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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2023.1205631</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Expression of neuroendocrine markers predicts increased survival in triple-negative breast cancer patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xia</surname><given-names>Chuan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2161964"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shen</surname><given-names>Songjie</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1638319"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pang</surname><given-names>Junyi</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1616305"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname><given-names>Longyun</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1616299"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yan</surname><given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2587041"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liang</surname><given-names>Zhiyong</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/911919"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ren</surname><given-names>Xinyu</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/620099"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Breast Surgery, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Zhiyan Liu, Shanghai Jiao Tong University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Alessandro Rizzo, National Cancer Institute Foundation (IRCCS), Italy; Shazia Bano, Harvard Medical School, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zhiyong Liang, <email xlink:href="mailto:liangzy@pumch.cn">liangzy@pumch.cn</email>; Xinyu Ren, <email xlink:href="mailto:renxy@pumch.cn">renxy@pumch.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1205631</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Xia, Shen, Pang, Chen, Yan, Liang and Ren</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Xia, Shen, Pang, Chen, Yan, Liang and Ren</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The significance of neuroendocrine (NE) markers in triple-negative breast cancer (TNBC) patients has not been investigated. This study aims to clarify the incidence and prognostic significance of NE marker expression in TNBC, determine its association with other clinicopathological parameters, and further explore the pathological features and potential treatment options for TNBC patients expressing NE markers.</p>
</sec>
<sec>
<title>Methods</title>
<p>Clinicopathological data were collected from 396 TNBC patients undergoing radical breast cancer surgery at Peking Union Medical College Hospital from January 2002 to December 2014, with a final follow-up in July 2019. Immunohistochemistry (IHC) staining was performed for NE markers including chromogranin A (CgA) and synaptophysin (Syn). For TNBC patients with positive NE marker expression, IHC staining was then performed for alpha-thalassemia/mental retardation X-linked (ATRX), O(6)-methylguanine-methyltransferase (MGMT), somatostatin receptor 2 (SSTR2), and programmed death receptor-ligand 1 (PD-L1). The chi-square or Fisher exact test was used to evaluate the correlations between NE marker expression and other parameters. Survival curves were plotted using the Kaplan-Meier (K-M) method to assess the prognostic significance of NE markers in TNBC.</p>
</sec>
<sec>
<title>Results</title>
<p>NE marker-positive staining was observed in 7.6% (30/396) of all TNBC cases. Only 0.5% (2/396) cases had &#x2265; 90% neoplastic cells expressing NE markers. Positive NE marker expression was associated with negative basal-like marker expression. K-M survival analysis showed that the NE marker-positive TNBC patients had higher disease-free survival (DFS) rates than the NE marker-negative patients at the same stage. Among the 30 NE marker-positive TNBC cases, 13.3% and 26.7% showed negative IHC staining for ATRX and MGMT, respectively, while 13.3% had a 3+ score for SSTR2 IHC staining. For PD-L1 IHC staining, 13.3% of the 30 TNBC cases were higher than 10 scores in Combined Positive Score (CPS), and 10.0% were higher than 10% in Tumor Cell Proportion Score (TPS).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>There was a small proportion of TNBC patients expressing NE markers. TNBC patients with positive NE marker expression had a better prognosis than the negative group at the same stage. TNBC cases with positive NE marker expression may potentially benefit from immunotherapy or somatostatin analogue treatment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>triple-negative breast cancer</kwd>
<kwd>synaptophysin</kwd>
<kwd>chromogranin A</kwd>
<kwd>neuroendocrine markers</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="13"/>
<word-count count="5001"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Triple-negative breast cancer (TNBC) is a highly aggressive breast cancer subtype that has heterogeneous clinical and molecular characteristics (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Approximately 12% to 17% of breast cancer cases are TNBC, defined as tumors that lack expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor type 2 (HER2) (<xref ref-type="bibr" rid="B3">3</xref>). The lack ER and PR expression makes it difficult for TNBC patients to benefit from endocrine therapy, while the negative expression of HER2 prevents effective targeted therapy. This results in worse prognosis for TNBC patients compared with other breast cancer subtypes. Therefore, identifying and validating novel targeted therapies and prognostic indicators for TNBC has become an urgent need for breast cancer research.</p>
<p>The prognostic significance of neuroendocrine (NE) differentiation in breast cancer has been controversial, partially because the classification criteria for neuroendocrine neoplasms (NENs) have evolved over the years or the limited numbers of NEN cases in breast cancer. Neuroendocrine carcinoma (NEC) of the breast was formally proposed as a distinct entity in 2003, defined as a subtype of invasive mammary carcinoma in which &gt;50% of the tumor cells express NE markers (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). The most commonly used NE markers in the breast include synaptophysin (Syn) or chromogranin A (CgA) (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). The 2012 WHO Classification later stated that the 50% threshold for NE marker positivity was no longer required because of its arbitrary nature as a criterion (<xref ref-type="bibr" rid="B6">6</xref>). The newly published WHO Classification in 2019 emphasized that the key features of NENs are neuroendocrine histological features and expression of NE markers (<xref ref-type="bibr" rid="B8">8</xref>). Some cohort studies have explored the prognostic significance of NE markers in breast cancer. The majority of the studies have shown that breast cancer patients with NE features have worse prognoses compared with those without NE features (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>), while some studies have reported better prognoses (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>) or no significant difference (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Currently, there were no reports about the prognosis of TNBC patients with NE marker expression.</p>
<p>The first-line therapy for NENs in breast cancer is mostly surgery combined with or without adjuvant radiotherapy, chemotherapy, or neoadjuvant chemotherapy. This is based on the therapeutic principles of other types of breast cancer, and the cases were treated with endocrine or targeted therapy according to the ER/PR and HER2 status. However, the relevant studies for the therapy of NENs in breast cancer are mainly case reports or case series (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). In recent years, several studies have identified immunohistochemistry (IHC) markers that have prognostic or therapeutic significance for NENs, including ATRX, MGMT, SSTR2, and PD-L1 (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). However, there are no studies on therapeutic regimen for NENs in TNBC. It remains to be explored whether TNBCs with positive expression of NE markers can be treated as NENs at any other anatomical site.</p>
<p>Thus, we utilized two most common used NE markers, Syn and CgA, to evaluate their expression levels in TNBC patients and observe their correlations with clinicopathological parameters. Additionally, we sought to determine the prognostic significance of NE marker expression in TNBC patients and explore the potential treatment options for such individuals.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Case enrollment and clinicopathological data acquisition</title>
<p>Breast cancer patients who underwent radical surgery at Peking Union Medical College Hospital from January 2002 to December 2014 and were diagnosed with TNBC (both ER and PR were negative by IHC and HER2 was 0 or 1+ score by IHC or 2+ score without gene amplification confirmed by fluorescent <italic>in situ</italic> hybridization (FISH)) were enrolled in the study consecutively, with final follow-up in July 2019. The exclusion criteria were as follows: (1) the amount of tumor tissue was insufficient for IHC staining; (2) the survival status and dates of recurrence or death (if any) could not be determined at the time of registration or during follow-up; (3) neoadjuvant treatment was administered before surgery; and (4) distant metastasis occurred before the patient underwent surgery. Clinicopathological data, including age, operation date, operation method, radiotherapy or chemotherapy regimens, tumor size, number of lymph nodes metastases, stage, histological type, histological grade, P53 expression, Ki-67 expression, and basal-like phenotype (defined as positive for CK5/6, CK14, and/or EGFR expression), were collected by reviewing pathology databases and medical records. Follow-up information was acquired by telephone or referring to medical records. The end points included: (1) recurrence of breast cancer (local recurrence or distant metastasis) and (2) death caused by breast cancer. Disease-free survival (DFS) and overall survival (OS) were defined as the period from the date of surgery to recurrence of breast cancer and to breast cancer-related death, respectively. The study was approved by the Ethics Committee of Peking Union Medical College Hospital and informed consent was obtained from patients.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>IHC staining</title>
<p>IHC staining for NE markers, including CgA and Syn, was performed on 4 &#xb5;m-thick sections of TNBC samples using a Ventana Benchmark XT autostainer (Ventana Medical Systems Inc., Tucson, AZ, USA). IHC staining for ATRX, MGMT, SSTR2, and PD-L1 (22C3) was then performed on TNBC samples that showed positive expression of NE markers. All staining steps were performed following the manufacturer&#x2019;s instructions. Antibody information and the respective optimized assay conditions are listed in <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>Antibodies used for the immunohistochemistry staining.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Antibody</th>
<th valign="top" align="left">Clone</th>
<th valign="top" align="left">Dilution</th>
<th valign="top" align="left">Source</th>
<th valign="top" align="left">Positive pattern</th>
<th valign="top" align="left">Positive control</th>
<th valign="top" align="left">Heat-induced antigen retrieval</th>
<th valign="top" align="left">Incubation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Syn</td>
<td valign="top" align="left">Mouse monoclonal antibody (27G12)</td>
<td valign="top" align="left">Prediluted</td>
<td valign="top" align="left">Leica Biosystem</td>
<td valign="top" align="left">Cytoplasmic staining</td>
<td valign="top" align="left">Pancreas</td>
<td valign="top" align="left">100&#xb0;C<break/>30min</td>
<td valign="top" align="left">RT*<break/>15min</td>
</tr>
<tr>
<td valign="top" align="left">CgA</td>
<td valign="top" align="left">Mouse monoclonal antibody (LK2H10)</td>
<td valign="top" align="left">Prediluted</td>
<td valign="top" align="left">ZSGB-BIO</td>
<td valign="top" align="left">Cytoplasmic staining</td>
<td valign="top" align="left">Pancreas</td>
<td valign="top" align="left">100&#xb0;C<break/>30min</td>
<td valign="top" align="left">RT<break/>15min</td>
</tr>
<tr>
<td valign="top" align="left">ATRX</td>
<td valign="top" align="left">rabbit polyclonal antibody</td>
<td valign="top" align="left">Prediluted</td>
<td valign="top" align="left">Dako</td>
<td valign="top" align="left">Nuclear staining</td>
<td valign="top" align="left">Tonsil</td>
<td valign="top" align="left">100&#xb0;C<break/>30min</td>
<td valign="top" align="left">RT<break/>40min</td>
</tr>
<tr>
<td valign="top" align="left">MGMT</td>
<td valign="top" align="left">SD9</td>
<td valign="top" align="left">Prediluted</td>
<td valign="top" align="left">Roche</td>
<td valign="top" align="left">Nuclear and/or cytoplasmic staining</td>
<td valign="top" align="left">Tonsil</td>
<td valign="top" align="left">100&#xb0;C<break/>30min</td>
<td valign="top" align="left">36&#xb0;C<break/>16min</td>
</tr>
<tr>
<td valign="top" align="left">SSTR2</td>
<td valign="top" align="left">rabbit monoclonal antibody (EP149)</td>
<td valign="top" align="left">Prediluted</td>
<td valign="top" align="left">Dako</td>
<td valign="top" align="left">Membrane staining</td>
<td valign="top" align="left">Meningioma</td>
<td valign="top" align="left">100&#xb0;C<break/>30min</td>
<td valign="top" align="left">RT<break/>40min</td>
</tr>
<tr>
<td valign="top" align="left">PD-L1</td>
<td valign="top" align="left">Murine monoclonal antibody (22C3)</td>
<td valign="top" align="left">Prediluted</td>
<td valign="top" align="left">Dako</td>
<td valign="top" align="left">Membrane staining</td>
<td valign="top" align="left">Placenta</td>
<td valign="top" align="left">100&#xb0;C<break/>30min</td>
<td valign="top" align="left">37&#xb0;C<break/>16min</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*RT, room temperature.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>IHC slides were independently evaluated by two experienced pathologists. Both the staining intensity and percentage of positive tumor cells were recorded for Syn, CgA, ATRX, and MGMT. The SSTR2 staining results were given a score of 0, 1+, 2+, or 3+ in reference to the HER2 evaluation guidelines (<xref ref-type="bibr" rid="B31">31</xref>). The PD-L1 IHC staining results were interpreted by both TPS% and CPS in reference to the PD-L1 IHC 22C3 pharmDx Interpretation Manual. The average value was used when there were discrepancies between the two pathologists. Positive IHC staining for Syn and/or CgA was considered as positive for NE markers.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analysis</title>
<p>The correlation analysis between NE marker expression and other clinicopathological parameters in TNBC was performed using the chi-square or Fisher exact test. A two-sided <italic>P</italic>-value &lt; 0.05 was considered statistically significant. Kaplan-Meier (K-M) survival analysis and the log-rank test were used to analyze the effects of NE markers on DFS and OS of TNBC patients. Statistical analysis was performed using SPSS 25.0 software (SPSS, Chicago, IL, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Clinicopathological characteristics of TNBC patients</title>
<p>A total of 455 TNBC patients were consecutively included in this cohort study, of which 32 cases were lost to follow-up. The remaining 423 cases which had partial or complete clinicopathological data were included in the statistical analysis. Among these 423 cases, 27 cases had no NE marker IHC results because of insufficient amounts of tumor tissue. These cases were excluded from further correlation analyses, leaving 396 cases to be counted.</p>
<p>The 423 TNBC patients were all female, with a mean age at diagnosis of 49.8 years (range: 25&#x2013;90 years). The clinicopathological features are shown in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>. The histological type of 409 cases (96.7%) was invasive breast carcinoma of no specific type (IBC-NST). Additionally, 302 cases (71.4%) were grade 3 and only 1.2% were grade 1.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Clinicopathological features of 423 TNBC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Clinicopathological parameters</th>
<th valign="top" align="left">N (%)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="2" align="left">Age (years)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;50</td>
<td valign="top" align="left">222 (52.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;50</td>
<td valign="top" align="left">197 (46.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">4 (0.9)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Surgical methods</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Modified radical mastectomy</td>
<td valign="top" align="left">367 (86.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other</td>
<td valign="top" align="left">54 (12.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">2 (0.5)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Adjuvant chemotherapy</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">331 (78.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">55 (13.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">37 (8.7)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Adjuvant radiotherapy</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">122 (28.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">264 (62.4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">37 (8.7)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Tumor size</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;2cm</td>
<td valign="top" align="left">196 (46.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt; 2cm, &#x2264; 5cm</td>
<td valign="top" align="left">206 (48.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt; 5cm</td>
<td valign="top" align="left">20 (4.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">1 (0.2)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">No. of lymph nodes metastases</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="left">236 (55.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1-3</td>
<td valign="top" align="left">97 (22.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;4-9</td>
<td valign="top" align="left">36 (8.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;10</td>
<td valign="top" align="left">48 (11.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">6 (1.4)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Stage</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;I</td>
<td valign="top" align="left">132 (31.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;II</td>
<td valign="top" align="left">204 (48.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;III</td>
<td valign="top" align="left">87 (20.6)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Histological type</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IBC-NST</td>
<td valign="top" align="left">409 (96.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other</td>
<td valign="top" align="left">13 (3.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Invasive lobular carcinoma</td>
<td valign="top" align="left">5</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mixed IBC-NST and lobular carcinoma</td>
<td valign="top" align="left">3</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Invasive micropapillary carcinoma</td>
<td valign="top" align="left">3</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Micropapillary mucinous carcinoma</td>
<td valign="top" align="left">2</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">1 (0.2)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Grade</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Grade 1</td>
<td valign="top" align="left">5 (1.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Grade 2</td>
<td valign="top" align="left">115 (27.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Grade 3</td>
<td valign="top" align="left">302 (71.4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">1 (0.2)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">P53</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive</td>
<td valign="top" align="left">237 (56.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="left">184 (43.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">2 (0.5)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Ki-67%</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;14%</td>
<td valign="top" align="left">45 (10.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;14%</td>
<td valign="top" align="left">364 (86.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">14 (3.3)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Basal-like markers</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive</td>
<td valign="top" align="left">348 (82.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="left">67 (15.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">8 (1.9)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Neuroendocrine markers</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive</td>
<td valign="top" align="left">30 (7.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;10% of tumor cells positive for Syn and/or CgA</td>
<td valign="top" align="left">20</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;10%&#x2013;89% of tumor cells positive for Syn and/or CgA</td>
<td valign="top" align="left">8</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;90% of tumor cells positive for Syn and/or CgA</td>
<td valign="top" align="left">2</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="left">366 (86.5)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Syn</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive</td>
<td valign="top" align="left">26 (6.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="left">370 (87.5)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">CgA</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003; Positive</td>
<td valign="top" align="left">8 (1.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="left">388 (91.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">27 (6.4)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Recurrence</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">138 (32.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">285 (67.4)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Local recurrence</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">43 (10.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">380 (89.8)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Distant metastases</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">108 (25.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">315 (74.5)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Death</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="left">87 (20.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="left">336 (79.4)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>IHC staining results showed that, among 396 TNBC patients with known NE marker staining results, 30 cases (7.6%) were NE marker-positive. For the percentage of immunoreactive tumor cells, 20 patients were &lt; 10%, eight patients were 10%&#x2013;90%, and two patients were &#x2265; 90%. In addition, 26 cases (6.6%) were Syn-positive and eight cases (2.0%) were CgA-positive. Four cases (1.0%) were both Syn-positive and CgA-positive.</p>
<p>The mean follow-up time was 74 months (range: 2&#x2013;201 months). Recurrence occurred in 138 patients (32.6%), including distant metastasis sites such as bone, lung, brain, and liver (108 cases, 25.5%). Local recurrence sites included the chest wall, axillary lymph node, and supraclavicular lymph node (43 cases, 10.2%). Overall, 87 patients (20.6%) died of breast cancer during the follow-up period. Three patients without recurrence died of ovarian cancer, heart failure, and lung infection, respectively.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>K-M survival analysis of the effect of NE markers on TNBC patient prognosis</title>
<p>The mean DFS of TNBC was 136 months (95% confidence interval (CI): 127&#x2013;144), and the five-year DFS rate was 68.4% ( &#xb1; 2.3%). The mean OS was 158 months (95% CI: 151&#x2013;166), and the five-year OS rate was 81.0% ( &#xb1; 2.0%).</p>
<p>Considering the influence of different disease stages on prognosis, we stratified the 396 TNBC patients by stage and conducted K-M survival analysis. The results are shown in <xref ref-type="table" rid="T3"><bold>Tables&#xa0;3</bold></xref>, <xref ref-type="table" rid="T4"><bold>4</bold></xref>. The patients in the NE marker-positive group had significantly longer DFS than those in the NE marker-negative group when stratified by stage (<italic>P</italic>=0.040). The survival curves are shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>. No significant differences in OS were found between the two groups.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>K-M survival analysis of the effect of NE markers on DFS in the 396 TNBC patients stratified by stage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left"/>
<th valign="middle" rowspan="2" align="left">Stage</th>
<th valign="middle" colspan="2" align="center">Five-year DFS rate % (standard error %)</th>
<th valign="middle" rowspan="2" align="left"><italic>P</italic> value</th>
</tr>
<tr>
<th valign="middle" align="left">Positive group</th>
<th valign="middle" align="left">Negative group</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">NE markers</td>
<td valign="middle" align="left">I</td>
<td valign="middle" align="left">100.0 (-)</td>
<td valign="middle" align="left">81.5 (3.7)</td>
<td valign="middle" align="left">0.040</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">II</td>
<td valign="middle" align="left">80.0 (12.6)</td>
<td valign="middle" align="left">68.2 (3.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">III</td>
<td valign="middle" align="left">77.8 (13.9)</td>
<td valign="middle" align="left">43.6 (5.8)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Syn</td>
<td valign="middle" align="left">I</td>
<td valign="middle" align="left">100.0 (-)</td>
<td valign="middle" align="left">81.3 (3.7)</td>
<td valign="middle" align="left">0.032</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">II</td>
<td valign="middle" align="left">80.0 (12.6)</td>
<td valign="middle" align="left">68.2 (3.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">III</td>
<td valign="middle" align="left">77.8 (13.9)</td>
<td valign="middle" align="left">43.6 (5.8)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">CgA</td>
<td valign="middle" align="left">I</td>
<td valign="middle" align="left">66.7 (27.2)</td>
<td valign="middle" align="left">82.7 (3.5)</td>
<td valign="middle" align="left">0.718</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">II</td>
<td valign="middle" align="left">50.0 (25.0)</td>
<td valign="middle" align="left">69.3 (3.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">III</td>
<td valign="middle" align="left">100.0 (-)</td>
<td valign="middle" align="left">46.8 (5.6)</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>K-M survival analysis of the effect of NE markers on OS in 396 TNBC patients stratified by stage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left"/>
<th valign="middle" rowspan="2" align="left">Stage</th>
<th valign="middle" colspan="2" align="center">Five-year OS rate % (standard error %)</th>
<th valign="middle" rowspan="2" align="left"><italic>P</italic> value</th>
</tr>
<tr>
<th valign="middle" align="left">Positive group</th>
<th valign="middle" align="left">Negative group</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">NE markers</td>
<td valign="middle" align="left">I</td>
<td valign="middle" align="left">100.0 (-)</td>
<td valign="middle" align="left">92.7 (2.5)</td>
<td valign="middle" align="left">0.059</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">II</td>
<td valign="middle" align="left">91.7 (8.0)</td>
<td valign="middle" align="left">81.5 (2.9)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">III</td>
<td valign="middle" align="left">88.9 (10.5)</td>
<td valign="middle" align="left">57.5 (5.9)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Syn</td>
<td valign="middle" align="left">I</td>
<td valign="middle" align="left">100.0 (-)</td>
<td valign="middle" align="left">92.8 (2.4)</td>
<td valign="middle" align="left">0.074</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">II</td>
<td valign="middle" align="left">90.0 (9.5)</td>
<td valign="middle" align="left">81.6 (2.9)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">III</td>
<td valign="middle" align="left">88.9 (10.5)</td>
<td valign="middle" align="left">57.5 (5.9)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">CgA</td>
<td valign="middle" align="left">I</td>
<td valign="middle" align="left">100.0 (-)</td>
<td valign="middle" align="left">93.1 (2.4)</td>
<td valign="middle" align="left">0.236</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">II</td>
<td valign="middle" align="left">100.0 (-)</td>
<td valign="middle" align="left">81.8 (2.8)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">III</td>
<td valign="middle" align="left">100.0 (-)</td>
<td valign="middle" align="left">60.1 (5.6)</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p><bold>(A)</bold> K-M survival analysis showed neuroendocrine marker (NE) expression significantly prolongated DFS time in TNBC patients stratified by stage. <bold>(B)</bold> K-M survival analysis showed Syn expression significantly prolongated DFS time in TNBC patients stratified by stage.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-14-1205631-g001.tif"/>
</fig>
<p>Furthermore, we analyzed the effects of Syn and CgA expression on TNBC prognosis separately. The results are also shown in <xref ref-type="table" rid="T3"><bold>Tables&#xa0;3</bold></xref>, <xref ref-type="table" rid="T4"><bold>4</bold></xref>. The DFS in the Syn-positive group were still significantly longer than those in the Syn-negative group when compared by stage (<italic>P</italic>=0.032). The survival curves are shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>. However, no significant differences were found between the CgA-positive and CgA-negative groups.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Correlations between NE markers and other TNBC parameters</title>
<p>The correlation analysis results for NE markers and other clinicopathological parameters in 396 TNBC patients are shown in <xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>. Positive NE marker expression was significantly negatively correlated with basal-like marker expression (<italic>P</italic>=0.004). However, we did not observe any significant correlation between NE markers and other clinicopathological features, such as patient age, tumor size, number of lymph nodes metastases, stage, grade, P53, or Ki-67.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Correlation between NE markers and other parameters of the 396 TNBC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Parameters</th>
<th valign="middle" rowspan="2" align="left">No.</th>
<th valign="middle" colspan="2" align="center">NE markers</th>
<th valign="middle" rowspan="2" align="left"><italic>P</italic> value</th>
</tr>
<tr>
<th valign="top" align="left">Positive (%)<break/>(30)</th>
<th valign="top" align="left">Negative (%)<break/>(366)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Age (years)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;50</td>
<td valign="top" align="left">203</td>
<td valign="top" align="left">16 (7.9/55.2)</td>
<td valign="top" align="left">187 (92.1/51.5)</td>
<td valign="top" align="left">0.704</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;50</td>
<td valign="top" align="left">189</td>
<td valign="top" align="left">13 (6.9/44.8)</td>
<td valign="top" align="left">176 (93.1/48.5)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Tumor size</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;5cm</td>
<td valign="top" align="left">376</td>
<td valign="top" align="left">27 (7.2/90.0)</td>
<td valign="top" align="left">349 (92.8/95.6)</td>
<td valign="top" align="left">0.348</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt; 5cm</td>
<td valign="top" align="left">19</td>
<td valign="top" align="left">3 (15.8/10.0)</td>
<td valign="top" align="left">16 (84.2/4.4)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">No. of lymph nodes metastases</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="left">219</td>
<td valign="top" align="left">12 (5.5/41.4)</td>
<td valign="top" align="left">207 (94.5/57.3)</td>
<td valign="top" align="left">0.096</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;1</td>
<td valign="top" align="left">171</td>
<td valign="top" align="left">17 (9.9/58.6)</td>
<td valign="top" align="left">154 (90.1/42.7)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Stage</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;I, II</td>
<td valign="top" align="left">314</td>
<td valign="top" align="left">21 (6.7/70.0)</td>
<td valign="top" align="left">293 (93.3/80.1)</td>
<td valign="top" align="left">0.191</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;III</td>
<td valign="top" align="left">82</td>
<td valign="top" align="left">9 (11.0/30.0)</td>
<td valign="top" align="left">73 (89.0/19.9)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Grade</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Grade 1, 2</td>
<td valign="top" align="left">109</td>
<td valign="top" align="left">9 (8.3/30.0)</td>
<td valign="top" align="left">100 (91.7/27.4)</td>
<td valign="top" align="left">0.759</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Grade 3</td>
<td valign="top" align="left">286</td>
<td valign="top" align="left">21 (7.3/70.0)</td>
<td valign="top" align="left">265 (92.7/72.6)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">P53</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive</td>
<td valign="top" align="left">223</td>
<td valign="top" align="left">20 (9.0/66.7)</td>
<td valign="top" align="left">203 (91.0/55.8)</td>
<td valign="top" align="left">0.247</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="left">171</td>
<td valign="top" align="left">10 (5.8/33.3)</td>
<td valign="top" align="left">161 (94.2/44.2)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Ki-67%</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;14</td>
<td valign="top" align="left">41</td>
<td valign="top" align="left">4 (9.8/13.3)</td>
<td valign="top" align="left">37 (90.2/10.5)</td>
<td valign="top" align="left">0.859</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;14</td>
<td valign="top" align="left">342</td>
<td valign="top" align="left">26 (7.6/86.7)</td>
<td valign="top" align="left">316 (92.4/89.5)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Basal-like markers</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive</td>
<td valign="top" align="left">330</td>
<td valign="top" align="left">20 (6.1/66.7)</td>
<td valign="top" align="left">310 (93.9/86.4)</td>
<td valign="top" align="left">0.004*</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="left">59</td>
<td valign="top" align="left">10 (16.9/33.3)</td>
<td valign="top" align="left">49 (83.1/13.6)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NA</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Pathological characteristics of the 30 NE marker-positive TNBC cases</title>
<p>To further clarify the pathological features of the TNBC cases with positive expression of NE markers, we reviewed the pathological sections of the 30 cases according to the newly published WHO Classification in 2019. The histological types are shown in <xref ref-type="table" rid="T6"><bold>Table&#xa0;6</bold></xref>. Most of the cases (23 cases, 76.7%) were IBC-NST. Other histological types included six cases of NST with apocrine differentiation and one case of invasive micropapillary carcinoma. Syn and CgA IHC staining images and the corresponding hematoxylin &amp; eosin (HE) staining images are shown in <xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2</bold></xref>&#x2013;<xref ref-type="fig" rid="f4"><bold>4</bold></xref>. Microscopically, the tumor cells were clear and had different degrees of atypia. Pathological mitoses were observed. Most cells were arranged in nests or solid sheets, with some having papillary structures. Syn and CgA IHC images showed that the cytoplasm of some tumor cells was colored to varying degrees, showing scattered or large patchy light brown to dark brown staining.</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Histological types of the 30 TNBC cases with positive expression of NE markers.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Histological type</th>
<th valign="top" align="left">N (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IBC-NST</td>
<td valign="top" align="left">23 (76.7)</td>
</tr>
<tr>
<td valign="top" align="left">NST with apocrine differentiation</td>
<td valign="top" align="left">6 (20.0)</td>
</tr>
<tr>
<td valign="top" align="left">Invasive micropapillary carcinoma</td>
<td valign="top" align="left">1 (3.3)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Syn IHC staining and corresponding HE staining in TNBC (100&#xd7;). <bold>(A&#x2013;C, G&#x2013;I)</bold> show the HE staining in the same case as <bold>(D&#x2013;F, J&#x2013;L)</bold>, respectively. <bold>(H)</bold> shows the NST with apocrine differentiation, and the rest are IBC-NST. The percentages of Syn positive tumour cells in <bold>(D&#x2013;F)</bold> are ranked from the lowest to the highest, which are 5%, 25%, and 95%. <bold>(J&#x2013;L)</bold> rank the intensity of Syn staining from weak to strong, in order of weak positive, medium positive, and strong positive.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-14-1205631-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>CgA IHC staining and corresponding HE staining in TNBC (100&#xd7;). <bold>(A&#x2013;C, G&#x2013;I)</bold> show the HE staining in the same case as <bold>(D&#x2013;F, J&#x2013;L)</bold>, respectively. <bold>(B)</bold> shows invasive micropapillary carcinoma, and the rest are IBC-NST. The percentages of CgA positive tumour cells in <bold>(D&#x2013;F)</bold> are ranked from the lowest to the highest, which are 5%, 60%, and 95%. <bold>(J&#x2013;L)</bold> rank the intensity of CgA staining from weak to strong, in order of weak positive, medium positive, and strong positive.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-14-1205631-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>HE staining and NE marker IHC staining in 3 TNBC cases (100&#xd7;). <bold>(A&#x2013;C)</bold> An IBC-NST case with both positive Syn expression (70% medium-strong positive) and positive CgA expression (90% strong positive). <bold>(D&#x2013;F)</bold> An IBC-NST case with positive Syn expression (25% medium-strong positive) and negative CgA. <bold>(G&#x2013;I)</bold> An IBC-NST case with negative Syn and positive CgA expression (60% strong positive).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-14-1205631-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>ATRX, MGMT, SSTR2, and PD-L1 expression in NE marker-positive TNBC cases</title>
<p>To further explore the prognosis and potential treatment options of NE marker-positive TNBC, we conducted IHC staining of ATRX, MGMT, SSTR2, and PD-L1 in the 30 TNBC samples with positive NE marker expression. The results are shown in <xref ref-type="table" rid="T7"><bold>Tables&#xa0;7</bold></xref><bold>&#x2013;</bold><xref ref-type="table" rid="T9"><bold>9</bold></xref>.</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>IHC staining results of ATRX and MGMT in the NE marker-positive TNBC cases.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" colspan="2" align="left"/>
<th valign="top" colspan="2" align="center">N (%)</th>
</tr>
<tr>
<th valign="top" align="left">ATRX</th>
<th valign="top" align="left">MGMT</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="3" align="left">Intensity of staining</td>
<td valign="top" align="left">Weak positive</td>
<td valign="top" align="left">6 (20.0)</td>
<td valign="top" align="left">10 (33.3)</td>
</tr>
<tr>
<td valign="top" align="left">Medium positive</td>
<td valign="top" align="left">16 (53.3)</td>
<td valign="top" align="left">9 (30.0)</td>
</tr>
<tr>
<td valign="top" align="left">Strong positive</td>
<td valign="top" align="left">4 (13.3)</td>
<td valign="top" align="left">3 (10.0)</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Percentage of positive tumour cells</td>
<td valign="top" align="left">1%-20%</td>
<td valign="top" align="left">4 (13.3)</td>
<td valign="top" align="left">13 (43.3)</td>
</tr>
<tr>
<td valign="top" align="left">21%-40%</td>
<td valign="top" align="left">6 (20.0)</td>
<td valign="top" align="left">4 (13.3)</td>
</tr>
<tr>
<td valign="top" align="left">41%-60%</td>
<td valign="top" align="left">2 (6.7)</td>
<td valign="top" align="left">1 (3.3)</td>
</tr>
<tr>
<td valign="top" align="left">61%-80%</td>
<td valign="top" align="left">8 (26.7)</td>
<td valign="top" align="left">3 (10.0)</td>
</tr>
<tr>
<td valign="top" align="left">81%-100%</td>
<td valign="top" align="left">6 (20.0)</td>
<td valign="top" align="left">1 (3.3)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Negative</td>
<td valign="top" align="left">4 (13.3)</td>
<td valign="top" align="left">8 (26.7)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T8" position="float">
<label>Table&#xa0;8</label>
<caption>
<p>IHC staining results of SSTR2 in the NE marker-positive TNBC cases.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">IHC results of SSTR2</th>
<th valign="top" align="left">N (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">0</td>
<td valign="top" align="left">16 (53.3)</td>
</tr>
<tr>
<td valign="top" align="left">1+</td>
<td valign="top" align="left">5 (16.7)</td>
</tr>
<tr>
<td valign="top" align="left">2+</td>
<td valign="top" align="left">5 (16.7)</td>
</tr>
<tr>
<td valign="top" align="left">3+</td>
<td valign="top" align="left">4 (13.3)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T9" position="float">
<label>Table&#xa0;9</label>
<caption>
<p>IHC staining results of PD-L1 (22C3) in the NE marker-positive TNBC cases.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">IHC results of PD-L1 (22C3)</th>
<th valign="top" align="left">N (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="left">TPS%</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">20 (66.7)</td>
</tr>
<tr>
<td valign="top" align="left">1-3</td>
<td valign="top" align="left">7 (23.3)</td>
</tr>
<tr>
<td valign="top" align="left">30</td>
<td valign="top" align="left">2 (6.7)</td>
</tr>
<tr>
<td valign="top" align="left">40</td>
<td valign="top" align="left">1 (3.3)</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">CPS</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">12 (40.0)</td>
</tr>
<tr>
<td valign="top" align="left">1-5</td>
<td valign="top" align="left">13 (43.3)</td>
</tr>
<tr>
<td valign="top" align="left">6-10</td>
<td valign="top" align="left">1 (3.3)</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="left">1 (3.3)</td>
</tr>
<tr>
<td valign="top" align="left">31-40</td>
<td valign="top" align="left">3 (10.0)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Among the 30 NE marker-positive TNBC cases, four cases (13.3%) and eight cases (26.7%) were negative for ATRX and MGMT IHC staining, respectively. More than half of the cases (53.3%) were medium-positive and eight cases (26.7%) were 61%&#x2013;80% positive for ATRX IHC staining. Ten cases (33.3%) were weak-positive and 13 cases (43.3%) were 1%&#x2013;20% positive for MGMT IHC staining.</p>
<p>Furthermore, four of the 30 NE marker-positive TNBC cases (13.3%) had a 3+ score for SSTR2 IHC staining. In addition, more than half of the cases (53.3%) had a 0 score (negative SSTR2 IHC staining). Four cases (13.3%) among the 30 TNBCs were higher than 10 scores in terms of the CPS of PD-L1, and three cases (10.0%) were higher than 10% for the TPS of PD-L1. The summary of the results of our study is presented in <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The summary of the results in this study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-14-1205631-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Because of the highly malignant nature, poor prognosis, and high heterogeneity associated with TNBC, researchers have been committed to identifying prognostic biomarkers and therapeutic targets specific to this disease. A large retrospective cohort study that collected data from nearly 160,000 breast cancer patients from the National Cancer Institute in 2017 showed that TNBC patients had a worse prognosis than non-TNBC patients of the same stage, adjusted for age, race, tumor stage, surgery, and radiation. These findings confirmed the importance of introducing biomarkers to the traditional TNM staging to help predict breast cancer patient prognosis, as well as the necessity of further exploring TNBC-related issues (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>To our knowledge, our study is the first and the largest retrospective cohort study to explore the prognostic significance of NE markers in TNBC. We aimed to provide new biomarkers that can help predict TNBC patient survival and assist clinicians with treatment decisions.</p>
<p>Among the 396 TNBC patients included in this study, positive NE marker expression was observed in 30 cases (7.6%). 20 cases had &lt;10% of tumor cells positive for NE markers. Eight cases had 10%&#x2013;89% of tumor cells positive for NE markers. Two cases had &#x2265;90% of tumor cells positive for NE markers. The WHO Classification of Tumours of the Breast in 2019 suggested that cancers with more than 90% NEN pattern should be classified as neuroendocrine tumor or NEC, while cancers with less than 10% should be classified as invasive NST or other types. Cancers with 10% to 90% NEN pattern should be classified as mixed invasive (NST or other special type) and NEC, and the percentage of NE component should be reported (<xref ref-type="bibr" rid="B8">8</xref>). According to the WHO Classification in 2019, two of these 30 cases were classified as NENs. Seven cases were classified as mixed invasive NST and NEC and one case were classified as mixed invasive micropapillary carcinoma and NEC. According to the 2012 WHO Classification of Tumours of the Breast, NED can be detected in approximately 30% of IBC-NST cases and in some special types (especially mucinous carcinoma) by IHC staining (<xref ref-type="bibr" rid="B6">6</xref>). However, because of different definitions, the incidence of NENs in all types of breast cancer has been previously reported to be as low as &lt; 0.1% to as high as nearly 20% (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). For the TNBC subtype in our cohort, the percentage of cases with positive NE marker expression (7.6%) was lower than the incidence of NED in all breast cancers (30%) indicated by the 2012 WHO Classification of Tumours. Additionally, the incidence of NENs was very low according to the 2019 WHO Classification of Tumours definition. Only two cases had more than 90% of NE marker-positive tumor cells among the 396 TNBC patients. These results are also consistent with the previous findings that NED is significantly correlated with ER and PR expression (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>According to the K-M survival analysis for the TNBC patients stratified by stage in our study, we found that those with positive NE marker expression had higher DFS rates than those without NE marker expression in the same stage. To our knowledge, no previous cohort study has reported on the prognostic effect of NE markers in TNBC patients. In general, sufficient studies have confirmed that NED in breast cancer implies a poor prognosis (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). Actually, our result does not conflict with the conclusions of previous studies. The objects of previous studies were breast cancer patients, which were dominated by hormone-positive cases, and the numbers of TNBC cases were small. While our study focused on TNBC, a breast cancer subtype with a worse prognosis relative to others. Therefore, we speculated that the influence of NE markers on prognosis of breast cancer patients might be related to their hormonal status.</p>
<p>In addition, our study showed that positive Syn expression has a better prognostic significance than CgA. Previous work has concluded that NED can be confirmed using IHC stains for several markers, including Syn, and CgA. Each marker has different degrees of specificity and sensitivity: Syn is highly sensitive, but not entirely specific. CgA is highly specific, but less sensitive than Syn (<xref ref-type="bibr" rid="B34">34</xref>). In our study, 6.1% and 1.9% of TNBC cases showed positive IHC staining for Syn and CgA, respectively. Positive Syn expression significantly prolongated the DFS in TNBC patients compared with Syn-negative TNBC patients at the same stage, but no significant difference in DFS was found for CgA expression. Our study concludes that Syn positivity in TNBC was higher than that of CgA, and the prognostic significance of Syn was greater than that of CgA for TNBC patients. The results of our study may provide guidance for clinical identification of TNBC patients with better prognoses.</p>
<p>Furthermore, we observed a significant negative correlation between NE marker expression and basal-like marker expression in our cases. Previous literature suggests that positive expression of basal-like markers can be used as adverse prognostic factors for TNBC (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>). These conclusions are consistent with our results of positive NE marker expression being associated with a better prognosis in TNBC, as well as the observed negative correlation between NE marker and basal-like marker positivity.</p>
<p>After further exploring the 30 TNBC cases with positive NE marker expression, we found that 13.3% of these cases were negative for ATRX expression, indicating poor prognosis (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). 26.7% of these cases were negative for MGMT expression, which may response to temozolomide (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Additionally, 13.3% of these cases had a 3+ score for SSTR2 IHC staining, suggesting poor prognosis but also the potential to be treated with somatostatin analogues (<xref ref-type="bibr" rid="B28">28</xref>). The TPS of PD-L1 was higher than 10% in 10.0% of these 30 cases, meaning that a small percentage of the NE marker-positive TNBC patients may benefit from immunotherapy (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). However, because of the low levels of NE marker expression in TNBC and the small number of cases included, further investigation is warranted regarding the positive rate of IHC staining for these markers and their prognostic and therapeutic implications. A meta-analysis involving 49,425 cancer patients suggested that immune checkpoint inhibitors (ICIs) may increase the possibility of complete remissions compared to control treatments (<xref ref-type="bibr" rid="B38">38</xref>). Nevertheless, only a subset of breast cancer patients benefit from ICIs, necessitating exploration into reliable predictors of response. A review discussing potential predictors of response to ICIs in TNBC indicated that PD-L1 could serve as an important marker for selecting TNBC patients who would derive greater clinical benefits from immunotherapy. However, relying solely on PD-L1 assessment might exclude certain TNBC patients who could potentially respond to immunotherapy. More efforts should be devoted to evaluating novel biomarkers for predicting response to ICIs in TNBC patients, such as PD-L1 expression, tumor mutational burden, microsatellite instability status, etc. (<xref ref-type="bibr" rid="B39">39</xref>) Recent clinical trials have demonstrated the benefits of various immune-based combinations for metastatic TNBC patients; thus chemoimmunotherapy has been approved as a new first-line treatment option for metastatic TNBC patients with elevated CPS or PD-L1 overexpression. Several clinical studies potentially modifying the landscape of first-line treatment options for TNBC are still ongoing (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>This study has some limitations. Differences in the time from disease onset to when surgical treatment was administered, the surgical methods received, and the adjuvant therapies became confounding factors that affected our prognostic evaluation. We reduced the effect of the different treatment regimens on prognosis by excluding patients who received neoadjuvant therapy.</p>
<p>In conclusion, expression of NE markers, especially Syn, in TNBC indicated a better prognosis compared with cases negative for NE marker expression at the same stage. There was a significant negative correlation between NE marker expression and basal-like marker expression in TNBC. The use of NE markers as biomarkers for predicting TNBC patient prognosis requires further verification. Additionally, we found that a small number of TNBC cases with positive NE marker expression also showed positive IHC staining for PD-L1 and SSTR2, suggesting that these patients may potentially benefit from immunotherapy or somatostatin analogue treatment.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of Peking Union Medical College Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The human samples used in this study were acquired from primarily isolated as part of your previous study for which ethical approval was obtained. 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.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>CX, ZL, and XR contributed to the conception and design of the study. SS, JP, LC, and JY acquired and organized the data for the work. CX performed the statistical analysis and wrote the first draft of the manuscript. XR wrote sections of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) (2021-I2M-1-053).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank our colleague Mu Zhang for selecting paraffin blocks of patient samples for the study.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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