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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">OR</journal-id>
<journal-title-group>
<journal-title>Oncology Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1021-335X</issn>
<issn pub-type="epub">1791-2431</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/or.2016.4583</article-id>
<article-id pub-id-type="publisher-id">or-35-04-2297</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Methylation and expression of miRNAs in precancerous lesions and cervical cancer with HPV16 infection</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>JIM&#x000C9;NEZ-WENCES</surname><given-names>HILDA</given-names></name><xref rid="af1-or-35-04-2297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>MART&#x000CD;NEZ-CARRILLO</surname><given-names>DINORAH NASHELY</given-names></name><xref rid="af1-or-35-04-2297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>PERALTA-ZARAGOZA</surname><given-names>OSCAR</given-names></name><xref rid="af4-or-35-04-2297" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>CAMPOS-VIGURI</surname><given-names>GABRIELA ELIZABETH</given-names></name><xref rid="af1-or-35-04-2297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>HERN&#x000C1;NDEZ-SOTELO</surname><given-names>DANIEL</given-names></name><xref rid="af2-or-35-04-2297" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>JIM&#x000C9;NEZ-L&#x000D3;PEZ</surname><given-names>MARCO ANTONIO</given-names></name><xref rid="af5-or-35-04-2297" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>MU&#x000D1;OZ-CAMACHO</surname><given-names>JOS&#x000C9; GUADALUPE</given-names></name><xref rid="af5-or-35-04-2297" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>GARZ&#x000D3;N-BARRIENTOS</surname><given-names>V&#x000CD;CTOR HUGO</given-names></name><xref rid="af5-or-35-04-2297" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>ILLADES-AGUIAR</surname><given-names>BERENICE</given-names></name><xref rid="af3-or-35-04-2297" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>FERN&#x000C1;NDEZ-TILAPA</surname><given-names>GLORIA</given-names></name><xref rid="af1-or-35-04-2297" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-or-35-04-2297"/></contrib></contrib-group>
<aff id="af1-or-35-04-2297">
<label>1</label>Clinical Research Laboratory, Guerrero Autonomous University, Chilpancingo, Guerrero 39089, M&#x000E9;xico</aff>
<aff id="af2-or-35-04-2297">
<label>2</label>Virology and Cancer Epigenetics Laboratory, Guerrero Autonomous University, Chilpancingo, Guerrero 39089, M&#x000E9;xico</aff>
<aff id="af3-or-35-04-2297">
<label>3</label>Molecular Biomedicine Laboratory, Academic Unit of Biological Chemical Sciences, Guerrero Autonomous University, Chilpancingo, Guerrero 39089, M&#x000E9;xico</aff>
<aff id="af4-or-35-04-2297">
<label>4</label>Direction of Chronic Infections and Cancer, Research Center for Infectious Diseases, National Institute of Public Health, Cuernavaca, Morelos 62100, M&#x000E9;xico</aff>
<aff id="af5-or-35-04-2297">
<label>5</label>Guerrero State Cancer Institute 'Dr Arturo Beltr&#x000E1;n Ortega', Acapulco de Ju&#x000E1;rez, Guerrero 39570, M&#x000E9;xico</aff>
<author-notes>
<corresp id="c1-or-35-04-2297">Correspondence to: Dr Gloria Fern&#x000E1;ndez-Tilapa, Clinical Research Laboratory, Academic Unit of Biological Chemical Sciences, Guerrero Autonomous University, Av. L&#x000E1;zaro C&#x000E1;rdenas S/N, Colonia Haciendita, Chilpancingo, Guerrero 39089, M&#x000E9;xico, E-mail: <email>gferti@hotmail.com</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>04</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>21</day>
<month>01</month>
<year>2016</year></pub-date>
<volume>35</volume>
<issue>4</issue>
<fpage>2297</fpage>
<lpage>2305</lpage>
<history>
<date date-type="received">
<day>29</day>
<month>10</month>
<year>2015</year></date>
<date date-type="accepted">
<day>08</day>
<month>12</month>
<year>2015</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016, Spandidos Publications</copyright-statement>
<copyright-year>2016</copyright-year></permissions>
<abstract>
<p>Abnormal expression and promoter methylation of microRNAs (miRNAs) are common events during cervical carcinogenesis. Worldwide, infection by types 18 and 16 of human papillomaviruses (HPVs) is considered the major risk factor for cervical cancer development. It has been reported that expression of the miRNAs can be deregulated by specific HPV genotypes. In this study we analyzed the promoter methylation of 22 miRNAs and the expression of three miRNAs in 10 non-squamous intraepithelial lesions (Non-SIL) without HPV16 infection, and 7 Non-SIL, 16 low-grade SIL (LSIL) and 16 cervical cancer samples, all with HPV16 infection. The methylation status was determined using Human Cancer miRNA EpiTect Methyl II Signature PCR Array<sup>&#x000AE;</sup> and the expression of miR-124, miR-218 and miR-193b was determined by qRT-PCR using individual TaqMan assays. Comparisons of groups defined were performed using the Fisher exact test for categorical variables and Mann-Whitney test for continuous variables. A p-value of &lt;0.05 was considered statistically significant. The methylation levels of miR-124-2, miR-218-1, miR-218-2 and miR-34b/c promoters were significantly higher in cervical cancer than in LSIL samples. The methylation levels of miR-193b promoter were significantly lower in cervical cancer than in LSIL samples. The expression of miR-124 and miR-218 was significantly lower in cervical cancer than in LSIL samples. The expression of miR-193b was significantly higher in cervical cancer than in LSIL and Non-SIL samples. Our results suggest that the abnormal promoter methylation and expression of miR-124, miR-218 and miR-193b are common events during cervical carcinogenesis.</p></abstract>
<kwd-group>
<kwd>miRNAs</kwd>
<kwd>methylation</kwd>
<kwd>expression</kwd>
<kwd>cervical cancer</kwd>
<kwd>human papillomavirus 16</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Cervical cancer is the second most common neoplasia in women worldwide (<xref rid="b1-or-35-04-2297" ref-type="bibr">1</xref>). Persistent infection with high-risk human papillomavirus (HR-HPV) is associated with origin and development of this cancer (<xref rid="b2-or-35-04-2297" ref-type="bibr">2</xref>,<xref rid="b3-or-35-04-2297" ref-type="bibr">3</xref>). Cervical cancer is characterized by the progression of squamous intraepithelial lesions (SIL) of the cervix. Based on their cytopathological characteristics, these lesions are divided into low-grade SIL (LSIL), high-grade SIL (HSIL), and invasive cervical cancer (<xref rid="b4-or-35-04-2297" ref-type="bibr">4</xref>). HPV16 is the most prevalent HPV genotype found in invasive cervical cancer worldwide (<xref rid="b5-or-35-04-2297" ref-type="bibr">5</xref>), and in M&#x000E9;xico, it is the most frequent genotype found in cervical cancer (<xref rid="b6-or-35-04-2297" ref-type="bibr">6</xref>), LSIL and HSIL (<xref rid="b7-or-35-04-2297" ref-type="bibr">7</xref>).</p>
<p>The microRNAs (miRNAs) are non-coding RNAs approximately 23 nucleotides long that regulate expression of protein-coding genes via base pairing to the 3&#x02032; untranslated region and subsequent induction of degradation, destabilization or translation inhibition of their target mRNAs (<xref rid="b8-or-35-04-2297" ref-type="bibr">8</xref>). It has been found that miRNAs regulate the expression of several oncogenes and tumor suppressor genes and their dysregulation is a common feature of human cancers including cervical cancer (<xref rid="b9-or-35-04-2297" ref-type="bibr">9</xref>,<xref rid="b10-or-35-04-2297" ref-type="bibr">10</xref>). Epigenetic alterations such as aberrant DNA methylation and histone modifications appear to be a major mechanism by which the normal patterns of miRNA expression are disrupted in cancer (<xref rid="b10-or-35-04-2297" ref-type="bibr">10</xref>,<xref rid="b11-or-35-04-2297" ref-type="bibr">11</xref>). Abnormal promoter methylation of miR-124 family genes has been reported in colorectal, breast, lung, liver, renal cancer, and non-Hodgkin's lymphoma (<xref rid="b11-or-35-04-2297" ref-type="bibr">11</xref>&#x02013;<xref rid="b13-or-35-04-2297" ref-type="bibr">13</xref>), miR-218 in prostate cancer and oral squamous cell carcinoma (<xref rid="b14-or-35-04-2297" ref-type="bibr">14</xref>,<xref rid="b15-or-35-04-2297" ref-type="bibr">15</xref>), miR-193b in prostate and breast cancer (<xref rid="b15-or-35-04-2297" ref-type="bibr">15</xref>,<xref rid="b16-or-35-04-2297" ref-type="bibr">16</xref>), Similarly, promoter hypermethylation of miR-34 family genes has been found in lung, gastric, breast, and esophageal cancer (<xref rid="b17-or-35-04-2297" ref-type="bibr">17</xref>&#x02013;<xref rid="b19-or-35-04-2297" ref-type="bibr">19</xref>).</p>
<p>Few studies have analyzed the methylation of miRNAs in cervical cancer. The methylation of miR-124 family genes has been detected in cervical cancer cell lines SiHa, CaSki and HeLa, as well as in HPV16 and HPV18 immortalized keratinocytes (<xref rid="b20-or-35-04-2297" ref-type="bibr">20</xref>). The methylation levels of miR-149, miR-203, miR-375 (<xref rid="b21-or-35-04-2297" ref-type="bibr">21</xref>), miR-124a, miR-34b and miR-203 (<xref rid="b22-or-35-04-2297" ref-type="bibr">22</xref>) were found to be significantly higher in cervical tumor than in normal tissue. It was also recently found that miRNAs can be regulated specifically by HpV16 or HpV18 in an <italic>in vitro</italic> model system. Elevated expression of miR-16, miR-25, miR-92a, and miR-378, and the decreased expression of miR-22, miR-27a, miR-29a, and miR-100 could be attributed to viral oncoproteins E6 or E7 of HPV16 and HPV18 (<xref rid="b23-or-35-04-2297" ref-type="bibr">23</xref>). In summary, the expression of miRNAs can be regulated specifically by HpV16 or HpV18, however, it is necessary to clarify the mechanism used by these viruses to modulate the expression of specific miRNAs. The abnormal methylation of promoters of miRNA may be involved in the reduction of the expression or its silencing. The objective of this study was to evaluate the methylation of 22 miRNA genes and to determine the level of expression of the differentially methylated miRNAs in cervical tissue of non-squamous intraepithelial lesion (Non-SIL) without HPV16 infection, with precursor lesion and cervical cancers, all with HPV16 infection, with the purpose of verifying the relationship between the methylation status with the level of expression. In this study, the abnormal promoter methylation and the expression of miRNAs were common events during cervical carcinogenesis.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Sample collection</title>
<p>We collected cervical smears or cervical biopsies from 146 patients that attended the Guerrero State Cancer Institute, located in Southwestern Southern Mexico between 2012 and 2013. The analysis of miRNA methylation was done only in HPV16-positive samples and in Non-SIL samples without HPV infection: The population consisted of 49 cervical samples; 10 Non-SIL without HPV16 infection, and 7 Non-SIL, 16 LSIL and 16 with cervical cancers, all with HPV16 infection. Exo-endocervical exfoliated cell samples were collected by sampling the ectocervix with an Ayre spatula and endocervix with a cytobrush. Smears were used for cytomorphological examination through conventional Papanicolaou staining. Samples were analyzed by a local, experienced cytopathologist and were classified according to the Bethesda system (<xref rid="b24-or-35-04-2297" ref-type="bibr">24</xref>). Women whose cytological diagnosis was Non-SIL a biopsy was not taken. For women diagnosed with LSIL or cervical cancer, a biopsy was obtained for histopathological confirmation of the diagnosis. Two different pathologists performed the diagnosis using the International Federation of Gynecology and obstetrics (FIGO) classification system (<xref rid="b4-or-35-04-2297" ref-type="bibr">4</xref>). All patients signed an informed consent and completed a questionnaire containing demographic and gynecological risk factor data. The study was approved by the Bioethics and Research Committee of the Guerrero State Cancer Institute, and was performed in accordance with the ethical guidelines of the 2008 Helsinki Declaration.</p></sec>
<sec>
<title>HPV detection and genotyping</title>
<p>Genomic DNA was extracted from cervical scrapes or biopsies by the phenol chloroform method (<xref rid="b25-or-35-04-2297" ref-type="bibr">25</xref>). DNA samples were stored at &#x02212;20&#x000B0;C until used. The concentration and purity of the DNA were evaluated using a NanoDrop 2000c UV-Vis spectrophotometer (Thermo Scientific, Wilmington, de, USA). Detection and typing of HPV was performed using INNO-LiPA Genotyping Extra kit (Innogenetics, Barcelona, Spain) according to the manufacturer's instructions. Briefly, the DNA samples were subjected to PCR amplification (40 cycles). The PCR products were then denatured, and 10 <italic>&#x003BC;</italic>l of each sample were hybridized onto nitrocellulose strips where the HPV type-specific oligonucleotides were already bound. After 60 min incubation at 49&#x000B0;C, the PCR product bound to a specific probe was detected by an alkaline phosphatase-streptavidin conjugate. The INNO-LiPA test allows identification of 13 established HR-HPV types (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, and 66), 5 putative HR-HPV types (26, 53, 68, 73, and 82), 7 low-risk HPV types (6, 11, 40, 43, 44, 54, and 70), and 2 types with undefined risk (74 and 69/71).</p></sec>
<sec>
<title>DNA methylation analysis</title>
<p>DNA methylation levels were evaluated using the Human Cancer miRNA EpiTect Methyl II Signature PCR Array (Qiagen, Germantown, MD, USA) following the manufacturer's protocol. This assay is based on the digestion of unmethylated and methylated DNA, using methylation-sensitive and methylation-dependent restriction enzymes. The remaining DNA after digestion is added to the array and ABI 7500 Real-Time PCR (Applied Biosystems, Foster City, CA, USA) instrument was used to read the plates. The relative amount of methylated and unmethylated DNA was calculated using a standard &#x00394;Ct method, normalizing the amount of DNA in each digestion against the total amount of input DNA in the mock digest, using the manufacturer supplied Excel macro-spreadsheet.</p></sec>
<sec>
<title>Total RNA isolation and expression levels of miR-124, miR-218 and miR-193b</title>
<p>Total RNA was extracted using TRIzol (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's instructions. The concentration and purity of RNA were evaluated using a NanoDrop 2000c UV-Vis spectrophotometer (Thermo Scientific). The reverse transcription was carried out using 10 ng of total RNA. Expression of miR-124 (001182), miR-218 (000521) and miR-193b (002367) was measured using TaqMan microRNA assays following the manufacturer's instructions (Applied Biosystems) in an Applied Biosystems 7500 Real-Time PCR system. Expression of miR-92a (000431) was used as an internal reference for miR-124, miR-218 and miR-193b expression. The relative expression of both miRNAs was analyzed by comparative Ct method (<xref rid="b26-or-35-04-2297" ref-type="bibr">26</xref>).</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using the STATA 10.0 software package (Stata Corporation, College Station, TX, USA). Comparisons of groups defined were performed using the Fisher's exact test for categorical variables and Mann-Whitney test for continuous variables. A p-value of &lt;0.05 was considered statistically significant.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<p>The methylation state of 22 genes of miRNAs, was evaluated in 49 cervical samples from women with and without HPV16 infection. Among the 10 women Non-SIL and HPV-negative, the average age was 32.2 years (range 24&#x02013;42 years) and the seven women Non-SIL and HPV16-positive the age average was 29.9 years (range 22&#x02013;57 years). All patients with LSIL and with cervical cancer were infected with HPV16; in the LSIL group the mean age was 29.9 years (range 19&#x02013;43 years) and in the cancer group 52.8 years (range 38&#x02013;86 years). Of the women with cervical cancer, 18.7% had stage 0 (carcinoma <italic>in situ</italic>), 6.3% were stage IB, 6.3% were stage IIA, 56.3% were stage IIB, 6.3% were stage IIIB and the 6.3 were stage IVA.</p>
<p>The methylation status of 22 promoters of miRNA gene was evaluated using the Human Cancer miRNA EpiTect Methyl II Signature PCR Array. Methylation of CpG islands near the initiation site of the transcription of every primary miRNA (pri-miRNA) was determined. The arrangement includes miRNAs involved in the development of cervical cancer and other types of cancer. These miRNAs have as target messenger RNAs (mRNAs) involved in the transcriptional regulation, cell proliferation and apoptosis. The promoters of these miRNAs have CpG islands or CpG sites making them susceptible to epigenetic regulation by methylation.</p>
<p>The heat map diagram shows the hierarchical clustering of genes of miRNAs of all the samples and compares the methylation levels of the 22 genes of miRNAs in different groups (<xref rid="f1-or-35-04-2297" ref-type="fig">Fig. 1</xref>). Differences in the methylation profile of 22 miRNAs in each study group were found and this difference was more evident in cervical cancer compared with the groups Non-SIL and LSIL. The frequency of miRNAs methylated is shown in <xref rid="tI-or-35-04-2297" ref-type="table">Table I</xref>. The percentage of samples with methylation in miR-124-2, miR-193b, miR-218-1, miR-218-2 and miR-34b/c was significantly different between groups. The promoters of miR-124-2, miR-218-1, miR-218-2 and miR-34b/c were most frequently found methylated in cervical cancer. In cervical cancer, 68.8% of cases had methylation in 1&#x02013;2 of these genes and 25% had 3&#x02013;4 methylated miRNAs (p=0.004). The number of methylated genes increases with the degree of lesion (<xref rid="tII-or-35-04-2297" ref-type="table">Table II</xref>). Moreover, the promoter of miR-193b is frequently found in cervical cancer demethylated and frequently methylated in women Non-SIL and HPV-negative infection (p=0.001).</p>
<p>Based upon these results we analyzed the methylation levels of 5 miRNAs in the four groups (<xref rid="f2-or-35-04-2297" ref-type="fig">Fig. 2</xref>). We found that the methylation levels of miR-124-2, miR-218-1 and miR-34b/c were significantly higher in cervical cancer than in LSIL samples (p=0.002, p&lt;0.001 and p=0.046, respectively). Higher levels of methylation of miR-218-2 were found in cervical cancer than in LSIL, however, the difference was not significant (p=0.071). The methylation level of miR-193b was significantly lower in cervical cancer than in LSIL (p=0.006) and Non-SIL samples without HPV16 infection (p=0.007).</p>
<p>Finally, we evaluated the expression of miR-124, miR-218 and miR-193b in the three sample groups. The expression of miR-124 was significantly lower in cervical cancer than in LSIL samples (p=0.042) and Non-SIL (p=0.020). The expression of miR-218 was significantly lower in cervical cancer than in LSIL samples (p=0.001). The expression levels of miR-193b increased according to the degree of the lesion and was significantly higher in cervical cancer than in LSIL (p=0.004) Non-SIL without HPV16 infection (p=0.002) and Non-SIL with HPV16 (p=0.013) (<xref rid="f3-or-35-04-2297" ref-type="fig">Fig. 3</xref>). The level of methylation had a negative correlation with the expression level of miR-124-2, miR-218-1, miR-218-2 and miR-193b, however, there is no significant difference (p=0.966, p=0.083, p=0.138 and 0.099, respectively) (<xref rid="f4-or-35-04-2297" ref-type="fig">Fig. 4</xref>).</p></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>In this study, we analyzed the promoter methylation status of 22 miRNAs. We limited the analysis to HPV16 positive samples, because it is the most frequent HPV genotype detected in precursor lesions and cervical cancer in M&#x000E9;xico (<xref rid="b6-or-35-04-2297" ref-type="bibr">6</xref>,<xref rid="b7-or-35-04-2297" ref-type="bibr">7</xref>). We found that methylation of miR-124-2, miR-218-1, miR-218-2, miR-34c/b and the demethylation of miR-193b is an event common in women with cervical cancer compared to women with Non-SIL and LSIL.</p>
<p>The miR-124-2 gene was found methylated in 81.3% of the cervical cancer samples and the methylation level was significantly higher in this group (methylation levels averaged 50.4%), than in women with Non-SIL or LSIL. Interestingly, the expression of miR-124-2 was lower in cancer than in LSIL (p=0.042). In agreement with these data, we also found that the expression of miR-124 was significantly lower in cervical cancer than in LSIL samples. The frequency of methylation of miR-124-2 found in this study is higher than those reported in other types of cancer, 50&#x02013;60% of the cases (<xref rid="b12-or-35-04-2297" ref-type="bibr">12</xref>,<xref rid="b28-or-35-04-2297" ref-type="bibr">28</xref>,<xref rid="b29-or-35-04-2297" ref-type="bibr">29</xref>). Only in colon cancer, miR-124-2 was methylated in 96.6% of the cases (<xref rid="b30-or-35-04-2297" ref-type="bibr">30</xref>). The methylation of this miRNA in cervical cancer cell lines SiHa, CaSki, HeLa, cervical adenocarcinoma and cell squamous carcinoma has been previously reported by Wilting <italic>et al</italic> (<xref rid="b20-or-35-04-2297" ref-type="bibr">20</xref>), who found the methylation of miR-124-2 in 82.8% of the cervical cancer cases, consistent with our results. The high frequency and level of promoter methylation of miR-124-2 as well as low or null expression of miR-124 is found in samples of cervical cancer and cell lines compared with Non-SIL and LSIL cases, suggests that methylation of miR-214-2 occurs in late stage of cervical carcinogenesis and that miR-124 may possess tumor suppressive function in this cancer type. The function of miR-124 as tumor suppressor in cervical cancer is supported because ectopic expression of miR-124 significantly decreased the proliferation rate in SiHa and CaSki cells, and decreased the migratory potential in SiHa cells (<xref rid="b20-or-35-04-2297" ref-type="bibr">20</xref>). The function of miR-124 as tumor suppressor in cervical cancer could be partially explained by its effect on the regulation of the expression of IGFBp-7 mRNA (insulin-like growth factor-binding protein 7), which has been identified as a potential target of miR-124 in cervical cancer (<xref rid="b20-or-35-04-2297" ref-type="bibr">20</xref>) and that IGFBp-7 influences the persistence of HR-HPV infection (<xref rid="b27-or-35-04-2297" ref-type="bibr">27</xref>).</p>
<p>miR-34b/c was found methylated in 50% of the cervical cancer samples and the methylation level was significantly higher in these patients (average methylation level of 32.7%) than in LSIL. The frequency of samples with methylation in the promoter of miR-34b/c are higher than those reported in other cancers with a frequency between 8&#x02013;35%, similar to those found in lung and breast cancer (54 and 69%, respectively) (<xref rid="b31-or-35-04-2297" ref-type="bibr">31</xref>). In primary colorectal tumors the methylation of miR-34b/c was found in 90% of cases (<xref rid="b32-or-35-04-2297" ref-type="bibr">32</xref>). It is possible that the promoter methylation of miR-34b/c in cervical cancer is related to the stage of the disease since, women with cervical cancer methylation in miR-34b/c gene, 12.5% had stage 0, 25% had stage IIB, 6.25% had stage IIIB and 6.25% had stage IVA. The low expression of miR-34b/c in cancer has been associated with metastatic processes and with a more aggressive course of the disease (<xref rid="b23-or-35-04-2297" ref-type="bibr">23</xref>). A larger scale study is necessary including includes all the stages of cancer in order to investigate the role of methylation of miR-34b/c in carcinogenesis.</p>
<p>miR-218-1 was found methylated in 43.8% of the cervical cancer samples and demethylated in all Non-SIL and LSIL cases. Methylation level was significantly higher in patients with cervical cancer (with average level of 32.9% of meth-ylation). The expression levels of miR-218 were significantly lower in cancer compared with LSIL (p=0.001). In previous studies, it was demonstrated that the expression of miR-218 is decreased in several types of cancer and is associated with malignant phenotypes. In thyroid cancer and cervical cancer cells miR-218 has been characterized as a tumor suppressor miRNA, which is known to inhibit proliferation, invasion and migration (<xref rid="b33-or-35-04-2297" ref-type="bibr">33</xref>,<xref rid="b34-or-35-04-2297" ref-type="bibr">34</xref>). In cervical cancer, Martinez <italic>et al</italic> (<xref rid="b35-or-35-04-2297" ref-type="bibr">35</xref>) reported that E6 oncoprotein of HPV16 reduces the expression of miR-218 and that LAMB3 is a target of miR-218 in cervical cancer cells. Other studies agree that HR-HPV is related to the decrease of the expression of miR-218 (<xref rid="b36-or-35-04-2297" ref-type="bibr">36</xref>). The regulation of the expression of miR-218 by methylation is poorly understood, however, it has been observed that treatment with 5&#x02032;-Aza-CdR induces overexpression of miR-218 (<xref rid="b31-or-35-04-2297" ref-type="bibr">31</xref>). To our knowledge, the methylation of miR-218-1 has not been reported in tissues of cervical cancer and our results suggest that, in addition to HR-HPV infection, the alteration in the methylation of miR-218-1 can contribute to the diminution or silencing of miR-218 in cervical cancer.</p>
<p>The methylation of miR-218-2 was infrequent in Non-SIL cases, we found demethylation in LSIL and methylation of 42.9% in the samples with cervical cancer. The correlation between the methylation levels of miR-218-1 and 218-2 was statistically significant (r=0.368, p=0.011) (data not shown). miR-218-1 and miR-218-2 encode the same mature form and the decrease in expression of miR-218 is associated with malignant phenotypes of cancer. It is probable that women with cervical cancer and methylation in the promoter region of miR-218-1 and miR-218-2 have a poor prognosis.</p>
<p>miR-193b was found methylated in 7.1% of women with cancer, compared with 33.3 to 80% of women with Non-SIL or LSIL. We found that the methylation level of miR-193b was significantly lower in cervical cancer (&lt;15%) than in LSIL and Non-SIL samples, while its expression was significantly higher in cervical cancer than in LSIL (p=0.004). To our knowledge, the methylation of miR-193b has not been reported in tissues of cervical cancer and few studies have evaluated the expression level of miR-193b in cervical precancerous lesions and cervical cancer (<xref rid="b35-or-35-04-2297" ref-type="bibr">35</xref>,<xref rid="b37-or-35-04-2297" ref-type="bibr">37</xref>,<xref rid="b38-or-35-04-2297" ref-type="bibr">38</xref>). It has been proposed that miR-193b is epigenetically regulated in metastatic cell lines from skin (IGR37) and head and neck (SIHN-011B) (<xref rid="b31-or-35-04-2297" ref-type="bibr">31</xref>), as well as in the prostate cancer cell line 22Rv1, and in clinical prostate tumors as compared to benign prostatic hyperplasia (<xref rid="b15-or-35-04-2297" ref-type="bibr">15</xref>). In addition to that the expression of this miRNA is restored after treatment with 5&#x02032;-Aza-CdR and has been identified as a tumor suppressor in cancers (<xref rid="b15-or-35-04-2297" ref-type="bibr">15</xref>,<xref rid="b31-or-35-04-2297" ref-type="bibr">31</xref>). However, the methylation state of miR-193b in cancer is controversial because it has been found methylated and unmethylated in cell lines of the same type of cancer. In six cell lines, of prostate cancer (22Rv1, VCAP, LNCaP, PC-3, EP156T and the PrEC cells) methylation was found in miR-193b, however, in two cell lines (DU145 and LAPC-4) this miRNA was found demethylated (<xref rid="b15-or-35-04-2297" ref-type="bibr">15</xref>), and overexpression of miR-193b in cancer is associated with a poor prognosis (<xref rid="b37-or-35-04-2297" ref-type="bibr">37</xref>&#x02013;<xref rid="b40-or-35-04-2297" ref-type="bibr">40</xref>), due to the activation of its target Smad3, which, promotes cell proliferation via the transforming growth factor &#x003B2; (TGF-&#x003B2;) (<xref rid="b38-or-35-04-2297" ref-type="bibr">38</xref>). In cell lines of cervical cancer with HPV16, miR-193b was found overexpressed in comparison with HPV-negative cell line and normal cervix (<xref rid="b35-or-35-04-2297" ref-type="bibr">35</xref>). In agreement with these observations, Cheung <italic>et al</italic> (<xref rid="b37-or-35-04-2297" ref-type="bibr">37</xref>) reported that miR-193b was downregulated in high grade cervical intraepithelial neoplasia (similar to HSIL) when compared to normal cervical epithelium. We found that, miR-193b is overexpressed in cervical cancer, suggesting that it may have oncogenic functions. Our results support the hypothesis that the expression of miR-193b is regulated by methylation and it is likely that in cervical cancer miR-193b acts as an oncogene and that the overexpression of this miRNA is related to a poor prognosis.</p>
<p>It was found that the number of methylated genes and methylation levels increases with the degree of lesion, which in cervical cancer it is probable that the altered methylation of miRNAs is associated with a poor prognosis. Collectively, our results suggest that the expression of miR-124-2, miR-218-1, miR-218-2, miR-34c/b and miR-193b is regulated by methylation in cervical cancer associated with HPV16 infection and that it is probable that the alteration in methylation and expression of these miRNAs contribute to the pathogenesis of the disease. The results of this investigation provide information on the state of methylation of miRNA genes in early stages of cancer and in cervical cancer supporting the role of methylation in carcinogenesis associated with HPV16 infection.</p></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>Our thanks to Natividad Sales Linares for making the molecular diagnosis of HPV. We also wish to thank Jacobo Z&#x000FA;&#x000F1;iga Castillo, for technical advice for methylation Array. The present study was financed by CONACYT&#x0201D;, Convocatoria 2012 de Ciencia B&#x000E1;sica, key, 183341 and Guerrero Autonomous University, Convocatoria 2013. During the development of the investigation Hilda Jim&#x000E9;nez Wences was a grant recipient of CONACYT.</p></ack>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term id="G1">HPVs</term>
<def>
<p>human papillomaviruses</p></def></def-item>
<def-item>
<term id="G2">miRNAs</term>
<def>
<p>microRNAs</p></def></def-item>
<def-item>
<term id="G3">SIL</term>
<def>
<p>squamous intraepithelial lesions</p></def></def-item>
<def-item>
<term id="G4">Non-SIL</term>
<def>
<p>Non-squamous intraepithelial lesions</p></def></def-item>
<def-item>
<term id="G5">LSIL</term>
<def>
<p>low-grade SIL</p></def></def-item>
<def-item>
<term id="G6">HSIL</term>
<def>
<p>high-grade SIL</p></def></def-item></def-list></glossary>
<ref-list>
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<floats-group>
<fig id="f1-or-35-04-2297" position="float">
<label>Figure 1</label>
<caption>
<p>Heat map diagram of the promoter methylation analysis of 22 miRNAs in cervical samples. The diagram shows the unsupervised hierarchical clustering of the 22 miRNAs according to their promoter methylation status. Each row represents a miRNA and each column represents a sample. The color scale shown at the bottom illustrates the relative methylation level of a miRNA: red, a high methylation level, and green, a low methylation level. Non-SIL, non-squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial lesion; CC, cervical cancer.</p></caption>
<graphic xlink:href="OR-35-04-2297-g00.tif"/></fig>
<fig id="f2-or-35-04-2297" position="float">
<label>Figure 2</label>
<caption>
<p>Methylation levels of five miRNAs in cervical samples. The methylation levels were determined in non-squamous intraepithelial lesions (Non-SIL, n=10), Non-SIL with HPV16 infection (n=7), low-grade squamous intraepithelial lesions with HPV16 infection (LSIL, n=16), and cervical cancer with HPV16 infection (CC, n=16). Average methylation level for each group is indicated as a horizontal line. P-value was calculated with Mann-Whitney test and is indicated when the differences are significant. <sup>&#x0002A;</sup>p&lt;0.05.</p></caption>
<graphic xlink:href="OR-35-04-2297-g01.tif"/></fig>
<fig id="f3-or-35-04-2297" position="float">
<label>Figure 3</label>
<caption>
<p>Expression of miR-124, miR-218 and mir-193b in cervical samples. The expression levels were determined in non-squamous intraepithelial lesions (Non-SIL), Non-SIL with HPV16 infection, low grade squamous intraepithelial lesions with HPV16 infection (LSIL), and cervical with HPV16 infection (CC). Average expression level per group is indicated as a horizontal line. P-value was calculated with Mann-Whitney test and is indicated when the differences are significant. <sup>&#x0002A;</sup>p&lt;0.05.</p></caption>
<graphic xlink:href="OR-35-04-2297-g02.tif"/></fig>
<fig id="f4-or-35-04-2297" position="float">
<label>Figure 4</label>
<caption>
<p>Pearson's correlation between expression and methylation in cervical samples. For miR-124: r=&#x02212;0.006, p=0.966, miR-218-1: r=&#x02212;0.306, p=0.083, miR-218-2: r=&#x02212;0.268, p=0.138 and miR-193b: r=&#x02212;0.318, p=0.099.</p></caption>
<graphic xlink:href="OR-35-04-2297-g03.tif"/></fig>
<table-wrap id="tI-or-35-04-2297" position="float">
<label>Table I</label>
<caption>
<p>Frequency the promoter methylation of 22 of the miRNA genes with oncogene or tumor suppressor functions in cervical samples.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Genes</th>
<th valign="top" align="center">Non-SIL HPV negative<break/>n=10 (%)</th>
<th valign="top" align="center">Non-SIL HPV16<break/>n=7 (%)</th>
<th valign="top" align="center">LSIL HPV16<break/>n=16 (%)</th>
<th valign="top" align="center">CC HPV16<break/>n=16 (%)</th>
<th valign="top" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">let-7g</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">85.7</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">0.347</td></tr>
<tr>
<td valign="top" align="left">let-7i</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">12.5</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.510</td></tr>
<tr>
<td valign="top" align="left">miR-10a</td>
<td valign="top" align="center">22.2</td>
<td valign="top" align="center">16.7</td>
<td valign="top" align="center">31.3</td>
<td valign="top" align="center">27.3</td>
<td valign="top" align="center">0.962</td></tr>
<tr>
<td valign="top" align="left">miR-1-1</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">42.9</td>
<td valign="top" align="center">46.2</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">0.193</td></tr>
<tr>
<td valign="top" align="left">miR-124-2</td>
<td valign="top" align="center">44.44</td>
<td valign="top" align="center">14.3</td>
<td valign="top" align="center">37.5</td>
<td valign="top" align="center">81.3</td>
<td valign="top" align="center"><bold>0.010</bold></td></tr>
<tr>
<td valign="top" align="left">miR-126</td>
<td valign="top" align="center">42.9</td>
<td valign="top" align="center">42.9</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">46.47</td>
<td valign="top" align="center">1.000</td></tr>
<tr>
<td valign="top" align="left">miR-149</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">7.14</td>
<td valign="top" align="center">1.000</td></tr>
<tr>
<td valign="top" align="left">miR-155</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">12.5</td>
<td valign="top" align="center">0.268</td></tr>
<tr>
<td valign="top" align="left">miR-15b, miR-16-2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6.25</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1.000</td></tr>
<tr>
<td valign="top" align="left">miR-17 cluster</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6.25</td>
<td valign="top" align="center">6.25</td>
<td valign="top" align="center">1.000</td></tr>
<tr>
<td valign="top" align="left">miR-191, miR-425</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6.67</td>
<td valign="top" align="center">0.175</td></tr>
<tr>
<td valign="top" align="left">miR-193b</td>
<td valign="top" align="center">57.1</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">7.1</td>
<td valign="top" align="center"><bold>0.001</bold></td></tr>
<tr>
<td valign="top" align="left">miR-210</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">28.6</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">0.085</td></tr>
<tr>
<td valign="top" align="left">miR-218-1</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6.3</td>
<td valign="top" align="center">43.8</td>
<td valign="top" align="center"><bold>0.021</bold></td></tr>
<tr>
<td valign="top" align="left">miR-218-2</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">14.3</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">42.9</td>
<td valign="top" align="center"><bold>0.016</bold></td></tr>
<tr>
<td valign="top" align="left">miR-23b, miR-24-1, miR-27b</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">85.7</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">93.8</td>
<td valign="top" align="center">0.306</td></tr>
<tr>
<td valign="top" align="left">miR-301a</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">8.3</td>
<td valign="top" align="center">8.3</td>
<td valign="top" align="center">0.074</td></tr>
<tr>
<td valign="top" align="left">miR-30c-1, miR-30e</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">14.3,</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6.67</td>
<td valign="top" align="center">0.429</td></tr>
<tr>
<td valign="top" align="left">miR-32</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">28.57</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">0.124</td></tr>
<tr>
<td valign="top" align="left">miR-34c, miR-34b</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">28.6</td>
<td valign="top" align="center">6.25</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center"><bold>0.033</bold></td></tr>
<tr>
<td valign="top" align="left">miR-32</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">0.124</td></tr>
<tr>
<td valign="top" align="left">miR-378</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">13.3</td>
<td valign="top" align="center">7.69</td>
<td valign="top" align="center">0.874</td></tr>
<tr>
<td valign="top" align="left">miR-7-1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6.3</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1.00</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-or-35-04-2297">
<p>Non-SIL, non-squamous intraepithelial lesion; LSIL, low grade squamous intraepithelial lesion; CC, cervical cancer; HPV, human papillomavirus. P-value was calculated with Fisher's exact test. Statistically significant differences are indicated in bold.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-or-35-04-2297" position="float">
<label>Table II</label>
<caption>
<p>Cervical samples with methylation at 1&#x02013;4 miRNAs (miR-124-2, miR-218-1, miR-218-2 and miR-34b/c), were found differentially methylated between the study groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Genes differentially methylated</th>
<th valign="top" align="center">Non-SIL HPV negative<break/>n=10 (%)</th>
<th valign="top" align="center">Non-SIL HPV16<break/>n=7 (%)</th>
<th valign="top" align="center">LSIL HPV16<break/>n=16 (%)</th>
<th valign="top" align="center">CC HPV16<break/>n=16 (%)</th>
<th valign="top" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">0</td>
<td valign="top" align="center">4 (40)</td>
<td valign="top" align="center">5 (71.4)</td>
<td valign="top" align="center">10 (62.5)</td>
<td valign="top" align="center">1 (6.2)</td>
<td valign="top" align="center"><bold>0.004</bold></td></tr>
<tr>
<td valign="top" align="left">1&#x02013;2</td>
<td valign="top" align="center">4 (40)</td>
<td valign="top" align="center">2 (28.6)</td>
<td valign="top" align="center">6 (37.5)</td>
<td valign="top" align="center"><bold>11 (68.8)</bold></td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">3&#x02013;4</td>
<td valign="top" align="center">2 (20)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"><bold>4 (25)</bold></td>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-or-35-04-2297">
<p>Non-SIL, non-squamous intraepithelial lesion; LSIL, low grade squamous intraepithelial lesion; CC, cervical cancer; HPV, human papillomavirus. P-value was calculated with Fisher's exact test. Statistically significant differences are indicated in bold.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
