (&#xb1;17.55)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">pT</td>
<td valign="top" align="left">T1</td>
<td valign="top" align="center">13 (44.8%)</td>
<td valign="top" align="center">408 (65.3%)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">T2</td>
<td valign="top" align="center">4 (13.8%)</td>
<td valign="top" align="center">58 (9.3%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">T3</td>
<td valign="top" align="center">2 (6.9%)</td>
<td valign="top" align="center">64 (10.2%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">T4</td>
<td valign="top" align="center">10 (33.4%)</td>
<td valign="top" align="center">95 (15.2%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">pN</td>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">13 (44.8%)</td>
<td valign="top" align="center">402 (64.8%)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">N1</td>
<td valign="top" align="center">3 (10.3%)</td>
<td valign="top" align="center">89 (14.2%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">N2</td>
<td valign="top" align="center">6 (20.7%)</td>
<td valign="top" align="center">59 (9.4%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">N3</td>
<td valign="top" align="center">6 (20.7%)</td>
<td valign="top" align="center">75 (12.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">pM</td>
<td valign="top" align="left">M0</td>
<td valign="top" align="center">24 (80.0%)</td>
<td valign="top" align="center">606 (97.0%)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">M1</td>
<td valign="top" align="center">6 (20.0%)</td>
<td valign="top" align="center">19 (3.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">p Stage</td>
<td valign="top" align="left">I</td>
<td valign="top" align="center">12 (40.0%)</td>
<td valign="top" align="center">408 (64.4%)</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">II</td>
<td valign="top" align="center">4 (13.4%)</td>
<td valign="top" align="center">94 (15.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">III</td>
<td valign="top" align="center">8 (26.7%)</td>
<td valign="top" align="center">104 (16.6%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="top" align="left">IV</td>
<td valign="top" align="center">6 (20.0%)</td>
<td valign="top" align="center">19 (3.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Total Complication</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="center">21 (70.0%)</td>
<td valign="middle" align="center">448 (71.7%)</td>
<td valign="middle" align="center">0.954</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Present</td>
<td valign="middle" align="center">9 (30.0%)</td>
<td valign="middle" align="center">177 (28.4%)</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data given as numbers (%) and means (&#xb1;SD). Chi square test was used to evaluate between-group differences in categorical variables and a <italic>p</italic> value &lt; 0.05 was deemed to indicate statistical significance.</p>
</fn>
<fn>
<p>TP, transplantation; EBL, estimated blood loss; LN, lymph node.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>There were no differences in the preoperative clinical stages. However, the pathological stage was significantly advanced in the TP group; thus, we analyzed the stage up-migration rates and related factors. <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> shows that the rates of up-migration from the clinical to the pathological stages (T, M, and final stages) were significantly higher in the TP group. Conversely, the down-migration rates of the T and final stages were significantly lower in the TP group (<italic>p</italic> = 0.022, <italic>p</italic> = 0.002, and <italic>p</italic> &lt; 0.001, respectively). The up-migration rate for the N stage was also higher in the TP group, although this difference was not statistically significant (<italic>p</italic> = 0.286). Univariate and multivariate analyses revealed that tumor location and TP were significant risk factors for T stage up-migration (<xref ref-type="table" rid="T4a">
<bold>Table&#xa0;4</bold>
</xref>-<xref ref-type="table" rid="T1">
<bold>1</bold>
</xref>; hazard ratio [HR] = 0.484, <italic>p</italic> = 0.007 and HR = 2.870, <italic>p</italic> = 0.010, respectively). For N stage up-migration, only tumor differentiation was significant in the multivariate analysis (<xref ref-type="table" rid="T4b">
<bold>Table&#xa0;4</bold>
</xref>-<xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>; HR = 0.661, <italic>p</italic> = 0.024). Age &gt; 60 years and TP were significant factors for M stage up-migration (<xref ref-type="table" rid="T4c">
<bold>Table&#xa0;4</bold>
</xref>-<xref ref-type="table" rid="T3">
<bold>3</bold>
</xref>; HR = 3.792, <italic>p</italic> = 0.019 and HR = 8.253, <italic>p</italic> &lt; 0.001, respectively). Final-stage up-migration risk factors were tumor location and TP in the univariate and multivariate analyses (<xref ref-type="table" rid="T4d">
<bold>Table&#xa0;4</bold>
</xref>-<xref ref-type="table" rid="T4a">
<bold>4</bold>
</xref>; HR = 0.484, <italic>p</italic> = 0.007 and HR = 3.799, <italic>p</italic> &lt; 0.001, respectively).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Proportion of the stage migration from the Clinical stage to the Pathologic stage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">TP group<break/>(N=30)</th>
<th valign="middle" align="center">None TP group<break/>(N= 625)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>T stage</bold>
</td>
<td valign="middle" align="left">Down (overestimation)</td>
<td valign="middle" align="center">2 (6.7%)</td>
<td valign="middle" align="center">138 (22.1%)</td>
<td valign="middle" align="center">0.022</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Same</td>
<td valign="middle" align="center">18 (60.0%)</td>
<td valign="middle" align="center">394 (63.0%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Up (underestimation)</td>
<td valign="middle" align="center">10 (33.3%)</td>
<td valign="middle" align="center">93 (14.9%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>N stage</bold>
</td>
<td valign="middle" align="left">Down (overestimation)</td>
<td valign="middle" align="center">1 (3.33%)</td>
<td valign="middle" align="center">29 (4.6%)</td>
<td valign="middle" align="center">0.286</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Same</td>
<td valign="middle" align="center">16 (53.3%)</td>
<td valign="middle" align="center">403 (64.5%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Up (underestimation)</td>
<td valign="middle" align="center">13 (43.3%)</td>
<td valign="middle" align="center">193 (30.9%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>M stage</bold>
</td>
<td valign="middle" align="left">Down (overestimation)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Same</td>
<td valign="middle" align="center">25 (83.3%)</td>
<td valign="middle" align="center">607 (97.1%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Up (underestimation)</td>
<td valign="middle" align="center">5 (16.7%)</td>
<td valign="middle" align="center">18 (2.9%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Final stage</bold>
</td>
<td valign="middle" align="left">Down (overestimation)</td>
<td valign="middle" align="center">1 (3.33%)</td>
<td valign="middle" align="center">65 (10.4%)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Same</td>
<td valign="middle" align="center">15 (50.0%)</td>
<td valign="middle" align="center">443 (70.9%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Up (underestimation)</td>
<td valign="middle" align="center">14 (46.7%)</td>
<td valign="middle" align="center">117 (18.7%)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data given as numbers (%). Chi square test was used to evaluate between-group differences in categorical variables and a <italic>p</italic> value &lt; 0.05 was deemed to indicate statistical significance.</p>
</fn>
<fn>
<p>TP, transplantation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4a" position="float">
<label>Table&#xa0;4-1</label>
<caption>
<p>Univariate and Multivariate analysis for the up-stage migration associated factors; from the clinical T stage to the pathologic T stage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center"/>
<th valign="top" rowspan="2" align="center"/>
<th valign="middle" rowspan="2" colspan="2" align="center">HR</th>
<th valign="middle" colspan="3" align="center">95% CI</th>
<th valign="middle" rowspan="2" align="center">P-value</th>
<th valign="middle" rowspan="2" align="center">HR</th>
<th valign="middle" colspan="4" align="center">95% CI</th>
<th valign="middle" rowspan="2" align="center">P-value</th>
</tr>
<tr>
<th valign="middle" align="center">lower</th>
<th valign="middle" colspan="2" align="center">upper</th>
<th valign="middle" colspan="3" align="center">lower</th>
<th valign="middle" align="center">upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">&lt; 60</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#x2265; 60</td>
<td valign="top" colspan="2" align="center">1.239</td>
<td valign="top" align="center">0.804</td>
<td valign="top" colspan="2" align="center">1.909</td>
<td valign="top" align="center">0.332</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">Male</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" colspan="2" align="center">0.881</td>
<td valign="top" align="center">0.564</td>
<td valign="top" colspan="2" align="center">1.376</td>
<td valign="top" align="center">0.578</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Comorbidity</td>
<td valign="top" align="left">HTN</td>
<td valign="top" colspan="2" align="center">0.899</td>
<td valign="top" align="center">0.577</td>
<td valign="top" colspan="2" align="center">1.400</td>
<td valign="top" align="center">0.637</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">DM</td>
<td valign="top" colspan="2" align="center">1.513</td>
<td valign="top" align="center">0.895</td>
<td valign="top" colspan="2" align="center">2.559</td>
<td valign="top" align="center">0.122</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="left">Never</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Quit</td>
<td valign="top" colspan="2" align="center">0.602</td>
<td valign="top" align="center">0.353</td>
<td valign="top" colspan="2" align="center">1.029</td>
<td valign="top" align="center">0.063</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Current</td>
<td valign="top" colspan="2" align="center">0.934</td>
<td valign="top" align="center">0.571</td>
<td valign="top" colspan="2" align="center">1.528</td>
<td valign="top" align="center">0.786</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="left">Never</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Social</td>
<td valign="top" colspan="2" align="center">1.050</td>
<td valign="top" align="center">0.602</td>
<td valign="top" colspan="2" align="center">1.831</td>
<td valign="top" align="center">0.863</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Heavy</td>
<td valign="top" colspan="2" align="center">0.840</td>
<td valign="top" align="center">0.470</td>
<td valign="top" colspan="2" align="center">1.500</td>
<td valign="top" align="center">0.556</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Tumor location</td>
<td valign="top" align="left">Upper 1/3</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Middle 1/3</td>
<td valign="top" colspan="2" align="center">0.538</td>
<td valign="top" align="center">0.376</td>
<td valign="top" colspan="2" align="center">1.666</td>
<td valign="top" align="center">0.538</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Lower 1/3</td>
<td valign="top" colspan="2" align="center">0.490</td>
<td valign="top" align="center">0.289</td>
<td valign="top" colspan="2" align="center">0.831</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.484</td>
<td valign="top" colspan="3" align="center">0.285</td>
<td valign="top" align="center">0.823</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="top" align="left">D</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">UD</td>
<td valign="top" colspan="2" align="center">0.898</td>
<td valign="top" align="center">0.574</td>
<td valign="top" colspan="2" align="center">1.404</td>
<td valign="top" align="center">0.637</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Immunosuppressant</td>
<td valign="top" align="left">No</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Yes</td>
<td valign="top" colspan="2" align="center">2.860</td>
<td valign="top" align="center">1.298</td>
<td valign="top" colspan="2" align="center">6.305</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">2.870</td>
<td valign="top" colspan="3" align="center">1.291</td>
<td valign="top" align="center">6.379</td>
<td valign="top" align="center">0.010</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HR, Hazard Ratio; CI, confidence interval; HTN, Hypertension; DM, diabetes mellitus; D, differentiated; UD, undifferentiated.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4b" position="float">
<label>Table&#xa0;4-2</label>
<caption>
<p>Univariate and Multivariate analysis for the up-stage migration associated factors; from the clinical N stage to the pathologic N stage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">&#xa0;</th>
<th valign="top" rowspan="2" align="left">&#xa0;</th>
<th valign="middle" rowspan="2" align="center">HR</th>
<th valign="middle" colspan="4" align="center">95% CI</th>
<th valign="middle" rowspan="2" align="center">P-value</th>
<th valign="middle" rowspan="2" align="center">HR</th>
<th valign="middle" colspan="4" align="center">95% CI</th>
<th valign="middle" rowspan="2" align="center">P-value</th>
</tr>
<tr>
<th valign="middle" colspan="2" align="center">lower</th>
<th valign="middle" colspan="2" align="center">upper</th>
<th valign="middle" colspan="3" align="center">lower</th>
<th valign="middle" align="center">upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">&lt; 60</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" colspan="3" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#x2265; 60</td>
<td valign="top" align="center">1.971</td>
<td valign="top" colspan="2" align="center">1.391</td>
<td valign="top" colspan="2" align="center">2.793</td>
<td valign="top" align="center">&lt; 0.001</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">0.912</td>
<td valign="top" colspan="2" align="center">0.645</td>
<td valign="top" colspan="2" align="center">1.290</td>
<td valign="top" align="center">0.602</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Comorbidity</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">HTN</td>
<td valign="top" align="center">1.386</td>
<td valign="top" colspan="2" align="center">0.987</td>
<td valign="top" colspan="2" align="center">1.947</td>
<td valign="top" align="center">0.059</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">DM</td>
<td valign="top" align="center">1.398</td>
<td valign="top" colspan="2" align="center">0.907</td>
<td valign="top" colspan="2" align="center">2.156</td>
<td valign="top" align="center">0.129</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="left">Never</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Quit</td>
<td valign="top" align="center">0.723</td>
<td valign="top" colspan="2" align="center">0.483</td>
<td valign="top" colspan="2" align="center">1.083</td>
<td valign="top" align="center">0.115</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Current</td>
<td valign="top" align="center">0.989</td>
<td valign="top" colspan="2" align="center">0.666</td>
<td valign="top" colspan="2" align="center">1.467</td>
<td valign="top" align="center">0.959</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="left">Never</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Social</td>
<td valign="top" align="center">0.781</td>
<td valign="top" colspan="2" align="center">0.539</td>
<td valign="top" colspan="2" align="center">1.131</td>
<td valign="top" align="center">0.191</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Heavy</td>
<td valign="top" align="center">0.765</td>
<td valign="top" colspan="2" align="center">0.489</td>
<td valign="top" colspan="2" align="center">1.198</td>
<td valign="top" align="center">0.242</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Tumor location</td>
<td valign="top" align="left">Upper 1/3</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Middle 1/3</td>
<td valign="top" align="center">0.974</td>
<td valign="top" colspan="2" align="center">0.505</td>
<td valign="top" colspan="2" align="center">1.878</td>
<td valign="top" align="center">0.937</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Lower 1/3</td>
<td valign="top" align="center">0.970</td>
<td valign="top" colspan="2" align="center">0.611</td>
<td valign="top" colspan="2" align="center">1.539</td>
<td valign="top" align="center">0.897</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="top" align="left">D</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">UD</td>
<td valign="top" align="center">0.666</td>
<td valign="top" colspan="2" align="center">0.465</td>
<td valign="top" colspan="2" align="center">0.953</td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center">0.661</td>
<td valign="top" colspan="3" align="center">0.462</td>
<td valign="top" align="center">0.946</td>
<td valign="top" align="center">0.024</td>
</tr>
<tr>
<td valign="top" align="left">Immunosuppressant</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">1.712</td>
<td valign="top" colspan="2" align="center">0.815</td>
<td valign="top" colspan="2" align="center">3.594</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HR, Hazard Ratio; CI, confidence interval; HTN, Hypertension; DM, diabetes mellitus; D, differentiated; UD, undifferentiated.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4c" position="float">
<label>Table&#xa0;4-3</label>
<caption>
<p>Univariate and Multivariate analysis for the up-stage migration associated factors; from the clinical M stage to the pathologic M stage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">&#xa0;</th>
<th valign="top" rowspan="2" align="left">&#xa0;</th>
<th valign="middle" rowspan="2" colspan="2" align="center">HR</th>
<th valign="middle" colspan="3" align="center">95% CI</th>
<th valign="middle" rowspan="2" align="center">P-value</th>
<th valign="middle" rowspan="2" colspan="3" align="center">HR</th>
<th valign="middle" colspan="2" align="center">95% CI</th>
<th valign="middle" rowspan="2" align="center">P-value</th>
</tr>
<tr>
<th valign="middle" colspan="2" align="center">lower</th>
<th valign="middle" align="center">upper</th>
<th valign="middle" align="center">lower</th>
<th valign="middle" align="center">upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">&lt; 60</td>
<td valign="middle" colspan="2" align="center"/>
<td valign="middle" colspan="2" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" colspan="3" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#x2265; 60</td>
<td valign="top" colspan="2" align="center">3.400</td>
<td valign="top" colspan="2" align="center">1.138</td>
<td valign="top" align="center">10.161</td>
<td valign="top" align="center">0.028</td>
<td valign="top" colspan="3" align="center">3.792</td>
<td valign="top" align="center">1.244</td>
<td valign="top" align="center">11.560</td>
<td valign="top" align="center">0.019</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">Male</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" colspan="2" align="center">0.791</td>
<td valign="top" colspan="2" align="center">0.321</td>
<td valign="top" align="center">1.952</td>
<td valign="top" align="center">0.612</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Comorbidity</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">HTN</td>
<td valign="top" colspan="2" align="center">3.487</td>
<td valign="top" colspan="2" align="center">1.456</td>
<td valign="top" align="center">8.352</td>
<td valign="top" align="center">0.005</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">DM</td>
<td valign="top" colspan="2" align="center">1.460</td>
<td valign="top" colspan="2" align="center">0.530</td>
<td valign="top" align="center">4.023</td>
<td valign="top" align="center">0.464</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="left">Never</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Quit</td>
<td valign="top" colspan="2" align="center">0.470</td>
<td valign="top" colspan="2" align="center">0.166</td>
<td valign="top" align="center">1.327</td>
<td valign="top" align="center">0.154</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Current</td>
<td valign="top" colspan="2" align="center">0.392</td>
<td valign="top" colspan="2" align="center">0.127</td>
<td valign="top" align="center">1.211</td>
<td valign="top" align="center">0.104</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="left">Never</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Social</td>
<td valign="top" colspan="2" align="center">0.194</td>
<td valign="top" colspan="2" align="center">0.056</td>
<td valign="top" align="center">0.675</td>
<td valign="top" align="center">0.010</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Heavy</td>
<td valign="top" colspan="2" align="center">0.487</td>
<td valign="top" colspan="2" align="center">0.159</td>
<td valign="top" align="center">1.485</td>
<td valign="top" align="center">0.206</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Tumor location</td>
<td valign="top" align="left">Upper 1/3</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Middle 1/3</td>
<td valign="top" colspan="2" align="center">0.951</td>
<td valign="top" colspan="2" align="center">0.155</td>
<td valign="top" align="center">5.845</td>
<td valign="top" align="center">0.957</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Lower 1/3</td>
<td valign="top" colspan="2" align="center">1.246</td>
<td valign="top" colspan="2" align="center">0.360</td>
<td valign="top" align="center">4.314</td>
<td valign="top" align="center">0.728</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="top" align="left">D</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">UD</td>
<td valign="top" colspan="2" align="center">0.910</td>
<td valign="top" colspan="2" align="center">0.362</td>
<td valign="top" align="center">2.289</td>
<td valign="top" align="center">0.842</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Transplantation</td>
<td valign="top" align="left">No</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Yes</td>
<td valign="top" colspan="2" align="center">6.744</td>
<td valign="top" colspan="2" align="center">2.317</td>
<td valign="top" align="center">19.633</td>
<td valign="top" align="center">0.000</td>
<td valign="top" colspan="3" align="center">8.253</td>
<td valign="top" align="center">2.730</td>
<td valign="top" align="center">24.949</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HR: Hazard Ratio, CI: confidence interval, HTN; Hypertension, DM: diabetes mellitus, D; differentiated, UD; undifferentiated.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4d" position="float">
<label>Table&#xa0;4-4</label>
<caption>
<p>Univariate and Multivariate analysis for the up-stage migration associated factors; from the clinical total stage to the pathologic total stage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">&#xa0;</th>
<th valign="top" rowspan="2" align="left">&#xa0;</th>
<th valign="middle" rowspan="2" colspan="2" align="center">HR</th>
<th valign="middle" colspan="3" align="center">95% CI</th>
<th valign="middle" rowspan="2" align="center">P-value</th>
<th valign="middle" rowspan="2" colspan="2" align="center">HR</th>
<th valign="middle" colspan="3" align="center">95% CI</th>
<th valign="middle" rowspan="2" align="center">P-value</th>
</tr>
<tr>
<th valign="middle" colspan="2" align="center">lower</th>
<th valign="middle" align="center">upper</th>
<th valign="middle" colspan="2" align="center">lower</th>
<th valign="middle" align="center">upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">&lt; 60</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#x2265; 60</td>
<td valign="top" colspan="2" align="center">1.316</td>
<td valign="top" colspan="2" align="center">0.886</td>
<td valign="top" align="center">1.955</td>
<td valign="top" align="center">0.174</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">Male</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" colspan="2" align="center">0.983</td>
<td valign="top" colspan="2" align="center">0.659</td>
<td valign="top" align="center">1.468</td>
<td valign="top" align="center">0.935</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Comorbidity</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">HTN</td>
<td valign="top" colspan="2" align="center">1.427</td>
<td valign="top" colspan="2" align="center">0.966</td>
<td valign="top" align="center">2.108</td>
<td valign="top" align="center">0.074</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">DM</td>
<td valign="top" colspan="2" align="center">1.209</td>
<td valign="top" colspan="2" align="center">0.732</td>
<td valign="top" align="center">1.996</td>
<td valign="top" align="center">0.458</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="left">Never</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Quit</td>
<td valign="top" colspan="2" align="center">0.600</td>
<td valign="top" colspan="2" align="center">0.377</td>
<td valign="top" align="center">0.955</td>
<td valign="top" align="center">0.031</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Current</td>
<td valign="middle" colspan="2" align="center">0.589</td>
<td valign="middle" colspan="2" align="center">0.366</td>
<td valign="middle" align="center">0.946</td>
<td valign="middle" align="center">0.028</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="left">Never</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Social</td>
<td valign="top" colspan="2" align="center">0.723</td>
<td valign="top" colspan="2" align="center">0.474</td>
<td valign="top" align="center">1.102</td>
<td valign="top" align="center">0.131</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Heavy</td>
<td valign="middle" colspan="2" align="center">0.478</td>
<td valign="middle" colspan="2" align="center">0.271</td>
<td valign="middle" align="center">0.844</td>
<td valign="middle" align="center">0.011</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Tumor location</td>
<td valign="top" align="left">Upper 1/3</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Middle 1/3</td>
<td valign="top" colspan="2" align="left">&#xa0;0.946</td>
<td valign="top" colspan="2" align="center">0.486</td>
<td valign="top" align="center">2.165</td>
<td valign="top" align="center">0.946</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Lower 1/3</td>
<td valign="middle" colspan="2" align="center">0.916</td>
<td valign="middle" colspan="2" align="center">0.539</td>
<td valign="middle" align="center">1.558</td>
<td valign="middle" align="center">0.747</td>
<td valign="middle" colspan="2" align="center">0.484</td>
<td valign="middle" colspan="2" align="center">0.285</td>
<td valign="middle" align="center">0.823</td>
<td valign="middle" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="top" align="left">D</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">UD</td>
<td valign="top" colspan="2" align="center">0.906</td>
<td valign="top" colspan="2" align="center">0.603</td>
<td valign="top" align="center">1.363</td>
<td valign="top" align="center">0.636</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Transplantation</td>
<td valign="top" align="left">No</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" colspan="2" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" colspan="2" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Yes</td>
<td valign="top" colspan="2" align="center">2.870</td>
<td valign="top" colspan="2" align="center">1.291</td>
<td valign="top" align="center">6.379</td>
<td valign="top" align="center">0.010</td>
<td valign="top" colspan="2" align="center">3.799</td>
<td valign="top" colspan="2" align="center">1.804</td>
<td valign="top" align="center">8.002</td>
<td valign="top" align="center">&lt; 0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HR, Hazard Ratio; CI, confidence interval; HTN, Hypertension; DM, diabetes mellitus; D, differentiated; UD, undifferentiated.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Propensity score matching was performed to compensate for the clinical differences in factors affecting postoperative outcomes and to compare surgical safety. Age, sex, comorbidities, tumor location, smoking/alcohol status, and clinical/pathological stages were balanced between the two groups after matching, whereas BMI and ECOG status remained different (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>, <italic>p</italic> = 0.002 and <italic>p</italic> = 0.037, respectively). No significant differences in postoperative outcomes were observed between the two groups, including operating time, excessive blood loss. In terms of postoperative recovery, the total incidence of complications (30.0 <italic>vs</italic> 40.0%, <italic>P</italic> = 0.417) and of severe Clavien&#x2013;Dindo III-V complications (16.7 <italic>vs</italic> 13.4%, <italic>P</italic> = 0.417) did not differ significantly between the two groups (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). There was no significant difference between the groups in rates of intra-abdominal infection, anastomosis leakage or wound infection, which could potentially be affected by immunosuppressants, (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>, 10 <italic>vs</italic> 13.3%), or in respiratory complications (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>, 3.3 <italic>vs</italic> 6.6%). We also analyzed whether there was a relationship between the type of immunosuppressant prescribed and the complication rate or type of complication, but no statistically significant results were found (data not shown).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Preoperative clinical characteristics of the patients who underwent gastric cancer surgery after transplantation and under immunosuppressant (After 1:1 Propensity score matching).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">TP group<break/>(N=30)</th>
<th valign="middle" align="center">None TP group<break/>(N= 30)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left"/>
<td valign="top" align="center">59.23 (&#xb1;12.62)</td>
<td valign="top" align="center">64.03 (&#xb1;10.70)</td>
<td valign="top" align="center">0.118</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">M</td>
<td valign="top" align="center">20 (66.7%)</td>
<td valign="top" align="center">13 (43.3%)</td>
<td valign="top" align="center">0.069</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">F</td>
<td valign="top" align="center">10 (33.3%)</td>
<td valign="top" align="center">17 (56.7%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="left"/>
<td valign="top" align="center">20.87 (3.24)</td>
<td valign="top" align="center">23.62 (3.05)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">PS (ECOG)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">14 (46.7%)</td>
<td valign="top" align="center">0.037</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">1</td>
<td valign="top" align="center">22 (73.3%)</td>
<td valign="top" align="center">11 (36.7%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">2</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="center">3 (110.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">3</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Type of TP</td>
<td valign="top" align="left">Kidney</td>
<td valign="top" align="center">19 (63.3%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Liver</td>
<td valign="top" align="center">4 (13.3%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Heart</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Bone marrow</td>
<td valign="top" align="center">6 (20.0%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Type of immunosuppressant</td>
<td valign="top" align="left">CNI</td>
<td valign="top" align="center">30 (100%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">m-TOR inhibitor</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Steroids</td>
<td valign="top" align="center">19 (63.3%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Comorbidity</td>
<td valign="top" align="left">none</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">18 (60.0%)</td>
<td valign="top" align="center">16 (53.3%)</td>
<td valign="top" align="center">0.602</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">DM</td>
<td valign="top" align="center">16 (53.3%)</td>
<td valign="top" align="center">12 (40.0%)</td>
<td valign="top" align="center">0.301</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Pulmonary</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="center">0.554</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">29 (96.7%)</td>
<td valign="top" align="center">27 (90.0%)</td>
<td valign="top" align="center">0.301</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="left">None</td>
<td valign="top" align="center">27 (90.0%)</td>
<td valign="top" align="center">28 (93.3%)</td>
<td valign="top" align="center">0.839</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Ex-smoker</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Current smoker</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="left">None</td>
<td valign="top" align="center">29 (96.7%)</td>
<td valign="top" align="center">28 (93.3%)</td>
<td valign="top" align="center">0.554</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Social drinking</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Heavy drinking</td>
<td valign="top" align="center">1 (0%)</td>
<td valign="top" align="center">1 (0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Cancer location</td>
<td valign="top" align="left">Upper 1/3</td>
<td valign="top" align="center">4 (13.3%)</td>
<td valign="top" align="center">3 (10.0%)</td>
<td valign="top" align="center">0.656</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Middle 1/3</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">3 (10.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">Lower 1/3</td>
<td valign="top" align="center">21 (70.0%)</td>
<td valign="top" align="center">24 (80.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">cT</td>
<td valign="top" align="left">T1</td>
<td valign="top" align="center">15 (50.0%)</td>
<td valign="top" align="center">12 (40.0%)</td>
<td valign="top" align="center">0.860</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">T2</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">7 (23.3%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">T3</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">T4</td>
<td valign="top" align="center">5 (16.7%)</td>
<td valign="top" align="center">6 (20.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">cN</td>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">25 (83.3%)</td>
<td valign="top" align="center">25 (83.3%)</td>
<td valign="top" align="center">0.753</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">N1</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">N2</td>
<td valign="top" align="center">2 (6.7%)</td>
<td valign="top" align="center">3 (10.0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">N3</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">cM</td>
<td valign="top" align="left">M0</td>
<td valign="top" align="center">29 (96.7%)</td>
<td valign="top" align="center">30 (100%)</td>
<td valign="top" align="center">0.313</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">M1</td>
<td valign="top" align="center">1 (3.3%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="left">&#xa0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data given as numbers (%). Chi square test was used to evaluate between-group differences in categorical variables and a <italic>p</italic> value &lt; 0.05 was deemed to indicate statistical significance.</p>
</fn>
<fn>
<p>TP, transplantation; BMI, Body mass index; PS, Performance status; ECOG, Eastern Cooperative Oncology Group; DM, diabetes mellitus .</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Postoperative outcomes of the patients who underwent gastric cancer surgery after transplantation and under immunosuppressants (After 1:1 Propensity matching).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">TP group<break/>(N=30)</th>
<th valign="middle" align="center">None TP group<break/>(N= 30)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Resection extent</td>
<td valign="middle" align="left">Total gastrectomy</td>
<td valign="middle" align="center">5 (16.7%)</td>
<td valign="middle" align="center">3 (10.0%)</td>
<td valign="middle" align="center">0.258</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">Distal gastrectomy</td>
<td valign="middle" align="center">21 (70.0%)</td>
<td valign="middle" align="center">26 (86.7%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">Others</td>
<td valign="middle" align="center">4 (13.3%)</td>
<td valign="middle" align="center">1 (3.3%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">LN dissection</td>
<td valign="middle" align="left">D0/D1/D1+</td>
<td valign="middle" align="center">14 (46.7%)</td>
<td valign="middle" align="center">9 (30.0%)</td>
<td valign="middle" align="center">0.184</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">D2/D2+</td>
<td valign="middle" align="center">16 (53.3%)</td>
<td valign="middle" align="center">21 (70.0%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Operation time</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="center">174.86 (&#xb1;68.57)</td>
<td valign="middle" align="center">163.93 (&#xb1;43.97)</td>
<td valign="middle" align="center">0.470</td>
</tr>
<tr>
<td valign="middle" align="left">EBL</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="center">94.00 (&#xb1;87.23)</td>
<td valign="middle" align="center">141.83 (&#xb1;213.44)</td>
<td valign="middle" align="center">0.299</td>
</tr>
<tr>
<td valign="middle" align="left">Postoperative Hospital stays</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="center">11.48 (&#xb1;6.35)</td>
<td valign="middle" align="center">8.90 (&#xb1;5.07)</td>
<td valign="middle" align="center">0.089</td>
</tr>
<tr>
<td valign="middle" align="left">Total Complication</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="center">21 (70.0%)</td>
<td valign="middle" align="center">18 (60.0%)</td>
<td valign="middle" align="center">0.417</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">Present</td>
<td valign="middle" align="center">9 (30.0%)</td>
<td valign="middle" align="center">12 (40.0%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">pulmonary</td>
<td valign="middle" align="center">2 (22.2%)</td>
<td valign="middle" align="center">4 (33.3%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">Anastomosis leakage</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">Duodenal stump leakage</td>
<td valign="middle" align="center">2 (22.2%)</td>
<td valign="middle" align="center">1 (8.4%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">Postop bleeding</td>
<td valign="middle" align="center">3 (33.3%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">Wound infection</td>
<td valign="middle" align="center">1 (11.1%)</td>
<td valign="middle" align="center">3 (25.0%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">other</td>
<td valign="middle" align="center">4 (44.4%)</td>
<td valign="middle" align="center">4 (33.3%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">C-D III-V</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="center">25 (83.3%)</td>
<td valign="middle" align="center">26 (86.6%)</td>
<td valign="middle" align="center">0.676</td>
</tr>
<tr>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">Present</td>
<td valign="middle" align="center">5 (16.7%)</td>
<td valign="middle" align="center">4 (13.4%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">pStage</td>
<td valign="middle" align="left">I</td>
<td valign="middle" align="center">12 (40.0%)</td>
<td valign="middle" align="center">17 (56.7%)</td>
<td valign="middle" align="center">0.662</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">II</td>
<td valign="middle" align="center">4 (13.4%)</td>
<td valign="middle" align="center">4 (13.3%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="middle" align="left">III</td>
<td valign="middle" align="center">8 (26.7%)</td>
<td valign="middle" align="center">7 (23.4%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="middle" align="left">IV</td>
<td valign="middle" align="center">6 (20.0%)</td>
<td valign="middle" align="center">2 (6.7%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor size</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="center">3.35 (&#xb1;3.37)</td>
<td valign="middle" align="center">4.88 (&#xb1;4.37)</td>
<td valign="middle" align="center">0.144</td>
</tr>
<tr>
<td valign="middle" align="left">Differentiation</td>
<td valign="middle" align="left">Differentiated</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="middle" align="left">Undifferentiated</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Lymphatic invasion</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="center">13 (50.0%)</td>
<td valign="middle" align="center">15 (50.0%)</td>
<td valign="middle" align="center">0.999</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="middle" align="left">Present</td>
<td valign="middle" align="center">13 (50.0%)</td>
<td valign="middle" align="center">15 (50.0%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Vascular invasion</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="center">23 (88.5%)</td>
<td valign="middle" align="center">24 (80.0%)</td>
<td valign="middle" align="center">0.390</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="middle" align="left">Present</td>
<td valign="middle" align="center">3 (11.5%)</td>
<td valign="middle" align="center">6 (20.0%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Neural invasion</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="center">15 (60.0%)</td>
<td valign="middle" align="center">19 (67.9%)</td>
<td valign="middle" align="center">0.552</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>&#xa0;</bold>
</td>
<td valign="middle" align="left">Present</td>
<td valign="middle" align="center">10 (40.0%)</td>
<td valign="middle" align="center">9 (32.1%)</td>
<td valign="middle" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Retrieved LNs</td>
<td valign="middle" align="left">&#xa0;</td>
<td valign="middle" align="center">22.21 (&#xb1;15.99)</td>
<td valign="middle" align="center">39.53 (&#xb1;16.25)</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data given as numbers (%). Chi square test was used to evaluate between-group differences in categorical variables and a <italic>p</italic> value &lt; 0.05 was deemed to indicate statistical significance.</p>
</fn>
<fn>
<p>TP, transplantation; LNs, lymph nodes; EBL, estimated blood loss; C-D, Clavian-Dindo.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Among the total 655 patients, Stage 2 and 3 patients were 198 and 12 in the non-TP and TP groups, respectively. There was no significant difference in the proportion of adjuvant chemotherapy between the two groups (48.48% <italic>vs</italic> 58.33%, respectively. P =0.352). In terms of overall survival, the TP group showed significantly worse prognosis in stages I, II, and IV (<italic>P</italic> &lt; 0.001<italic>, P</italic> = 0.039 and 0.007, respectively, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). In disease free survival, the TP group showed worse prognosis in stage I, and there was no significant difference in stage II and III (<italic>P</italic> &lt; 0.001<italic>, P</italic> = 0.562 and 0.083, respectively, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>). In a review of patients who had recurrence in Stage I, there were three patients in the TP group. Despite securing safe pathologic margins of more than 2 cm, recurrence occurred in all patients at the remnant stomach. And recurrence occurred within 1 year in two patients, raising the possibility of synchronous cancer.</p>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Many studies have shown that the use of immunosuppressive drugs decreases the immune surveillance that suppresses host cancer and cancer-related viral proliferation (<xref ref-type="bibr" rid="B12">12</xref>), thereby increasing cancer incidence and decreasing natural killer cell activity (<xref ref-type="bibr" rid="B13">13</xref>), which is closely related to cancer occurrence. Regardless of the immunosuppressive effect, immunosuppressants induce cancer by producing cytokines (<xref ref-type="bibr" rid="B14">14</xref>), such as transforming growth factor-&#x3b2; and vascular endothelial growth factor (VEGF); in contrast, drugs such as azathioprine induce cancer by interfering with DNA damage repair (<xref ref-type="bibr" rid="B15">15</xref>). Although there is minimal evidence that any specific drug causes a particular cancer, there are reports regarding the associations of various immunosuppressants with cancer.</p>
<p>Calcineurin inhibitors, which are mainly used after liver and kidney transplantation, contribute to cancer development by increasing cytokines such as transforming growth factor-&#x3b2;, VEGF, and interleukin-6 (<xref ref-type="bibr" rid="B14">14</xref>). Conversely, mammalian target of rapamycin (mTOR) inhibitors, such as sirolimus, reduce the incidence of cancer by suppressing p70 S6K, interleukin-10, and cyclin; downregulating VEGF; and inducing apoptosis (<xref ref-type="bibr" rid="B4">4</xref>). Mycophenolate mofetil (MMF) inhibits inosine monophosphate dehydrogenase and blocks purine biosynthesis to produce an immunosuppressive effect. MMF can reduce the risks of some cancers that contain large amounts of inosine monophosphate dehydrogenase (<xref ref-type="bibr" rid="B16">16</xref>). However, the incidence of cancer was reportedly high when immunosuppressants were combined with MMF (<xref ref-type="bibr" rid="B16">16</xref>), so additional basic research is needed concerning specific immunosuppressants and the mechanism of cancer development.</p>
<p>Gastric cancer is associated with <italic>Helicobacter pylori</italic> and Epstein&#x2013;Barr virus infection (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). The rate of <italic>de novo</italic> gastric cancer after transplantation is much higher in Korea than in Western countries (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Furthermore, the <italic>H</italic>. <italic>pylori</italic> infection rate is nearly twice as high in kidney transplant patients, which may partially explain the high incidence of gastric cancer among transplant patients in Korea (<xref ref-type="bibr" rid="B21">21</xref>). This pattern also appears in human papillomavirus-related cervical cancer (<xref ref-type="bibr" rid="B22">22</xref>). The human papillomavirus infection rate is high in Korea; the incidence of cervical cancer in transplant patients is also high (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Few studies have investigated the short- or long-term outcomes of gastric cancer surgery after transplantation. One study revealed similar perioperative and short-term outcomes of gastric cancer surgery between patients with and without a history of organ transplantation, including kidney, liver, and heart transplantation (<xref ref-type="bibr" rid="B24">24</xref>). However, the transplant patient group had worse long-term survival outcomes, compared with the non-transplant group. This finding is consistent with our results; patients taking immunosuppressive drugs safely underwent radical gastrectomy without any short-term postoperative differences.</p>
<p>Notably, many patients had a more advanced form of disease than had been determined preoperatively, and the use of immunosuppressive drugs was a significant factor in up-migration. This novel finding will be very important in determining the treatment plan when cancer occurs in transplant patients. A possible explanation for this finding is that the immunosuppressive drug itself interfered with the cancer surveillance system. As a lymph node enlarges, inflammation develops in the peri-tumor environment, ulcers occur, and the gastric wall thickens, enabling estimation of the clinical stage. The stage may have been underestimated because a sufficient anti-cancer immune reaction did not occur. Accordingly, patients taking immunosuppressants require regular follow-up and cancer screening. One study showed a survival benefit of regular follow-up after transplantation. For gastric cancer patients, the regular follow-up group had better 2-year survival with a higher rate of early gastric cancer detection (survival 93.1% <italic>vs</italic>. 33.3%, <italic>p</italic> = 0.006) (<xref ref-type="bibr" rid="B25">25</xref>). Therefore, active <italic>H</italic>. <italic>pylori</italic> eradication treatment would be helpful, based on regular <italic>H</italic>. <italic>pylori</italic> testing and endoscopy screening in transplant patients.</p>
<p>Some transplant patients at advanced cancer stages may not receive adjuvant chemotherapy because of concerns about graft failure during the use of chemotherapy drugs that could adversely affect the function of the transplanted graft. Even after the start of chemotherapy, the compliance and completion rates may be lowered depending on graft function, so complete surgical treatment should be considered more important than in the general patient population. When early gastric cancer is clinically diagnosed, an appropriate margin should be secured and sufficient lymph node dissection (such as D2 dissection) should be performed, considering the possibility of an advanced tumor and lymph node metastasis. Our study results showed that there was no difference in the proportion of adjuvant chemotherapy between the groups. Although there was no statistical difference in the recurrence rate between the two groups, the TP group showed a worse prognosis in terms of overall survivals, it may have been due to causes other than cancer recurrence. And this suggests that aggressive treatment with curative intent for gastric cancer may be effective in systemic control of gastric cancer. However, the high rate of recurrence in the remnant stomach among stage I patients in the TP group shows how important it is to decide on curative surgery in patients preoperatively diagnosed with early gastric cancer.</p>
<p>This study had several limitations. First, it used retrospective data for a small number of patients with histories of organ transplantation. Second, there was no information concerning <italic>H</italic>. <italic>pylori</italic> or Epstein&#x2013;Barr virus infection status which could have been influenced to gastric cancer development. Third, the cohort of patients with prior history of transplantation was obtained from 1990-2021 spanning over 31 year when the method and quality of clinical staging has likely improved over the period of time. Therefore, this includes the possibility that it may have contributed to migration in the perioperative stage. Fourth, a history of organ transplantation might bias analysis of a patient&#x2019;s postoperative safety. However, the important point in this analysis is that the effect of the immunosuppressants themselves was considered the main factor, rather than the type of transplant. Kidney transplantation involves transplanting a kidney into the retroperitoneum of the right lower quadrant of the abdomen; the surgical field is different from that of stomach cancer surgery and has little effect in most cases. When performing stomach cancer surgery, a history of liver transplantation is probably the biggest obstacle. This analysis included four liver transplant patients, and among them only two cases experienced minor complications&#x2014;a minor wound infection and gastric stasis treated with conservative care&#x2014;and there were no severe complications. If more patients can be registered in the future, subgroup analysis for each transplant type will be necessary.</p>
<p>Many studies have shown that the systemic immune capacity determines the prognosis of cancer treatment, although no prior study has examined patients taking immunosuppressive drugs; research is needed concerning ways to increase the effect of systemic therapy including for adjuvant or palliative purpose. However, a strength of our study is that it is the first to reveal the possibility of the stage being underestimated preoperatively, based on the hypothesis that taking immunosuppressants does not simply increase the incidence of <italic>de novo</italic> cancer, but also affects the treatment plan and perioperative procedures. This will serve as a cornerstone for examining the long-term impact of active treatment on the oncologic outcomes of transplant patients, confirming postoperative safety.</p>
<p>In conclusion, radical gastrectomy can be a safe oncological procedure for gastric cancer patients who are taking immunosuppressant agents after transplantation. Considering the immunosuppressed condition of those patients and the possibility of under-diagnosing gastric cancer, early detection with endoscopic screening and treatment with curative intent are needed.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>All data and materials are available upon request. Anyone who wants the data should contact YJ.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Review Board of the College of Medicine, Catholic University of Korea (KC22RISI0943). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>JL: Investigation, Writing &#x2013; original draft. SJK: Data curation, Formal Analysis, Investigation, Writing &#x2013; review &amp; editing. HS: Conceptualization, Investigation, Methodology, Writing &#x2013; review &amp; editing. HL: Conceptualization, Methodology, Supervision, Writing &#x2013; review &amp; editing. SGK: Conceptualization, Methodology, Supervision, Writing &#x2013; review &amp; editing. KJ: Data curation, Investigation, Methodology, Supervision, Writing &#x2013; review &amp; editing. KS: Conceptualization, Investigation, Methodology, Supervision, Writing &#x2013; review &amp; editing. YJ: Conceptualization, Supervision, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2023.1264628/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2023.1264628/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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