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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.2020.11754</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-11754</article-id>
<article-categories>
<subj-group>
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Cervical cancer in low and middle-income countries</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Hull</surname><given-names>Rodney</given-names></name>
<xref rid="af1-ol-0-0-11754" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Mbele</surname><given-names>Mzwandile</given-names></name>
<xref rid="af1-ol-0-0-11754" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Makhafola</surname><given-names>Tshepiso</given-names></name>
<xref rid="af1-ol-0-0-11754" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Hicks</surname><given-names>Chindo</given-names></name>
<xref rid="af2-ol-0-0-11754" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Shao-Ming</given-names></name>
<xref rid="af3-ol-0-0-11754" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Reis</surname><given-names>Rui Manuel</given-names></name>
<xref rid="af4-ol-0-0-11754" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Mehrotra</surname><given-names>Ravi</given-names></name>
<xref rid="af5-ol-0-0-11754" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Mkhize-Kwitshana</surname><given-names>Zilungile</given-names></name>
<xref rid="af6-ol-0-0-11754" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author"><name><surname>Kibiki</surname><given-names>Gibson</given-names></name>
<xref rid="af7-ol-0-0-11754" ref-type="aff">7</xref></contrib>
<contrib contrib-type="author"><name><surname>Bates</surname><given-names>David O.</given-names></name>
<xref rid="af8-ol-0-0-11754" ref-type="aff">8</xref></contrib>
<contrib contrib-type="author"><name><surname>Dlamini</surname><given-names>Zodwa</given-names></name>
<xref rid="af1-ol-0-0-11754" ref-type="aff">1</xref>
<xref rid="c1-ol-0-0-11754" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-11754"><label>1</label>SA-MRC/UP Precision Prevention and Novel Drug Targets for HIV-Associated Cancers Extramural Unit, Pan African Cancer Research Institute, Faculty of Health Sciences, University of Pretoria, Hatfield 0028, South Africa</aff>
<aff id="af2-ol-0-0-11754"><label>2</label>Bioinformatics and Genomics Centre, School of Medicine, Department of Genetics, Louisiana State University, New Orleans, LA 70112, USA</aff>
<aff id="af3-ol-0-0-11754"><label>3</label>National Cancer Centre, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, P.R. China</aff>
<aff id="af4-ol-0-0-11754"><label>4</label>Molecular Oncology Research Centre, Barretos Cancer Hospital, Sao Paulo 14784-400, Brazil</aff>
<aff id="af5-ol-0-0-11754"><label>5</label>Indian Council of Medical Research, New Delhi, Delhi 110029, India</aff>
<aff id="af6-ol-0-0-11754"><label>6</label>School of Medicine, University of Kwazulu-Natal, Durban, Kwazulu-Natal 4013, South Africa</aff>
<aff id="af7-ol-0-0-11754"><label>7</label>East African Health Research Commission, East African Community, Bujumbura, Bujumbura Mairie 350, Burundi</aff>
<aff id="af8-ol-0-0-11754"><label>8</label>Queen&#x0027;s Medical Centre, University of Nottingham, Nottingham, Nottinghamshire NG7 2UH, UK</aff>
<author-notes>
<corresp id="c1-ol-0-0-11754"><italic>Correspondence to</italic>: Professor Zodwa Dlamini, SA-MRC/UP Precision Prevention and Novel Drug Targets for HIV-Associated Cancers Extramural Unit, Pan African Cancer Research Institute, Faculty of Health Sciences, University of Pretoria, 1 Bophelo Road, Hatfield 0028, South Africa, E-mail: <email>zodwa.Dlamini@up.ac.za</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>09</month>
<year>2020</year></pub-date>
<pub-date pub-type="epub">
<day>19</day>
<month>06</month>
<year>2020</year></pub-date>
<volume>20</volume>
<issue>3</issue>
<fpage>2058</fpage>
<lpage>2074</lpage>
<history>
<date date-type="received"><day>23</day><month>04</month><year>2019</year></date>
<date date-type="accepted"><day>16</day><month>10</month><year>2019</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Hull et al.</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Cervical cancer is a malignant tumour that occurs in the cervix and is classified into two histological types, adenocarcinoma and squamous cell carcinoma (SCC); SCC is more common and accounts for 70&#x0025; of all cases. In 2018 there were ~569,000 new cases of cervical cancer diagnosed worldwide and ~311,000 deaths were attributed to cervical cancer. Of these, between 84 and 90&#x0025; occurred in low- and middle-income countries (LMICs) such as South Africa, India, China and Brazil. The most common cause of cervical cancer is persistent infection caused by the sexually transmitted human papilloma virus. Other factors that contribute to the incidence of cervical cancer include geography, traditional practices and beliefs, the screening levels, socioeconomic status, healthcare access, public awareness, use of oral contraceptives, smoking and co-infection with HIV. An estimated 11 million women from LMICs will be diagnosed with cervical cancer in the next 10&#x2013;20 years. The aim of this review was to explore various types of genetic and epigenetic factors that influence the development, progression or suppression of cervical cancer.</p>
</abstract>
<kwd-group>
<kwd>cervical cancer</kwd>
<kwd>South Africa</kwd>
<kwd>India</kwd>
<kwd>Brazil</kwd>
<kwd>Tanzania</kwd>
<kwd>miRNA</kwd>
</kwd-group></article-meta>
</front>
<body>
<sec sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Cervical cancer is a malignant tumour of the cervix that can be divided into two histological types, adenocarcinoma (AC) and squamous cell carcinoma (SCC) (<xref rid="b1-ol-0-0-11754" ref-type="bibr">1</xref>). SCC is more common and has an occurrence rate of 70&#x0025; (<xref rid="b2-ol-0-0-11754" ref-type="bibr">2</xref>). AC originates from glandular cells that line the cervical canal (the endocervix), whereas SCC originates from squamous cells lining the outer part of the cervix that opens to the ectocervix. The region in which the squamous and the thin, flat glandular cells are located is termed the transformation zone, and the majority of tumours originate from this zone (<xref rid="b3-ol-0-0-11754" ref-type="bibr">3</xref>).</p>
<p>The most common cause for the occurrence of cervical cancer is a persisting infection with the sexually transmitted human papilloma virus (HPV) (<xref rid="b4-ol-0-0-11754" ref-type="bibr">4</xref>). HPV is accountable for 90&#x2013;100&#x0025; of cervical cancer cases amongst women, especially those &#x003C;35 years old (<xref rid="b5-ol-0-0-11754" ref-type="bibr">5</xref>). The types of HPV can be classified as either high-risk (HR) or low-risk in terms of their association with precancerous, benign or cancer lesions (<xref rid="b6-ol-0-0-11754" ref-type="bibr">6</xref>). HR HPV 16 and 18 subtypes are the most prevalent subtypes of HPV, which are responsible for 70&#x0025; of cervical cancer cases (<xref rid="b1-ol-0-0-11754" ref-type="bibr">1</xref>,<xref rid="b4-ol-0-0-11754" ref-type="bibr">4</xref>). In addition, previous studies have identified an association between the HPV 16 and 18 subtypes and malignant tumours of the penis, vulva and anus (<xref rid="b1-ol-0-0-11754" ref-type="bibr">1</xref>,<xref rid="b7-ol-0-0-11754" ref-type="bibr">7</xref>).</p>
<p>Globally, cervical cancer is the fourth most commonly diagnosed cancer amongst women, and it is especially common in low- and middle-income countries (LMICs) such as South Africa (SA), India, China and Brazil (<xref rid="b8-ol-0-0-11754" ref-type="bibr">8</xref>&#x2013;<xref rid="b10-ol-0-0-11754" ref-type="bibr">10</xref>). A total of ~569,000 new cases of cervical cancer and 311,000 deaths linked to cervical cancer were reported worldwide in 2018 (<xref rid="b1-ol-0-0-11754" ref-type="bibr">1</xref>,<xref rid="b8-ol-0-0-11754" ref-type="bibr">8</xref>). In total, 84&#x0025; of the new cases and between 87 and 90&#x0025; of the deaths occur in LMICs (<xref rid="b1-ol-0-0-11754" ref-type="bibr">1</xref>,<xref rid="b8-ol-0-0-11754" ref-type="bibr">8</xref>). However, HPV infections and associated malignancies are also common in regions of high socioeconomic status. In 2008, 80 million individuals were estimated to be infected with HPV in the USA (<xref rid="b11-ol-0-0-11754" ref-type="bibr">11</xref>). Despite this, thousands more women from LMICs die prematurely from cervical cancer compared with women from developed countries (<xref rid="b2-ol-0-0-11754" ref-type="bibr">2</xref>,<xref rid="b12-ol-0-0-11754" ref-type="bibr">12</xref>).</p>
<p>The aim of the current review was to discuss the types of genetic and epigenetic factors as well as socio-economic factors that influence the occurrence, progression or suppression of cervical cancer. These factors may assist in identifying potential prognostic and diagnostic tools (e.g. biomarkers) for the treatment of cervical cancer.</p>
</sec>
<sec>
<label>2.</label>
<title>Cervical cancer incidence in low- to middle-income countries</title>
<p>In 2010, Bruni <italic>et al</italic> (<xref rid="b5-ol-0-0-11754" ref-type="bibr">5</xref>) reported a 4-fold higher prevalence of cervical cancer in LMICs compared with that in developed countries. In countries ranked low in the Human Development Index, cervical cancer is ranked as the second most common type of cancer and the second highest cause of cancer-related mortality amongst women after breast cancer. In Africa, cervical cancer is the most commonly diagnosed type of cancer and the leading cause of cancer-related death among women (<xref rid="b13-ol-0-0-11754" ref-type="bibr">13</xref>). <xref rid="tI-ol-0-0-11754" ref-type="table">Table I</xref> and <xref rid="f1-ol-0-0-11754" ref-type="fig">Fig. 1</xref> (<xref rid="b14-ol-0-0-11754" ref-type="bibr">14</xref>&#x2013;<xref rid="b16-ol-0-0-11754" ref-type="bibr">16</xref>) present data from the GLOBOCAN 2018 report (<xref rid="b15-ol-0-0-11754" ref-type="bibr">15</xref>) and show the rate of cervical cancer in LMICs compared with that in developed countries. In Sub-Saharan Africa, the highest incidence of cervical cancer since 2012 was observed in women aged between 15 and 44 years (<xref rid="b15-ol-0-0-11754" ref-type="bibr">15</xref>,<xref rid="b17-ol-0-0-11754" ref-type="bibr">17</xref>,<xref rid="b18-ol-0-0-11754" ref-type="bibr">18</xref>).</p>
<p>Gonidia and Sartorius (<xref rid="b18-ol-0-0-11754" ref-type="bibr">18</xref>) used three mathematical models to predict the prevalence of HPV in Swaziland by applying age-specific cervical cancer incidence rates from GLOBOCAN 2012 to the Swazi female population in 2014 (<xref rid="b13-ol-0-0-11754" ref-type="bibr">13</xref>,<xref rid="b18-ol-0-0-11754" ref-type="bibr">18</xref>,<xref rid="b19-ol-0-0-11754" ref-type="bibr">19</xref>). The results revealed that the published incidence rates were a gross underestimation of the actual number of cervical cancer cases (<xref rid="b18-ol-0-0-11754" ref-type="bibr">18</xref>). Another model was used to regress age-standardised cervical cancer incidence (<xref rid="b20-ol-0-0-11754" ref-type="bibr">20</xref>) in Sub-Saharan African countries against HR HPV prevalence among women with normal cervical cytology (<xref rid="b21-ol-0-0-11754" ref-type="bibr">21</xref>). The model estimated that, among women with normal cervical cytology, the age-standardised cervical cancer incidence rate was 62.6 per 100,000 women; the prevalence of HPV-HIV among women with normal cytology exhibited a higher estimated age-standardised incidence of 101.1 per 100,000 women (<xref rid="b21-ol-0-0-11754" ref-type="bibr">21</xref>). South Africa has the highest age-standardised incidence of cervical cancer globally, with 32 cases per 100,000 women (<xref rid="b22-ol-0-0-11754" ref-type="bibr">22</xref>), whereas Paraguay (a middle-income country) has the highest incidence (34.2 per 100,000 women) and a mortality rate of 15.7 per 100,000 women (<xref rid="b21-ol-0-0-11754" ref-type="bibr">21</xref>,<xref rid="b23-ol-0-0-11754" ref-type="bibr">23</xref>). These results indicated that women infected with HIV may be at a higher risk of developing HPV infection, pre-invasive cervical disease and invasive cervical cancer (ICC) (<xref rid="b18-ol-0-0-11754" ref-type="bibr">18</xref>,<xref rid="b24-ol-0-0-11754" ref-type="bibr">24</xref>,<xref rid="b25-ol-0-0-11754" ref-type="bibr">25</xref>). Currently, South Africa has the highest incidence of HIV infection worldwide, with ~7.2 million cases in a population of 58 million (<xref rid="b26-ol-0-0-11754" ref-type="bibr">26</xref>); an estimated 13 million women are infected with HIV in sub-Saharan Africa (<xref rid="b25-ol-0-0-11754" ref-type="bibr">25</xref>,<xref rid="b27-ol-0-0-11754" ref-type="bibr">27</xref>). The treatment of cervical cancer in women infected with HIV presents with great difficulties. For example HIV infection increases the likelihood of the patient having a persistent HPV infection resulting in cervical abnormalities and cervical cancer (<xref rid="b7-ol-0-0-11754" ref-type="bibr">7</xref>). A compromised immune system and increased risk of HPV infection lowers the number of individuals that have been successfully treated in this population (<xref rid="b25-ol-0-0-11754" ref-type="bibr">25</xref>). The cancer burden in developing countries such as Swaziland is increased due to late diagnosis, advanced stages of HIV and HPV infections when the cancer is diagnosed, lack or inaccessibility of treatment, lack of treatment facilities, and logistic and cultural obstacles to treatment (<xref rid="b28-ol-0-0-11754" ref-type="bibr">28</xref>), which result in poor prognosis (<xref rid="b14-ol-0-0-11754" ref-type="bibr">14</xref>).</p>
<p>These factors, which are common to the majority of developing countries, resulted in the identification of an association between cervical cancer and the level of development (i.e. the socioeconomic status) of a country and its individuals. Cervical cancer is significantly associated with the geographical area; the highest incidence rates are prevalent in low-income countries (<xref rid="b10-ol-0-0-11754" ref-type="bibr">10</xref>). The incidence in 2013 was 24&#x0025; in sub-Saharan Africa, 21&#x0025; in Eastern Europe and 16&#x0025; in Latin America (<xref rid="b29-ol-0-0-11754" ref-type="bibr">29</xref>). A prevalence of &#x003E;30&#x0025; was also reported in Eastern Africa and the Caribbean (<xref rid="b30-ol-0-0-11754" ref-type="bibr">30</xref>). Southern Africa has the highest prevalence of HIV (19.9&#x0025; out of a population of 66,401,000), and the second highest cervical cancer incidence (18.4&#x0025; out of a total population of 668,319 women with cancer) after Asia and the Pacific (53.1&#x0025;) (<xref rid="b27-ol-0-0-11754" ref-type="bibr">27</xref>). This suggested that Southern Africa might have a leading number of HIV-associated cervical cancer cases.</p>
<sec>
<title/>
<sec>
<title>Countries representing specific areas</title>
<p>As previously stated, areas where cervical cancer is the leading cause of death amongst women include Sub-Saharan Africa, Melanesia (Western Pacific), South Central and South East Asia, the Caribbean and Latin America (<xref rid="b31-ol-0-0-11754" ref-type="bibr">31</xref>). In wealthier developed countries, it is recommended that screening for cervical cancer with the Papanicolaou (Pap) smear is initiated at 21 years and repeated every year until the patient is 65 years old (<xref rid="b32-ol-0-0-11754" ref-type="bibr">32</xref>). Pap smears should be performed in conjunction with HPV screening; if the test reveals no signs of cervical cancer but presence of HPV, genotyping of the HPV should be performed, which may either be followed by a colposcopy, or HPV and cytology must be repeated at a later stage (<xref rid="b33-ol-0-0-11754" ref-type="bibr">33</xref>). <xref rid="tII-ol-0-0-11754" ref-type="table">Table II</xref> presents the age-standardised rate (ASR) which is the number per 100,000 people diagnosed with cervical cancer in the four countries, which will be discussed below. These four LMICs (South Africa, Tanzania, India and Brazil) are also compared against China Despite its large number of new cervical cancer cases, cervical cancer only comprises 2.5&#x0025; of all cancer cases (<xref rid="b15-ol-0-0-11754" ref-type="bibr">15</xref>).</p>
</sec>
<sec>
<title>South Africa</title>
<p>The United Nations defines South Africa as an upper middle-income country with unequal distribution of wealth and a high rate of poverty (<xref rid="b34-ol-0-0-11754" ref-type="bibr">34</xref>). The 2014 South African National Cancer Registry statistics (<xref rid="b35-ol-0-0-11754" ref-type="bibr">35</xref>) for cervical cancer cases and deaths reported that the number of new observed cases in South African women was 5,735 in 2014, accounting for 16.17&#x0025; of all cancers diagnosed in South African women; the ASR was 22.56 per 100,000 women (<xref rid="b35-ol-0-0-11754" ref-type="bibr">35</xref>). Analysis of the ASR and new cases by ethnic group revealed that the black population was more affected than any other group (<xref rid="tIII-ol-0-0-11754" ref-type="table">Table III</xref>). The &#x2018;white&#x2019; and &#x2018;other&#x2019; population groups, which includes those of mixed ancestry, had &#x003C;10&#x0025; of the number of cases and an ASR &#x003C;50&#x0025; compared with the black population. The Asian population had the lowest number of cases and the lowest ASR. This population group is also the most economically disadvantaged and has poor access to healthcare (<xref rid="b36-ol-0-0-11754" ref-type="bibr">36</xref>). Since South Africa has the highest infection rate of HIV and the largest anti-retroviral program in the world (<xref rid="b37-ol-0-0-11754" ref-type="bibr">37</xref>), it is important to consider the influence of these two factors on cervical cancer. The total levels of HIV-related cancers have decreased following the introduction of anti-retroviral therapy; despite this, the mortality due to Acquired Immune Deficiency Syndrome (AIDS)-related illnesses is still high and has contributed to a lower life expectancy in South Africa (<xref rid="b38-ol-0-0-11754" ref-type="bibr">38</xref>). HIV is associated with abnormal cervical cytology and higher levels of HPV or numerous HPV types (<xref rid="b34-ol-0-0-11754" ref-type="bibr">34</xref>). The high prevalence of HIV in South Africa was predicted to lead to a marked increase in the incidence of cervical cancer, as it is one of the AIDS-defining illnesses, but such an increase has not occurred. Initially, prior to the introduction of anti-retroviral treatment, this was due to women succumbing to HIV/AIDS before they could develop cervical cancer; following the introduction of retroviral therapy, a decrease in the rates of all AIDS-defining cancers affected the numbers of cervical cancer cases (<xref rid="b36-ol-0-0-11754" ref-type="bibr">36</xref>).</p>
<p>The screening policy for cervical cancer in South Africa was established in 2000 and involves three Pap smears per lifetime starting at 30 years of age and occurring at 10-year intervals. The smear is repeated after 12 months if any abnormality is observed. If the abnormality persists or if a high-grade lesion is identified, the patient is referred for a colposcopy (<xref rid="b39-ol-0-0-11754" ref-type="bibr">39</xref>).</p>
<p>HPV is common among young, sexually active individuals; the infection normally clears without treatment, but recurrence is also common. Persistent infection with HR HPV genotypes leads to precancerous lesions and ultimately cervical carcinoma (<xref rid="b39-ol-0-0-11754" ref-type="bibr">39</xref>). Due to the high prevalence of transient HPV infection in young women among certain population groups, the usefulness of HPV screening as a tool for identifying those at risk of cervical cancer is limited (<xref rid="b34-ol-0-0-11754" ref-type="bibr">34</xref>). One preventive strategy for HPV infection used in South Africa is the introduction of the HPV vaccine. In 2014, a national school-based program for the HPV bivalent vaccine was introduced in all public schools, targeting girls in grade 4 (aged &#x2265;9 years old) with a two-dose (6 months apart) schedule (<xref rid="b40-ol-0-0-11754" ref-type="bibr">40</xref>). Although a high vaccination rate was achieved in these school based programs, the effect on HPV infection rates is yet to be elucidated.</p>
</sec>
<sec>
<title>Tanzania</title>
<p>Cervical cancer accounts for 40&#x0025; of all cancer cases diagnosed in women in East Africa, with the highest ASR (50.6 per 100,000 women) in Tanzania. Tanzania also ranks 13<sup>th</sup> on prevalence of HIV infection worldwide (<xref rid="b15-ol-0-0-11754" ref-type="bibr">15</xref>). Since women infected with HIV are at an increased risk of developing cervical cancer, it is important that they are screened early and often (<xref rid="b23-ol-0-0-11754" ref-type="bibr">23</xref>,<xref rid="b41-ol-0-0-11754" ref-type="bibr">41</xref>). To combat cervical cancer, Tanzania has introduced a &#x2018;screen and treat&#x2019; policy; the most common form of screening is visual inspection of the cervix with the naked eye following the application of acetic acid, abbreviated as visual inspection with acetic acid (VIA) (<xref rid="b42-ol-0-0-11754" ref-type="bibr">42</xref>). The acetic acid solution swabbed on the surface of the cervix (cervical epithelium) turns pre-cancerous lesions white (<xref rid="b43-ol-0-0-11754" ref-type="bibr">43</xref>). Following a positive diagnosis, the lesions are immediately treated by cryotherapy (<xref rid="b41-ol-0-0-11754" ref-type="bibr">41</xref>). Similarly to other low-income, developing countries, the rates of HPV infection are high in Tanzania; this has led to the Tanzanian Ministry of Health to initiate a school-based HPV vaccination program (<xref rid="b44-ol-0-0-11754" ref-type="bibr">44</xref>). Other factors that contribute to the high incidence of cervical cancer in Tanzania include; resource allocation (in term of distribution of trained personnel, funds and equipment in urban and rural areas nationwide), lack of resources to fulfil the needs of the entire population, sociocultural influence and a lack of political will (where leaders do not prioritise healthcare programmes and choose to divert funds and resources from screening and treatment programmes) (<xref rid="b45-ol-0-0-11754" ref-type="bibr">45</xref>). Sociocultural factors such as folklore and myths around cervical cancer screening influence the willingness of people to undergo screening (<xref rid="b41-ol-0-0-11754" ref-type="bibr">41</xref>).</p>
</sec>
<sec>
<title>India</title>
<p>In 2015, cervical cancer was the second most common cancer amongst women in India; an estimated 132,314 new cases were diagnosed and 73,337 patients succumbed to cervical cancer (<xref rid="b46-ol-0-0-11754" ref-type="bibr">46</xref>). Due to India&#x0027;s large population of 1.2 billion, this accounted for nearly one-fifth of all cervical cancer cases worldwide (<xref rid="b47-ol-0-0-11754" ref-type="bibr">47</xref>). It is difficult to determine an accurate ASR for India, as different cancer registries cover different areas, and ASRs vary between 9 and 40 per 100,000 women, depending on the region (<xref rid="b47-ol-0-0-11754" ref-type="bibr">47</xref>). India spends 0.9&#x0025; of its gross domestic product (GDP) on healthcare, and no organised cervical cancer screening programs are available (<xref rid="b48-ol-0-0-11754" ref-type="bibr">48</xref>). Risk factors associated with cervical cancer in India include illiteracy, lack of toilets or running water inside the house, not washing genitals after sexual intercourse, age at first sexual intercourse &#x003C;15 years, multiple lifetime sexual partners, widowhood and HPV (<xref rid="b49-ol-0-0-11754" ref-type="bibr">49</xref>). The prevalence of HR HPV in India ranges between 7 and 13&#x0025;, and HPV 16 and 18 are the most common types of HPV in India (<xref rid="b50-ol-0-0-11754" ref-type="bibr">50</xref>). This varies by region and is also possibly influenced by culture; however, unlike in developed countries, the number of young women diagnosed with HPV is not higher than that of older women (<xref rid="b47-ol-0-0-11754" ref-type="bibr">47</xref>), suggesting that the infection is equally distributed across all age groups.</p>
<p>HPV testing is cheap, objective and reproducible in rural areas in India (<xref rid="b50-ol-0-0-11754" ref-type="bibr">50</xref>). However, the use of HPV testing in a &#x2018;screen and treat strategy&#x2019; can cause problems, as the majority of HPV infections in young women do not result in cervical cancer (<xref rid="b47-ol-0-0-11754" ref-type="bibr">47</xref>). HPV cytology-based cervical cancer screening is not possible for the entire population of India due to its large size, as well as a lack of resources, trained staff and facilities. This has led to the adoption of other low-cost, easy-to-perform screening methods; VIA is a popular option. Variants of this method include VIA with magnification or with Lugol&#x0027;s iodine. These tests have been demonstrated to be sensitive but not specific (<xref rid="b46-ol-0-0-11754" ref-type="bibr">46</xref>). The HPV vaccine is not widely available in India at present, mainly due to its cost. A study of the willingness of parents to vaccinate their daughters was performed in Eastern India and reported that, initially, only 40&#x0025; of parents agreed to vaccinate their children; this increased to 80&#x0025; following a short education session about the vaccine (<xref rid="b50-ol-0-0-11754" ref-type="bibr">50</xref>). The most common reason stated for refusing the vaccine was the safety of the vaccine, followed by the perception of the vaccine as permission to engage in sexual activity (<xref rid="b51-ol-0-0-11754" ref-type="bibr">51</xref>). Effective vaccination against HPV 16 and 18 in India is expected to result in a 75&#x0025; decrease in the number of cervical cancer cases (<xref rid="b47-ol-0-0-11754" ref-type="bibr">47</xref>).</p>
</sec>
<sec>
<title>Brazil</title>
<p>The poorest regions of Latin America with the lowest resources have high rates of cervical cancer, possibly due to economic, social, educational and geographical factors that limit access to cervical cancer screening (<xref rid="b52-ol-0-0-11754" ref-type="bibr">52</xref>). Brazil is one of the few countries that have implemented an organised screening program (<xref rid="b52-ol-0-0-11754" ref-type="bibr">52</xref>). It is predicted that &#x003E;8,079 women die every year in Brazil from cervical cancer (<xref rid="b15-ol-0-0-11754" ref-type="bibr">15</xref>). HPV infections have been estimated to affect &#x003E;5.7&#x0025; of women in Brazil and account for 68&#x0025; of cervical cancer cases (<xref rid="b53-ol-0-0-11754" ref-type="bibr">53</xref>). Brazil has a long history of cervical cancer screening programs, the first of which was initiated in 1956 (<xref rid="b54-ol-0-0-11754" ref-type="bibr">54</xref>). The screening strategy for preventing cervical cancer in Brazil targets women between 25 and 64 years of age. Pap smears are recommended to be repeated every 3 years (<xref rid="b55-ol-0-0-11754" ref-type="bibr">55</xref>). However, similarly to other developing nations, there is a shortage of resources, especially in trained healthcare professionals, that limits the coverage of the population using cytology-based pap-smear screening. The physical size of the country is another factor limiting screening coverage, which is further complicated by the large population, as there are &#x003E;64 million women aged &#x003E;15 years in Brazil (<xref rid="b55-ol-0-0-11754" ref-type="bibr">55</xref>). To lower HPV infection rates and control the rates of cervical cancer, the National Health System of Brazil has adopted the quadrivalent HPV vaccine as part of the national vaccination program; the vaccine was adopted in 2014 and is offered to girls between 9 and 13 years of age, and to women infected with HIV between the ages of 9 and 26 years.</p>
</sec>
</sec>
</sec>
<sec>
<label>3.</label>
<title>Factors that contribute to the development of cervical cancer</title>
<sec>
<title/>
<sec>
<title>Epigenetic factors</title>
<p>Several factors other than persistent HPV infection contribute to the development and/or progression of cervical cancer, including smoking tobacco (including cigarettes, cigars, pipes, hookah and shisha), high parity, continuous use of oral hormonal contraceptives, promiscuity and co-infection with HIV (<xref rid="f2-ol-0-0-11754" ref-type="fig">Fig. 2</xref>) (<xref rid="b1-ol-0-0-11754" ref-type="bibr">1</xref>,<xref rid="b16-ol-0-0-11754" ref-type="bibr">16</xref>,<xref rid="b56-ol-0-0-11754" ref-type="bibr">56</xref>). Of those, high parity and tobacco smoking are the most important contributing factors, as they mediate HR HPV infection progression, which results in high rates of cervical pre-cancer and cancer (<xref rid="b57-ol-0-0-11754" ref-type="bibr">57</xref>&#x2013;<xref rid="b59-ol-0-0-11754" ref-type="bibr">59</xref>). Chatzistamatiou <italic>et al</italic> (<xref rid="b58-ol-0-0-11754" ref-type="bibr">58</xref>) identified a significant association between smoking and HR HPV DNA positivity, but not between smoking and the viral HPV 16 E7 oncoprotein in HPV-associated carcinogenesis (<xref rid="b58-ol-0-0-11754" ref-type="bibr">58</xref>). In addition, the study displayed a higher odds ratio for smokers and ex-smokers compared with that for non-smokers (<xref rid="b58-ol-0-0-11754" ref-type="bibr">58</xref>). In contrast to non-smokers, continuous cigarette smokers have previously been reported to exhibit higher risk of developing SCC; among women with an increased smoking intensity, those who start smoking at a young age are at higher risk of developing SCC but not AC (<xref rid="b60-ol-0-0-11754" ref-type="bibr">60</xref>,<xref rid="b61-ol-0-0-11754" ref-type="bibr">61</xref>). However, Haverkos (<xref rid="b62-ol-0-0-11754" ref-type="bibr">62</xref>) observed no significant association between cervical cancer and smoking. Therefore, the influence of smoking on increasing the risk of developing cervical cancer remains controversial. However, previous studies have provided evidence of cigarette smoking derivatives acting as causative agents of cervical and lung cancer (<xref rid="b61-ol-0-0-11754" ref-type="bibr">61</xref>,<xref rid="b63-ol-0-0-11754" ref-type="bibr">63</xref>).</p>
<p>Co-infection with <italic>Chlamydia trachomatis</italic> and herpes simplex virus type-2, immunosuppression, and nutritional challenges have also been demonstrated to contribute to cervical cancer development and progression (<xref rid="b1-ol-0-0-11754" ref-type="bibr">1</xref>,<xref rid="b16-ol-0-0-11754" ref-type="bibr">16</xref>). Several genetic and immunological host and viral factors are also predicted as contributing factors (<xref rid="b64-ol-0-0-11754" ref-type="bibr">64</xref>). Goodson <italic>et al</italic> (<xref rid="b65-ol-0-0-11754" ref-type="bibr">65</xref>) identified &#x003E;80 environmental chemicals that serve roles in dysregulating host pathways in carcinogenesis. Environmental risk factors for cervical cancer also include compounds associated with cigarette smoke, such as coal tar derivatives, tar-based vaginal sanitary products and smoke inhaled from biomass-burning stoves (<xref rid="b62-ol-0-0-11754" ref-type="bibr">62</xref>). These environmental factors can activate signalling pathways responsible for the carcinogenesis of HPV-related cancers, including SCC, in low-income countries (<xref rid="b62-ol-0-0-11754" ref-type="bibr">62</xref>). These pathways are similar to those known as the hallmarks of cancer, and include hyperproliferative signalling, insensitivity to growth-factor signals, evasion of apoptosis, continuous angiogenesis, genomic unsteadiness, mutation, advanced inflammation and the disruption of normal metabolic functions (<xref rid="b65-ol-0-0-11754" ref-type="bibr">65</xref>).</p>
<p>In the past decade, the World Health Organization (WHO) reported that billions of individuals from developing regions such as Africa still utilize coal, crop residue, dung and wood for heating and cooking purposes. This is unfortunate because biomass-burning stoves are universally known as a vital source of bio-carcinogens (<xref rid="b65-ol-0-0-11754" ref-type="bibr">65</xref>). Therefore, women exposed to excessive smoke from these stoves are at greater risk of developing cervical cancer (<xref rid="b16-ol-0-0-11754" ref-type="bibr">16</xref>,<xref rid="b66-ol-0-0-11754" ref-type="bibr">66</xref>). This was further verified by Bennett <italic>et al</italic> (<xref rid="b67-ol-0-0-11754" ref-type="bibr">67</xref>), who identified an association between the use of solid fuel and cervical cancer.</p>
<p>Coaltar derivatives, such as Lysol, are sometimes used in vaginal sanitary products. The first evidence to associate Lysol usage with cervical cancer was in 1931 when it was noted that the majority of a group of New York women with cervical cancer were continuous users of Lysol sanitizers (<xref rid="b62-ol-0-0-11754" ref-type="bibr">62</xref>). Lysol is a tar-based derivative, which was initially used in animal research for carcinogenesis (<xref rid="b68-ol-0-0-11754" ref-type="bibr">68</xref>). A later study amongst Californian women found a significant association between the use of Lysol and cervical cancer (<xref rid="b69-ol-0-0-11754" ref-type="bibr">69</xref>). Goodson <italic>et al</italic> (<xref rid="b65-ol-0-0-11754" ref-type="bibr">65</xref>) also reported that chemical constituents of tobacco (e.g. benzyl pyrenes, polycyclic aromatics and tobacco-based nitrosamines) and tar-based vaginal sanitizers could affect the development of cancer, including cervical cancer, since they penetrate cells and tissues, and stimulate vital carcinogenic pathways. The precise understanding of these pathways may lead to more effective immunotherapeutic strategies and control measures of HPV-related tumours that are usually induced in HR populations exposed to multiple carcinogens due to a low socioeconomic background.</p>
</sec>
<sec>
<title>Role of genetic polymorphisms in cervical cancer</title>
<p>Genetic polymorphisms are single nucleotide base changes that occur between two genomes as a deletion, insertion or a substitution of a single nucleotide. These alterations can either be insignificant due to being silent, or they can be highly significant, as they can lead to different types of disorders, such as cervical cancer (<xref rid="b70-ol-0-0-11754" ref-type="bibr">70</xref>). HPV is considered to be the primary contributory factor to cervical cancer tumour angiogenesis, although a review of previous studies (<xref rid="b71-ol-0-0-11754" ref-type="bibr">71</xref>) reported additional contributors, including the regulation of long non-coding RNAs (lncRNAs) and/or their gene polymorphisms, such as polymorphisms in toll-like receptor (TLR) genes (<xref rid="b72-ol-0-0-11754" ref-type="bibr">72</xref>).</p>
<p>LncRNA LINC00673 has been implicated in the development and prognosis of multiple tumours, including SCC (<xref rid="b73-ol-0-0-11754" ref-type="bibr">73</xref>). In 2018, Wang and Luo (<xref rid="b72-ol-0-0-11754" ref-type="bibr">72</xref>) demonstrated that the genetic variant of LINC00673 rs11655237 increases vulnerability to cervical cancer in the Chinese population, suggesting that this gene variant is associated with the risk of cervical cancer The study further suggested that downregulation of the transcription levels of LINC00673 rs11655237 in cervical tissues may be the main reason for the association between the genetic variant rs11655237 and the risk of cervical cancer. In addition, a G-to-A nucleotide substitution in the rs11655237 gene variant of LINC00673 may be the cause of dysregulated transcription, as it generates a target locus for microRNA (miRNA or miR)-1231 attachment, which in turn inhibits LINC00673 (<xref rid="b60-ol-0-0-11754" ref-type="bibr">60</xref>,<xref rid="b74-ol-0-0-11754" ref-type="bibr">74</xref>). The A allele and the AA/AG genotype of the rs11655237 gene variant have been demonstrated to be associated with the risk of developing cervical cancer, since the gene variant alters the transcription of LINC00673, which is vital for tumour suppression (<xref rid="f3-ol-0-0-11754" ref-type="fig">Fig. 3</xref>) (<xref rid="b72-ol-0-0-11754" ref-type="bibr">72</xref>).</p>
<p>In 2018, Weng <italic>et al</italic> (<xref rid="b75-ol-0-0-11754" ref-type="bibr">75</xref>) investigated the association between the lncRNA HOX transcript antisense intergenic RNA (HOTAIR) genetic polymorphisms and the recurrence of cancer, as well as the survival rates of patients with cervical cancer. Although no significant association was observed between HOTAIR gene polymorphisms and patient clinicopathological characteristics, the study revealed that GG-genotype carriers in the HOTAIR rs920778 gene variant exhibited high risk of cervical cancer recurrence, low predicted survival due to stomal and pelvic lymph node metastasis, and increased mortality compared with carriers of the AA/AG genotype (<xref rid="b74-ol-0-0-11754" ref-type="bibr">74</xref>&#x2013;<xref rid="b76-ol-0-0-11754" ref-type="bibr">76</xref>). Although the AA genotype is not associated with cervical cancer, it is significantly associated with gastric and oesophageal squamous cancer in Chinese populations (<xref rid="b77-ol-0-0-11754" ref-type="bibr">77</xref>). Therefore, the prognosis of a patient may depend on the impact of HOTAIR expression on the rs920778 gene variant. In addition, since the HOTAIR gene polymorphism rs920778 has insignificant associations with cervical cancer carcinogenesis, it cannot be described as a potential predictive factor for patient prognosis (<xref rid="b75-ol-0-0-11754" ref-type="bibr">75</xref>).</p>
<p>A previous meta-analysis conducted by Yang <italic>et al</italic> (<xref rid="b78-ol-0-0-11754" ref-type="bibr">78</xref>) identified an association between TLR gene polymorphisms and the risk of cervical cancer. The results revealed that white populations carrying the C allele of the TLR 9 1486 T/C gene polymorphism and the A allele of the TLR 9 G2848A gene polymorphism were significantly associated with an increased risk of developing cervical cancer (<xref rid="b78-ol-0-0-11754" ref-type="bibr">78</xref>,<xref rid="b79-ol-0-0-11754" ref-type="bibr">79</xref>). TLR 9 has been previously reported to promote cervical intraepithelial neoplasia (CIN) progression in women from Tunisia (<xref rid="b80-ol-0-0-11754" ref-type="bibr">80</xref>). These results suggested that TLR 9 may represent a potential biomarker for the malignant transformation of cervical squamous cells. The ability of genes and epigenetic factors to act as contributors of cervical cancer carcinogenesis, and the identification of these factors indicate their potential use in diagnosis and treatment.</p>
</sec>
<sec>
<title>Role of alternative splicing in cervical cancer</title>
<sec>
<title>Alternative splicing mechanisms</title>
<p>Alternative splicing is a process by which introns are excised (i.e. &#x2018;spliced&#x2019;) from pre-mRNA to allow the assembly of exons for translation into a protein (<xref rid="b81-ol-0-0-11754" ref-type="bibr">81</xref>). The alternative splicing process is imperative to all eukaryotic organisms for the production of multiple alternative isoforms, which are needed for the functional diversity of proteins (<xref rid="b82-ol-0-0-11754" ref-type="bibr">82</xref>,<xref rid="b83-ol-0-0-11754" ref-type="bibr">83</xref>). Alternative splicing can undergo several interruptions, such as disturbances associated with miRNA expression, which may lead to several human disorders, including cancer (<xref rid="b84-ol-0-0-11754" ref-type="bibr">84</xref>,<xref rid="b85-ol-0-0-11754" ref-type="bibr">85</xref>). In addition, Skotheim and Nees (<xref rid="b86-ol-0-0-11754" ref-type="bibr">86</xref>) have reported that cellular activities such as cell proliferation, motility and drug responsiveness can be negatively affected by the expression of alternative splice variants and tumour-specific variants.</p>
</sec>
<sec>
<title>Alternative splicing abnormalities</title>
<p>Abnormalities in alternative splicing have been demonstrated to lead to the development of multiple human diseases such as cancer, heart disease, and age-associated diseases, HIV-associated nephropathy and autoimmune disorders (<xref rid="b87-ol-0-0-11754" ref-type="bibr">87</xref>). Aberrant alternative splicing is usually a result of genomic point mutations that occur in splicing factors or elements that result in transcriptome alterations such as exon alteration, intron retention and gene expression changes (<xref rid="f4-ol-0-0-11754" ref-type="fig">Fig. 4</xref>) (<xref rid="b83-ol-0-0-11754" ref-type="bibr">83</xref>). These mutations and alterations normally affect multiple protein pathways and mRNA expression (<xref rid="b83-ol-0-0-11754" ref-type="bibr">83</xref>,<xref rid="b88-ol-0-0-11754" ref-type="bibr">88</xref>). The influence of aberrant alternative splicing in the majority of cancer types results from splicing factor mutations in cancer genes or transcripts of non-mutated genes (<xref rid="b89-ol-0-0-11754" ref-type="bibr">89</xref>). Genome-wide associated studies have demonstrated the association of the splicing factor 3A subunit 1 (SF3A1) gene (which is located on 22q12.3) with several diseases, including lung and breast cancer, as well as inflammatory bowel disease (<xref rid="b90-ol-0-0-11754" ref-type="bibr">90</xref>,<xref rid="b91-ol-0-0-11754" ref-type="bibr">91</xref>). Mutations in the SF3A1 coding region are associated with susceptibility to multiple types of cancer, including oesophageal AC, osteosarcoma, myxoid liposarcoma, synovial sarcoma, ovarian carcinoma, glioblastoma, endometrial, lung, breast and gastric cancer (<xref rid="b92-ol-0-0-11754" ref-type="bibr">92</xref>).</p>
<p>Expression studies by Liu <italic>et al</italic> (<xref rid="b93-ol-0-0-11754" ref-type="bibr">93</xref>) demonstrated the ability of HR HPV oncoproteins E6 and E7 to induce the expression of serine- and arginine-rich splicing factor 10 (SRSF10), which is crucial for HPV 16- and 18-positive cervical carcinogenesis. Increased levels of SRSF10 were induced by E2F transcription factor 1 (<xref rid="b93-ol-0-0-11754" ref-type="bibr">93</xref>). The synthesis of the membrane form of interleukin-1-receptor accessory protein (mIL1RAP) is controlled by SRSF10 through the modulation of alternative splicing of the IL1RAP exon 13. This gives rise to the interleukin 1&#x03B2; isoform, which induced NF-&#x03BA;B transcription of the CD47 receptor. This cell surface molecule signals cells to escape macrophage phagocytosis (<xref rid="f5-ol-0-0-11754" ref-type="fig">Fig. 5</xref>) (<xref rid="b93-ol-0-0-11754" ref-type="bibr">93</xref>). The study further revealed a significant association amongst SRSF10, mIL1RAP and CD47 expression in tissues of the uterus (<xref rid="b93-ol-0-0-11754" ref-type="bibr">93</xref>). This revealed that alternative splicing, inflammatory molecules and immune scrutiny served crucial roles in HPV 16/18-positive carcinogenesis (<xref rid="b93-ol-0-0-11754" ref-type="bibr">93</xref>,<xref rid="b94-ol-0-0-11754" ref-type="bibr">94</xref>). These results suggested that proteins associated with cervical cancer need to be researched for splice site abnormalities, since this method can also be used as a screening tool for the disease.</p>
</sec>
<sec>
<title>TLR mechanisms that lead to cervical cancer</title>
<p>TLRs are pattern recognition receptors that function in innate immune responses by identifying conserved components of microorganisms known as pathogen-associated molecular patterns. Previous studies have indicated that TLRs are expressed in tumour cells and in the tumour microenvironment of various types of cancer (<xref rid="b95-ol-0-0-11754" ref-type="bibr">95</xref>). TLR 3 (<xref rid="b96-ol-0-0-11754" ref-type="bibr">96</xref>), TLR 4 (<xref rid="b96-ol-0-0-11754" ref-type="bibr">96</xref>), TLR 5 and TLR 9 (<xref rid="b96-ol-0-0-11754" ref-type="bibr">96</xref>) have been identified in cervical cancer tissues, indicating that they may be involved in the occurrence of the disease. TLRs are activated by ligands such as lipids, and have been demonstrated to serve an important role in the development and progression of cervical cancer (<xref rid="b97-ol-0-0-11754" ref-type="bibr">97</xref>). These protein receptors are also expressed in other tumours (<xref rid="b98-ol-0-0-11754" ref-type="bibr">98</xref>), indicating that they may bind different ligands (<xref rid="tIV-ol-0-0-11754" ref-type="table">Table IV</xref>). TLRs are highly expressed in immune and cancerous cells (<xref rid="b80-ol-0-0-11754" ref-type="bibr">80</xref>,<xref rid="b99-ol-0-0-11754" ref-type="bibr">99</xref>). Persisting HPV infection is the major cause of cervical cancer; however, alterations in expression levels of TLRs are suspected to also serve a significant role in HPV infection-induced cervical cancer (<xref rid="b80-ol-0-0-11754" ref-type="bibr">80</xref>). In support of this, Fehri <italic>et al</italic> (<xref rid="b80-ol-0-0-11754" ref-type="bibr">80</xref>) analysed the expression of TLR 9 in 53 samples from Sian women with ICC, CIN, condyloma and normal cervical tissues; the results revealed statistically significant differences in CIN and ICC between condyloma and normal healthy tissues. Almost all patients with ICC exhibited a higher level of TLR 9 expression in tumour epithelial cells, whereas between 50&#x2013;80&#x0025; of patients with CIN and condyloma exhibited weaker TLR expression (<xref rid="b80-ol-0-0-11754" ref-type="bibr">80</xref>). These results supported previous studies on Korean, Chinese and Canadian populations, which also revealed low TLR 9 expression in CIN and high TLR 9 expression in ICC (<xref rid="b100-ol-0-0-11754" ref-type="bibr">100</xref>,<xref rid="b101-ol-0-0-11754" ref-type="bibr">101</xref>). High expression levels of TLR 9 were mainly observed in the absence of HPV and/or its clearance (<xref rid="b102-ol-0-0-11754" ref-type="bibr">102</xref>). Hasan <italic>et al</italic> (<xref rid="b103-ol-0-0-11754" ref-type="bibr">103</xref>,<xref rid="b104-ol-0-0-11754" ref-type="bibr">104</xref>) reported that HPV subtype 16 proteins E6 and E7 dysregulated TLR 9 expression and functions. This suggested that HPV may use TLR 9 dysregulation to suppresses its function of viral DNA recognition, as TLR 9 is a crucial recognition receptor for DNA-introducing pathogens, particularly DNA viruses; in addition, it promotes inflammatory and immune responses (<xref rid="b99-ol-0-0-11754" ref-type="bibr">99</xref>,<xref rid="b105-ol-0-0-11754" ref-type="bibr">105</xref>). The results indicated the potential role of TLR 9 in CIN progression among women from various populations, suggesting that it may be used as a biomarker for SCC transformation.</p>
<p>TLR 9 signalling induces tumour progression, survival and immune evasion in various cancer types, including cervical cancer (<xref rid="b106-ol-0-0-11754" ref-type="bibr">106</xref>). However, whether TLR 9 promotes or suppresses tumour growth remains unknown. Better understanding of the TLR 9 signalling pathway in cervical cancer may aid in the development of new immunotherapeutic strategies (<xref rid="b80-ol-0-0-11754" ref-type="bibr">80</xref>).</p>
<p>The combination of TLR 4 and the ligand lipopolysaccharide may trigger lipid raft flow that leads to the alteration of the lipid raft space conformation (<xref rid="f6-ol-0-0-11754" ref-type="fig">Fig. 6A</xref>) (<xref rid="b107-ol-0-0-11754" ref-type="bibr">107</xref>). The change in the conformation of lipid rafts results in the aggregation of NADH oxidase subunits on lipid rafts, inducing a redox reaction of lipid rafts to produce reactive oxygen species and the inhibition of hypoxia-inducible factor 1&#x03B1; degradation, which may lead to the induction of cervical cancer (<xref rid="f6-ol-0-0-11754" ref-type="fig">Fig. 6B</xref>) (<xref rid="b97-ol-0-0-11754" ref-type="bibr">97</xref>).</p>
</sec>
<sec>
<title>miRNA in cervical cancer</title>
<p>miRNAs are a group of small non-coding RNAs of 18&#x2013;25 nucleotides in length that regulate gene expression at the post-transcriptional level (<xref rid="b108-ol-0-0-11754" ref-type="bibr">108</xref>). miRNAs also serve crucial functions in cell proliferation, differentiation, migration, invasion and drug resistance (<xref rid="b78-ol-0-0-11754" ref-type="bibr">78</xref>,<xref rid="b109-ol-0-0-11754" ref-type="bibr">109</xref>&#x2013;<xref rid="b111-ol-0-0-11754" ref-type="bibr">111</xref>). The translation of mRNA can be suppressed or degraded when their 3&#x2032;-untranslated regions (3&#x2032;-UTRs) are targeted by miRNAs (<xref rid="b93-ol-0-0-11754" ref-type="bibr">93</xref>,<xref rid="b112-ol-0-0-11754" ref-type="bibr">112</xref>&#x2013;<xref rid="b114-ol-0-0-11754" ref-type="bibr">114</xref>). Abnormal miRNA expression has been reported to contribute to the progression of multiple types of cancer, including breast, lung, oesophageal and ovarian cancer (<xref rid="b115-ol-0-0-11754" ref-type="bibr">115</xref>&#x2013;<xref rid="b120-ol-0-0-11754" ref-type="bibr">120</xref>).</p>
</sec>
<sec>
<title>Expression of miR-214 in cervical cancer</title>
<p>Several miRNAs serve significant roles in the development of cancer, such as miR-98 (<xref rid="b121-ol-0-0-11754" ref-type="bibr">121</xref>), miR-98 (<xref rid="b121-ol-0-0-11754" ref-type="bibr">121</xref>), miR-146b-5p (<xref rid="b122-ol-0-0-11754" ref-type="bibr">122</xref>) and miR-214 (<xref rid="b122-ol-0-0-11754" ref-type="bibr">122</xref>). miR-214 has been demonstrated to be associated with both the inhibition and progression of multiple types of cancer, including cervical cancer (<xref rid="b78-ol-0-0-11754" ref-type="bibr">78</xref>). Yang <italic>et al</italic> (<xref rid="b78-ol-0-0-11754" ref-type="bibr">78</xref>) analysed the expression levels of miR-214 in cervical cancer and non-cancerous tissues. The results revealed that the inhibition of miR-214 expression in cancerous tissue stimulated cervical cancer proliferation, whereas excessive expression of miR-214 inhibited cancer progression (<xref rid="b78-ol-0-0-11754" ref-type="bibr">78</xref>). MTT assays were performed on cervical cancer cells revealed a significant inversely proportional association between the expression levels of miR-214 and enhancer of zeste homolog 2 (EZH2); increased expression levels of miR-214 and reduced expression levels of EZH2 resulted in reduced cervical cancer cell proliferation, whereas low expression of miR-214 combined with high EZH2 expression resulted in increased cervical cancer cell proliferation <italic>in vitro</italic> (<xref rid="b78-ol-0-0-11754" ref-type="bibr">78</xref>). Thus, the differential expression levels of miR-214 suggest that it may be a potential biomarker for prognosis and diagnosis of cervical cancer, or a tool for treatment of this disease. Statistical analysis determined an association between miR-214 expression levels and the survival rates of patients with cervical cancer (<xref rid="b78-ol-0-0-11754" ref-type="bibr">78</xref>). Patients expressing low levels of of miR-214 exhibited enhanced levels of cervical cancer proliferation. Moreover, patients with higher expression levels of miR-214 exhibited improved survival rates. A decrease in the EZH2 expression levels was significantly associated with the inhibition of cervical cancer proliferation (<xref rid="b78-ol-0-0-11754" ref-type="bibr">78</xref>).</p>
</sec>
<sec>
<title>Expression of miR-217 in cervical cancer</title>
<p>Previous studies have revealed that miRNAs act as tumour suppressors in cervical cancer cells by regulating specific target genes. For example, Dong <italic>et al</italic> (<xref rid="b123-ol-0-0-11754" ref-type="bibr">123</xref>) compared Rho-associated coiled-coil containing protein kinase 1 (ROCK1) expression levels in cervical cancer and non-cancerous tissues and cell lines. Significantly lower expression levels of miR-217 were observed in metastatic and non-metastatic cervical cancer tissues and cell lines compared with those in non-cancerous tissues and cell lines (<xref rid="b123-ol-0-0-11754" ref-type="bibr">123</xref>). Reduced invasive capabilities of SiHa and HeLa cell lines, as well as reduced colony formation, was demonstrated when miR-217 was highly expressed; in addition, the effect of high miR-217 expression on apoptosis in SiHa and HeLa cell lines was analysed by flow cytometry. The flow cytometry indicated that increased transcription of miR-217 in cells resulted in a greater proportion of these cells undergoing apoptosis (<xref rid="b123-ol-0-0-11754" ref-type="bibr">123</xref>). Overexpression of miR-217 significantly inhibited cell growth, whereas overexpression of ROCK1 increased cell invasive abilities in the SiHa cell line due to decreased miR-217 expression (<xref rid="b123-ol-0-0-11754" ref-type="bibr">123</xref>). Therefore, the ability of miR-217 to suppress cervical cancer may be modulated through ROCK1. This was further supported by suppressed luciferase activity of pmirGLO-ROCK1-3&#x2032;UTR-1 and pmirGLO-ROCK1-3&#x2032;UTR-2 following overexpression of miR-217 (<xref rid="b123-ol-0-0-11754" ref-type="bibr">123</xref>). Lastly, western blot analysis revealed that overexpression of miR-217 significantly lowered ROCK1 expression levels, whereas reduced levels of miR-217 expression resulted in increased ROCK1 expression levels (<xref rid="f7-ol-0-0-11754" ref-type="fig">Fig. 7</xref>) (<xref rid="b120-ol-0-0-11754" ref-type="bibr">120</xref>). Therefore, miR-217 may target ROCK1 to inhibit cervical cancer proliferation (<xref rid="b123-ol-0-0-11754" ref-type="bibr">123</xref>). The level of miRNA transcription serves an important role in cervical cancer progression, which in turn highlights the importance of broadening our knowledge on potential miRNA target genes, as well as the potential mechanisms of migration and invasion for the identification of potential prognostic and diagnostic tools, and for the development of novel immunotherapeutic strategies for cervical cancer.</p>
</sec>
</sec>
</sec>
</sec>
<sec>
<label>4.</label>
<title>Prevention and diagnosis of cervical cancer</title>
<p>Geographic variation in cervical cancer incidence is based in part on differences in the availability of screening to allow for the early identification and removal of precancerous lesions. The diagnosis of HPV should also be considered as an important and challenging causative factor for cervical cancer that varies geographically (<xref rid="b124-ol-0-0-11754" ref-type="bibr">124</xref>).</p>
<sec>
<title/>
<sec>
<title>Cervical cancer prevention: HPV vaccination</title>
<p>In 2013, Adesina <italic>et al</italic> (<xref rid="b125-ol-0-0-11754" ref-type="bibr">125</xref>) estimated that 11 million women in Sub-Saharan Africa would be diagnosed with cervical cancer within the next 10&#x2013;20 years, with ~1.7 million cases diagnosed in 2010 (<xref rid="b126-ol-0-0-11754" ref-type="bibr">126</xref>). Prevention of cervical cancer is regarded as the best control method; however, treatment is also an important intervention (<xref rid="b127-ol-0-0-11754" ref-type="bibr">127</xref>). A cost-effective HPV vaccine has been reported as lifesaving amongst girls between 9 and 12 years of age (<xref rid="b50-ol-0-0-11754" ref-type="bibr">50</xref>). The number of cervical cancer cases are predicted to effectively decrease after five decades of comprehensive vaccination (<xref rid="b128-ol-0-0-11754" ref-type="bibr">128</xref>). There are two types of HPV vaccines used for targeting the predominant subtypes of HPV: The bivalent vaccine, which targets the HPV 16 and 18 subtypes, and the quadrivalent vaccine, which targets the HPV 6, 11, 16 and 18 subtypes (<xref rid="b2-ol-0-0-11754" ref-type="bibr">2</xref>,<xref rid="b129-ol-0-0-11754" ref-type="bibr">129</xref>). HPV vaccines have been reported to effectively assist in preventing HPV infection, and result in the prevention of CIN (<xref rid="b130-ol-0-0-11754" ref-type="bibr">130</xref>,<xref rid="b131-ol-0-0-11754" ref-type="bibr">131</xref>) HPV vaccination first became popular in high-income countries but remained unpopular in low income countries due to the high price of the vaccine. Since 2011, HPV vaccinations have gained popularity in middle-income countries due to a decrease in cost (<xref rid="b2-ol-0-0-11754" ref-type="bibr">2</xref>); since 2012, increased financial support for HPV vaccination projects in low-income countries has enabled such countries to adopt vaccination programs (<xref rid="b2-ol-0-0-11754" ref-type="bibr">2</xref>,<xref rid="b132-ol-0-0-11754" ref-type="bibr">132</xref>). HPV vaccination for women in South Africa was first introduced in 2014 through the National HPV Immunization Program. The primary target age for HPV vaccination in South Africa is 9 years (pupils in grades 3 and 4) (<xref rid="b6-ol-0-0-11754" ref-type="bibr">6</xref>,<xref rid="b17-ol-0-0-11754" ref-type="bibr">17</xref>). According to the European Medicines Agency, the standard dose for girls &#x003C;14 years of age is two doses at 0 and &#x003C;6 months depending on whether they are receiving the Cervarix or Gardasil vaccine (<xref rid="b21-ol-0-0-11754" ref-type="bibr">21</xref>). Herrero <italic>et al</italic> (<xref rid="b2-ol-0-0-11754" ref-type="bibr">2</xref>,<xref rid="b7-ol-0-0-11754" ref-type="bibr">7</xref>) clinically demonstrated that three doses of HPV vaccine can provide total protection against persisting HPV infection and associated precancerous lesions in women aged between 15 and 26 years old, provided that they have not been previously exposed to the virus (<xref rid="b7-ol-0-0-11754" ref-type="bibr">7</xref>). Therefore, treatment (or vaccination) and screening is crucial for lowering the incidence, burden and mortality rates of cervical cancer (<xref rid="b7-ol-0-0-11754" ref-type="bibr">7</xref>).</p>
</sec>
<sec>
<title>Cervical cancer screening</title>
<p>It is of great global interest to eliminate or decrease the number of new cases and high mortality of cervical cancer caused by persistent HPV infection. Therefore, Pap smear screening for cervical cancer is highly encouraged during the HIV diagnosis process. This procedure should be repeated every 3 years for women who have been previously screened and diagnosed as negative (<xref rid="b50-ol-0-0-11754" ref-type="bibr">50</xref>). Regular screening for cervical cancer amongst women is predicted to lower the lifetime risk of developing the disease (<xref rid="b133-ol-0-0-11754" ref-type="bibr">133</xref>). Population screening for cervical cancer in regions of low socioeconomic status and low-resource settings remains elusive; the cervical cancer screening coverage in Southern Africa ranges between 4.1 and 38.0&#x0025;. A study of 642 females in urban areas found that 17.3&#x0025; had been screened, while of 580 females in rural areas 9.6&#x0025; had been screened for HPV (<xref rid="b130-ol-0-0-11754" ref-type="bibr">130</xref>,<xref rid="b134-ol-0-0-11754" ref-type="bibr">134</xref>,<xref rid="b135-ol-0-0-11754" ref-type="bibr">135</xref>). This low coverage is due to factors such as inaccessibility (due to areas being remote), lack of funding, community awareness and cost-effectiveness, complications of Pap smear, a lack of public policy attention, or the implementation of ineffective public policies (<xref rid="b128-ol-0-0-11754" ref-type="bibr">128</xref>,<xref rid="b130-ol-0-0-11754" ref-type="bibr">130</xref>,<xref rid="b136-ol-0-0-11754" ref-type="bibr">136</xref>).</p>
<p>HIV-associated cervical cancer incidence is predicted to gradually increase in LMICs for the next 10 years (<xref rid="b137-ol-0-0-11754" ref-type="bibr">137</xref>). Despite the incidence of cervical cancer in many LMICs being lower than in many developed countries, the cancer burden in LMICs is increasing due to the advanced stage at diagnosis and inaccessible treatment (<xref rid="b28-ol-0-0-11754" ref-type="bibr">28</xref>). Thus, immediate action in the public and global health sectors is advised (<xref rid="b2-ol-0-0-11754" ref-type="bibr">2</xref>,<xref rid="b138-ol-0-0-11754" ref-type="bibr">138</xref>). Effective precancerous lesion detection using the PapilloCheck<sup>&#x00AE;</sup> microarray and the HPV restriction fragment length polymorphism (RFLP) PCR assay was achieved with 62.5 and 25.0&#x0025; HPV co-infection detection, respectively (<xref rid="b4-ol-0-0-11754" ref-type="bibr">4</xref>). The RFLP PCR assay is suggested as a primary HPV test for screening in LMICs, as it is cost-effective, while the PapilloCheck<sup>&#x00AE;</sup> microarray assay is considered a more sensitive and descriptive test (<xref rid="b4-ol-0-0-11754" ref-type="bibr">4</xref>). However, widespread access to screening at the population level in LMICs remains challenging. For example, in Uganda, cervical cancer is the leading type of cancer amongst women, with 3,915 new cases and 2,275 deaths per year (<xref rid="b21-ol-0-0-11754" ref-type="bibr">21</xref>); however, &#x003C;10&#x0025; of Ugandan women have ever been screened (<xref rid="b139-ol-0-0-11754" ref-type="bibr">139</xref>).</p>
<p>Several studies have reported multiple compounding factors that contribute to non-participation of women in cervical cancer screening, such as unemployment, lack of or low education level, poor language proficiency (for example, the information and education campaigns not being provided in the native language of the women the programs are aimed at), being unmarried, lack of knowledge of screening, previous negative experiences of screening, cultural and traditional beliefs, and multiple other determinants (<xref rid="b140-ol-0-0-11754" ref-type="bibr">140</xref>&#x2013;<xref rid="b142-ol-0-0-11754" ref-type="bibr">142</xref>). Thus, the WHO and the European Commission have recognised that equal access and equal utilization of healthcare is essential to deal with inequity issues in healthcare (<xref rid="b143-ol-0-0-11754" ref-type="bibr">143</xref>). This may improve healthcare service practices such as screening and treatment (<xref rid="b144-ol-0-0-11754" ref-type="bibr">144</xref>,<xref rid="b145-ol-0-0-11754" ref-type="bibr">145</xref>). In conclusion, appropriate cervical cancer screening programs and good-quality cytological testing can assist in lowering the incidence and mortality rates of cervical cancer. The effectiveness of prevention and treatment programs is dependent on equity in healthcare and good healthcare service practices. A lack of cervical cancer screening is not the sole cause for the high burden of cervical cancer in LMICs. Another important consideration is the decision on whether to treat a patient based on a positive result for an HPV test. Since most HPV infections clear spontaneously, especially in younger women, if a patient is treated without further screening, it may contribute to unnecessary treatment costs (<xref rid="b146-ol-0-0-11754" ref-type="bibr">146</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="conclusion">
<label>5.</label>
<title>Conclusions</title>
<p>Globally, Southern Africa displays the largest HIV burden amongst women, contributing to it being a HR region for developing an HPV infection, pre-invasive cervical disease and ICC. Poor prognosis and diagnosis are common in low-income settings, where women experience advanced stages of HPV infection and lack treatment.</p>
<p>Control methods, including Pap smear screening and HPV vaccines, have been used to help reducing the exponential increase in new cervical cancer cases, although the low coverage for screening remains a challenge in a number of LMICs. However, these control methods were initially only available in developed countries and have only recently become available in middle-income countries, leaving women from low socioeconomic backgrounds vulnerable. This is caused by the lack of funding and accessibility to cost-effective treatment. Thus, the present review highlights the importance of equity in the access and utilization of healthcare services and products.</p>
<p>Although HPV vaccines have been introduced in multiple LMICs, their prophylactic efficacy is only beneficial to women who have not been exposed to the virus; therefore, this identifies a need for further research into other possible interventions, particularly for those already infected. The effect of aberrant alternative splicing on cervical cancer requires further research and may be a promising tool for treatment of the disease. Similarly, TLRs and miRNAs may be explored further as potential immunotherapeutic interventions.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>The present study was supported by the Medical Research Council of South Africa, through the SA-MRC/UP Precision Prevention and Novel Drug Targets for HIV-Associated Cancers Extramural Unit Grant and the SA-MRC SHIP Grant.</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>ZD was responsible for the Acquisition of funding. RH, MM, RM and ZMK were responsible for the collection of data. RH, MM, TM, RM and ZMK were responsible for writing the manuscript. RH, TM, RM, ZMK, CH, SMW, RMR, GK and DOB were responsible for editing/revising the manuscript. ZD is responsible for supervising the research group. The review was written by RH, MM, TM, RM, ZMK and ZD. All authors read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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<floats-group>
<fig id="f1-ol-0-0-11754" position="float">
<label>Figure 1.</label>
<caption><p>Incidence of cervical cancer. (A) Worldwide incidence by country. (B) The difference in incidence and mortality rates based on economic development compared with the global average. (C) Incidence and mortality rates based on geographic location.</p></caption>
<graphic xlink:href="ol-20-03-2058-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-11754" position="float">
<label>Figure 2.</label>
<caption><p>Risk factors associated with the development of cervical cancer. HPV infection is the most important risk factor associated with the development of cervical cancer. The risk of infection with HPV is associated with various sexual and reproductive factors, which further increase the risk of developing cervical cancer. HPV, human papilloma virus; CIN, cervical intraepithelial neoplasia; TLR, toll-like receptor.</p></caption>
<graphic xlink:href="ol-20-03-2058-g01.jpg"/>
</fig>
<fig id="f3-ol-0-0-11754" position="float">
<label>Figure 3.</label>
<caption><p>Long non-coding RNA LINC00673 serves an anti-tumour function by controlling PTPN11 degradation. The figure demonstrates how mutations due to SNPs in LINC00673 can promote the development of squamous cell carcinoma. An SNP at position rs11655237 in LINC00673 can increase the risk of developing cervical cancer. A decrease in the level of the normal wild type and an increase in the level of a variant known as LINC00673A that contains a G-to-A nucleotide substitution at rs11655237 may cause dysregulated transcription and result in an increase in the risk of developing cervical cancer. PTPN11, tyrosine-protein phosphatase non-receptor type 11; SRC-ERF, proto-oncogene tyrosine protein kinase-ETS domain-containing transcription factor; STAT, signal transducer and activation of transcription.</p></caption>
<graphic xlink:href="ol-20-03-2058-g02.jpg"/>
</fig>
<fig id="f4-ol-0-0-11754" position="float">
<label>Figure 4.</label>
<caption><p>Pathways of aberrant alternative splicing resulting in diseases such as cervical cancer. The flow chart depicts the causes, mechanisms and results of aberrant alternative splicing. Aberrant alternative splicing is caused by genomic point mutations in splicing factors or elements. These lead to changes in splicing and different populations of splice variants, such as exon alteration, intron retention, alteration in 3&#x2032; and 5&#x2032; splicing, mutually exclusive introns, alteration in polyA tail length or occurrence of multiple promoters. Aberrant alternative splicing can contribute to a variety of pathologies. SR protein, serine arginine domain splicing factors; hnRNP, Heterogeneous nuclear ribonucleoproteins.</p></caption>
<graphic xlink:href="ol-20-03-2058-g03.jpg"/>
</fig>
<fig id="f5-ol-0-0-11754" position="float">
<label>Figure 5.</label>
<caption><p>Aberrant alternative splicing of the IL1RAP gene leads to immune evasion and development of cervical cancer. The synthesis of mIL1RAP is controlled by the SRSF10 splicing factor. This allows the alternative splicing of the <italic>iLIl1rap</italic> exon 13 to form the mRNA corresponding to the membrane-bound isoform. This stimulates the IL-1&#x03B2;-induced NF-&#x03BA;B-mediated transcription of CD47, allowing the tumour cells to avoid phagocytosis by macrophages. CD47, CD antigen 47; E2F1, E2 Transcription factor 1; I&#x03BA;B&#x03B1;, nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha; IL1RAP, interleukin-1-receptor accessory protein; mIL1RAP, membrane form of interleukin-1-receptor accessory protein; p65, transcription factor 65; SRSF10, serine- and arginine-rich splicing factor 10.</p></caption>
<graphic xlink:href="ol-20-03-2058-g04.jpg"/>
</fig>
<fig id="f6-ol-0-0-11754" position="float">
<label>Figure 6.</label>
<caption><p>TLR4 signaling pathways in cervical cancer. (A) Binding of LPS to TLR4 leads to the transmission of signals via MyD88, At the same time the activation of TLR5 leads to increased Nox1 signaling. The primary role of NOX1 is to generate ROS. NOX1 signaling also leads to the inhibition of HIF-1&#x03B1; degradation, which increases the possibly of developing cervical cancer MyD88 signaling in conjunction with NOX1 leads to the activation of transcription factors and Interfrons (IFN), leading to a pro-inflammatory and antiviral response. This pathway demonstrates how inflammation can lead to cancer progression. CD1, cluster differentiation 1; HIF-1&#x03B1;, hypoxia inducible factor 1&#x03B1;; IL-6, interleukin 6; IFN, interferon; IRAK, interleukin-1 receptor-associated kinase; IRF3, interferon regulatory factor 3; LPS, lipopolysaccharides; MyD8, myeloid differentiation primary response 8; MyD88, myeloid differentiation primary response 88; NF-&#x03BA;B, nuclear factor kappa-light-chain-enhancer of activated B cells; Nox1, NADPH oxidase 1; PHDs, propyl hydroxylases; Rac1, ras-related C3 botulinum toxin substrate 1; TAK1, transforming growth factor beta-activated kinase 1; TLR, toll-like receptor; Traf6, tumor necrosis factor receptor (TNFR)-associated factor 6; NADH, nicotinamide adenine dinucleotide hydrogen.</p></caption>
<graphic xlink:href="ol-20-03-2058-g05.tif"/>
<graphic xlink:href="ol-20-03-2058-g06.jpg"/>
</fig>
<fig id="f7-ol-0-0-11754" position="float">
<label>Figure 7.</label>
<caption><p>Increased expression of ROCK1 in cancer may be due to decreased levels of miR-217. ROCK1 expression is regulated by miR-217. Lower transcript levels of this miRNA are associated with metastatic and non-metastatic cervical cancer. Overexpression of miR-217 significantly inhibits cell growth. ROCK1 leads to increased invasion and metastasis. ERK, extracellular signal-regulated kinases; ERM, ezrin, radixin and moesin; LIM kinase, Lin11, Isl-1 and Mec-3 kinase; miR, microRNA; MLC phosphatase, myosin light-chain phosphatase; ROCK1, rho-associated coiled-coil containing protein kinase 1.</p></caption>
<graphic xlink:href="ol-20-03-2058-g07.jpg"/>
</fig>
<table-wrap id="tI-ol-0-0-11754" position="float">
<label>Table I.</label>
<caption><p>Region-specific incidence and mortality ASRs for cancers of the cervix in 2018.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Region</th>
<th align="center" valign="bottom">Incidence</th>
<th align="center" valign="bottom">Mortality</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Southern Africa</td>
<td align="center" valign="top">43.1</td>
<td align="center" valign="top">20.0</td>
</tr>
<tr>
<td align="left" valign="top">Eastern Africa</td>
<td align="center" valign="top">40.1</td>
<td align="center" valign="top">30.0</td>
</tr>
<tr>
<td align="left" valign="top">Western Africa</td>
<td align="center" valign="top">29.6</td>
<td align="center" valign="top">23.0</td>
</tr>
<tr>
<td align="left" valign="top">Melanesia</td>
<td align="center" valign="top">27.7</td>
<td align="center" valign="top">19.0</td>
</tr>
<tr>
<td align="left" valign="top">Middle Africa</td>
<td align="center" valign="top">26.8</td>
<td align="center" valign="top">21.1</td>
</tr>
<tr>
<td align="left" valign="top">South-Eastern Asia</td>
<td align="center" valign="top">17.2</td>
<td align="center" valign="top">10.0</td>
</tr>
<tr>
<td align="left" valign="top">Eastern Europe</td>
<td align="center" valign="top">16.0</td>
<td align="center" valign="top">6.1</td>
</tr>
<tr>
<td align="left" valign="top">Caribbean</td>
<td align="center" valign="top">15.5</td>
<td align="center" valign="top">8.5</td>
</tr>
<tr>
<td align="left" valign="top">South America</td>
<td align="center" valign="top">15.2</td>
<td align="center" valign="top">7.1</td>
</tr>
<tr>
<td align="left" valign="top">Micronesia/Polynesia</td>
<td align="center" valign="top">14.2</td>
<td align="center" valign="top">6.3</td>
</tr>
<tr>
<td align="left" valign="top">Central America</td>
<td align="center" valign="top">13.0</td>
<td align="center" valign="top">7.0</td>
</tr>
<tr>
<td align="left" valign="top">South Central Asia</td>
<td align="center" valign="top">13.0</td>
<td align="center" valign="top">8.2</td>
</tr>
<tr>
<td align="left" valign="top">Eastern Asia</td>
<td align="center" valign="top">10.9</td>
<td align="center" valign="top">4.1</td>
</tr>
<tr>
<td align="left" valign="top">Northern Europe</td>
<td align="center" valign="top">9.5</td>
<td align="center" valign="top">2.1</td>
</tr>
<tr>
<td align="left" valign="top">Southern Europe</td>
<td align="center" valign="top">7.8</td>
<td align="center" valign="top">2.2</td>
</tr>
<tr>
<td align="left" valign="top">Northern Africa</td>
<td align="center" valign="top">7.2</td>
<td align="center" valign="top">5.1</td>
</tr>
<tr>
<td align="left" valign="top">Western Europe</td>
<td align="center" valign="top">6.8</td>
<td align="center" valign="top">2.1</td>
</tr>
<tr>
<td align="left" valign="top">Northern America</td>
<td align="center" valign="top">6.4</td>
<td align="center" valign="top">1.9</td>
</tr>
<tr>
<td align="left" valign="top">Australia/New Zealand</td>
<td align="center" valign="top">6.0</td>
<td align="center" valign="top">1.7</td>
</tr>
<tr>
<td align="left" valign="top">West Asia</td>
<td align="center" valign="top">4.1</td>
<td align="center" valign="top">2.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-0-0-11754"><p>ASR per 100,000 women. Rates are shown in descending order of the world Age Standardised incidence Rate (ASR), The ASRs for incidence and mortality are given for each region (<xref rid="b15-ol-0-0-11754" ref-type="bibr">15</xref>). ASR, age-standardised rate.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-0-0-11754" position="float">
<label>Table II.</label>
<caption><p>Cervical cancer statistics.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Country</th>
<th align="center" valign="bottom">New cases (no.)</th>
<th align="center" valign="bottom">All cancers (&#x0025;)</th>
<th align="center" valign="bottom">ASR per 100,000 women</th>
<th align="center" valign="bottom">(Refs.)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">South Africa</td>
<td align="center" valign="top">5,735</td>
<td align="center" valign="top">15.17</td>
<td align="center" valign="top">22.56</td>
<td align="center" valign="top">(<xref rid="b31-ol-0-0-11754" ref-type="bibr">31</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Brazil</td>
<td align="center" valign="top">16,370</td>
<td align="center" valign="top">8.1</td>
<td align="center" valign="top">12.2</td>
<td align="center" valign="top">(<xref rid="b32-ol-0-0-11754" ref-type="bibr">32</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">India</td>
<td align="center" valign="top">96,922</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">14.7</td>
<td align="center" valign="top">(<xref rid="b26-ol-0-0-11754" ref-type="bibr">26</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Tanzania</td>
<td align="center" valign="top">9,772</td>
<td align="center" valign="top">37,9</td>
<td align="center" valign="top">59.1</td>
<td align="center" valign="top">(<xref rid="b26-ol-0-0-11754" ref-type="bibr">26</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">China</td>
<td align="center" valign="top">106,430</td>
<td align="center" valign="top">2.5</td>
<td align="center" valign="top">10.7</td>
<td align="center" valign="top">(<xref rid="b26-ol-0-0-11754" ref-type="bibr">26</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-11754"><p>ASR, age-standardised rate.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-ol-0-0-11754" position="float">
<label>Table III.</label>
<caption><p>Cervical cancer statistics in different population groups in South Africa (<xref rid="b35-ol-0-0-11754" ref-type="bibr">35</xref>).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Group</th>
<th align="center" valign="bottom">New cases (no.)</th>
<th align="center" valign="bottom">All cancers (&#x0025;)</th>
<th align="center" valign="bottom">ASR per 100,000 women</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Asian</td>
<td align="center" valign="top">81</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6.89</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9.98</td>
</tr>
<tr>
<td align="left" valign="top">Black</td>
<td align="center" valign="top">4,870</td>
<td align="center" valign="top">30.46</td>
<td align="center" valign="top">27.01</td>
</tr>
<tr>
<td align="left" valign="top">White</td>
<td align="center" valign="top">407</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3.45</td>
<td align="center" valign="top">13.10</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">340</td>
<td align="center" valign="top">&#x00A0;&#x00A0;8.36</td>
<td align="center" valign="top">13.72</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-ol-0-0-11754"><p>ASR, age-standardised rate.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-ol-0-0-11754" position="float">
<label>Table IV.</label>
<caption><p>TLR expression in different types of cancer (<xref rid="b97-ol-0-0-11754" ref-type="bibr">97</xref>).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Cancer type</th>
<th align="center" valign="bottom">TLRs</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Cervical</td>
<td align="left" valign="top">TLR 3, TLR 4, TLR 5, TLR 9</td>
</tr>
<tr>
<td align="left" valign="top">Gastric</td>
<td align="left" valign="top">TLR 2, TLR 4, TLR 5, TLR 9</td>
</tr>
<tr>
<td align="left" valign="top">Colorectal</td>
<td align="left" valign="top">TLR 2, TLR 3, TLR 4, TLR 5, TLR 9</td>
</tr>
<tr>
<td align="left" valign="top">Ovarian</td>
<td align="left" valign="top">TLR 2, TLR 3, TLR 4, TLR 5</td>
</tr>
<tr>
<td align="left" valign="top">Lung</td>
<td align="left" valign="top">TLR 2, TLR 3, TLR 4, TLR 9</td>
</tr>
<tr>
<td align="left" valign="top">Prostate</td>
<td align="left" valign="top">TLR 4, TLR 9</td>
</tr>
<tr>
<td align="left" valign="top">Breast</td>
<td align="left" valign="top">TLR 2, TLR 3, TLR 4, TLR 9</td>
</tr>
<tr>
<td align="left" valign="top">Liver</td>
<td align="left" valign="top">TLR 2, TLR 3, TLR 4, TLR 6, TLR 9</td>
</tr>
<tr>
<td align="left" valign="top">Pancreatic</td>
<td align="left" valign="top">TLR 2, TLR 4, TLR 9</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn4-ol-0-0-11754"><p>TLR, toll-like receptor.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
