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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2016.4668</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-4668</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Shift in prevalence of HPV types in cervical cytology specimens in the era of HPV vaccination</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>FISCHER</surname><given-names>SONJA</given-names></name>
<xref rid="af1-ol-0-0-4668" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>BETTSTETTER</surname><given-names>MARCUS</given-names></name>
<xref rid="af2-ol-0-0-4668" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>BECHER</surname><given-names>ANDREA</given-names></name>
<xref rid="af1-ol-0-0-4668" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>LESSEL</surname><given-names>MARLENE</given-names></name>
<xref rid="af1-ol-0-0-4668" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-4668" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>BANK</surname><given-names>CYRIL</given-names></name>
<xref rid="af1-ol-0-0-4668" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>KRAMS</surname><given-names>MATTHIAS</given-names></name>
<xref rid="af3-ol-0-0-4668" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>BECKER</surname><given-names>INGRID</given-names></name>
<xref rid="af3-ol-0-0-4668" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>HARTMANN</surname><given-names>ARNDT</given-names></name>
<xref rid="af4-ol-0-0-4668" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>JAGLA</surname><given-names>WOLFGANG</given-names></name>
<xref rid="af1-ol-0-0-4668" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>GAUMANN</surname><given-names>ANDREAS</given-names></name>
<xref rid="af1-ol-0-0-4668" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-4668" ref-type="aff">2</xref>
<xref rid="c1-ol-0-0-4668" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-4668"><label>1</label>Institute of Pathology Kaufbeuren-Ravensburg, D-87600 Kaufbeuren, Germany</aff>
<aff id="af2-ol-0-0-4668"><label>2</label>Part Shared Practice Molecular Pathology South Bavaria, D-81675 Munich, Germany</aff>
<aff id="af3-ol-0-0-4668"><label>3</label>Institute of Pathology Rosenheim, D-83022 Rosenheim, Germany</aff>
<aff id="af4-ol-0-0-4668"><label>4</label>Institute of Pathology Erlangen, D-91054 Erlangen, Germany</aff>
<author-notes>
<corresp id="c1-ol-0-0-4668"><italic>Correspondence to</italic>: Dr Andreas Gaumann, Institute of Pathology Kaufbeuren-Ravensburg, 6 Dr Gutermann Street, D-87600 Kaufbeuren, Germany, E-mail: <email>andreas.gaumann@pathologie-kaufbeuren.de</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>07</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>01</day>
<month>06</month>
<year>2016</year></pub-date>
<volume>12</volume>
<issue>1</issue>
<fpage>601</fpage>
<lpage>610</lpage>
<history>
<date date-type="received"><day>24</day><month>02</month><year>2015</year></date>
<date date-type="accepted"><day>22</day><month>12</month><year>2015</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2016, Spandidos Publications</copyright-statement>
<copyright-year>2016</copyright-year>
</permissions>
<abstract>
<p>The aim of the present population-based cohort study was to analyze the association between the prevalence of 32 types of human papilloma virus (HPV) in 615 female patients with abnormal cervical cytopathology findings. In total, 32 HPV types were screened by DNA array technology. HPV infection was detected in 470 women (76.42&#x0025;), 419 of whom (89.15&#x0025;) were infected with &#x2265;1 high-risk (HR)-HPV type. HPV16, which is recognized as the main HR-HPV type responsible for the development of cervical cancer, was observed in 32.98&#x0025; of HPV<sup>&#x002B;</sup> participants, followed by HPV42 (18.09&#x0025;), HPV31 (17.66&#x0025;), HPV51 (13.83&#x0025;), HPV56 (10.00&#x0025;), HPV53 (8.72&#x0025;) and HPV66 (8.72&#x0025;). The prevalence of HR-HPV types, which may be suppressed directly (in the case of HPV16 and 18), or possibly via cross-protection (in the case of HPV31) following vaccination, was considerably lower in participants &#x2264;22 years of age (HPV16, 28.57&#x0025;; HPV18, 2.04&#x0025;; HPV31, 6.12&#x0025;), compared with participants 23&#x2013;29 years of age (HPV16, 45.71&#x0025;; HPV18, 7.86&#x0025;; HPV31, 22.86&#x0025;), who were less likely to be vaccinated. Consequently, the present study hypothesizes that there may be a continuous shift in the prevalence of HPV types as a result of vaccination. Furthermore, the percentage of non-vaccine HR-HPV types was higher than expected, considering that eight HPV types formerly classified as &#x2018;low-risk&#x2019; or &#x2018;probably high-risk&#x2019; are in fact HR-HPV types. Therefore, it may be important to monitor non-vaccine HPV types in future studies, and an investigation concerning several HR-HPV types as risk factors for the development of cervical cancer is required.</p>
</abstract>
<kwd-group>
<kwd>human papilloma virus</kwd>
<kwd>cervical cancer</kwd>
<kwd>high-risk HPV</kwd>
<kwd>HPV16</kwd>
<kwd>squamous intraepithelial lesions</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Human papilloma viruses (HPVs) are small non-enveloped DNA viruses that belong to the papilloma virus family, and infect cutaneous and mucosal epithelia in humans (<xref rid="b1-ol-0-0-4668" ref-type="bibr">1</xref>). HPVs are extremely common worldwide, and consist of &#x003E;170 types (<xref rid="b2-ol-0-0-4668" ref-type="bibr">2</xref>). A persistent infection with certain mucosa-tropic types of HPV is recognized as the major factor in the etiology of cervical cancer (<xref rid="b3-ol-0-0-4668" ref-type="bibr">3</xref>&#x2013;<xref rid="b6-ol-0-0-4668" ref-type="bibr">6</xref>). According to the World Health Organization (WHO), cervical cancer is the second most common type of cancer in women, with ~530,000 newly diagnosed cases every year (<xref rid="b7-ol-0-0-4668" ref-type="bibr">7</xref>). The incidence of cervical cancer in Germany is one of the highest among Western countries, and it is currently the second cause of mortality among women &#x003E;50 years of age (<xref rid="b8-ol-0-0-4668" ref-type="bibr">8</xref>).</p>
<p>HPV is usually acquired via sexual transmission, and may induce the development of cervical cancer within several years following a persistent infection (<xref rid="b9-ol-0-0-4668" ref-type="bibr">9</xref>). The progress of cervical cancer is slow, commencing from cervical intraepithelial neoplasia (CIN) (<xref rid="b3-ol-0-0-4668" ref-type="bibr">3</xref>) and ending with invasive cancer. Precancerous lesions may be effectively detected by cervical screening using the Papanicolaou test (Pap smear). HPVs have been classified into high-risk types (HR-HPVs), which are oncogenic or have oncogenic potential, and low-risk types (LR-HPVs), which do not exhibit a causal association with cancer (<xref rid="b9-ol-0-0-4668" ref-type="bibr">9</xref>). A recent study provided biological evidence of carcinogenicity for HPV types 26, 53, 66, 67, 68, 70, 73 and 82, which were previously classified as possibly carcinogenic (HPV26, 53, 66, 68, 73 and 82) and non-carcinogenic (HPV67 and 70) (<xref rid="b10-ol-0-0-4668" ref-type="bibr">10</xref>). Whereas LR-HPV types account for non-fatal conditions, including warts and condylomas, numerous studies have demonstrated the causal association between HR-HPV and malignant lesions (<xref rid="b4-ol-0-0-4668" ref-type="bibr">4</xref>,<xref rid="b6-ol-0-0-4668" ref-type="bibr">6</xref>,<xref rid="b11-ol-0-0-4668" ref-type="bibr">11</xref>). In a retrospective cross-sectional worldwide study concerning the association between HPV genotype and cervical cancer using data from &#x003E;10,000 patients, HPV DNA was identified in 85&#x0025; of patients with cervical cancer (<xref rid="b12-ol-0-0-4668" ref-type="bibr">12</xref>). The highest carcinogenic risk is attributed to the following HR-HPV types: 16, 18, 31, 33, 35, 52 and 58 (<xref rid="b13-ol-0-0-4668" ref-type="bibr">13</xref>). HPV16 and 18 are associated with &#x003E;2/3 of all cervical cancer cases worldwide (<xref rid="b14-ol-0-0-4668" ref-type="bibr">14</xref>&#x2013;<xref rid="b16-ol-0-0-4668" ref-type="bibr">16</xref>), which has led to the development of prophylactic vaccines against these two HPV types (<xref rid="b17-ol-0-0-4668" ref-type="bibr">17</xref>).</p>
<p>Currently, there are two approved HPV vaccines in Germany (<xref rid="b18-ol-0-0-4668" ref-type="bibr">18</xref>). These are the quadrivalent vaccine Gardasil<sup>&#x00AE;</sup> (Merck &#x0026; Co., Inc., Whitehouse Station, NJ, USA), which targets HPV6, 11, 16 and 18, and the bivalent vaccine Cervarix<sup>&#x00AE;</sup> (GlaxoSmithKline, Brentford, UK), which targets HPV16 and 18. Since 2006, numerous countries have implemented vaccination programs using these two vaccines (<xref rid="b18-ol-0-0-4668" ref-type="bibr">18</xref>). In Germany, HPV vaccination is usually performed during a routine adolescent health check-up termed J1, which is available for 12&#x2013;14 year-old girls, and the recommendation of the Standing Committee on Vaccination at the Robert Koch Institute is to vaccinate between the ages of 9 and 14 years (<xref rid="b19-ol-0-0-4668" ref-type="bibr">19</xref>). The results from clinical trials indicate that vaccinated girls and women have an increased protection against the development of CIN (<xref rid="b20-ol-0-0-4668" ref-type="bibr">20</xref>&#x2013;<xref rid="b23-ol-0-0-4668" ref-type="bibr">23</xref>). In addition to the proven efficacy against HPV16 and 18 (<xref rid="b10-ol-0-0-4668" ref-type="bibr">10</xref>,<xref rid="b15-ol-0-0-4668" ref-type="bibr">15</xref>), the above bivalent and quadrivalent HPV vaccines are known to confer cross-protection against certain non-vaccine HPV types. The quadrivalent vaccine has been described to cross-protect mainly against HPV31 (<xref rid="b24-ol-0-0-4668" ref-type="bibr">24</xref>), while the bivalent vaccine has been demonstrated to exhibit a protective effect against HPV31, 33, 45 (<xref rid="b25-ol-0-0-4668" ref-type="bibr">25</xref>) and 51 (<xref rid="b26-ol-0-0-4668" ref-type="bibr">26</xref>).</p>
<p>With the increasing impact of vaccination against certain HPV types in young women (<xref rid="b27-ol-0-0-4668" ref-type="bibr">27</xref>), it is important to monitor shifts in the prevalence of HPV types. Therefore, the aim of the present study is to determine and evaluate the prevalence of different HPV types in Southern Bavaria, and to analyze the local HPV type distribution in women with abnormal cytological diagnostic findings. Cervical co-infection with multiple HPV types is widespread (<xref rid="b28-ol-0-0-4668" ref-type="bibr">28</xref>), and may contribute to a higher risk of developing cervical lesions with precancerous potential. Consequently, evaluating the prevalence of infections with &#x003E;1 HPV type is an additional aim of the present study.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Patient cohort</title>
<p>The study cohort consisted of 615 Caucasian women aged between 16 and 93 years. The participants had undergone routine cytological evaluation in three Southern Bavaria pathology centers (Institutes of Pathology at Kaufbeuren, Ravensburg and Rosenheim, Germany) using the Second Munich Cytological Classification (<xref rid="b29-ol-0-0-4668" ref-type="bibr">29</xref>). The cytology was re-evaluated in the present study using the Bethesda classification system (<xref rid="b30-ol-0-0-4668" ref-type="bibr">30</xref>). Only data from participants with a conspicuous cervical cytological indication and available HPV analysis were included in the present study. Complete data on the individual vaccination status of every participant was not available. Written informed consent was obtained from all patients for the use of their data. The present study was approved under the ethical regulations that exist at the Medical Faculty of the University of Regensburg (Bavaria, Germany).</p>
</sec>
<sec>
<title>Cytology</title>
<p>Cytological specimens were collected between December 2010 and September 2014 by Pap smear. The specimens were dehydrated, and subsequently stained with Harris&#x0027; hematoxylin (Carl Roth GmbH, Karlsruhe, Germany), bleached with hydrated hydrochloric acid (Hernicht GmbH, Sulzberg, Germany), and stained orange-red with Papanicolaou&#x0027;s staining solution Orange G (EA 50; VWR International GmbH, Darmstadt, Germany), according to the manufacturer&#x0027;s protocol. The slides were reviewed by qualified pathologists at the Institutes of Pathology at Kaufbeuren, Ravensburg and Rosenheim using the Bethesda classification system (<xref rid="b31-ol-0-0-4668" ref-type="bibr">31</xref>). Smears with atypical squamous cells of undetermined significance (ASC-US), low-grade squamous intraepithelial lesion (LSIL) and high-grade squamous intraepithelial lesion (HSIL) were subjected to further analysis.</p>
</sec>
<sec>
<title>Histopathology</title>
<p>In addition to the Pap smear, cervical conization specimens were obtained from a subgroup of 86 out of 615 participants. The cervical conization specimens were reviewed and classified as grades CIN1, CIN2 and CIN3, according to the WHO criteria (<xref rid="b32-ol-0-0-4668" ref-type="bibr">32</xref>). The specimens were immediately fixed following surgery in buffered 4&#x0025; formaldehyde (Hernicht GmbH), and subsequently analyzed with hematoxylin and eosin staining (VWR International GmbH). Tissue sections (2-&#x00B5;m thick; RM2235 Microtome; Leica Microsystems GmbH, Wetzlar, Germany) were obtained from paraffin-embedded tissue (Hasuwax Paraffin; Sussmann &#x0026; Steinhauser GmbH, Kaufbeuren, Germany). In certain tissues, p16 immunohistochemistry was performed using the CINtec<sup>&#x00AE;</sup> Histology kit (catalog no., 9517; mouse monoclonal anti-p16 antibody; dilution, 1:50; Roche Diagnostics GmbH, Mannheim, Germany), according to the manufacturer&#x0027;s protocol, to confirm cervical intraepithelial dysplasia.</p>
</sec>
<sec>
<title>HPV DNA testing</title>
<p>DNA was isolated from the formalin-fixed, paraffin-embedded (FFPE) tissues using the QIAamp DNA FFPE Tissue kit (Qiagen GmbH, Hilden, Germany) and the QIAcube (Qiagen GmbH), according to the manufacturer&#x0027;s protocol. HPV testing was performed using a DNA-based liquid-crystal display (LCD)-Array kit (LCD Array HPV 3.5; Chipron GmbH, Berlin, Germany), which contained 32 specific capture probes for the identification of 32 types of HPV. In total, 20 &#x00B5;l polymerase chain reaction (PCR) AmpliTaq Gold<sup>&#x00AE;</sup> 360 Master Mix (Applied Biosystems; Thermo Fisher Scientific, Inc., Waltham, MA, USA) was used, which contained 1.2 &#x00B5;l pre-labeled primer mix, 0.2 &#x00B5;M dNTPs, 2 mM magnesium, 0.2 U Taq-Gold polymerase and 2 &#x00B5;l template DNA. Amplification was performed in a DNA Engine<sup>&#x00AE;</sup> Thermal Cycler (Bio-Rad Laboratories, Inc., Hercules, CA, USA) with the following PCR program: Initial denaturation of 10 min at 95&#x00B0;C followed by 42 cycles of 1 min at 94&#x00B0;C, 1.5 min at 45&#x00B0;C and 1.5 min at 72&#x00B0;C, with a final elongation of 3 min at 72&#x00B0;C. The present study adapted the classification of HR- and LR-HPV types according to previous studies concerning the carcinogenic properties of particular HPV types (<xref rid="b10-ol-0-0-4668" ref-type="bibr">10</xref>,<xref rid="b33-ol-0-0-4668" ref-type="bibr">33</xref>). Therefore, the panel of identifiable HPV types consisted of 20 HR-HPV types (HPV16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 67, 68, 70, 73, 82 and 83) and 12 LR-HPV types (HPV6, 11, 42, 44, 54, 61, 62, 72, 81, 84, 87, 90 and 91). The positive control contained DNA from a HPV-positive (HPV 16) sample while the negative control contained no DNA. Using the LCD-Array kit (LCD Array HPV 3.5; Chipron GmbH), the labeled PCR fragments were combined with hybridization buffer (Chipron GmbH) and hybridized at 35&#x00B0;C for 30 min to the individual array fields of one chip with specific capture probes (Chipron GmbH). Following a washing procedure according to the manufacturer&#x0027;s protocol, each field was incubated with a secondary label solution for 5 min at room temperature (enzyme-conjugate, Chipron GmbH). Subsequent to a second washing step, the bound PCR fragments were visualized by a blue precipitate formed by the &#x2018;BLUE stain&#x2019; enzyme substrate provided (Chipron GmbH).</p>
<p>PCR results were evaluated using SlideReader Software v2.0 (Chipron GmbH). PCR, hybridization, labeling and staining were performed according the manufacturer&#x0027;s protocol (Chipron GmbH). HPV types that were detected by PCR but did not generate signals on the LCD array were sequenced and subjected to Basic Local Alignment Search Tool analysis (National Center for Biotechnology Information, Bethesda, MD, USA). One tissue sample with HPV87 was detected by sequencing.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Patient characteristics</title>
<p>The current study consisted of 615 female participants with abnormal cervical cytological pathology (ASC-US, LSIL or HSIL). In total, 35.61&#x0025; (219/615) of the participants were &#x003C;30 years of age, 32.36&#x0025; (199/615) were 30&#x2013;44 years old, 28.62&#x0025; (176/615) were 45&#x2013;59 years old and 3.41&#x0025; (21/615) were &#x003E;60 years of age. In 470 (76.42&#x0025;) of these participants, HPV infection was detected, and 419 (89.15&#x0025;) of them were infected with &#x2265;1 HR-HPV type. As shown in <xref rid="tI-ol-0-0-4668" ref-type="table">Table I</xref>, a total of 204 out of 615 participants (33.17&#x0025;) were infected with a single type (ST) of HPV, while 266 participants (43.25&#x0025;) were infected with multiple types (MTs), providing a total of 775 HPV results (mean of participants with MT infection, 2.9 types). The distribution of the detected HPV types divided by age group (&#x003C;30 years; 30&#x2013;44 years; 45&#x2013;59 years; and &#x2265;60 years) is revealed in <xref rid="tI-ol-0-0-4668" ref-type="table">Table I</xref>. The incidence rates in <xref rid="tI-ol-0-0-4668" ref-type="table">Table I</xref> are presented as the total number of participants and the number of HPV<sup>&#x002B;</sup> participants. The prevalence of infected participants declined by age (&#x003C;30 years, 86.30&#x0025;; 30&#x2013;44 years, 77.89&#x0025;; 45&#x2013;59 years, 63.31&#x0025;). In participants &#x2265;60 years old, there was an unanticipated high rate (71.43&#x0025;) of infection. However, this is not significant, due to the small group size (n=21).</p>
<p>The present study additionally analyzed participants with ST or MT infection. The highest rate of MT infection (64.02&#x0025; of all infected patients) was observed in participants &#x003C;30 years old. In participants &#x003E;30 years old, the percentage of patients with MT infection was lower (30&#x2013;44 years, 51.61&#x0025;; 45&#x2013;59 years, 52.25&#x0025;; &#x2265;60 years, 46.67&#x0025;). The highest prevalence of HPV type was HPV16 (HR), which was present in 32.98&#x0025; of participants that tested HPV<sup>&#x002B;</sup>, followed by HPV42 (LR; 18.09&#x0025;), HPV31 (HR; 17.66&#x0025;), HPV51 (HR; 13.83&#x0025;), HPV56 (HR; 10.00&#x0025;), HPV66 (HR; 8.72&#x0025;) and HPV53 (HR; 8.72&#x0025;). HR-HPV type infections that may be directly prevented by vaccination or via cross-protection with available vaccines are marked in green (HPV16 and 18) and yellow (HPV31) in <xref rid="f1-ol-0-0-4668" ref-type="fig">Figs. 1</xref> and <xref rid="f2-ol-0-0-4668" ref-type="fig">2</xref>, while HR-HPV types with the highest prevalence (HPV51, 53, 56 and 66), with no protection from vaccinations, are marked in red. HPV18 infection occurred in 6.38&#x0025; of participants that tested HPV<sup>&#x002B;</sup>. The prevalence of HPV16 was highest in participants &#x003C;30 years (41.27&#x0025;), and declined with older age (30&#x2013;44 years, 30.97&#x0025;; 45&#x2013;59 years, 22.52&#x0025;; &#x2265;60 years, 26.67&#x0025;).</p>
</sec>
<sec>
<title>Incidence of ST and MT infection</title>
<p><xref rid="f1-ol-0-0-4668" ref-type="fig">Fig. 1</xref> represents the prevalence of ST and MT infections for all the HPV types analyzed. HPV16 and 18, known to be cervical carcinogens, were observed in 39.36&#x0025; of HPV<sup>&#x002B;</sup> participants (ST or MT infection) and in 44.05&#x0025; of HR-HPV infected participants. In 67.10&#x0025; (104/155) of participants, the presence of HPV16 was associated with MT infection, while this percentage was 66.67&#x0025; (20/30) for HPV18. The most frequent HPV types that exhibited co-infection with HPV16 were HPV42 (n=22), HPV51 (n=21), HPV31 (n=17), HPV66 (n=16), HPV56 (n=12), HPV67 (n=12), HPV18 (n=11), HPV39 (n=11) and HPV90 (n=11). In total, 55.95&#x0025; of HR-HPV-infected participants were not infected with HPV16 or 18. The less prevalent HPV18 was identified in 20 out of 30 participants with MT-HPV infection, most frequently with HPV16 (n=11), and rarely with HPV51 (n=5), HPV31 (n=3), HPV44 (n=3), HPV59 (n=3) and HPV66 (n=3).</p>
</sec>
<sec>
<title>HPV type and association with cervical cancer</title>
<p><xref rid="f2-ol-0-0-4668" ref-type="fig">Fig. 2</xref> represents the number of findings of each HPV type, and the corresponding cervical cytological finding, based on the Bethesda classification system (<xref rid="b30-ol-0-0-4668" ref-type="bibr">30</xref>). The relative distribution of cytological diagnosis in the group of HPV<sup>&#x002B;</sup> participants was clearly different, compared with the cytological diagnosis of HPV<sup>&#x2212;</sup> participants (<xref rid="f3-ol-0-0-4668" ref-type="fig">Fig. 3</xref>). The prevalence of LSIL and HSIL was increased in the group of HPV<sup>&#x002B;</sup> participants, which suggests that HPV may cause the development of a precancerous lesion. The distribution of cytological findings among participants with &#x2265;1 HR-HPV type, partially with an additional LR-HPV appearance, differed from the distribution of cytological findings among participants with &#x2264;1 LR-HPV type and without any HR-HPV appearance. Therefore, this suggests that there were proportionally more LSIL and HSIL cases, compared with ASC-US cases. Three HR-HPV types, namely HPV16, 18 and 31 were present singularly in 65.25&#x0025; of HSIL cases, compared with 37.79 and 26.37&#x0025; in LSIL and ASC-US cases, respectively. The general distribution of cytological diagnosis according to HPV type, HR- or LR-HPV prevalence and ST or MT infection status are presented in <xref rid="f3-ol-0-0-4668" ref-type="fig">Fig. 3</xref> (ASC-US, n=182; LSIL, n=307; HSIL, n=126). There were proportionally more participants with MT-HPV infection classified as LSIL and HSIL, compared with participants with a single infection, who were classified as ASC-US. Notably, 7 out of 266 participants (2.63&#x0025;) with MT possessed LR-HPV types and, in contrast, 259 women (97.37&#x0025;) possessed HR-HPV types or a mixture of HR- and LR-HPV types.</p>
</sec>
<sec>
<title>Cervical conization specimens</title>
<p>In a subgroup of 86 participants, cervical conization specimens were obtained, and 80 of these participants exhibited cervical intraepithelial neoplasia, which were classified as CIN1 (22/80), CIN2 (27/80) or CIN3 (31/80). The prevalence of HR-HPVs was associated with a more severe cervical intraepithelial neoplasia (HR-HPV appearances: CIN1, 77.27&#x0025;; CIN2, 81.48&#x0025;; and CIN3, 90.32&#x0025;). The total prevalence of HR-HPV types 16, 18 and 31 was highest in participants whose neoplasms were classified as CIN3 (64.52&#x0025;; 20/31), followed by 55.56&#x0025; (15/27) of neoplasms classified as CIN2 and 50.00&#x0025; (11/22) of neoplasms classified as CIN1. By contrast, there was no evidence that MT infections were more prevalent in neoplasms classified as CIN3 (48.39&#x0025;), compared with those classified as CIN2 (50.85&#x0025;). In addition, the present study demonstrated that in participants with CIN3 lesions, a cytological diagnosis of ASC-US was present in 19.35&#x0025; of participants, LSIL in 32.26&#x0025; participants and HSIL in 48.39&#x0025; of participants. Participants that possessed CIN1 or CIN2 neoplasms were more likely to exhibit LSIL (50.00&#x0025;; 66.67&#x0025;), compared with HSIL (31.82&#x0025;; 18.52&#x0025;). There was no accumulation of specific HPV types among the non-vaccinated HR-HPV participants that could be assigned to one of the CIN classes.</p>
</sec>
<sec>
<title>HPV vaccination</title>
<p>In Germany, a routine HPV vaccine has been recommended for 12&#x2013;17 year-old girls since 2007 (<xref rid="b34-ol-0-0-4668" ref-type="bibr">34</xref>). Consequently, in the present study, participants aged 19&#x2013;21 years may have been vaccinated, while women &#x003E;22 years presumably had not been vaccinated. Therefore, a disparity was expected among the participants in the &#x003C;30-year-old group. As a result, this age group was divided into two subgroups: Those aged &#x003C;23 years (n=49), and those aged 23&#x2013;29 years (n=140). For participants &#x003C;23 years old, information on vaccination status was obtained from 24 participants, and the information was as follows: 37.50&#x0025; of patients (9/24) were vaccinated (Gardasil<sup>&#x00AE;</sup>, 7; unknown, 2), while 62.50&#x0025; (15/24) were not vaccinated. Although the present study did not include data on the individual vaccination status of all participants, based on the results from the 9 participants in the &#x003C;23-year-old group, it was estimated that ~1/3 of women &#x003C;23 years of age were protected against HPV by vaccination. The number of HPV types that may be suppressed directly by vaccination (HPV6, 11, 16 and 18) or potentially reduced via cross-protection by &#x2265;1 of the current vaccines (HPV31, 33, 45, 52 and 58) are presented in <xref rid="f4-ol-0-0-4668" ref-type="fig">Fig. 4</xref>. The prevalence of HPV16, 18 and 31 was considerably decreased in participants aged &#x003C;23 years old (HPV16, 28.57&#x0025;; HPV18, 2.04&#x0025;; HPV31, 6.12&#x0025;), compared with those aged 23&#x2013;29 years old (HPV16, 45.71&#x0025;; HPV18, 7.86&#x0025;; HPV31, 22.86&#x0025;). These results support that vaccination of young women is important in preventing infections with HR-HPV. However, the prevalence of certain HR-HPVs that are not affected by direct vaccination or cross-protection remains quite high. The most frequent HR-HPVs identified by the present study were HPV51 (13.83&#x0025;), HPV56 (10.00&#x0025;) and HPV66 (8.72&#x0025;), which are labeled red in <xref rid="f1-ol-0-0-4668" ref-type="fig">Figs. 1</xref> and <xref rid="f2-ol-0-0-4668" ref-type="fig">2</xref>.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The present study evaluated the prevalence of important HPV types in a local cohort of participants from Southern Bavaria, and analyzed the HPV type distribution in participants with abnormal cytological diagnostic findings, who were separated by various age groups. It is well known that the distribution of HPV types varies around the world (<xref rid="b14-ol-0-0-4668" ref-type="bibr">14</xref>), and it is hypothesized, based on a pooled analysis from women with normal cytological findings in various studies, that the prevalence of HPV16 is more prominent in Europe and North America, compared with other regions of the world (<xref rid="b12-ol-0-0-4668" ref-type="bibr">12</xref>,<xref rid="b14-ol-0-0-4668" ref-type="bibr">14</xref>,<xref rid="b33-ol-0-0-4668" ref-type="bibr">33</xref>,<xref rid="b34-ol-0-0-4668" ref-type="bibr">34</xref>). In the current study, HPV infection was detected in 76.42&#x0025; of participants with an abnormal cytological finding. In total, 89.15&#x0025; of participants were infected with &#x2265;1 HR-HPV, which is significantly higher than the incidence previously reported in a similar study conducted in Italy (68.90&#x0025;) (<xref rid="b35-ol-0-0-4668" ref-type="bibr">35</xref>). However, it taken into consideration the fact that the present study classified more HPV types as HR-HPV than the aforementioned previous study did. In the present study, an outdated HPV classification system with several probably HR-HPV types identified that the HR-HPV prevalence was 81.50&#x0025; in participants &#x003C;30 years of age. This is slightly lower than the prevalence previously described for other regions in Germany (88.40&#x0025;) (<xref rid="b36-ol-0-0-4668" ref-type="bibr">36</xref>). However, using a classification system based on novel biological evidence, which revealed that more HPV types exhibit carcinogenicity than previously acknowledged (<xref rid="b10-ol-0-0-4668" ref-type="bibr">10</xref>,<xref rid="b33-ol-0-0-4668" ref-type="bibr">33</xref>), the prevalence of HR-HPV types identified by the present study increased to 91.53&#x0025;.</p>
<p>In addition, the present study observed that the prevalence of HPV16 and 18 in participants &#x003E;30 years old was 33.81&#x0025;, which is close to the prevalence of 34.50&#x0025; identified in a previous study (<xref rid="b36-ol-0-0-4668" ref-type="bibr">36</xref>). In participants aged &#x003C;30 years old, the highest incidence of HPV16 and 18 was 47.62&#x0025;, which is higher than the prevalence of 37.40&#x0025; identified in a previous study on young women &#x003C;30 years of age in Germany (<xref rid="b37-ol-0-0-4668" ref-type="bibr">37</xref>). The decreasing prevalence of HPV16 in older participants demonstrated by the current study has previously been described in a cross-national study conducted prior to the initiation of the HPV vaccination program (<xref rid="b11-ol-0-0-4668" ref-type="bibr">11</xref>).</p>
<p>It was previously demonstrated that MT HPV are more common in women with cervical lesions, compared with women with normal cervical cytology (<xref rid="b38-ol-0-0-4668" ref-type="bibr">38</xref>). However, it has been observed that the presence of MT HPV does not affect the severity of infection, and HPV infections are independent of one another (<xref rid="b39-ol-0-0-4668" ref-type="bibr">39</xref>). In the present study, 43.40&#x0025; of all HPV<sup>&#x002B;</sup> participants were infected with one type of HPV (ST HPV), whereas the majority of participants exhibited MT HPV (56.60&#x0025;). In patients who were&#x003C;30 years old, the prevalence of MT HPV differed considerably from participants aged 30&#x2013;44, 45&#x2013;59 and &#x2265;60 years old. Thus, 64.02&#x0025; of participants aged &#x003C;30 years presented MT HPV, compared with 51.61&#x0025; of participants aged &#x003E;29 years old. Similar age-stratified proportions of ST and MT infections have been previously described in other countries (<xref rid="b38-ol-0-0-4668" ref-type="bibr">38</xref>,<xref rid="b40-ol-0-0-4668" ref-type="bibr">40</xref>,<xref rid="b41-ol-0-0-4668" ref-type="bibr">41</xref>). This may be explained by differences in the immune system, and individuals may be capable of eradicating, at least in part, HPV infections over time.</p>
<p>In addition to the prevalence of specific HPV types, the present study analyzed the distribution of HPV types in participants with abnormal cervical cytology. Since HPV may cause the development of precancerous lesions (<xref rid="b3-ol-0-0-4668" ref-type="bibr">3</xref>), it was expected that the cytological findings from HPV<sup>&#x002B;</sup> participants would be different to findings from HPV<sup>&#x2212;</sup> participants. HPV<sup>&#x002B;</sup> participants exhibited higher grades of neoplasms (LSIL and HSIL) than HPV<sup>&#x2212;</sup> participants. Furthermore, participants with &#x2265;1 HR-HPV type were more often diagnosed with HSIL than participants with LR-HPV. Similar observations concerning the association of poor cytological diagnosis with carcinogenic HPV types have been previously reported (<xref rid="b36-ol-0-0-4668" ref-type="bibr">36</xref>,<xref rid="b38-ol-0-0-4668" ref-type="bibr">38</xref>). In all grades of cytological diagnosis, HPV16 was the most common HPV type (ASC-US, 29.46&#x0025;; LSIL, 29.58&#x0025;; HSIL, 43.22&#x0025;). In a similar study conducted previously in Italy (<xref rid="b35-ol-0-0-4668" ref-type="bibr">35</xref>), HPV16 was the most common HPV type observed in women with HSIL (27.30&#x0025;). However, in the present study, HPV51 and HPV56 had the highest incidence in participants with ASC-US lesions or LSIL (24.82 and 19.17&#x0025;, respectively). Future studies on which HPV type may become more important in the development of higher grade SILs as HPV vaccination coverage increases may be of great interest.</p>
<p>In the current study, 80 participants with cervical intraepithelial neoplasia were classified as grade CIN1 (22/80), CIN2 (27/80) or CIN3 (31/80). As previously reported, the incidences of particular HR-HPV infections were observed to increase in association with the severity of the cervical intraepithelial neoplasia in the present study (<xref rid="b5-ol-0-0-4668" ref-type="bibr">5</xref>,<xref rid="b35-ol-0-0-4668" ref-type="bibr">35</xref>,<xref rid="b42-ol-0-0-4668" ref-type="bibr">42</xref>,<xref rid="b43-ol-0-0-4668" ref-type="bibr">43</xref>). In previous studies, each high-grade cervical neoplasia was attributed to a single HR-HPV infection, and HPV16 and 31 were the predominant HR-HPV types (<xref rid="b44-ol-0-0-4668" ref-type="bibr">44</xref>). These results are similar to the cytological findings of the present study, which demonstrated that the most frequent HPV types were HPV16 and 31.</p>
<p>Although the present study revealed that the highest prevalence of HPV16 was in participants &#x003C;30 years of age, it is important to emphasize that a subgroup of the youngest women, namely those aged &#x003C;23 years old, exhibited a significantly lower incidence, compared with women aged 23&#x2013;29 years old (28.57 vs. 45.71&#x0025;, respectively). The lower relative incidences of HPV16, 18 and 31 observed in the present study may be explained by a higher rate of vaccinated participants aged &#x003C;23 years old. The low vaccination coverage in Germany (<xref rid="b45-ol-0-0-4668" ref-type="bibr">45</xref>,<xref rid="b46-ol-0-0-4668" ref-type="bibr">46</xref>) may be attributed to the fact that women, who at the time of the present study were in their mid-twenties, were excluded from the recommendation for HPV vaccination, due to the restriction of the vaccination program to girls aged 12&#x2013;17 years (<xref rid="b47-ol-0-0-4668" ref-type="bibr">47</xref>). In a recent study with a group of vaccinated women, the prevalence of HPV16 and 18 was significantly lower in women aged 20&#x2013;21 years old, compared with non-vaccinated woman of the same age (<xref rid="b48-ol-0-0-4668" ref-type="bibr">48</xref>). The present study observed that the incidence of HPV31 was also lower in participants aged &#x003C;23 years old, which may be due to the cross-protective effect of the two vaccines (<xref rid="b25-ol-0-0-4668" ref-type="bibr">25</xref>,<xref rid="b26-ol-0-0-4668" ref-type="bibr">26</xref>). Since women that are aged &#x003C;23 years old are more often protected against HPV16 and 18, as a result of vaccination programs that consist of girls and young women primarily, the proportion of other HPV types among infected women may gradually rise in future populations. Considering the increasing impact of vaccination against certain HPV types, it is important to acknowledge the shifting distribution of non-vaccine HPV types, predominantly HPV51, 53, 56 and 66, which were observed to have one of the highest incidences among the participants in the present study. A reduction in the incidence of HPV31, due to the cross-protective effects of the current vaccines, may also decrease the incidence of HPV16 and 18 with continuing or intensified vaccination programs. Although the present study expects that the proportion of HR-HPV types not covered by vaccination may increase in the near future, it remains unclear whether the absolute number of precancerous lesions and cervical cancer may also increase in the absence of HPV16 and 18. In a recently reported meta-analysis (<xref rid="b27-ol-0-0-4668" ref-type="bibr">27</xref>), HPV16 and 18 infections decreased between pre-vaccination and post-vaccination by 68&#x0025; in girls aged 13&#x2013;19 years countries with a vaccination coverage of &#x2265;50&#x0025; (<xref rid="b49-ol-0-0-4668" ref-type="bibr">49</xref>), and the prevalence of HPV 31, 33 and 45 were also reduced. This probable effect of cross-protection was not reported for countries with a vaccination coverage of &#x003C;50&#x0025; in girls aged &#x003C;20-years-old, but a reduction in HPV16 and 18 was observed. Recently, it was demonstrated in a large cohort study that, due to the negative interaction of HPV16 with other HR-HPVs (35, 51, 56 and 58), the removal of HPV16 may enable other HR-HPVs to become more prevalent (<xref rid="b50-ol-0-0-4668" ref-type="bibr">50</xref>). It was previously discussed that the relatively higher prevalence of HPV16 may result in under detection of low-copy HPV co-infections, particularly when the same amplification primers are used for HPV16 and other HPV types (<xref rid="b50-ol-0-0-4668" ref-type="bibr">50</xref>). Using an epidemiological approach, Tota <italic>et al</italic> (<xref rid="b51-ol-0-0-4668" ref-type="bibr">51</xref>) hypothesized that eradicating vaccine-targeted HPV16 and 18 enhances the chance of other HPV types not targeted by the vaccine to occupy the ecological niche created by the extinction of HPV16 and 18. Due to cross-protection against other HPV types with current vaccines and the upcoming implementation of novel multivalent vaccines against the majority of the HR-HPV types diminishes the risk of type replacement (<xref rid="b52-ol-0-0-4668" ref-type="bibr">52</xref>).</p>
<p>Consequently, adequate prevention strategies against HPV depend on adapted HPV testing, which should cover all non LR-HPV types. Notably, certain FDA-approved used HPV tests, such as Hybrid Capture 2 (Digene Corporation, Gaithersburg, MD, USA), do not cover all HR-HPV types, which were detected with the test platform used in the current study, including Papillocheck<sup>&#x00AE;</sup> (Greiner Bio One Ltd., Stonehouse, UK) and Linear Array<sup>&#x00AE;</sup> (Roche Diagnostics GmbH). The present results indicate that ~9&#x0025; of samples with HR-HPV infections may have been incorrectly reported as HPV<sup>&#x2212;</sup> by the Hybrid Capture 2 test. The information that eight HPV types formerly classified as low-risk or probably high-risk are indeed HR-HPV types increases the percentage of non-vaccine HR-HPV to higher values than previously expected (<xref rid="b10-ol-0-0-4668" ref-type="bibr">10</xref>). Accordingly, it may become increasingly important to monitor non-vaccine types using capable detection methods in future studies, and to investigate the possible increase of several HR-HPV types.</p>
<p>In participants from the present cohort study, high incidences of HR-HPV types (89.15&#x0025;) and a high incidence of HPV16 (32.98&#x0025;) were observed. In all grades of cytological diagnosis (ASC-US, LSIL and HSIL), HPV16 was the most common HPV type identified. The prevalence of specific HR-HPV infections increased with a more severe CIN grade. The number of findings of HR-HPV types, which may be suppressed directly (HPV16 and 18) or via cross-protection (HPV31) following vaccination, was considerably lower in participants aged &#x2264;22 years old (HPV16, 28.57&#x0025;; HPV18, 2.04&#x0025;; HPV31, 6.12&#x0025;), compared with those aged 23&#x2013;29 years old (HPV16, 45.71&#x0025;; HPV18, 7.86&#x0025;; HPV31, 22.86&#x0025;). Consequently, in HPV<sup>&#x002B;</sup> women of 16&#x2013;22 years of age, who are more likely to be protected against certain HPV types by vaccination, compared with older woman, the present study observed an alteration in the incidences of HPV type. Consequently, future studies are required to investigate the risk of non-vaccine HR-HPV types for cervical cancer.</p>
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<title>Acknowledgements</title>
<p>The authors of the present study would like to thank Mrs. Andrea Becher for using the data included in her dissertation thesis in the elaboration of the present manuscript. The authors acknowledge the support of all the staff members of the Part Shared Practice Molecular Pathology South Bavaria (Munich, Germany).</p>
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<floats-group>
<fig id="f1-ol-0-0-4668" position="float">
<label>Figure 1.</label>
<caption><p>Prevalence of HR- and LR-HPV types among participants in the present study, represented according to their incidences as ST or MT infection. HPV types targeted directly by vaccination are labelled green. HPV types where a cross-protective effect has been described for current vaccines are labelled yellow. HR-HPV types without vaccination coverage and a high incidence are labelled red. HPV types were identified using Chipron LCD Array HPV 3.5 or DNA sequencing (in the case of HPV87). HPV, human papilloma virus; HR, high risk; LR, low risk; ST, single type; MT, multiple type; LCD, liquid-crystal display.</p></caption>
<graphic xlink:href="ol-12-01-0601-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-4668" position="float">
<label>Figure 2.</label>
<caption><p>Prevalence of HPV types among participants in the present study with ASC-US, LSIL or HSIL. HPV types targeted directly by vaccination are labelled green. HPV types where a cross-protective effect has been described for current vaccines are labelled yellow. HR-HPV types without vaccination coverage and high incidence are labelled red. HPV types were identified using Chipron LCD Array HPV 3.5 or DNA sequencing (in the case of HPV87). HPV, human papilloma virus; ASC-US, atypical squamous cell of undetermined significance; LSIL, low-grade squamous intraepithelial lesion; HSIL, high-grade squamous intraepithelial lesion; HR, high risk; LR, low risk; LCD, liquid-crystal display.</p></caption>
<graphic xlink:href="ol-12-01-0601-g01.tif"/>
</fig>
<fig id="f3-ol-0-0-4668" position="float">
<label>Figure 3.</label>
<caption><p>Relative distribution of HPV<sup>&#x002B;</sup> and HPV<sup>&#x2212;</sup> participants according to the Bethesda cervical cytological classification (ASC-US, LSIL or HSIL). The distribution of cervical cytological classification among participants in the present study with &#x2265;1 HR-HPV or 1 probably HR-HPV type with additional LR-HPV appearance, and the distribution of cervical cytological classification among participants with &#x2265;1 LR-HPV type without any HR-HPV appearance, are depicted. Furthermore, the relative distribution of participants according to single or multiple infection is represented in the graph. HPV, human papilloma virus; ASC-US, atypical squamous cell of undetermined significance; LSIL, low-grade squamous intraepithelial lesion; HSIL, high-grade squamous intraepithelial lesion; HR, high risk; LR, low risk.</p></caption>
<graphic xlink:href="ol-12-01-0601-g02.tif"/>
</fig>
<fig id="f4-ol-0-0-4668" position="float">
<label>Figure 4.</label>
<caption><p>(A) Number of findings and (B) incidences of HPV types that are impaired directly by vaccination or potentially via cross-protection by available vaccines. Participants &#x003C;30 years of age are divided into two subgroups (group 1, &#x003C;23 years old; group 2, 23&#x2013;29 years old), where women &#x2264;22 years old are more often protected against certain HPV types by vaccination, compared with participants aged &#x003E;23 years old. HPV, human papilloma virus.</p></caption>
<graphic xlink:href="ol-12-01-0601-g03.jpg"/>
</fig>
<table-wrap id="tI-ol-0-0-4668" position="float">
<label>Table I.</label>
<caption><p>Type-specific HPV incidence in 615 women, grouped according to their age and risk of developing risk cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th/>
<th/>
<th/>
<th align="center" colspan="8" valign="bottom">Age groups (HPV<sup>&#x002B;</sup> participants only)</th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th/>
<th/>
<th align="center" colspan="8" valign="bottom"><hr/></th>
</tr>
<tr>
<th/>
<th/>
<th align="center" colspan="3" valign="bottom">HPV<sup>&#x002B;</sup> participants</th>
<th align="center" colspan="2" valign="bottom">Group I (&#x003C;30 years)</th>
<th align="center" colspan="2" valign="bottom">Group II (30&#x2013;44 years)</th>
<th align="center" colspan="2" valign="bottom">Group III (45&#x2013;59 years)</th>
<th align="center" colspan="2" valign="bottom">Group IV (&#x2265;60 years)</th>
</tr>
<tr>
<th/>
<th/>
<th align="center" colspan="3" valign="bottom"><hr/></th>
<th align="center" colspan="2" valign="bottom"><hr/></th>
<th align="center" colspan="2" valign="bottom"><hr/></th>
<th align="center" colspan="2" valign="bottom"><hr/></th>
<th align="center" colspan="2" valign="bottom"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Variable</th>
<th align="center" valign="bottom">Total n (&#x0025;)</th>
<th align="center" valign="bottom">n (&#x0025;)</th>
<th align="center" valign="bottom">ST</th>
<th align="center" valign="bottom">MT</th>
<th align="center" valign="bottom">n (&#x0025;)</th>
<th align="center" valign="bottom">MT</th>
<th align="center" valign="bottom">n (&#x0025;)</th>
<th align="center" valign="bottom">MT</th>
<th align="center" valign="bottom">n (&#x0025;)</th>
<th align="center" valign="bottom">MT</th>
<th align="center" valign="bottom">n (&#x0025;)</th>
<th align="center" valign="bottom">MT</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Abnormal cytology</td>
<td align="center" valign="top">615 (NA)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;470 (76.42)</td>
<td align="center" valign="top">204</td>
<td align="center" valign="top">266</td>
<td align="center" valign="top">189 (NA)</td>
<td align="center" valign="top">121</td>
<td align="center" valign="top">155 (NA)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;80</td>
<td align="center" valign="top">111 (NA)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;58</td>
<td align="center" valign="top">15 (NA)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
</tr>
<tr>
<td align="left" valign="top">HPV findings</td>
<td align="center" valign="top">979 (NA)</td>
<td align="center" valign="top">979 (NA)</td>
<td align="center" valign="top">204</td>
<td align="center" valign="top">775</td>
<td align="center" valign="top">440 (NA)</td>
<td align="center" valign="top">372</td>
<td align="center" valign="top">294 (NA)</td>
<td align="center" valign="top">219</td>
<td align="center" valign="top">219 (NA)</td>
<td align="center" valign="top">166</td>
<td align="center" valign="top">26 (NA)</td>
<td align="center" valign="top">18</td>
</tr>
<tr>
<td align="left" valign="top">Patients with &#x2265;1 HR-HPV type</td>
<td align="center" valign="top">&#x00A0;&#x00A0;419 (68.13)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;419 (89.15)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;173 (91.53)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;143 (92.26)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;92 (82.88)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;11 (73.33)</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">HPV type</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">16</td>
<td align="center" valign="top">&#x00A0;&#x00A0;155 (25.20)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;155 (32.98)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;51</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">&#x00A0;&#x00A0;78 (41.27)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;52</td>
<td align="center" valign="top">&#x00A0;&#x00A0;48 (30.97)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;30</td>
<td align="center" valign="top">&#x00A0;&#x00A0;25 (22.52)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;19</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4 (26.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
</tr>
<tr>
<td align="left" valign="top">18</td>
<td align="center" valign="top">&#x00A0;&#x00A0;30 (4.88)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;30 (6.38)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;10</td>
<td align="center" valign="top">&#x00A0;&#x00A0;20</td>
<td align="center" valign="top">&#x00A0;&#x00A0;12 (6.35)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;10</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (5.16)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9 (8.11)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (6.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
</tr>
<tr>
<td align="left" valign="top">31</td>
<td align="center" valign="top">&#x00A0;&#x00A0;83 (13.50)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;83 (17.66)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;21</td>
<td align="center" valign="top">&#x00A0;&#x00A0;62</td>
<td align="center" valign="top">&#x00A0;&#x00A0;35 (18.52)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;32</td>
<td align="center" valign="top">&#x00A0;&#x00A0;29 (18.71)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;18</td>
<td align="center" valign="top">&#x00A0;&#x00A0;19 (17.12)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;12</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">33</td>
<td align="center" valign="top">&#x00A0;&#x00A0;18 (2.93)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;18 (3.83)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;15</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (4.23)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5 (3.23)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4 (3.60)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (6.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
</tr>
<tr>
<td align="left" valign="top">35</td>
<td align="center" valign="top">&#x00A0;&#x00A0;14 (2.28)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;14 (2.98)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;13</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (4.23)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4 (2.58)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.80)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">39</td>
<td align="center" valign="top">&#x00A0;&#x00A0;29 (4.72)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;29 (6.17)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;21</td>
<td align="center" valign="top">&#x00A0;&#x00A0;12 (6.35)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;10</td>
<td align="center" valign="top">&#x00A0;&#x00A0;11 (7.10)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5 (4.50)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (6.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
</tr>
<tr>
<td align="left" valign="top">45</td>
<td align="center" valign="top">&#x00A0;&#x00A0;24 (3.90)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;24 (5.11)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;20</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (4.23)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (4.52)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (6.31)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (13.33)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
</tr>
<tr>
<td align="left" valign="top">51</td>
<td align="center" valign="top">&#x00A0;&#x00A0;65 (10.57)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;65 (13.83)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;11</td>
<td align="center" valign="top">&#x00A0;&#x00A0;54</td>
<td align="center" valign="top">&#x00A0;&#x00A0;36 (19.05)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;31</td>
<td align="center" valign="top">&#x00A0;&#x00A0;16 (10.32)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;13</td>
<td align="center" valign="top">&#x00A0;&#x00A0;12 (10.81)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (6.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
</tr>
<tr>
<td align="left" valign="top">52</td>
<td align="center" valign="top">&#x00A0;&#x00A0;36 (5.85)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;36 (7.66)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;30</td>
<td align="center" valign="top">&#x00A0;&#x00A0;15 (7.94)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;14</td>
<td align="center" valign="top">&#x00A0;&#x00A0;12 (7.74)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9 (8.11)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">53</td>
<td align="center" valign="top">&#x00A0;&#x00A0;41 (6.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;41 (8.72)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;37</td>
<td align="center" valign="top">&#x00A0;&#x00A0;16 (8.47)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;13</td>
<td align="center" valign="top">&#x00A0;&#x00A0;12 (7.74)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;12</td>
<td align="center" valign="top">&#x00A0;&#x00A0;11 (9.91)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;11</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (13.33)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
</tr>
<tr>
<td align="left" valign="top">56</td>
<td align="center" valign="top">&#x00A0;&#x00A0;47 (7.64)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;47 (10.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;14</td>
<td align="center" valign="top">&#x00A0;&#x00A0;33</td>
<td align="center" valign="top">&#x00A0;&#x00A0;18 (9.52)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;15</td>
<td align="center" valign="top">&#x00A0;&#x00A0;18 (11.61)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;12</td>
<td align="center" valign="top">&#x00A0;&#x00A0;11 (9.91)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">58</td>
<td align="center" valign="top">&#x00A0;&#x00A0;15 (2.44)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;15 (3.19)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;10</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6 (3.17)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4 (2.58)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4 (3.60)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (6.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">59</td>
<td align="center" valign="top">&#x00A0;&#x00A0;29 (4.72)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;29 (6.17)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;27</td>
<td align="center" valign="top">&#x00A0;&#x00A0;16 (8.47)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;16</td>
<td align="center" valign="top">&#x00A0;&#x00A0;10 (6.45)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3 (2.70)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">66</td>
<td align="center" valign="top">&#x00A0;&#x00A0;41 (6.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;41 (8.72)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;33</td>
<td align="center" valign="top">&#x00A0;&#x00A0;20 (10.58)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;18</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9 (5.81)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (7.21)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4 (26.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
</tr>
<tr>
<td align="left" valign="top">67</td>
<td align="center" valign="top">&#x00A0;&#x00A0;28 (4.55)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;28 (5.96)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;27</td>
<td align="center" valign="top">&#x00A0;&#x00A0;16 (8.47)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;15</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (5.16)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3 (2.70)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (6.67)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
</tr>
<tr>
<td align="left" valign="top">68</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6 (0.98)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6 (1.28)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.06)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.29)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.80)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">70</td>
<td align="center" valign="top">&#x00A0;&#x00A0;22 (3.58)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;22 (4.68)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;16</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (4.23)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (5.16)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6 (5.41)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">73</td>
<td align="center" valign="top">&#x00A0;&#x00A0;13 (2.11)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;13 (2.77)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;11</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (3.70)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.29)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4 (3.60)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">82</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5 (0.81)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5 (1.06)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.06)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3 (1.94)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">83</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9 (1.46)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9 (1.91)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5 (2.65)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.29)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.80)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
</tr>
<tr>
<td align="left" valign="top">Patients with &#x2265;1 LR-HPV type</td>
<td align="center" valign="top">212 (34.47)</td>
<td align="center" valign="top">212 (45.11)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;90 (47.62)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;59 (38.06)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">55 (49.55)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (53.33)</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">HPV type</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">6</td>
<td align="center" valign="top">21 (3.41)</td>
<td align="center" valign="top">21 (4.47)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9 (4.76)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (4.52)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">5 (4.50)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">11</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (1.14)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (1.49)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (0.53)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3 (1.94)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">1 (0.90)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (13.33)</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">42</td>
<td align="center" valign="top">&#x00A0;&#x00A0;85 (13.82)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;85 (18.09)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;18</td>
<td align="center" valign="top">67</td>
<td align="center" valign="top">&#x00A0;&#x00A0;38 (20.11)</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">&#x00A0;&#x00A0;18 (11.61)</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">28 (25.23)</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">1 (6.67)</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">44</td>
<td align="center" valign="top">17 (2.76)</td>
<td align="center" valign="top">17 (3.62)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (3.70)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6 (3.87)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">4 (3.60)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">54</td>
<td align="center" valign="top">32 (5.20)</td>
<td align="center" valign="top">32 (6.81)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">16 (8.47)</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (4.52)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">9 (8.11)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">61</td>
<td align="center" valign="top">13 (2.11)</td>
<td align="center" valign="top">13 (2.77)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (4.23)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.29)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">3 (2.70)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">62</td>
<td align="center" valign="top">24 (3.90)</td>
<td align="center" valign="top">24 (5.11)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5 (2.65)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">12 (7.74)</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">6 (5.41)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">1 (6.67)</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">72</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (0.16)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (0.21)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (0.65)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">81</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (1.30)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (1.70)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3 (1.59)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (1.29)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">3 (2.70)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">84</td>
<td align="center" valign="top">19 (3.09)</td>
<td align="center" valign="top">19 (4.04)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9 (4.76)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6 (3.87)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6</td>
<td align="center" valign="top">3 (2.70)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">1 (6.67)</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">87</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (0.16)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (0.21)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1 (0.53)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">90</td>
<td align="center" valign="top">26 (4.23)</td>
<td align="center" valign="top">26 (5.53)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9 (4.76)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (4.52)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">8 (7.21)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2 (13.33)</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">91</td>
<td align="center" valign="top">15 (2.44)</td>
<td align="center" valign="top">15 (3.19)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6 (3.17)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5 (3.23)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4</td>
<td align="center" valign="top">3 (2.70)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3</td>
<td align="center" valign="top">1 (6.67)</td>
<td align="center" valign="top">0</td>
</tr>
<tr>
<td align="left" valign="top">Single infection</td>
<td align="center" valign="top">204 (33.17)</td>
<td align="center" valign="top">204 (43.40)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;68 (35.98)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;75 (48.39)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">53 (47.75)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8 (53.33)</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Double infection</td>
<td align="center" valign="top">129 (20.98)</td>
<td align="center" valign="top">129 (27.45)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;57 (30.16)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;41 (26.45)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">27 (24.32)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4 (26.67)</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Multiple (&#x003E;1) infections</td>
<td align="center" valign="top">266 (43.25)</td>
<td align="center" valign="top">266 (56.60)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">121 (64.02)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;80 (51.61)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">58 (52.25)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7 (46.67)</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-4668"><p>Abnormal cytology consists of atypical squamous cell of undetermined significance, low-grade squamous intraepithelial lesion and high-grade squamous intraepithelial lesion. HPV, human papilloma virus; HR, high risk; LR, low risk; ST, single type; MT, multiple type; NA, not available.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
