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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.2024.1390743</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>The diagnostic and prognostic role of miR-146b-5p in differentiated thyroid carcinomas</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ferraz</surname>
<given-names>Carolina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Cunha</surname>
<given-names>Gustavo Bittar</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>de Oliveira</surname>
<given-names>Mariana Mazeu Barbosa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Ten&#xf3;rio</surname>
<given-names>Lucas Ribeiro</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Cury</surname>
<given-names>Adriano Namo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Padovani</surname>
<given-names>Ros&#xe1;lia do Prado</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Ward</surname>
<given-names>Laura Sterian</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Thyroid Diseases Unit - Division of Endocrinology, Department of Medicine, Faculty of Medical Sciences/Irmandade da Santa Casa de Miseric&#xf3;rdia de S&#xe3;o Paulo</institution>, <addr-line>S&#xe3;o Paulo</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Division of Head and Neck Surgery, Department of Surgery, Irmandade da Santa Casa de Miseric&#xf3;rdia de S&#xe3;o Paulo</institution>, <addr-line>S&#xe3;o Paulo</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Laboratory of Cancer Molecular Genetics, School of Medical Sciences, State University of Campinas (UNICAMP)</institution>, <addr-line>Campinas, S&#xe3;o Paulo</addr-line>, <country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Cristina Alina Silaghi, University of Medicine and Pharmacy Iuliu Hatieganu, Romania</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Anello Marcello Poma, University of Pisa, Italy</p>
<p>Ricardo Adrian Nugraha, Airlangga University, Indonesia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Carolina Ferraz, <email xlink:href="mailto:carolina.ferraz.endocrinologia@gmail.com">carolina.ferraz.endocrinologia@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1390743</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Ferraz, Cunha, de Oliveira, Ten&#xf3;rio, Cury, Padovani and Ward</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Ferraz, Cunha, de Oliveira, Ten&#xf3;rio, Cury, Padovani and Ward</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Samples classified as indeterminate correspond to 10-20% of cytologies obtained by fine needle biopsy of thyroid nodules, preventing an adequate distinction between benign and malignant lesions and leading to diagnostic thyroidectomies that often prove unnecessary, as most cases are benign. Furthermore, although the vast majority of patients with differentiated thyroid cancer (DTC) have such a good prognosis that active surveillance is permitted as an initial therapeutic option, relapses are not rare, and a non-negligible number of patients experience poor outcomes. MicroRNAs (miR) emerge as potential biomarkers capable of helping to define more precise management of patients in all these situations.</p>
</sec>
<sec>
<title>Methods</title>
<p>Aiming to investigate the clinical utility of miR-146b-5p in the diagnostic of thyroid nodules and evaluating its prognostic potential in a realworld setting, we studied 89 thyroid nodule samples, correlating miR-146b-5p expression with clinical tools such as the 8th edition from the American Joint Committee on Cancer (AJCC/UICC) and the American Thyroid Association Guideline Stratification Systems for the rate of recurrence (RR).</p>
</sec>
<sec>
<title>Results</title>
<p>miR-146b-5p expression levels distinguished benign from malignant thyroid FNA samples (p&lt; 0.0001). For indeterminate nodules, overexpression of miR-146b-5p with a cut-off of 0.497 was able to diagnose malignancy with a 90% accuracy; specificity=87.5%; sensitivity=100%. An increased expression of miR-146b-5p was associated with greater RR (p=0.015). A cut-off of 2.21 identified cases with more vascular involvement (p=0.013) and a cut-off of 2.420 was associated with a more advanced TNM stage (p-value=0.047).</p>
</sec>
<sec>
<title>Discussion</title>
<p>We demonstrated that miR-146b5p expression in FNA samples is able to differentiate benign from malignant indeterminate nodules and is associated with an increased risk of recurrence and mortality, suggesting that this single miRNA may be a useful diagnostic and prognostic marker in the personalized management of DTC patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>thyroid cancer</kwd>
<kwd>diagnostic</kwd>
<kwd>prognostic factors</kwd>
<kwd>microRNA</kwd>
<kwd>MiR-146b</kwd>
</kwd-group>
<contract-sponsor id="cn001">Funda&#xe7;&#xe3;o de Amparo &#xe1; Pesquisa do Estado de S&#xe3;o Paulo<named-content content-type="fundref-id">10.13039/501100001807</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="35"/>
<page-count count="7"/>
<word-count count="3215"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Thyroid Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>A recent systematic review and meta-analysis shows that, regardless of the country&#x2019;s development and economic situation, thyroid nodules are diagnosed in almost 25% of the world&#x2019;s population and their incidence has been increasing in recent years (<xref ref-type="bibr" rid="B1">1</xref>). Differentiated thyroid carcinomas (DTCs) have a prevalence of approximately 5%, which makes them the most common malignant tumors of the endocrine system and one of the 10<sup>th</sup> most common cancers in the population (<xref ref-type="bibr" rid="B2">2</xref>). According to the most recent consensuses, ultrasound (US) guided fine needle aspiration (FNA) is the procedure of choice for further evaluation of suspicious thyroid nodules (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Under optimal conditions, the cytology thus obtained classifies 60&#x2013;80% of nodules as benign and 3.5&#x2013;5% as malignant (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Unfortunately, up to 30% of the FNA samples are classified as indeterminate and cannot distinguish between benign and malignant lesions (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Due to the variety of diagnostic possibilities associated with indeterminate cytologies, patients with this cytological diagnosis are often subjected to diagnostic surgeries because of the risk of malignancy, which is benign in the vast majority of cases (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). However, recent advances in available molecular tests have proven effective in further risk stratifying aspirates to improve the diagnostic certainty of indeterminate thyroid nodules and even have the potential to select patients for targeted therapy, leading to their recommendation for use in certain cases (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>On the other hand, although DTCs are mostly indolent and have excellent survival rates, up to 30% will have locoregional or distant metastatic recurrence 10 or 20 years after diagnosis (<xref ref-type="bibr" rid="B7">7</xref>). Furthermore, there is evidence of an increase in the incidence of advanced-stage disease in recent years, which confers a poorer prognosis (<xref ref-type="bibr" rid="B8">8</xref>). Molecular markers aimed at identifying these patients at early stages, thus optimizing the initial approach and perhaps reducing the risk of disease recurrence are extremely necessary.</p>
<p>After thyroidectomy, patients with DTC are currently assessed for mortality risk using the tumor-node-metastasis (TNM) classification according to the 8th edition of the American Joint Committee on Cancer (AJCC), which takes into account the patient&#x2019;s age, size of the primary tumor, the number and location of metastatic lymph nodes, and the presence of distant metastases (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B9">9</xref>). On the other hand, the American Thyroid Association (ATA) focuses on the risk of recurrence or persistence of the disease, proposing another stratification that divides patients into low, intermediate and high risk (<xref ref-type="bibr" rid="B3">3</xref>). This classification is based on histological characteristics such as size of the primary tumor, vascular involvement, extrathyroidal spread of the tumor, histological subtype, multifocal disease and lymph node involvement (<xref ref-type="bibr" rid="B3">3</xref>). The presence of BRAFV600E and TERT mutation is also validated as an additional tool in the prognosis of these patients, upstaging a low risk intrathyroidal &lt;4 cm wild type BRAF papillary thyroid carcinoma (PTC) into high risk when these mutations are present (<xref ref-type="bibr" rid="B3">3</xref>). A third strategy is routinely employed in the follow-up of patients according to ATA guidelines: dynamic risk stratification of response to initial therapy (RCIT) (<xref ref-type="bibr" rid="B3">3</xref>). Periodic evaluation for biochemical or structural evidence of disease involves neck US, basal and stimulated serum thyroglobulin (Tg), as well as measurement of anti-thyroglobulin (anti-Tg) antibodies (<xref ref-type="bibr" rid="B3">3</xref>). Unfortunately, these tests have low positive predictive value and low specificity (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>MicroRNAs (miRNAs) are small, non-coding RNAs that regulate protein expression and play important roles in many biological processes including oncogenesis, progression, angiogenesis and metastasis (<xref ref-type="bibr" rid="B13">13</xref>). miRNAs dysregulation has been actively investigated in search of biomarkers for early diagnosis, prognosis, monitoring and treatment of multiple types of cancer, including differentiated thyroid carcinomas (<xref ref-type="bibr" rid="B14">14</xref>). An increase in aberrant miRNA expression, particularly of miR-222, miR-221 and miR-146b-5p. has been demonstrated in PTCs compared to normal thyroid tissues, but their clinical utility remains to be further demonstrated (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>To better describe the role of these miRNAs in clinical practice, our group has been studying the role of each of these miRNAs in a cohort of patients (data not yet published). Because miR-146b-5p appears very promising, we aimed to evaluate the performance of this unique miR-146b-5p expression in fine-needle aspiration biopsy (FNAB) material as a diagnostic and prognostic marker in patients with thyroid nodules in a real-world setting, in comparison to the two systems of currently used prognostic staging: TNM mortality risk (MR) and ATA risk of disease persistence/recurrence (RR).</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>FNAB sampling and data collection</title>
<p>This study was approved by the local Human Research Ethics Committee of the Hospital Santa Casa de S&#xe3;o Paulo (CAAE: 38456414.7.0000.5479), and written informed consent was obtained from all patients whose clinical samples were used in this research.</p>
<p>A total of 102 FNA samples were obtained from patients consecutively referred for thyroid thyroidectomy for nodular disease in Santa Casa de S&#xe3;o Paulo, a tertiary care academic medical center. MR was assessed according to the 8th edition of the AJCC/UICC TNM classification, while RR was classified according to the last edition of the American Thyroid Association Guidelines3.</p>
<p>FNA nodule biopsy was performed intraoperatively with a 24-gauge needle inserted into the thyroid nodule under surgeon guidance, and two to three passes were used to collect the cytological specimen, which was suspended in TRIzol (Invitrogen), frozen, and stored at -80&#xb0;C. Some nodules were diagnosed only intraoperatively and not seen before with ultrasound; thus, information about Bethesda category for these nodules was not available.</p>
<p>Another 40 patients also referred for surgery and whose final histological diagnosis was benign constituted the control group. Referral for surgery was based on assessment of the clinical characteristics of the nodule and personal preferences of each patient.</p>
</sec>
<sec id="s2_2">
<title>RNA extraction, reverse transcription, and real-time PCR</title>
<p>FNAB samples in Trizol frozen at -80&#xb0;C were used for total RNA extraction. Total RNA was extracted and reverse transcribed to cDNA according to standard protocol by the miRNeasy Micro Kit (Qiagen<sup>&#xae;</sup>) and the miScript<sup>&#xae;</sup> II RT Kit (Qiagen<sup>&#xae;</sup>) respectively. Quantity and quality of RNA yield was assessed using the NanoDrop 2.000 (Thermo Scientific<sup>&#xae;</sup>). Reverse transcription was carried out for each miRNA using 7500 Real Time PCR System (Applied Biosystems) using a maximum of 200 ng of total RNA in 10uL for a 15&#xb5;L final reaction of cDNA.</p>
<p>miRNA levels were determined in FNA specimens using RT-PCR by miScript<sup>&#xae;</sup> SYBR<sup>&#xae;</sup> Green PCR Kit (Qiagen<sup>&#xae;</sup>) according to manufacturer instructions. RT-PCR was carried out in an ABI PRISM 7500 Sequence Detection System. A total of 40 cycles of amplification were carried out, each cycle consisting of 15 seconds at 94&#xb0;C, 30 seconds at 55&#xb0;C, and 30 seconds at 70&#xb0;C according to the standard protocol. SNORD95 was used as a normalizing gene, and Ct values were used for data analysis. All samples were evaluated in duplicated analysis.</p>
</sec>
<sec id="s2_3">
<title>Statistical analysis</title>
<p>Statistical analysis of RT-PCR was achieved using 2<sup>(-&#x394;CT)</sup> with a reference gene, and Mann-Whitney test to determine the significance of different levels of miRNA expression. We employed Receiver Operating Characteristic (ROC) curves to analyze the diagnostic efficacy of the differentially expressed miRNAs. ROC curves were constructed using XLSTAT software. The XLSTAT program utilizes the Youden Index to select the optimal cutoff point. Mann-Whitney tests was used to determine the significance of different levels of miRNAs expression.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>The 89 evaluated cases included 49 patients whose characteristics are described in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and who presented a profile compatible with the reality of cases currently observed in a tertiary medical center. However, after excluding samples with Ct values &gt; 35 cycles in real-time PCR (RT-PCR), only 89 patients whose demographic and pathological characteristics are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> were further investigated.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic data of the thyroid nodules patients submitted to surgery and pathological features and demographic data of the malignant samples.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="right">Number of cases</th>
<th valign="top" align="right">(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="center">Histology</td>
<td valign="top" align="right">Benign</td>
<td valign="top" align="right">40</td>
<td valign="top" align="right">44,94</td>
</tr>
<tr>
<td valign="top" align="right">Malignant</td>
<td valign="top" align="right">49</td>
<td valign="top" align="right">55,06</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">Age</td>
<td valign="top" align="right">&lt; 55 years</td>
<td valign="top" align="right">53</td>
<td valign="top" align="right">59,55</td>
</tr>
<tr>
<td valign="top" align="right">&gt; 55 years</td>
<td valign="top" align="right">36</td>
<td valign="top" align="right">40,45</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">Gender</td>
<td valign="top" align="right">Female</td>
<td valign="top" align="right">72</td>
<td valign="top" align="right">80,90</td>
</tr>
<tr>
<td valign="top" align="right">Male</td>
<td valign="top" align="right">17</td>
<td valign="top" align="right">19,10</td>
</tr>
<tr>
<td valign="top" rowspan="12" align="center">Histology</td>
<td valign="top" align="right">classic subtype -PTC</td>
<td valign="top" align="right">34</td>
<td valign="top" align="right">38,20</td>
</tr>
<tr>
<td valign="top" align="right">follicular cell-derived neoplasms*</td>
<td valign="top" align="right">8</td>
<td valign="top" align="right">8,99</td>
</tr>
<tr>
<td valign="top" align="right">FTC</td>
<td valign="top" align="right">1</td>
<td valign="top" align="right">1,12</td>
</tr>
<tr>
<td valign="top" align="right">Insular subtype -PTC</td>
<td valign="top" align="right">1</td>
<td valign="top" align="right">1,12</td>
</tr>
<tr>
<td valign="top" align="right">diffuse scleroing subtype PTC</td>
<td valign="top" align="right">1</td>
<td valign="top" align="right">1,12</td>
</tr>
<tr>
<td valign="top" align="right">oncocytic subtype -PTC</td>
<td valign="top" align="right">3</td>
<td valign="top" align="right">3,37</td>
</tr>
<tr>
<td valign="top" align="right">Warthin-smile subtype -PTC</td>
<td valign="top" align="right">1</td>
<td valign="top" align="right">1,12</td>
</tr>
<tr>
<td valign="top" align="right">chronic thyroiditis</td>
<td valign="top" align="right">3</td>
<td valign="top" align="right">3,37</td>
</tr>
<tr>
<td valign="top" align="right">Thyroid follicular nodular disease</td>
<td valign="top" align="right">27</td>
<td valign="top" align="right">31,46</td>
</tr>
<tr>
<td valign="top" align="right">Oncocytic cell adenomas</td>
<td valign="top" align="right">1</td>
<td valign="top" align="right">1,12</td>
</tr>
<tr>
<td valign="top" align="right">lipoadenoma</td>
<td valign="top" align="right">2</td>
<td valign="top" align="right">2,25</td>
</tr>
<tr>
<td valign="top" align="right">follicular adenoma</td>
<td valign="top" align="right">7</td>
<td valign="top" align="right">7,87</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="center">FNA</td>
<td valign="top" align="right">Bethesda I</td>
<td valign="top" align="right">2</td>
<td valign="top" align="right">2,25</td>
</tr>
<tr>
<td valign="top" align="right">Bethesda II</td>
<td valign="top" align="right">18</td>
<td valign="top" align="right">20,22</td>
</tr>
<tr>
<td valign="top" align="right">Bethesda III</td>
<td valign="top" align="right">13</td>
<td valign="top" align="right">14,61</td>
</tr>
<tr>
<td valign="top" align="right">Bethesda IV</td>
<td valign="top" align="right">7</td>
<td valign="top" align="right">7,87</td>
</tr>
<tr>
<td valign="top" align="right">Bethesda V</td>
<td valign="top" align="right">18</td>
<td valign="top" align="right">20,22</td>
</tr>
<tr>
<td valign="top" align="right">Bethesda VI</td>
<td valign="top" align="right">17</td>
<td valign="top" align="right">19,10</td>
</tr>
<tr>
<td valign="top" align="right">Unclassified**</td>
<td valign="top" align="right">14</td>
<td valign="top" align="right">15,73</td>
</tr>
<tr>
<td valign="top" align="right" rowspan="2">extra thyroid extension</td>
<td valign="top" align="right">Absent</td>
<td valign="top" align="right">32</td>
<td valign="top" align="right">65,31</td>
</tr>
<tr>
<td valign="top" align="right">Present</td>
<td valign="top" align="right">17</td>
<td valign="top" align="right">34,69</td>
</tr>
<tr>
<td valign="top" align="right" rowspan="2">vascular involvement</td>
<td valign="top" align="right">Absent</td>
<td valign="top" align="right">32</td>
<td valign="top" align="right">65,31</td>
</tr>
<tr>
<td valign="top" align="right">Present</td>
<td valign="top" align="right">17</td>
<td valign="top" align="right">34,69</td>
</tr>
<tr>
<td valign="top" align="right" rowspan="2">capsular involvement</td>
<td valign="top" align="right">Absent</td>
<td valign="top" align="right">31</td>
<td valign="top" align="right">63,27</td>
</tr>
<tr>
<td valign="top" align="right">Present</td>
<td valign="top" align="right">18</td>
<td valign="top" align="right">36,73</td>
</tr>
<tr>
<td valign="top" align="right" rowspan="2">multifocal disease</td>
<td valign="top" align="right">Absent</td>
<td valign="top" align="right">21</td>
<td valign="top" align="right">42,86</td>
</tr>
<tr>
<td valign="top" align="right">Present</td>
<td valign="top" align="right">28</td>
<td valign="top" align="right">57,14</td>
</tr>
<tr>
<td valign="top" align="right" rowspan="2">lymph node disease</td>
<td valign="top" align="right">Absent</td>
<td valign="top" align="right">34</td>
<td valign="top" align="right">69,39</td>
</tr>
<tr>
<td valign="top" align="right">Present</td>
<td valign="top" align="right">15</td>
<td valign="top" align="right">30,61</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Include 5 non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) and 3 invasive encapsulated follicular subtype PTC.</p>
</fn>
<fn>
<p>**nodules incidentally diagnosed intraoperatively without previous cytological diagnosis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Most of the patients were classified in TNM stage I, as shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, had a low RR and presented an excellent evolution. Noteworthy, there were 38 (42.69%) FNA samples that were classified as Bethesda III, IV and V. Considering that the patients with Bethesda V would have been referred to surgery due to their high risk of malignancy, we further focused in the 20 patients (22.47%) whose cytology was considered indeterminate (Bethesda III and IV).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Prognostic staging of the 49 thyroid cancer patients for their risk of mortality according to the 8th edition of the AJCC/UICC (TNM); for their risk of disease recurrence (RR) according to the American Thyroid Association Guidelines.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Classification</th>
<th valign="top" align="left">Frequency</th>
<th valign="top" align="right">(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="3" align="right">Risk of mortality (TNM)</td>
<td valign="top" align="right">I</td>
<td valign="top" align="right">41</td>
<td valign="top" align="right">83,67</td>
</tr>
<tr>
<td valign="top" align="right">II</td>
<td valign="top" align="right">7</td>
<td valign="top" align="right">14,28</td>
</tr>
<tr>
<td valign="top" align="right">IVB</td>
<td valign="top" align="right">1</td>
<td valign="top" align="right">2</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="right">Risk of recurrence (RR)</td>
<td valign="top" align="right">Low</td>
<td valign="top" align="right">23</td>
<td valign="top" align="right">46,94</td>
</tr>
<tr>
<td valign="top" align="right">Intermediate</td>
<td valign="top" align="right">16</td>
<td valign="top" align="right">32,65</td>
</tr>
<tr>
<td valign="top" align="right">High</td>
<td valign="top" align="right">10</td>
<td valign="top" align="right">20,41</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Using a cut-off value of 0.497, the expression of miR-146b-5p was able to differentiate malignant from benign tissues (p &lt; 0.0001) with a specificity of 95,8% and sensitivity of 64,3% as shown in <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f2">
<bold>2</bold>
</xref>. Concerning the 20 FNA obtained samples considered indeterminate, miR-146b-5p diagnosed all 4 malignant cases, with false positive results in only two of the 16 benign samples (accuracy = 90%; specificity = 87,5%; sensitivity = 100%) as illustrated in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>. These two samples turned out to be a colloid nodule and chronic thyroiditis on histology.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>ROC curve of miR-146b-5p expression analysis in 89 thyroid nodules using a cut-off value of 0.497.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1390743-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Heatmap representing the diagnostic profiles of benign and malignant 89 FNA samples according to miR-146b-5p expression considering a cut-off value of 0.497.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1390743-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>ROC curve of miR-146b-5p expression analysis of 20 indeterminate thyroid nodules FNA samples (Bethesda III and IV) considering a cut-off value of 0.497.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1390743-g003.tif"/>
</fig>
<p>Furthermore, an increased expression of miR-146b-5p was associated with higher RR (p = 0,015) as shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>. In this context, miR-146b-5p expression values with 2<sup>(-&#x394;CT)</sup> of 2.21 identified patients at intermediate and high risk for recurrence of DTCs with 81,8% specificity and accuracy of 64,4%. An analysis of histological variables showed that overexpression of miR-146b-5p (2(-&#x394;CT) &gt; 2.21) was associated with vascular invasion (p=0.013). There was no significant association with the presence of extra thyroid invasion, capsular invasion, and lymph node metastasis or multifocal involvement.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Expression values with 2(-&#x394;CT) &gt; 2.21 of miR-146b-5p expression ability in the identification of 26 DTC patients with intermediate and high risk for recurrence.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1390743-g004.tif"/>
</fig>
<p>Regarding the risk of mortality, an expression level of mir-146b-5p higher than 2.420 was associated with a worse TNM stage (p-value = 0.047) as shown 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>Expression levels of mir-146b-5p ability to identify the patient with worse TNM using a cut-off of 2.420.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1390743-g005.tif"/>
</fig>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The management of thyroid cancer is a good example of how &#x201c;one size fits all&#x201d; approaches have become personalized and precision medicine in our days. Molecular markers play a significant role in this context, both from a diagnostic and prognostic point of view. In this study, we demonstrated the clinical utility of mir-146b-5p as a diagnostic and prognostic marker in indeterminate thyroid nodules and in patients with DTC, respectively. Our findings demonstrate in our settings that a cutoff point &gt; 0.497 can differentiate malignant from benign samples, and a cutoff point &gt; 2.21 could modify the RR classification of these tumors.</p>
<p>According to Vargas-Salas et&#xa0;al, the ideal molecular test to evaluate indeterminate thyroid nodules should have a sensitivity above 90%, and specificity higher than 80% (<xref ref-type="bibr" rid="B18">18</xref>). Overexpression of miR-146b-5p proved to be a good diagnostic marker with accuracy&#xa0;= 90%; specificity = 87.5%; sensitivity = 100%.</p>
<p>The diagnostic role of miR-146b-5p for DTC have been endorsed by other groups. In 2017, Qiu et&#xa0;al. showed that the expression levels of miR-146b were significantly higher in thyroid carcinomas than in cancer-free tissues (<xref ref-type="bibr" rid="B19">19</xref>) . More recently, evaluating indeterminate thyroid nodules, Sponziello et&#xa0;al. have also found a high specificity (93%) and PPV (93%), for the overexpression of miR-146b-5p in malignant cases (<xref ref-type="bibr" rid="B20">20</xref>). A significant miR-146b-5p overexpression (&gt; 30-fold) was also observed in PTCs compared to benign thyroid nodules by Agretti et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>). In agreement with our and other studies in FNA samples, Mahmoudian-Sani et&#xa0;al. showed that the up-regulation of miR-146b-5p (cut off = 1.02) was able to sort out malignant cases efficiently (p value = 0.001) (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Currently, two commercially available tests are globally recognized for utilizing a panel of miRNAs in indeterminate samples for diagnostic purposes: ThyraMir (<xref ref-type="bibr" rid="B23">23</xref>) and Mir-THYpe (<xref ref-type="bibr" rid="B24">24</xref>). Both assays incorporate the analysis of miR-146b-5p within the panels. ThyraMir assesses the expression of 10 miRNAs and, in its initial publication, exhibited a sensitivity of 89%, negative predictive value (NPV) of 94%, specificity of 85%, and positive predictive value (PPV) of 74% in indeterminate samples. Conversely, Mir-THYpe evaluates the expression of 11 miRNAs, with validation data correctly classifying 82 of 95 samples (<xref ref-type="bibr" rid="B23">23</xref>), yielding a sensitivity of 94.6%, specificity of 81%, NPV of 95.9%, and PPV of 76.1% (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>We also demonstrated that higher levels of miR-146b-5p expression (cutoff &gt; 2.21) were associated with more aggressive cases presenting vascular invasion, allowing a reclassification of the patient&#x2019;s RR and TNM. Chou et&#xa0;al. found an association between the overexpression of miR-146b-5p in PTC patients with BRAF<sup>V600E</sup> mutation and extrathyroidal invasion (<xref ref-type="bibr" rid="B25">25</xref>). In addition, G&#xf3;mez et&#xa0;al. showed that miR-146b-5p expression had a positive correlation with thyroglobulin levels, even suggesting its possible utility in DTC patients&#x2019; follow up (<xref ref-type="bibr" rid="B17">17</xref>). Higher miR-146b-5p expression has also been associated to lymph node metastasis in PTC patients (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Furthermore, there is evidence that the overexpression of miR-146b-5p could decrease the radioiodine-sensitivity by regulation of the sodium-iodide-symporter (NIS) expression, which could influence therapeutic decisions involving radioiodine uptake (RAIU) (<xref ref-type="bibr" rid="B27">27</xref>). All these data, added to others that indicate that the overexpression of miR-146b-5pis harmful (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>), reinforce our results that demonstrate that these patients are at greater risk of disease recurrence and a consequent worse outcome.</p>
<p>We aimed to reinforce the diagnostic and prognostic roles of miR-146b. However, it is also important to mention other potential roles identified in previous studies. miRNAs are known to regulate signaling pathways, such as MAPK, PI3K, AKT, GSK-3&#x3b2;/&#x3b2;-catenin, Wnt, mTOR, and NF-&#x3ba;B (<xref ref-type="bibr" rid="B31">31</xref>). Recent studies have suggested a possible relationship between miR-146b, BRAF, and RAS mutations. The V600E mutation in BRAF, associated with the upregulation of miR-146b, has been documented (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), and this association typically leads to more aggressive tumor behavior (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Interestingly, the study by Pamedytyte et&#xa0;al. suggests that the miRNA expression profile differs in PTC prone to recurrence compared to PTC that does not recur after the initial surgery (<xref ref-type="bibr" rid="B34">34</xref>). This finding indicates that the frequency of the BRAFV600E mutation does not reflect the recurrence status of PTC, thereby demonstrating an additional role of miR-146b beyond the BRAFV600E mutation (<xref ref-type="bibr" rid="B34">34</xref>). Basolo et&#xa0;al. found that RAS mutations increase the expression of miRNAs with recognized oncogenic roles in benign thyroid tumors (<xref ref-type="bibr" rid="B35">35</xref>). Therefore, when evaluating miRNA expression profiles in thyroid tumors, RAS status should be considered as a confounding factor. Additionally, they demonstrated that certain miRNAs, including miR-146b-5p, can distinguish between benign and malignant follicular-patterned neoplasms, despite morphological similarities and the shared presence of RAS mutations (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>Our study has some limitations. Only 20 samples from our series were classified as indeterminate, making it necessary to analyze a larger sample to better validate the diagnostic power of miR-146b in these cases. Another important point is that the cut-off points found in our study only apply to our cohort. Therefore, they must be validated in other independent groups for generalizability.</p>
<p>To our knowledge, the data presented in this study are the first description of the clinical potential of miR-146-5p as a diagnostic and prognostic marker in a real-world setting. In contrast to most studies, which have sought to analyze a panel of miRNAs, we demonstrated that a single miRNA is capable of assisting in the diagnosis of indeterminate nodules and distinguish patients at higher risk of poorer outcome.</p>
<p>The high costs of molecular tests have been considered the main barrier to their indication in countries with limited financial resources (<xref ref-type="bibr" rid="B32">32</xref>). We suggest that the evaluation of a single miRNA may be sufficient to reduce the number of thyroid nodules diagnostic surgeries and optimize the management of DTC patients who will be better stratified, thus personalizing their treatment while reducing the costs involved in it.</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 Human Research Ethics Committee of Hospital Santa Casa de S&#xe3;o Paulo (Process 2015/00218-1). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>CF: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. GC: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. Md: Conceptualization, Data curation, Formal analysis, Investigation, Validation, Visualization, Writing &#x2013; review &amp; editing. LT: Conceptualization, Data curation, Investigation, Validation, Visualization, Writing &#x2013; review &amp; editing. AC: Conceptualization, Funding acquisition, Investigation, Project administration, Supervision, Visualization, Writing &#x2013; review &amp; editing. RP: Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LW: Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. CF received a financial support by FUNDA&#xc7;&#xc3;O DE AMPARO &#xc0; PESQUISA DO ESTADO DE S&#xc3;O PAULO - FAPESP 2015/00218-1. LW is a member of INCT-TeraNano, CNPq 403193/2022-2.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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