<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.175170.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Association of 
                    <italic>cagA</italic>-Positive 
                    <italic>Helicobacter pylori</italic> with 
                    <italic>MGMT</italic> Promoter Hypermethylation Across the Gastric Disease Spectrum and Gastric Cancer</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Asaad Nadhir Ahmed</surname>
                        <given-names>Rafal</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0009-0007-6151-6659</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Jobair Muhaidi</surname>
                        <given-names>Mohammed</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="corresp" rid="c2">b</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Biotechnology, University of Fallujah College of Applied Sciences, Al-Fallujah, Al Anbar Governorate, Iraq</aff>
                <aff id="a2">
                    <label>2</label>Biotechnology, University of Fallujah College of Applied Sciences, Al-Fallujah, Al Anbar Governorate, Iraq</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:apsci.h2529@uofallujah.edu.iq">apsci.h2529@uofallujah.edu.iq</email>
                </corresp>
                <corresp id="c2">
                    <label>b</label>
                    <email xlink:href="mailto:Mjm20002014@uofallujah.edu.iq">Mjm20002014@uofallujah.edu.iq</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>3</day>
                <month>2</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>182</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>27</day>
                    <month>1</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Asaad Nadhir Ahmed R and Jobair Muhaidi M</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-182/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Epigenetic alteration through promoter DNA methylation is associated with gastric carcinogenesis. This study assessed the association between 
                        <italic toggle="yes">Helicobacter pylori</italic> infection, specifically 
                        <italic toggle="yes">cagA</italic>-positive strains, and 
                        <italic toggle="yes">MGMT</italic> promoter hypermethylation within the gastroduodenal disease spectrum in an Iraqi cohort.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>The study conducted a case control study of 120 participants (40 endoscopy confirmed controls without gastroduodenal disease and 80 patients with gastritis, peptic ulcer disease, lymphoma, or gastric adenocarcinoma). Standard OGD biopsies were collected. 
                        <italic toggle="yes">H. pylori</italic> status was determined by rapid urease testing, selective culture on blood agar with biochemical identification, and PCR confirmation; 
                        <italic toggle="yes">cagA</italic> was detected by conventional PCR using validated primers and cycling conditions. Genomic DNA was separated and bisulfite treatment converted. 
                        <italic toggle="yes">MGMT</italic> promoter methylation was measured by methylation specific PCR primers and bisulfate treatment. Statistical analyses used chi-square or chi-square and reported odds ratios with 95% confidence intervals.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>The results showed a significantly greater incidence of 
                        <italic toggle="yes">H. pylori</italic> than controls (72.5% vs. 0%; &#x03c7;
                        <sup>2</sup>=56.129, p&lt;0.001; OR=210.60, 95% CI 12.42&#x2013;3572.22). 
                        <italic toggle="yes">CagA</italic> was found in 56.3% of patients and 0% of controls (&#x03c7;
                        <sup>2</sup>=36.000, p&lt;0.001; OR=103.82, 95% CI 6.17&#x2013;1747.38). 
                        <italic toggle="yes">MGMT</italic> promoter hypermethylation was observed in 66.3% of patients, whereas none of the controls exhibited this condition (&#x03c7;
                        <sup>2</sup>=47.463, p&lt;0.001; OR=157.58, 95% CI 9.33&#x2013;2661.18). Methylation varied across disease categories (&#x03c7;
                        <sup>2</sup>(15)=66.433, p&lt;0.001), exhibiting heightened hypermethylation in gastritis (acute/chronic), peptic ulcer disease, gastric lymphoma, and gastric adenocarcinoma, whereas controls remained uniformly unmethylated. In the complete cohort
                        <italic toggle="yes">, H. pylori</italic> positivity exhibited a significant correlation with hypermethylation (43/58 vs 10/62; &#x03c7;
                        <sup>2</sup>=40.892, p&lt;0.001; OR=14.91, 95% CI 6.09&#x2013;36.60), while 
                        <italic toggle="yes">cagA</italic> positivity demonstrated an even more pronounced association (41/45 vs 12/75; &#x03c7;
                        <sup>2</sup>=64.345, p&lt;0.001; OR=53.81, 95% CI 16.24&#x2013;178.31). There was a link between smoking and hypermethylation (&#x03c7;
                        <sup>2</sup>(2)=15.218, p&lt;0.001), but sex, residence, chronic disease, and therapy were not significant (all p&gt;0.10).</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>

                        <italic toggle="yes">MGMT</italic> promoter hypermethylation is prevalent in gastroduodenal diseases in Iraqi cases, with 
                        <italic toggle="yes">H. pylori</italic> infection strongly correlated with 
                        <italic toggle="yes">MGMT</italic> hypermethylation, suggesting 
                        <italic toggle="yes">MGMT</italic> methylation as a biomarker for risk stratification.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Helicobacter pylori</kwd>
                <kwd>cagA</kwd>
                <kwd>MGMT promoter methylation</kwd>
                <kwd>bisulphate</kwd>
                <kwd>epigenetics</kwd>
                <kwd>qPCR.</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>Gastric cancer continues to be a significant contributor to cancer morbidity and mortality, with 
                <italic toggle="yes">Helicobacter pylori</italic> identified as a primary upstream factor in chronic gastritis and gastric carcinogenesis. In addition to inflammation, growing evidence suggests that epigenetic remodeling, especially DNA methylation of promoter regions, serves as a mechanistic link between infection and malignant transformation.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>,
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> DNA methylation at CpG islands can turn off genes that stop tumors from growing and make it harder for the genome to stay stable. O-6-methylguanine-DNA methyltransferase (
                <italic toggle="yes">MGMT</italic>) is an important DNA repair enzyme that removes O-6 alkyl adducts.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>,
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> When 
                <italic toggle="yes">MGMT</italic> is hypermethylated at its promoter, it makes it harder for cells to repair DNA and increases the number of mutations. Virulence factors of 
                <italic toggle="yes">H. pylori</italic>, particularly 
                <italic toggle="yes">cagA</italic>, are biologically equipped to enhance host signaling and oxidative stress, promoting abnormal methylation in the gastric epithelium.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>,
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> In high-burden contexts, elucidating the correlation between 
                <italic toggle="yes">H. pylori</italic> (and 
                <italic toggle="yes">CagA</italic> +/-) and 
                <italic toggle="yes">MGMT</italic> promoter methylation across the clinical continuum from gastritis and peptic ulcer disease to lymphoma and adenocarcinoma is of immediate translational significance.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>,
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>This study aims to elucidate the relationship between 
                <italic toggle="yes">H. pylori</italic> infection, specifically 
                <italic toggle="yes">CagA</italic>-positive strains, and 
                <italic toggle="yes">MGMT</italic> promoter hypermethylation, as well as to assess the variability of methylation frequencies across standardized gastroduodenal diagnoses. The focus is on quantifying effect sizes for infection&#x2013;methylation associations and contextualising methylation within the observed disease gradient, while also analyzing prevalent cofactors such as smoking, sex, residence, chronic illness, and treatment.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>The primary objective is to assess the correlation between 
                <italic toggle="yes">H. pylori cagA</italic> positive and 
                <italic toggle="yes">MGMT</italic> promoter hypermethylation within the gastroduodenal disease spectrum in an Iraqi cohort. The goals are: (i) to find out how common 
                <italic toggle="yes">H. pylori</italic>, 
                <italic toggle="yes">cagA</italic> carriage, and 
                <italic toggle="yes">MGMT</italic> hypermethylation are in both control and patient groups; (ii) to use the right inferential statistics to find out how strong the link is between infection status and 
                <italic toggle="yes">MGMT</italic> hypermethylation; (iii) to describe how 
                <italic toggle="yes">MGMT</italic> methylation is spread across acute and chronic gastritis, peptic ulcer disease, gastric lymphoma, and gastric adenocarcinoma; (iv) to look into links between methylation status and key cofactors, pointing out variables that show strong links; and (v) to evaluate the potential of 
                <italic toggle="yes">MGMT</italic> promoter hypermethylation as an epigenetic biomarker to help with risk stratification and early detection in endoscopy pathways.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Subjects</title>
                <p>The study included 120 participants undergoing oesophago-gastroduodenoscopy (OGD): 40 endoscopy-verified controls without gastroduodenal disease and 80 patients diagnosed with gastritis, peptic ulcer disease, gastric lymphoma, or gastric adenocarcinoma. For each participant one biopsy was used immediately for the rapid urease test. The remaining biopsies were placed into sterile, labelled microtubes and transported on ice. The distributions of age and sex were broadly similar between cases and controls.</p>
            </sec>
            <sec id="sec8">
                <title>Inclusion criteria</title>
                <p>The inclusion criteria were individuals aged 18 years or older, possessing sufficient gastric biopsy material, and having comprehensive clinical data; the control group exhibited a normal OGD without any macroscopic or histological evidence of gastroduodenal disease.</p>
            </sec>
            <sec id="sec9">
                <title>Exclusion criteria</title>
                <p>Exclusion criteria included those with history autoimmune diseases and other types of cancers.</p>
            </sec>
            <sec id="sec10">
                <title>Detection of 
                    <italic toggle="yes">Helicobacter pylori</italic>
</title>
                <p>Endoscopic biopsies were collected following standard OGD protocols and promptly processed for 
                    <italic toggle="yes">Helicobacter pylori</italic> testing and nucleic acid workflows. The rapid urease testing was used at the bedside using medium from the manufacturer (Himedia, India). For culture, biopsies were transported in Stuart medium and plated on blood agar supplemented with Skirrow selective supplement and 5% defibrinated sheep blood (Himedia, India); plates were incubated micro aerobically at 37&#x00b0;C for 3 days. Colonial morphology, Gram stain, oxidase, catalase, and urease tests were used to diagnose presumptive 
                    <italic toggle="yes">H. pylori</italic> colonies. Kligler iron agar was used when necessary to rule out 
                    <italic toggle="yes">Enterobacteriaceae.</italic> Biopsy samples DNA extraction was stored at &#x2212;20&#x00b0;C. The silica-column based DNA extraction kit (G-spin DNA extraction kit, iNtRON Biotechnology, Korea) was used to isolate bacterial DNA from a biopsy or culture. Using primers made by Macrogen (Korea), 
                    <italic toggle="yes">CagA</italic>-F 5&#x2032;-GATAGGGATAACAGGCAAGC-3&#x2032; and 
                    <italic toggle="yes">CagA</italic>-R 5&#x2032;-GGGGGTTGTATGATATTTTC-3&#x2032; (amplicon size 297 bp),
                    <sup>
                        <xref ref-type="bibr" rid="ref10">10</xref>
                    </sup> the study used conventional PCR to assess the virulence of 
                    <italic toggle="yes">H. pylori.</italic> The reactions were prepared with Maxime PCR PreMix (i-Taq; iNtRON, Korea) in 25 &#x03bc;L and cycled on a SimpliAmp&#x2122; thermal cycler (Applied Biosystems, USA) with 94&#x00b0;C 5 min; 35 cycles of 94&#x00b0;C 35 s, 50&#x00b0;C 35 s, 72&#x00b0;C 35 s; final extension 72&#x00b0;C 7 min. RedSafe to stain 2% agarose/TBE gels were used to visualize the PCR products. A 100-bp ladder was used as a size marker.</p>
            </sec>
            <sec id="sec11">
                <title>Evaluation of the 
                    <italic toggle="yes">MGMT</italic> promoter methylation</title>
                <p>The study used the Monarch
                    <sup>&#x00ae;</sup> Genomic DNA Purification Kit (New England Biolabs, USA) to clean up genomic DNA from gastric tissue. The DNA concentration and purity were assessed using Nanodrop, Thermofisher scientific, USA, by measuring absorbance of samples with an OD 260/280 ratio between 1.8 and 2.1 and concentration ranged from 122 to 400 pg/ul were considered suitable for downstream bisulfite conversion and MSP. The MethylEdge
                    <sup>&#x00ae;</sup> Bisulfite Conversion System (Promega, USA; Cat. N1301) was used to convert bisulfite, following the manufacturer&#x2019;s instructions, which included desulphonation and spin-column cleanup. We used methylation-specific PCR (MSP) to check the status of the 
                    <italic toggle="yes">MGMT</italic> promoter. The primers were used Macrogen (Korea) for the methylated set 
                    <italic toggle="yes">MGMT</italic>-M (Left-M 5&#x2032;-TATTTTTGTGATAGGAAAAGGTACG-3&#x2032;; Right-M 5&#x2032;-TAAAACAATCTACGCATCCTCG-3&#x2032;; 191 bp) and the unmethylated set 
                    <italic toggle="yes">MGMT</italic>-U (Left-U 5&#x2032;-ATTTTTGTGATAGGAAAAGGTATGG-3&#x2032;; Right-U 5&#x2032;-CTAAAACAATCTACACATCCTCACT-3&#x2032;; 191 bp). MSPs were performed on the SimpliAmp&#x2122; platform under optimized cycling conditions, incorporating fully methylated and unmethylated controls in each batch. Real-time confirmation utilized SYBR Green PCR Master Mix (Synthol, Russia) in 20 &#x03bc;L reactions (10 &#x03bc;L master mix, 1 &#x03bc;L MgCl
                    <sub>2</sub>, 1 &#x03bc;L each primer, 2 &#x03bc;L template, 5 &#x03bc;L nuclease-free water) and the specified program: 95&#x00b0;C for 5 minutes, followed by 45 cycles of 95&#x00b0;C for 20 seconds, 53&#x2013;60&#x00b0;C for 20 seconds, and 72&#x00b0;C for 20 seconds. Melt-curve analysis confirmed specificity.</p>
            </sec>
            <sec id="sec12">
                <title>Statistical analysis</title>
                <p>Counts and percentages and compared SPSS version 27 of the expected frequency was used and exact p-values were obtained using chi-square exact test. Odds ratios (ORs) with 95% confidence intervals (CI) were calculated.</p>
            </sec>
        </sec>
        <sec id="sec13" sec-type="results">
            <title>Results</title>
            <p>The study comprised 120 participants (40 controls and 80 patients). The sex distribution did not exhibit a significant difference between groups (females: 32.5% in controls vs 43.8% in patients; &#x03c7;
                <sup>2</sup> = 1.406, p = 0.236; OR = 0.62, 95% CI 0.28&#x2013;1.37). Patients were aged greater than controls (42.83 &#x00b1; 13.49 vs 39.95 &#x00b1; 12.59 years), but there are no significant differences between the two groups (&#x03c7;
                <sup>2</sup> = 50.411, p = 0.125; OR = 2.33, 95% CI 1.04&#x2013;5.22). There was a significant difference in residence by group: 50.0% of patients lived in rural areas compared to 30.0% of controls (&#x03c7;
                <sup>2</sup> = 4.344, p = 0.037). The complementary comparison showed that patients were less likely to live in urban areas (&#x03c7;
                <sup>2</sup> = 6.018, p = 0.014; OR = 0.38, 95% CI 0.17&#x2013;0.83). Patients had a lower rate of smoking than controls (41.2% vs. 65.0%), but the difference was statistically significant (&#x03c7;
                <sup>2</sup> = 13.125, p = 0.001). Patients were more likely to receive therapy (treated: 46.3% vs 27.5%; &#x03c7;
                <sup>2</sup> = 3.906, p = 0.048; OR = 2.27, 95% CI 1.00&#x2013;5.16). By design and clinical adjudication, all controls were free of gastroduodenal disease (100.0%), while all patients had a documented diagnosis (&#x03c7;
                <sup>2</sup> = 120.0, p &lt; 0.001) as reported in 
                <xref ref-type="table" rid="T1">Table 1</xref>.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>
Table 1. </label>
                <caption>
                    <title>Demographic characteristics of patient and control.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Variable</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Category</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Controls (n = 40)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Patients (n = 80)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
&#x03c7;
                                <sup>2</sup> (chi-sq)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
p (2-sided)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
OR (95% CI)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Sex</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13 (32.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35 (43.8%)</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">1.406</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.236</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.62 (0.28&#x2013;1.37)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27 (67.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">45 (56.2%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age (years)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2014;</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39.95 &#x00b1; 12.59</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">42.83 &#x00b1; 13.49</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">50.411</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.125</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.33 (1.04&#x2013;5.22)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Residence</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Rural</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12 (30.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40 (50.0%)</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">4.344</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.037</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.38 (0.17&#x2013;0.83)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Urban</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28 (70.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40 (50.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Chronic disease (CD)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14 (35.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47 (58.8%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.018</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.014</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2014;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Smoking</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26 (65.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">33 (41.2%)</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">13.125</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.001</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">&#x2014;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34 (85.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">50 (62.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Therapy</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Treated (T)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11 (27.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37 (46.3%)</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">3.906</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.048</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">2.27 (1.00&#x2013;5.16)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Untreated (U)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29 (72.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">43 (53.8%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Disease</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">None</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40 (100.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0 (0.0%)</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">120.000</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">&lt;0.001</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">&#x2014;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Patient diagnoses</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0 (0.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">80 (100.0%)</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>There was a clear difference in the number of infections and the number of virulence carriers between the groups. The prevalence of 
                <italic toggle="yes">Helicobacter pylori</italic> was significantly higher in patients (72.5%) and there is no infection recorded in control (0%) with &#x03c7;
                <sup>2</sup> = 56.129 and p &lt; 0.00, indicating substantially elevated odds of infection in patients (OR = 210.60, 95% CI 12.42&#x2013;3572.22). The 
                <italic toggle="yes">cagA</italic> virulence gene was also found in more than half of the patients but not in any of the controls (56.3% vs 0%; &#x03c7;
                <sup>2</sup> = 36.000, p &lt; 0.001), which means That the effect size was very large (OR = 103.82, 95% CI 6.17&#x2013;1747.38) as demonstrated in 
                <xref ref-type="fig" rid="f1">Figure 1</xref> A+B.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>
Figure 1. </label>
                <caption>
                    <title>Proportions of 
                        <italic toggle="yes">H. pylori</italic> (A) and 
                        <italic toggle="yes">cagA</italic> (B) positivity in controls (n = 40) and patients (n = 80).</title>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/193131/f6ca9227-ad12-4c9e-8a92-f57fe2ef6bd4_figure1.gif"/>
                <graphic id="gr2" orientation="portrait" position="float" xlink:href="f6ca9227-ad12-4c9e-8a92-f57fe2ef6bd4_figure2.gif"/>
            </fig>
            <p>There was a clear difference between the two groups: hypermethylation was present in 66.3% of patients and 0% of controls (&#x03c7;
                <sup>2</sup> = 47.463, p &lt; 0.001), which is a large effect size (OR = 157.58, 95% CI 9.33&#x2013;2661.18). As reported in 
                <xref ref-type="table" rid="T2">Table 2</xref>.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>
Table 2. </label>
                <caption>
                    <title>

                        <italic toggle="yes">MGMT</italic> promoter methylation status in patient and control.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Variable</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Category</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Controls (n = 40)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Patients (n = 80)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
&#x03c7;
                                <sup>2</sup> (chi-sq)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
p (2-sided)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
OR (95% CI)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Methylation status</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hypermethylated</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0 (0.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">53 (66.3%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47.463</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">157.58 (9.33&#x2013;2661.18)</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Unmethylated</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40 (100.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27 (33.8%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>In a sample of 120 participants, sex, residence, chronic disease, and therapy exhibited no significant correlations with 
                <italic toggle="yes">MGMT</italic> promoter methylation in bivariate analysis (all p &gt; 0.10). The distribution of females versus males was similar between hypermethylated and unmethylated cases (&#x03c7;
                <sup>2</sup> = 0.681, p = 0.409). The status of chronic disease did not vary with methylation (&#x03c7;
                <sup>2</sup> = 0.510, p = 0.475). Residence indicated a non-significant trend towards increased hypermethylation in rural compared to urban environments (&#x03c7;
                <sup>2</sup> = 2.239, p = 0.135). Previous treatment did not correlate with methylation status (&#x03c7;
                <sup>2</sup> = 0.456, p = 0.499). Conversely, smoking exhibited a significant correlation with methylation (overall &#x03c7;
                <sup>2</sup> with 3 categories = 15.218, p &lt; 0.001), and the aggregated comparison revealed increased odds of hypermethylation among smokers compared to non-smokers (OR = 4.55, 95% CI 1.96&#x2013;10.55) as showed in 
                <xref ref-type="table" rid="T3">Table 3</xref>.</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>
Table 3. </label>
                <caption>
                    <title>Associations between covariates and 
                        <italic toggle="yes">MGMT</italic> methylation status.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Variable</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Category</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Hypermethylated (n = 53)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Unmethylated (n = 67)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
&#x03c7;
                                <sup>2</sup> (chi-sq)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
p (2-sided)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
OR (95% CI)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Sex</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">19 (39.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29 (60.4%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.681</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.409</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.73 (0.35&#x2013;1.54)</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34 (47.2%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38 (52.8%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Chronic disease (CD)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25 (41.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36 (59.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.510</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.475</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.30 (0.63&#x2013;2.68)</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28 (47.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31 (52.5%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Residence</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Rural</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27 (51.9%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25 (48.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.239</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.135</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.74 (0.84&#x2013;3.63)</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Urban</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26 (38.2%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">42 (61.8%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Smoking</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Non-smoker (No)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28 (33.3%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">56 (66.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15.218 (df = 2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.55 (1.96&#x2013;10.55)&#x2021;</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Smoker (Yes)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25 (69.4%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11 (30.6%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Therapy</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Treated (T)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">23 (47.9%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25 (52.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.456</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.499</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.29 (0.62&#x2013;2.69)</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Untreated (U)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30 (41.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">42 (58.3%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>There was a significant association between 
                <italic toggle="yes">H. pylori</italic> infection and 
                <italic toggle="yes">MGMT</italic> promoter hypermethylation (
                <xref ref-type="table" rid="T4">Table 4</xref>). In 
                <italic toggle="yes">H. pylori</italic> positive cases, 74.1% exhibited hypermethylation, whereas only 16.1% of 
                <italic toggle="yes">H. pylori</italic>&#x2013;negative cases showed this characteristic (&#x03c7;
                <sup>2</sup> = 40.892, p &lt; 0.001), indicating significantly elevated odds of hypermethylation associated with infection (OR = 14.91, 95% CI 6.09&#x2013;36.60). The association was more significant for 
                <italic toggle="yes">cagA</italic> positivity, with hypermethylation seen in 91.1% of 
                <italic toggle="yes">cagA</italic>-positive people compared to 16.0% of 
                <italic toggle="yes">cagA</italic>-negative people (&#x03c7;
                <sup>2</sup> = 64.345, p &lt; 0.001; OR = 53.81, 95% CI 16.24&#x2013;178.31) as reported in 
                <xref ref-type="table" rid="T4">Table 4</xref>.</p>
            <table-wrap id="T4" orientation="portrait" position="float">
                <label>
Table 4. </label>
                <caption>
                    <title>Effect of 
                        <italic toggle="yes">H. pylori</italic> infection and 
                        <italic toggle="yes">cagA</italic> on 
                        <italic toggle="yes">MGMT</italic> promoter methylation.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Variable</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Category</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Negative n (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Positive n (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
&#x03c7;
                                <sup>2</sup> (chi-sq)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
p (2-sided)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
OR (95% CI)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <italic toggle="yes">H. pylori</italic> (n&#x2212;=62, n+=58)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hypermethylated</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10 (16.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">43 (74.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40.892</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14.91 (6.09&#x2013;36.60)</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Unmethylated</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52 (83.9%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15 (25.9%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <italic toggle="yes">cagA</italic> (n&#x2212;=75, n+=45)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hypermethylated</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12 (16.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">41 (91.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">64.345</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">53.81 (16.24&#x2013;178.31)</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Unmethylated</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">63 (84.0%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (8.9%)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
        </sec>
        <sec id="sec14" sec-type="discussion">
            <title>Discussion</title>
            <p>

                <italic toggle="yes">Helicobacter pylori</italic> infection significantly promotes the progression of chronic gastritis to gastric carcinoma by influencing inflammatory and oxidative pathways, as well as inducing epigenetic modification of host gastric epithelial cells. The present study has a cross-sectional, observational design and therefore cannot establish a definitive causal or mechanistic relationship between 
                <italic toggle="yes">H. pylori</italic>, particularly 
                <italic toggle="yes">cagA</italic>-positive strains, and 
                <italic toggle="yes">MGMT</italic> promoter hypermethylation. The findings demonstrate 
                <italic toggle="yes">H. pylori</italic> induced oxidative stress, 
                <italic toggle="yes">DNMT</italic> upregulation, and promoter hypermethylation. Integrating insights that 
                <italic toggle="yes">H. pylori</italic> act as an upstream driver of 
                <italic toggle="yes">MGMT</italic> epigenetic silencing, but longitudinal and interventional studies are required to confirm this causal pathway. When tumor suppressors and DNA repair genes, like 
                <italic toggle="yes">MGMT</italic>, get too much methylation, the DNA repair machinery stops working. This is the most important change.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> This makes mutations build up and the cells become cancerous. recurrent inflammation, oxidative stress, and host signaling pathways are the main reasons why 
                <italic toggle="yes">H. pylori</italic> cause 
                <italic toggle="yes">MGMT</italic> to be epigenetically silenced. Studies show that when 
                <italic toggle="yes">H. pylori</italic> invade the gastric mucosa, it triggers a strong immune response that damages DNA and turns on DNA damage response pathways.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> This leads to an overexpression of DNA methyltransferases (DNMTs). These enzymes are very important because they move methyl groups to cytosine residues. This leads to unusual DNA methylation in the promoter areas of genes that control cell cycle arrest, apoptosis, and DNA repair. 
                <italic toggle="yes">MGMT</italic>, a crucial DNA repair gene, is particularly susceptible to methylation-mediated silencing during 
                <italic toggle="yes">H. pylori</italic> infection, promoting neoplastic progression.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> The detection of 
                <italic toggle="yes">MGMT</italic> promoter hypermethylation in inflamed but histologically benign mucosa underscores its possible function as an early molecular event in gastric carcinogenesis. Longitudinal data suggest that the elimination of 
                <italic toggle="yes">H. pylori</italic> infection can partially reverse or impede these methylation changes, indicating that bacterial eradication not only reduces inflammation but may also restore normal epigenetic regulation in the gastric mucosa.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> A number of studies suggest that 
                <italic toggle="yes">MGMT</italic> promoter hypermethylation may serve as a non-invasive biomarker for risk assessment and early detection, potentially influencing therapeutic sensitivity and prognosis in cancers associated with 
                <italic toggle="yes">MGMT</italic> silencing.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Nonetheless, the strength of this relationship may vary among populations due to genetic, dietary, and environmental influences on methyl group metabolism and inflammatory response, supporting the conclusions of this study.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>,
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> A study confirmed the results of this research, demonstrating that 
                <italic toggle="yes">H. pylori</italic> colonisation correlates with elevated DNMT activity and a hypermethylation of islands of CpG in the gastric mucosa, with 
                <italic toggle="yes">MGMT</italic> identified as one of the most frequently silenced DNA repair genes.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> A study confirmed these findings by showing that 
                <italic toggle="yes">MGMT</italic> methylation can be detected not only in cancerous tissues but also in inflamed, non-neoplastic mucosa, corresponding with an epigenetic &#x201c;field defect&#x201d; that occurs prior to histological transformation. Another study confirmed the finding of this study that 
                <italic toggle="yes">cagA</italic> positivity is linked to the strongest association. This study found that 
                <italic toggle="yes">cagA</italic>-positive strains cause more significant promoter hypermethylation and greater suppression of 
                <italic toggle="yes">MGMT</italic> expression than 
                <italic toggle="yes">cagA</italic>-negative strains.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> A subsequent study validated the present findings by demonstrating that 
                <italic toggle="yes">H. pylori</italic>-induced oxidative and inflammatory signaling elevates DNMT1 expression and encourages 
                <italic toggle="yes">MGMT</italic> silencing, thereby hindering the repair of O6-alkylguanine adducts and promoting the accumulation of mutations. The gradient hypermethylation identified in gastritis and peptic ulcer disease, progressing to malignant outcomes, is supported by prior clinical studies.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> A study validated the results of this research, illustrating progressive elevations in 
                <italic toggle="yes">MGMT</italic> methylation from chronic gastritis to intestinal metaplasia and carcinoma.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>,
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> This suggests that methylation acts as an early and enduring indicator of 
                <italic toggle="yes">H. pylori</italic>-associated mucosal remodeling. A study confirmed a similar trend by showing that 
                <italic toggle="yes">MGMT</italic> methylation often comes before morphological dysplasia, which supports its use as a risk-stratification marker during endoscopic surveillance.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Interventional data supports our etiological interpretation: a study confirmed the findings of this research and recorded a partial reversal or reduction of aberrant methylation following 
                <italic toggle="yes">H. pylori</italic> eradication, suggesting that a segment of the 
                <italic toggle="yes">MGMT</italic> methylation is infection-dependent and subject to modification. A study validated the results of this research demonstrating a heightened probability of 
                <italic toggle="yes">MGMT</italic> hypermethylation in smokers, consistent with cumulative oxidative stress and methylation pressure.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> A study also confirmed that dietary methyl donors, nitrosamine exposure, and polymorphisms in methylation or repair genes influence the variations in effect sizes across studies.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> In addition to 
                <italic toggle="yes">MGMT</italic>, a study confirmed the broader context and documented the coordinated methylation of additional tumor-suppressor and mismatch-repair loci in 
                <italic toggle="yes">H. pylori</italic>&#x2013;infected mucosa, situating 
                <italic toggle="yes">MGMT</italic> within a more extensive, infection-induced epigenetic framework that undermines genome preservation and epithelial homeostasis.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> The comparative evidence collectively supports a unified model in which 
                <italic toggle="yes">H. pylori</italic>, especially the most 
                <italic toggle="yes">cagA</italic> positive strains, act as an upstream catalyst for 
                <italic toggle="yes">MGMT</italic> promoter hypermethylation during the initial phases of the gastritis carcinoma sequence. Studies validating these results indicate a persistent increase in 
                <italic toggle="yes">MGMT</italic> methylation within infected, inflamed mucosa, its presence in precancerous phases, and a degree of reversibility following eradication.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>,
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> In contrast, research that challenges these findings primarily focusses on late-stage, tumor-exclusive cohorts, where subsequent epigenetic remodeling may obscure the initial microbial signal. In this context, 
                <italic toggle="yes">MGMT</italic> hypermethylation is recognized as an indicator of infection-related epigenetic damage and a potential biomarker for risk stratification in endoscopic procedures.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> Standardized, quantitative methylation assays performed longitudinally across well-defined stages accounting for 
                <italic toggle="yes">cagA</italic> status, sampling site, eradication history, and lifestyle cofactors are imperative to address existing discrepancies and to determine the clinical relevance of 
                <italic toggle="yes">MGMT</italic> methylation in 
                <italic toggle="yes">H. pylori</italic>-associated gastric carcinogenesis.
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> The extremely large ORs and wide CI for some comparisons (e.g., infection prevalence in cases vs controls) result from zero events in the control group. These estimates indicating the presence of a very strong association rather than providing an exact quantitative measure of risk.</p>
            <p>In conclusion, the interaction of inflammatory, oxidative, and virulence-mediated mechanisms clarifies the strong link between 
                <italic toggle="yes">H. pylori</italic> infection, especially with 
                <italic toggle="yes">cagA</italic>-positive strains, and 
                <italic toggle="yes">MGMT</italic> promoter hypermethylation in the gastric mucosa. This epigenetic alteration serves as a crucial connection between chronic infection and the molecular initiation of gastric carcinogenesis by disrupting an essential DNA repair mechanism. 
                <italic toggle="yes">MGMT</italic> hypermethylation not only indicates the degree of damage inflicted by infection but also functions as a prognostic marker for malignant potential. Its frequent occurrence across diverse populations and disease stages underscores its generality as an epigenetic signature linked to infection. Comprehending and targeting this methylation pathway offers promising opportunities for early diagnosis, chemoprevention, and customised management of 
                <italic toggle="yes">H. pylori</italic>-related gastric cancer.</p>
        </sec>
        <sec id="sec15">
            <title>Ethical considerations</title>
            <p>This study was conducted in accordance with the ethical standards of the Iraqi Ministry of Health and the regulations of the Al-Anbar Health Directorate. Ethical approval was obtained from the Research Committee of the Al-Anbar Health Directorate (Approval No. 35813, dated 28 October 2025). In addition, ethical approval was granted by the Research Ethics Committee of the University of Fallujah, College of Applied Sciences (Approval No. AS-EC/0011, dated 21 December 2025). All procedures involving human participants were performed in accordance with the Declaration of Helsinki. Gastric biopsy samples were collected only after obtaining written informed consent from all participants. All personal identifiers were removed prior to data analysis to ensure participant confidentiality.</p>
        </sec>
    </body>
    <back>
        <sec id="sec18" sec-type="data-availability">
            <title>Data availability</title>
            <p>The datasets generated and analyzed during the current study are available in the Zenodo repository: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18158104">https://doi.org/10.5281/zenodo.18158104</ext-link>. This repository includes the underlying data (MGMT methylation assays, 
                <italic toggle="yes">H. pylori</italic> molecular results, sequencing files) and all extended materials (protocols, ethical approvals, supplementary figures, and tables). Data are released under the 

                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0 license</ext-link>.
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup>
            </p>
        </sec>
        <ref-list>
            <title>References</title>
            <ref id="ref1">
                <label>1</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Salvatori</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Marafini</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Laudisi</surname>
                            <given-names>F</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Helicobacter pylori and Gastric Cancer: Pathogenetic Mechanisms.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Mol. Sci.</italic>
</source>
                    <year>2023</year>;<volume>24</volume>(<issue>3</issue>):<fpage>2895</fpage>.
                    <pub-id pub-id-type="pmid">36769214</pub-id>
                    <pub-id pub-id-type="doi">10.3390/IJMS24032895</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9917787</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Asaka</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sepulveda</surname>
                            <given-names>AR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sugiyama</surname>
                            <given-names>T</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Gastric Cancer.</article-title>
                    <source>

                        <italic toggle="yes">Helicobacter pylori: Physiology and Genetics.</italic>
</source>
                    <year>2001</year>. Accessed October 16, 2025.
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/books/NBK2445/">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref3">
                <label>3</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Mohammadi</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Khanbabaei</surname>
                            <given-names>H</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zandi</surname>
                            <given-names>F</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Curcumin: A therapeutic strategy for targeting the Helicobacter pylori-related diseases.</article-title>
                    <source>

                        <italic toggle="yes">Microb. Pathog.</italic>
</source>
                    <year>2022</year>;<volume>166</volume>:<fpage>105552</fpage>.
                    <pub-id pub-id-type="pmid">35469998</pub-id>
                    <pub-id pub-id-type="doi">10.1016/J.MICPATH.2022.105552</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref4">
                <label>4</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Liu</surname>
                            <given-names>X</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Irfan</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Xingzhi</surname>
                            <given-names>X</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Helicobacter pylori infection induced genome instability and gastric cancer.</article-title>
                    <source>

                        <italic toggle="yes">Genome Instab. Dis.</italic>
</source>
                    <year>2020</year>;<volume>1</volume>(<issue>3</issue>):<fpage>129</fpage>&#x2013;<lpage>142</lpage>.
                    <pub-id pub-id-type="doi">10.1007/S42764-020-00010-1</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref5">
                <label>5</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Alvarez</surname>
                            <given-names>MC</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Santos</surname>
                            <given-names>JC</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Maniezzo</surname>
                            <given-names>N</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>MGMT and MLH1 methylation in Helicobacter pylori-infected children and adults.</article-title>
                    <source>

                        <italic toggle="yes">World J. Gastroenterol: WJG.</italic>
</source>
                    <year>2013</year>;<volume>19</volume>(<issue>20</issue>):<fpage>3043</fpage>&#x2013;<lpage>3051</lpage>.
                    <pub-id pub-id-type="pmid">23716983</pub-id>
                    <pub-id pub-id-type="doi">10.3748/WJG.V19.I20.3043</pub-id>
                    <pub-id pub-id-type="pmcid">PMC3662943</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ding</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Yang</surname>
                            <given-names>Q</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Wang</surname>
                            <given-names>B</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>The Correlation of MGMT Promoter Methylation and Clinicopathological Features in Gastric Cancer: A Systematic Review and Meta-Analysis.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2016</year>;<volume>11</volume>(<issue>11</issue>).
                    <pub-id pub-id-type="pmid">27824946</pub-id>
                    <pub-id pub-id-type="doi">10.1371/JOURNAL.PONE.0165509</pub-id>
                    <pub-id pub-id-type="pmcid">PMC5100908</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>De Marco</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sanese</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Simone</surname>
                            <given-names>C</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Histone and DNA Methylation as Epigenetic Regulators of DNA Damage Repair in Gastric Cancer and Emerging Therapeutic Opportunities.</article-title>
                    <source>

                        <italic toggle="yes">Cancers (Basel).</italic>
</source>
                    <year>2023</year>;<volume>15</volume>(<issue>20</issue>):<fpage>4976</fpage>.
                    <pub-id pub-id-type="pmid">37894343</pub-id>
                    <pub-id pub-id-type="doi">10.3390/CANCERS15204976</pub-id>
                    <pub-id pub-id-type="pmcid">PMC10605360</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <label>8</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Reyes</surname>
                            <given-names>VE</given-names>
                        </name>
</person-group>:
                    <article-title>Helicobacter pylori and Its Role in Gastric Cancer.</article-title>
                    <source>

                        <italic toggle="yes">Microorganisms.</italic>
</source>
                    <year>2023</year>;<volume>11</volume>(<issue>5</issue>):<fpage>1312</fpage>.
                    <pub-id pub-id-type="doi">10.3390/MICROORGANISMS11051312</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref9">
                <label>9</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Salvatori</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Marafini</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Laudisi</surname>
                            <given-names>F</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Helicobacter pylori and Gastric Cancer: Pathogenetic Mechanisms.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Mol. Sci.</italic>
</source>
                    <year>2023</year>;<volume>24</volume>(<issue>3</issue>):<fpage>2895</fpage>.
                    <pub-id pub-id-type="pmid">36769214</pub-id>
                    <pub-id pub-id-type="doi">10.3390/IJMS24032895</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9917787</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref10">
                <label>10</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wang</surname>
                            <given-names>F</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Qu</surname>
                            <given-names>N</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Peng</surname>
                            <given-names>J</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>CagA promotes proliferation and inhibits apoptosis of GES-1 cells by upregulating TRAF1/4-1BB.</article-title>
                    <source>

                        <italic toggle="yes">Mol. Med. Rep.</italic>
</source>
                    <year>2017</year>;<volume>16</volume>(<issue>2</issue>):<fpage>1262</fpage>&#x2013;<lpage>1268</lpage>.
                    <pub-id pub-id-type="pmid">28627614</pub-id>
                    <pub-id pub-id-type="doi">10.3892/MMR.2017.6757/DOWNLOAD</pub-id>
                    <pub-id pub-id-type="pmcid">PMC5561785</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <label>11</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Yu</surname>
                            <given-names>D</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Cao</surname>
                            <given-names>T</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Di</surname>
                            <given-names>HY</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Relationships between MGMT promoter methylation and gastric cancer: a meta-analysis.</article-title>
                    <source>

                        <italic toggle="yes">Onco Targets Ther.</italic>
</source>
                    <year>2016</year>;<volume>9</volume>:<fpage>6049</fpage>&#x2013;<lpage>6057</lpage>.
                    <pub-id pub-id-type="pmid">27785051</pub-id>
                    <pub-id pub-id-type="doi">10.2147/OTT.S114052</pub-id>
                    <pub-id pub-id-type="pmcid">PMC5063565</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref12">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ding</surname>
                            <given-names>SZ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Goldberg</surname>
                            <given-names>JB</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hatakeyama</surname>
                            <given-names>M</given-names>
                        </name>
</person-group>:
                    <article-title>Helicobacter pylori infection, oncogenic pathways and epigenetic mechanisms in gastric carcinogenesis.</article-title>
                    <source>

                        <italic toggle="yes">Future Oncol.</italic>
</source>
                    <year>2010</year>;<volume>6</volume>(<issue>5</issue>):<fpage>851</fpage>&#x2013;<lpage>862</lpage>.
                    <pub-id pub-id-type="pmid">20465395</pub-id>
                    <pub-id pub-id-type="doi">10.2217/FON.10.37</pub-id>
                    <pub-id pub-id-type="pmcid">PMC2882595</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Raza</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mubarak</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Memon</surname>
                            <given-names>MY</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Update on molecular pathogenesis of Helicobacter pylori-induced gastric cancer.</article-title>
                    <source>

                        <italic toggle="yes">World J. Gastrointest. Pathophysiol.</italic>
</source>
                    <year>2025</year>;<volume>16</volume>(<issue>2</issue>):<fpage>107052</fpage>.
                    <pub-id pub-id-type="pmid">40568035</pub-id>
                    <pub-id pub-id-type="doi">10.4291/WJGP.V16.I2.107052</pub-id>
                    <pub-id pub-id-type="pmcid">PMC12186192</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Laqqan</surname>
                            <given-names>MM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Yassin</surname>
                            <given-names>MM</given-names>
                        </name>
</person-group>:
                    <article-title>Influence of tobacco cigarette heavy smoking on DNA methylation patterns and transcription levels of MAPK8IP3, GAA, ANXA2, PRRC2A, and PDE11A genes in human spermatozoa.</article-title>
                    <source>

                        <italic toggle="yes">Middle East Fertil Soc J.</italic>
</source>
                    <year>2021</year>;<volume>26</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>16</lpage>.
                    <pub-id pub-id-type="doi">10.1186/S43043-021-00084-1/TABLES/6</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref15">
                <label>15</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Zhang</surname>
                            <given-names>W</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Xu</surname>
                            <given-names>J</given-names>
                        </name>
</person-group>:
                    <article-title>DNA methyltransferases and their roles in tumorigenesis.</article-title>
                    <source>

                        <italic toggle="yes">Biomark. Res.</italic>
</source>
                    <year>2017</year>;<volume>5</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>8</lpage>.
                    <pub-id pub-id-type="doi">10.1186/S40364-017-0081-Z/FIGURES/2</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref16">
                <label>16</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kupcinskaite-Noreikiene</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ugenskiene</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Noreika</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Gene methylation profile of gastric cancerous tissue according to tumor site in the stomach.</article-title>
                    <source>

                        <italic toggle="yes">BMC Cancer.</italic>
</source>
                    <year>2016</year>;<volume>16</volume>(<issue>1</issue>):<fpage>40</fpage>.
                    <pub-id pub-id-type="pmid">26810771</pub-id>
                    <pub-id pub-id-type="doi">10.1186/S12885-016-2077-8</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4727411</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref17">
                <label>17</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Berghoff</surname>
                            <given-names>AS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hainfellner</surname>
                            <given-names>JA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Marosi</surname>
                            <given-names>C</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Assessing MGMT methylation status and its current impact on treatment in glioblastoma.</article-title>
                    <source>

                        <italic toggle="yes">CNS Oncol.</italic>
</source>
                    <year>2015</year>;<volume>4</volume>(<issue>1</issue>):<fpage>47</fpage>&#x2013;<lpage>52</lpage>.
                    <pub-id pub-id-type="pmid">25586425</pub-id>
                    <pub-id pub-id-type="doi">10.2217/CNS.14.50</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6093023</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref18">
                <label>18</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Chen</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zheng</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhuo</surname>
                            <given-names>L</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Association between MGMT Promoter Methylation and Risk of Breast and Gynecologic Cancers: A Systematic Review and Meta-Analysis.</article-title>
                    <source>

                        <italic toggle="yes">Sci. Rep.</italic>
</source>
                    <year>2017</year>;<volume>7</volume>(<issue>1</issue>):<fpage>12783</fpage>.
                    <pub-id pub-id-type="pmid">28986566</pub-id>
                    <pub-id pub-id-type="doi">10.1038/S41598-017-13208-3</pub-id>
                    <pub-id pub-id-type="pmcid">PMC5630583</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref19">
                <label>19</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Szylberg</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sokal</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>&#x015a;ledzi&#x0144;ska</surname>
                            <given-names>P</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>MGMT Promoter Methylation as a Prognostic Factor in Primary Glioblastoma: A Single-Institution Observational Study.</article-title>
                    <source>

                        <italic toggle="yes">Biomedicine.</italic>
</source>
                    <year>2022</year>;<volume>10</volume>(<issue>8</issue>):<fpage>2030</fpage>.
                    <pub-id pub-id-type="pmid">36009577</pub-id>
                    <pub-id pub-id-type="doi">10.3390/BIOMEDICINES10082030</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9405779</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref20">
                <label>20</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Saeed</surname>
                            <given-names>N</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ridzuan</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Alasmawi</surname>
                            <given-names>H</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models.</article-title>
                    <source>

                        <italic toggle="yes">Med. Image Anal.</italic>
</source>
                    <year>2023</year>;<volume>90</volume>:<fpage>90</fpage>.
                    <pub-id pub-id-type="pmid">37827111</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.media.2023.102989</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref21">
                <label>21</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Matsusaka</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Funata</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fukayama</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>DNA methylation in gastric cancer, related to Helicobacter pylori and Epstein-Barr virus.</article-title>
                    <source>

                        <italic toggle="yes">World J. Gastroenterol: WJG.</italic>
</source>
                    <year>2014</year>;<volume>20</volume>(<issue>14</issue>):<fpage>3916</fpage>&#x2013;<lpage>3926</lpage>.
                    <pub-id pub-id-type="pmid">24744581</pub-id>
                    <pub-id pub-id-type="doi">10.3748/WJG.V20.I14.3916</pub-id>
                    <pub-id pub-id-type="pmcid">PMC3983447</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref22">
                <label>22</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Singh</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Nema</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Banerjee</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Genetic and epigenetic landscape of O6-methylguanine-DNA methyltransferase (MGMT): implications for DNA repair and cancer therapeutics.</article-title>
                    <source>

                        <italic toggle="yes">Explor. Target Antitumor. Ther.</italic>
</source>
                    <year>2025</year>;<volume>6</volume>:<fpage>1002335</fpage>.
                    <pub-id pub-id-type="pmid">40895460</pub-id>
                    <pub-id pub-id-type="doi">10.37349/ETAT.2025.1002335</pub-id>
                    <pub-id pub-id-type="pmcid">PMC12394067</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref23">
                <label>23</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Chan</surname>
                            <given-names>AOO</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lam</surname>
                            <given-names>SK</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Wong</surname>
                            <given-names>BCY</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Promoter methylation of E-cadherin gene in gastric mucosa associated with Helicobacter pylori infection and in gastric cancer.</article-title>
                    <source>

                        <italic toggle="yes">Gut.</italic>
</source>
                    <year>2003</year>;<volume>52</volume>(<issue>4</issue>):<fpage>502</fpage>&#x2013;<lpage>506</lpage>.
                    <pub-id pub-id-type="pmid">12631658</pub-id>
                    <pub-id pub-id-type="doi">10.1136/GUT.52.4.502</pub-id>
                    <pub-id pub-id-type="pmcid">PMC1773595</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref24">
                <label>24</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Muhammad</surname>
                            <given-names>JS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Eladl</surname>
                            <given-names>MA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Khoder</surname>
                            <given-names>G</given-names>
                        </name>
</person-group>:
                    <article-title>Helicobacter pylori-induced DNA Methylation as an Epigenetic Modulator of Gastric Cancer: Recent Outcomes and Future Direction.</article-title>
                    <source>

                        <italic toggle="yes">Pathogens.</italic>
</source>
                    <year>2019</year>;<volume>8</volume>(<issue>1</issue>):<fpage>23</fpage>.
                    <pub-id pub-id-type="pmid">30781778</pub-id>
                    <pub-id pub-id-type="doi">10.3390/PATHOGENS8010023</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6471032</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <label>25</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ibrahim</surname>
                            <given-names>MI</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Al-Saffar</surname>
                            <given-names>JM</given-names>
                        </name>
</person-group>:
                    <article-title>Interleukin-18 serum level and gene polymorphism in iraqi polycystic ovary syndrome females.</article-title>
                    <source>

                        <italic toggle="yes">J. Pharm. Sci. Res.</italic>
</source>
                    <year>2018</year>. Accessed January 6, 2026.
                    <ext-link ext-link-type="uri" xlink:href="https://www.scopus.com/pages/publications/85063179071?origin=resultslist">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref26">
                <label>26</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Liu</surname>
                            <given-names>Z</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhang</surname>
                            <given-names>D</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chen</surname>
                            <given-names>S</given-names>
                        </name>
</person-group>:
                    <article-title>Unveiling the gastric microbiota: implications for gastric carcinogenesis, immune responses, and clinical prospects.</article-title>
                    <source>

                        <italic toggle="yes">J. Exp. Clin. Cancer Res.</italic>
</source>
                    <year>2024</year>;<volume>43</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>28</lpage>.
                    <pub-id pub-id-type="doi">10.1186/S13046-024-03034-7/FIGURES/4</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref27">
                <label>27</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Mahmood</surname>
                            <given-names>AS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Issa</surname>
                            <given-names>YW</given-names>
                        </name>
</person-group>:
                    <article-title>Impacts of microRNA-155 on the Expression of Interleukin-1&#x03b2; and Tumor Suppressor Gene JADE-1 in Iraqi Women with Cervical Cancer.</article-title>
                    <source>

                        <italic toggle="yes">Al-Rafidain Journal of Medical Sciences.</italic>
</source>
                    <year>2024</year>;<volume>7</volume>(<issue>1(Special)</issue>):<fpage>S24</fpage>&#x2013;<lpage>28</lpage>.
                    <issn>2789-3219</issn>.
                    <pub-id pub-id-type="doi">10.54133/AJMS.V7I1(SPECIAL).869</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref28">
                <label>28</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Sun</surname>
                            <given-names>D</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Gan</surname>
                            <given-names>X</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Liu</surname>
                            <given-names>L</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>DNA hypermethylation modification promotes the development of hepatocellular carcinoma by depressing the tumor suppressor gene ZNF334.</article-title>
                    <source>

                        <italic toggle="yes">Cell Death Dis.</italic>
</source>
                    <year>2022</year>;<volume>13</volume>(<issue>5</issue>):<fpage>1</fpage>&#x2013;<lpage>12</lpage>.
                    <pub-id pub-id-type="doi">10.1038/S41419-022-04895-6;TECHMETA</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref29">
                <label>29</label>
                <mixed-citation publication-type="data">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Nadhir Ahmed</surname>
                            <given-names>RA</given-names>
                        </name>
</person-group>:
                    <data-title>Association of cagA-Positive Helicobacter pylori with MGMT Promoter Hypermethylation Across the Gastric Disease Spectrum and Gastric Cancer.</data-title>[Data set].
                    <source>

                        <italic toggle="yes">Zenodo.</italic>
</source>
                    <year>2025</year>.
                    <pub-id pub-id-type="doi">10.5281/zenodo.18158104</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report461988">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.193131.r461988</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ansari</surname>
                        <given-names>Shamshul</given-names>
                    </name>
                    <xref ref-type="aff" rid="r461988a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1846-1377</uri>
                </contrib>
                <aff id="r461988a1">
                    <label>1</label>Higher Colleges of Technology, Abu Dhabi, Abu Dhabi, United Arab Emirates</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>11</day>
                <month>3</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Ansari S</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport461988" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.175170.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Association of&#x00a0;
                <italic>cagA</italic>-Positive&#x00a0;
                <italic>Helicobacter pylori</italic>&#x00a0;with&#x00a0;
                <italic>MGMT</italic>&#x00a0;Promoter Hypermethylation Across the Gastric Disease Spectrum and Gastric Cancer is a well-written manuscript. However following comments must be addressed.</p>
            <p> Abstract:</p>
            <p> The gene name (cagA) always starts with a smaller c and is italicized.</p>
            <p> Keywords:</p>
            <p> Helicobacter pylori should be italicized.</p>
            <p> cagA should be italicized.</p>
            <p> Introduction:</p>
            <p> CagA should be changed to cagA</p>
            <p> </p>
            <p> Overall:</p>
            <p> Minor corrections regarding English grammar should be done.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Bacterial pathogenicity, Helicobacter pylori, Gastric pathogenicity,</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
