<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2021.737061</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Distinct Impact of TAM Infiltration on the Prognosis of Patients With Cardia and Non-Cardia Gastric Cancer and Its Association With <italic>H. pylori</italic> Infection</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname><given-names>Min</given-names>
</name>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname><given-names>Li</given-names>
</name>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1402883"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname><given-names>Qiuru</given-names>
</name>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname><given-names>Yuejie</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sun</surname><given-names>Qian</given-names>
</name>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/165771"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ren</surname><given-names>Xiubao</given-names>
</name>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/592045"/>
</contrib>
</contrib-group>
<aff id="aff1"><institution>Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin&#x2019;s Clinical Research Center for Cancer</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Yumin Li, Lanzhou University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Karine Damasceno, Gon&#xe7;alo Moniz Institute (IGM), Brazil; Armando Rojas, Catholic University of the Maule, Chile</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Qian Sun, <email xlink:href="mailto:sunqian923@126.com">sunqian923@126.com</email>; Xiubao Ren, <email xlink:href="mailto:renxiubao@tjmuch.com">renxiubao@tjmuch.com</email></p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Gastrointestinal Cancers: Gastric and Esophageal Cancers, a section of the journal Frontiers in Oncology</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>737061</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Liu, Zhang, Zhou, Wang, Sun and Ren</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Liu, Zhang, Zhou, Wang, Sun and Ren</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>In stage III gastric cancer (GC), the role of tumor-associated macrophages (TAMs) and <italic>Helicobacter pylori</italic> (<italic>H. pylori</italic>) infection impact tumor progression; however, the specific mechanisms remain controversial. We speculated whether this controversy is caused by differences in the location of TAM infiltration (in the core (CT) and invasive margin (MI) of primary tumors) and the topographical subsites of GC (cardia and non-cardia). Therefore, in this study, we investigated TAMs in different locations and <italic>H. pylori</italic> infection status as prognostic biomarkers for GC.</p>
</sec>
<sec>
<title>Methods</title>
<p>Immunohistochemical staining for CD68 (pan-macrophage), CD163 (M2-like macrophage), and <italic>H. pylori</italic> in 200 samples (100 cases of cardia-GC [CGC] and 100 cases of non-cardia GC [NCGC]) was performed. We compared the number of CD68<sup>+</sup> and CD163<sup>+</sup> macrophages that infiltrated the CT and MI in patients with the prognosis of CGC and NCGC, respectively. In addition, we analyzed the relationship between <italic>H. pylori</italic> status and the prognosis of patients with GC in different locations, as well as the correlation with TAM infiltration.</p>
</sec>
<sec>
<title>Results</title>
<p>The distribution of TAMs had distinct characteristics in CGC and NCGC, especially differences between CT and MI subtype. A Kaplan&#x2013;Meier analysis showed that a high number of CD68<sup>+</sup> macrophages that infiltrated the CT in CGC was associated with a better prognosis, whereas infiltration at the MI in NCGC indicated a poor prognosis. Furthermore, a high number of CD163<sup>+</sup> macrophages infiltrating the MI resulted in a poor prognosis in CGC and NCGC cohorts. Considering the larger differences in the relationship between the infiltration of CD68<sup>+</sup> macrophages at different locations and prognosis, we divided the GC cases into marginal and central GC, based on this difference. This resulted in an accurate estimation of the prognosis. Moreover, positive <italic>H. pylori</italic> status in central GC was significantly associated with a better prognosis and TAM infiltration.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>TAMs in different locations and <italic>H. pylori</italic> status were identified as independent prognostic markers, with an obvious correlation between them. Therefore, it is important to clarify the impact of TAM location on the prognosis of patients with GC, which contributes to the development of potential therapeutic strategies.</p>
</sec>
</abstract>
<kwd-group>
<kwd>tumor-associated macrophages</kwd>
<kwd><italic>Helicobacter pylori</italic></kwd>
<kwd>cardia gastric cancer</kwd>
<kwd>non-cardia gastric</kwd>
<kwd>location</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="12"/>
<word-count count="5083"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Gastric cancer (GC) is the fifth most common cancer worldwide, with nearly one million new diagnoses every year, and is the third leading cause of cancer-related deaths (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Most patients have the middle- or late-stage disease when diagnosed, and have very short survival and high mortality (<xref ref-type="bibr" rid="B3">3</xref>). Globally, GC is characterized remarkable by two major topographical subsites, cardia (CGC) and non-cardia (NCGC) (<xref ref-type="bibr" rid="B4">4</xref>). CGC and NCGC have different clinical biological characteristics in different geographical, ethnic and socioeconomic groups. Therefore, CGC and NCGC prognoses remain controversial. Some studies have reported that patients with CGC have a worse prognosis, while others have found no significant differences between the two subtypes (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). It is of great importance to study the relationship between the pathogenesis and location of GC, as these factors can contribute to the development of new therapeutic strategies to improve patient prognosis.</p>
<p>Tumor-associated macrophages (TAMs) are macrophages that infiltrate tumor tissues and are among the most abundant immune cells in the tumor microenvironment (TME). Two main functional subtypes of macrophages have been described: M1 and M2. The function of M1-like macrophages include antigen presentation and tumor cell destruction, while M2-like macrophages promote extracellular matrix remodeling and angiogenesis and exhibit immunomodulatory characteristics (<xref ref-type="bibr" rid="B7">7</xref>). The anti-inflammatory characteristics of TAMs are controlled by tumor cells, and this is of great significance in treatment strategies for patients with GC, especially for combination therapies that target cancer cells and macrophages, which can have synergistic effects (<xref ref-type="bibr" rid="B8">8</xref>). Moreover, the efficacy of PD-L1/PD-1 antibodies in GC requires M1-like TAMs because they recruit more infiltrating CXCR3<sup>+</sup>CD8<sup>+</sup> T cells by releasing CXCL9, 10, and 11 (<xref ref-type="bibr" rid="B9">9</xref>). M1-like TAMs not only improve the objective response rates of GC but also increase the application of PD-L1/PD-1 antibodies. This suggests that TAMs play a key role in GC development and provide a good target for anticancer therapy (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Previous studies have shown that high levels of TAM infiltration relate to the aggressive characteristics of GC and are independent poor prognostic factors for patients with GC (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Nevertheless, no prognostic difference was observed between CD68 density and overall survival (OS) in another study (<xref ref-type="bibr" rid="B13">13</xref>) and the M2-like macrophage signature has also been associated with improved survival (<xref ref-type="bibr" rid="B14">14</xref>). This could be because TAMs at different locations within the tumor differentially impact GC progression (<xref ref-type="bibr" rid="B15">15</xref>). Therefore, we speculated that the number and distribution of TAMs are key factors that affect the coevolution of cancer cells and TAMs.</p>
<p>In tumors, TAMs are usually stimulated by environmental factors to differentiate into M2-like macrophages. Due to the scavenging capabilities of M2 cells, the scavenger receptor CD163 has been proposed as a marker for M2-like macrophages. CD68 is considered the gold standard marker for human macrophages (<xref ref-type="bibr" rid="B16">16</xref>). Thus, in this study, we selected CD68 (pan-macrophage marker) and CD163 (M2-like macrophage) labeled TAM to explore the relationship between TAM infiltration at different locations and the prognosis of patient with GC.</p>
<p><italic>Helicobacter pylori</italic> (<italic>H. pylori</italic>) is the most common chronic bacterial infection, affecting approximately 50% of the world&#x2019;s population, and is a major risk factor for the development of GC (<xref ref-type="bibr" rid="B17">17</xref>). It was previously reported that <italic>H. pylori</italic> urease-activated mucosal macrophages can produce proinflammatory cytokines, which result in <italic>H. pylori</italic>-related mucosal inflammation (<xref ref-type="bibr" rid="B18">18</xref>). In mice with colitis-associated cancer, <italic>H. pylori</italic> infection was found to reduce TAM infiltration, especially the infiltration of M2-like TAMs (<xref ref-type="bibr" rid="B19">19</xref>). Che et al. also demonstrated that <italic>H. pylori</italic> infection-induced upregulation of activated mesenchymal&#x2013;epithelial transition factor in exosomes influences the tumor-promoting effect of TAMs (<xref ref-type="bibr" rid="B20">20</xref>). These findings suggest a connection between <italic>H. pylori</italic> and TAMs.</p>
<p>In this study, we explored the relationship between TAM infiltration in different locations and the prognosis of patients with GC, and also whether TAM infiltration associates with <italic>H. pylori</italic> infection. We found that the distribution of TAMs has distinct characteristics in CGCs and NCGCs. In CGC, CD68<sup>+</sup> and CD163<sup>+</sup> macrophages were distributed at the invasive margin (MI) in most samples, while they mainly existed at the core (CT) in the NCGC group. The relationship between TAMs in different locations and the prognosis of patients with GC is conflicting. We thus utilized the difference to distinguish GC into central and marginal GC, to determine the relationship more accurately between macrophages and the prognosis of patients with GC. Moreover, a positive <italic>H. pylori</italic> status in central GC was significantly associated with better prognosis and TAM infiltrations. Taken together, these results suggest that TAMs and <italic>H. pylori</italic> are independent prognostic and predictive biomarkers for GC, and this finding might shed light on a new potential target for immunotherapeutic approaches for treating GC.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Study Subjects</title>
<p>This study retrospectively evaluated 200 stage III GC samples (100 cases of CGC and 100 cases of NCGC) from patients who underwent resection at the Tianjin Medical University Cancer Institute and Hospital between January 2012 and December 2014. None of the patients had received chemotherapy or radiotherapy before surgery. Patients with infectious diseases, autoimmune diseases or multiple primary cancers were excluded. All procedures were approved by the Ethics Committee of the Tianjin Medical University Cancer Institute and Hospital, and informed consent was obtained from all the subjects.</p>
</sec>
<sec id="s2_2">
<title>Immunohistochemistry Staining</title>
<p>Paraffin-embedded slides were dewaxed in xylene and ethanol and steamed in a microwave oven with pH 9.0 ethylenediamine tetraacetic acid or pH 6.0 sodium citrate buffer to retrieve antigen epitopes. Once the samples had cooled, endogenous peroxidase activity was blocked using 3% hydrogen peroxide and the samples were blocked using goat serum. Slides were then incubated at 4&#xb0;C overnight with the following primary antibodies: anti-human CD68 antibody (dilution 1:400, Invitrogen, USA), anti-human CD163 antibody (dilution 1:200, Abcam, Cambridge, UK), and anti-<italic>H. pylori</italic> antibody (dilution 1:10, MXB Biotechnology, China). The next day, a secondary antibody was labeled with streptavidin&#x2013;horseradish peroxidase and was applied to the sample, using a DAB staining kit (MXB Biotechnology).</p>
</sec>
<sec id="s2_3">
<title>Immunohistochemistry Evaluation</title>
<p>The number and distribution of TAMs were evaluated to assess the role of TAMs in GC progression. For each tissue section, eight fields of view (four MI and four CT) were selected randomly for histological evaluation by two&#xa0;pathologists who were blinded to the clinical characteristics of the patients. First, CD68 and CD163 immunohistochemical staining was calculated from the number of positive cells, and the average number was recorded as the number of TAMs. Second, the geographic distributions of TAMs were evaluated to uncover the role of TAMs in different locations. Next, the <italic>H. pylori</italic> status (negative or positive) was evaluated on the antral mucosa and corpora, which were stripped along the lesser curvature side. The degree of <italic>H. pylori</italic> infection was calculated by counting the number of bacteria (<italic>H. pylori</italic>) in each oil immersion field. The two pathologists randomly selected four fields of view to obtain the average value that was used to assess the relationship with the TAMs.</p>
</sec>
<sec id="s2_4">
<title>Statistical Analysis</title>
<p>IBM SPSS Statistics Software, version 20, was used for all statistical analyses. All p-values were two-sided, and the statistical significance cutoff was p &#x2264;0.05. The &#x3c7;<sup>2</sup> test was used to assess the relationship between clinicopathologic features of patients and CD68<sup>+</sup> macrophages, CD163<sup>+</sup> macrophages, and <italic>H. pylori</italic> infection status. Kaplan&#x2013;Meier survival analysis was performed using &#x2018;low&#x2019; or &#x2018;high&#x2019; classifications according to the median number of CD68<sup>+</sup> and CD163<sup>+</sup> macrophages, and <italic>H. pylori</italic> status was based on the presence or absence of infection. Cox regression proportional hazard models were used to quantify hazard ratios for death from GC in both univariate and multivariate analyses. The models were adjusted for macrophages, <italic>H. pylori</italic>, age, sex, body mass index, carcinoembryonic antigen, tumor location, tumor size, and lymph node metastasis. The correlation between the number of TAMs and the degree of <italic>H. pylori</italic> infection was estimated using Spearman&#x2019;s correlation analysis.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Distinct Distribution of Macrophages in CGC and NCGC</title>
<p>A total of 200 patients with GC participated in this study, and their clinicopathological characteristics are shown in <xref ref-type="table" rid="T1"><bold>Table 1</bold></xref>. The median OS and disease-free survival (DFS) of the patients were 47.5 and 33 months, respectively and the average age was 59.8 years (range, 30&#x2013;83 years). TAMs were widely distributed in the tumor tissues of patients with GC, and it was clearly observed that their distribution had distinct characteristics in CGC and NCGC cohorts, especially with respect to differences between CT and MI regions. In CGC, the number of CD68<sup>+</sup> and CD163<sup>+</sup> macrophages at the MI in most samples was significantly higher than that in the CT (<xref ref-type="fig" rid="f1"><bold>Figures 1A, B</bold></xref>). In contrast, their number was markedly higher at the CT of the NCGC cohort than that at the MI (<xref ref-type="fig" rid="f1"><bold>Figures 1A, C</bold></xref>). In other words, CD68<sup>+</sup> and CD163<sup>+</sup> macrophages in CGC were primarily distributed at the MI, while they mainly existed at the CT in the NCGC. These findings suggest CD68<sup>+</sup> and CD163<sup>+</sup> macrophages distributions may play an important role in determining the prognosis of patients with GC subtypes.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Correlation analysis between macrophages, Hp infection and clinicopathologic features of the patients with gastric cancer.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variables&#xa0;</th>
<th valign="top" rowspan="2" align="center">All cases&#xa0;</th>
<th valign="top" colspan="2" align="center">CD68<sup>+</sup> macrophages (CT)</th>
<th valign="top" align="center">P value</th>
<th valign="top" colspan="2" align="center">&#xa0;CD68<sup>+</sup> macrophages (MI)</th>
<th valign="top" align="center">P value</th>
<th valign="top" colspan="2" align="center">&#xa0;CD163<sup>+</sup> macrophages (CT)</th>
<th valign="top" align="center">P value</th>
<th valign="top" colspan="2" align="center">&#xa0;CD163<sup>+</sup> macrophages (MI)</th>
<th valign="top" align="center">P value</th>
<th valign="top" colspan="2" align="center">Hp&#xa0;</th>
<th valign="top" align="center">P value</th>
</tr>
<tr>
<th valign="top" align="left">Low</th>
<th valign="top" align="center">High</th>
<th valign="top" align="center">&#xa0;</th>
<th valign="top" align="center">Low</th>
<th valign="top" align="center">High</th>
<th valign="top" align="center">&#xa0;</th>
<th valign="top" align="center">Low</th>
<th valign="top" align="center">High</th>
<th valign="top" align="center">&#xa0;</th>
<th valign="top" align="center">Low</th>
<th valign="top" align="center">High</th>
<th valign="top" align="left"/>
<th valign="top" align="center">Low</th>
<th valign="top" align="center">High</th>
<th valign="top" align="center">&#xa0;</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&lt;50 y</td>
<td valign="top" align="center">38</td>
<td valign="top" align="left"/>
<td valign="top" align="center">23 (60.5%)</td>
<td valign="top" align="center">0.108</td>
<td valign="top" align="center">17 (44.7%)</td>
<td valign="top" align="center">21 (55.3%)</td>
<td valign="top" align="center">0.474</td>
<td valign="top" align="center">16 (42.1%)</td>
<td valign="top" align="center">22 (57.9%)</td>
<td valign="top" align="center">0.151</td>
<td valign="top" align="center">15 (39.5%)</td>
<td valign="top" align="center">23 (60.5%)</td>
<td valign="top" align="center">0.207</td>
<td valign="top" align="center">9 (23.7%)</td>
<td valign="top" align="center">29 (76.3%)</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;50 y</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">88 (54.3%)</td>
<td valign="top" align="center">74 (45.7%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">84 (51.9%)</td>
<td valign="top" align="center">78 (48.1%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">90 (55.6%)</td>
<td valign="top" align="center">72 (44.4%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">85 (52.5%)</td>
<td valign="top" align="center">77 (47.5%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">40 (24.7%)</td>
<td valign="top" align="center">122 (75.3%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">27 (52.9%)</td>
<td valign="top" align="center">24 (47.1%)</td>
<td valign="top" align="center">0.872</td>
<td valign="top" align="center">25 (49.0%)</td>
<td valign="top" align="center">26 (51.0%)</td>
<td valign="top" align="center">0.872</td>
<td valign="top" align="center">24 (47.1%)</td>
<td valign="top" align="center">27 (52.9%)</td>
<td valign="top" align="center">0.335</td>
<td valign="top" align="center">28 (54.9%)</td>
<td valign="top" align="center">23 (45.1%)</td>
<td valign="top" align="center">0.517</td>
<td valign="top" align="center">13 (25.5%)</td>
<td valign="top" align="center">38 (74.5%)</td>
<td valign="top" align="center">0.852</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">149</td>
<td valign="top" align="center">76 (51.0%)</td>
<td valign="top" align="center">73 (49.0%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">76 (51.0%)</td>
<td valign="top" align="center">73 (49.0%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">82 (55.0%)</td>
<td valign="top" align="center">67 (45.0%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">72 (48.3%)</td>
<td valign="top" align="center">77 (51.7%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">36 (24.2%)</td>
<td valign="top" align="center">113 (75.8%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m2)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Low</td>
<td valign="top" align="center">114</td>
<td valign="top" align="center">56 (49.1%)</td>
<td valign="top" align="center">58 (50.9%)</td>
<td valign="top" align="center">0.477</td>
<td valign="top" align="center">57 (50.0%)</td>
<td valign="top" align="center">57 (50.0%)</td>
<td valign="top" align="center">0.887</td>
<td valign="top" align="center">62 (54.4%)</td>
<td valign="top" align="center">52 (45.6%)</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">53 (46.5%)</td>
<td valign="top" align="center">61 (53.5%)</td>
<td valign="top" align="center">0.317</td>
<td valign="top" align="center">25 (21.9%)</td>
<td valign="top" align="center">89 (78.1%)</td>
<td valign="top" align="center">0.407</td>
</tr>
<tr>
<td valign="top" align="left">High</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">47 (54.7%)</td>
<td valign="top" align="center">39 (45.3%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">44 (51.2%)</td>
<td valign="top" align="center">42 (48.8%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">44 (51.2%)</td>
<td valign="top" align="center">42 (48.8%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">47 (54.7%)</td>
<td valign="top" align="center">39 (45.3%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">24 (27.9%)</td>
<td valign="top" align="center">62 (72.1%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">CEA</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&lt;5 &#xb5;g/L</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">28 (50.0%)</td>
<td valign="top" align="center">28 (50.0%)</td>
<td valign="top" align="center">0.875</td>
<td valign="top" align="center">25 (44.6%)</td>
<td valign="top" align="center">31 (55.4%)</td>
<td valign="top" align="center">0.346</td>
<td valign="top" align="center">28 (50.0%)</td>
<td valign="top" align="center">28 (50.0%)</td>
<td valign="top" align="center">0.638</td>
<td valign="top" align="center">26 (46.4%)</td>
<td valign="top" align="center">30 (53.6%)</td>
<td valign="top" align="center">0.637</td>
<td valign="top" align="center">14 (25.0%)</td>
<td valign="top" align="center">42 (75.0%)</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;5 &#xb5;g/L</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">75 (52.1%)</td>
<td valign="top" align="center">69 (47.9%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">76 (52.8%)</td>
<td valign="top" align="center">68 (47.2%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">78 (54.2%)</td>
<td valign="top" align="center">66 (45.8%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">74 (51.4%)</td>
<td valign="top" align="center">70 (48.6%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">35 (24.3%)</td>
<td valign="top" align="center">109 (75.7%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Tumor location</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Cardia</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">52 (52.0%)</td>
<td valign="top" align="center">48 (48.0%)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">51 (51.0%)</td>
<td valign="top" align="center">49 (49.0%)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">55 (55.0%)</td>
<td valign="top" align="center">45 (45.0%)</td>
<td valign="top" align="center">0.671</td>
<td valign="top" align="center">50 (50.0%)</td>
<td valign="top" align="center">50 (50.0%)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">34 (34.0%)</td>
<td valign="top" align="center">66 (66.0%)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">Non-cardia</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">51 (51.0%)</td>
<td valign="top" align="center">49 (49.0%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">50 (50.0%)</td>
<td valign="top" align="center">50 (50.0%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">51 (51.0%)</td>
<td valign="top" align="center">49 (49.0%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">15 (15.0%)</td>
<td valign="top" align="center">85 (85.0%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Tumor size</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">52 (54.7%)</td>
<td valign="top" align="center">43 (45.3%)</td>
<td valign="top" align="center">0.257</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&lt;4 cm</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">38 (40.0%)</td>
<td valign="top" align="center">57 (60.0%)</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">58 (61.1%)</td>
<td valign="top" align="center">37 (38.9%)</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">46 (48.4%)</td>
<td valign="top" align="center">49 (51.6%)</td>
<td valign="top" align="center">0.257</td>
<td valign="top" align="center">48 (45.7%)</td>
<td valign="top" align="center">57 (54.3%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">21 (22.1%)</td>
<td valign="top" align="center">74 (77.9%)</td>
<td valign="top" align="center">0.512</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;4 cm</td>
<td valign="top" align="center">105</td>
<td valign="top" align="center">65 (61.9%)</td>
<td valign="top" align="center">40 (38.1%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">43 (41.0%)</td>
<td valign="top" align="center">62 (59.0%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">60 (57.1%)</td>
<td valign="top" align="center">45 (42.9%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">28 (26.7%)</td>
<td valign="top" align="center">77 (73.3%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">LN metastasis</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">4 (66.7%)</td>
<td valign="top" align="center">2 (33.3%)</td>
<td valign="top" align="center">0.683</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2 (33.3%)</td>
<td valign="top" align="center">4 (66.7%)</td>
<td valign="top" align="center">0.434</td>
<td valign="top" align="center">3 (50.0%)</td>
<td valign="top" align="center">3 (50.0%)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5 (83.3%)</td>
<td valign="top" align="center">1 (16.7%)</td>
<td valign="top" align="center">0.217</td>
<td valign="top" align="center">96 (49.5%)</td>
<td valign="top" align="center">98 (50.5%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">6 (100.0%)</td>
<td valign="top" align="center">0.339</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">194</td>
<td valign="top" align="center">101 (52.1%)</td>
<td valign="top" align="center">93 (47.9%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">98 (50.5%)</td>
<td valign="top" align="center">96 (49.5%)</td>
<td valign="top" align="left"/>
<td valign="top" align="center">101 (52.1%)</td>
<td valign="top" align="center">93 (47.9%)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">49 (25.3%)</td>
<td valign="top" align="center">145 (74.7%)</td>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f1" position="float">
<label>Figure 1</label>
<caption>
<p>Distinct distribution of macrophages in CGC and NCGC. <bold>(A)</bold> The proportion of the distribution type of CD68<sup>+</sup> or CD163<sup>+</sup> macrophages in cardia and non-cardia tumor tissue samples, respectively. Representative picture of immunohistochemical staining of CD68<sup>+</sup> or CD163<sup>+</sup> macrophages in cardia <bold>(B)</bold> and non-cardia <bold>(C)</bold> gastric cancer tissues. CT, core of primary tumors; MI, invasive margin of primary tumors.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-737061-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>High Levels of CD68<sup>+</sup> Macrophage Infiltration in the CT Associate With a Better Prognosis in CGC, Whereas Infiltration at the MI Indicates a Poor Prognosis in NCGC</title>
<p>To determine the effects of the distribution of TAMs on GC, we first assessed the role of CD68<sup>+</sup> macrophages on CT and MI in patients with CGC and NCGC. We found that higher CD68<sup>+</sup> macrophage infiltration at the CT associated with better OS and DFS in CGCs (<xref ref-type="fig" rid="f2"><bold>Figures 2A, B</bold></xref>). However, CD68<sup>+</sup> macrophage infiltration at the MI did not correlate with OS or DFS in CGCs (<xref ref-type="fig" rid="f2"><bold>Figures 2C, D</bold></xref>). Furthermore, in the NCGC cohort, a higher CD68<sup>+</sup> macrophage infiltration at the CT did not correlate with OS or DFS (<xref ref-type="fig" rid="f2"><bold>Figures 2E, F</bold></xref>). Interestingly, higher CD68<sup>+</sup> macrophage infiltration at the MI closely correlated with poor OS and DFS in NCGCs (<xref ref-type="fig" rid="f2"><bold>Figures 2G, H</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure 2</label>
<caption>
<p>The relationship between CD68<sup>+</sup> macrophages in different locations and prognosis and clinicopathological features of patients with CGC and NCGC. <bold>(A, B)</bold> A higher number of CD68<sup>+</sup> macrophages at the CT was associated with better OS and DFS in CGC. <bold>(C, D)</bold>. A higher number of CD68<sup>+</sup> macrophages at MI not correlated with OS or DFS in CGC. <bold>(E, F)</bold> A higher number of CD68<sup>+</sup> macrophages at the CT was not correlated with OS or DFS in NCGC. <bold>(G, H)</bold> A higher number of CD68<sup>+</sup> macrophages at the MI was closely correlated with poor OS and DFS in NCGC. CT, core of primary tumors; MI, invasive margin of primary tumors.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-737061-g002.tif"/>
</fig>
<p>Next, we analyzed the relationship between the number of CD68<sup>+</sup> macrophages and clinicopathological features. As shown in <xref ref-type="table" rid="T1"><bold>Table 1</bold></xref>, no association was observed between the number of CD68<sup>+</sup> macrophages that infiltrated the CT and MI regions and the clinicopathological features of patients, including age, sex, body mass index, carcinoembryonic antigen, tumor location, and lymph node metastasis, with the exception of tumor size. These results indicate that the higher the level of CD68<sup>+</sup> macrophage infiltration at the CT in CGC, the better the prognosis of the patients. Conversely, the higher the level of CD68<sup>+</sup> macrophage infiltration at the MI in NCGC, the worse the prognosis of the patients.</p>
</sec>
<sec id="s3_3">
<title>High Levels of CD163<sup>+</sup> Macrophage Infiltration at the MI correlate With a Poor Prognosis of Patients With CGC and NCGC</title>
<p>Similarly, we evaluated the relationship between CD163<sup>+</sup> macrophages infiltration at the CT and MI regions and the prognosis of patients with CGC or NCGC. The results showed that higher CD163<sup>+</sup> macrophage infiltration at the CT did not correlate with OS and DFS in CGC (<xref ref-type="fig" rid="f3"><bold>Figures 3A, B</bold></xref>) or NCGC (<xref ref-type="fig" rid="f3"><bold>Figures 3C, D</bold></xref>). This differed from the impact of CD163<sup>+</sup> macrophage infiltration at the MI. A higher CD163<sup>+</sup> macrophage infiltration at the MI in patients with CGC associated with poor OS and DFS (<xref ref-type="fig" rid="f3"><bold>Figures 3E, F</bold></xref>). Furthermore, a higher CD163<sup>+</sup> macrophage infiltration at the MI also closely correlated with poor OS in NCGCs (<xref ref-type="fig" rid="f3"><bold>Figure 3G</bold></xref>), but not with DFS (<xref ref-type="fig" rid="f3"><bold>Figure 3H</bold></xref>). In addition, the number of CD163<sup>+</sup> macrophages that infiltrated the CT and MI did not associate with the clinicopathological features of patients with GC (<xref ref-type="table" rid="T1"><bold>Table 1</bold></xref>). In summary, a higher CD163<sup>+</sup> macrophage infiltration at the MI in patients associated with a poor prognosis for CGC and NCGC.</p>
<fig id="f3" position="float">
<label>Figure 3</label>
<caption>
<p>The relationship between CD163<sup>+</sup> macrophages in different locations and prognosis and clinicopathological features of patients with CGC and NCGC. A higher number of CD163<sup>+</sup> macrophages at the CT was not correlated with OS or DFS in CGC <bold>(A, B)</bold> or NCGC <bold>(C, D)</bold>. <bold>(E, F)</bold> A higher number of CD163<sup>+</sup> macrophages at the MI was associated with poor OS and DFS in CGC. <bold>(G, H)</bold> A higher number of CD163<sup>+</sup> macrophages at the MI was closely correlated with poor OS in NCGC, while DFS was not. CT, core of primary tumors; MI, invasive margin of primary tumors.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-737061-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Patients With Central GC Have Better OS and DFS</title>
<p>Considering the large differences in the relationship between the infiltration of CD68<sup>+</sup> macrophages at different locations and prognosis, we used these differences as the basis for a classification system to estimate the prognosis of patients more accurately with GC. If the number of CD68<sup>+</sup> macrophages that infiltrated the MI was greater than that at the CT, the sample was defined as &#x201c;marginal GC&#x201d;; otherwise, it was defined as &#x201c;central GC&#x201d;. We found that, compared with the prognosis of patients with marginal GC, patients with central GC had a better OS (<xref ref-type="fig" rid="f4"><bold>Figure 4A</bold></xref>) and DFS (<xref ref-type="fig" rid="f4"><bold>Figure 4B</bold></xref>). That is, patients with more CD68<sup>+</sup> macrophages infiltration at the CT had a better prognosis in the central GC cohort.</p>
<fig id="f4" position="float">
<label>Figure 4</label>
<caption>
<p>Patients with central GC have better OS and DFS. <bold>(A, B)</bold> Kaplan&#x2013;Meier analysis graph showing that patients with marginal GC had poor OS and DFS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-737061-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Positive <italic>H. pylori</italic> Status in Central GC Significantly Associates With Better Prognosis and TAM Infiltration</title>
<p><italic>H. pylori</italic> infection has been reported to play a key role in GC (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>) and has been found to relate to macrophage infiltration in a mouse model (<xref ref-type="bibr" rid="B19">19</xref>). Therefore, we hypothesized that the infiltration of TAMs in cancer may be related to <italic>H. pylori</italic> infection. We first evaluated the status of <italic>H. pylori</italic> infection in GC patients using immunochemistry (<xref ref-type="fig" rid="f5"><bold>Figure 5A</bold></xref>). We next analyzed the relationship between <italic>H. pylori</italic> infection status and the clinicopathological features of patients with GC. We found that <italic>H. pylori</italic> infection status related to tumor location, but not tumor size, age, sex, body mass index, carcinoembryonic antigen, or lymph node metastasis (<xref ref-type="table" rid="T1"><bold>Table 1</bold></xref>). Further survival analysis showed that a positive <italic>H. pylori</italic> status in the central GC group was significantly associated with better OS and DFS (<xref ref-type="fig" rid="f5"><bold>Figures 5B, C</bold></xref>). However, there was no correlation with marginal GC (<xref ref-type="fig" rid="f5"><bold>Figures 5D, E</bold></xref>). Moreover, we detected a correlation between macrophages at different locations and the degree of <italic>H. pylori</italic> infection. As expected, the degree of <italic>H. pylori</italic> infection positively correlated with the infiltration of CD68<sup>+</sup> and CD163<sup>+</sup> macrophages in the CT region (<xref ref-type="fig" rid="f5"><bold>Figures 5F, G</bold></xref>), whereas <italic>H. pylori</italic> infection negatively correlated with the infiltration of CD68<sup>+</sup> and CD163<sup>+</sup> macrophages at the MI (<xref ref-type="fig" rid="f5"><bold>Figures 5H, I</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure 5</label>
<caption>
<p>Positive <italic>H. pylori</italic> status in central GC was significantly associated with better prognosis and TAM infiltration. <bold>(A)</bold> Representative picture of immunohistochemical staining of <italic>Helicobacter pylori</italic>. <bold>(B, C)</bold> Positive <italic>H. pylori</italic> status was significantly associated with better OS and DFS in central GC and was not associated with better OS and DFS in marginal GC <bold>(D, E)</bold>. <bold>(F&#x2013;I)</bold> The correlation between the TAMs in different locations and <italic>H. pylori</italic>. CT, core of primary tumors; MI, invasive margin of primary tumors.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-737061-g005.tif"/>
</fig>
<p>Finally, we constructed Cox proportional hazards models between clinical outcomes and survival in patients with GC. The univariable analysis revealed that the level of macrophages in different locations and tumor size related to the prognosis of patients with GC (<xref ref-type="table" rid="T2"><bold>Table 2</bold></xref>). Further analysis of multivariable Cox regression showed that CD163<sup>+</sup> macrophage infiltration at the MI and tumor size were independent high-risk factors, whereas CD68<sup>+</sup> macrophage infiltration at the CT and <italic>H. pylori</italic> positivity had a protective effect (<xref ref-type="table" rid="T2"><bold>Table 2</bold></xref>). Hence, the above data indicate that TAMs in different locations and <italic>H. pylori</italic> infection were independent prognostic markers, and with an obvious correlation between them.</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>Cox proportional hazards models between clinical and survival in patients with gastric cancer.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variables</th>
<th valign="top" colspan="2" align="center">Univariable</th>
<th valign="top" colspan="2" align="center">Multivariable</th>
</tr>
<tr>
<th valign="top" align="left">HR(95% CI)</th>
<th valign="top" align="center">P value</th>
<th valign="top" align="center">HR(95% CI)</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CD68<sup>+</sup> macrophages (CT)</td>
<td valign="top" align="center">0.399 (0.274&#x2014;0.581)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.364 (0.232&#x2014;0.570)</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">CD68<sup>+</sup> macrophages (MI)</td>
<td valign="top" align="center">1.691 (1.171&#x2014;2.441)</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">CD163<sup>+</sup> macrophages (CT)</td>
<td valign="top" align="center">0.690 (0.479&#x2014;0.994)</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">CD163<sup>+</sup> macrophages (MI)</td>
<td valign="top" align="center">2.459 (1.684&#x2014;3.589)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">2.644 (1.676&#x2014;4.174)</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Hp (Positive vs. Negative)</td>
<td valign="top" align="center">0.541 (0.365&#x2014;0.801)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.589 (0.387&#x2014;0.896)</td>
<td valign="top" align="center">0.013</td>
</tr>
<tr>
<td valign="top" align="left">Age (&#x2265;50y vs. &lt;50y)</td>
<td valign="top" align="center">1.206 (0.752&#x2014;1.932)</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Sex (Male vs. Female)</td>
<td valign="top" align="center">1.058 (0.699&#x2014;1.602)</td>
<td valign="top" align="center">0.789</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Body mass index (High vs. Low)</td>
<td valign="top" align="center">0.952 (0.661&#x2014;1.372)</td>
<td valign="top" align="center">0.792</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">CEA (&#x2265;5 &#xb5;g/L vs. &lt;5 &#xb5;g/L)</td>
<td valign="top" align="center">1.047 (0.698&#x2014;1.572)</td>
<td valign="top" align="center">0.823</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Tumor location (Non-cardia vs. Cardia)</td>
<td valign="top" align="center">1.410 (0.981&#x2014;2.026)</td>
<td valign="top" align="center">0.063</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Tumor size (&#x2265;4 cm vs. &lt;4&#xa0;cm)</td>
<td valign="top" align="center">2.361 (1.615&#x2014;3.451)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">2.047 (1.383&#x2014;3.031)</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">LN metastasis (Yes vs. No)</td>
<td valign="top" align="center">5.260 (0.735&#x2014;37.670)</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>GC, currently ranked fourth in global cancer-related mortality worldwide, is often diagnosed when it reaches an advanced stage after distant metastasis (<xref ref-type="bibr" rid="B23">23</xref>). The importance of TAMs in the development of GC is gaining an increasing interest (<xref ref-type="bibr" rid="B24">24</xref>). However, the precise role of TAMs in GC remains unknown and even somewhat contradictory. Here, we revealed a clear effect of different TAM infiltration phenotypes at the CT and MI on GC with topographical subsites. We found a discrepancy in the relationship between TAMs at different locations and the prognosis of patients with GC. Most importantly, positive <italic>H. pylori</italic> infection in central GC was significantly associated with better prognosis and TAM infiltrations. These findings contribute to a more complete understanding of the correlation between TAMs and the prognosis of patients with GC and have important implications for clarifying their potential role as therapeutic targets.</p>
<p>The densities and prognostic effects of tumor-infiltrating lymphocytes differ in relation to tumor locations within the stomach (<xref ref-type="bibr" rid="B25">25</xref>). There are also contrasting prognostic effects of the Foxp3/CD4 ratio in CGC and NCGC (<xref ref-type="bibr" rid="B25">25</xref>), which suggests that location may be an important factor for tumor progression. It is possible that neglecting the location during risk assessment could account for the differential findings in previous studies (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Indeed, accumulating evidence has demonstrated distinct molecular and pathophysiological mechanisms of carcinogenesis in CGC and NCGC (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Different staging systems have also been used to assess CGC and NCGC (<xref ref-type="bibr" rid="B30">30</xref>). Moreover, significant advances have been made in studies of the impact of TAMs on clinical outcomes, and the clinical significance of TAMs can be affected by their number, phenotypes, and distributions at each pathological stage. Therefore, we sought to determine the impact of different macrophages infiltration phenotypes at the CT or MI on the prognosis of patients with CGC or NCGC.</p>
<p>Our findings revealed the distinct TAMs distribution characteristics in CGCs and NCGCs. In most samples of CGC, CD68<sup>+</sup> and CD163<sup>+</sup> macrophages were distributed at the MI, whereas they mainly existed at the CT in the NCGC samples. The Kaplan&#x2013;Meier analysis showed that a high number of CD68<sup>+</sup> macrophages at the CT in CGCs was associated with a better prognosis. Conversely, a high number of CD68<sup>+</sup> macrophages at the MI in NCGCs was associated with a poor prognosis. These data indicate the differential effects of CD68<sup>+</sup> macrophage infiltration at different sites on the prognosis of GC. This may also partly explain why certain prior studies have shown that a high density of CD68<sup>+</sup> TAMs predicts a poor prognosis in GC (<xref ref-type="bibr" rid="B31">31</xref>), while other studies have demonstrated no prognostic difference of CD68 density on OS (<xref ref-type="bibr" rid="B13">13</xref>). TAMs at different sites in GC tissue might represent a distinct significance and prognostic value (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>In addition, the specific localization of TAMs is affected by the environment at different areas in the tumor tissue, and TAM functions have been inconsistent, such as in the presence of hypoxia (<xref ref-type="bibr" rid="B33">33</xref>). In breast cancer, tumor nest-associated macrophages have been found to promote angiogenesis to a greater extent than macrophages in the tumor stroma (<xref ref-type="bibr" rid="B34">34</xref>). Similarly, our results found that tumor nest-associated CD68<sup>+</sup> macrophages and tumor stroma-associated CD68<sup>+</sup> macrophages have different prognostic values for patients with GC, which suggests that macrophages infiltration at the CT or MI have different TME roles. For another, CD68<sup>+</sup> macrophages at the CT or MI whether have more complex phenotypes. The M1/M2 paradigm represents two extreme TAM activation states, which may neglect that the flexible, rather than static, adaptation driven by environmental signals in the TME. To distinguish the unique role of TAMs under various conditions, it is urgent to redefine TAM subsets and their function in TMEs. A better understanding of how TAM subsets are affected by conditions in specific regions will certainly benefit the related treatments.</p>
<p><italic>H. pylori</italic> infection greatly promotes the carcinogenic effects of GC. Interestingly, many studies have reported that a positive <italic>H. pylori</italic> infection status predicts the survival of patients with GC, with a favorable effect. A prospective study showed that patients with GC with <italic>H. pylori</italic> infections had better OS and DFS after radical resection (<xref ref-type="bibr" rid="B35">35</xref>). A meta-analysis (<xref ref-type="bibr" rid="B36">36</xref>) of 2,454 patients also showed that <italic>H. pylori</italic> infection is an independent protective factor for GC progression, and this protective effect applies to different ethnicities (<xref ref-type="bibr" rid="B36">36</xref>). These findings are also consistent with our results, which show that positive <italic>H. pylori</italic> status in central GC was significantly associated with better prognosis. However, further experiments are required to verify this mechanism (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>The suppressive effect of <italic>H. pylori</italic> on GC progression may be due to the induction of an improved immune response against the tumor (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B38">38</xref>). It has been suggested that <italic>H. pylori</italic> components simulate surface molecules or specific receptors on gastric epithelial cells, and autoantibodies can induce a cross-reaction against GC cells (<xref ref-type="bibr" rid="B39">39</xref>). Another possible explanation is that the true prognostic significance of <italic>H. pylori</italic> status may be suspected, as a negative <italic>H. pylori</italic> infection status may only represent a more advanced tumor status. Hobsley et al. (<xref ref-type="bibr" rid="B39">39</xref>) proposed that with GC progression, most or all parietal cells become destroyed in advanced GC, which results in the stomach becoming alkaline and negative for <italic>H. pylori</italic> infection, while <italic>H. pylori</italic> is positive in patients with early and milder GC. Nevertheless, in our study, we selected patients with stage III advanced GC, and the <italic>H. pylori</italic> infection positivity rate was 67.6%, which is relatively high. Our results also showed that <italic>H. pylori</italic> infection is closely related to macrophages infiltration. Considering previous reports and our current research, we are more inclined to hypothesize that <italic>H. pylori</italic> status has strong prognostic significance. Since <italic>H. pylori</italic> in the stomach can continuously release bacterial components into the gastrointestinal tract, <italic>H. pylori</italic> components in the cavity may interact with immune cells (<xref ref-type="bibr" rid="B40">40</xref>). Indeed, a number of studies have demonstrated the effect of <italic>H. pylori</italic> infection on macrophages polarization through <italic>in vivo</italic> and <italic>in vitro</italic> experiments. <italic>H. pylori</italic> not only prevents chronic colitis by promoting M2 polarization (<xref ref-type="bibr" rid="B41">41</xref>), but also promotes M1 polarization of human and mouse gastric macrophages, resulting in the occurrence of <italic>H. pylori</italic>-related atrophic gastritis (<xref ref-type="bibr" rid="B42">42</xref>). In addition, Lu et al. (<xref ref-type="bibr" rid="B43">43</xref>) confirmed that a low <italic>H. pylori</italic> multiplicity of infection (MOI) of promotes the M1 and M2 phenotypes, while a high MOI suppresses the M2 phenotype. Intriguingly, our current research focuses on a novel perspective that the degree of <italic>H. pylori</italic> infection relates to the CD68<sup>+</sup> and CD163<sup>+</sup> macrophage infiltration at different locations in GC tissue. However, the mechanism underlying this effect remains to be elucidated. Towards better understanding the underlying mechanism, and verifying the influence of <italic>H. pylori</italic> infection on the number, location, and polarization of tumor tissue infiltrating macrophages, an animal model of GC has been established. Furthermore, <italic>in vitro</italic> experiments are underway to determine whether <italic>H. pylori</italic> is itself a key factor. We hope that our future research will address these outstanding questions.</p>
<p>In summary, our research differs from prior studies in that it focuses on the role of <italic>H. pylori</italic> and TAM infiltration on GC&#xa0;according to the topographic locations of tumors within the stomach. Our results suggest a new classification method based on CD68<sup>+</sup> macrophage infiltration at the CT to evaluate the prognosis of patients more accurately with GC. We found that CD68<sup>+</sup> macrophage infiltration in the CT and a positive <italic>H. pylori</italic> status were independent protective factors in central GC. These findings indicate that tumor location along with the location of infiltrating cells within the stomach should be considered when evaluating individualized patient prognosis. Furthermore, elucidating the detailed connection between <italic>H. pylori</italic> and TAMs will facilitate the development of new therapeutic strategies.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of Tianjin Medical University Cancer Institute and Hospital. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>QS and XR conceived and designed the experiments. ML, LZ, QZ, and YW performed the experiments. XR provided some suggestions. Data analysis was performed by YW and ML. Writing, reviewing, and manuscript editing was done by ML, QS, and XR. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grants from the National Key R&amp;D Program of China (2018YFC1313400), the National Natural Science Foundation of China (81974416, 81872166, U20A20375 and 81802873), the Tianjin Natural Science Foundation (19JCYBJC27600 and 18JCQNJC81300), and the Scientific Research Program of Tianjin Education Commission (2019KJ185).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ferlay</surname> <given-names>J</given-names>
</name>
<name>
<surname>Soerjomataram</surname> <given-names>I</given-names>
</name>
<name>
<surname>Dikshit</surname> <given-names>R</given-names>
</name>
<name>
<surname>Eser</surname> <given-names>S</given-names>
</name>
<name>
<surname>Mathers</surname> <given-names>C</given-names>
</name>
<name>
<surname>Rebelo</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Cancer Incidence and Mortality Worldwide: Sources, Methods and Major Patterns in GLOBOCAN 2012</article-title>. <source>Int J Cancer</source> (<year>2015</year>) <volume>136</volume>:<page-range>E359&#x2013;386</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ijc.29210</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Smyth</surname> <given-names>EC</given-names>
</name>
<name>
<surname>Nilsson</surname> <given-names>M</given-names>
</name>
<name>
<surname>Grabsch</surname> <given-names>HI</given-names>
</name>
<name>
<surname>van Grieken</surname> <given-names>NC</given-names>
</name>
<name>
<surname>Lordick</surname> <given-names>F</given-names>
</name>
</person-group>. <article-title>Gastric Cancer</article-title>. <source>Lancet</source> (<year>2020</year>) <volume>396</volume>:<page-range>635&#x2013;48</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(20)31288-5</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fujitani</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>HK</given-names>
</name>
<name>
<surname>Mizusawa</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>YW</given-names>
</name>
<name>
<surname>Terashima</surname> <given-names>M</given-names>
</name>
<name>
<surname>Han</surname> <given-names>SU</given-names>
</name>
<etal/>
</person-group>. <article-title>Gastrectomy Plus Chemotherapy Versus Chemotherapy Alone for Advanced Gastric Cancer With a Single Non-Curable Factor (REGATTA): A Phase 3, Randomised Controlled Trial</article-title>. <source>Lancet Oncol</source> (<year>2016</year>) <volume>17</volume>:<page-range>309&#x2013;18</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(15)00553-7</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Colquhoun</surname> <given-names>A</given-names>
</name>
<name>
<surname>Arnold</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ferlay</surname> <given-names>J</given-names>
</name>
<name>
<surname>Goodman</surname> <given-names>KJ</given-names>
</name>
<name>
<surname>Forman</surname> <given-names>D</given-names>
</name>
<name>
<surname>Soerjomataram</surname> <given-names>I</given-names>
</name>
</person-group>. <article-title>Global Patterns of Cardia and Non-Cardia Gastric Cancer Incidence in 2012</article-title>. <source>Gut</source> (<year>2015</year>) <volume>64</volume>:<page-range>1881&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/gutjnl-2014-308915</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>B</given-names>
</name>
<etal/>
</person-group>. <article-title>Comparison on Clinicopathological Features and Prognosis Between Esophagogastric Junctional Adenocarcinoma (Siewert II/III Types) and Distal Gastric Adenocarcinoma: Retrospective Cohort Study, a Single Institution, High Volume Experience in China</article-title>. <source>Med (Baltimore)</source> (<year>2015</year>) <volume>94</volume>:<elocation-id>e1386</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/MD.0000000000001386</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>F</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C</given-names>
</name>
<name>
<surname>Yao</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Xue</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Clinicopathologic Characteristics and Prognosis of Proximal and Distal Gastric Cancer</article-title>. <source>Onco Targets Ther</source> (<year>2018</year>) <volume>11</volume>:<page-range>1037&#x2013;44</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/OTT.S157378</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Larionova</surname> <given-names>I</given-names>
</name>
<name>
<surname>Tuguzbaeva</surname> <given-names>G</given-names>
</name>
<name>
<surname>Ponomaryova</surname> <given-names>A</given-names>
</name>
<name>
<surname>Stakheyeva</surname> <given-names>M</given-names>
</name>
<name>
<surname>Cherdyntseva</surname> <given-names>N</given-names>
</name>
<name>
<surname>Pavlov</surname> <given-names>V</given-names>
</name>
<etal/>
</person-group>. <article-title>Tumor-Associated Macrophages in Human Breast, Colorectal, Lung, Ovarian and Prostate Cancers</article-title>. <source>Front Oncol</source> (<year>2020</year>) <volume>10</volume>:<elocation-id>566511</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fonc.2020.566511</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eum</surname> <given-names>HH</given-names>
</name>
<name>
<surname>Kwon</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ryu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Jo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Chung</surname> <given-names>W</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Tumor-Promoting Macrophages Prevail in Malignant Ascites of Advanced Gastric Cancer</article-title>. <source>Exp Mol Med</source> (<year>2020</year>) <volume>52</volume>:<page-range>1976&#x2013;88</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s12276-020-00538-y</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname> <given-names>R</given-names>
</name>
<name>
<surname>Wan</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xiao</surname> <given-names>S</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>M1-Like TAMs are Required for the Efficacy of PD-L1/PD-1 Blockades in Gastric Cancer</article-title>. <source>Oncoimmunology</source> (<year>2020</year>) <volume>10</volume>:<elocation-id>1862520</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/2162402X.2020.1862520</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vitale</surname> <given-names>I</given-names>
</name>
<name>
<surname>Manic</surname> <given-names>G</given-names>
</name>
<name>
<surname>Coussens</surname> <given-names>LM</given-names>
</name>
<name>
<surname>Kroemer</surname> <given-names>G</given-names>
</name>
<name>
<surname>Galluzzi</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Macrophages and Metabolism in the Tumor Microenvironment</article-title>. <source>Cell Metab</source> (<year>2019</year>) <volume>30</volume>:<fpage>36</fpage>&#x2013;<lpage>50</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cmet.2019.06.001</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yamaguchi</surname> <given-names>T</given-names>
</name>
<name>
<surname>Fushida</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yamamoto</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tsukada</surname> <given-names>T</given-names>
</name>
<name>
<surname>Kinoshita</surname> <given-names>J</given-names>
</name>
<name>
<surname>Oyama</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Tumor-Associated Macrophages of the M2 Phenotype Contribute to Progression in Gastric Cancer With Peritoneal Dissemination</article-title>. <source>Gastric Cancer</source> (<year>2016</year>) <volume>19</volume>:<page-range>1052&#x2013;65</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10120-015-0579-8</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Li</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>High Infiltration of Tumor-Associated Macrophages Influences Poor Prognosis in Human Gastric Cancer Patients, Associates With the Phenomenon of EMT</article-title>. <source>Med (Baltimore)</source> (<year>2016</year>) <volume>95</volume>:<elocation-id>e2636</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/MD.0000000000002636</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>J</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Infiltration of Diametrically Polarized Macrophages Predicts Overall Survival of Patients With Gastric Cancer After Surgical Resection</article-title>. <source>Gastric Cancer</source> (<year>2015</year>) <volume>18</volume>:<page-range>740&#x2013;50</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10120-014-0422-7</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shah</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Enzinger</surname> <given-names>P</given-names>
</name>
<name>
<surname>Ko</surname> <given-names>AH</given-names>
</name>
<name>
<surname>Ocean</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>Philip</surname> <given-names>PA</given-names>
</name>
<name>
<surname>Thakkar</surname> <given-names>PV</given-names>
</name>
<etal/>
</person-group>. <article-title>Multicenter Phase II Study of Cabazitaxel in Advanced Gastroesophageal Cancer: Association of HER2 Expression and M2-Like Tumor-Associated Macrophages With Patient Outcome</article-title>. <source>Clin Cancer Res</source> (<year>2020</year>) <volume>26</volume>:<page-range>4756&#x2013;66</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/1078-0432.CCR-19-3920</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>JY</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>CW</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>GF</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>WQ</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>XJ</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>CQ</given-names>
</name>
<etal/>
</person-group>. <article-title>Distribution Pattern of Tumor Associated Macrophages Predicts the Prognosis of Gastric Cancer</article-title>. <source>Oncotarget</source> (<year>2017</year>) <volume>8</volume>:<page-range>92757&#x2013;69</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.18632/oncotarget.21575</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lopez-Janeiro</surname> <given-names>A</given-names>
</name>
<name>
<surname>Padilla-Ansala</surname> <given-names>C</given-names>
</name>
<name>
<surname>de Andrea</surname> <given-names>CE</given-names>
</name>
<name>
<surname>Hardisson</surname> <given-names>D</given-names>
</name>
<name>
<surname>Melero</surname> <given-names>I</given-names>
</name>
</person-group>. <article-title>Prognostic Value of Macrophage Polarization Markers in Epithelial Neoplasms and Melanoma. A Systematic Review and Meta-Analysis</article-title>. <source>Mod Pathol</source> (<year>2020</year>) <volume>33</volume>:<page-range>1458&#x2013;65</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41379-020-0534-z</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pachathundikandi</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Muller</surname> <given-names>A</given-names>
</name>
<name>
<surname>Backert</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Inflammasome Activation by Helicobacter Pylori and Its Implications for Persistence and Immunity</article-title>. <source>Curr Top Microbiol Immunol</source> (<year>2016</year>) <volume>397</volume>:<page-range>117&#x2013;31</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/978-3-319-41171-2_6</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harris</surname> <given-names>PR</given-names>
</name>
<name>
<surname>Ernst</surname> <given-names>PB</given-names>
</name>
<name>
<surname>Kawabata</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kiyono</surname> <given-names>H</given-names>
</name>
<name>
<surname>Graham</surname> <given-names>MF</given-names>
</name>
<name>
<surname>Smith</surname> <given-names>PD</given-names>
</name>
</person-group>. <article-title>Recombinant Helicobacter Pylori Urease Activates Primary Mucosal Macrophages</article-title>. <source>J Infect Dis</source> (<year>1998</year>) <volume>178</volume>:<page-range>1516&#x2013;20</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1086/314426</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>LN</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>HC</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>WH</given-names>
</name>
</person-group>. <article-title>Helicobacter Pylori Infection Reduces TAMs Infiltration in a Mouse Model of AOM/DSS Induced Colitis-Associated Cancer</article-title>. <source>PloS One</source> (<year>2020</year>) <volume>15</volume>:<elocation-id>e0241840</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0241840</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Che</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Geng</surname> <given-names>B</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Miao</surname> <given-names>X</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<name>
<surname>Mu</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Helicobacter Pylori-Induced Exosomal MET Educates Tumour-Associated Macrophages to Promote Gastric Cancer Progression</article-title>. <source>J Cell Mol Med</source> (<year>2018</year>) <volume>22</volume>:<page-range>5708&#x2013;19</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/jcmm.13847</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Amieva</surname> <given-names>M</given-names>
</name>
<name>
<surname>Peek</surname> <given-names>RM</given-names>
<suffix>Jr.</suffix>
</name>
</person-group> <article-title>Pathobiology of Helicobacter Pylori-Induced Gastric Cancer</article-title>. <source>Gastroenterology</source> (<year>2016</year>) <volume>150</volume>:<fpage>64</fpage>&#x2013;<lpage>78</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.gastro.2015.09.004</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shichijo</surname> <given-names>S</given-names>
</name>
<name>
<surname>Hirata</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Characteristics and Predictors of Gastric Cancer After Helicobacter Pylori Eradication</article-title>. <source>World J Gastroenterol</source> (<year>2018</year>) <volume>24</volume>:<page-range>2163&#x2013;72</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3748/wjg.v24.i20.2163</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Digklia</surname> <given-names>A</given-names>
</name>
<name>
<surname>Wagner</surname> <given-names>AD</given-names>
</name>
</person-group>. <article-title>Advanced Gastric Cancer: Current Treatment Landscape and Future Perspectives</article-title>. <source>World J Gastroenterol</source> (<year>2016</year>) <volume>22</volume>:<page-range>2403&#x2013;14</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3748/wjg.v22.i8.2403</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gambardella</surname> <given-names>V</given-names>
</name>
<name>
<surname>Castillo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Tarazona</surname> <given-names>N</given-names>
</name>
<name>
<surname>Gimeno-Valiente</surname> <given-names>F</given-names>
</name>
<name>
<surname>Martinez-Ciarpaglini</surname> <given-names>C</given-names>
</name>
<name>
<surname>Cabeza-Segura</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>The Role of Tumor-Associated Macrophages in Gastric Cancer Development and Their Potential as a Therapeutic Target</article-title>. <source>Cancer Treat Rev</source> (<year>2020</year>) <volume>86</volume>:<elocation-id>102015</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ctrv.2020.102015</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>HI</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>SY</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Shin</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Roh</surname> <given-names>YH</given-names>
</name>
<name>
<surname>Cheong</surname> <given-names>JH</given-names>
</name>
<etal/>
</person-group>. <article-title>Contrasting Prognostic Effects of Tumor-Infiltrating Lymphocyte Density in Cardia and Non-Cardia Gastric Adenocarcinomas</article-title>. <source>J Gastric Cancer</source> (<year>2020</year>) <volume>20</volume>:<fpage>190</fpage>&#x2013;<lpage>201</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.5230/jgc.2020.20.e21</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname> <given-names>CN</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Chao</surname> <given-names>YJ</given-names>
</name>
<name>
<surname>Lai</surname> <given-names>MD</given-names>
</name>
<name>
<surname>Shan</surname> <given-names>YS</given-names>
</name>
</person-group>. <article-title>The Significance of the Co-Existence of Osteopontin and Tumor-Associated Macrophages in Gastric Cancer Progression</article-title>. <source>BMC Cancer</source> (<year>2015</year>) <volume>15</volume>:<fpage>128</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12885-015-1114-3</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jeremiasen</surname> <given-names>M</given-names>
</name>
<name>
<surname>Borg</surname> <given-names>D</given-names>
</name>
<name>
<surname>Hedner</surname> <given-names>C</given-names>
</name>
<name>
<surname>Svensson</surname> <given-names>M</given-names>
</name>
<name>
<surname>Nodin</surname> <given-names>B</given-names>
</name>
<name>
<surname>Leandersson</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Tumor-Associated CD68(+), CD163(+), and MARCO(+) Macrophages as Prognostic Biomarkers in Patients With Treatment-Naive Gastroesophageal Adenocarcinoma</article-title>. <source>Front Oncol</source> (<year>2020</year>) <volume>10</volume>:<elocation-id>534761</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fonc.2020.534761</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li-Chang</surname> <given-names>HH</given-names>
</name>
<name>
<surname>Kasaian</surname> <given-names>K</given-names>
</name>
<name>
<surname>Ng</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lum</surname> <given-names>A</given-names>
</name>
<name>
<surname>Kong</surname> <given-names>E</given-names>
</name>
<name>
<surname>Lim</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Retrospective Review Using Targeted Deep Sequencing Reveals Mutational Differences Between Gastroesophageal Junction and Gastric Carcinomas</article-title>. <source>BMC Cancer</source> (<year>2015</year>) <volume>15</volume>:<fpage>32</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12885-015-1021-7</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<collab>Cancer Genome Atlas Research N</collab>
</person-group>. <article-title>Comprehensive Molecular Characterization of Gastric Adenocarcinoma</article-title>. <source>Nature</source> (<year>2014</year>) <volume>513</volume>:<page-range>202&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature13480</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Edge</surname> <given-names>SB</given-names>
</name>
<name>
<surname>Compton</surname> <given-names>CC</given-names>
</name>
</person-group>. <article-title>The American Joint Committee on Cancer: The 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM</article-title>. <source>Ann Surg Oncol</source> (<year>2010</year>) <volume>17</volume>:<page-range>1471&#x2013;4</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1245/s10434-010-0985-4</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Su</surname> <given-names>CY</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>XL</given-names>
</name>
<name>
<surname>Duan</surname> <given-names>W</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>PW</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>YL</given-names>
</name>
</person-group>. <article-title>High Density of CD68+ Tumor-Associated Macrophages Predicts a Poor Prognosis in Gastric Cancer Mediated by IL-6 Expression</article-title>. <source>Oncol Lett</source> (<year>2018</year>) <volume>15</volume>:<page-range>6217&#x2013;24</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3892/ol.2018.8119</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Komohara</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Jinushi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Takeya</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Clinical Significance of Macrophage Heterogeneity in Human Malignant Tumors</article-title>. <source>Cancer Sci</source> (<year>2014</year>) <volume>105</volume>:<fpage>1</fpage>&#x2013;<lpage>8</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/cas.12314</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>K</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>X</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>P</given-names>
</name>
<name>
<surname>Ni</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Redefining Tumor-Associated Macrophage Subpopulations and Functions in the Tumor Microenvironment</article-title>. <source>Front Immunol</source> (<year>2020</year>) <volume>11</volume>:<elocation-id>1731</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2020.01731</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ch'ng</surname> <given-names>ES</given-names>
</name>
<name>
<surname>Tuan Sharif</surname> <given-names>SE</given-names>
</name>
<name>
<surname>Jaafar</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>In Human Invasive Breast Ductal Carcinoma, Tumor Stromal Macrophages and Tumor Nest Macrophages Have Distinct Relationships With Clinicopathological Parameters and Tumor Angiogenesis</article-title>. <source>Virchows Arch</source> (<year>2013</year>) <volume>462</volume>:<page-range>257&#x2013;67</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00428-012-1362-4</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meimarakis</surname> <given-names>G</given-names>
</name>
<name>
<surname>Winter</surname> <given-names>H</given-names>
</name>
<name>
<surname>Assmann</surname> <given-names>I</given-names>
</name>
<name>
<surname>Kopp</surname> <given-names>R</given-names>
</name>
<name>
<surname>Lehn</surname> <given-names>N</given-names>
</name>
<name>
<surname>Kist</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Helicobacter Pylori as a Prognostic Indicator After Curative Resection of Gastric Carcinoma: A Prospective Study</article-title>. <source>Lancet Oncol</source> (<year>2006</year>) <volume>7</volume>:<page-range>211&#x2013;22</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(06)70586-1</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>F</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>G</given-names>
</name>
<name>
<surname>Zou</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhong</surname> <given-names>F</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>T</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Protective Role of Helicobacter Pylori Infection in Prognosis of Gastric Cancer: Evidence From 2,454 Patients With Gastric Cancer</article-title>. <source>PloS One</source> (<year>2013</year>) <volume>8</volume>:<elocation-id>e62440</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0062440</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>G</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Cui</surname> <given-names>J</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Gastric Cancer Patients With Helicobacter Pylori Infection Have a Poor Prognosis</article-title>. <source>J Surg Oncol</source> (<year>2013</year>) <volume>108</volume>:<page-range>421&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jso.23417</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chang</surname> <given-names>WJ</given-names>
</name>
<name>
<surname>Du</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>X</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>LY</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>GW</given-names>
</name>
</person-group>. <article-title>Inflammation-Related Factors Predicting Prognosis of Gastric Cancer</article-title>. <source>World J Gastroenterol</source> (<year>2014</year>) <volume>20</volume>:<page-range>4586&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3748/wjg.v20.i16.4586</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hobsley</surname> <given-names>M</given-names>
</name>
<name>
<surname>Tovey</surname> <given-names>FI</given-names>
</name>
<name>
<surname>Holton</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Helicobacter Pylori and Gastric Cancer: Neither Friend Nor Foe</article-title>. <source>Gastroenterology</source> (<year>2007</year>) <volume>132</volume>:<fpage>2076</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.gastro.2007.03.088</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ito</surname> <given-names>N</given-names>
</name>
<name>
<surname>Tsujimoto</surname> <given-names>H</given-names>
</name>
<name>
<surname>Ueno</surname> <given-names>H</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Shinomiya</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Helicobacter Pylori-Mediated Immunity and Signaling Transduction in Gastric Cancer</article-title>. <source>J Clin Med</source> (<year>2020</year>) <volume>9</volume>:<fpage>3699</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/jcm9113699</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Helicobacter Pylori Colonization Protects Against Chronic Experimental Colitis by Regulating Th17/Treg Balance</article-title>. <source>Inflammation Bowel Dis</source> (<year>2018</year>) <volume>24</volume>:<page-range>1481&#x2013;92</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ibd/izy107</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Quiding-Jarbrink</surname> <given-names>M</given-names>
</name>
<name>
<surname>Raghavan</surname> <given-names>S</given-names>
</name>
<name>
<surname>Sundquist</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Enhanced M1 Macrophage Polarization in Human Helicobacter Pylori-Associated Atrophic Gastritis and in Vaccinated Mice</article-title>. <source>PloS One</source> (<year>2010</year>) <volume>5</volume>:<elocation-id>e15018</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0015018</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Rong</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tao</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>X</given-names>
</name>
<name>
<surname>Shu</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>The Degree of Helicobacter Pylori Infection Affects the State of Macrophage Polarization Through Crosstalk Between ROS and HIF-1alpha</article-title>. <source>Oxid Med Cell Longev</source> (<year>2020</year>) <volume>2020</volume>:<elocation-id>5281795</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2020/5281795</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>