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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">CRT</journal-id>
<journal-title-group>
<journal-title>Cancer Research and Treatment : Official Journal of Korean Cancer Association</journal-title><abbrev-journal-title>Cancer Res Treat</abbrev-journal-title></journal-title-group>
<issn pub-type="ppub">1598-2998</issn>
<issn pub-type="epub">2005-9256</issn>
<publisher>
<publisher-name>Korean Cancer Association</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.4143/crt.2021.997</article-id>
<article-id pub-id-type="publisher-id">crt-2021-997</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
<subj-group subj-group-type="heading">
<subject>Gastrointestinal cancer</subject>
</subj-group></subj-group></article-categories>
<title-group>
<article-title>Aberrant DNA Methylation Maker for Predicting Metachronous Recurrence After Endoscopic Resection of Gastric Neoplasms</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2265-9845</contrib-id>
<name><surname>Shin</surname><given-names>Cheol Min</given-names></name><xref rid="af1-crt-2021-997" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9397-0406</contrib-id>
<name><surname>Kim</surname><given-names>Nayoung</given-names></name><xref rid="af1-crt-2021-997" ref-type="aff">1</xref><xref rid="af2-crt-2021-997" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Yoon</surname><given-names>Hyuk</given-names></name><xref rid="af1-crt-2021-997" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Choi</surname><given-names>Yoon Jin</given-names></name><xref rid="af1-crt-2021-997" ref-type="aff">1</xref><xref rid="af3-crt-2021-997" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Ji Hyun</given-names></name><xref rid="af2-crt-2021-997" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Young Soo</given-names></name><xref rid="af1-crt-2021-997" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6376-410X</contrib-id>
<name><surname>Lee</surname><given-names>Dong Ho</given-names></name><xref rid="af1-crt-2021-997" ref-type="aff">1</xref><xref rid="af2-crt-2021-997" ref-type="aff">2</xref></contrib></contrib-group>
<aff id="af1-crt-2021-997">
<label>1</label>Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, 
<country>Korea</country></aff>
<aff id="af2-crt-2021-997">
<label>2</label>Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, 
<country>Korea</country></aff>
<aff id="af3-crt-2021-997">
<label>3</label>Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, 
<country>Korea</country></aff>
<author-notes>
<corresp id="c1-crt-2021-997">Correspondence: Nayoung Kim, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro 173 beon-gil, Bundang-gu, Seongnam 13620, Korea, Tel: 82-31-787-7008 Fax: 82-31-787-4051 E-mail: <email>nayoungkim49@empas.com</email></corresp>
<corresp id="c2-crt-2021-997">Co-correspondence: Dong Ho Lee, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro 173 beon-gil, Bundang-gu, Seongnam 13620, Korea, Tel: 82-31-787-7006 Fax: 82-31-787-4051 E-mail: <email>dhljohn@yahoo.co.kr</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>10</month>
<year>2022</year></pub-date>
<pub-date pub-type="epub">
<day>18</day>
<month>01</month>
<year>2022</year></pub-date>
<volume>54</volume>
<issue>4</issue>
<fpage>1157</fpage>
<lpage>1166</lpage>
<history>
<date date-type="received">
<day>6</day>
<month>09</month>
<year>2021</year></date>
<date date-type="accepted">
<day>17</day>
<month>01</month>
<year>2022</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 by the Korean Cancer Association</copyright-statement>
<copyright-year>2022</copyright-year>
<license>
<license-p>This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" ext-link-type="uri">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract>
<sec>
<title>Purpose</title>
<p>This study aimed to investigate whether <italic>MOS</italic> methylation can be useful for the prediction of metachronous recurrence after endoscopic resection of gastric neoplasms.</p></sec>
<sec>
<title>Materials and Methods</title>
<p>From 2012 to 2017, 294 patients were prospectively enrolled after endoscopic resection of gastric dysplasia (n=171) or early gastric cancer (n=123). When <italic>Helicobacter pylori</italic> was positive, eradication therapy was performed. Among them, 124 patients completed the study protocol (follow-up duration &gt; 3 years or development of metachronous recurrence during the follow-up). Methylation levels of <italic>MOS</italic> were measured at baseline using quantitative MethyLight assay from the antrum.</p></sec>
<sec>
<title>Results</title>
<p>Median follow-up duration was 49.9 months. <italic>MOS</italic> methylation levels at baseline were not different by age, sex, and current <italic>H. pylori</italic> infection, but they showed a weak correlation with operative link on gastritis assessment (OLGA) or operative link on gastric intestinal metaplasia assessment (OLGIM) stages (Spearman&#x02019;s &#x003C1;=0.240 and 0.174, respectively; p &lt; 0.05). During the follow-up, a total of 20 metachronous gastric neoplasms (13 adenomas and 7 adenocarcinomas) were developed. Either OLGA or OLGIM stage was not useful in predicting the risk for metachronous recurrence. In contrast, <italic>MOS</italic> methylation high group (&#x02265; 34.82&#x00025;) had a significantly increased risk for metachronous recurrence compared to <italic>MOS</italic> methylation low group (adjusted hazard ratio, 4.76; 95&#x00025; confidence interval, 1.54 to 14.79; p=0.007).</p></sec>
<sec>
<title>Conclusion</title>
<p><italic>MOS</italic> methylation can be a promising marker for predicting metachronous recurrence after endoscopic resection of gastric neoplasms. To confirm the usefulness of <italic>MOS</italic> methylation, validation studies are warranted in the future (ClinicalTrials No. NCT04830618).</p></sec></abstract>
<kwd-group>
<kwd>Methylation</kwd>
<kwd>Stomach neoplasms</kwd>
<kwd>Second primary neoplasms</kwd>
<kwd>Recurrence</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Lung cancer is one of the most prevalent malignant neoplGastric cancer (GC) is the sixth most diagnosed cancer and the third leading cause of cancer mortality with 1,090,103 incident cases, and more than 768,793 deaths in 2020 &#x0005B;<xref rid="b1-crt-2021-997" ref-type="bibr">1</xref>&#x0005D;. <italic>Helicobacter pylori</italic> infection is associated with peptic ulcer disease, mucosa-associated lymphoid tissue lymphoma, and GC.</p>
<p><italic>H. pylori</italic> infection induces chronic inflammation, increased secretion of inflammatory cytokines, and aberrant DNA methylation including promoter CpG island hypermethylation and global DNA hypomethylation &#x0005B;<xref rid="b2-crt-2021-997" ref-type="bibr">2</xref>,<xref rid="b3-crt-2021-997" ref-type="bibr">3</xref>&#x0005D;. In result, prolonged <italic>H. pylori</italic> infection results in epigenetic field defect &#x0005B;<xref rid="b4-crt-2021-997" ref-type="bibr">4</xref>,<xref rid="b5-crt-2021-997" ref-type="bibr">5</xref>&#x0005D;, suggesting that methylation could be a surrogate marker for GC &#x0005B;<xref rid="b6-crt-2021-997" ref-type="bibr">6</xref>,<xref rid="b7-crt-2021-997" ref-type="bibr">7</xref>&#x0005D;. Previously, we performed a genome-wide DNA methylation chip study in <italic>H. pylori</italic>&#x02013;induced gastric carcinogenesis and identified several methylation markers &#x0005B;<xref rid="b8-crt-2021-997" ref-type="bibr">8</xref>&#x0005D;. Then we validated these methylation markers in a case-control study, and among the candidate genes, methylation of <italic>MOS</italic>, a, proto-oncogene, was associated with the duration of <italic>H. pylori</italic> exposure and the risk of GC &#x0005B;<xref rid="b9-crt-2021-997" ref-type="bibr">9</xref>&#x0005D;. Interestingly, <italic>MOS</italic> methylation decreased after <italic>H. pylori</italic> eradication in controls, but it remained significantly increased in patients with gastric dysplasia or GC even after <italic>H. pylori</italic> eradication &#x0005B;<xref rid="b10-crt-2021-997" ref-type="bibr">10</xref>&#x0005D;.</p>
<p>In Korea, biannual upper gastrointestinal endoscopy is covered by national insurance for adults over 40 years of age to detect the early gastric cancer (EGC) before progression to advanced GC. This has led to an increase both in diagnosis and endoscopic resection (ER) of EGC &#x0005B;<xref rid="b11-crt-2021-997" ref-type="bibr">11</xref>&#x0005D;. <italic>H. pylori</italic> eradication after ER of EGC reduced the risk for metachronous recurrence &#x0005B;<xref rid="b12-crt-2021-997" ref-type="bibr">12</xref>&#x0005D;. However, many patients still develop metachronous gastric cancers or gastric dysplasia even after <italic>H. pylori</italic> eradication treatment &#x0005B;<xref rid="b13-crt-2021-997" ref-type="bibr">13</xref>,<xref rid="b14-crt-2021-997" ref-type="bibr">14</xref>&#x0005D;. Thus, there is a need for a surrogate marker that can predict the risk of GC after <italic>H. pylori</italic> eradication &#x0005B;<xref rid="b15-crt-2021-997" ref-type="bibr">15</xref>&#x0005D;.</p>
<p>From this background, we performed a prospective cohort study to investigate whether <italic>MOS</italic> methylation can be useful for the prediction of metachronous recurrence after ER of gastric neoplasms.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and Methods</title>
<sec>
<title>1. Study subjects</title>
<p>The study was designed as a prospective cohort study. From 2012 to 2017, 294 patients were prospectively enrolled after ER of gastric dysplasia (n=171) or EGC (n=123). All lesions were assessed by endoscopy with biopsy before ER. Endoscopic mucosal resection or endoscopic submucosal dissection (ESD) was performed for gastric dysplasia and early gastric cancers which met the absolute indication (differentiated adenocarcinoma, intramucosal cancer, lesions &lt; 20 mm, and no endoscopic evidence of ulceration). All lesions were curatively resected; if non-curatively resected, then the patients were not enrolled in the study. All subjects, who provided informed consent at the time of initial endoscopic treatment, were asked to complete a questionnaire under the supervision of a well-trained interviewer. The questionnaire included questions regarding demographic data (age, sex), socioeconomic data (smoking, alcohol, and education), their family history of GC in first-degree relatives, and history of <italic>H. pylori</italic> eradication therapy.</p>
<p>Among the 294 subjects, <italic>MOS</italic> methylation level at baseline could be determined in 261 patients from noncancerous gastric mucosae at antrum. When <italic>H. pylori</italic> was positive by CLOtest or histology at baseline or during the follow-up, eradication therapy was done. To evaluate whether <italic>H. pylori</italic> was eradicated, <sup>13</sup>C-urea breath testing was performed at least 4 weeks after completion of eradication therapy. The definition of the completion of the study protocol was (1) endoscopic and/or radiologic follow-up for more than 3 years, or (2) development of metachronous gastric neoplasm (gastric dysplasia or cancer) during the follow-up. Metachronous recurrence was defined as secondary dysplasia or cancers detected &gt; 1 year after initial diagnosis. Finally, 124 of 261 subjects completed the study protocol and were included for the survival analysis.</p></sec>
<sec>
<title>2. Follow-up after endoscopic resection</title>
<p>All study subjects were closely followed up since recurrent tumors at previous ER sites can be easily detected on endoscopy with biopsy and treated during follow-up. Patients with local recurrence underwent further treatments, including repeated ESD, argon plasma coagulation, and gastrectomy based on pathology, and patients who refused treatment received supportive care.</p>
<p>All patients underwent endoscopy with biopsy within 6 months, then at 12 months after ESD to check for metachronous lesions or local recurrences. After 12 months, endoscopy with biopsy was performed annually. In case of EGCs, abdominal computed tomography scan was performed in the first year and biennially thereafter to detect lymph node or distant metastases.</p></sec>
<sec>
<title>3. <italic>H. pylori</italic> testing and histologic assessment</title>
<p>At each endoscopy, 12 biopsy specimens were obtained for histological analysis, <italic>Campylobacter</italic>-like organism test, to determine the presence of a current <italic>H. pylori</italic> infection. This methodology has been presented previously &#x0005B;<xref rid="b10-crt-2021-997" ref-type="bibr">10</xref>,<xref rid="b16-crt-2021-997" ref-type="bibr">16</xref>&#x0005D;. In brief, two biopsy specimens from the antrum and two from the corpus (1 from the lesser curvature, 1 from the greater curvature) were fixed in formalin to assess the presence of <italic>H. pylori</italic> by modified Giemsa staining and the degree of inflammatory cell infiltration, atrophy and intestinal metaplasia (all by hematoxylin and eosin staining). These histologic features of the gastric mucosa were recorded using the updated Sydney scoring system (0, none; 1, mild; 2, moderate; and 3, marked) &#x0005B;<xref rid="b17-crt-2021-997" ref-type="bibr">17</xref>&#x0005D;. One specimen from each of the lesser curvature of the antrum and the body was used for rapid urease testing (CLOtest, Delta West, Bentley, Australia). The remaining six noncancerous mucosal biopsy specimens (3 antrum and 3 body each) were immediately frozen at &#x02212;70&#x000B0;C until DNA extraction.</p></sec>
<sec>
<title>4. Operative link on gastritis assessment and operative link on gastric intestinal metaplasia assessment staging</title>
<p>Operative link on gastritis assessment (OLGA) or operative link on gastric intestinal metaplasia assessment (OLGIM) stages were made by histological examination of gastric biopsy samples (antrum and corpus) following the updated Sydney System &#x0005B;<xref rid="b18-crt-2021-997" ref-type="bibr">18</xref>&#x0005D;. Two independent gastrointestinal pathologists, who were blinded to clinical information, assessed the biopsies. if there was a disagreement, the biopsies were assessed by a third pathologist again.</p></sec>
<sec>
<title>5. DNA extraction, bisulfite modification, and MethyLight assay</title>
<p>Genomic DNA was extracted directly from noncancerous antral biopsy specimens using sodium bisulfite. The methodology was reported previously &#x0005B;<xref rid="b19-crt-2021-997" ref-type="bibr">19</xref>&#x0005D;. Briefly, specimens were homogenized in proteinase K solution (20 mmol/L Tris&#x02013;HCl &#x0005B;pH 8.0&#x0005D;, 10 mmol/L ethylenediaminetetraacetic acid, 0.5&#x00025; sodium dodecyl sulfate, and 10 mg/mL proteinase K) using a sterile micropestle, followed by incubation for 3 hours at 52&#x000B0;C. DNA was isolated from homogenates using phenol/chloroform extraction and ethanol precipitation. Genomic DNA (1 &#x003BC;g) was bisulfite modified using the EZ DNA Methylation Kit (Zymo Research, Irvine, CA) by following the manufacturer&#x02019;s instructions. The methylation status of <italic>MOS</italic> from bisulfite-modified DNA samples was quantified using real-time polymerase chain reaction&#x02013;based MethyLight technology. MethyLight, as a sensitive, high-throughput methylation assay, allows the highly specific detection of methylation using probes that cover methylation sites, as well as methylation-specific primers &#x0005B;<xref rid="b20-crt-2021-997" ref-type="bibr">20</xref>&#x0005D;. The primer and probe sequences used in the reaction are as follows: forward primer sequence, TTCACTCCAACGACCCTAATATCC; backward primer sequence, GGGAAAATTCGTTTCGGAGGTAG; pro-be oligo sequence, 6FAM-AATACGATACCCTCGCCCCTA-ACCCTACG-BHQ-1 &#x0005B;<xref rid="b19-crt-2021-997" ref-type="bibr">19</xref>&#x0005D;. The quantified level of <italic>MOS</italic> was reported as a percentage of methylated reference, which is the relative methylation ratio of the target gene to the ALU gene of a sample, divided by the ratio of the target gene to the <italic>Alu</italic> gene of sodium bisulfite and CpG methyltransferase (M-SssI)&#x02013;treated sperm DNA, multiplied by 100.</p></sec>
<sec>
<title>6. Statistical analysis</title>
<p>For sample size calculation, the expected incidence of metachronous recurrence in low-risk group (low methylation group) is presumed to be 0.01 per year, and that in high-risk group increases by 4-fold. Assuming that the ratio of the number of the low-risk and high-risk individuals is 1:1, the number of patients in each group was calculated as 131 at a statistical power of 0.80 with a two-sided significance level of 0.05. Considering a dropout rate of ~10&#x00025;, the sample size was determined as 290 (145 in each group).</p>
<p>Continuous variables were presented as mean&#x000B1;standard deviation. Categorical variables were presented as numbers with proportions. To compare continuous variables, Student t test was used. For categorical variables, chi-square test was used for analysis. For determining the optimal diagnostic cutoff value on predicting metachronous recurrence, receiver operating characteristic curve was used. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. For survival analysis, Kaplan-Meier curves for cumulative incidences were used with log-rank test. Cox proportional hazard model was adopted under adjustment with clinically important variables. All the statistical analyses were performed using R ver. 3.2.3 (The R Foundation for Statistical Computing, Vienna, Austria; <ext-link xlink:href="http://www.r-project.org" ext-link-type="uri">http://www.r-project.org</ext-link>). All tests were two-sided and p &lt; 0.05 were considered statistically significant.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>1. Optimal cutoff value of <italic>MOS</italic> methylation level to predict metachronous recurrence</title>
<p>Among the study subjects who completed the study protocol (n=124), 20 metachronous gastric lesions (13 adenomas and 7 adenocarcinomas) were developed during the follow-up (median of the follow-up duration: 49.9 months &#x0005B;range, 13.1 to 96.2 months&#x0005D;, median follow-up visits: 4.9 times). To determine the optimal cutoff value of <italic>MOS</italic> methylation level to predict metachronous recurrence, receiver operating characteristics curve analysis was performed (<xref rid="f1-crt-2021-997" ref-type="fig">Fig. 1</xref>), and the optimal cutoff value was 35.82&#x00025; (sensitivity, specificity, PPV, and NPV: 80.0&#x00025;, 53.2&#x00025;, 26.7&#x00025;, and 92.6&#x00025;, respectively.). In <italic>MOS</italic> methylation low group (n=74), eight metachronous recurrences (4 adenomas and 4 adenocarcinomas) were developed; in <italic>MOS</italic> methylation high group (n=50), 12 metachronous lesions (9 adenomas and 3 adenocarcinomas) were developed during the follow-up.</p></sec>
<sec>
<title>2. Characteristics of the study subjects at baseline</title>
<p>The clinical and pathological characteristics of the study subjects at baseline were summarized in <xref rid="t1-crt-2021-997" ref-type="table">Table 1</xref>. There was no significant difference between the methylation high group (<italic>MOS</italic> methylation level &#x02265; 35.82&#x00025;) and the methylation low group (methylation level &lt; 35.82&#x00025;) except for follow-up duration and follow-up visits (p &lt; 0.001), which was attributed to a higher metachronous recurrence in the methylation high group.</p>
<p>Also, the clinicopathological characteristics of the 124 patients completed the study protocol according to meta-chronous recurrence were presented in <xref ref-type="supplementary-material" rid="SD1-crt-2021-997">S1 Table</xref>. In patients with metachronous recurrence, initial pathology was low- or high-grade dysplasia rather than adenocarcinoma (p &lt; 0.001), and synchronous lesions (dysplasia or EGCs) were more prevalent (p=0.053). OLGA and OLGIM stages were not different between the two groups (p &gt; 0.05), but <italic>MOS</italic> methylation level was higher in patients with metachronous recurrence (p=0.009).</p></sec>
<sec>
<title>3. Association between <italic>MOS</italic> methylation level and clinical and histologic variables</title>
<p>Next, we evaluated whether <italic>MOS</italic> methylation levels were different by age, family history of GC, synchronous gastric lesions, current <italic>H. pylori</italic> infection, and OLGA and OLGIM stages. There was no correlation between age and <italic>MOS</italic> methylation level (Pearson&#x02019;s correlation coefficient=0.063, p=0.312) (<xref rid="f2-crt-2021-997" ref-type="fig">Fig. 2A</xref>). Family history of GC in 1&#x000B0; relatives, synchronous gastric neoplasms, current <italic>H. pylori</italic> infection did not affect <italic>MOS</italic> methylation levels (p &gt; 0.05) (<xref rid="f2-crt-2021-997" ref-type="fig">Fig. 2B-D</xref>). In contrast, <italic>MOS</italic> methylation levels correlated with OLGA or OLGIM stages (Spearman&#x02019;s &#x003C1;=0.240 and 0.174, respectively, both p &lt; 0.05) (<xref rid="f2-crt-2021-997" ref-type="fig">Fig. 2E and F</xref>).</p></sec>
<sec>
<title>4. Clinical implication of mucosal atrophy, intestinal metaplasia, and <italic>MOS</italic> methylation in the prediction of meta-chronous gastric recurrence after endoscopic resection</title>
<p>Then, we evaluated whether atrophic gastritis, intestinal metaplasia, or <italic>MOS</italic> methylation level could predict the metachronous recurrence after ER of gastric neoplasms (<xref rid="t2-crt-2021-997" ref-type="table">Table 2</xref>, <xref rid="f3-crt-2021-997" ref-type="fig">Fig. 3</xref>). Kaplan-Meier curves for cumulative incidences of metachronous recurrence showed that presence or absence of atrophic gastritis and intestinal metaplasia did not predict the risk for metachronous recurrence in this high-risk population (<xref rid="f3-crt-2021-997" ref-type="fig">Fig. 3A and C</xref>). Also, OLGA and OLGIM stages were not useful in predicting the risk (<xref rid="f3-crt-2021-997" ref-type="fig">Fig. 3B and D</xref>); if the analysis was performed comparing low-risk (grade 0 to 2) and high-risk (grade 3 and 4) groups, it was not statistically significant (<xref ref-type="supplementary-material" rid="SD2-crt-2021-997">S2 Fig.</xref>).</p>
<p>In contrast, <italic>MOS</italic> methylation could be useful to determine the high-risk group in metachronous recurrence. That is, <italic>MOS</italic> methylation high group (&#x02265; 34.82&#x00025;) had a significantly increased risk for metachronous recurrence compared to <italic>MOS</italic> methylation low group (adjusted hazard ratio &#x0005B;HR&#x0005D;, 4.76; 95&#x00025; confidence interval &#x0005B;CI&#x0005D;, 1.54 to 14.79; p=0.007) (<xref rid="t2-crt-2021-997" ref-type="table">Table 2</xref>). In adjusted Cox proportional regression model, the risk of metachronous recurrence significantly increased in the highest quartile level (Q4) compared with the lowest quartile level (Q1) (HR, 3.53; 95&#x00025; CI, 1.02 to 12.22; p=0.047). However, this was not statistically significant after adjusting for age, sex, <italic>H. pylori</italic> infection, and smoking (p=0.062) (<xref rid="t2-crt-2021-997" ref-type="table">Table 2</xref>). Nevertheless, a significant increasing linear trend was observed between <italic>MOS</italic> methylation and the risk of meta-chronous recurrence (adjusted p for trend=0.034).</p>
<p>When the same analyses were performed in the entire cohort (n=261), the results were not different (<xref ref-type="supplementary-material" rid="SD3-crt-2021-997">S3 Table</xref>, <xref ref-type="supplementary-material" rid="SD4-crt-2021-997">S4 Fig.</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>This study showed that <italic>MOS</italic> methylation could be useful in predicting metachronous recurrence after <italic>H. pylori</italic> eradication in the high-risk patients who had undergone ER of gastric neoplasm. The patients who underwent ER of EGC or gastric dysplasia are regarded as a high-risk population of metachronous gastric neoplasms &#x0005B;<xref rid="b15-crt-2021-997" ref-type="bibr">15</xref>&#x0005D;. In the previous studies, the incidence of metachronous GC was reported to be 1.9&#x00025;&#x02013;25.3&#x00025; when observed up to 4&#x02013;7 years &#x0005B;<xref rid="b21-crt-2021-997" ref-type="bibr">21</xref>&#x0005D;, and <italic>H. pylori</italic> eradication reduced the incidence of metachronous GC by ~50&#x00025; &#x0005B;<xref rid="b12-crt-2021-997" ref-type="bibr">12</xref>&#x0005D;. However, metachronous recurrence still develops even after <italic>H. pylori</italic> eradication; thus, we need a surrogate marker for the risk of metachronous GC after <italic>H. pylori</italic> eradication &#x0005B;<xref rid="b15-crt-2021-997" ref-type="bibr">15</xref>&#x0005D;.</p>
<p>Differentiated GCs are frequently found after <italic>H. pylori</italic> eradication, showing characteristic endoscopic features such as reddish depression; benign reddish depression is difficult to be distinguished from GC because of the histological alterations in the surface structures (non-neoplastic epithelium or epithelium with low-grade atypia) as well as multiple appearances of benign reddish depression &#x0005B;<xref rid="b22-crt-2021-997" ref-type="bibr">22</xref>&#x0005D;. Furthermore, submucosal invasive cancers were not infrequently found after <italic>H. pylori</italic> eradication despite of the annual endoscopic surveillance &#x0005B;<xref rid="b22-crt-2021-997" ref-type="bibr">22</xref>&#x0005D;. In this study, all cases of metachronous recurrence (n=20) were either gastric dysplasia or EGC; six of seven metachronous gastric cancers (85.7&#x00025;) were differentiated gastric cancers, but three cases (42.9&#x00025;) invaded submucosa.</p>
<p>There have been several studies that aberrant DNA methylation could be a surrogate marker for the risk of metachronous GC &#x0005B;<xref rid="b6-crt-2021-997" ref-type="bibr">6</xref>,<xref rid="b23-crt-2021-997" ref-type="bibr">23</xref>&#x0005D;. Previously, a Japanese group published the impact of aberrant DNA methylation accumulation on metachronous GC in a 5-year follow-up of a multicenter prospective cohort study &#x0005B;<xref rid="b24-crt-2021-997" ref-type="bibr">24</xref>,<xref rid="b25-crt-2021-997" ref-type="bibr">25</xref>&#x0005D;. They showed that the higher quartiles of methylation levels in <italic>miR-124a-3</italic>, <italic>EMX1</italic>, and <italic>MKX6-1</italic> showed an increased risk for metachronous GCs. Another study has shown that aberrant methylation of microRNA-34b/c is a predictive marker of metachronous GC risk &#x0005B;<xref rid="b23-crt-2021-997" ref-type="bibr">23</xref>&#x0005D;.</p>
<p>In the present study, the rationale for choosing <italic>MOS</italic> methylation as a marker is based on the results of previous studies. Previously, we evaluated the usefulness of several candidate methylation markers to define a high-risk group for GC &#x0005B;<xref rid="b8-crt-2021-997" ref-type="bibr">8</xref>&#x0005D;. Among them, methylation of <italic>MOS</italic> was associated with the duration of <italic>H. pylori</italic> exposure. <italic>MOS</italic> methylation was also increased in remote past infection in which <italic>H. pylori</italic> disappeared in gastric mucosa, and it was significantly increased in patients with GC regardless of <italic>H. pylori</italic> infection &#x0005B;<xref rid="b9-crt-2021-997" ref-type="bibr">9</xref>&#x0005D;. Interestingly, <italic>MOS</italic> methylation decreased after <italic>H. pylori</italic> eradication in controls, but it remained significantly increased in patients with gastric dysplasia or GC even after <italic>H. pylori</italic> eradication &#x0005B;<xref rid="b10-crt-2021-997" ref-type="bibr">10</xref>&#x0005D;. In a retrospective study, we have shown that <italic>MOS</italic> methylation levels at baseline were significantly higher among patients with metachronous gastric neoplasms &#x0005B;<xref rid="b26-crt-2021-997" ref-type="bibr">26</xref>&#x0005D;.</p>
<p>We paid attention to the results of previous studies in that there are two types of methylation occurring in the gastric mucosa. One is temporary components of methylation (induced in progenitor or differentiated cells) and the other is permanent components (induced in stem cells) &#x0005B;<xref rid="b2-crt-2021-997" ref-type="bibr">2</xref>,<xref rid="b4-crt-2021-997" ref-type="bibr">4</xref>&#x0005D;. During active <italic>H. pylori</italic> infection, both temporary and permanent components of methylation increase as the duration of infection increases. When <italic>H. pylori</italic> infection discontinues, the temporary component will disappear, leaving only the permanent component. The remaining permanent components correlate with the risk of developing gastric cancers.</p>
<p>From this point of view, <italic>MOS</italic> methylation could be an ideal marker for predicting the risk of GC. The <italic>MOS</italic> methylation we analyzed in this study does not originate from the promoter region (promoter CpG island), but the exon region &#x0005B;<xref rid="b8-crt-2021-997" ref-type="bibr">8</xref>&#x0005D;. Although methylation of some marker genes is not directly involved in carcinogenesis, their methylation levels correlate with those of tumor-suppressor genes and thus GC risks. Methylation of a marker gene is not requisite for gastric carcinogenesis &#x0005B;<xref rid="b4-crt-2021-997" ref-type="bibr">4</xref>&#x0005D;. Methylation levels of <italic>MOS</italic> in GC tissues did not correlate with those in their background gastric mucosa. Rather, we found that hypomethylation of <italic>MOS</italic> in GC tissues was associated with tumor invasion, nodal metastasis, and undifferentiated histology, suggesting that <italic>MOS</italic> methylation occurs in a complex manner depending on the stages of gastric carcinogenesis &#x0005B;<xref rid="b9-crt-2021-997" ref-type="bibr">9</xref>&#x0005D;.</p>
<p>In the present study, <italic>MOS</italic> methylation was not affected by age (<xref rid="t1-crt-2021-997" ref-type="table">Table 1</xref>, <xref rid="f2-crt-2021-997" ref-type="fig">Fig. 2</xref>). Therefore, <italic>MOS</italic> methylation might not be an aging process. There was no significant difference in <italic>MOS</italic> methylation level between <italic>H. pylori&#x02013;</italic>positive and &#x02013;negative patients. This is because most of the subjects were high-risk patients in this study. Even if some of them had no evidence of active <italic>H. pylori</italic> infection at present, most of them might be in remote past <italic>H. pylori</italic> infection &#x0005B;<xref rid="b27-crt-2021-997" ref-type="bibr">27</xref>&#x0005D;. Likely, <italic>MOS</italic> methylation levels did not differ according to the presence or absence of synchronous gastric neoplasm.</p>
<p>In contrast, <italic>MOS</italic> methylation level positively correlated with OLGA and OLGIM staging (<xref rid="f2-crt-2021-997" ref-type="fig">Fig. 2</xref>). Atrophic gastritis and intestinal metaplasia are not only important precancerous lesions of GC but have been reported to be significantly associated with the occurrence of metachronous GC &#x0005B;<xref rid="b13-crt-2021-997" ref-type="bibr">13</xref>,<xref rid="b28-crt-2021-997" ref-type="bibr">28</xref>&#x0005D;. In this study, however, OLGA and OLGIM stages failed to show the relations to metachronous recurrence. This might be attributed to the fact that the frequencies of patients with high OLGA and OLGIM stages (stage 3&#x02013;4) at baseline were much lower than those reported in GC patients (<xref rid="t1-crt-2021-997" ref-type="table">Table 1</xref>). In contrast, we found that <italic>MOS</italic> methylation may predict the risk of metachronous gastric neoplasms better than atrophy or metaplasia (<xref rid="t2-crt-2021-997" ref-type="table">Table 2</xref>, <xref rid="f3-crt-2021-997" ref-type="fig">Fig. 3</xref>). Unlikely with the previous studies, the reason of insignificant results in atrophic gastritis and intestinal metaplasia might be attributed to the relatively small sample size; if the sample size is sufficiently large, significant results could be shown for atrophic gastritis and metaplasia as well. However, the fact that <italic>MOS</italic> methylation was found to be significantly related to the risk for metachronous recurrence despite the relatively small sample size in this study indicates that <italic>MOS</italic> methylation can be a more powerful marker to predict the recurrence of metachronous gastric neoplasms after endoscopic resection. Recently, we found that metachronous GC occurred in the 35 patients among 3,044 patients (1.1&#x00025;) in the remaining stomach after curative gastric partial resection with GC &#x0005B;<xref rid="b29-crt-2021-997" ref-type="bibr">29</xref>&#x0005D;. In this population, the metachronous GC was only related to older age and surgical methods used. Thus, it might be valuable to perform further study whether the <italic>MOS</italic> methylation can be beneficial in predicting the metachronous recurrence after gastrectomy.</p>
<p>Our study has several limitations as the following. First, the sample size was relatively small. In addition, the dropout rate (follow-up loss within 3 years after initial endoscopic treatment) was much higher than expected (137/261, 52.5&#x00025;). In South Korea, it is recommended that the patients be returned to the local clinic for screening endoscopy if there are no problems after endoscopic treatment. As a result, many subjects were dropped out, and only 124 subjects were followed up for more than 3 years. Thus, this study might be underpowered. Nevertheless, <italic>MOS</italic> methylation showed statistically significant results. In addition, the results were not different when the survival analyses were performed in the entire cohort (n=261) (<xref ref-type="supplementary-material" rid="SD3-crt-2021-997">S3 Table</xref>, <xref ref-type="supplementary-material" rid="SD4-crt-2021-997">S4 Fig.</xref>). However, the results of our study should be verified through a large prospective study. Second, serum gastrin-17, anti&#x02013;<italic>H. pylori</italic> IgG antibody, and pepsinogen I/II levels were not measured in this study. They have been shown to be a surrogate marker of metachronous recurrence after ER of EGC &#x0005B;<xref rid="b30-crt-2021-997" ref-type="bibr">30</xref>,<xref rid="b31-crt-2021-997" ref-type="bibr">31</xref>&#x0005D;. Third, <italic>H. pylori</italic>&#x02013;positive rate was relatively low (~37&#x00025;) for the study population, which was EGC or dysplasia patients. It might be because most of the patients who were <italic>H. pylori&#x02013;</italic>negative in this study were patients with a remote past infection. However, since OLGA and OLGIM stages were not high at baseline, there is a possibility that <italic>H. pylori</italic> infection rate was actually low. Fourth, the interpretation of OLGA and OLGIM staging should be cautious because gastric mucosae were not obtained at gastric angle. Furthermore, OLGA staging was possible in 110 of 261 (42.1&#x00025;) patients only, because in many cases either antrum or corpus biopsy specimen was inappropriate to assess the degree of atrophy. Despite these limitations, the results of this study show the possibility of <italic>MOS</italic> methylation as a surrogate marker for metachronous gastric neoplasms, and also prove the importance of aberrant DNA methylation in gastric carcinogenesis.</p>
<p>In conclusion, <italic>MOS</italic> methylation can be a promising marker for predicting metachronous gastric neoplasms after ER of gastric neoplasms. To confirm the usefulness of <italic>MOS</italic> methylation, large prospective studies (validation studies) are warranted in the future.</p></sec>
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<title>Electronic Supplementary Material</title>
<p>Supplementary materials are available at Cancer Research and Treatment website (<ext-link xlink:href="https://www.e-crt.org" ext-link-type="uri">https://www.e-crt.org</ext-link>).</p>
<supplementary-material id="SD1-crt-2021-997" content-type="local-data">
<media xlink:href="crt-2021-997_S1_Table.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material>
<supplementary-material id="SD2-crt-2021-997" content-type="local-data">
<media xlink:href="crt-2021-997_S2_Fig.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material>
<supplementary-material id="SD3-crt-2021-997" content-type="local-data">
<media xlink:href="crt-2021-997_S3_Table.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material>
<supplementary-material id="SD4-crt-2021-997" content-type="local-data">
<media xlink:href="crt-2021-997_S4_Fig.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material></sec>
<fn-group><fn id="fn2-crt-2021-997">
<p><bold>Ethical Statement</bold></p>
<p>The study protocol was approved by the Ethical Committee at Seoul National University Bundang Hospital (IRB No. B1204/152-005). All study participants signed a consent form before enrolling in the study.</p></fn><fn id="fn3-crt-2021-997">
<p><bold>Author Contributions</bold></p>
<p>Conceived and designed the analysis: Shin CM, Kim N, Lee DH.</p>
<p>Collected the data: Shin CM, Yoon H, Choi YJ, Park YS.</p>
<p>Contributed data or analysis tools: Kim N, Park JH, Lee DH.</p>
<p>Performed the analysis: Shin CM, Park JH.</p>
<p>Wrote the paper: Shin CM.</p>
<p>Revised the manuscript: Kim N, Yoon H, Choi YJ, Park YS, Lee DH.</p></fn><fn id="fn4-crt-2021-997" fn-type="conflict">
<p><bold>Conflicts of Interest</bold></p>
<p>Conflict of interest relevant to this article was not reported.</p></fn></fn-group>
<ack>
<title>Acknowledgments</title>
<p>This work was supported by the National Research Foundation of Korea (NRF) grant for the Global Core Research Center (GCRC) funded by the Korea government (MSIP) (No. 2011-0030001).</p></ack>
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<title>Figures and Tables</title>
<fig id="f1-crt-2021-997" position="float">
<label>Fig. 1</label>
<caption>
<p>Receiver operating characteristic curve analysis to determine a cutoff value of <italic>MOS</italic> methylation level to predict the risk for metachronous recurrence (n=124). Optimal cutoff value was 35.82&#x00025; and sensitivity, specificity, PPV and NPV were 80.0&#x00025;, 53.2&#x00025;, 26.7&#x00025;, and 92.6&#x00025;, respectively. AUC, area under curve; NPV, negative predictive value; PPV, positive predictive value.</p></caption>
<graphic xlink:href="crt-2021-997f1.gif"/></fig>
<fig id="f2-crt-2021-997" position="float">
<label>Fig. 2</label>
<caption>
<p><italic>MOS</italic> methylation levels according to age (A), family history of gastric cancer (B), synchronous gastric lesions (C), current <italic>Helicobacter</italic> pylori infection (D), and OLGA (E) and OLGIM (F) stages (n=261). OLGA, operative link on gastritis assessment; OLGIM, operative link on gastric intestinal metaplasia assessment.</p></caption>
<graphic xlink:href="crt-2021-997f2.gif"/></fig>
<fig id="f3-crt-2021-997" position="float">
<label>Fig. 3</label>
<caption>
<p>Kaplan-Meier curves for cumulative incidences of metachronous recurrence according to atrophic gastritis (A), OLGA stage (B), intestinal metaplasia (C), OLGIM stage (D), <italic>MOS</italic> methylation status (E, F, n=124). Atrophic gastritis and intestinal metaplasia were defined as the presence of histologic atrophy (score 1&#x02013;3) and intestinal metaplasia (score 1&#x02013;3), respectively, at either antrum or corpus by the updated Sydney scoring system. The cutoff value (35.82&#x00025;) of high or low level of <italic>MOS</italic> methylation was determined by receiver operating characteristic curve analysis. OLGA, operative link on gastritis assessment; OLGIM, operative link on gastric intestinal metaplasia assessment.</p></caption>
<graphic xlink:href="crt-2021-997f3.gif"/></fig>
<table-wrap id="t1-crt-2021-997" position="float">
<label>Table 1</label>
<caption>
<p>Characteristics of the study subjects at baseline</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variable</th>
<th valign="middle" rowspan="2" align="center">Total (n=294)</th>
<th colspan="2" valign="middle" align="center"><italic>MOS</italic> methylation level (n=261)</th>
<th valign="middle" rowspan="2" align="center">p-value</th></tr>
<tr>
<th valign="middle" align="center">Low (n=99)</th>
<th valign="middle" align="center">High (n=162)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Age (yr)</bold></td>
<td valign="top" align="center">63.2&#x000B1;8.7</td>
<td valign="top" align="center">62.4&#x000B1;9.1</td>
<td valign="top" align="center">64.1&#x000B1;8.6</td>
<td valign="top" align="right">0.132</td></tr>
<tr>
<td valign="top" align="left"><bold>Male sex</bold></td>
<td valign="top" align="center">200 (68.0)</td>
<td valign="top" align="center">68 (68.7)</td>
<td valign="top" align="center">108 (66.7)</td>
<td valign="top" align="right">0.735</td></tr>
<tr>
<td valign="top" align="left"><bold>Follow-up duration (day)</bold></td>
<td valign="top" align="center">998.1&#x000B1;670.1</td>
<td valign="top" align="center">1,250.5&#x000B1;712.4</td>
<td valign="top" align="center">837.4&#x000B1;589.8</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"><bold>No. of endoscopic follow-up</bold></td>
<td valign="top" align="center">3.6&#x000B1;2.4</td>
<td valign="top" align="center">4.4&#x000B1;2.7</td>
<td valign="top" align="center">3.1&#x000B1;2.1</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"><bold><italic>Helicobacter pylori</italic></bold><bold> positive</bold></td>
<td valign="top" align="center">110 (37.4)</td>
<td valign="top" align="center">33 (33.3)</td>
<td valign="top" align="center">63 (38.9)</td>
<td valign="top" align="right">0.366</td></tr>
<tr>
<td valign="top" align="left"><bold>Current or ex-smoker</bold></td>
<td valign="top" align="center">127 (43.2)</td>
<td valign="top" align="center">57 (47.9)</td>
<td valign="top" align="center">62 (52.1)</td>
<td valign="top" align="right">0.572</td></tr>
<tr>
<td valign="top" align="left"><bold>Current or ex-drinker</bold></td>
<td valign="top" align="center">158 (53.7)</td>
<td valign="top" align="center">70 (48.3)</td>
<td valign="top" align="center">75 (51.7)</td>
<td valign="top" align="right">0.787</td></tr>
<tr>
<td valign="top" align="left"><bold>Family history of GC in 1&#x000B0; relatives</bold></td>
<td valign="top" align="center">49 (17.4)</td>
<td valign="top" align="center">20 (20.6)</td>
<td valign="top" align="center">25 (16.2)</td>
<td valign="top" align="right">0.378</td></tr>
<tr>
<td valign="top" align="left"><bold>Body mass index (kg/m</bold><bold><sup>2</sup></bold><bold>)</bold></td>
<td valign="top" align="center">24.4&#x000B1;3.2</td>
<td valign="top" align="center">24.3&#x000B1;3.5</td>
<td valign="top" align="center">24.4&#x000B1;3.0</td>
<td valign="top" align="right">0.678</td></tr>
<tr>
<td colspan="5" valign="top" align="left"><bold>Education</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Elementary-Middle-High</td>
<td valign="top" align="center">149 (65.6)</td>
<td valign="top" align="center">62 (72.1)</td>
<td valign="top" align="center">79 (64.2)</td>
<td valign="top" align="right">0.232</td></tr>
<tr>
<td valign="top" align="left">&#x02003;University</td>
<td valign="top" align="center">78 (34.4)</td>
<td valign="top" align="center">24 (27.9)</td>
<td valign="top" align="center">55 (35.8)</td>
<td valign="top" align="right"/></tr>
<tr>
<td colspan="5" valign="top" align="left"><bold>Pathology</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Low-grade dysplasia</td>
<td valign="top" align="center">147 (50.0)</td>
<td valign="top" align="center">44(44.9)</td>
<td valign="top" align="center">77 (48.7)</td>
<td valign="top" align="right">0.662</td></tr>
<tr>
<td valign="top" align="left">&#x02003;High-grade dysplasia</td>
<td valign="top" align="center">24 (8.2)</td>
<td valign="top" align="center">7 (7.1)</td>
<td valign="top" align="center">14 (8.9)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Adenocarcinoma</td>
<td valign="top" align="center">123 (41.8)</td>
<td valign="top" align="center">47 (48.0)</td>
<td valign="top" align="center">67 (42.4)</td>
<td valign="top" align="right"/></tr>
<tr>
<td colspan="5" valign="top" align="left"><bold>OLGA stage</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 0</td>
<td valign="top" align="center">26 (22.4)</td>
<td valign="top" align="center">11 (28.2)</td>
<td valign="top" align="center">13 (18.3)</td>
<td valign="top" align="right">0.760</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 1</td>
<td valign="top" align="center">28 (24.1)</td>
<td valign="top" align="center">8 (20.5)</td>
<td valign="top" align="center">18 (25.4)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 2</td>
<td valign="top" align="center">28 (24.1)</td>
<td valign="top" align="center">8 (20.5)</td>
<td valign="top" align="center">19 (26.8)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 3</td>
<td valign="top" align="center">22 (19.0)</td>
<td valign="top" align="center">8 (20.5)</td>
<td valign="top" align="center">13 (18.3)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 4</td>
<td valign="top" align="center">12 (10.3)</td>
<td valign="top" align="center">4 (10.3)</td>
<td valign="top" align="center">8 (11.8)</td>
<td valign="top" align="right"/></tr>
<tr>
<td colspan="5" valign="top" align="left"><bold>OLGIM stage</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 0</td>
<td valign="top" align="center">51 (17.3)</td>
<td valign="top" align="center">21 (21.6)</td>
<td valign="top" align="center">25 (16.0)</td>
<td valign="top" align="right">0.430</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 1</td>
<td valign="top" align="center">59 (20.1)</td>
<td valign="top" align="center">16 (16.5)</td>
<td valign="top" align="center">35 (22.4)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 2</td>
<td valign="top" align="center">87 (29.6)</td>
<td valign="top" align="center">34 (35.1)</td>
<td valign="top" align="center">44 (28.2)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 3</td>
<td valign="top" align="center">52 (17.7)</td>
<td valign="top" align="center">15 (15.5)</td>
<td valign="top" align="center">30 (19.2)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Stage 4</td>
<td valign="top" align="center">35 (11.9)</td>
<td valign="top" align="center">11 (11.3)</td>
<td valign="top" align="center">22 (14.1)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left"><bold>Synchronous EGCs/dysplasia</bold><sup><xref rid="tfn2-crt-2021-997" ref-type="table-fn">a)</xref></sup></td>
<td valign="top" align="center">25 (10.2)</td>
<td valign="top" align="center">8 (8.7)</td>
<td valign="top" align="center">16 (10.9)</td>
<td valign="top" align="right"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-crt-2021-997">
<p>Values are presented as mean&#x000B1;SD or number (&#x00025;). p-values were calculated using chi-square test or Student&#x02019;s t test. The cutoff value (35.82&#x00025;) of high or low <italic>MOS</italic> methylation levels was determined by receiver operating curve analysis. Statistically significant at p &lt; 0.001. EGC, early gastric cancer; GC, gastric cancer; OLGA, operative link on gastritis assessment; OLGIM, operative link on gastric intestinal metaplasia assessment; SD, standard deviation.</p></fn><fn id="tfn2-crt-2021-997">
<label>a)</label>
<p>Synchronous lesions were defined as secondary dysplasia or cancers detected within 1 year after initial diagnosis.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t2-crt-2021-997" position="float">
<label>Table 2</label>
<caption>
<p>Univariate and multivariate Cox proportional regression analyses of the metachronous recurrence (n=124)</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">Crude HR (95&#x00025; CI)</th>
<th valign="middle" align="center">p-value</th>
<th valign="middle" align="center">p for trend</th>
<th valign="middle" align="center">Adjusted HR<sup><xref rid="tfn4-crt-2021-997" ref-type="table-fn">a)</xref></sup> (95&#x00025; CI)</th>
<th valign="middle" align="center">p-value<sup><xref rid="tfn4-crt-2021-997" ref-type="table-fn">a)</xref></sup></th>
<th valign="middle" align="center">p for trend</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left"><bold><italic>MOS</italic></bold><bold> high</bold><sup><xref rid="tfn5-crt-2021-997" ref-type="table-fn">b)</xref></sup></td>
<td valign="top" align="center">4.73 (1.56&#x02013;14.40)</td>
<td valign="top" align="center">0.006<sup><xref rid="tfn6-crt-2021-997" ref-type="table-fn">c)</xref></sup></td>
<td valign="top" align="center"/>
<td valign="top" align="center">4.76 (1.54&#x02013;14.79)</td>
<td valign="top" align="center">0.007<sup><xref rid="tfn6-crt-2021-997" ref-type="table-fn">c)</xref></sup></td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"><bold>Atrophic gastritis</bold></td>
<td valign="top" align="center">1.40 (0.18&#x02013;10.88)</td>
<td valign="top" align="center">0.746</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.31 (0.16&#x02013;10.75)</td>
<td valign="top" align="center">0.802</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"><bold>Intestinal metaplasia</bold></td>
<td valign="top" align="center">2.62 (0.35&#x02013;19.74)</td>
<td valign="top" align="center">0.349</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2.32 (0.30&#x02013;18.29)</td>
<td valign="top" align="center">0.423</td>
<td valign="top" align="center"/></tr>
<tr>
<td colspan="7" valign="top" align="left"><bold><italic>MOS</italic></bold><bold> quartile</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Q1</td>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Q2</td>
<td valign="top" align="center">1.64 (0.41&#x02013;6.61)</td>
<td valign="top" align="center">0.485</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.42 (0.35&#x02013;5.87)</td>
<td valign="top" align="center">0.624</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Q3</td>
<td valign="top" align="center">3.36 (0.87&#x02013;13.03)</td>
<td valign="top" align="center">0.080</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.11 (0.78&#x02013;12.46)</td>
<td valign="top" align="center">0.109</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Q4</td>
<td valign="top" align="center">3.53 (1.02&#x02013;12.22)</td>
<td valign="top" align="center">0.047</td>
<td valign="top" align="center">0.027<sup><xref rid="tfn6-crt-2021-997" ref-type="table-fn">c)</xref></sup></td>
<td valign="top" align="center">3.29 (0.94&#x02013;11.53)</td>
<td valign="top" align="center">0.062</td>
<td valign="top" align="center">0.034<sup><xref rid="tfn6-crt-2021-997" ref-type="table-fn">c)</xref></sup></td></tr>
<tr>
<td colspan="7" valign="top" align="left"><bold>OLGA stage</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;0</td>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;1</td>
<td valign="top" align="center">1.79 (0.18&#x02013;17.56)</td>
<td valign="top" align="center">0.615</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.65 (0.13&#x02013;20.16)</td>
<td valign="top" align="center">0.697</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;2</td>
<td valign="top" align="center">0.61 (0.04&#x02013;9.90)</td>
<td valign="top" align="center">0.728</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.57 (0.03&#x02013;10.28)</td>
<td valign="top" align="center">0.705</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;3</td>
<td valign="top" align="center">0.60 (0.04&#x02013;27.31)</td>
<td valign="top" align="center">0.719</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.51 (0.02&#x02013;10.59)</td>
<td valign="top" align="center">0.665</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;4</td>
<td valign="top" align="center">1.56 (0.09&#x02013;27.31)</td>
<td valign="top" align="center">0.761</td>
<td valign="top" align="center">0.689</td>
<td valign="top" align="center">1.63 (0.09&#x02013;30.55)</td>
<td valign="top" align="center">0.745</td>
<td valign="top" align="center">0.677</td></tr>
<tr>
<td colspan="7" valign="top" align="left"><bold>OLGIM stage</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;0</td>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;1</td>
<td valign="top" align="center">3.26 (0.38&#x02013;27.93)</td>
<td valign="top" align="center">0.282</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2.95 (0.33&#x02013;26.56)</td>
<td valign="top" align="center">0.334</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;2</td>
<td valign="top" align="center">2.22 (0.27&#x02013;18.54)</td>
<td valign="top" align="center">0.461</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2.10 (0.24&#x02013;18.20)</td>
<td valign="top" align="center">0.503</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;3</td>
<td valign="top" align="center">2.21 (0.24&#x02013;20.15)</td>
<td valign="top" align="center">0.481</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.75 (0.18&#x02013;16.83)</td>
<td valign="top" align="center">0.627</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;4</td>
<td valign="top" align="center">3.78 (0.42&#x02013;34.44)</td>
<td valign="top" align="center">0.238</td>
<td valign="top" align="center">0.452</td>
<td valign="top" align="center">3.38 (0.34&#x02013;33.17)</td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="center">0.617</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-crt-2021-997">
<p>CI, confidence interval; HR, hazard ratio; OLGA, operative link on gastritis assessment; OLGIM, operative link on gastric intestinal metaplasia assessment.</p></fn><fn id="tfn4-crt-2021-997">
<label>a)</label>
<p>Adjusted for age, sex, <italic>Helicobacter pylori</italic> infection status, and smoking,</p></fn><fn id="tfn5-crt-2021-997">
<label>b)</label>
<p>The cutoff value (35.82&#x00025;) of high or low <italic>MOS</italic> methylation levels was determined by receiver operating curve analysis. Atrophic gastritis and intestinal metaplasia were defined as the presence of histologic atrophy (score 1&#x02013;3) and intestinal metaplasia (score 1&#x02013;3), respectively, at either antrum or corpus by the updated Sydney scoring system,</p></fn><fn id="tfn6-crt-2021-997">
<label>c)</label>
<p>Statistically significant.</p></fn></table-wrap-foot></table-wrap></sec></back></article>
