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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1630604</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Relationship between LILRB2 and APE1 levels and pathological characteristics in colorectal cancer patients and their predictive value for prognosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name><surname>Li</surname><given-names>Ji</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3070811/overview"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Tang</surname><given-names>Xiaofang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname><given-names>MianYong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Tu</surname><given-names>JinMing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><label>1</label><institution>Gastroenterology Department, Longyou County People&#x2019;s Hospital</institution>, <city>Longyou</city>, <state>Quzhou, Zhejiang</state>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Gastroenterology Department, Tongxiang First People&#x2019;s Hospital</institution>, <city>Tongxiang</city>, <state>Jiaxing, Zhejiang</state>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Ji Li, <email xlink:href="mailto:LiJi7162@163.com">LiJi7162@163.com</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-26">
<day>26</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1630604</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Li, Tang, Wu and Tu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li, Tang, Wu and Tu</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>This study aimed to investigate the relationship between the expression levels of Leukocyte Immunoglobulin-Like Receptor Subfamily B2 (LILRB2) and Apurinic/Apyrimidinic Endonuclease 1 (APE1) and the pathological characteristics in colorectal cancer (CRC) patients, as well as their predictive value for prognosis.</p>
</sec>
<sec>
<title>Methods</title>
<p>Serum levels of LILRB2 and APE1 were analyzed in CRC patients with varying pathological characteristics. The associations between LILRB2 and APE1 serum levels and patient prognosis was evaluated, and factors influencing prognosis were identified.</p>
</sec>
<sec>
<title>Results</title>
<p>Patients with high LILRB2 expression exhibited a significantly lower survival rate than those with low expression, and the same trend was observed for APE1 expression (both <italic>P</italic> &lt; 0.001). Univariate Cox analysis revealed that expression levels of LILRB2 and APE1, TNM stage, and lymph node metastasis (LNM) were associated with CRC prognosis. Multivariate Cox analysis demonstrated that high expression levels of LILRB2 and APE1, advanced TNM stage, and the presence of LNM were independent risk factors impacting CRC prognosis (<italic>P</italic> &lt; 0.05).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Abnormal expression levels of LILRB2 and APE1 are associated with age, tumor diameter, TNM stage, and LNM in CRC patients. Elevated expression of these markers predicts a poorer prognosis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>colorectal cancer</kwd>
<kwd>Leukocyte Immunoglobulin-Like Receptor Subfamily B2 (LILRB2)</kwd>
<kwd>Apurinic/apyrimidinic endonuclease 1 (APE1)</kwd>
<kwd>pathological characteristics</kwd>
<kwd>prognosis</kwd>
<kwd>Cox regression analysis</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that no financial support was received for the research, and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="9"/>
<word-count count="4100"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Infectious Diseases</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Colorectal cancer (CRC) ranks as the second most frequently diagnosed malignancy in adult women and the third in adult men, standing as the fourth leading cause of cancer-related mortality and accounting for approximately 9.2% of all cancer deaths globally (<xref ref-type="bibr" rid="B1">Bray et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Dekker et&#xa0;al., 2019</xref>). Fewer than half of CRC cases are diagnosed at a locally advanced stage. The disease is highly heterogeneous and involves numerous genetic or somatic mutations (<xref ref-type="bibr" rid="B26">Zygulska and Pierzchalski, 2022</xref>). Its onset, progression, and prognosis are closely associated with the immune status of the tumor microenvironment (TME) and the metabolic activity of tumor cells (<xref ref-type="bibr" rid="B20">Tomasini et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B10">Ferkel et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B17">Liu et&#xa0;al., 2025</xref>). In recent years, increasing attention has been directed toward the roles of immune checkpoint molecules and DNA damage repair proteins in tumor progression.</p>
<p>Clinico-pathological characteristics such as tumor stage are well-established prognostic indicators for predicting patient survival (<xref ref-type="bibr" rid="B2">Brenner et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B19">Renfro et&#xa0;al., 2014</xref>). Leukocyte Immunoglobulin-Like Receptor B2 (LILRB2) is a transmembrane glycoprotein structurally similar to the immune checkpoint protein programmed cell death protein-1 (PD-1) and its ligand PD-L1. It is widely expressed on dendritic cells, macrophages, and other myeloid cells, where it inhibits immune cell activity and participates in important pathological processes, including modulation of the TME, immune evasion, and tumor progression (<xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2018</xref>). According to previous research, LILRB2 contributes to immune suppression and tumor advancement in malignancies such as acute myeloid leukemia and non-small cell lung cancer (<xref ref-type="bibr" rid="B25">Zhao et&#xa0;al., 2024</xref>). Moreover, LILRB2 expression is markedly upregulated in CRC, where its elevation correlates with unfavorable clinicopathological parameters, including poor-to-moderate differentiation, lymph node metastasis (LNM), advanced TNM stage, and poor prognosis (<xref ref-type="bibr" rid="B21">Wang et&#xa0;al., 2023</xref>). Analyses of T-cell subsets in CRC and lung adenocarcinoma have further revealed that LILRB2 overexpression is associated with decreased CD3+ and CD8+ T-cell levels and increased FOXP3+ regulatory T-cell infiltration within the TME (<xref ref-type="bibr" rid="B4">Cao et&#xa0;al., 2025</xref>).</p>
<p>Apurinic/apyrimidinic endonuclease 1 (APE1), a key enzyme in the base excision repair pathway, also functions as a redox-sensitive modulator that activates multiple transcription factors (<xref ref-type="bibr" rid="B18">Oliveira et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B23">Xue and Demple, 2022</xref>; <xref ref-type="bibr" rid="B24">Zhang et&#xa0;al., 2022</xref>). APE1 has been implicated in CRC progression, influencing tumor growth, chemotherapeutic resistance, and metastatic potential in both human CRC cells and carcinogen-induced CRC models. Elevated APE1 expression is closely linked to advanced disease stage and reduced survival, suggesting its potential as a prognostic and predictive biomarker for CRC (<xref ref-type="bibr" rid="B12">Hong et&#xa0;al., 2023</xref>).</p>
<p>Although LILRB2 and APE1 have been independently identified as regulators of tumor immunity and DNA repair, respectively, potential crosstalk or synergistic regulation between them in CRC remains unclear. Considering their associations with tumor pathology and patient prognosis, both molecules represent promising biomarkers. This study, therefore, integrates LILRB2 and APE1 within a unified analytical framework to investigate their co-expression patterns in CRC, their relationships with clinicopathological characteristics, and their combined predictive value for patient prognosis.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Ethical approval</title>
<p>This study was approved by the Ethics Committee of Tongxiang First People&#x2019;s Hospital. Written informed consent was obtained from all participants prior to enrollment.</p>
</sec>
<sec id="s2_2">
<title>Study participants</title>
<p>From May 2019 to May 2021, 100 CRC patients treated at Tongxiang First People&#x2019;s Hospital were enrolled as the study group. The inclusion criteria were as follows. (1) Meeting the diagnostic criteria for CRC (<xref ref-type="bibr" rid="B8">Cubiella et&#xa0;al., 2018</xref>); (2) Aged 18 to 80 years; (3) Primary surgical treatment without prior radiotherapy, chemotherapy, or anti-inflammatory therapy; (4) Availability of complete clinical and pathological data; (5) An expected survival time of more than 3 months. Exclusion criteria included: (1) Coexistence of another primary or metastatic malignant tumor; (2) Presence of systemic immune or hematological diseases; (3) Other colorectal lesions such as intestinal tuberculosis or colonic vascular diseases; (4) History of previous colorectal surgery; (5) Poor compliance or loss to follow-up. In addition, 80 healthy volunteers undergoing routine physical examinations during the same period were recruited as the control group. The control group consisted of 49 males and 31 females, aged 43 to 77 years, with a mean age of 59.23 &#xb1; 8.39 years. The study group consisted of 51 males and 49 females, aged 44 to 77 years, with a mean age of 60.06 &#xb1; 7.66 years. No marked differences were noted in gender or age between the two groups (<italic>P</italic> &gt; 0.05), indicating comparability.</p>
</sec>
<sec id="s2_3">
<title>Observational indicators</title>
<sec id="s2_3_1">
<title>Collection of pathological characteristics</title>
<p>Clinicopathological parameters including age, gender, tumor location, tumor diameter, TNM stage, degree of differentiation, LNM, and neural invasion were collected from all CRC patients.</p>
</sec>
</sec>
<sec id="s2_4">
<title>Detection of serum LILRB2 and APE1 expression</title>
<p>Three milliliters of fasting venous blood were collected from each participant in the morning. After standing at ambient temperature for 1 hour, the samples were centrifuged at 3000 rpm/min for 10 minutes. The supernatant was collected and stored at -80 &#xb0;C until analysis. Serum LILRB2 and APE1 levels were determined using enzyme-linked immunosorbent assay (ELISA) according to the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="s2_5">
<title>Prognosis assessment</title>
<p>Patients were followed up for two years via outpatient visits, telephone calls, or online communication at 6-month intervals. The follow-up period concluded in June 2023, and no cases were lost to follow-up. Overall survival was calculated from the completion of treatment to the last follow-up or the date of death.</p>
</sec>
<sec id="s2_6">
<title>Statistical analysis</title>
<p>All statistical analyses were conducted using SPSS version 21.0 (IBM Corp., Armonk, NY, USA). Continuous variables were expressed as the mean &#xb1; standard deviation ( &#xb1; s) and compared between groups using the <italic>t</italic>-test. Categorical variables were presented as percentages (%) and analyzed using the &#x3c7;&#xb2; test. Kaplan-Meier survival curves were utilized to evaluate the relationship between serum expression levels of LILRB2 and APE1 and the prognosis of CRC patients. Univariate and multivariate Cox proportional hazards regression analyses were applied to identify independent prognostic factors. Receiver operating characteristic (ROC) curve analysis was used to evaluate the prognostic predictive value of LILRB2 and APE1 levels in CRC patients. A <italic>P</italic>-value of less than 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Expression levels of LILRB2 and APE1</title>
<p>The study group had significantly higher serum levels of LILRB2 and APE1 versus the control group (<italic>P</italic> &lt; 0.05). These results indicate that CRC patients exhibited markedly elevated serum LILRB2 and APE1 levels compared with healthy controls (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Comparison of expression levels of LILRB2 and APE1 between the two groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Indicator</th>
<th valign="middle" align="left">Control <break/>group <break/>(n = 80)</th>
<th valign="middle" align="left">Study group <break/>(n = 100)</th>
<th valign="middle" align="left"><italic>t</italic></th>
<th valign="middle" align="left"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">LILRB2 (pg/mL)</td>
<td valign="middle" align="left">214.78 &#xb1; 46.58</td>
<td valign="middle" align="left">402.18 &#xb1; 89.20</td>
<td valign="middle" align="left">17.021</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">APE1 (ng/mL)</td>
<td valign="middle" align="left">0.13 &#xb1; 0.07</td>
<td valign="middle" align="left">0.48 &#xb1; 0.11</td>
<td valign="middle" align="left">24.214</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Relationship between LILRB2 and APE1 serum levels and pathological characteristics in CRC patients</title>
<p>Based on the mean serum expression levels of LILRB2 and APE1 (LILRB2: 402.18; APE1: 0.48), the 100 CRC patients were stratified into high- and low-expression groups for each marker (LILRB2: n = 51 high, n = 49 low; APE1: n = 50 high, n = 50 low). Analysis revealed that LILRB2 expression differed significantly among patients of different ages, TNM stages, and LNM status (<italic>P</italic> &lt; 0.05). However, LILRB2 levels were not significantly associated with gender, tumor location, tumor diameter, degree of differentiation, or neural invasion (<italic>P</italic> &gt; 0.05). Similarly, APE1 expression levels showed significant differences according to tumor diameter, TNM stage, and LNM status (<italic>P</italic> &lt; 0.05), but no significant correlations were found with age, gender, tumor location, degree of differentiation, or neural invasion (<italic>P</italic> &gt; 0.05). These findings suggest that serum LILRB2 and APE1 expression levels are closely associated with age, tumor diameter, TNM stage, and LNM in CRC patients (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Relationship between serum expression levels of LILRB2 and APE1 and pathological characteristics in CRC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Pathological characteristics</th>
<th valign="middle" align="left">Number of cases</th>
<th valign="middle" align="left">Low LILRB2 expression group (n = 49)</th>
<th valign="middle" align="left">High LILRB2 expression group (n = 51)</th>
<th valign="middle" align="left"><italic>&#x3c7;<sup>2</sup></italic></th>
<th valign="middle" align="left"><italic>P</italic></th>
<th valign="middle" align="left">Low APE1 expression group (n = 50)</th>
<th valign="middle" align="left">High APE1 expression group (n = 50)</th>
<th valign="middle" align="left"><italic>&#x3c7;<sup>2</sup></italic></th>
<th valign="middle" align="left"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">3.968</td>
<td valign="middle" align="left">0.046</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">3.252</td>
<td valign="middle" align="left">0.071</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2264;60</td>
<td valign="middle" align="left">47</td>
<td valign="middle" align="left">28 (57.14%)</td>
<td valign="middle" align="left">19 (37.25%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">28 (56.00%)</td>
<td valign="middle" align="left">19 (38.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&gt;60</td>
<td valign="middle" align="left">53</td>
<td valign="middle" align="left">21 (42.86%)</td>
<td valign="middle" align="left">32 (62.75%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">22 (44.00%)</td>
<td valign="middle" align="left">31 (62.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Gender</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">2.575</td>
<td valign="middle" align="left">0.109</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">3.241</td>
<td valign="middle" align="left">0.072</td>
</tr>
<tr>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">51</td>
<td valign="middle" align="left">29 (59.18%)</td>
<td valign="middle" align="left">22 (43.14%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">30 (60.00%)</td>
<td valign="middle" align="left">21 (42.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="left">49</td>
<td valign="middle" align="left">20 (40.82%)</td>
<td valign="middle" align="left">29 (56.86%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">20 (40.00%)</td>
<td valign="middle" align="left">29 (58.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Lesion location</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">2.019</td>
<td valign="middle" align="left">0.155</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.644</td>
<td valign="middle" align="left">0.422</td>
</tr>
<tr>
<td valign="middle" align="left">Colon</td>
<td valign="middle" align="left">46</td>
<td valign="middle" align="left">19 (38.78%)</td>
<td valign="middle" align="left">27 (52.94%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">21 (42.00%)</td>
<td valign="middle" align="left">25 (50.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Rectum</td>
<td valign="middle" align="left">54</td>
<td valign="middle" align="left">30 (61.22%)</td>
<td valign="middle" align="left">24 (47.06%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">29 (58.00%)</td>
<td valign="middle" align="left">25 (50.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Tumor diameter (cm)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.164</td>
<td valign="middle" align="left">0.281</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">4.574</td>
<td valign="middle" align="left">0.032</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2264; 5</td>
<td valign="middle" align="left">77</td>
<td valign="middle" align="left">40 (81.63%)</td>
<td valign="middle" align="left">37 (72.55%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">43 (86.00%)</td>
<td valign="middle" align="left">34 (68.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&gt; 5</td>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">9 (18.37%)</td>
<td valign="middle" align="left">14 (27.45%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">7 (14.00%)</td>
<td valign="middle" align="left">16 (32.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">TNM stage</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">6.732</td>
<td valign="middle" align="left">0.009</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">5.769</td>
<td valign="middle" align="left">0.016</td>
</tr>
<tr>
<td valign="middle" align="left">Stage I and II</td>
<td valign="middle" align="left">48</td>
<td valign="middle" align="left">30 (61.22%)</td>
<td valign="middle" align="left">18 (35.29%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">30 (60.00%)</td>
<td valign="middle" align="left">18 (36.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Stage III and IV</td>
<td valign="middle" align="left">52</td>
<td valign="middle" align="left">19 (38.78%)</td>
<td valign="middle" align="left">33 (64.71%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">20 (40.00%)</td>
<td valign="middle" align="left">32 (64.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Degree of differentiation</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.293</td>
<td valign="middle" align="left">0.588</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.379</td>
<td valign="middle" align="left">0.538</td>
</tr>
<tr>
<td valign="middle" align="left">Poorly differentiated</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">5 (10.20%)</td>
<td valign="middle" align="left">7 (13.73%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">7 (14.00%)</td>
<td valign="middle" align="left">5 (10.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Moderately and well differentiated</td>
<td valign="middle" align="left">88</td>
<td valign="middle" align="left">44 (89.80%)</td>
<td valign="middle" align="left">44 (86.27%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">43 (86.00%)</td>
<td valign="middle" align="left">45 (90.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Lymph node metastasis</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">5.713</td>
<td valign="middle" align="left">0.017</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">8.734</td>
<td valign="middle" align="left">0.003</td>
</tr>
<tr>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">34</td>
<td valign="middle" align="left">11 (22.45%)</td>
<td valign="middle" align="left">23 (45.10%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">10 (20.00%)</td>
<td valign="middle" align="left">24 (48.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">66</td>
<td valign="middle" align="left">38 (77.55%)</td>
<td valign="middle" align="left">28 (54.90%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">40 (80.00%)</td>
<td valign="middle" align="left">26 (52.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Perineural invasion</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.962</td>
<td valign="middle" align="left">0.327</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">1.000</td>
</tr>
<tr>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">42</td>
<td valign="middle" align="left">23 (46.94%)</td>
<td valign="middle" align="left">19 (37.25%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">21 (42.00%)</td>
<td valign="middle" align="left">21 (42.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">58</td>
<td valign="middle" align="left">26 (53.06%)</td>
<td valign="middle" align="left">32 (62.75%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">29 (58.00%)</td>
<td valign="middle" align="left">29 (58.00%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Postoperative adjuvant chemotherapy</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.600</td>
<td valign="middle" align="left">0.439</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.043</td>
<td valign="middle" align="left">0.836</td>
</tr>
<tr>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">37</td>
<td valign="middle" align="left">20 (40.82)</td>
<td valign="middle" align="left">17 (33.33)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">19 (38.00)</td>
<td valign="middle" align="left">18 (36.00)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">63</td>
<td valign="middle" align="left">29 (59.18)</td>
<td valign="middle" align="left">34 (66.67)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">31 (62.00)</td>
<td valign="middle" align="left">32 (64.00)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.739</td>
<td valign="middle" align="left">0.390</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.233</td>
<td valign="middle" align="left">0.629</td>
</tr>
<tr>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">22</td>
<td valign="middle" align="left">9 (18.37)</td>
<td valign="middle" align="left">13 (25.49)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">12 (24.00)</td>
<td valign="middle" align="left">10 (20.00)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">78</td>
<td valign="middle" align="left">40 (81.63)</td>
<td valign="middle" align="left">38 (74.51)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">38 (76.00)</td>
<td valign="middle" align="left">40 (80.00)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Diabetes</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.010</td>
<td valign="middle" align="left">0.920</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">2.250</td>
<td valign="middle" align="left">0.134</td>
</tr>
<tr>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">10 (20.41)</td>
<td valign="middle" align="left">10 (19.61)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">13 (26.00)</td>
<td valign="middle" align="left">7 (14.00)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">80</td>
<td valign="middle" align="left">39 (79.59)</td>
<td valign="middle" align="left">41 (80.39)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">37 (74.00)</td>
<td valign="middle" align="left">43 (86.00)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Relationship between serum expression levels of LILRB2 and APE1 and prognosis in CRC patients</title>
<p>All 100 CRC patients were successfully followed for two years, with no loss to follow-up. During this period, 29 patients died and 71 survived. The two-year survival rate in the high LILRB2 expression group was 58.82% (30/51), significantly lower than that in the low-expression group (83.67%, 41/49) (log-rank &#x3c7;&#xb2; = 37.284, <italic>P</italic> &lt; 0.001) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Similarly, the high APE1 expression group had a survival rate of 62.00% (31/50), markedly lower than that in the low-expression group (80.00%, 40/50) (log-rank &#x3c7;&#xb2; = 29.960, <italic>P</italic> &lt; 0.001) (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). These findings demonstrate that elevated serum levels of LILRB2 and APE1 are associated with poorer prognosis in CRC patients.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Relationship between serum LILRB2 expression level and prognosis in CRC patients. The red curve represents the survival curve of the LILRB2 low expression group, while the blue curve represents that of the high expression group. The red curve lies above the blue curve, indicating that patients in the low expression group had better survival than those in the high expression group. The <italic>P</italic>-value from the Log-rank test was &lt; 0.0001, suggesting a statistically significant difference in overall survival between the two groups. The middle table indicates the number of patients still under follow-up and event-free in each group at different time points (0, 5, 10, 15, 20, and 25 months). The bottom table displays the distribution of censored events at each time point, represented by blue (high expression group) and red (low expression group) bars.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1630604-g001.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curve comparing two groups: blue represents &#x201c;Group=High&#x201d; and red represents &#x201c;Group=Low&#x201d;. The graph shows survival probability over time in months. Group=High has a lower survival probability compared to Group=Low. The p-value is less than 0.0001, indicating statistical significance. Below, a table shows the number at risk, with Group=High having diminishing numbers from 51 at the start to 0 at 20 months, and Group=Low starting with 49 and reaching 0 at 25 months. The bottom chart shows censoring events, with numerous marks displayed over time.</alt-text>
</graphic></fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Relationship between serum APE1 expression level and prognosis in CRC patients. The red curve represents the survival curve of the APE1 low expression group, while the blue curve represents that of the high expression group. The red curve lies above the blue curve, indicating that patients in the low expression group had better survival than those in the high expression group. The <italic>P</italic>-value from the Log-rank test was &lt; 0.0001, suggesting a statistically significant difference in overall survival between the two groups. The middle table indicates the number of patients still under follow-up and event-free in each group at different time points (0, 5, 10, 15, 20, and 25 months). The bottom table displays the distribution of censored events at different time points using blue (high expression group) and red (low expression group) bars.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1630604-g002.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curves comparing high and low groups over 25 months. The high group in blue shows lower survival probability compared to the low group in red. Shaded areas indicate confidence intervals. At risk data show diminishing numbers over time, with significant survival differences noted (p &lt; 0.0001). The bottom chart illustrates censoring events, with more frequent events in the high group.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<title>Univariate and multivariate Cox analysis of prognostic factors in CRC patients</title>
<p>Univariate Cox regression analysis identified LILRB2 expression, APE1 expression, TNM stage, and LNM as significant factors influencing the prognosis of CRC patients (<italic>P</italic> &lt; 0.05). Multivariate Cox regression further confirmed that high LILRB2 and APE1 expression levels, advanced TNM stage, and the presence of LNM were independent predictors of unfavorable prognosis (<italic>P</italic> &lt; 0.05) (<xref ref-type="table" rid="T3"><bold>Tables&#xa0;3</bold></xref>, <xref ref-type="table" rid="T4"><bold>4</bold></xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Assignment table.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="left">Assignment description</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="left">&#x2264; 60 = 1, &gt; 60 = 2</td>
</tr>
<tr>
<td valign="middle" align="left">Gender</td>
<td valign="middle" align="left">Male = 1, Female = 2</td>
</tr>
<tr>
<td valign="middle" align="left">Lesion location</td>
<td valign="middle" align="left">Colon = 1, Rectum = 2</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor diameter (cm)</td>
<td valign="middle" align="left">&#x2264; 5 = 1, &gt; 5 = 2</td>
</tr>
<tr>
<td valign="middle" align="left">TNM stage</td>
<td valign="middle" align="left">Stage I and II = 1, Stage III and IV = 2</td>
</tr>
<tr>
<td valign="middle" align="left">Degree of differentiation</td>
<td valign="middle" align="left">Moderately and well differentiated = 1, poorly differentiated = 2</td>
</tr>
<tr>
<td valign="middle" align="left">Lymph node metastasis</td>
<td valign="middle" align="left">No = 1, Yes = 2</td>
</tr>
<tr>
<td valign="middle" align="left">Perineural invasion</td>
<td valign="middle" align="left">No = 1, Yes = 2</td>
</tr>
<tr>
<td valign="middle" align="left">LILRB2 expression</td>
<td valign="middle" align="left">Low = 1, High = 2</td>
</tr>
<tr>
<td valign="middle" align="left">APE1 expression</td>
<td valign="middle" align="left">Low = 1, High = 2</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Univariate and multivariate Cox analysis of influencing the prognosis of CRC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variable</th>
<th valign="middle" colspan="3" align="center">Univariate Cox analysis</th>
<th valign="middle" colspan="3" align="center">Multivariate Cox analysis</th>
</tr>
<tr>
<th valign="middle" align="center">HR</th>
<th valign="middle" align="center">95% CI</th>
<th valign="middle" align="center"><italic>P</italic></th>
<th valign="middle" align="center">HR</th>
<th valign="middle" align="center">95% CI</th>
<th valign="middle" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="center">0.496</td>
<td valign="middle" align="center">0.228-1.081</td>
<td valign="middle" align="center">0.078</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Gender</td>
<td valign="middle" align="center">0.735</td>
<td valign="middle" align="center">0.351-1.540</td>
<td valign="middle" align="center">0.415</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Lesion location</td>
<td valign="middle" align="center">1.016</td>
<td valign="middle" align="center">0.475-2.172</td>
<td valign="middle" align="center">0.968</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Tumor diameter (cm)</td>
<td valign="middle" align="center">0.578</td>
<td valign="middle" align="center">0.253-1.318</td>
<td valign="middle" align="center">0.192</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">TNM stage</td>
<td valign="middle" align="center">0.148</td>
<td valign="middle" align="center">0.054-0.405</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001-0.052</td>
<td valign="middle" align="center">0.006</td>
</tr>
<tr>
<td valign="middle" align="left">Degree of differentiation</td>
<td valign="middle" align="center">0.629</td>
<td valign="middle" align="center">0.238-1.661</td>
<td valign="middle" align="center">0.350</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Lymph node metastasis</td>
<td valign="middle" align="center">0.319</td>
<td valign="middle" align="center">0.147-0.693</td>
<td valign="middle" align="center">0.004</td>
<td valign="middle" align="center">0.003</td>
<td valign="middle" align="center">&lt;0.001-0.326</td>
<td valign="middle" align="center">0.015</td>
</tr>
<tr>
<td valign="middle" align="left">Perineural invasion</td>
<td valign="middle" align="center">0.728</td>
<td valign="middle" align="center">0.350-1.511</td>
<td valign="middle" align="center">0.394</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">LILRB2 expression</td>
<td valign="middle" align="center">0.013</td>
<td valign="middle" align="center">0.002-0.111</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001-0.001</td>
<td valign="middle" align="center">0.003</td>
</tr>
<tr>
<td valign="middle" align="left">APE1 expression</td>
<td valign="middle" align="center">0.050</td>
<td valign="middle" align="center">0.014-0.177</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001-0.001</td>
<td valign="middle" align="center">0.003</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Predictive value of LILRB2 and APE1 levels for CRC prognosis</title>
<p>ROC curve analysis was used to evaluate the prognostic predictive value of LILRB2 and APE1 levels in CRC patients. The area under the curve (AUC) values for LILRB2 and APE1 were 0.719 (95% CI: 0.617-0.821, <italic>P</italic> = 0.001) and 0.671 (95% CI: 0.562-0.781, <italic>P</italic> = 0.007), respectively. The combined predictive model incorporating both markers yielded a higher AUC of 0.721 (95% CI: 0.616-0.826, <italic>P</italic> = 0.001), indicating improved prognostic accuracy compared with either biomarker alone (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Predictive value of LILRB2 and APE1 levels for the prognosis of CRC patients as shown by ROC analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Test result variable (s)</th>
<th valign="middle" rowspan="2" align="center">Area</th>
<th valign="middle" rowspan="2" align="center">Std. Errora</th>
<th valign="middle" rowspan="2" align="center"><italic>P</italic></th>
<th valign="middle" colspan="2" align="center">Asymptotic 95% confidence interval</th>
</tr>
<tr>
<th valign="middle" align="center">Lower bound</th>
<th valign="middle" align="center">Upper bound</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">LILRB2</td>
<td valign="middle" align="center">0.719</td>
<td valign="middle" align="center">0.052</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">0.617</td>
<td valign="middle" align="center">0.821</td>
</tr>
<tr>
<td valign="middle" align="center">APE1</td>
<td valign="middle" align="center">0.671</td>
<td valign="middle" align="center">0.056</td>
<td valign="middle" align="center">0.007</td>
<td valign="middle" align="center">0.562</td>
<td valign="middle" align="center">0.781</td>
</tr>
<tr>
<td valign="middle" align="center">Combination</td>
<td valign="middle" align="center">0.721</td>
<td valign="middle" align="center">0.054</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">0.616</td>
<td valign="middle" align="center">0.826</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Predictive value of LILRB2 and APE1 levels for the prognosis of CRC patients as shown by ROC analysis. The AUC for LILRB2 (blue) was 0.719 (95% CI: 0.617-0.821, <italic>P</italic> = 0.001); for APE1 (red), 0.671 (95% CI: 0.562-0.781, <italic>P</italic> = 0.007); and for the combined model of LILRB2 and APE1 (green), 0.721 (95% CI: 0.616-0.826, <italic>P</italic> = 0.001). The orange diagonal line represents the reference line.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1630604-g003.tif">
<alt-text content-type="machine-generated">ROC curve graph showing sensitivity versus 1-specificity for LILRB2 (blue line), APE1 (red line), and their combination (green line). An orange reference line indicates random performance. The axes range from 0 to 1. Text notes diagonal segments are produced by ties.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>CRC remains one of the most prevalent malignancies of the human digestive tract. Its development follows a multistep process, beginning with benign adenomatous polyps of the large intestine and rectum that gradually transform into invasive carcinoma over time (<xref ref-type="bibr" rid="B22">Wu et&#xa0;al., 2020</xref>). Conventional treatments for CRC primarily include surgery, chemotherapy, and radiotherapy, often used in combination depending on individual patient needs. In recent years, immunotherapy has emerged as a promising therapeutic strategy for CRC (<xref ref-type="bibr" rid="B14">Johdi and Sukor, 2020</xref>). In this study, serum expression levels of LILRB2 and APE1 were analyzed in CRC patients to explore their correlations with clinicopathological features and prognosis. The results demonstrated that both LILRB2 and APE1 were significantly upregulated in CRC patients compared with healthy controls, suggesting that these biomarkers may play important roles in CRC onset and progression.</p>
<p>Specifically, LILRB2 expression was significantly associated with patient age, TNM stage, and LNM. LILRB2 is known to inhibit immune cell activity and modulate the tumor immune microenvironment through its interaction with ligands such as HLA-G, angiopoietin-like protein 2, and semaphorin-4A, thereby promoting tumor cell proliferation and metastasis (<xref ref-type="bibr" rid="B3">Cai et&#xa0;al., 2019</xref>). Consistent with earlier findings (<xref ref-type="bibr" rid="B7">Chen QY. et&#xa0;al., 2021</xref>), the current findings revealed that elevated LILRB2 levels were positively correlated with immune checkpoint proteins and LNM, contributing to tumor immune evasion and progression. Consistent with earlier evidence, overexpression of LILRB2&#x2014;particularly in concert with its ligand angiopoietin-like protein 2&#x2014;has been identified as a strong predictor of poor prognosis in CRC (<xref ref-type="bibr" rid="B25">Zhao et&#xa0;al., 2024</xref>). Additionally, the present results suggest that LILRB2 is relevant across different age groups, supporting its potential as a prognostic biomarker for CRC progression.</p>
<p>Similarly, APE1 expression was closely associated with tumor diameter, TNM stage, and LNM. Previous studies have demonstrated a strong relationship between APE1 and the tumor immune microenvironment (<xref ref-type="bibr" rid="B16">Li et&#xa0;al., 2021</xref>). APE1 expression is markedly elevated in CRC and metastatic lymph nodes compared with normal colorectal mucosa and non-metastatic lymph nodes. Its overexpression correlates with adverse pathological parameters, including lymphovascular and perineural invasion, deeper tumor infiltration, distant metastasis, and reduced overall survival (<xref ref-type="bibr" rid="B12">Hong et&#xa0;al., 2023</xref>). Consistent with these observations, our study found that patients with larger tumor diameters, advanced TNM stages, and LNM exhibited higher APE1 expression levels, further underscoring its role in CRC progression and metastasis.</p>
<p>Moreover, survival analysis and Cox regression models demonstrated that high expression levels of LILRB2 and APE1, advanced TNM stage, and LNM were independent risk factors for poor prognosis in CRC patients. These findings highlight the importance of incorporating these biomarkers into CRC risk stratification and therapeutic decision-making. Patients with elevated LILRB2 and APE1 expression exhibited significantly lower survival rates than those with low expression, indicating their potential as prognostic indicators for CRC outcomes. ROC analysis revealed that the combined predictive model incorporating both LILRB2 and APE1 achieved a higher AUC than either marker alone, suggesting superior prognostic accuracy when both biomarkers are evaluated in tandem. Collectively, these results suggest that LILRB2 and APE1 may serve as complementary biomarkers for assessing disease progression and predicting prognosis in CRC patients.</p>
<p>It is well recognized that the TNM staging system plays an irreplaceable role in determining CRC prognosis (<xref ref-type="bibr" rid="B6">Chen K. et&#xa0;al., 2021</xref>). However, as an anatomical localization-based system, it cannot fully capture the biological heterogeneity inherent to tumors (<xref ref-type="bibr" rid="B13">Jiang et&#xa0;al., 2025</xref>). In the present study, it was observed that even among patients with identical TNM stages, significant variations exist in the expression levels of LILRB2 and APE1, which could further distinguish subgroups with different survival outcomes. This finding suggests that the molecular information conveyed by LILRB2 and APE1 extends beyond the morphological boundaries defined by the TNM classification. Therefore, integrating these two molecular markers with TNM staging may enable the development of a more dynamic and predictive &#x201c;anatomical-molecular&#x201d; composite model for CRC prognosis. Moreover, microsatellite instability (MSI) is an important molecular phenotype in CRC, closely associated with both prognosis and responsiveness to immunotherapy (<xref ref-type="bibr" rid="B11">Greco et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B15">Jonchere et&#xa0;al., 2024</xref>). The present study provides new insights into the potential mechanistic links between LILRB2 and APE1 expression and MSI status in CRC. Specifically, LILRB2 may characterize a myeloid immunosuppression&#x2013;dominant tumor microenvironment within microsatellite-stable (MSS) subtypes, offering a potential therapeutic target for overcoming the limited efficacy of immunotherapy in this group. Conversely, the DNA repair function of APE1 in MSI-high (MSI-H) tumors may undergo adaptive modulation, reflecting its role in maintaining genomic stability under immune pressure. Exploring the interplay between these two molecules and MSI status could significantly enhance the precision of immune-based molecular typing and the optimization of personalized treatment strategies for CRC.</p>
<p>Despite its novel findings, this study is not without limitations. First, it is a single-center investigation with a relatively small sample size and a follow-up period of only two years. These factors may limit the generalizability of the results and restrict the evaluation of long-term prognostic outcomes, such as the 5-year survival rate. Second, the current analysis focused solely on serum samples; validation of LILRB2 and APE1 protein expression at the tissue level through immunohistochemistry (IHC) was not performed. The lack of direct tissue-level verification somewhat weakens the evidence linking these biomarkers to the local tumor microenvironment. Most importantly, the study primarily elucidates the clinical correlations and predictive value of LILRB2 and APE1, without exploring the underlying molecular mechanisms through which they promote CRC progression.</p>
<p>In conclusion, the study confirms that serum levels of LILRB2 and APE1 are markedly elevated in CRC patients and are closely associated with key pathological characteristics and prognosis. These molecules represent promising biomarkers for CRC risk stratification, early diagnosis, and therapeutic planning. The novelty of this research lies in the conceptual and empirical integration of two functional molecules&#x2014;originating from distinct biological pathways&#x2014;into a synergistic predictive framework. This combined model demonstrated superior prognostic performance, with a higher AUC than either single indicator, thereby providing strong evidence for the refinement of CRC prognostic evaluation systems. To overcome current limitations, future studies should involve large-scale, multicenter, prospective cohorts with extended follow-up durations to validate the clinical utility of combined LILRB2 and APE1 detection. Furthermore, IHC analyses of archived tumor tissues could be conducted to verify expression localization and clinical correlations at the tissue level. Complementary <italic>in vitro</italic> experiments should explore the regulatory interactions and mechanistic roles of LILRB2 and APE1 in modulating the malignant phenotype of CRC cells. Ultimately, the establishment of a comprehensive prognostic prediction system that integrates clinical staging, molecular biomarkers, and molecular subtyping may enable individualized risk stratification and guide precision therapy in CRC.</p>
</sec>
</body>
<back>
<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 humans were approved by Tongxiang First People&#x2019;s Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The 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>JL: Investigation, Writing &#x2013; review &amp; editing, Methodology, Writing &#x2013; original draft. XT: Writing &#x2013; review &amp; editing, Methodology, Investigation. MW: Project administration, Writing &#x2013; review &amp; editing, Validation. JT: Validation, Supervision, Writing &#x2013; review &amp; editing, Software.</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="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/663621">Matteo Becatti</ext-link>, University of Firenze, Italy</p></fn>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2423511">Silvia Redondo Garcia</ext-link>, University of Southampton, United Kingdom</p></fn>
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