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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1181628</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2023.1181628</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>MicroRNA-146a-5p induces cell cycle arrest and enhances apoptosis in gastric cancer via targeting CDC14A</article-title>
<alt-title alt-title-type="left-running-head">Jiang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2023.1181628">10.3389/fcell.2023.1181628</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Piao</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="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liang</surname>
<given-names>Bin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Zhen</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Bing</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1402650/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zeng</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Zhiyong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mao</surname>
<given-names>Zhifang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Qing</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yao</surname>
<given-names>Weirong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2015578/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shen</surname>
<given-names>Qinglin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1934775/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Oncology</institution>, <institution>Jiangxi Provincial People&#x2019;s Hospital</institution>, <institution>The First Affiliated Hospital of Nanchang Medical College</institution>, <addr-line>Nanchang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>The First Clinical Medical College</institution>, <institution>Nanchang University</institution>, <addr-line>Nanchang</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>The First Affiliated Hospital of Nanchang Medical College</institution>, <institution>Institute of Clinical Medicine</institution>, <institution>Jiangxi Provincial People&#x2019;s Hospital</institution>, <addr-line>Nanchang</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Radiology</institution>, <institution>Jiangxi Provincial People&#x2019;s Hospital</institution>, <institution>The First Affiliated Hospital of Nanchang Medical College</institution>, <addr-line>Nanchang</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Thoracic Surgery</institution>, <institution>Jiangxi Provincial People&#x2019;s Hospital</institution>, <institution>The First Affiliated Hospital of Nanchang Medical College</institution>, <addr-line>Nanchang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1436153/overview">Yi Yao</ext-link>, Renmin Hospital of Wuhan University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1242295/overview">Pietro Carotenuto</ext-link>, Telethon Institute of Genetics and Medicine (TIGEM), Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1030600/overview">Hexiao Tang</ext-link>, Wuhan University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Qinglin Shen, <email>qinglinshen@whu.edu.cn</email>; Weirong Yao, <email>495574116@qq.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>05</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1181628</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>03</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Jiang, Liang, Zhang, Fan, Zeng, Zhou, Mao, Lin, Yao and Shen.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Jiang, Liang, Zhang, Fan, Zeng, Zhou, Mao, Lin, Yao and Shen</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>
<p>
<bold>Objective</bold>: The present study was designed to investigate the expression of miRNA-146a-5p in gastric cancer (GC) tissues and the paired nonmalignant counterparts, to explore the influences of miRNA-146a-5p on the cell biological behavior of MKN-28 cells (highly metastatic human gastric cancer cells), and to identify the function of abnormal expression of its target gene <italic>cell division cycle 14 homolog A (CDC14A)</italic> in GC.</p>
<p>
<bold>Methods:</bold> We detected the expression of miRNA-146a-5p in formalin-fixed and paraffin-embedded (FFPE) GC tissues through microarray and quantitative real-time polymerase chain reaction (qRT-PCR). Then, we employed cell counting kit-8 (CCK-8) assays, cell cycle assays, and apoptosis analysis to uncover the latent function of miRNA-146a-5p in MKN-28 human GC cells. We also validated the target of miRNA-146a-5p via luciferase reporter assays.</p>
<p>
<bold>Results:</bold> miRNA-146a-5p levels were examined in the majority of primary GC tissues and several GC cell lines. As a result, miRNA-146a-5p levels were significantly declined in the GC tissues and cells. In addition, miRNA-146a-5p demonstrated a straight act on its 3&#x2032;-untranslated region (3&#x2032;-UTR) of CDC14A mRNA, accordingly decreasing the contents of CDC14A mRNA as well as its protein expression. An inverse correlation between CDC14A and miRNA-146a-5p was observed.</p>
<p>
<bold>Conclusion:</bold> The data suggest miRNA-146a-5p may contribute to inducing cell cycle arrest as well as prompting GC cell apoptosis via directly targeting CDC14A. Therefore, miRNA-146a-5p may be a potential indicator of the occurrence and development of GC.</p>
</abstract>
<kwd-group>
<kwd>microRNA-146a-5p</kwd>
<kwd>gastric cancer</kwd>
<kwd>CDC14A</kwd>
<kwd>cell cycle</kwd>
<kwd>apoptosis</kwd>
</kwd-group>
<contract-num rid="cn001">202130003</contract-num>
<contract-num rid="cn002">GJJ218909</contract-num>
<contract-sponsor id="cn001">Health Commission of Jiangxi Province<named-content content-type="fundref-id">10.13039/501100020205</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Education Department of Jiangxi Province<named-content content-type="fundref-id">10.13039/501100009102</named-content>
</contract-sponsor>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Cell Biology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Gastric cancer (GC) is the fifth most frequent malignancy in the world and the third leading cause of cancer-related death. Approximately 768,000 GC patients die annually worldwide (<xref ref-type="bibr" rid="B34">Smyth et al., 2020</xref>; <xref ref-type="bibr" rid="B35">Thrift and El-Serag, 2020</xref>; <xref ref-type="bibr" rid="B1">Ajani et al., 2022</xref>). Despite tremendous improvement in the study concerning oncogenesis and the development of GC, its intrinsic mechanisms are not well understood, thereby desperately compelling us to further investigate the prospective intrinsic mechanism unveiling GC.</p>
<p>MicroRNAs (miRNAs) are a class of short non-coding RNAs that regulate gene expression and manipulate stability as well as translation of mRNAs (<xref ref-type="bibr" rid="B30">Riahi Rad et al., 2021</xref>). miRNAs exert a vital part in numerous biological activities, including proliferation, differentiation, apoptosis, and motility (<xref ref-type="bibr" rid="B31">Saliminejad et al., 2019</xref>; <xref ref-type="bibr" rid="B16">Hussen et al., 2021</xref>; <xref ref-type="bibr" rid="B21">Liu et al., 2022</xref>). Dysregulated miRNAs have been observed in various tumors, such as, GC (<xref ref-type="bibr" rid="B22">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B32">Shi et al., 2021</xref>). miRNAs fulfill a role through binding to their miRNA recognition sequences which are common in the 3&#x2032;-UTRs of target mRNAs, resulting in decreased translation and increased cleavage of target mRNAs, hence downregulating the protein expression downstream (<xref ref-type="bibr" rid="B7">Correia de Sousa et al., 2019</xref>; <xref ref-type="bibr" rid="B29">Pu et al., 2019</xref>). In addition, miRNAs are capable of serving as oncomiRs or oncosuppressor miRs (<xref ref-type="bibr" rid="B2">Ali Syeda et al., 2020</xref>; <xref ref-type="bibr" rid="B25">Miliotis and Slack, 2021</xref>; <xref ref-type="bibr" rid="B33">Smolarz et al., 2022</xref>). Typical instances in GC include miRNA-760, a kind of tumor repressor that targets G-protein-coupled receptor kinase interacting protein-1 (GIT1) (<xref ref-type="bibr" rid="B11">Ge et al., 2019</xref>), and miRNA-18, whose effects on gastric carcinogenesis are mediated by downregulating HMGB3 through targeting Meis2 (<xref ref-type="bibr" rid="B39">Zhang et al., 2022</xref>).</p>
<p>Cell division cycle 14 homolog A (CDC14A), a member of the dual specificity protein tyrosine phosphatase family, relates to the exit of cell mitosis and initiation of DNA replication, demonstrating its action on cell cycle control. Recent studies have reported that CDC14A might play an important role in cell adhesion (<xref ref-type="bibr" rid="B5">Chen et al., 2017</xref>) and apoptosis (<xref ref-type="bibr" rid="B13">Hu et al., 2019</xref>). However, the function of CDC14A in the cell cycle and apoptosis of GC remains unknown.</p>
<p>In our present study, we carried out miRNA microarray analysis and discovered that miRNA-146a-5p levels were significantly declined in GC tissues. Furthermore, we demonstrated that miRNA-146a-5p caused a reduction in CDC14A levels, leading to suppressed cell cycle and enhanced apoptosis. Altogether, the results suggest that miRNA-146a-5p may be conducive to cell cycle arrest and promotion of GC cell apoptosis, probably through targeting CDC14A.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Tissue samples</title>
<p>The study was conducted in accordance with the principles of the Declaration of Helsinki. The approval for the study was granted by the Ethics Committee of Jiangxi Provincial People&#x2019;s Hospital, The First Affiliated Hospital of Nanchang Medical College.</p>
<p>The formalin-fixed paraffin-embedded (FFPE) samples from 132 gastric cancer tissues and 66 matched noncancerous samples were obtained during surgery from January 2013 to May 2015 and then utilized after acquiring informed consent. The clinicopathological characteristics of the patients are summarized in <xref ref-type="table" rid="T1">Table 1</xref>. None of these patients accepted preoperative treatments like radiotherapy or chemotherapy. All patients underwent a definite histologic diagnosis of gastric cancer based on the clinicopathologic criteria according to the Eighth Edition of AJCC/UICC (2017). Invasive ductal carcinoma tissues, accounting for over 80% of the region of malignant epithelial cells, were identified using a microscope. Paired noncancerous samples were confined within 2&#xa0;cm of tumor tissues and were not allowed to contain any tumor cells. Four pieces of 20-&#x3bc;m-thick segments were cut from each FFPE tissue block and harvested into a 2-mL RNA enzyme-free tube.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Relationship of expression of miRNA-146a-5p in GC and clinicopathological characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Characteristic</th>
<th rowspan="2" align="center">Number (n &#x3d; 132)</th>
<th colspan="2" align="center">miRNA-146a-5p expression</th>
<th rowspan="2" align="center">
<italic>p-value</italic>
</th>
</tr>
<tr>
<th align="center">High (n &#x3d; 40)</th>
<th align="center">Low (n &#x3d; 92)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="left">Age (years)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;60</td>
<td align="center">87</td>
<td align="center">29</td>
<td align="center">58</td>
<td rowspan="2" align="center">0.228</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;60</td>
<td align="center">45</td>
<td align="center">11</td>
<td align="center">34</td>
</tr>
<tr>
<td colspan="5" align="left">Gender</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="center">81</td>
<td align="center">24</td>
<td align="center">57</td>
<td rowspan="2" align="center">0.721</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="center">51</td>
<td align="center">16</td>
<td align="center">35</td>
</tr>
<tr>
<td colspan="5" align="left">Tumor size (cm)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;5</td>
<td align="center">89</td>
<td align="center">29</td>
<td align="center">60</td>
<td rowspan="2" align="center">0.367</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;5</td>
<td align="center">43</td>
<td align="center">11</td>
<td align="center">32</td>
</tr>
<tr>
<td align="left">Tumor site</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Upper</td>
<td align="center">30</td>
<td align="center">3</td>
<td align="center">27</td>
<td rowspan="2" align="center">0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Middle/lower</td>
<td align="center">102</td>
<td align="center">37</td>
<td align="center">65</td>
</tr>
<tr>
<td colspan="5" align="left">Lauren&#x2019;s classification</td>
</tr>
<tr>
<td align="left">&#x2003;Intestinal</td>
<td align="center">72</td>
<td align="center">8</td>
<td align="center">64</td>
<td rowspan="2" align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Mixed/diffuse</td>
<td align="center">60</td>
<td align="center">32</td>
<td align="center">28</td>
</tr>
<tr>
<td colspan="5" align="left">Histologic differentiation</td>
</tr>
<tr>
<td align="left">&#x2003;Well/moderate</td>
<td align="center">48</td>
<td align="center">20</td>
<td align="center">28</td>
<td rowspan="2" align="center">0.014</td>
</tr>
<tr>
<td align="left">&#x2003;Poor and unknown</td>
<td align="center">84</td>
<td align="center">20</td>
<td align="center">64</td>
</tr>
<tr>
<td colspan="5" align="left">Depth of invasion</td>
</tr>
<tr>
<td align="left">&#x2003;T1/T2</td>
<td align="center">59</td>
<td align="center">32</td>
<td align="center">27</td>
<td rowspan="2" align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;T3/T4</td>
<td align="center">73</td>
<td align="center">8</td>
<td align="center">65</td>
</tr>
<tr>
<td colspan="5" align="left">TNM stage</td>
</tr>
<tr>
<td align="left">&#x2003;I/II</td>
<td align="center">52</td>
<td align="center">22</td>
<td align="center">30</td>
<td rowspan="2" align="center">0.003</td>
</tr>
<tr>
<td align="left">&#x2003;III/IV</td>
<td align="center">80</td>
<td align="center">18</td>
<td align="center">62</td>
</tr>
<tr>
<td colspan="5" align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">&#x2003;N0</td>
<td align="center">42</td>
<td align="center">19</td>
<td align="center">23</td>
<td rowspan="2" align="center">0.002</td>
</tr>
<tr>
<td align="left">&#x2003;N (&#x2b;)</td>
<td align="center">90</td>
<td align="center">21</td>
<td align="center">69</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2">
<title>RNA preparation and qRT-PCR</title>
<p>We extracted total RNA from GC FFPE samples utilizing miRNeasy FFPE Kit (QIAGEN, Germany) following manufacturer&#x2019;s instruction. Then, we used the NanoDrop 2000 spectrophotometer (Thermo Scientific, Germany) to determine the concentration and purity of all RNA extracts.</p>
<p>miRNA-146a-5p levels were determined utilizing stem&#x2013;loop reverse transcription and qRT-PCR according to the previous literature (<xref ref-type="bibr" rid="B18">Jung et al., 2020</xref>). All reagents and consumables were purchased from Thermo Scientific (Germany). We carried out qRT-PCR three times and calculated by using the 2<sup>&#x2212;&#x394;CT</sup> method (<xref ref-type="bibr" rid="B4">Calin and Croce, 2006</xref>; <xref ref-type="bibr" rid="B8">Damanti et al., 2021</xref>), where &#x394;Ct &#x3d; Ct<sub>miRNA-146a-5p</sub>-Ct<sub>U6</sub>. CDC14A mRNA levels were tested three times, and the results were processed utilizing the 2<sup>&#x2212;&#x394;&#x394;CT</sup> method, where &#x394;&#x394;Ct &#x3d; &#x394;Ct <sub>miRNA-146a-5p</sub>-&#x394;Ct <sub>NC</sub> and &#x394;Ct &#x3d; Ct <sub>CDC14A</sub>-Ct <sub>&#x3b2;-actin</sub>. All primers employed in stem&#x2013;loop reverse transcription together with qRT-PCR are summarized in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Primers utilized for stem&#x2013;loop RT as well as qRT-PCR.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Primer</th>
<th align="left">Sequence</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">U6-F</td>
<td align="left">5&#x2032;-CTC&#x200b;GCT&#x200b;TCG&#x200b;GCA&#x200b;GCA&#x200b;CA-3&#x2032;</td>
</tr>
<tr>
<td align="left">U6-R</td>
<td align="left">5&#x2032;-AAC&#x200b;GCT&#x200b;TCA&#x200b;CGA&#x200b;ATT&#x200b;TGC&#x200b;GT-3&#x2032;</td>
</tr>
<tr>
<td align="left">miRNA-146a-5p-RT</td>
<td align="left">5&#x2032;-GTC&#x200b;GTA&#x200b;TCC&#x200b;AGT&#x200b;GCA&#x200b;GGG&#x200b;TCC&#x200b;GAG&#x200b;GTA&#x200b;TTC&#x200b;GCA&#x200b;CTG&#x200b;GAT&#x200b;ACG ACCACAAACC-3&#x2032;</td>
</tr>
<tr>
<td align="left">miRNA-146a-5p-F</td>
<td align="left">5&#x2032;-GCT&#x200b;AGC&#x200b;AGC&#x200b;ACA&#x200b;TAA&#x200b;TGG&#x200b;TTT&#x200b;GTG-3&#x2032;</td>
</tr>
<tr>
<td align="left">miRNA-146a-5p-R</td>
<td align="left">5&#x2032;-GTG&#x200b;CAG&#x200b;GGT&#x200b;CCG&#x200b;AGG&#x200b;TAT&#x200b;TC-3&#x2032;</td>
</tr>
<tr>
<td align="left">CDC14A-F</td>
<td align="left">5&#x2032;-TAC&#x200b;AAA&#x200b;AGG&#x200b;ACA&#x200b;TCC&#x200b;AAG&#x200b;AGC&#x200b;AG-3&#x2032;</td>
</tr>
<tr>
<td align="left">CDC14A-R</td>
<td align="left">5&#x2032;-TGG&#x200b;CAC&#x200b;CCG&#x200b;AAG&#x200b;ACA&#x200b;AAG&#x200b;A-3&#x2032;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>F, forward; R, reverse; RT, reverse transcription.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-3">
<title>miRNA microarray analysis</title>
<p>Microarrays were operated in four GC samples as well as four paired paracarcinomatous samples. Affymetrix miRNA 3.0 technology platforms, incorporating 1,733 mature human miRNAs, were adopted. Then, total RNA was spiked utilizing MicroRNA Spike-In Kit (Agilent Technologies), labeled using miRNA Complete Labeling and Hyb Kit (Agilent Technologies), hybridized to human miRNA microarrays, washed, and stained, followed by fluorescent signal intensities detection through the Affymetrix Scanner 3000. All of the aforementioned concrete steps were conducted in line with their manufacturer&#x2019;s protocols.</p>
<p>Expression Console 1.3.1 (Affymetrix) was used for dissecting images to gain primitive information, followed by RMA normalization. Then, GeneSpring 12.5 (Agilent Technologies) was used as our analytical and visualization tool for microarrays. Furthermore, we adopted probes that possess flags in &#x201c;P" in at least one group of the whole samples for a thorough study. Divergently expressed miRNAs were subsequently detected via fold change, where &#x2265; 2-fold differential expression implies upregulation of miRNA, along with a <italic>p</italic>-value &#x2264;0.05 that implies downregulation of miRNA. In addition, we applied unsupervised hierarchical clustering to display the differences in the miRNA expression profiles amid the specimens.</p>
</sec>
<sec id="s2-4">
<title>miRNA mimics and cell transfection</title>
<p>MKN-28, MGC803, SGC-7901, and GES-1 cell lines were purchased from ATCC (Rockville, MD) and cultured in complete media (Dulbecco&#x2019;s modified Eagle media (DMEM) (Gibco BRL, Grand Island, New York)) supplemented with 15% fetal bovine serum (FBS), and then they were incubated at 37&#xb0;C in 5% CO<sub>2</sub>. Negative control (NC) and miRNA-146a-5p mimics were generated and purchased from GenePharma (Shanghai, China). Utilizing Lipofectamine&#x2122; 2000 (Invitrogen), transfection of NC or miRNA-146a-5p mimics was performed separately on MKN-28 cells at a concentration of 100&#xa0;nM, following the manufacturer&#x2019;s guidance.</p>
<sec id="s2-4-1">
<title>Cell cycle as well as apoptosis assays</title>
<p>Post-transfection 48&#xa0;h, cells were washed twice with phosphate buffered saline (PBS) and then resuspended in &#xd7;1 binding buffer, followed by mixing with 500&#xa0;&#x3bc;L propidium iodide (PI) [20&#xa0;&#x3bc;g/mL PI, 50&#xa0;&#x3bc;L/mL RNaseA, and 0.02% NP40 in PBS] with roughly 0.5 x 10<sup>6</sup> cells at 4&#xb0;C for 30&#xa0;min. DNA quantification was implemented using the FACS Calibur instrument (Becton Dickinson, Mountain View, CA) and CellQuest software (Becton Dickinson). Through 12-h serum starvation and &#x223c;18-h 2&#xa0;mM hydroxyurea (HU) treatment, cells synchronized in G1/S transition. We identified cell apoptosis through fluorescein isothiocyanate (FITC) Annexin V Apoptosis Detection Kit (BD Pharmingen), following manufacturer&#x2019;s suggested procedure. The whole experiment was conducted in triplicate.</p>
</sec>
<sec id="s2-4-2">
<title>Cell proliferation assay</title>
<p>Cells were loaded into a 96-well plate with a density of 3 &#xd7; 10<sup>5</sup> cells/mL by 0.1 mL/well, followed by miRNA-146a-5p mimics or NC transfection. We chose cell counting kit-8 (CCK-8) to test the absorbance values (OD<sub>450nm</sub>) using a microplate reader (BioTek) every 24&#xa0;h for 5&#x2013;7 consecutive days. All experiments were conducted in triplicate.</p>
</sec>
</sec>
<sec id="s2-5">
<title>Effects of miRNA-146a-5p on CDC14A levels</title>
<p>MiRNAorg, TargetScan, and PITA database were utilized for seeking the joint targets of miRNA-146a-5p in humans, with the pictures plotted using a Venn diagram as well as Cytoscape (version 3.7.0).</p>
<p>MKN-28 cells cultured normally <italic>in vitro</italic> were equally inoculated in six-well plates with 3 &#xd7; 10<sup>5</sup> cells in a volume of 1,000&#xa0;&#x3bc;L media per well. The miRNA-146a-5p mimics and NC were transfected based on the suggested protocol utilizing Lipofectamine&#x2122; 2000. Then, we employed Western blotting (WB) to detect the CDC14A protein expression levels in the cells 48&#xa0;h after transfection. Concrete steps of experiments demonstrating the effects of miRNA-146a-5p mimics and NC on CDC14A were performed as described in previous studies (<xref ref-type="bibr" rid="B20">Li et al., 2014</xref>; <xref ref-type="bibr" rid="B19">Kang et al., 2021</xref>).</p>
<sec id="s2-5-1">
<title>CDC14A-3&#x2032;-UTR luciferase reporter assay</title>
<p>We augmented the 3&#x2032;-UTR elements of <italic>CDC14A</italic> gene from noncancerous tissues, accompanied by a straight sub-cloning stop codon of Renilla luciferase of psiCHECK2. Primers employed for amplification were as follows: CDC14A 3&#x2032;-UTR-F: 5&#x2032;-TAC&#x200b;AAA&#x200b;AGG&#x200b;ACA&#x200b;TCC&#x200b;AAG&#x200b;AGC&#x200b;AG-3&#x2032; as well as CDC14A 3&#x2032;-UTR-R: 5&#x2032;-TGG&#x200b;CAC&#x200b;CCG&#x200b;AAG&#x200b;ACA&#x200b;AAG&#x200b;A-3&#x2019;. <bold>&#x3b2;</bold>-actin was used as an internal control. <bold>&#x3b2;</bold>-actin-F: 5&#x2032;GAT&#x200b;CAT&#x200b;TGC&#x200b;TCC&#x200b;TCC&#x200b;TGA&#x200b;GC-3&#x2032;, <bold>&#x3b2;</bold>-actin-R: 5&#x2032;-ACT&#x200b;CCT&#x200b;GCT&#x200b;TGC&#x200b;TGA&#x200b;TCC&#x200b;AC3&#x2019;; the wild-type and mutant <italic>CDC14A</italic> 3&#x2032;-UTRs were determined through sequencing. To perform luciferase screening, MKN-28 cells were inoculated into 96-well plates with approximately 5 x 10<sup>3</sup> cells/well. After 24&#xa0;h, MKN-28 cells were cotransfected by 25 pmol/well miRNA-146a-5p mimics or NC, together with 500 ng/well psiCHECK2-3&#x2032;-UTR-CDC14A construct or psiCHECK2-3&#x2032;-UTR-CDC14A mutation utilizing Lipofectamine&#x2122; 2000, according to their manufacturer&#x2019;s guidelines. After 48-h cell incubation, firefly and Renilla luciferase activities were detected through dual-luciferase reporter assay (Promega). Then, we normalized Renilla luciferase activity to firefly luciferase activity. Similar to every experiment, we utilized the empty vector as the control, accordingly averaging out adjusted luciferase values. We discretionarily presume a value as &#x201c;1,&#x201d; considering it an antithesis to compare fold-differences of experimental values.</p>
</sec>
</sec>
<sec id="s2-6">
<title>Statistical analysis</title>
<p>Statistical difference was calculated utilizing Student&#x2019;s t-test and analyzed using SPSS 26.0 (SPSS, Chicago, IL, United States). The chi-squared test was applied to assess the relationship between miRNA-146a-5p expression and clinicopathological parameters. Average outcomes were shown as mean &#xb1; standard deviation (SD). <italic>p</italic>-values &#x3c; 0.05 (utilizing a two-tailed paired <italic>t</italic>-test) were regarded as suggestions of remarkable differences between the two groups of data.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>miRNA profiling in GC FFPE samples as well as qRT-PCR</title>
<p>To find out the miRNA which probably inhibits GC proliferation in terms of epigenetic regulation, miRNA microarray assay was conducted in four GC FFPE samples and four paracarcinomatous samples. Among the 40 variously expressed miRNAs, miRNA-146a-5p, miRNA-126, miRNA-212, and miRNA-145 were found to be decreased (<xref ref-type="fig" rid="F1">Figure 1A</xref>). Nevertheless, the functions of miRNA-146a-5p in malignant tumors remain poorly understood. Therefore, our attention was predominantly concentrated on the miRNA-146a-5p.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Differentially expressed miRNAs in GC. <bold>(A)</bold> Color scale demonstrates the comparative levels of miRNAs. &#x201c;Red&#x201d; implies high relative expression, and &#x201c;green&#x201d; implies low relative expression. <bold>(B)</bold> miRNA-146a-5p levels were reduced in GC samples (<italic>n</italic> &#x3d; 132) in contrast to those in paracarcinomatous samples (<italic>n</italic> &#x3d; 66) via stem&#x2013;loop RT-PCR (<italic>p</italic> &#x3c; 0.05). <bold>(C)</bold> Expression of miRNA-146a was analyzed in GC cell lines, MGC803, SGC-7901, and MKN-28, as well as normal gastric epithelial cells, GES-1. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01 versus control.</p>
</caption>
<graphic xlink:href="fcell-11-1181628-g001.tif"/>
</fig>
<p>To test and verify the alterations of the miRNA levels on the miRNA microarray, qRT-PCR was implemented to detect miRNA-146a-5p levels in 132 GC FFPE samples and 66 paracarcinomatous samples. In line with the outcomes demonstrated through miRNA microarray, the decline of miRNA-146a-5p was verified in GC FFPE samples (<italic>p</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F1">Figure 1B</xref>). In addition, the expression of miRNA-146a-5p was similarly remarkably decreased in GC cell lines, MGC803, SGC-7901, and MKN-28, in contrast to the noncancerous gastric epithelial cells, GES-1 (<xref ref-type="fig" rid="F1">Figure 1C</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Association between miRNA-146a-5p expression and clinicopathological characteristics</title>
<p>Comparing the miRNA-146a-5p expression with clinicopathological variables, we observed remarkable positive correlations between miRNA-146a-5p expression and tumor sites (<italic>p</italic> &#x3d; 0.001), Lauren&#x2019;s classification (<italic>p</italic> &#x3c; 0.001), histologic differentiation (<italic>p</italic> &#x3d; 0.014), invasion depth (<italic>p</italic> &#x3c; 0.001), TNM stage (<italic>p</italic> &#x3d; 0.003), and lymph node metastasis (<italic>p</italic> &#x3d; 0.002) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<sec id="s4-1">
<title>Cell apoptosis, cell cycle, and cell proliferation assays</title>
<p>MKN-28 cells were transfected by miRNA-146a-5p mimics or NC at the concentration of 100&#xa0;nM. After 48&#xa0;hours, MKN-28 cells were stained using Annexin V-FITC and PI, followed by flow cytometry detecting cell apoptosis. Our study exhibited that MKN-28 cells transfected by miRNA-146a-5p mimics led to dramatic alterations in the frequency of apoptosis, which is in contrast with the NC group (<italic>p</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F2">Figures 2A, B</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>High miRNA-146a-5p levels enhance cell apoptosis. <bold>(A)</bold> 48&#xa0;h after transfection by 100&#xa0;nM miRNA-146a-5p mimics or NC, MKN-28 cells were stained utilizing Annexin V-FITC along with PI, followed by flow cytometry detecting apoptosis. <bold>(B)</bold> Semiquantitative analysis is shown. Transfection of MKN-28 cells by miRNA-146a-5p mimics led to remarkable alterations of increased apoptosis in contrast to NC (<italic>n</italic> &#x3d; 3, mean &#xb1; SD) (<italic>p</italic> &#x3c; 0.05).</p>
</caption>
<graphic xlink:href="fcell-11-1181628-g002.tif"/>
</fig>
<p>To validate that miRNA-146a-5p resulted in G1 arrest, MKN-28 cells transfected by miRNA-146a-5p mimics synchronized in the G1/S transition via serum deprivation as well as HU treatment. DNA quantification analysis was conducted upon releasing HU. These outcomes exhibited that all miRNA-146a-5p mimic-transfected cells started arresting at the G1 phase, suppressing their G1-to-S phase transition (<italic>p</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F3">Figures 3A, B</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Cell cycle was detected via flow cytometry 48&#xa0;h after transfection of MKN-28 cells by miRNA-146a-5p mimics or NC. <bold>(A)</bold> Flow cytometry demonstrates MKN-28 cell G1 phase arrest, as well as suppression of G1/S transition caused by increased miRNA-146a-5p in contrast to NC. <bold>(B)</bold> Semiquantitative analysis exhibited the relative proportion of cells at G1, S, and G2/M phases (<italic>n</italic> &#x3d; 3, mean &#xb1; SD).</p>
</caption>
<graphic xlink:href="fcell-11-1181628-g003.tif"/>
</fig>
<p>Utilizing CCK-8 assay, our study demonstrated that the cell proliferation of the miRNA-146a-5p mimic-transfected group descended in contrast to the results of the NC group (<italic>p</italic> &#x3c; 0.05), indicating that upregulated miRNA-146a-5p decreased MKN-28 cell proliferation (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>miRNA-146a-5p inhibits MKN-28 cell proliferation. Subsequent to transfection of MKN-28 cells by miRNA-146a-5p mimics or NC, absorbance values (OD<sub>450nm</sub>) were determined using CCK-8 assay every 24&#xa0;h for 5 consecutive days (<italic>n</italic> &#x3d; 3, mean &#xb1; SD) (<italic>p</italic> &#x3c; 0.05).</p>
</caption>
<graphic xlink:href="fcell-11-1181628-g004.tif"/>
</fig>
</sec>
<sec id="s4-2">
<title>CDC14A acts as a target of miRNA-146a-5p</title>
<p>As is known, miRNAs generally exert a crucial influence on cellular behaviors by targeting pivotal downstream genes. To probe the latent intrinsic mechanisms elaborating why miRNA-146a-5p restrained GC cells, two calculation means were applied to assist in determining miRNA-146a-5p targets (<xref ref-type="bibr" rid="B3">Betel et al., 2008</xref>). Bioinformatics analysis suggested that 3&#x2032;-UTR of the <italic>CDC14A</italic> gene incorporates a target site of miRNA-146a-5p, which was purely complementary to the 2&#x2013;8&#xa0;nt of miRNA-146a-5p.</p>
<p>In contrast to the NC group, mRNA levels of CDC14A identified by qRT-PCR declined in the miRNA-146a-5p mimic-transfected group (<italic>p</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F5">Figure 5C</xref>). Consistently, WB experiments on CDC14A protein levels exhibited remarkably reduced CDC14A levels in the miRNA-146a-5p mimic group compared with those in the NC group (<italic>p</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F5">Figures 5A, B</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>CDC14A targeted miRNA-146a-5p via binding to its 3&#x2032;- UTR. <bold>(A, B)</bold> CDC14A protein levels were detected through WB experiments subsequent to transfection of miRNA-146a-5p mimics or NC into MKN-28 cells (<italic>n</italic> &#x3d; 3, mean &#xb1; SD). <bold>(C)</bold> mRNA levels of CDC14A were detected via qRT-PCR subsequent to transfection of miRNA-146a-5p mimics or NC into MKN-28 cells. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01 versus control.</p>
</caption>
<graphic xlink:href="fcell-11-1181628-g005.tif"/>
</fig>
<p>A luciferase reporter vector with the speculative CDC14A-3&#x2032;-UTR target spot for miRNA-146a-5p downstream of psiCHECK2-CDC14A 3&#x2032;-UTR was fabricated. Likewise, we prepared a 10-bp mutant &#x201c;psiCHECK2-CDC14A 3&#x2019;-UTR&#x201d; whose mutation sites were restricted in the seed region (psiCHECK2-CDC14A 3&#x2032;-UTR mutating) (<xref ref-type="fig" rid="F6">Figure 6A</xref>). Luciferase reporter vector, accompanied by miRNA-146a-5p mimics or NC, was co-transfected into MKN-28 cells. It turned out that a considerable decline of relative luciferase activity was observed in the experimental group, of which psiCHECK2-CDC14A 3&#x2032;-UTR was co-transfected by miRNA-146a-5p mimics rather than NC (<xref ref-type="fig" rid="F6">Figure 6B</xref>). Nevertheless, the inhibition was abrogated via mutating the 3&#x2032;-UTR where miRNA-146a-5p binds to (psiCHECK2-CDC14A 3&#x2032;-UTR mutating), hence disturbing the interaction between miRNA-146a-5p and <italic>CDC14A</italic>-3&#x2032;-UTR (<xref ref-type="fig" rid="F6">Figure 6C</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>miRNA-146a-5p targets <italic>CDC14A</italic> gene. <bold>(A)</bold> Presumptive miRNA-146a-5p binding site in the <italic>CDC14A</italic> gene 3&#x2032;-UTR. <bold>(B, C)</bold> Luciferase activity assays of luciferase reporters with wild-type or mutant <italic>CDC14A</italic> 3&#x2032;-UTR were carried out subsequent to the Renilla luciferase activity (<italic>n</italic> &#x3d; 3, mean &#xb1; SD). &#x2a;<italic>p</italic> &#x3c; 0.05 versus control.</p>
</caption>
<graphic xlink:href="fcell-11-1181628-g006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>miRNAs have been proven by abundant studies to exert a significant effect on the progression of the malignant phenotype of GC, featuring increased cell survival, proliferation, tumor angiogenesis, dedifferentiation, and generation of cell stemness (<xref ref-type="bibr" rid="B10">Dragomir et al., 2022</xref>; <xref ref-type="bibr" rid="B33">Smolarz et al., 2022</xref>). Identification of the biological importance of disordered miRNAs in GC cells fills a few dissociated gaps formerly reported and offers a model system by which the effects of miRNA on tumorigenesis as well as tumor progression may be further apprehended. Furthermore, it has been validated that alterations in the expression level of specific miRNAs may stand for a novel type of an indicator of the existence and deterioration of GC, hence possessing diagnostic or therapeutic merits (<xref ref-type="bibr" rid="B6">Condrat et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Wu et al., 2020</xref>; <xref ref-type="bibr" rid="B12">Ho et al., 2022</xref>).</p>
<p>As we all know, dysregulated miRNAs exert a crucial influence on carcinogenesis and cancer progression (<xref ref-type="bibr" rid="B24">Matsuyama and Suzuki, 2019</xref>). We demonstrated that miRNA-146a-5p was downregulated in GC tissues according to our results. Furthermore, we also observed that miRNA-146a-5p may function as an oncosuppressor miR to suppress cell proliferation through intercepting the G1/S transition of GC cells. That is to say, decreased miRNA-146a-5p levels in GC cells and tissues probably function to facilitate cell multiplication via attenuating the cell cycle.</p>
<p>Previous reports indicated that miRNA-146a-5p affects the apoptosis and proliferation of cells by regulating the signaling pathways (<xref ref-type="bibr" rid="B40">Zhang et al., 2015</xref>; <xref ref-type="bibr" rid="B26">Noorolyai et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Noorolyai et al., 2021</xref>). Substantial studies suggested that upregulation of miRNA-146a-5p restricted cell growth, confined migration, arrested cells at the G1 phase, and promoted cellular apoptosis (<xref ref-type="bibr" rid="B14">Huang et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Zhu et al., 2020</xref>; <xref ref-type="bibr" rid="B9">Ding et al., 2021</xref>). Therefore, our results are consistent with previous reports. CCK-8 assays and flow cytometry analysis were employed in our research to identify the roles of miRNA-146a-5p in MKN-28 cells. These outcomes of our research coincide with preceding studies concerning the actions of miRNA-146a-5p in other kinds of cancers.</p>
<p>CDC14A aberrant expression can lead to spindle structural damage, the separation of chromosomes, and cytoplasmic abnormal segregation (<xref ref-type="bibr" rid="B23">Mailand et al., 2002</xref>; <xref ref-type="bibr" rid="B37">Villarroya-Beltri et al., 2022</xref>). Previous research studies showed that CDC14A overexpression leads to chromosome structural damage and inhibits the regeneration of chromosomal microtubules, thus influencing the spindle shape and resulting in its dysfunction (<xref ref-type="bibr" rid="B36">V&#xe1;zquez-Novelle et al., 2010</xref>; <xref ref-type="bibr" rid="B13">Hu et al., 2019</xref>). Therefore, CDC14A may play an important role in every step of mitosis (<xref ref-type="bibr" rid="B17">Ji et al., 2012</xref>; <xref ref-type="bibr" rid="B28">Ovejero et al., 2018</xref>; <xref ref-type="bibr" rid="B15">Huang et al., 2020</xref>). As a result, CDC14A can serve as one of the most significant molecules involved in regulating the cell cycle through the mechanism of regulating the expression of multiple related genes. We discovered that miRNA-146a-5p induced the decline of CDC14A expression, thus causing suppressed cell cycle progression and enhanced cell apoptosis. To sum up, we extrapolate that miRNA-146a-5p affects MKN-28 cell proliferation and apoptosis through manipulating the expression of CDC14A.</p>
<p>Collectively, miRNA-146a-5p levels were decreased in GC cells and tissues, and a converse influence on CDC14A protein levels was confirmed. miRNA-146a-5p may be involved in manipulating cell cycle arrest as well as prompting cell apoptosis of GC cells, probably through directly targeting CDC14A. As a result, miRNA-146a-5p may be implicated in the occurrence and development of GC and may be conducive as a novel prognostic marker and therapeutic tool.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Jiangxi Provincial People&#x2019;s Hospital, The First Affiliated Hospital of Nanchang Medical College. Written informed consent for participation was not required for this study in accordance with national legislation and institutional requirements.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>Conception: QS. Interpretation or analysis of data: PJ, BL, ZZ, and BF. Preparation of the manuscript: PJ and BL. Revision for important intellectual content: LZ, ZZ, ZM, and QL. Supervision: WY and QS. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was financially supported by the Scientific Research Projects of Jiangxi Provincial Health Commission (202130003), the Scientific Research Projects of Jiangxi Administration of Traditional Chinese Medicine (2021A370), and the Scientific Research Projects of Department of Education of Jiangxi Province (GJJ218909).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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 sec-type="disclaimer" id="s11">
<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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