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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1599022</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>Comparison of clinicopathological characteristics and survival outcomes between solitary and multiple rectal neuroendocrine tumors: a propensity score-matched study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Ye</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Limei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Peng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ji</surname>
<given-names>Rui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3002319/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Gastroenterology, Shandong University Qilu Hospital</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Shandong Provincial Clinical Research Center for Digestive Disease, Shandong University Qilu Hospital</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Gianluca Esposito, Sapienza University of Rome, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Elisabetta Dell&#x2019;Unto, Sapienza University of Rome, Italy</p>
<p>Alessandro Rimondi, Royal Free Hospital, United Kingdom</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jun Liu, <email xlink:href="mailto:liujun0907@163.com">liujun0907@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1599022</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zheng, Wang, Guo, Wang, Ji and Liu</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zheng, Wang, Guo, Wang, Ji and Liu</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>Introduction</title>
<p>Multiple rectal neuroendocrine tumors (RNETs) are rare rectal malignancies, and there is no consensus on their characteristics and treatments. This study aimed to explore the heterogeneity of key morphological parameters in multiple RNETs and to compare the clinicopathological characteristics between multiple and solitary RNETs.</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 15 patients with multiple RNETs and 89 patients with solitary RNETs treated between 2013 and 2024 were retrospectively analyzed using propensity match analysis to determine their clinicopathological characteristics. WHO grade, the expression of basal diagnostic markers (synaptophysin/chromogranin A/CD56), and somatostatin receptor 2 (SSTR2) were analyzed. Disease-free survival rates were calculated using the Kaplan&#x2013;Meier method.</p>
</sec>
<sec>
<title>Results</title>
<p>Multifocal RNETs were characterized by homogeneous WHO grading (93.3%) and concordant SSTR2 expression. The solitary RNETs group had a significantly higher SSTR2 positivity rate (<italic>p</italic> &lt; 0.05) but significantly lower chromogranin A positivity rate than the multiple RNETs group (<italic>p</italic> &lt; 0.05).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Multiple RNETs demonstrate remarkable homogeneity in core diagnostic parameters. However, compared to solitary RNETs, multifocal presentations exhibit a significantly higher propensity for metastasis/recurrence, warranting intensified therapeutic protocols and enhanced clinicopathological surveillance paradigms.</p>
</sec>
</abstract>
<kwd-group>
<kwd>multiple</kwd>
<kwd>rectal neuroendocrine tumor</kwd>
<kwd>endoscopic submucosal dissection</kwd>
<kwd>clinicopathological characteristics</kwd>
<kwd>survival</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="8"/>
<word-count count="3874"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Gastrointestinal Cancers: Colorectal Cancer</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Rectal neuroendocrine tumors (RNETs) are malignant neoplasms arising from enterochromaffin cells of the distal gastrointestinal tract. RNETs have demonstrated a marked epidemiological surge in recent decades, potentially due to the increased use of colonoscopy (<xref ref-type="bibr" rid="B1">1</xref>). RNETs account for 12%&#x2013;27% of gastrointestinal NETs, and the rectum represents the second most frequent anatomical site of origin (<xref ref-type="bibr" rid="B2">2</xref>). While the majority present as solitary lesions, multifocal RNETs constitute a rare clinical entity with reported incidence rates of 2%&#x2013;5.7% (<xref ref-type="bibr" rid="B3">3</xref>). Although multiple RNETs are rare, they are associated with poorer outcomes, including increased lymph node involvement and decreased overall survival, compared to solitary NETs (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Despite these clinical implications, standardized management protocols for multifocal RNETs remain undefined, with current guidelines extrapolated from solitary tumor data. Given the inherent heterogeneity of neuroendocrine tumors, it is unclear whether this variability is also reflected in multiple primaries, particularly in key diagnostic parameters, such as tumor grade and neuroendocrine markers, and therapeutic targets like somatostatin receptor 2 (SSTR2) expression, and how these findings influence current diagnostic approaches for multiple RNETs. This uncertainty complicates clinical decision-making, as comprehensive immunohistochemical profiling of all lesions is resource-intensive and lacks well-established clinical rationale.</p>
<p>The aim of this study was to investigate the variability of crucial morphological and diagnostic indicator features within multiple RNETs and to compare the clinicopathological characteristics between multiple and solitary RNETs.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methodology</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patients and lesions</title>
<p>This retrospective cohort study enrolled patients with pathologically confirmed RNETs undergoing endoscopic resection between 2013 and 2024 at the Department of Gastroenterology at Qilu Hospital of Shandong University. Patients were excluded if they had neuroendocrine carcinomas or incomplete clinicopathological documentation. Institutional Review Board approval for this retrospective report was obtained from the ethics committees of Qilu Hospital, Shandong University (No. KYLL-202306-009). Informed consent was obtained from all participants. In our department, all RNETs scheduled for endoscopic submucosal dissection (ESD) treatment were first evaluated for size via endoscopy and for depth and staging via endoscopic ultrasound (EUS). Before ESD, patients routinely undergo radiological imaging examinations such as CT or MRI to rule out lymph node or distant metastasis. Patients who met the criteria for endoscopic resection (size smaller than 2 cm, EUS stage limited to the T1 stage, and without radiologically detected lymph node or distant metastasis) underwent ESD treatment (<xref ref-type="bibr" rid="B6">6</xref>). The lesions were completely removed and sent for pathological examination.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Clinicopathological data collection</title>
<p>Clinical, pathological, and endoscopic data were retrospectively collected from the inpatient medical record system of the Department of Gastroenterology at Qilu Hospital of Shandong University and the Medikang Digital Gastrointestinal Endoscopy Workstation. Demographic parameters, including gender, age, body mass index (BMI), smoking, and alcohol consumption, were systematically documented. Clinicopathological characteristics such as tumor size, number of lesions, anatomical localization, endoscopic resection method, and histopathological characteristics, as well as treatments, were also recorded. Tumor size was determined through histopathological measurement.</p>
<p>Endoscopic specimens were evaluated by pathologists, and immunohistochemical staining and special staining were performed to confirm the tumor size, the involvement of the excised margins, depth of invasion, and the presence of lymphovascular invasion. Each tumor was graded based on its Ki-67 index according to the WHO criteria (G1, &lt;3%; G2, 3%&#x2013;20%; and G3, &gt;20%). Histologically complete (R0) resection was defined as the microscopic absence of tumor cells at the resection margin. Incomplete resection (R1) was defined as the presence of tumor tissue in the resection margin (vertical or lateral). Indeterminate resection (Rx) was defined as a margin status that could not be assessed because of electrocautery artifacts and inappropriate orientation or fragmentation. For standard diagnostic markers, NETs were classified as positive if they were detected in clumps in the majority of cells, while NETs expressed in scattered single cells (&lt;5%) were classified as focally positive/negative (further referred to as negative).</p>
<p>SSTR2 expression was initially classified into four categories according to the HER2 scoring scheme as proposed by Kasajima et&#xa0;al. (<xref ref-type="bibr" rid="B7">7</xref>). For further analyses, all tumors with an SSTR2 2+/3+ score were assigned to the SSTR2-positive category, while SSTR2 1+ and completely negative NETs were assigned to the SSTR2-negative category. During routine clinicopathological examination post-tumor resection, the most locally advanced tumor was identified as the &#x201c;leading primary NET&#x201d; and was evaluated regarding its Ki-67 index in order to determine the tumor grade according to WHO criteria and the size of lesions, referring to the definitions in previous literature (<xref ref-type="bibr" rid="B8">8</xref>). The leading primary NET served as the reference for our comparative analyses of all multiple tumors.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Follow-up</title>
<p>The follow-up strategy was determined based on the pathological grading and the status of the resection margins. Endoscopy and radiological follow-ups were recommended based on the stages and grades of the lesions. In our center, for RNETs smaller than 1 cm, no follow-up was recommended; for those that are 1 to &lt;2 cm, G2 tumor, or Rx resection, endoscopy and radiological follow-ups at 6 and 12 months were recommended, then as clinically indicated. Among the cases pathologically evaluated as R1 resection or lymphovascular invasion, additional surgery, including lymph node dissection or other salvage treatments, was recommended. The follow-up time was from endoscopic treatment to the latest outpatient visit. The follow-up results were based on the latest outpatient medical record or electronic examination report. Local recurrence was defined as NETs diagnosed at the same site 6 months after the initial resection, whereas metachronous lesions were defined as NETs detected at a site different from the initial rectal tumor 6 months after the initial resection. Disease-free survival (DFS) was defined as the duration from tumor resection to locoregional recurrence, developing metachronous lesions, or distant metastasis.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Normally distributed continuous variables are presented as the mean with standard deviation (SD) and compared using Student&#x2019;s t-test. Non-normally distributed continuous variables were reported as median with an interquartile range (IQR) and compared using the Mann&#x2013;Whitney U test. Categorical variables were compared using the &#x3c7;<sup>2</sup> test or Fisher&#x2019;s exact test.</p>
<p>Propensity score matching (PSM) was adopted for comparing the disease-free survival analysis between the solitary and multiple rectal neuroendocrine groups and to minimize selection bias. The matching ratio was 4:1, and the caliper value was set to 0.05. The nearest-neighbor method was used for PSM analysis. Survival curves were generated using the Kaplan&#x2013;Meier method and were compared using the log-rank test. A two-tailed <italic>p</italic>-value &lt;0.05 was considered statistically significant. All statistical analyses were conducted using SPSS 25.0 (SPSS Inc., Chicago, IL, USA) and R version 4.4.0 (R Foundation for Statistical Computing, Vienna, Austria).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Patients and lesions</title>
<p>A total of 205 patients were considered for inclusion in this study, including 189 patients with solitary RNETs (group A) and 16 patients with multiple RNETs (group B). However, 100 patients in group A and one patient in group B were excluded because of incomplete clinicopathological data. Finally, 15 patients with multiple RNETs and 89 patients with single RNETs were included in the study. The multifocal group contained 35 lesions, including 12 patients with two lesions, two with three lesions, and one with five lesions. After preoperative endoscopic evaluation, all lesions were found to be smaller than 2 cm. Ultrasonography showed that all lesions were confined to the T1 stage, which met the indications for endoscopic treatment. All patients underwent ESD as the primary treatment (<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>Incidence of multiple lesions in rectal neuroendocrine tumor patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">No. of tumors</th>
<th valign="top" align="center">No. of patients</th>
<th valign="top" align="center">No. of lesions</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">24</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">5</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">35</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Clinicopathological characteristics of multiple RNETs</title>
<p>Endoscopic evaluation revealed predominantly flat-type submucosal yellowish-white protrusions (80%) without ulceration. Red vascular patterns were observed in 6.7% (1/15) of cases.</p>
<p>The median age of the patients was 50 years (IQR, 44.0&#x2013;53.5). Ten patients were male (66.7%), and five patients were female. The median tumor size was 0.6 cm (IQR, 0.5&#x2013;0.7 cm). Macroscopically, 80% of the tumors were of the flat type. Most tumor invasion was confined to the submucosal layer in all patients, and no lymphovascular invasion was identified (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). More detailed clinicopathological characteristics of the multiple rectal NETs are presented in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The figure shows two flat, yellowish lesions in the rectum <bold>(A)</bold>, and endoscopic ultrasound reveals that the lesions are located in the submucosal layer <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1599022-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Clinicopathological characteristics of solitary rectal neuroendocrine tumors (group A) and multiple rectal neuroendocrine tumors (group B).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variable</th>
<th valign="middle" colspan="2" align="center">Before PSM</th>
<th valign="middle" align="center">
</th>
<th valign="middle" colspan="2" align="center">After PSM</th>
<th valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="center">A (n = 89)</th>
<th valign="middle" align="center">B (n = 15)</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">A (n = 32)</th>
<th valign="middle" align="center">B (n = 14)</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age, years, M (IQR)</td>
<td valign="middle" align="center">51.0<break/>(45.0&#x2013;59.0)</td>
<td valign="middle" align="center">50.0<break/>(44.0&#x2013;53.5)</td>
<td valign="middle" align="center">0.338</td>
<td valign="middle" align="center">53.5<break/>(43.0&#x2013;62.0)</td>
<td valign="middle" align="center">51.0<break/>(45.0&#x2013;55.0)</td>
<td valign="middle" align="center">0.610</td>
</tr>
<tr>
<td valign="middle" align="left">Gender, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.885</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.624</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">28 (31.5)</td>
<td valign="middle" align="center">5 (33.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7 (21.9)</td>
<td valign="middle" align="center">4 (28.6)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="center">61 (68.5)</td>
<td valign="middle" align="center">10 (66.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">25 (78.1)</td>
<td valign="middle" align="center">10 (71.4)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">BMI, kg/m<sup>2</sup>, mean &#xb1; SD</td>
<td valign="middle" align="center">25.2 &#xb1; 3.6</td>
<td valign="middle" align="center">25.1 &#xb1; 2.9</td>
<td valign="middle" align="center">0.962</td>
<td valign="middle" align="center">24.7 &#xb1; 3.4</td>
<td valign="middle" align="center">24.6 &#xb1; 3.3</td>
<td valign="middle" align="center">0.986</td>
</tr>
<tr>
<td valign="middle" align="left">Smoker, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.774</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.748</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Never</td>
<td valign="middle" align="center">61 (68.5)</td>
<td valign="middle" align="center">11 (73.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">21 (65.6)</td>
<td valign="middle" align="center">10 (71.4)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Current and past</td>
<td valign="middle" align="center">28 (31.5)</td>
<td valign="middle" align="center">4 (26.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">11 (34.4)</td>
<td valign="middle" align="center">4 (28.6)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Drinker, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.514</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.093</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Never</td>
<td valign="middle" align="center">61 (68.5)</td>
<td valign="middle" align="center">9 (60.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">20 (62.5)</td>
<td valign="middle" align="center">5 (35.7)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Current and past</td>
<td valign="middle" align="center">28 (31.5)</td>
<td valign="middle" align="center">6 (40.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">12 (37.5)</td>
<td valign="middle" align="center">9 (64.3)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Size, cm, M (IQR)</td>
<td valign="middle" align="center">0.7 (0.5&#x2013;0.8)</td>
<td valign="middle" align="center">0.6 (0.5&#x2013;0.7)</td>
<td valign="middle" align="center">0.262</td>
<td valign="middle" align="center">0.7 (0.5&#x2013;0.8)</td>
<td valign="middle" align="center">0.6 (0.5&#x2013;0.7)</td>
<td valign="middle" align="center">0.359</td>
</tr>
<tr>
<td valign="middle" align="left">Location, cm, M (IQR)<break/>(distance from AV)</td>
<td valign="middle" align="center">6.0 (5.0&#x2013;8.0)</td>
<td valign="middle" align="center">7.0 (5.0&#x2013;9.0)</td>
<td valign="middle" align="center">0.247</td>
<td valign="middle" align="center">6.0 (5.0&#x2013;8.0)</td>
<td valign="middle" align="center">7.0 (5.0&#x2013;10.0)</td>
<td valign="middle" align="center">0.156</td>
</tr>
<tr>
<td valign="middle" align="left">Morphology, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.005</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.556</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Protruded</td>
<td valign="middle" align="center">42 (47.2)</td>
<td valign="middle" align="center">7 (20.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">10 (31.3)</td>
<td valign="middle" align="center">5 (23.8)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Flat</td>
<td valign="middle" align="center">47 (52.8)</td>
<td valign="middle" align="center">28 (80.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">22 (68.7)</td>
<td valign="middle" align="center">16 (76.2)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Tumor grade, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.000</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.249</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;G1</td>
<td valign="middle" align="center">82 (92.1)</td>
<td valign="middle" align="center">32 (91.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">28 (87.5)</td>
<td valign="middle" align="center">21 (100.0)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;G2</td>
<td valign="middle" align="center">7 (7.9)</td>
<td valign="middle" align="center">3 (8.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4 (12.5)</td>
<td valign="middle" align="center">0 (0.0)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AV, anal verge; BMI, body mass index; IQR, interquartile range; M, median; PSM, propensity score matching.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Pathological, immunohistochemical, and special staining findings</title>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Comparative analysis of WHO grade in multiple RNETs</title>
<p>The majority of tumors (32/35; 91.4%) were classified as G1 based on the Ki-67 index, while three tumors (3/35, 8.6%) were classified as G2. Among the leading primary NETs, 13 of 15 (86.7%) were G1, while two (13.3%) were G2. All synchronous NETs exhibited the same grade (G1, n = 13; G2, n = 1) in 93.3% (14/15) of all patients (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Only one patient demonstrated a discrepancy, where a G2 leading primary NET was accompanied by smaller synchronous G1 NETs.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Number of divergent NETs compared to the leading primary NETs for tumor grade. NETs, neuroendocrine tumors.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1599022-g002.tif"/>
</fig>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>Expression of standard diagnostic markers in multiple RNETs</title>
<p>Syn and CD56 were diffusely expressed in all tumors. Among the 15 leading primary NETs, nine (60.0%) were positive for chromogranin A (CgA), while six (40.0%) were negative. The overall CgA positivity rate was 51.4% in all lesions. The expression of Syn, CgA, and CD56 did not vary between the leading primary NETs and the synchronous NETs.</p>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>SSTR2 expression in multiple RNETs</title>
<p>Ten of 15 (66.7%) of the leading primary NETs were categorized as SSTR2-positive, and five (33.3%) were SSTR2-negative. The overall SSTR2 positivity rate was 65.7% in all lesions. No difference in SSTR2 expression was noted between the leading primary NET and the smaller synchronous NETs.</p>
</sec>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Characteristics of solitary and multiple RNETs</title>
<p>The clinical differences between the groups are summarized in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Macroscopically, group B was more likely to contain flat-type tumors compared to group A (80.0% vs. 52.8%, <italic>p</italic> &lt; 0.05). However, there were no significant differences with respect to the presence of solitary and multiple tumors in other features. In the matched cohort (Group A, n = 32; Group B, n = 14), the selected variables were balanced across the two groups (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In group B, 21 lesions were identified among 14 patients.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Comparison of prognostic factors associated with solitary and multiple rectal tumors</title>
<p>
<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> summarizes the prognostic factors in the matched solitary and multiple NET groups. The SSTR2 positivity rate was significantly higher in group A compared to group B (84.4% vs. 57.1%, <italic>p</italic> &lt; 0.05). Conversely, the positivity rate of CgA was significantly higher in group B than in group A (57.1% vs. 21.9%, <italic>p</italic> &lt; 0.05). However, there were no significant differences in platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) between the two groups (<italic>p</italic> &gt; 0.05).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Comparison of prognostic factors associated with solitary (group A) and multiple (group B) rectal neuroendocrine tumors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Prognostic Factors</th>
<th valign="top" colspan="2" align="center">Before PSM</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="middle" colspan="2" align="center">After PSM</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
</tr>
<tr>
<th valign="middle" align="center">A (n = 89)</th>
<th valign="top" align="center">B (n = 15)</th>
<th valign="top" align="center"/>
<th valign="middle" align="center">A (n = 32)</th>
<th valign="middle" align="center">B (n = 14)</th>
<th valign="middle" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">NLR, M (IQR)</td>
<td valign="top" align="center">2.0 (1.4&#x2013;2.5)</td>
<td valign="top" align="center">2.2 (1.4&#x2013;2.9)</td>
<td valign="top" align="center">0.239</td>
<td valign="middle" align="center">2.0 (1.5&#x2013;2.6)</td>
<td valign="middle" align="center">2.4 (1.6&#x2013;3.0)</td>
<td valign="middle" align="center">0.076</td>
</tr>
<tr>
<td valign="middle" align="left">PLR, M (IQR)</td>
<td valign="top" align="center">134.1 (110.5&#x2013;162.7)</td>
<td valign="top" align="center">128.87 (92.0&#x2013;186.8)</td>
<td valign="top" align="center">0.735</td>
<td valign="middle" align="center">131.5 (118.2&#x2013;146.7)</td>
<td valign="middle" align="center">145.2 (97.6&#x2013;189.8)</td>
<td valign="middle" align="center">0.484</td>
</tr>
<tr>
<td valign="middle" align="left">CgA, n (%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.009</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Negative</td>
<td valign="top" align="center">76 (85.4)</td>
<td valign="top" align="center">17 (48.6)</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">25 (78.1)</td>
<td valign="middle" align="center">9 (42.9)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Positive</td>
<td valign="top" align="center">13 (14.6)</td>
<td valign="top" align="center">18 (51.4)</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">7 (21.9)</td>
<td valign="middle" align="center">12 (57.1)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">SSTR2, n (%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.100</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.028</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Negative</td>
<td valign="top" align="center">18 (20.2)</td>
<td valign="top" align="center">12 (34.3)</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">5 (15.6)</td>
<td valign="middle" align="center">9 (42.9)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Positive</td>
<td valign="top" align="center">71 (79.8)</td>
<td valign="top" align="center">23 (65.7)</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">27 (84.4)</td>
<td valign="middle" align="center">12 (57.1)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>ESD resection outcomes of multiple RNETs</title>
<p>The histological complete resection rate (R0) of multiple RNETs was 68.6% (24/35), 11.4% (4/35) R1 resection (two lesions with positive horizontal margins and two with positive vertical margins), and 20% (7/35) Rx resection. As for the safety of ESD procedures, none of the 15 patients in group B had intraoperative complications, including bleeding or perforation.</p>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Clinical outcomes during follow-up</title>
<p>The overall median follow-up period was 20 months (range, 3&#x2013;60). None of the patients in group A developed recurrence or metastasis. One of the 15 patients in group B developed local recurrence with local lymph node metastasis (LNM). This patient had two tumors (G1 and G2), each measuring less than 10 mm in diameter, with Rx margins and no muscular invasion. After endoscopic resection, the patient was treated with growth inhibitor analogs.</p>
<p>Additionally, metachronous rectal NETs were diagnosed in two patients with both G1 lesions, one of whom also had local LNM. The patient with LNM did not receive further treatment or evaluation. One patient with postoperative pathology showing G2 in all lesions and R0 margins has undergone three follow-up colonoscopies to date, none of which indicated recurrence or metachronous lesions. However, somatostatin receptor scintigraphy revealed multiple bone concentrations suggestive of bone metastasis, and the patient was subsequently treated with somatostatin analogs. The clinicopathological characteristics of these patients are detailed in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>. There was a significant difference in DFS between the two groups (<italic>p</italic> = 0.0003) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Clinicopathological characteristics of patients who developed recurrence, metastasis, or metachronous rectal neuroendocrine tumors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">No.</th>
<th valign="top" align="left">Depth of invasion</th>
<th valign="top" align="left">Resection margin</th>
<th valign="top" align="left">Grade</th>
<th valign="top" align="left">Ki-67</th>
<th valign="top" align="left">Lympho-vascular invasion</th>
<th valign="top" align="left">Types of recurrence or metastasis</th>
<th valign="top" align="left">Mode of initial treatment</th>
<th valign="top" align="left">Salvage treatment</th>
<th valign="top" align="left">Time interval (months)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Submucosal</td>
<td valign="top" align="left">R0, R0</td>
<td valign="top" align="left">2, 2</td>
<td valign="top" align="left">4%, 3%</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Metastasis</td>
<td valign="top" align="left">ESD</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">31</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Submucosal</td>
<td valign="top" align="left">R0, R0</td>
<td valign="top" align="left">1, 1</td>
<td valign="top" align="left">1%,<break/>1%</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Metachronous</td>
<td valign="top" align="left">ESD</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">22</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Submucosal</td>
<td valign="top" align="left">R0, Rx</td>
<td valign="top" align="left">1, 1</td>
<td valign="top" align="left">1%, 1%</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Metachronous</td>
<td valign="top" align="left">ESD</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">6</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Submucosal</td>
<td valign="top" align="left">Rx, Rx</td>
<td valign="top" align="left">1, 2</td>
<td valign="top" align="left">1%, 5%</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Recurrence</td>
<td valign="top" align="left">ESD</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">16</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>R0, complete resection; R1, incomplete resection; Rx, indeterminate resection.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Disease-free survival curve for patients with single RNETs (group A: solid line) and those with multiple RNETs (group B: dotted line). RNETs, rectal neuroendocrine tumors.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1599022-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Previous research has indicated that immunohistochemistry is not required for all multifocal jejunoileal neuroendocrine tumors (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). The primary aim of this study was to assess whether immunohistochemistry should be systematically applied to all multiple RNETs, considering the balance between efficiency, cost-effectiveness, accuracy, and optimal patient care. Our findings revealed that tumor grade is consistent in approximately 93.3% of multiple RNETs. Only one case exhibited inconsistency in synchronous primaries, where the routine pathology of the &#x201c;leading primary NET&#x201d; was G2 with a smaller G1 lesion. This observation is consistent with previous studies indicating a correlation between tumor size and grade (<xref ref-type="bibr" rid="B10">10</xref>). Despite minor discrepancies in synchronous primaries, assessing the grade of the largest RNET was sufficient to accurately represent the overall proliferative activity in multiple RNETs.</p>
<p>Somatostatin exerts inhibitory effects on endocrine and exocrine secretion, angiogenesis, and cellular proliferation, primarily through interactions with SSTRs. Among the five subtypes of SSTRs, SSTR2 is the most frequently expressed in NETs (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). In the present study, SSTR2 expression was observed in 65.7% of patients with multiple RNETs, with no discordant SSTR2 expression detected between the primary tumor and synchronous lesions. However, in the matched set, we found that the SSTR2 positivity rate was higher in solitary RNETs (84.4%) than in multiple RNETs (57.1%) (<italic>p</italic> &lt; 0.05). SSTR2 expression is significantly associated with favorable clinical behavior and improved overall survival in patients with RNETs. In cases of metastatic disease, SSTR2 expression may serve as a potential target for somatostatin analog therapy (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>The expression of synaptophysin and CD56 was observed in all lesions, whereas CgA was expressed in 60.0% of patients with multiple RNETs. No differences in the expression of these markers were noted between primary and synchronous NETs. In the matched set, multiple RNETs had a high rate of CgA positivity (57.1%) compared to solitary RNETs (21.9%) (<italic>p</italic> &lt; 0.05). Previous studies have reported that CgA positivity in RNETs ranges from 20.8% to 30%, which is lower than the prevalence of synaptophysin-positive cases (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Overexpression of CgA is associated with a pro-tumoral effect and is linked to poorer prognosis in many NETs (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Our current study found that multiple RNETs had higher expression compared to solitary RNETs. Future research with larger sample sizes and investigation into molecular mechanisms should be conducted to clarify the correlation of this phenomenon with the treatment and prognosis of the two types of tumors.</p>
<p>During a median follow-up of 20 months, regional LNM was observed in two patients (13.3%), both of whom experienced local recurrence and metachronous lesions. Additionally, distant metastases occurred in one patient (6.7%), while another patient (6.7%) developed only metachronous lesions. Notably, the tumor sizes in patients with local recurrence or metachronous lesions were all less than 10 mm, except for the patient with distant metastases, who had one lesion larger than 10 mm. Recurrence of NETs smaller than 10 mm has been documented in several previous studies (<xref ref-type="bibr" rid="B18">18</xref>). Numerous studies have demonstrated that the number of RNETs is associated with LNM (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Specifically, multiple RNETs smaller than 10 mm exhibit a higher incidence of LNM (10%&#x2013;22.7%) compared to solitary tumors of similar size (<xref ref-type="bibr" rid="B20">20</xref>). Therefore, the number of RNETs appears to be correlated with LNM, independent of tumor size.</p>
<p>Given the elevated risk of LNM in multiple NETs, their surveillance and treatment strategies should differ from those employed for solitary rectal NETs (<xref ref-type="bibr" rid="B20">20</xref>). Endoscopic resection techniques, including endoscopic mucosal resection and endoscopic submucosal dissection, are recommended for NETs measuring less than 10 mm. However, the submucosal nature of RNETs often results in incomplete endoscopic resection. Several studies have reported good complete resection rates and short-term results after the endoscopic resection of solitary RNETs (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>) and multiple RNETs smaller than 10 mm (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). The Rx and R1 resection rates in this study are relatively high at 31.4%, which may not be consistent with the previous studies. The possible reasons are as follows: first, the definition of Rx resection for rectal neuroendocrine tumors varies across different literature. In this study, the definition of Rx resection is relatively broad, including cases where the resection margin is close to the tumor, which may account for the relatively high Rx resection rate observed. Second, in our study, the sample size of multiple RNETs was relatively small. Further studies with larger sample sizes on endoscopic treatment and follow-up for this type of disease are still needed. Third, there is also significant variation in lesion size and number in previous works of literature, making it difficult to reach a consensus on the management strategy for this type of disease. Currently, there is still controversy regarding the treatment strategies for multiple rectal neuroendocrine tumors. Therefore, large-sample prospective studies are still needed in the future to verify the optimal treatment strategies for tumors with malignant potential, such as comparative studies between transanal endoscopic microsurgery and endoscopic treatment (<xref ref-type="bibr" rid="B26">26</xref>). There are currently no standardized guidelines for the surveillance of multiple RNETs. Nevertheless, for patients with multiple RNETs, more frequent and continuous endoscopic monitoring may be warranted to prevent the oversight of residual NET lesions and to detect local recurrences.</p>
<p>This study has some limitations. First, the study represents the limited experiences of a single center, and the number of cases with multiple RNETs was relatively small. Second, as a retrospective study, selection bias may have influenced the choice of treatment procedures. Therefore, a large prospective randomized controlled trial is needed to investigate critical characteristics of multiple RNETs. Finally, this study had a high loss to follow-up rate and a short follow-up period. However, due to the slow growth of RNETs, it is difficult to evaluate the long-term recurrence or survival outcomes after endoscopic resection (<xref ref-type="bibr" rid="B5">5</xref>). As a result, the study did not identify the factors associated with the survival of patients with multiple NETs, an issue that should also be investigated in future studies.</p>
<p>In conclusion, through our small-sample study, multiple RNETs demonstrated a high degree of consistency in core diagnostic indicators. Although large-scale studies are still needed for validation, this finding may potentially pave the way for reducing extensive special staining for each lesion in multiple RNETs in the future. However, compared to solitary RNETs, multifocal presentations exhibit a significantly higher propensity for metastasis/recurrence, warranting intensified therapeutic protocols and enhanced clinicopathological surveillance paradigms.</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 the Ethics committees of Qilu Hospital, Shandong University (No. KYLL - 202306 - 62 009). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements. This retrospective study utilizes medical records and clinical data obtained from previous clinical diagnoses and treatments, and has applied for exemption from informed consent.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YZ: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Data curation. LW: Writing &#x2013; review &amp; editing, Resources. JG: Resources, Writing &#x2013; review &amp; editing. PW: Resources, Writing &#x2013; review &amp; editing. RJ: Writing &#x2013; review &amp; editing, Funding acquisition, Resources. JL: Visualization, Data curation, Writing &#x2013; original draft, Conceptualization, Formal analysis, Supervision, Methodology, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Taishan Scholars Program of Shandong Province (tsqn202312333) and the General Program of the National Natural Science Foundation of China (grant no. 82470695).</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>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
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