<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "journalpublishing3.dtd">
<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">MCO</journal-id>
<journal-title-group>
<journal-title>Molecular and Clinical Oncology</journal-title>
</journal-title-group>
<issn pub-type="ppub">2049-9450</issn>
<issn pub-type="epub">2049-9469</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">MCO-0-0-02311</article-id>
<article-id pub-id-type="doi">10.3892/mco.2021.2311</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Cytological and molecular diagnosis of H&#x00FC;rthle cell thyroid tumors: Analysis of three cases</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Titov</surname><given-names>Sergei E.</given-names></name>
<xref rid="af1-MCO-0-0-02311" ref-type="aff">1</xref>
<xref rid="af2-MCO-0-0-02311" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Poloz</surname><given-names>Tatiana L.</given-names></name>
<xref rid="af3-MCO-0-0-02311" ref-type="aff">3</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Veryaskina</surname><given-names>Yulia A.</given-names></name>
<xref rid="af1-MCO-0-0-02311" ref-type="aff">1</xref>
<xref rid="af4-MCO-0-0-02311" ref-type="aff">4</xref>
<xref rid="c1-MCO-0-0-02311" ref-type="corresp"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Anishchenko</surname><given-names>Vladimir V.</given-names></name>
<xref rid="af5-MCO-0-0-02311" ref-type="aff">5</xref>
</contrib>
</contrib-group>
<aff id="af1-MCO-0-0-02311"><label>1</label>Department of The Structure and Function of Chromosomes, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk 630090, Russia</aff>
<aff id="af2-MCO-0-0-02311"><label>2</label>AO Vector-Best, Novosibirsk 630117, Russia</aff>
<aff id="af3-MCO-0-0-02311"><label>3</label>Department of Cytopathology, Clinical Hospital RZD-Medicine, Novosibirsk 630003, Russia</aff>
<aff id="af4-MCO-0-0-02311"><label>4</label>Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia</aff>
<aff id="af5-MCO-0-0-02311"><label>5</label>Department of Surgery, Novosibirsk State Medical University, Novosibirsk 630091, Russia</aff>
<author-notes>
<corresp id="c1-MCO-0-0-02311"><italic>Correspondence to:</italic> Ms. Yulia A. Veryaskina, Department of The Structure and Function of Chromosomes, Institute of Molecular and Cellular Biology SB RAS, Lavrentiev Avenue 8/2, Novosibirsk 630090, Russia <email>microrna@inbox.ru</email></corresp>
<fn><p><italic>Abbreviations:</italic> FNAB, fine-needle aspiration biopsy; HCA, H&#x00FC;rthle cell adenoma; HCC, H&#x00FC;rthle cell carcinoma</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>07</month>
<year>2021</year></pub-date>
<pub-date pub-type="epub">
<day>28</day>
<month>05</month>
<year>2021</year></pub-date>
<volume>15</volume>
<issue>1</issue>
<elocation-id>149</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>06</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>11</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Titov et al.</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>The cytological diagnosis of H&#x00FC;rthle cell (oncocytic) thyroid tumors by means of fine-needle aspiration biopsy represents a challenge, as H&#x00FC;rthle cell polymorphism and atypia alone are not indications of malignancy. In our recent work, an original diagnostic algorithm was proposed, which identified and typed malignant thyroid tumors by analyzing the molecular markers of cytological preparations. The aim of the present study was to assess the effectiveness of this algorithm at detecting H&#x00FC;rthle cell thyroid tumors in clinical samples used for cytological examination. Cytological and histological examinations of the biopsy material were performed for three patients with nodular neoplasms. Biopsy material of these patients was analyzed by quantitative PCR using preselected molecular markers &#x005B;normalized concentrations of High-mobility group AT-hook 2 mRNA, three microRNAs (miRNAs or miRs; miR-146b, miR-221 and miR-375) and the mitochondrial (mtDNA)/nuclear DNA ratio&#x005D;. The results revealed that the molecular test determined the malignancy of three cases of H&#x00FC;rthle cell tumor. This method may therefore be used to complement the cytological diagnosis of fine-needle aspiration biopsy. In all three cases, there was an increased content of mtDNA, indicating H&#x00FC;rthle cell malignancies. Furthermore, in the first case &#x005B;H&#x00FC;rthle cell carcinoma (HCC)&#x005D;, increased miRNA-221 content was detected, which also indicated malignancy. In the second case (H&#x00FC;rthle cell papillary thyroid carcinoma), an increased level of miRNA-146b was present, which indicated papillary carcinoma. In the third case (H&#x00FC;rthle cell adenoma), no markers of malignancy were identified. The present study demonstrated that molecular testing together with cytological analysis can reduce the isk of error in the preoperative cytological diagnosis of unclear or ambivalent cases.</p>
</abstract>
<kwd-group>
<kwd>thyroid gland</kwd>
<kwd>H&#x00FC;rthle cell</kwd>
<kwd>fine-needle biopsy</kwd>
<kwd>mitochondrial DNA</kwd>
<kwd>microRNA</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> The present study was supported by the Russian Science Foundation (grant no. 20-14-00074).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Cytological examination of the thyroid gland by fine-needle aspiration biopsy (FNAB) of thyroid nodules is important for the verification of a pathology and for differential diagnosis between benign nodular neoplasms and malignant tumors (<xref rid="b1-MCO-0-0-02311 b2-MCO-0-0-02311 b3-MCO-0-0-02311" ref-type="bibr">1-3</xref>).</p>
<p>Differential diagnosis of H&#x00FC;rthle cell (oncocytic) tumors of the thyroid gland represents a special problem. H&#x00FC;rthle cells are normally associated with lymphocytic thyroiditis (Hashimoto&#x0027;s disease) and multinodular goiters; however, these cells can also give rise to such tumors as H&#x00FC;rthle cell adenoma (HCA) and H&#x00FC;rthle cell carcinoma (HCC). The WHO Classification of Tumors has singled out HCA and HCC as nosological entities other than follicular tumors, because of morphological and genetic differences between these tumors (<xref rid="b4-MCO-0-0-02311" ref-type="bibr">4</xref>). According to the Bethesda System for Reporting Thyroid Cytopathology 2018, HCA and HCC are in diagnostic category IV (suspicious for a follicular neoplasm), with molecular testing or surgical lobectomy recommended (<xref rid="b1-MCO-0-0-02311" ref-type="bibr">1</xref>).</p>
<p>A typical feature of tumors that grow from H&#x00FC;rthle cells is that cellular atypia does not necessarily mean malignancy (<xref rid="b1-MCO-0-0-02311" ref-type="bibr">1</xref>,<xref rid="b5-MCO-0-0-02311" ref-type="bibr">5</xref>,<xref rid="b6-MCO-0-0-02311" ref-type="bibr">6</xref>). FNAB material appears to consist exclusively of H&#x00FC;rthle cells with abundant finely granular cytoplasm, an enlarged central or eccentric round nucleus, and prominent nucleolus. Some cells are stand-alone entities, and others are in syncytial-like sheets. The oncocytes vary in size from giant cells to small monomorphic cells with a high nuclear-to-cytoplasmic ratio. Some cells feature marked anisonucleosis: A large hyperchromic nucleus with irregular contours of the nuclear membrane, sometimes with nuclear grooves and pseudo-inclusions.</p>
<p>As mentioned above, nuclear atypia, which is indicative of H&#x00FC;rthle cells, is by itself not a criterion for malignancy of a tumor. H&#x00FC;rthle cell patterns should be distinguished between nontumors (Hashimoto&#x0027;s disease and multinodular goiters) and tumors, including papillary thyroid carcinoma, follicular thyroid carcinoma, and medullary thyroid carcinoma. Cytologically, HCA and HCC are identical; accordingly, the diagnosis can be made only after histological examination following nodule resection. Consequently, due to additional molecular oncomarkers in FNAB, clinical decision making is expected to become easier, and prognoses may become more accurate.</p>
<p>Over the past decade, it has been demonstrated that microRNAs (miRNAs, miRs)-short (18- to 24-nucleotide-long) RNA molecules with an important role in post-transcriptional regulation of a large number of genes-can be used as biological oncomarkers (<xref rid="b7-MCO-0-0-02311 b8-MCO-0-0-02311 b9-MCO-0-0-02311" ref-type="bibr">7-9</xref>). Levels of many miRNAs are substantially altered in diverse tumors, including thyroid neoplasms (<xref rid="b10-MCO-0-0-02311 b11-MCO-0-0-02311 b12-MCO-0-0-02311" ref-type="bibr">10-12</xref>). Isolation and profiling of miRNA in the material used for cytological examination of thyroid nodules can improve diagnostic accuracy when combined with the cytological method of diagnosis.</p>
<p>In a recent study we described our original diagnostic algorithm to identify and type malignant thyroid tumors (including HCC) via analysis of a small number of molecular markers in FNAC preparations (levels of HMGA2 mRNA and miR-375, -221, and -146b in combination with the mitochondrial-to-nuclear DNA ratio) (<xref rid="b13-MCO-0-0-02311" ref-type="bibr">13</xref>). It has already been validated on 122 samples (<xref rid="b14-MCO-0-0-02311" ref-type="bibr">14</xref>), but at this validation, we did not focus on H&#x00FC;rthle cell tumors.</p>
<p>The aim of the present study was to assess the effectiveness of the same algorithm at detecting H&#x00FC;rthle cell thyroid tumors in three well-characterized samples obtained by FNAB and used for cytological examination.</p>
</sec>
<sec sec-type="Materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Clinical material</title>
<p>A cytological examination of the FNAB material and intraoperative imprint cytological analysis of the thyroid lesions were performed for three patients with nodular neoplasms. The cytological smears and intraoperative imprints was air-dried and stained by a standard procedure &#x005B;May-Gr&#x00FC;nwald-Giemsa (MGG) staining&#x005D;. Histological analysis of surgically removed thyroid tissue was conducted by staining tissue sections (5-&#x00B5;m thick) with hematoxylin and eosin. Briefly, after resection of the thyroid lobe, the tissue is fixed in formalin for 24 h at room temperature then histological processing of the tissue was carried out using vacuum infiltration processor Tissue-Tek<sup>&#x00AE;</sup> VIP&#x2122; 6 (Sakura Finetek Europe B.V., The Netherlands) with the routine overnight run program (processing time: 12.7 h, temp=40-58&#x02DA;C). After sectioning of the paraffin-embedded tissue, the sections were manually stained with hematoxylin (NPF ABRIS+) and eosin (ErgoProduction), following a basic protocol: Dewaxing (with xylene), dehydration (ethanol then water), hematoxylin (10 min), differentiation (acid alcohol), bluing (aqueous ammonium hydroxide), eosin (5 min), dehydration (ethanol then water), clearing (xylene), cover-slipping. The preparations were examined under a light microscope with a magnification of 100 and 400. The preparations were examined under a light microscope with a magnification of 100 and 400. The histological and cytological material was obtained in accordance with Russian laws and regulations; all data were depersonalized.</p>
</sec>
<sec>
<title>Total-nucleic-acid isolation</title>
<p>Nucleic acid was isolated from the cytological preparations (reviewed in ref. 13). The dried cytological preparation was washed into a microcentrifuge tube with three 200 &#x00B5;l portions of guanidine lysis buffer, then the sample was vigorously mixed and incubated in a thermal shaker for 15 min at 65&#x02DA;C. Next, an equal volume of isopropanol was added. The reaction solution was thoroughly mixed and kept at room temperature for 5 min. After centrifugation for 10 min at 14,00 x g, the supernatant was discarded, and the pellet was washed with 500 &#x00B5;l of 70&#x0025; ethanol and 300 &#x00B5;l of acetone. Finally, the RNA was dissolved in 200 &#x00B5;l of deionized water. If not analyzed immediately, RNA samples were stored at -20&#x02DA;C until further use.</p>
</sec>
<sec>
<title>Molecular analysis</title>
<p>Assessment of relative expression levels of the <italic>HMGA2</italic> gene (normalized to housekeeping gene <italic>PGK1</italic>), miR-146b, -221, and -375 (normalized to the geometric mean of miR-29b, -23a, and -197 levels) and calculation of the ratio of mitochondrial DNA (mtDNA) to nuclear DNA (nDNA) were done as described previously (<xref rid="b13-MCO-0-0-02311" ref-type="bibr">13</xref>). The details are presented below.</p>
</sec>
<sec>
<title>MiRNA detection and quantitation</title>
<p>The detection of the 6 miRNAs was performed on three samples of oncocytic tumors. To quantify miRNA, we followed the protocol published by Chen <italic>et al</italic> in 2005, which includes reverse transcription of mature miRNA using a long stem-loop primer followed by the detection of cDNA via real-time PCR (<xref rid="b15-MCO-0-0-02311" ref-type="bibr">15</xref>). Reverse-transcription reactions were set up individually for each miRNA to be quantified. The obtained cDNA was subjected to further PCR analysis immediately. The reverse-transcription reaction and real-time PCR were carried out (reviewed in ref. 16). The miRNA content was normalized to the geometric mean of the amounts of the three reference miRNAs by the 2<sup>-&#x0394;Cq</sup> method (<xref rid="b17-MCO-0-0-02311" ref-type="bibr">17</xref>).</p>
</sec>
<sec>
<title>Quantification of HMGA2 mRNA</title>
<p>The relative concentration of <italic>HMGA2</italic> mRNA was estimated by real-time RT-PCR, where <italic>PGK1</italic> (phosphoglycerate kinase 1) mRNA served for normalization. The following RT-PCR program was employed: Incubation for 30 min at 45&#x02DA;C, preheating for 2 min at 95&#x02DA;C, and then 50 cycles of denaturation for 10 sec at 94&#x02DA;C with annealing and elongation for 20 sec at 60&#x02DA;C (<xref rid="b13-MCO-0-0-02311" ref-type="bibr">13</xref>). The relative expression level was calculated by the 2<sup>-&#x0394;Cq</sup> method.</p>
</sec>
<sec>
<title>Determination of the mtDNA/nDNA ratio</title>
<p>Detection of specific sites in mtDNA and nDNA was performed independently by real-time PCR. The thermal cycling conditions were as follows: Preheating for 2 min at 95&#x02DA;C, then 50 cycles of denaturation for 10 sec at 94&#x02DA;C with annealing and elongation for 20 sec at 60&#x02DA;C (<xref rid="b13-MCO-0-0-02311" ref-type="bibr">13</xref>). The ratio was determined with the 2<sup>-&#x0394;Cq</sup> method.</p>
</sec>
<sec>
<title>The classifier</title>
<p>The classification method (reviewed in ref. 13) was used (<xref rid="f1-MCO-0-0-02311" ref-type="fig">Fig. 1</xref>). Thus, the specimens are classified as either benign (goiters and follicular neoplasms without markers of malignancy) or malignant (papillary thyroid carcinoma, medullary thyroid carcinoma, HCC, and a follicular neoplasm with markers of malignancy). Additionally, the ratio of mtDNA to nDNA allows to determine whether a given case of papillary thyroid carcinoma can be categorized as the H&#x00FC;rthle cell type.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Case 1</title>
<p>Aspirates of FNAB from a 34-year-old female patient with a 2 cm nodule in the left thyroid lobe were investigated. The cytological report stated that this was a H&#x00FC;rthle cell (oncocytic) neoplasm, and that in the studied samples, there were groups of H&#x00FC;rthle cells of various sizes, with subpopulations showing pronounced polymorphism, abundant fine-grained cytoplasm, an eccentrically or centrally located nucleus, and enlarged nucleolus (<xref rid="f2-MCO-0-0-02311" ref-type="fig">Figs. 2</xref> and <xref rid="f3-MCO-0-0-02311" ref-type="fig">3</xref>).</p>
<p>Three slides were examined, and the results are given in <xref rid="tI-MCO-0-0-02311" ref-type="table">Table I</xref>; our final opinion was HCC. The histological report on the surgical material indicated that this was H&#x00FC;rthle cell (oncocytic) thyroid carcinoma, and that the trabecular structure prevailed in the tumor tissue, with minimal invasive growth into the capsule. The report also stated that the H&#x00FC;rthle cells that formed the tumor featured pronounced cellular and nuclear polymorphism, eosinophilic granular cytoplasm, and enlarged nucleoli.</p>
</sec>
<sec>
<title>Case 2</title>
<p>FNAB was performed on a 56-year-old female patient with a thyroid nodule. The cytological report indicated a suspected H&#x00FC;rthle cell (oncocytic) neoplasm and that the cellular aspirate consisted of cells with oncocytic signs, forming sporadic papillary structures; some cells had features characteristic of papillary carcinoma: Uneven nuclear contours and nuclear grooves. According to the cytological report, papillary thyroid carcinoma could not be ruled out (<xref rid="f4-MCO-0-0-02311" ref-type="fig">Figs. 4</xref> and <xref rid="f5-MCO-0-0-02311" ref-type="fig">5</xref>).</p>
<p>One slide was examined; the results are listed in <xref rid="tII-MCO-0-0-02311" ref-type="table">Table II</xref>; our conclusion is H&#x00FC;rthle cell papillary thyroid carcinoma.</p>
<p>Total thyroidectomy was performed. The histological report stated that this was papillary thyroid carcinoma, and that the tumor tissue was predominantly papillar. Tumor cells belonged to the oncocytic type, with abundant eosinophilic granular cytoplasm and a moderately polymorphic nucleus with typical signs of papillary cancer. According to the report, the tumor showed invasive capsular growth, and there were regional lymph node metastases.</p>
</sec>
<sec>
<title>Case 3</title>
<p>A 29-year-old woman with a solitary thyroid nodule in the right lobe. The cytological report on the FNAB samples indicated that this was a suspected H&#x00FC;rthle cell (oncocytic) neoplasm, and that in cytological samples, there were syncytial-like sheets and clusters of H&#x00FC;rthle cells with moderate cellular and nuclear polymorphism (<xref rid="f6-MCO-0-0-02311" ref-type="fig">Figs. 6</xref> and <xref rid="f7-MCO-0-0-02311" ref-type="fig">7</xref>).</p>
<p>One slide was examined; the results are presented in <xref rid="tIII-MCO-0-0-02311" ref-type="table">Table III</xref>; we concluded that this is a benign H&#x00FC;rthle cell tumor.</p>
<p>Surgical lobectomy was performed. The histological report stated that this was oncocytic adenoma, i.e., an encapsulated tumor with a solid and trabecular structure, consisting of cells of the oncocytic type, with abundant eosinophilic granular cytoplasm, a large nucleus, and enlarged nucleolus. According to this report, no capsular or vascular invasion was found.</p>
<p>We verified the validity of all the above reports. In the cases presented, the ratio of mtDNA to nDNA, which is a marker of H&#x00FC;rthle cells, was within previously described ranges (<xref rid="b13-MCO-0-0-02311" ref-type="bibr">13</xref>) and helped to make the diagnoses (<xref rid="f8-MCO-0-0-02311" ref-type="fig">Fig. 8</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>In our recent study, we proposed an original version of the diagnostic algorithm that identifies and types malignant thyroid tumors via analysis of molecular markers in cytological preparations. This algorithm involves the ratio of mtDNA to nDNA as a criterion for the presence of H&#x00FC;rthle cells because these cells, according to the literature (<xref rid="b18-MCO-0-0-02311" ref-type="bibr">18</xref>) and our original data, contain many more mitochondria than follicular cells do. This is apparently because at least in the thyroid gland, H&#x00FC;rthle cells exhibit decreased cellular performance (<xref rid="b19-MCO-0-0-02311" ref-type="bibr">19</xref>). These data suggest a defect in the energy production machinery of the cells and indicate that the increased mitochondrial content may be compensatory.</p>
<p>It is now generally accepted that almost all histological types of benign and malignant thyroid tumors have a H&#x00FC;rthle cell counterpart (<xref rid="b20-MCO-0-0-02311" ref-type="bibr">20</xref>). In these tumors, the H&#x00FC;rthle cell appearance is thought to represent a phenotype that is superimposed on the genotypic and conventional histopathologic features of the tumors. After the recognition of the clinicopathologic and genetic differences between PTC and FTC composed of H&#x00FC;rthle cells, it has been generally accepted that the H&#x00FC;rthle cell variant of PTC should be referred to as such, whereas the H&#x00FC;rthle cell variant of FTC may be designated simply as HCC (<xref rid="b21-MCO-0-0-02311" ref-type="bibr">21</xref>) (the same implicitly follows from <xref rid="f7-MCO-0-0-02311" ref-type="fig">Fig. 7</xref>, if we compare the mtDNA content between FN-MM and HCC). It should be emphasized that the preoperative detection of FTC is a complex diagnostic problem, but our proposed algorithm allows this to be done reasonably accurately at least for the H&#x00FC;rthle cell variant of FTC (i.e., HCC).</p>
<p>Therefore, elevated mtDNA content of a tissue sample is indicative of H&#x00FC;rthle cells but not of malignancy. The hallmark of HCC is overexpression of miR-221. Although this upregulation alone is not unique to HCC, its combination with elevated mtDNA content is. This diagnostic algorithm can be applied to any cytological slides but primarily to Bethesda categories III and IV. The limitations of this method are the same as those for cytological analysis: An insufficient cell number in a sample and contamination with blood. These limitations may distort the result or prevent it from being obtained, however, this method is supposed to be used for samples that have already been analyzed by a cytologist, so that unsuitable samples will not be tested by our diagnostic algorithm.</p>
<p>At the moment, there is another diagnostic test that enables clinicians to identify benign and malignant H&#x00FC;rthle cell tumors: The Afirma Genomic Sequencing Classifier (GSC), which involves next-generation RNA sequencing. To identify H&#x00FC;rthle cell tumors, the GSC system includes two components: H&#x00FC;rthle cell index-mRNA expression plus mitochondrial transcripts as well as H&#x00FC;rthle neoplasm index-mRNA expression plus chromosomal level of loss of heterozygosity (<xref rid="b22-MCO-0-0-02311" ref-type="bibr">22</xref>). Thus, just as in our algorithm, in the GSC, an estimate of the number of mitochondria is used to identify H&#x00FC;rthle cells (via determination of expression levels of mitochondrial genes). In contrast, malignancy is determined differently, through the assessment of genetic instability, whereas in our version, this is done via evaluation of the expression of miR-221, which is a simpler approach.</p>
<p>The main limitation of this study is the small number of samples involved (three). This is due to the relative rarity of H&#x00FC;rthle cell tumors, but this number is planned to increase over time. As far as the analyzed cases are concerned, the use of molecular markers in the analysis of cytological material helped to make a correct diagnosis preoperatively, demonstrating potential usefulness of this approach for addressing and solving cytologically unclear or ambivalent cases.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the current study are available from the corresponding author on request.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>ST and TLP conceived the current study. TLP and VVA collected patient samples. ST, YAV, and TLP conducted the experiments. ST and TLP wrote the manuscript. VVA and YAV revised the manuscript. VVA interpreted the data and gave final approval for the manuscript to be published. All the authors read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The Ethical Committee of the Clinical Hospital RZD-Medicine approved the study protocol. The procedures in the present study adhere to the tenets of the Declaration of Helsinki. Written informed consent was obtained from all the participating patients.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="b1-MCO-0-0-02311"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ali</surname><given-names>SZ</given-names></name><name><surname>Cibas</surname><given-names>ES (eds.)</given-names></name></person-group><comment>The Bethesda System for Reporting Thyroid Cytopathology. Springer, New York, NY, 2018.</comment></element-citation></ref>
<ref id="b2-MCO-0-0-02311"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Baloch</surname><given-names>ZW</given-names></name><name><surname>LiVolshi</surname><given-names>VA</given-names></name><name><surname>Asa</surname><given-names>SL</given-names></name><name><surname>Rosai</surname><given-names>J</given-names></name><name><surname>Merino</surname><given-names>MJ</given-names></name><name><surname>Randolph</surname><given-names>G</given-names></name><name><surname>Vielh</surname><given-names>P</given-names></name><name><surname>DeMay</surname><given-names>RM</given-names></name><name><surname>Sidawy</surname><given-names>MK</given-names></name><name><surname>Frable</surname><given-names>WJ</given-names></name></person-group><article-title>Diagnostic terminology and morphologic criteria for cytologic diagnosis of thyroid lesions: A synopsis of the national cancer institute thyroid fine-needle aspiration state of the science conference</article-title><source>Diagn Cytopathol</source><volume>36</volume><fpage>425</fpage><lpage>437</lpage><year>2008</year><pub-id pub-id-type="pmid">18478609</pub-id><pub-id pub-id-type="doi">10.1002/dc.20830</pub-id></element-citation></ref>
<ref id="b3-MCO-0-0-02311"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nguyen</surname><given-names>GK</given-names></name><name><surname>Lee</surname><given-names>MW</given-names></name><name><surname>Ginsberg</surname><given-names>J</given-names></name><name><surname>Wragg</surname><given-names>T</given-names></name><name><surname>Bilodeau</surname><given-names>D</given-names></name></person-group><article-title>Fine-needle aspiration of the thyroid: An overview</article-title><source>Cytojournal</source><volume>2</volume><issue>12</issue><year>2005</year><pub-id pub-id-type="pmid">15987502</pub-id><pub-id pub-id-type="doi">10.1186/1742-6413-2-12</pub-id></element-citation></ref>
<ref id="b4-MCO-0-0-02311"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lloyd</surname><given-names>RV</given-names></name><name><surname>Osamura</surname><given-names>RY</given-names></name><name><surname>Kl&#x00F6;ppel</surname><given-names>G</given-names></name><name><surname>Rosai</surname><given-names>J (eds)</given-names></name></person-group><comment>WHO Classification of Tumours of Endocrine Organs. IARC, Lyon, 2017.</comment></element-citation></ref>
<ref id="b5-MCO-0-0-02311"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Montone</surname><given-names>KT</given-names></name><name><surname>Baloch</surname><given-names>ZW</given-names></name><name><surname>LiVolsi</surname><given-names>VA</given-names></name></person-group><article-title>The thyroid H&#x00FC;rthle (oncocytic) cell and its associated pathologic conditions: A surgical pathology and cytopathology review</article-title><source>Arch Pathol Lab Med</source><volume>132</volume><fpage>1241</fpage><lpage>1250</lpage><year>2008</year><pub-id pub-id-type="pmid">18684023</pub-id><pub-id pub-id-type="doi">10.5858/2008-132-1241-TTHOCA</pub-id></element-citation></ref>
<ref id="b6-MCO-0-0-02311"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nikiforov</surname><given-names>YE</given-names></name><name><surname>Biddinger</surname><given-names>PW</given-names></name><name><surname>Thompson</surname><given-names>LDR</given-names></name><name><surname>Nikiforova</surname><given-names>MN (eds)</given-names></name></person-group><comment>Diagnostic Pathology and Molecular Genetics of the Thyroid. Lippincott Williams &#x0026; Wilkins, Piladelphia, PA, 2009.</comment></element-citation></ref>
<ref id="b7-MCO-0-0-02311"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lagos-Quintana</surname><given-names>M</given-names></name><name><surname>Rauhut</surname><given-names>R</given-names></name><name><surname>Lendeckel</surname><given-names>W</given-names></name><name><surname>Tuschl</surname><given-names>T</given-names></name></person-group><article-title>Identification of novel genes coding for small expressed RNAs</article-title><source>Science</source><volume>294</volume><fpage>853</fpage><lpage>858</lpage><year>2001</year><pub-id pub-id-type="pmid">11679670</pub-id><pub-id pub-id-type="doi">10.1126/science.1064921</pub-id></element-citation></ref>
<ref id="b8-MCO-0-0-02311"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Chen</surname><given-names>J</given-names></name><name><surname>Sen</surname><given-names>S</given-names></name></person-group><article-title>MicroRNA as biomarkers and diagnostics</article-title><source>J Cell Physiol</source><volume>231</volume><fpage>25</fpage><lpage>30</lpage><year>2016</year><pub-id pub-id-type="pmid">26031493</pub-id><pub-id pub-id-type="doi">10.1002/jcp.25056</pub-id></element-citation></ref>
<ref id="b9-MCO-0-0-02311"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nikiforova</surname><given-names>MN</given-names></name><name><surname>Tseng</surname><given-names>GC</given-names></name><name><surname>Steward</surname><given-names>D</given-names></name><name><surname>Diorio</surname><given-names>D</given-names></name><name><surname>Nikiforov</surname><given-names>YE</given-names></name></person-group><article-title>MicroRNA expression profiling of thyroid tumors: Biological significance and diagnostic utility</article-title><source>J Clin Endocrinol Metab</source><volume>93</volume><fpage>1600</fpage><lpage>1608</lpage><year>2008</year><pub-id pub-id-type="pmid">18270258</pub-id><pub-id pub-id-type="doi">10.1210/jc.2007-2696</pub-id></element-citation></ref>
<ref id="b10-MCO-0-0-02311"><label>10</label><element-citation publication-type="journal"><comment>Cancer Genome Atlas Research Network</comment><article-title>Integrated genomic characterization of papillary thyroid carcinoma</article-title><source>Cell</source><volume>159</volume><fpage>676</fpage><lpage>690</lpage><year>2014</year><pub-id pub-id-type="pmid">25417114</pub-id><pub-id pub-id-type="doi">10.1016/j.cell.2014.09.050</pub-id></element-citation></ref>
<ref id="b11-MCO-0-0-02311"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pallante</surname><given-names>P</given-names></name><name><surname>Battista</surname><given-names>S</given-names></name><name><surname>Pierantoni</surname><given-names>GM</given-names></name><name><surname>Fusco</surname><given-names>A</given-names></name></person-group><article-title>Deregulation of microRNA expression in thyroid neoplasias</article-title><source>Nat Rev Endocrinol</source><volume>10</volume><fpage>88</fpage><lpage>101</lpage><year>2014</year><pub-id pub-id-type="pmid">24247220</pub-id><pub-id pub-id-type="doi">10.1038/nrendo.2013.223</pub-id></element-citation></ref>
<ref id="b12-MCO-0-0-02311"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Swierniak</surname><given-names>M</given-names></name><name><surname>Wojcicka</surname><given-names>A</given-names></name><name><surname>Czetwertynska</surname><given-names>M</given-names></name><name><surname>Stachlewska</surname><given-names>E</given-names></name><name><surname>Maciag</surname><given-names>M</given-names></name><name><surname>Wiechno</surname><given-names>W</given-names></name><name><surname>Gornicka</surname><given-names>B</given-names></name><name><surname>Bogdanska</surname><given-names>M</given-names></name><name><surname>Koperski</surname><given-names>L</given-names></name><name><surname>de la Chapelle</surname><given-names>A</given-names></name><name><surname>Jazdzewski</surname><given-names>K</given-names></name></person-group><article-title>In-depth characterization of the microRNA transcriptome in normal thyroid and papillary thyroid carcinoma</article-title><source>J Clin Endocrinol Metab</source><volume>98</volume><fpage>E1401</fpage><lpage>E1409</lpage><year>2013</year><pub-id pub-id-type="pmid">23783103</pub-id><pub-id pub-id-type="doi">10.1210/jc.2013-1214</pub-id></element-citation></ref>
<ref id="b13-MCO-0-0-02311"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Titov</surname><given-names>SE</given-names></name><name><surname>Ivanov</surname><given-names>MK</given-names></name><name><surname>Demenkov</surname><given-names>PS</given-names></name><name><surname>Katanyan</surname><given-names>GA</given-names></name><name><surname>Kozorezova</surname><given-names>ES</given-names></name><name><surname>Malek</surname><given-names>AV</given-names></name><name><surname>Veryaskina</surname><given-names>YA</given-names></name><name><surname>Zhimulev</surname><given-names>IF</given-names></name></person-group><article-title>Combined quantitation of HMGA2 mRNA, microRNAs, and mitochondrial-DNA content enables the identification and typing of thyroid tumors in fine-needle aspiration smears</article-title><source>BMC Cancer</source><volume>19</volume><issue>1010</issue><year>2019</year><pub-id pub-id-type="pmid">31660895</pub-id><pub-id pub-id-type="doi">10.1186/s12885-019-6154-7</pub-id></element-citation></ref>
<ref id="b14-MCO-0-0-02311"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Titov</surname><given-names>S</given-names></name><name><surname>Demenkov</surname><given-names>PS</given-names></name><name><surname>Lukyanov</surname><given-names>SA</given-names></name><name><surname>Sergiyko</surname><given-names>SV</given-names></name><name><surname>Katanyan</surname><given-names>GA</given-names></name><name><surname>Veryaskina</surname><given-names>YA</given-names></name><name><surname>Ivanov</surname><given-names>MK</given-names></name></person-group><article-title>Preoperative detection of malignancy in fine-needle aspiration cytology (FNAC) smears with indeterminate cytology (Bethesda III, IV) by a combined molecular classifier</article-title><source>J Clin Pathol</source><volume>73</volume><fpage>722</fpage><lpage>727</lpage><year>2020</year><pub-id pub-id-type="pmid">32213552</pub-id><pub-id pub-id-type="doi">10.1136/jclinpath-2020-206445</pub-id></element-citation></ref>
<ref id="b15-MCO-0-0-02311"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>C</given-names></name><name><surname>Ridzon</surname><given-names>DA</given-names></name><name><surname>Broomer</surname><given-names>AJ</given-names></name><name><surname>Zhou</surname><given-names>Z</given-names></name><name><surname>Lee</surname><given-names>DH</given-names></name><name><surname>Nguyen</surname><given-names>JT</given-names></name><name><surname>Barbisin</surname><given-names>M</given-names></name><name><surname>Xu</surname><given-names>NL</given-names></name><name><surname>Mahuvakar</surname><given-names>VR</given-names></name><name><surname>Andersen</surname><given-names>MR</given-names></name><etal/></person-group><article-title>Real-time quantification of microRNAs by stem-loop RT-PCR</article-title><source>Nucleic Acids Res</source><volume>33</volume><issue>e179</issue><year>2005</year><pub-id pub-id-type="pmid">16314309</pub-id><pub-id pub-id-type="doi">10.1093/nar/gni178</pub-id></element-citation></ref>
<ref id="b16-MCO-0-0-02311"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Titov</surname><given-names>SE</given-names></name><name><surname>Ivanov</surname><given-names>MK</given-names></name><name><surname>Karpinskaya</surname><given-names>EV</given-names></name><name><surname>Tsivlikova</surname><given-names>EV</given-names></name><name><surname>Shevchenko</surname><given-names>SP</given-names></name><name><surname>Veryaskina</surname><given-names>YA</given-names></name><name><surname>Akhmerova</surname><given-names>LG</given-names></name><name><surname>Poloz</surname><given-names>TL</given-names></name><name><surname>Klimova</surname><given-names>OA</given-names></name><name><surname>Gulyaeva</surname><given-names>LF</given-names></name><etal/></person-group><article-title>miRNA profiling, detection of BRAF V600E mutation and RET-PTC1 translocation in patients from Novosibirsk oblast (Russia) with different types of thyroid tumors</article-title><source>BMC Cancer</source><volume>16</volume><issue>201</issue><year>2016</year><pub-id pub-id-type="pmid">26960768</pub-id><pub-id pub-id-type="doi">10.1186/s12885-016-2240-2</pub-id></element-citation></ref>
<ref id="b17-MCO-0-0-02311"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Livak</surname><given-names>KJ</given-names></name><name><surname>Schmittgen</surname><given-names>TD</given-names></name></person-group><article-title>Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method</article-title><source>Methods</source><volume>25</volume><fpage>402</fpage><lpage>408</lpage><year>2001</year><pub-id pub-id-type="pmid">11846609</pub-id><pub-id pub-id-type="doi">10.1006/meth.2001.1262</pub-id></element-citation></ref>
<ref id="b18-MCO-0-0-02311"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cannon</surname><given-names>J</given-names></name></person-group><article-title>The Significance of H&#x00FC;rthle Cells in Thyroid Disease</article-title><source>Oncologist</source><volume>16</volume><fpage>1380</fpage><lpage>1387</lpage><year>2011</year><pub-id pub-id-type="pmid">21964000</pub-id><pub-id pub-id-type="doi">10.1634/theoncologist.2010-0253</pub-id></element-citation></ref>
<ref id="b19-MCO-0-0-02311"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Valenta</surname><given-names>LJ</given-names></name><name><surname>Michel-Bechet</surname><given-names>M</given-names></name><name><surname>Warshaw</surname><given-names>JB</given-names></name><name><surname>Maloof</surname><given-names>F</given-names></name></person-group><article-title>Human thyroid tumors composed of mitochondrion-rich cells: Electron microscopic and biochemical findings</article-title><source>J Clin Endocrinol Metab</source><volume>39</volume><fpage>719</fpage><lpage>733</lpage><year>1974</year><pub-id pub-id-type="pmid">4413723</pub-id><pub-id pub-id-type="doi">10.1210/jcem-39-4-719</pub-id></element-citation></ref>
<ref id="b20-MCO-0-0-02311"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sobrinho-Simoes</surname><given-names>M</given-names></name><name><surname>Asa</surname><given-names>SL</given-names></name><name><surname>Kroll</surname><given-names>TG</given-names></name><name><surname>Nikiforov</surname><given-names>YE</given-names></name><name><surname>DeLellis</surname><given-names>RA</given-names></name><name><surname>Farid</surname><given-names>P</given-names></name><name><surname>Kitamura</surname><given-names>Y</given-names></name><name><surname>Noguchi</surname><given-names>S</given-names></name><name><surname>Eng</surname><given-names>C</given-names></name><name><surname>Harach</surname><given-names>HR</given-names></name><etal/></person-group><comment>Follicular carcinoma. In: World Health Organization Classification of Tumours. Pathology and Genetics of Tumours of Endocrine Organs. deLellis RA, Lloyd RV, Heitz PU and Eng C (eds). IARC Press, Lyon, pp 67-72, 2004.</comment></element-citation></ref>
<ref id="b21-MCO-0-0-02311"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>M&#x00E1;ximo</surname><given-names>V</given-names></name><name><surname>Lima</surname><given-names>J</given-names></name><name><surname>Prazeres</surname><given-names>H</given-names></name><name><surname>Soares</surname><given-names>P</given-names></name><name><surname>Sobrinho-Sim&#x00F5;es</surname><given-names>M</given-names></name></person-group><article-title>The biology and the genetics of Hurthle cell tumors of the thyroid</article-title><source>Endocr Relat Cancer</source><volume>19</volume><fpage>R131</fpage><lpage>R147</lpage><year>2012</year><pub-id pub-id-type="pmid">22514109</pub-id><pub-id pub-id-type="doi">10.1530/ERC-11-0354</pub-id></element-citation></ref>
<ref id="b22-MCO-0-0-02311"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Patel</surname><given-names>KN</given-names></name><name><surname>Angell</surname><given-names>TE</given-names></name><name><surname>Babiarz</surname><given-names>J</given-names></name><name><surname>Barth</surname><given-names>NM</given-names></name><name><surname>Blevins</surname><given-names>T</given-names></name><name><surname>Duh</surname><given-names>QY</given-names></name><name><surname>Ghossein</surname><given-names>RA</given-names></name><name><surname>Harrell</surname><given-names>RM</given-names></name><name><surname>Huang</surname><given-names>J</given-names></name><name><surname>Kennedy</surname><given-names>GC</given-names></name><etal/></person-group><article-title>Performance of a genomic sequencing classifier for the preoperative diagnosis of cytologically indeterminate thyroid nodules</article-title><source>JAMA Surg</source><volume>153</volume><fpage>817</fpage><lpage>824</lpage><year>2018</year><pub-id pub-id-type="pmid">29799911</pub-id><pub-id pub-id-type="doi">10.1001/jamasurg.2018.1153</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-MCO-0-0-02311" position="float">
<label>Figure 1</label>
<caption><p>Decision tree for classifying samples into benign and malignant, and subsequent cancer typing. +/-, exceeding or not exceeding the established cutoff. BN, benign nodule; MTC, medullary thyroid carcinoma; PTC, papillary thyroid carcinoma; HTC, H&#x00FC;rthle cell thyroid carcinoma; FN-MM, follicular neoplasms with markers of malignancy.</p></caption>
<graphic xlink:href="mco-15-01-02311-g00.tif" />
</fig>
<fig id="f2-MCO-0-0-02311" position="float">
<label>Figure 2</label>
<caption><p>Follicular neoplasm of the H&#x00FC;rthle cell type (magnification, x400). H&#x00FC;rthle cells are arranged in syncytial-like sheets. The cells and nuclei are highly varied in size.</p></caption>
<graphic xlink:href="mco-15-01-02311-g01.tif" />
</fig>
<fig id="f3-MCO-0-0-02311" position="float">
<label>Figure 3</label>
<caption><p>Follicular neoplasm of the H&#x00FC;rthle cell type (magnification, x400). H&#x00FC;rthle cells and nuclei are enlarged and markedly varied in size.</p></caption>
<graphic xlink:href="mco-15-01-02311-g02.tif" />
</fig>
<fig id="f4-MCO-0-0-02311" position="float">
<label>Figure 4</label>
<caption><p>Follicular neoplasm of the H&#x00FC;rthle cell type (magnification, x400). Papillary-like structures, groups and isolated cells with abundant cytoplasm and marked anisonucleosis are presented. Various cells exhibit nuclear features of papillary thyroid carcinoma.</p></caption>
<graphic xlink:href="mco-15-01-02311-g03.tif" />
</fig>
<fig id="f5-MCO-0-0-02311" position="float">
<label>Figure 5</label>
<caption><p>Follicular neoplasm of the H&#x00FC;rthle cell type (magnification, x400). Papillary-like structures and groups of H&#x00FC;rthle cells with nuclear features of papillary thyroid carcinoma are presented in single cells.</p></caption>
<graphic xlink:href="mco-15-01-02311-g04.tif" />
</fig>
<fig id="f6-MCO-0-0-02311" position="float">
<label>Figure 6</label>
<caption><p>Follicular neoplasm of the H&#x00FC;rthle cell type (magnification, x400). Monolayer sheets of cells demonstrating abundant cytoplasm, an enlarged nucleus and prominent nucleolus are demonstrated.</p></caption>
<graphic xlink:href="mco-15-01-02311-g05.tif" />
</fig>
<fig id="f7-MCO-0-0-02311" position="float">
<label>Figure 7</label>
<caption><p>Follicular neoplasm of the H&#x00FC;rthle cell type (magnification, x400). Monolayer sheets and stand-alone cells with abundant cytoplasm, an enlarged nuclei and prominent nucleolus in some nuclei are presented.</p></caption>
<graphic xlink:href="mco-15-01-02311-g06.tif" />
</fig>
<fig id="f8-MCO-0-0-02311" position="float">
<label>Figure 8</label>
<caption><p>Mitochondrial DNA/nuclear DNA ratio in different tumor types and in cases 1-3. The figure presents the median (cross-section of a bar), upper and lower quartiles (upper and lower sides of a bar), the nonoutlier range (error bars) and outliers appearing as circles. MTC, medullar thyroid carcinoma; PTC, papillary thyroid carcinoma; HCC, H&#x00FC;rthle cell carcinoma; FN-MM, follicular neoplasm with markers of malignancy.</p></caption>
<graphic xlink:href="mco-15-01-02311-g07.tif" />
</fig>
<table-wrap id="tI-MCO-0-0-02311" position="float">
<label>Table I</label>
<caption><p>Molecular analysis of the material on slides from case 1.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Slide 1</th>
<th align="center" valign="middle">Slide 2</th>
<th align="center" valign="middle">Slide 3</th>
<th align="center" valign="middle">Specimen classification cut-off values</th>
<th align="center" valign="middle">Cancer characterization cut-off values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>HMGA2</italic></td>
<td align="center" valign="middle">0.0139</td>
<td align="center" valign="middle">0.0033</td>
<td align="center" valign="middle">0.0130</td>
<td align="center" valign="middle">0.092</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">miR-146b</td>
<td align="center" valign="middle">-1.48</td>
<td align="center" valign="middle">-1.69</td>
<td align="center" valign="middle">-1.03</td>
<td align="center" valign="middle">1.53</td>
<td align="center" valign="middle">0.17</td>
</tr>
<tr>
<td align="left" valign="middle">miR-221</td>
<td align="center" valign="middle">-1.74</td>
<td align="center" valign="middle">1.15<sup><xref rid="tfn1-MCO-0-0-02311" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">1.75<sup><xref rid="tfn1-MCO-0-0-02311" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">miR-375</td>
<td align="center" valign="middle">-131.56</td>
<td align="center" valign="middle">-54.00</td>
<td align="center" valign="middle">-192.44</td>
<td align="center" valign="middle">-12.12</td>
<td align="center" valign="middle">5.25</td>
</tr>
<tr>
<td align="left" valign="middle">mtDNA</td>
<td align="center" valign="middle">10,391<sup><xref rid="tfn1-MCO-0-0-02311" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">19,756<sup><xref rid="tfn1-MCO-0-0-02311" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">30,055<sup><xref rid="tfn1-MCO-0-0-02311" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">5,716</td>
</tr>
<tr>
<td align="left" valign="middle">Opinion</td>
<td align="center" valign="middle">Benign H&#x00FC;rthle cell tumor</td>
<td align="center" valign="middle">HCC</td>
<td align="center" valign="middle">HCC</td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-MCO-0-0-02311"><p><sup>a</sup>Values above the cutoff.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-MCO-0-0-02311" position="float">
<label>Table II</label>
<caption><p>Molecular analysis of the material on a slide from case 2.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Slide 1</th>
<th align="center" valign="middle">Specimen classification cut-off values</th>
<th align="center" valign="middle">Cancer characterization cut-off values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>HMGA2</italic></td>
<td align="center" valign="middle">0.0018</td>
<td align="center" valign="middle">0.0920</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">miR-146b</td>
<td align="center" valign="middle">1.61<sup><xref rid="tfna1-MCO-0-0-02311" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">1.53</td>
<td align="center" valign="middle">0.17</td>
</tr>
<tr>
<td align="left" valign="middle">miR-221</td>
<td align="center" valign="middle">-7.25</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">miR-375</td>
<td align="center" valign="middle">-153.75</td>
<td align="center" valign="middle">-12.12</td>
<td align="center" valign="middle">5.25</td>
</tr>
<tr>
<td align="left" valign="middle">mtDNA</td>
<td align="center" valign="middle">8,257<sup><xref rid="tfna1-MCO-0-0-02311" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">5,716</td>
</tr>
<tr>
<td align="left" valign="middle">Opinion</td>
<td align="center" valign="middle">H&#x00FC;rthle cell papillary thyroid carcinoma</td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfna1-MCO-0-0-02311"><p><sup>a</sup>Values above the cutoff.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-MCO-0-0-02311" position="float">
<label>Table III</label>
<caption><p>Molecular analysis of the material on a slide from case 3.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Slide 1</th>
<th align="center" valign="middle">Specimen classification cut-off values</th>
<th align="center" valign="middle">Cancer characterization cut-off values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>HMGA2</italic></td>
<td align="center" valign="middle">0.0025</td>
<td align="center" valign="middle">0.0920</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">miR-146b</td>
<td align="center" valign="middle">-10.89</td>
<td align="center" valign="middle">1.53</td>
<td align="center" valign="middle">0.17</td>
</tr>
<tr>
<td align="left" valign="middle">miR-221</td>
<td align="center" valign="middle">-10.53</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">-</td>
</tr>
<tr>
<td align="left" valign="middle">miR-375</td>
<td align="center" valign="middle">-157.04</td>
<td align="center" valign="middle">-12.12</td>
<td align="center" valign="middle">5.25</td>
</tr>
<tr>
<td align="left" valign="middle">mtDNA</td>
<td align="center" valign="middle">12,868<sup><xref rid="tfnb1-MCO-0-0-02311" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">5,716</td>
</tr>
<tr>
<td align="left" valign="middle">Opinion</td>
<td align="center" valign="middle">Benign H&#x00FC;rthle cell tumor</td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfnb1-MCO-0-0-02311"><p><sup>a</sup>Values above the cutoff.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
