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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">875939</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2022.875939</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Upregulated miRNAs on the <italic>TP53</italic> and <italic>RB1</italic> Binding Seedless Regions in High-Risk HPV-Associated Penile Cancer</article-title>
<alt-title alt-title-type="left-running-head">da Silva et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<italic>TP53</italic>/<italic>RB1</italic> Repression Through Seedless-miRNA Binding</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>da Silva</surname>
<given-names>Jenilson</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1677378/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>da Costa</surname>
<given-names>Carla Cutrim</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>de Farias Ramos</surname>
<given-names>Ingryd</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1679374/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Laus</surname>
<given-names>Ana Carolina</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1420169/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sussuchi</surname>
<given-names>Luciane</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1226947/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Reis</surname>
<given-names>Rui Manuel</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/506502/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Khayat</surname>
<given-names>Andr&#xe9; Salim</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cavalli</surname>
<given-names>Luciane Regina</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pereira</surname>
<given-names>Silma Regina</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Postgraduate Program in Health Science</institution>, <institution>Federal University of Maranh&#xe3;o</institution>, <addr-line>S&#xe3;o Lu&#xed;s</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Degree in Biological Sciences</institution>, <institution>Department of Biology</institution>, <institution>Federal University of Maranh&#xe3;o</institution>, <addr-line>S&#xe3;o Lu&#xed;s</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Postgraduate Program in Oncology and Medical Sciences</institution>, <institution>Federal University of Par&#xe1;</institution>, <addr-line>Bel&#xe9;m</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Molecular Oncology Research Center</institution>, <institution>Barretos Cancer Hospital</institution>, <addr-line>Barretos</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Oncology Research Center</institution>, <institution>Federal University of Par&#xe1;</institution>, <addr-line>Bel&#xe9;m</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Institute of Biological Sciences</institution>, <institution>Federal University of Par&#xe1;</institution>, <addr-line>Bel&#xe9;m</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Research Institute Pel&#xe9; Pequeno Pr&#xed;ncipe</institution>, <institution>Faculdades Pequeno Pr&#xed;ncipe</institution>, <addr-line>Curitiba</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Laboratory of Genetics and Molecular Biology</institution>, <institution>Department of Biology</institution>, <institution>Federal University of Maranh&#xe3;o</institution>, <addr-line>S&#xe3;o Lu&#xed;s</addr-line>, <country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/830898/overview">Ticiana D. J. Farias</ext-link>, University of Colorado, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/608744/overview">Hin Fung Tsang</ext-link>, Hong Kong Adventist Hospital, Hong Kong SAR, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/511747/overview">Natasha Andressa Jorge</ext-link>, Leipzig University, Germany</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1217743/overview">Gilda Alves Brown</ext-link>, Rio de Janeiro State University, Brazil</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Silma Regina Pereira, <email>silma.pereira@ufma.br</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to RNA, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>875939</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>05</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 da Silva, da Costa, de Farias Ramos, Laus, Sussuchi, Reis, Khayat, Cavalli and Pereira.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>da Silva, da Costa, de Farias Ramos, Laus, Sussuchi, Reis, Khayat, Cavalli and Pereira</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Cancer development by the human papillomavirus (HPV) infection can occur through the canonical HPV/p53/RB1 pathway mediated by the E2/E6/E7 viral oncoproteins. During the transformation process, HPV inserts its genetic material into host Integration Sites (IS), affecting coding genes and miRNAs. In penile cancer (PeCa) there is limited data on the miRNAs that regulate mRNA targets associated with HPV, such as the <italic>TP53</italic> and <italic>RB1</italic> genes. Considering the high frequency of HPV infection in PeCa patients in Northeast Brazil, global miRNA expression profiling was performed in high-risk HPV-associated PeCa that presented with <italic>TP53</italic> and <italic>RB1</italic> mRNA downregulated expression. The miRNA expression profile of 22 PeCa tissue samples and five non-tumor penile tissues showed 507 differentially expressed miRNAs: 494 downregulated and 13 upregulated (let-7a-5p, miR-130a-3p, miR-142-3p, miR-15b-5p miR-16-5p, miR-200c-3p, miR-205-5p, miR-21-5p, miR-223-3p, miR-22-3p, miR-25-3p, miR-31-5p and miR-93-5p), of which 11 were identified to be in HPV16-IS and targeting <italic>TP53</italic> and <italic>RB1</italic> genes. One hundred and thirty-one and 490 miRNA binding sites were observed for <italic>TP53</italic> and <italic>RB1</italic>, respectively, most of which were in seedless regions. These findings suggest that up-regulation of miRNA expression can directly repress <italic>TP53</italic> and <italic>RB1</italic> expression by their binding sites in the non-canonical seedless regions.</p>
</abstract>
<kwd-group>
<kwd>penile cancer</kwd>
<kwd>tumor suppressor repression</kwd>
<kwd>miRNA</kwd>
<kwd>HPV</kwd>
<kwd>
<italic>TP53</italic>
</kwd>
<kwd>
<italic>Rb1</italic>
</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The <italic>TP53</italic> gene is known as the &#x201c;sentinel gene&#x201d; due to its ability to identify cell damage and to coordinate complex mechanisms to mediate cell repair, protecting genome stability and, consequently, cell homeostasis. Therefore, it is not surprising that <italic>TP53</italic> tumor suppressor is the most frequently mutated gene in human tumors. Most of the alterations described are missense mutations, whereby the protein loses its primary function, or it acquires oncogenetic functions (<xref ref-type="bibr" rid="B13">Datta et al., 2017</xref>; <xref ref-type="bibr" rid="B74">Wang and Sun, 2017</xref>; <xref ref-type="bibr" rid="B64">Sammons et al., 2020</xref>). In addition, the p53 mutant protein may also facilitate the adaptation of tumor cells to the disadvantageous environment that arises as the tumor grows (<xref ref-type="bibr" rid="B51">Mantovani et al., 2019</xref>).</p>
<p>The association between human papillomavirus (HPV) and some cancers, including cervical, head and neck, vulvar, anorectal, and penile squamous cell carcinomas (SCC), is well characterized by the canonical mechanism involving the HPV oncogenes E6 and E7 and p53 and RB1 proteins (<xref ref-type="bibr" rid="B14">de Martel et al., 2017</xref>). During the transformation process, HPV inserts its genetic material into host human integration sites (IS), which have been identified in regions harboring cancer-related genes, as well as in regions presenting copy number alterations (CNAs) (<xref ref-type="bibr" rid="B7">Busso-Lopes et al., 2015</xref>; <xref ref-type="bibr" rid="B50">Macedo et al., 2020</xref>; <xref ref-type="bibr" rid="B60">Pinatti et al., 2021</xref>). Indeed, integration of DNA-copy number alterations and other omics data have shown that DNA methylation, mRNA, and miRNA expressions alterations affect coding-genes and miRNAs located within or near the HPV common integration sites (<xref ref-type="bibr" rid="B5">Barzon et al., 2014</xref>; <xref ref-type="bibr" rid="B23">Groves and Coleman, 2018</xref>; <xref ref-type="bibr" rid="B63">Rosa et al., 2019</xref>; <xref ref-type="bibr" rid="B60">Pinatti et al., 2021</xref>).</p>
<p>In the last decade, it has been also demonstrated that the wild-type p53 protein plays primarily its role as a transcription factor by regulating a large network of protein-coding genes and non-coding RNAs, including miRNAs, both inducing or repressing their targets (<xref ref-type="bibr" rid="B28">Hermeking, 2012</xref>; <xref ref-type="bibr" rid="B20">Fischer, 2017</xref>). In addition, the p53 protein regulates miRNA processing, primarily through its central DNA-binding domain, a target site of most cancer-specific mutations. Interestingly, miRNAs can also regulate p53 expression by matching in the seed region into the 3&#x2032;UTR of <italic>TP53</italic> mRNA, directly inducing the repression of <italic>TP53</italic> or its regulators (<xref ref-type="bibr" rid="B28">Hermeking, 2012</xref>; <xref ref-type="bibr" rid="B29">Hermeking et al., 2014</xref>). Although several tumor-specific alterations in the p53-miRNA network have been described in different cancers (<xref ref-type="bibr" rid="B28">Hermeking, 2012</xref>; <xref ref-type="bibr" rid="B12">Datta et al., 2019</xref>), there is no data on miRNAs targeting of <italic>TP53</italic> gene in HPV-associated penile cancer.</p>
<p>PeCa is a rare carcinoma in developed countries, but it presents higher incidence rates in South America, Asia, and Africa, where limited economic and social conditions play a large impact leading to delay in diagnosis, and treatment initiation. In Brazil, specifically in the Northeast region that is particularly affected by low socio-economic conditions and educational levels and high frequency of HPV infection, presents a high incidence of PeCa, with patients presenting additional comorbidities, which contributes to a high incidence of mortality rates (<xref ref-type="bibr" rid="B50">Macedo et al., 2020</xref>; <xref ref-type="bibr" rid="B67">Silva et al., 2021</xref>) However, even in countries that are not impacted by major economic limitations, the incidence and mortality rates of PeCa has increased, mainly among younger patients (<xref ref-type="bibr" rid="B25">Hansen et al., 2018</xref>). Hence, the increased occurrence of PeCa, irrespectively of the countries&#x2019; socioeconomic conditions, has suggested that HPV infection is possibly the main triggering mechanism for tumor development, in addition to poor hygiene of the genital region, phimosis, uncircumcision, and chronic inflammation (<xref ref-type="bibr" rid="B10">Christodoulidou et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Kidd et al., 2017</xref>; <xref ref-type="bibr" rid="B1">Adashek et al., 2019</xref>).</p>
<p>PeCa treatment options are limited. No effective target therapy is available, mainly due to the scarcity of knowledge on the molecular pathways involved in the development and progression of these tumors. Limited data is available on the role and mechanisms of miRNA deregulation in PeCa, including those that disrupt miRNAs targets that regulate critical genes associated with the action of HPV, such as the <italic>TP53</italic> and <italic>RB1</italic> genes. Considering the high frequency of HPV infection in patients with advanced PeCa in Maranh&#xe3;o State, in Northeast of Brazil, in the present study miRNAs expression analysis was performed in high-risk HPV-associated PeCa with <italic>TP53</italic> and <italic>RB1</italic> mRNA downregulated expression, as previously reported by our group in &#x3e;80 and 60% of the patients, respectively (<xref ref-type="bibr" rid="B50">Macedo et al., 2020</xref>).</p>
<p>This study opens the opportunity to better understand the role of <italic>TP53</italic> and <italic>RB1</italic> transcriptional regulators in HPV-associated penile carcinomas and brings much needed knowledge on the molecular tumorigenesis of this still-neglected tumor.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Sample Cohort</title>
<p>Fresh PeCa chemotherapy-naive surgical resection tissue specimens were obtained from 22 patients from the Aldenora Hospital, S&#xe3;o Lu&#xed;s, Maranh&#xe3;o, Brazil. These patients are a subset of a larger cohort of 37 patients previously investigated for HPV <italic>status</italic>, gene, and protein expression for <italic>TP53</italic> and <italic>RB1</italic> (<xref ref-type="bibr" rid="B50">Macedo et al., 2020</xref>). All the samples were collected under patients&#x2019; written informed consent, approved by the Research Ethics Committee on Humans from the Federal University of Maranh&#xe3;o and by the National Research Ethics Commission (CONEP-Brazil, CAAE: 46371515.5.0000.5087). Tumor and adjacent non-tumor tissues, sampled from 2&#xa0;cm distant from the tumor site after histopathological assessment, were obtained before any cancer treatment. At the time of the sample collection, the patients had no history of other cancers or sexually transmitted diseases.</p>
<p>The clinical and histopathological variables were obtained from patients&#x2019; medical records. The mean age of the patients at diagnosis was 64.22 &#xb1; 15.63&#xa0;years, ranging from 32 to 85&#xa0;years old. The patients declared themselves smokers (41%) and alcoholics (45.5%). All tumors were classified as squamous cell carcinoma (SCC), and the condylomatous and keratinized histological subtypes localized mostly in the glans, corpus cavernosum, and corpus spongiosum were the most frequent, 45.4 and 36.4%, respectively. Tumor grades II and III were the most frequent, present in 54.5 and 27.3% of the patients, respectively. Lymphatic and perineural invasion were positive in 18.2 and 22.8% of the patients, who presented mostly ulcerated lesions (68.2% of the cases), followed by vegetative (18.2%) and verrucous (13.6%). Penectomy (partial and total) was performed in 95.4% of the patients. The primary tumor of each patient was positive for HPV by Nested-PCR and DNA sequencing, as described in Macedo <italic>et al.</italic> In this subset, the multiple infections were detected in 50.0% of the cases. The HPV16 genotype was the most frequent (72.2%), followed by the 74 (16.6%), 30, 59 and 66 (11%, each) genotypes. Genotypes found in lower frequencies were 6, 18, 30, 35, 44, 53, 58, and 73 (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). Four cases were positive for HPV, but not genotyped since the samples did not have sufficient DNA for Nested-PCR and/or DNA sequencing analysis. <xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="sec" rid="s12">Supplementary Table S1</xref> present the detailed patients&#x2019; clinical-histopathological information.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Clinical-histopathological profile of patients diagnosed with HPV positive penile carcinoma (<italic>n</italic> &#x3d; 22).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Number (%)</th>
<th align="center">Variable</th>
<th align="center">Number (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="2" align="left">1. Histological subtype</td>
<td colspan="2" align="left">5. Lesion</td>
</tr>
<tr>
<td align="left">Condylomatous</td>
<td align="center">10 (45.4%)</td>
<td align="left">Ulcerated</td>
<td align="center">15 (68.2%)</td>
</tr>
<tr>
<td align="left">Keratinized PeCa</td>
<td align="center">8 (36.4%)</td>
<td align="left">Vegetative</td>
<td align="center">4 (18.2%)</td>
</tr>
<tr>
<td align="left">Mixed</td>
<td align="center">4 (18.2%)</td>
<td align="left">Verrucous</td>
<td align="center">3 (13.6%)</td>
</tr>
<tr>
<td colspan="2" align="left">2. Tumor size</td>
<td colspan="2" align="left">6. Tumor site</td>
</tr>
<tr>
<td align="left">0.6&#x2013;2.0</td>
<td align="center">4 (18.2%)</td>
<td align="left">Glans</td>
<td align="center">9 (40.9%)</td>
</tr>
<tr>
<td align="left">2.1&#x2013;5.0</td>
<td align="center">15 (68.2%)</td>
<td align="left">Glans and foreskin</td>
<td align="center">7 (31.8%)</td>
</tr>
<tr>
<td align="left">5.1&#x2014;10.0</td>
<td align="center">3 (13.6%)</td>
<td align="left">Foreskin</td>
<td align="center">2 (9.1%)</td>
</tr>
<tr>
<td colspan="2" align="left">3. Tumor stage</td>
<td align="left">Glans, foreskin and other areas</td>
<td align="center">4 (18.2%)</td>
</tr>
<tr>
<td align="left">pT1</td>
<td align="center">6 (27.3%)</td>
<td colspan="2" align="left">7. Surgery type</td>
</tr>
<tr>
<td align="left">pT2</td>
<td align="center">9 (40.9%)</td>
<td align="left">Preserved penis</td>
<td align="center">1 (4.5)</td>
</tr>
<tr>
<td align="left">pT3</td>
<td align="center">7 (31.8%)</td>
<td align="left">Partial penectomy</td>
<td align="center">16 (72.7%)</td>
</tr>
<tr>
<td colspan="2" align="left">4. Tumor grade</td>
<td align="left">Radical penectomy</td>
<td align="center">5 (22.7%)</td>
</tr>
<tr>
<td align="left">I</td>
<td align="center">4 (18.2%)</td>
<td colspan="2" align="left">8. Phimosis occurrence</td>
</tr>
<tr>
<td align="left">II</td>
<td align="center">12 (54.5%)</td>
<td align="left">Yes</td>
<td align="center">8 (36.3%)</td>
</tr>
<tr>
<td align="left">III</td>
<td align="center">6 (27.3%)</td>
<td align="left">No</td>
<td align="center">9 (41.0%)</td>
</tr>
<tr>
<td align="left">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="left">No information</td>
<td align="center">5 (22.7%)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Considering our previous study (<xref ref-type="bibr" rid="B50">Macedo et al., 2020</xref>) in which we have demonstrated <italic>TP53</italic> and <italic>RB1</italic> down-regulated expression at both mRNA (by real-time PCR) and protein (by immunohistochemistry) levels (86 and 65% of the cases, respectively), in this study, we investigated the possible mechanisms by which these genes might be repressed in HPV-associated PeCa. For that, a subset of 22 tumors was evaluated for differential miRNA expression in relation to adjacent non-tumor tissues (<italic>n</italic> &#x3d; 5). Fifteen of the 22 tumors have data on the expression of <italic>TP53</italic> and <italic>RB1</italic> (73 and 69% of the tumors are underexpressed, respectively) (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). Subsequently, prediction miRNAs binding sites analysis were performed in the <italic>TP53</italic> and <italic>RB1</italic> gene, followed by a search for molecular pathways potentially involved in penile carcinogenesis in HPV-positive patients.</p>
</sec>
<sec id="s2-2">
<title>Global miRNA Expression Analysis</title>
<p>Total RNA from 22 PeCa tumors and five adjacent non-tumor tissues was isolated using the TRIzol protocol (Invitrogen Carlsbad, CA, United States). RNA concentration and quality were tested by measuring the 260/280 and 260/230 ratios using the Nanodrop 2001 spectrophotometer (Willington, DE, United States). Expression of miRNAs was determined using the <italic>nCounter&#xae; Human v.3 miRNA expression</italic> platform (<italic>Nanostring Technologies&#x2122;</italic>, Seattle, Wa, United States), which contains human probes from miRBase v.22 (<ext-link ext-link-type="uri" xlink:href="http://www.mirbase.org">http://www.mirbase.org</ext-link>) targeting 827 human miRNAs, six positive controls, eight negative controls, three positive binding controls, three negative binding controls, five internal reference genes (<italic>ACTB</italic>, <italic>B2M</italic>, <italic>GAPDH</italic>, <italic>RPL19,</italic> and <italic>RPL0</italic>) and five miRNA controls (ath-miR- 159a, cel-miR-248, cel-miR-254, osa-miR-414, and osa-miR-442) as previously reported at the Molecular Oncology Research Center (<xref ref-type="bibr" rid="B56">Pess&#xf4;a-Pereira et al., 2020</xref>; <xref ref-type="bibr" rid="B8">Causin et al., 2021</xref>). The raw data were pre-processed and exported as RCC files. The raw data of the study, as well as the clinical information of the patients are available for access from the <italic>Gene Expression Omnibus</italic> (GEO), under registration GSE197121.</p>
</sec>
<sec id="s2-3">
<title>Differential miRNA Expression Analysis</title>
<p>The raw data were normalized and analyzed using the ROSALIND<sup>&#xae;</sup> Nanostring platform (<ext-link ext-link-type="uri" xlink:href="https://rosalind.onramp.bio/">https://rosalind.onramp.bio/</ext-link>). Adjacent non-tumor tissues distant 2&#xa0;cm for the primary tumor were used as control. Read distribution percentages, identity heatmaps, and sample MDS plots were generated as part of the QC step. The normalization was conducted following the background subtraction based on POS_A probes correction factors (positive control normalization and codeset normalization). For both steps, the geometric mean of each probeset was used to create a normalization factor. The fold changes, <italic>p</italic>-values for comparisons were calculated using the <italic>t</italic>-test method (<italic>p</italic> &#x2264; 0.05). <italic>p</italic>-value adjustment was performed using the Benjamini&#x2013;Hochberg (<italic>p</italic> &#x2264; 0.01) method to estimate false discovery rates (FDR). The clustering of miRNAs for the final heatmap was constructed using the PAM (Partitioning Around Medoids) through a method using the FPC R library (<xref ref-type="bibr" rid="B27">Hennig, 2020</xref>) that takes into account the direction and type of all signals in a pathway, the position, function, and type of each miRNA identified. Fold change (&#x2265;2 for miRNAs upregulated and &#x2264;-2 for miRNAs downregulated), <italic>p</italic>-value and adjusted <italic>p</italic>-value were used as selection criteria for miRDE.</p>
</sec>
<sec id="s2-4">
<title>Prediction of miRNA Binding Sites in the <italic>TP53</italic> and <italic>RB1</italic> Gene Sequences</title>
<p>The <italic>STarMir</italic> software (<xref ref-type="bibr" rid="B35">Kanoria et al., 2016</xref>) was used to identify the miRNAs binding regions in <italic>TP53</italic> and <italic>RB1</italic> genes (CLIP-data). The construction design and nucleic acid fold of <italic>STarMir</italic> are obtained from the <italic>Mfold</italic> package (<xref ref-type="bibr" rid="B82">Zuker, 2003</xref>) and <italic>Sfold</italic> which contains the <italic>Srna</italic> module (<xref ref-type="bibr" rid="B16">Ding et al., 2004</xref>). <italic>Sfold</italic> applies a two-step model for hybridization between mRNA and miRNA. In this model, hybridization of the miRNA-target occurs at an accessible target site and then the hybrid elongates to form the complete miRNA-target duplex. The minimum free energy of hybridization was obtained from the RNA<italic>hybrid</italic> tool (<xref ref-type="bibr" rid="B62">Rehmsmeier et al., 2004</xref>; <xref ref-type="bibr" rid="B49">Long et al., 2007</xref>). Only interactions in &#x201c;seed&#x201d; and &#x201c;seedless&#x201d; regions with LogitProb values &#x2265;0.5; &#x394;G<sub>hybrid</sub> &#x2264; -10.00 and site-access &#x2265; 0.4 were considered.</p>
</sec>
<sec id="s2-5">
<title>Pathway&#x2019;s Enrichment Analysis</title>
<p>Pathway&#x2019;s enrichment analysis was performed by miRPath v.3 - DIANA TOOLS software (<xref ref-type="bibr" rid="B72">Vlachos et al., 2015</xref>) using the Tarbase prediction algorithm and considering the <italic>p</italic>-value threshold &#x2264;0.05. The generated pathways are part of the <italic>Kyoto Encyclopedia of Genes and Genomes</italic> (KEGG). The <italic>TP53</italic> and <italic>RB1</italic> genes were used as filters to generate KEGG pathways. The <italic>&#x2018;pathways union&#x2019;</italic> function was used to generate the related top pathways, considering the <italic>p</italic>-value threshold &#x2264;0.05 and enrichment analysis method by Fisher&#x2019;s Exact Test.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Overexpressed miRNAs Targeting TP53 and RB1 in Penile Cancer Patients</title>
<p>Differential miRNA expression analysis was performed in the 22 PeCa tissues. The global miRNA expression profile of these tumors showed 507 differentially expressed miRNAs (miRDE) compared to a group of five adjacent non-tumor penile tissues. Among these miRDE, 494 (97.4%) miRNAs were downregulated and 13 (2.6%) upregulated (<xref ref-type="fig" rid="F1">Figure 1</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). Considering the previously detected lower <italic>TP53</italic> mRNA expression (85.7% (12/14) and lower protein expression in 87.5% (14/16) of these cases (<xref ref-type="bibr" rid="B50">Macedo et al., 2020</xref>), we further investigated the up-regulated miRNAs in the subset of 22 tumors, of which 73% were downregulated. The miRDEs let-7a-5p, miR-130a-3p, miR-15b-5p, miR-21-5p, and miR-25-3p were overexpressed in 100% of cases. Interestingly, 84.6% (<italic>n</italic> &#x3d; 11) of miRDEs were found to be located at HPV integration sites. The HPV integration sites were identified as target regions of the oncogenic HPV16 genotype, the most frequently detected genotype in our study cohort (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The box-plots represent a comparison of the relative expression levels of the 13 miRDE upregulated in tumors (<italic>n</italic> &#x3d; 22) versus normal tissue (<italic>n</italic> &#x3d; 5); <italic>p</italic> &#x2264; 0.05 by <italic>t</italic>-test and adj.-p &#x2264; 0.01 by Benjamini&#x2013;Hochberg; &#x2a;<italic>p</italic> &#x2264; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x2264; 0.01 and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x2264; 0.001.</p>
</caption>
<graphic xlink:href="fgene-13-875939-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Thirteen differentially expressed miRNAs observed upregulated in the PeCa patients, and their respective chromosomal location and HPV integration sites (presented by miRNA number).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">miRNAs</th>
<th align="center">Cytoband</th>
<th align="center">Start&#x2014;Stop (bp)</th>
<th align="center">Integration site HPV (genotype)<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="center">miRNA expression</th>
<th align="center">Frequency (%)</th>
<th align="center">Log2FC</th>
<th align="center">
<italic>p</italic>-Value</th>
<th align="center">Adj<italic>.-p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">let-7a-5p</td>
<td align="center">9q22.32</td>
<td align="center">96,938,234&#x2013;96,938,325</td>
<td>yes, (16.18)</td>
<td align="center">upregulated</td>
<td align="char" char=".">100.0</td>
<td align="char" char=".">2.2266</td>
<td align="char" char=".">0.0019</td>
<td align="char" char=".">0.0044</td>
</tr>
<tr>
<td align="left">miR-130a-3p</td>
<td align="center">11q12.1</td>
<td align="center">57,641,198&#x2013;57,641,286</td>
<td>yes, (16)</td>
<td align="center">upregulated</td>
<td align="char" char=".">100.0</td>
<td align="char" char=".">1.1603</td>
<td align="char" char=".">0.0008</td>
<td align="char" char=".">0.0024</td>
</tr>
<tr>
<td align="left">miR-142-3p</td>
<td align="center">17q22</td>
<td align="center">58,331,222&#x2013;58,331,327</td>
<td>yes, (16)</td>
<td align="center">upregulated</td>
<td align="char" char=".">86.4</td>
<td align="char" char=".">1.4576</td>
<td align="char" char=".">0.0054</td>
<td align="char" char=".">0.0089</td>
</tr>
<tr>
<td align="left">miR-15b-5p</td>
<td align="center">3q25.33</td>
<td align="center">160,404,588&#x2013;160,404,685</td>
<td>yes, (16)</td>
<td align="center">upregulated</td>
<td align="char" char=".">100.0</td>
<td align="char" char=".">1.6509</td>
<td align="char" char=".">0.0000</td>
<td align="char" char=".">0.0006</td>
</tr>
<tr>
<td align="left">miR-16-5p</td>
<td align="center">13q14.2</td>
<td align="center">50,623,109&#x2013;50,623,197</td>
<td>yes, (16)</td>
<td align="center">upregulated</td>
<td align="char" char=".">95.5</td>
<td align="char" char=".">1.2512</td>
<td align="char" char=".">0.0008</td>
<td align="char" char=".">0.0024</td>
</tr>
<tr>
<td align="left">miR-200c-3p</td>
<td align="center">12p13.31</td>
<td align="center">6,963,694&#x2013;6,963,771</td>
<td>no</td>
<td align="center">upregulated</td>
<td align="char" char=".">95.5</td>
<td align="char" char=".">1.2541</td>
<td align="char" char=".">0.0023</td>
<td align="char" char=".">0.0049</td>
</tr>
<tr>
<td align="left">miR-205-5p</td>
<td align="center">1q32.2</td>
<td align="center">209,428,820&#x2013;209,432,384</td>
<td>yes, (16.18)</td>
<td align="center">upregulated</td>
<td align="char" char=".">95.5</td>
<td align="char" char=".">1.4610</td>
<td align="char" char=".">0.0013</td>
<td align="char" char=".">0.0035</td>
</tr>
<tr>
<td align="left">miR-21-5p</td>
<td align="center">17q23.1</td>
<td align="center">59,841,262&#x2013;59,841,342</td>
<td>yes, (16.18)</td>
<td align="center">upregulated</td>
<td align="char" char=".">100.0</td>
<td align="char" char=".">1.4629</td>
<td align="char" char=".">0.0004</td>
<td align="char" char=".">0.0016</td>
</tr>
<tr>
<td align="left">miR-223-3p</td>
<td align="center">Xq12</td>
<td align="center">66,018,870&#x2013;66,018,979</td>
<td>no</td>
<td align="center">upregulated</td>
<td align="char" char=".">95.5</td>
<td align="char" char=".">2.0222</td>
<td align="char" char=".">0.0028</td>
<td align="char" char=".">0.0056</td>
</tr>
<tr>
<td align="left">miR-22-3p</td>
<td align="center">17p13.3</td>
<td align="center">1,617,197&#x2013;1,617,281</td>
<td>yes, (16)</td>
<td align="center">upregulated</td>
<td align="char" char=".">91.0</td>
<td align="char" char=".">1.0605</td>
<td align="char" char=".">0.0018</td>
<td align="char" char=".">0.0043</td>
</tr>
<tr>
<td align="left">miR-25-3p</td>
<td align="center">7q22.1</td>
<td align="center">100,093,560&#x2013;100,093,643</td>
<td>yes, (16)</td>
<td align="center">upregulated</td>
<td align="char" char=".">100.0</td>
<td align="char" char=".">1.5448</td>
<td align="char" char=".">0.0001</td>
<td align="char" char=".">0.0008</td>
</tr>
<tr>
<td align="left">miR-31-5p</td>
<td align="center">9p21.3</td>
<td align="center">21,512,114&#x2013;21,512,184</td>
<td>yes, (16)</td>
<td align="center">upregulated</td>
<td align="char" char=".">91.0</td>
<td align="char" char=".">2.0012</td>
<td align="char" char=".">0.0006</td>
<td align="char" char=".">0.0020</td>
</tr>
<tr>
<td align="left">miR-93-5p</td>
<td align="center">7q22.1</td>
<td align="center">99,691,391&#x2013;99,691,470</td>
<td>yes, (16)</td>
<td align="center">upregulated</td>
<td align="char" char=".">95.5</td>
<td align="char" char=".">1.0525</td>
<td align="char" char=".">0.0016</td>
<td align="char" char=".">0.0040</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>Data obtained from HPVBase (<xref ref-type="bibr" rid="B40">Kumar Gupta and Kumar, 2015</xref>) and VISDB (<xref ref-type="bibr" rid="B70">Tang et al., 2020</xref>).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>
<xref ref-type="fig" rid="F1">Figure 1</xref> Relative expression of thirteen miRNAs upregulated (tumor vs. non-tumor) in the PeCa studied.</p>
<p>Prediction of miRNA binding sites revealed that all 13 up-regulated miRNAs targeted the <italic>TP53</italic> gene, acting as negative regulators of this tumor suppressor gene expression. We found 131 target sites for these miRNAs: 98.5% in the non-canonical seedless regions and two in the seed regions (<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>). Interestingly, <italic>TP53</italic> presents 129 seedless sites, in which all 13 differentially expressed miRNAs could bind. The coding region presented the highest number of target seedless regions with 81/129 sites (62.8%), followed by 3&#x2032;UTR with 32/129 sites (24.8%) and 5&#x2032;UTR with 16/129 sites (12.4%). Bindings in the gene seed regions were observed to occur with miR-22-3p and let-7a-5p and both interactions were of 8mer-type. The binding between let-7a-5p and <italic>TP53</italic> occurred in a canonical 3&#x2032;UTR region, while the binding of miR-22-3p occurred in a non-canonical coding region (site position: 534&#x2013;570 (bp)<italic>;</italic> seed position: 564&#x2013;570 (bp). This region is highly conserved (site conservation &#x3d; 0.963 and seed conservation &#x3d; 0.933). Our analysis also revealed that miR-93-5p and let-7a-5p can bind to a higher number of seedless regions, 21 and 20 predicted binding sites, respectively, while miR-15b-5p, miR-16-5p, miR-223-5p, miR-22-5p, and miR-31-5p bind to a lower number of regions, i.e., five predicted sites for each. Considering the size of the <italic>TP53</italic> mRNA (2,591 bp; transcript variant 1, NCBI Reference Sequence: NM_000546.5) we observed that the 1,000&#x2013;1073bp, 2,500&#x2013;2580bp, and 835&#x2013;899bp intervals are miRNA binding hotspots regions, harboring a total of 22, 16 and 14 sites, respectively. <xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="table" rid="T3">Table 3</xref> show the ten main binding sites observed in the <italic>TP53</italic> gene.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>From <bold>(A&#x2013;J)</bold>, hybrid mRNA (<italic>TP53</italic>)&#x2014;miRNA upregulated. The upper and lower sequences represent the miRNA in the 3&#x2032;-5&#x2032; sense and 5&#x2032;-3&#x2032; sense hybridization sites in the mRNA, repectively. The numbers at the ends of the mRNA show the starting and ending position of the hybridization sites. Dots between the sequences indicate the paired nucleotides. Nucleotides in red mark the &#x201c;seed&#x201d; sequence in miRNA. The energy resulting from the hybridization was calculated by the RNA<italic>hybrid</italic> algorithm.</p>
</caption>
<graphic xlink:href="fgene-13-875939-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Top 10 miRNA binding regions identified in TP53 and RB1 genes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="9" align="left">Binding regions in TP53</th>
</tr>
<tr>
<th align="left">miRNA</th>
<th align="center">Site position<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</th>
<th align="left">LogitProb<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref>
</th>
<th align="center">Region</th>
<th align="center">&#x394;G<sub>hybrid</sub>
<xref ref-type="table-fn" rid="Tfn4">
<sup>c</sup>
</xref>
</th>
<th align="center">&#x394;G<sub>total</sub>
<xref ref-type="table-fn" rid="Tfn5">
<sup>d</sup>
</xref>
</th>
<th align="center">Site access<xref ref-type="table-fn" rid="Tfn6">
<sup>e</sup>
</xref>
</th>
<th align="center">Site consv<xref ref-type="table-fn" rid="Tfn7">
<sup>f</sup>
</xref>
</th>
<th align="center">Site location<xref ref-type="table-fn" rid="Tfn8">
<sup>g</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">miR-93-5p</td>
<td align="char" char="ndash">1,166&#x2013;1,174</td>
<td align="char" char=".">0.864</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;15.900</td>
<td align="char" char=".">&#x2212;15.316</td>
<td align="char" char=".">0.714</td>
<td align="char" char=".">0.959</td>
<td align="char" char=".">0.820</td>
</tr>
<tr>
<td align="left">miR-93-5p</td>
<td align="char" char="ndash">1,166&#x2013;1,186</td>
<td align="char" char=".">0.848</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;18.400</td>
<td align="char" char=".">&#x2212;18.018</td>
<td align="char" char=".">0.805</td>
<td align="char" char=".">0.981</td>
<td align="char" char=".">0.820</td>
</tr>
<tr>
<td align="left">let-7a-5p</td>
<td align="char" char="ndash">1829&#x2013;1850</td>
<td align="char" char=".">0.835</td>
<td align="left">3&#x2032;UTR<xref ref-type="table-fn" rid="Tfn9">
<sup>h</sup>
</xref>
</td>
<td align="char" char=".">&#x2212;21.500</td>
<td align="char" char=".">&#x2212;12.736</td>
<td align="char" char=".">0.631</td>
<td align="char" char=".">0.001</td>
<td align="char" char=".">0.357</td>
</tr>
<tr>
<td align="left">let-7a-5p</td>
<td align="char" char="ndash">1,161&#x2013;1,177</td>
<td align="char" char=".">0.831</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;20.100</td>
<td align="char" char=".">&#x2212;19.630</td>
<td align="char" char=".">0.767</td>
<td align="char" char=".">0.900</td>
<td align="char" char=".">0.816</td>
</tr>
<tr>
<td align="left">let-7a-5p</td>
<td align="char" char="ndash">1,161&#x2013;1,179</td>
<td align="char" char=".">0.808</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;22.300</td>
<td align="char" char=".">&#x2212;21.904</td>
<td align="char" char=".">0.783</td>
<td align="char" char=".">0.910</td>
<td align="char" char=".">0.816</td>
</tr>
<tr>
<td align="left">miR-205-5p</td>
<td align="char" char="ndash">1,025&#x2013;1,031</td>
<td align="char" char=".">0.787</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;17.500</td>
<td align="char" char=".">&#x2212;10.665</td>
<td align="char" char=".">0.602</td>
<td align="char" char=".">0.997</td>
<td align="char" char=".">0.701</td>
</tr>
<tr>
<td align="left">miR-22-3p</td>
<td align="char" char="ndash">534&#x2013;570</td>
<td align="char" char=".">0.762</td>
<td align="left">CDS<xref ref-type="table-fn" rid="Tfn10">
<sup>i</sup>
</xref>
</td>
<td align="char" char=".">&#x2212;21.100</td>
<td align="char" char=".">2.9490</td>
<td align="char" char=".">0.448</td>
<td align="char" char=".">0.963</td>
<td align="char" char=".">0.285</td>
</tr>
<tr>
<td align="left">miR-31-5p</td>
<td align="char" char="ndash">1,158&#x2013;1,177</td>
<td align="char" char=".">0.755</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;21.800</td>
<td align="char" char=".">-16.974</td>
<td align="char" char=".">0.667</td>
<td align="char" char=".">0.912</td>
<td align="char" char=".">0.813</td>
</tr>
<tr>
<td align="left">miR-205-5p</td>
<td align="char" char="ndash">835&#x2013;848</td>
<td align="char" char=".">0.755</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;23.700</td>
<td align="char" char=".">-13.153</td>
<td align="char" char=".">0.442</td>
<td align="char" char=".">0.907</td>
<td align="char" char=".">0.540</td>
</tr>
<tr>
<td align="left">miR-223-3p</td>
<td align="char" char="ndash">859&#x2013;870</td>
<td align="char" char=".">0.727</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;16.200</td>
<td align="char" char=".">-6.7460</td>
<td align="char" char=".">0.421</td>
<td align="char" char=".">0.803</td>
<td align="char" char=".">0.560</td>
</tr>
<tr>
<td colspan="9" align="left">
<bold>Binding regions in RB1</bold>
</td>
</tr>
<tr>
<td align="left">let-7a-5p</td>
<td align="char" char="ndash">2,506&#x2013;2,517</td>
<td align="char" char=".">0.953</td>
<td align="left">CDS<xref ref-type="table-fn" rid="Tfn10">
<sup>i</sup>
</xref>
</td>
<td align="char" char=".">&#x2212;18.100</td>
<td align="char" char=".">&#x2212;16.708</td>
<td align="char" char=".">0.823</td>
<td align="char" char=".">0.999</td>
<td align="char" char=".">0.840</td>
</tr>
<tr>
<td align="left">miR-130a-3p</td>
<td align="char" char="ndash">2,529&#x2013;2,537</td>
<td align="char" char=".">0.917</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;17.100</td>
<td align="char" char=".">&#x2212;11.446</td>
<td align="char" char=".">0.708</td>
<td align="char" char=".">1.000</td>
<td align="char" char=".">0.848</td>
</tr>
<tr>
<td align="left">miR-31-5p</td>
<td align="char" char="ndash">4,704&#x2013;4,721</td>
<td align="char" char=".">0.912</td>
<td align="left">3&#x2032;UTR</td>
<td align="char" char=".">&#x2212;20.100</td>
<td align="char" char=".">&#x2212;17.244</td>
<td align="char" char=".">0.651</td>
<td align="char" char=".">1.000</td>
<td align="char" char=".">0.963</td>
</tr>
<tr>
<td align="left">let-7a-5p</td>
<td align="char" char="ndash">4,686&#x2013;4,712</td>
<td align="char" char=".">0.911</td>
<td align="left">3&#x2032;UTR</td>
<td align="char" char=".">&#x2212;22.100</td>
<td align="char" char=".">&#x2212;17.127</td>
<td align="char" char=".">0.608</td>
<td align="char" char=".">0.999</td>
<td align="char" char=".">0.953</td>
</tr>
<tr>
<td align="left">miR-31-5p</td>
<td align="char" char="ndash">4,704&#x2013;4,719</td>
<td align="char" char=".">0.899</td>
<td align="left">3&#x2032;UTR</td>
<td align="char" char=".">&#x2212;18.700</td>
<td align="char" char=".">&#x2212;16.076</td>
<td align="char" char=".">0.627</td>
<td align="char" char=".">1.000</td>
<td align="char" char=".">0.963</td>
</tr>
<tr>
<td align="left">miR-31-5p</td>
<td align="char" char="ndash">4,704&#x2013;4,717</td>
<td align="char" char=".">0.898</td>
<td align="left">3&#x2032;UTR</td>
<td align="char" char=".">&#x2212;17.200</td>
<td align="char" char=".">&#x2212;14.545</td>
<td align="char" char=".">0.672</td>
<td align="char" char=".">1.000</td>
<td align="char" char=".">0.963</td>
</tr>
<tr>
<td align="left">let-7a-5p</td>
<td align="char" char="ndash">4,686&#x2013;4,719</td>
<td align="char" char=".">0.896</td>
<td align="left">3&#x2032;UTR</td>
<td align="char" char=".">&#x2212;20.700</td>
<td align="char" char=".">&#x2212;14.420</td>
<td align="char" char=".">0.573</td>
<td align="char" char=".">1.000</td>
<td align="char" char=".">0.953</td>
</tr>
<tr>
<td align="left">miR-130a-3p</td>
<td align="char" char="ndash">2,529&#x2013;2,534</td>
<td align="char" char=".">0.892</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;15.900</td>
<td align="char" char=".">&#x2212;10.778</td>
<td align="char" char=".">0.646</td>
<td align="char" char=".">1.000</td>
<td align="char" char=".">0.848</td>
</tr>
<tr>
<td align="left">miR-142-3p</td>
<td align="char" char="ndash">2002&#x2013;2026</td>
<td align="char" char=".">0.883</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;18.500</td>
<td align="char" char=".">&#x2212;12.601</td>
<td align="char" char=".">0.692</td>
<td align="char" char=".">0.847</td>
<td align="char" char=".">0.659</td>
</tr>
<tr>
<td align="left">let-7a-5p</td>
<td align="char" char="ndash">562&#x2013;571</td>
<td align="char" char=".">0.878</td>
<td align="left">CDS</td>
<td align="char" char=".">&#x2212;15.500</td>
<td align="char" char=".">&#x2212;14.118</td>
<td align="char" char=".">0.846</td>
<td align="char" char=".">0.957</td>
<td align="char" char=".">0.142</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn2">
<label>a</label>
<p>Start and end position of the target region (site) predicted to be bound by miRNA.</p>
</fn>
<fn id="Tfn3">
<label>b</label>
<p>Probability of the site being an miRNA binding site as predicted by our nonlinear logistic model.</p>
</fn>
<fn id="Tfn4">
<label>c</label>
<p>A measure of stability for miRNA:target hybrid as computed by RNAhybrid.</p>
</fn>
<fn id="Tfn5">
<label>d</label>
<p>A measure of the total energy change of the hybridization.</p>
</fn>
<fn id="Tfn6">
<label>e</label>
<p>A measure of structural accessibility as computed by the average probability of a nucleotide being single-stranded (i.e., unpaired) for the nucleotides in the predicted binding site.</p>
</fn>
<fn id="Tfn7">
<label>f</label>
<p>Conservation score by the PhastCons program for the binding site.</p>
</fn>
<fn id="Tfn8">
<label>g</label>
<p>Relative starting location of the predicted binding site along the length of the sequence (e.g., for 3&#x2b9;&#x2032; UTR, 0 indicates the 5&#x2b9;&#x2032; end of the UTR, and one corresponds to the 3&#x2b9;&#x2032; end).</p>
</fn>
<fn id="Tfn9">
<label>h</label>
<p>&#x201c;seed&#x201d; region in 3&#x2032;UTR (&#x201c;seed&#x201d; position: 1843&#x2013;1849, binding: 8mer).</p>
</fn>
<fn id="Tfn10">
<label>i</label>
<p>&#x201c;seed&#x201d; region in CDS (&#x201c;seed&#x201d; position: 564&#x2013;570, binding: 8mer).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>
<xref ref-type="fig" rid="F2">Figure 2</xref> Top 10 miRNAs binding site regions identified in the <italic>TP53</italic> gene.</p>
<p>The lower expression of <italic>RB1</italic> gene was also found in 69% of the tumors. Interestingly, we observed that the thirteen overexpressed miRNAs that down-regulated <italic>TP53</italic> also regulated <italic>RB1</italic> expression (<xref ref-type="fig" rid="F3">Figure 3</xref>). A total of 490 miRNA binding sites were identified for <italic>RB1</italic> (<xref ref-type="sec" rid="s12">Supplementary Table S3</xref>), of which 477 (97.3%) were located in the non-canonical seedless regions, while 13 (2.7%) were in the seed regions. Bindings in the seed regions occurred with seven overexpressed miRNAs (miR-93-5p, let-7a-5p, miR-25-3p, miR-130a-3p, miR-200c-3p, miR-205-5p, and miR-142-3p), most of which were 7mer-A1 (46.2%). Other binding sites identified in the seed regions were offset-6mer (23.0%), 6mer, and 7mer-m8 (15.4%, each) (<xref ref-type="sec" rid="s12">Supplementary Table S2A</xref>). The <italic>RB1</italic> gene also presented the highest number of miRNA target sites in seedless regions (490 in total), in which all 13 differentially expressed miRNAs can bind. The <italic>RB1</italic> coding region also had the highest number of seedless regions (57.0%), followed by 3&#x2032;UTR (42.4%) and 5&#x2032;UTR (0.6%). The miRNA let-7a-5p showed the highest number of seedless bindings (77 predicted sites), followed by miR-93-5p (74 predicted sites). The miRNAs presenting a smaller number of regions were miR-16-5p, miR-205-5p, miR-223-3p (22 predicted sites, each) and miR-22-3p (19 predicted sites). The <italic>RB1</italic> gene also presented hotspots regions where several miRNAs can bind. The intervals between 2,202&#x2013;2297pb and 1906&#x2013;1997&#xa0;pb house a total of 21, and 19 sites, respectively (NCBI Reference Sequence: NM_000321.3). <xref ref-type="table" rid="T3">Table 3</xref> shows the top 10 binding sites in <italic>RB1</italic>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>From <bold>(A&#x2013;J)</bold>, hybrid mRNA (RB1)&#x2014;miRNA upregulated. The upper and lower sequences represent the miRNA in the 3&#x2032;-5&#x2032; sense and 5&#x2032;-3&#x2032; sense hybridization sites in the mRNA, respectively. The numbers at the ends of the mRNA show the starting and ending position of the hybridization sites. Dots between the sequences indicate the paired nucleotides. Nucleotides in red mark the &#x201c;seed&#x201d; sequence in miRNA. The energy resulting from the hybridization was calculated by the RNA<italic>hybrid</italic> algorithm.</p>
</caption>
<graphic xlink:href="fgene-13-875939-g003.tif"/>
</fig>
<p>
<xref ref-type="fig" rid="F3">Figure 3</xref> Top 10 miRNAs binding site regions identified in the <italic>RB1</italic> gene.</p>
</sec>
<sec id="s3-2">
<title>Molecular Pathways</title>
<p>KEGG pathway analysis was performed to identify the involvement of the 13 upregulated miRNAs above in disease and signaling pathways. This analysis revealed a total of 13 KEGG pathways (<xref ref-type="sec" rid="s12">Supplementary Table S3</xref>), of which the top was: viral carcinogenesis (hsa05203) (<italic>p</italic>&#x3d;&#x3c;1.00 &#xd7; 10<sup>&#x2212;325</sup>), central carbon metabolism in cancer (hsa05230) (<italic>p</italic> &#x3d; 3.39 &#xd7; 10<sup>&#x2212;06</sup>), chronic myeloid leukemia (hsa05220) (<italic>p</italic> &#x3d; 1.33 &#xd7; 10<sup>&#x2212;05</sup>), glioma (hsa05214) (<italic>p</italic> &#x3d; 0.0064), melanoma (hsa05218) (<italic>p</italic> &#x3d; 0.0120) and cell cycle (hsa04110) (<italic>p</italic> &#x3d; 0.0224) (<xref ref-type="fig" rid="F4">Figure 4</xref>; <xref ref-type="table" rid="T4">Table 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Top pathways identified by the tarbase algorithm (<italic>p</italic> &#x3c; 0.05; DIANA/miRPath v.3). Red colors indicate a stronger role of the miRNAs on a given pathways as compared to the lighter colors.</p>
</caption>
<graphic xlink:href="fgene-13-875939-g004.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Top six molecular pathways involving overexpressed miRNAs targeting <italic>TP53</italic> and <italic>RB1</italic> genes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">KEGG Pathway</th>
<th align="center">
<italic>p-</italic>Value pathway</th>
<th align="center">miRNAs name</th>
<th align="center">Target gene</th>
<th align="center">
<italic>p-</italic>Value interaction</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="6" align="left">Viral carcinogenesis (hsa05203)</td>
<td rowspan="6" align="center">&#x3c;1.00 &#xd7; 10<sup>&#x2212;325</sup>
</td>
<td align="left">let-7a-5p</td>
<td align="left">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">1.16 &#xd7; 10<sup>&#x2212;10</sup>
</td>
</tr>
<tr>
<td align="left">miR-130a-3p</td>
<td align="left">
<italic>RB1</italic>
</td>
<td align="char" char=".">0.0039733</td>
</tr>
<tr>
<td align="left">miR-16-5p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">6.44 &#xd7; 10<sup>&#x2212;08</sup>
</td>
</tr>
<tr>
<td align="left">miR-205-5p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">6.44 &#xd7; 10<sup>&#x2212;08</sup>
</td>
</tr>
<tr>
<td align="left">miR-22-3p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">6.44 &#xd7; 10<sup>&#x2212;08</sup>
</td>
</tr>
<tr>
<td align="left">miR-93-5p</td>
<td align="left">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">1.16 &#xd7; 10<sup>&#x2212;10</sup>
</td>
</tr>
<tr>
<td rowspan="5" align="left">Central carbon metabolism in cancer (hsa05230)</td>
<td rowspan="5" align="center">3.39 &#xd7; 10<sup>&#x2212;06</sup>
</td>
<td align="left">let-7a-5p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">0.0011443</td>
</tr>
<tr>
<td align="left">miR-16-5p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">0.0005629</td>
</tr>
<tr>
<td align="left">miR-205-5p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">0.0005629</td>
</tr>
<tr>
<td align="left">miR-22-3p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">0.0005629</td>
</tr>
<tr>
<td align="left">miR-93-5p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">0.0011443</td>
</tr>
<tr>
<td rowspan="5" align="left">Chronic myeloid leukemia (hsa05220)</td>
<td rowspan="5" align="center">1.33 &#xd7; 10<sup>&#x2212;05</sup>
</td>
<td align="left">let-7a-5p</td>
<td align="left">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">0.0005998</td>
</tr>
<tr>
<td align="left">miR-16-5p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">0.0041602</td>
</tr>
<tr>
<td align="left">miR-205-5p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">0.0041602</td>
</tr>
<tr>
<td align="left">miR-22-3p</td>
<td align="left">
<italic>TP53</italic>
</td>
<td align="center">0.0041602</td>
</tr>
<tr>
<td align="left">miR-93-5p</td>
<td align="left">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">0.0005998</td>
</tr>
<tr>
<td rowspan="3" align="left">Glioma (hsa05214)</td>
<td rowspan="3" align="center">0.0064303</td>
<td align="left">let-7a-5p</td>
<td align="left">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">0.0017756</td>
</tr>
<tr>
<td align="left">miR-130a-3</td>
<td align="left">
<italic>RB1</italic>
</td>
<td align="center">0.0105785</td>
</tr>
<tr>
<td align="left">miR-93-5p</td>
<td align="center">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">0.0017756</td>
</tr>
<tr>
<td rowspan="2" align="left">Melanoma (hsa05218)</td>
<td rowspan="2" align="center">0.0120334</td>
<td align="left">let-7a-5p</td>
<td align="center">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">0.0041201</td>
</tr>
<tr>
<td align="left">miR-93-5p</td>
<td align="center">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">0.0041201</td>
</tr>
<tr>
<td rowspan="3" align="left">Cell cycle (hsa04110)</td>
<td rowspan="3" align="center">0.0224147</td>
<td align="left">let-7a-5p</td>
<td align="center">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">0.0038093</td>
</tr>
<tr>
<td align="left">miR-130a-3</td>
<td align="left">
<italic>RB1</italic>
</td>
<td align="center">0.0014269</td>
</tr>
<tr>
<td align="left">miR-93-5p</td>
<td align="center">
<italic>TP53</italic> and <italic>RB1</italic>
</td>
<td align="center">0.0038093</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>
<xref ref-type="fig" rid="F4">Figure 4</xref> Unsupervised hierarchical grouping of the 13 miRNAs differentially expressed and top related pathways.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>It is well known that the integration of the human papillomavirus (HPV) can occur at or near cancer-related genes (<xref ref-type="bibr" rid="B17">Durst et al., 1987</xref>). However, it is not completely understood the mechanisms by which the HPV virus controls its integration into the host cell genome and the molecular consequences that ultimately lead to the development and progression of the HPV infected tumors. Studies have used high-performance technologies to identify virus integration sites in the host genome to better understand the molecular alterations that occur in the host cell, leading to the loss of its genomic stability (<xref ref-type="bibr" rid="B2">Akagi et al., 2014</xref>; <xref ref-type="bibr" rid="B6">Bodelon et al., 2016</xref>; <xref ref-type="bibr" rid="B47">Liu et al., 2016</xref>; <xref ref-type="bibr" rid="B22">Gao et al., 2017</xref>; <xref ref-type="bibr" rid="B63">Rosa et al., 2019</xref>). The most well-known example is the canonical HPV/<italic>TP53</italic>/<italic>RB1</italic> signaling pathway initiated by the viral E2 disruption. This leads to the loss of the negative feedback control of the viral oncoproteins E6 and E7, mediating ubiquitination and degradation of the p53 and pRb proteins, respectively (<xref ref-type="bibr" rid="B69">Squarzanti et al., 2018</xref>). Other authors proposed that HPV integration also directly causes activation of oncogenes or inactivation of tumor suppressors, as reported in HPV-related squamous cell carcinomas (<xref ref-type="bibr" rid="B54">Parfenov et al., 2014</xref>; <xref ref-type="bibr" rid="B32">Hu et al., 2015</xref>).</p>
<p>In our previous study, we showed downregulated mRNA expression of the <italic>TP53</italic> and <italic>RB1</italic> genes in 86 and 65% of high-risk HPV-associated PeCa, respectively. In the present subset of cases, we evaluated miRNAs&#x2019; expression, and observed that 73 and 69% were downregulated for both genes, respectively, suggesting the existence of other regulatory mechanisms in addition to the canonical HPV/<italic>TP53</italic>/<italic>RB1</italic> pathway (<xref ref-type="bibr" rid="B50">Macedo et al., 2020</xref>). Although not all the cases presented with expression alterations in these genes, these results were recently corroborated by Furuya <italic>et al.</italic>, who also described <italic>TP53</italic> reduced expression levels in penile tumors.</p>
<p>Compared to other cancers (<xref ref-type="bibr" rid="B65">Santos et al., 2018</xref>; <xref ref-type="bibr" rid="B12">Datta et al., 2019</xref>; <xref ref-type="bibr" rid="B34">Hussen et al., 2021</xref>; <xref ref-type="bibr" rid="B44">Liu et al., 2021</xref>), few studies have described epigenetic events in penile tumors, whether evaluating miRNAs (<xref ref-type="bibr" rid="B79">Zhang et al., 2015</xref>; <xref ref-type="bibr" rid="B26">Hartz et al., 2016</xref>; <xref ref-type="bibr" rid="B38">Kuasne et al., 2017</xref>; <xref ref-type="bibr" rid="B57">Peta et al., 2017</xref>; <xref ref-type="bibr" rid="B3">Ayoubian et al., 2021</xref>; <xref ref-type="bibr" rid="B21">Furuya et al., 2021</xref>) or by evaluating methylation patterns (<xref ref-type="bibr" rid="B18">Feber et al., 2015</xref>; <xref ref-type="bibr" rid="B39">Kuasne et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Marchi et al., 2017</xref>). Changes by both mechanisms could justify the downregulation of <italic>TP53</italic> and <italic>RB1</italic>, however only <italic>RB1</italic> has been reported to be hypermethylated (<xref ref-type="bibr" rid="B52">Marchi et al., 2017</xref>). Additionally, as most pathogenic variants of these genes have been described in coding regions, the mRNA downregulation of <italic>TP53</italic> and <italic>RB1</italic> does not appear to be due to mutations (<xref ref-type="bibr" rid="B19">Feber et al., 2016</xref>; <xref ref-type="bibr" rid="B75">Wang et al., 2019</xref>; <xref ref-type="bibr" rid="B9">Chahoud et al., 2021</xref>). Furthermore, few studies have evaluated patients&#x2019; cohorts with a high incidence of HPV infection, remaining poorly known the impact of HPV infection in disrupting mRNA/miRNA networks in penile tumors (<xref ref-type="bibr" rid="B80">Zhang et al., 2015</xref>; <xref ref-type="bibr" rid="B26">Hartz et al., 2016</xref>; <xref ref-type="bibr" rid="B38">Kuasne et al., 2017</xref>; <xref ref-type="bibr" rid="B3">Ayoubian et al., 2021</xref>; <xref ref-type="bibr" rid="B21">Furuya et al., 2021</xref>). In the present study, our main goal was to determine whether altered miRNAs expression could be associated with the down-regulation of the <italic>TP53</italic> and <italic>RB1</italic> expression in the etiopathogenesis of HPV-associated PeCa. This goal is of critical relevance to these particular virus associated with infected tumors, considering that the patient cohort investigated, from the State of Maranh&#xe3;o in Northeastern Brazil, is characterized by advanced PeCa and a high rate of HPV infection (&#x3e;90%), as we reported previously (<xref ref-type="bibr" rid="B11">Coelho et al., 2018</xref>; <xref ref-type="bibr" rid="B50">Macedo et al., 2020</xref>). In addition, this study can provide useful information to target HPV-specific molecular pathways in human cancers.</p>
<p>In the present study, all patients were tested for HPV by nested-PCR followed by DNA sequencing. Using two highly sensitive methods we successfully detected HPV infection in 100% of men with PeCa, all of them with high-risk subtypes. Despite the high HPV prevalence in all human populations, occurring as hundreds of types, subtypes, and variants, many of them are not associated with cancer. On the other hand, it is well established the correlation between high-risk HPV and severe dysplasia, <italic>in situ</italic> and invasive cancer, usually as monoclonal lesions due to clonal selection from less advanced precursors (<xref ref-type="bibr" rid="B61">Pont&#xe9;n and Guo, 1998</xref>). This may explain why we were able to detect HPV in 100% of the primary tumor since all of them presented high-risk genotypes.</p>
<p>It is well established that p53 regulates the expression of both protein-coding genes and non-coding RNAs (<xref ref-type="bibr" rid="B28">Hermeking, 2012</xref>; <xref ref-type="bibr" rid="B20">Fischer, 2017</xref>). <italic>TP53</italic>-regulated miRNAs can mediate tumor suppression in response to cellular stress; similarly, the expression and activity of p53 can also be under the control of miRNAs (<xref ref-type="bibr" rid="B28">Hermeking, 2012</xref>). More than 20 miRNAs have been described to directly regulate p53 via canonical bindings (seed) in 3&#x2032;UTR (reviewed by <xref ref-type="bibr" rid="B45">Liu et al., 2017</xref>). Down regulation of <italic>TP53</italic> through seed sequences induce phenotypes that are consistent with loss of p53 function, such as reduced apoptosis, cellular senescence, increased invasion, and growth of tumor cells (<xref ref-type="bibr" rid="B28">Hermeking, 2012</xref>; <xref ref-type="bibr" rid="B15">Deng and Sui, 2013</xref>; <xref ref-type="bibr" rid="B29">Hermeking et al., 2014</xref>). Despite the increasing number of miRNAs that form the TP53 mRNA/miRNAs interaction network, there is no information on <italic>TP53</italic>-repressor miRNAs in HPV-associated PeCa. Our data revealed a total of 507 differentially expressed miRNA (miRDE) between the tumor and non-tumor tissue of HPV-infected PeCa patients, of which 494 were downregulated and 13 were upregulated. Among the 13 miRDE upregulated, five (let-7a-5p, miR-130a-3p, miR-15b-5p, miR-21-5p and miR-25-3p) were found overexpressed in 100% of the tumors analyzed. Moreover, miR-130a-3p, miR-15b-5p and miR-31-5p were predicted as novel regulator for <italic>TP53</italic> gene; while miR-142-3p, miR-200c-3p, miR-205-5p, miR-223-3p, miR-22-3p, miR-25-3p and miR-31-5p for <italic>RB1</italic>.</p>
<p>Several studies have shown up-regulated expression of these miRNAs in several types of tumors. Overexpression of let-7a-5p has been observed in HCV-related cirrhosis (<xref ref-type="bibr" rid="B58">Petkevich et al., 2021</xref>) and liver cancer and ovarian cancer, where it presents a non-invasive diagnostic potential (<xref ref-type="bibr" rid="B44">Liu et al., 2021</xref>). Corroborating our data, some studies have also suggested that <italic>TP53</italic> is a target of let-7a-5p (<xref ref-type="bibr" rid="B4">Balakrishnan et al., 2014</xref>; <xref ref-type="bibr" rid="B59">Pillai et al., 2014</xref>; <xref ref-type="bibr" rid="B53">Nunez Lopez et al., 2019</xref>; <xref ref-type="bibr" rid="B81">Zhou et al., 2019</xref>). MiR-130a-3p is recognized as a miRNA with tumor suppressor action (<xref ref-type="bibr" rid="B37">Kong et al., 2018</xref>; <xref ref-type="bibr" rid="B68">Song et al., 2021</xref>), that may act directly (<xref ref-type="bibr" rid="B8">Causin et al., 2021</xref>) or indirectly (<xref ref-type="bibr" rid="B31">Hu et al., 2021</xref>) in cancer progression. On the other hand, miR-15b-5p has generally been described to act on cell proliferation mechanisms, such as the ones involving the <italic>LATS2</italic> (<xref ref-type="bibr" rid="B46">Liu et al., 2020</xref>), <italic>BCL-2</italic> (<xref ref-type="bibr" rid="B79">Zhang et al., 2015</xref>)<italic>,</italic> and <italic>PTPN4</italic>/<italic>STAT3</italic> pathways (<xref ref-type="bibr" rid="B48">Liu et al., 2020</xref>).</p>
<p>Interestingly, down-regulation of <italic>TP53</italic> by miR-25 resulted in a decrease in apoptosis in HCT116 colon cancer cells, A549 cells, NSCLC, and multiple myeloma cells (<xref ref-type="bibr" rid="B41">Kumar et al., 2011</xref>). In lung cancer, miR-25 was observed to promote cell proliferation and also inhibit apoptosis by down-regulating the expression of the <italic>MOAP1</italic>/<italic>TP53</italic> axis genes (<xref ref-type="bibr" rid="B77">Wu et al., 2015</xref>). Moreover, recent evidence shows that miR-25-3p may also act with LncRNAs on a <italic>LINC00858</italic>/miR-25/<italic>SMAD7</italic> axis modulating <italic>TP53</italic>-wild expression in colorectal carcinoma (<xref ref-type="bibr" rid="B78">Zhan et al., 2020</xref>). (<xref ref-type="bibr" rid="B73">Wang et al., 2021</xref>) also observed that exosomal miR-25-3p induced cell proliferation and resistance to temozolomide in glioblastoma through down-regulation of <italic>FBXW7</italic>, promoting c-Myc and cyclin E expression. MiR-21-5p, also observed up-regulated in this study, was shown by (<xref ref-type="bibr" rid="B33">Huang et al., 2021</xref>) to negatively regulate the tumor suppressor <italic>PDCD4</italic> and cause resistance to by Osimertinib by interfering with MEK/ERK signaling.</p>
<p>These results are in concordance with the suppressive effect of these miRNAs in the HPV-related genes observed in PeCa in the present study. Our computational analysis revealed that <italic>TP53</italic> and <italic>RB1</italic> have 131 and 490 target sites for the 13 upregulated miRNAs, respectively. The highest number of miRNA binding sites were identified in coding regions, and not in UTR regions, as reported by (<xref ref-type="bibr" rid="B24">Hafner et al., 2010</xref>) Furthermore, 98.5 and 97.3% of the sites in <italic>TP53</italic> and <italic>RB1</italic>, respectively, are in non-canonical seedless regions, presenting high levels of complementarity and conservation. Although most miRNA targets have sites that are perfectly complementary to the seed region, it has been shown that miRNAs can directly interact with seedless binding sequences, even improving their function (<xref ref-type="bibr" rid="B66">Shin et al., 2010</xref>). (<xref ref-type="bibr" rid="B42">Lal et al., 2009</xref>) for example, presented evidence of cell proliferation control by miR-24 in the <italic>E2F2</italic>/<italic>MYC</italic> axis through seedless binding in the 3&#x2032;UTR region. (<xref ref-type="bibr" rid="B55">Park et al., 2017</xref>). also showed that destabilization of miRNAs targets is dramatically increased when binding occurs in non-canonical seedless regions. Therefore, we propose that the 13 miRNAs overexpressed in PeCa directly repress <italic>TP53</italic> and <italic>RB1</italic> by silencing their messenger RNA at different binding sites, especially in non-canonical seedless regions.</p>
<p>Although a unique miRNA may have a pivotal role in a particular pathway, most miRNAs act targeting multiple mRNAs, affecting the same or several gene pathways. Considering the 13 upregulated miRNAs, we predicted six main pathways by the enrichment analysis. Viral carcinogenesis (hsa05203), in which <italic>TP53</italic> and <italic>RB1</italic> act, was the main pathway affected (<italic>p</italic> &#x3c; 1.00 &#xd7; 10-325). MiR-205-5p, miR-16-5p, miR-22-3p, miR-93-5p, let-7a-5p, and miR-130a-3p were involved in most of the pathways affected. Glioma and cell cycle pathways, in addition to viral carcinogenesis, were previously shown to be regulated by other miRNAs identified in cytobands affected by CNVs in the same population from Maranh&#xe3;o State (<xref ref-type="bibr" rid="B67">Silva et al., 2021</xref>). Thus, these current findings reinforce the involvement of these pathways in HPV-associated penile tumorigenesis.</p>
<p>It is worth highlighting that 84.6% of miRDE were observed to be located in HPV integration sites (HPV-IS), including the five miRDE overexpressed in 100% of cases (sites at 3q25.33, 7q22.1, 9q22.32, 11q12.1, and 17q23.1). Several viruses mediate tumorigenesis by expressing viral oncogenes or activating host oncogenes through the integration of viral DNA into the human genome (<xref ref-type="bibr" rid="B43">Lee and Dutta, 2009</xref>; <xref ref-type="bibr" rid="B71">Tuna and Amos, 2017</xref>). We have recently shown that chromosomal regions with gene copy number alterations (CNA) are present in HPV-IS, such as 2p12-p11.2 and 14q32.33 (observed in 100% of PeCa patients), which can also affect the expression of miRNAs located in these regions (<xref ref-type="bibr" rid="B50">Macedo et al., 2020</xref>; <xref ref-type="bibr" rid="B67">Silva et al., 2021</xref>). These regions were also described in other HPV-associated tumors (<xref ref-type="bibr" rid="B76">Wentzensen et al., 2004</xref>; <xref ref-type="bibr" rid="B40">Kumar Gupta and Kumar, 2015</xref>; <xref ref-type="bibr" rid="B30">Holmes et al., 2016</xref>; <xref ref-type="bibr" rid="B47">Liu et al., 2016</xref>). This data shows the close connection of CNAs and miRNA deregulation located in HPV-IS. Altogether, our present data, support that miRNAs located in HPV-IS can directly repress genes related to HPV infection, such as <italic>TP53</italic> and <italic>RB1</italic>, highlighting HPV insertion as one of the factors that trigger epigenetic mechanisms.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In this study, we suggest that the HPV-related genes, <italic>TP53</italic> and <italic>RB1</italic>, are directly down-regulated by 13 miRNAs located in high-risk HPV integration sites, notably for the HPV16 subtype, present in 72% of the PeCa patients studied. Considering that the expression and activity of <italic>TP53</italic> and <italic>RB1</italic> can be under the control of miRNAs, our findings provide a new understanding of the role of high-risk HPV infection in penile tumorigenesis through an epigenetic mechanism.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/geo/">https://www.ncbi.nlm.nih.gov/geo/</ext-link>, GSE197121.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Research Ethics Committee on Humans from the Federal University of Maranh&#xe3;o and by the National Research Ethics Commission (CONEP-Brazil, CAAE: 46371515.5.0000.5087). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>Conceptualization, SP and JS; Methodology, SP, JS, RR, AL, LS, and CC; Formal Analysis, SP, AK, IF, and JS; Investigation, JS and SP; Resources, SP and AK; Writing&#x2014;Original Draft Preparation, SP and JS; Writing&#x2014;Review and Editing, SP and LC; Visualization, LC and AK; Supervision, SP; Project Administration, SP; Funding Acquisition, SP and AK.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This research was funded by Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa e ao Desenvolvimento Cient&#xed;fico e Tecnol&#xf3;gico do Maranh&#xe3;o (FAPEMA)&#x2014;Grant number IECT-05551/18 and Uniscience&#x2014;nanoString miRNA Grant for SP, and by Comiss&#xe3;o de Aperfei&#xe7;oamento de Pessoal do N&#xed;vel Superior (CAPES; code 001) and for providing scholarship for JS. &#x201c;The APC was funded by PROPESP-FEDERAL UNIVERSITY OF PAR&#xc1;&#x201d;.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fgene.2022.875939/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgene.2022.875939/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.PDF" id="SM1" mimetype="application/PDF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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