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Human papillomaviruses 16 and 58 are distributed widely among women living in Shanghai, China, with high-grade, squamous intraepithelial lesions

Published online by Cambridge University Press:  13 November 2018

J. Xu
Affiliation:
Department of Obstetrics and Gynecology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, P.R. China
Z. Xia
Affiliation:
Department of Obstetrics and Gynecology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, P.R. China
L. Wang
Affiliation:
Department of Obstetrics and Gynecology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, P.R. China
B. Yang
Affiliation:
Department of Obstetrics and Gynecology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, P.R. China
Y. Zhu
Affiliation:
Department of Obstetrics and Gynecology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, P.R. China
X. Zhu
Affiliation:
Department of Obstetrics and Gynecology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, P.R. China
L. Xu*
Affiliation:
Department of Obstetrics and Gynecology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, P.R. China
*
Author for correspondence: L. Xu, E-mail: xlgynae@163.com
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Abstract

The distribution of human papillomaviruses (HPVs) must be understood for the control and prevention of cervical cancer. Community-based Papanicolaou and HPV DNA tests were performed on 41 578 women. The prevalences of HPV genotypes 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66 and 68 were assessed. In total, 10% women were infected/co-infected by these HPVs. The infection rate increased from 7.1% in women aged ⩽30 years to 10.4% in those aged 50–60 years, and then decreased slightly to 9.9% in those aged >60 years. The HPV 16 and 58 positivity rates were significantly higher among women with high-grade squamous intraepithelial lesions (HSILs) than among those with cervicitis/negativity for intraepithelial lesion or malignancy (NILM) or low-grade SILs (LSILs). The HPV 18, 52 and 68 infection rates were significantly lower in women with HSILs than in those with NILM or LSILs. The proportion of women infected by multiple HPV strains was higher among those with HSILs. The proportions of the five most common genotypes, HPV 16, 18, 33, 52 and 58, increased with the number of co-infecting strains. HPV 16 and 58 were the high-risk HPVs in the Shanghai community and should be the focus in HPV screening and vaccination.

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2018

Introduction

The International Agency for Research on Cancer has classified 12 human papillomavirus (HPV) genotypes (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58 and 59) as group 1 carcinogens because of their association with cervical cancer [Reference Bou Bouvard1]. These genotypes are thus termed high-risk HPVs (hrHPVs), and they are distributed worldwide [Reference Schiffman2]. A recent meta-analysis of data from more than 1 million women (194 studies) showed that the global prevalence of infection by the HPVs listed above was 11–12%, with considerable regional variation; the five most common HPV genotypes worldwide in women with normal cervical cytology were 16 (3.2%), 18 (1.4%), 52 (0.9%), 31 (0.8%) and 58 (0.7%) [Reference Bruni3, Reference Forman4]. Another meta-analysis of data extracted from 423 studies showed that hrHPV positivity increased from 12% in females with normal cytology to 85% in those with high-grade squamous intraepithelial lesions (HSILs); the most commonly detected hrHPVs in females with invasive cancer were HPV 16, 18 and 45 [Reference Guan5]. Prospective studies have shown a causal relationship between persistent hrHPV infection and the development of cervical cancer [Reference Rodríguez6, Reference Kjær7]. This pathological linkage led to the development of HPV tests for cervical cancer screening and triage [8].

Currently, many prophylactic vaccines are now available worldwide [Reference Roden and Stern9]. These vaccines could be categorised into bivalent (includes HPV genotypes 16 and 18 virus-like particles (VLPs)), quadrivalent (includes HPV genotypes 6, 11, 16 and 18 VLPs) and nonavalent vaccines (includes HPV genotypes 6, 11, 16, 18, 31, 33, 45, 52 and 58 VLPs) according to the components of antigens [Reference Roden and Stern9Reference Riethmuller11]. Although bivalent and quadrivalent HPV vaccines have been used for about 10 years and studies confirm the substantial protective effects on the high-grade cervical abnormalities [Reference Roden and Stern9Reference Riethmuller11], increasing studies showed that a nonavalent vaccine could further improve the prevention of cervical HSIL in up to 90–100% of cases in Italian and French women [Reference Capra10, Reference Riethmuller11]. The above studies suggest a more complex epidemic trend of HPV and the distribution of HPV genotypes must be understood for more effective prevention of cervical cancer.

The most prevalent HPV genotypes, HPV infection rates, and the demographic and sociological characteristics of HPV infection vary widely by region [Reference Forman4, Reference de Sanjosé12]. China is a developing country with a population of 1.4 billion. Definition of the most prevalent hrHPVs and their characteristics is essential for the planning of cervical cancer screening and vaccination. Unfortunately, few data are available. Here, we report on a large-scale community-based screening study performed in Shanghai. Our study revealed the characteristics of the hrHPVs distribution in the Chinese women and will hence improve vaccination strategy in local area.

Methods

Study design and participants

To ensure early detection and management of breast and cervical cancer, and to standardise screening and referral, the Shanghai Minhang District Health and Family Planning Commission has implemented community-based screening in Minhang District, which, based on the latest census data, has a population of 2.43 million in nine towns. Commencing in 2014, screening was implemented in four towns; more than 10 000 women are screened annually via initial Papanicolaou (Pap) and hrHPV co-testing. The follow-up for those with abnormal test results is that recommended by the American College of Obstetricians and Gynecologists 2012 Updated Consensus Guidelines for the Management of Abnormal Cervical Cancer Screening Tests and Cancer Precursors [Reference Massad13]. Women with abnormal Pap test results and/or who are hrHPV-positive undergo colposcopy in the central hospitals of the district. Our hospital is one such hospital; we evaluated about half of all women with abnormal Pap test results.

The study was conducted in accordance with all relevant tenets of the World Medical Association's Declaration of Helsinki. The Review Board of the Ethics Committee of Medical Research at Minhang Hospital, Fudan University (Shanghai, China) approved the study protocol (Approval Number: 2013SHMH004). Written informed consent was obtained from all participants according to the guidelines of the Chinese National Ethics Regulation Committee. All participants were informed of their right to withdraw consent personally or via relatives, caregivers or guardians. The authors assert that all procedures complied with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

Cytological and histopathological examinations

For Pap test, a speculum is gently inserted to expose the cervix; then, a sterile cytobrush was inserted into the cervical os and gently rotated in the cervical canal and the portion of the cervix extending into the vagina to collect squamous and glandular cells. The cells were then evaluated as recommended by the manufacturer of the BD SurePath liquid-based Pap test (Becton, Dickinson and Company, Franklin Lakes, NJ, USA), and the results were reported using the Bethesda System for Reporting Cervical Cytology; Definitions, Criteria, and Explanatory Notes; Third Edition [Reference Nayar and Wilbur14]. The results were classified as: cervicitis/no intraepithelial lesion or malignancy (NILM); atypical squamous cells of undetermined significance (ASC-US); low-grade squamous intraepithelial lesion (LSIL); atypical cells, cannot exclude high-grade intraepithelial lesion; HSIL; and squamous-cell carcinoma (SCC). Those with ASC-US and higher cytological grades underwent colposcopy and biopsy; four-quadrant lesion-directed biopsy samples were obtained from distinct epithelial regions in the cervical transformation zone, which turned white upon application of 5% (v/v) acetic acid using a sterile, small, Tischler biopsy forceps. For subjects with fewer than four lesions, some biopsies targeted normal-appearing, cervical transformation zone epithelium or an endocervical scraping smear was performed. All biopsies were ranked in order of lesional severity at the time of colposcopy. All specimens were processed using standard cytological and histopathological methods and were evaluated by at least two certified pathologists blinded to clinical data. The histological findings were classified as no lesion found; cervical intraepithelial neoplasia (CIN) grades 1, 2 and 3; adenocarcinoma in situ; SCC; and adenocarcinoma [Reference Katki15, Reference Gu16].

HPV genotyping

At the time of Pap testing, cervical specimens for HPV testing were collected using a sterile cytobrush simultaneously as described above, and viral DNA was extracted using QIAamp DNA Mini Kits (QIAGEN, Shanghai, China). HPV DNA evaluation and genotyping were performed using a kit provided by Huada Biotech Co. Ltd (Wuhan, China). The kit detects 12 hrHPVs (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58 and 59), two possibly carcinogenic genotypes (66 and 68) and two low-risk strains (6 and 11). The kit employs polymerase chain reaction followed by HPV genotype-specific DNA microarray analysis. It has been approved by the Chinese Food and Drug Administration. All procedures followed the manufacturer's protocols.

Statistical analysis

Continuous variables are presented as means ± standard deviations and categorical data are presented as frequencies (percentages). Differences between groups were evaluated using the t test, χ 2 test or Fisher's exact probability test, as appropriate. All statistical analyses were performed with the aid of SPSS software (ver. 13.0; SPSS Inc., Chicago, IL, USA), and the significance level was set to α = 0.05.

Results

HPV prevalence by year and age

Between 2014 and 2017, a total of 41 578 women were screened using the Pap and HPV DNA tests. Of these, 4156 (10.0%) women were infected or co-infected by HPV genotypes 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66 and/or 68. In 2014, 2015, 2016 and 2017, 7514, 11 130, 12 335 and 10 473 women, respectively, were co-tested. The HPV 16 and 18 positivity rates ranged from 1.3% to 1.8% and from 0.7% to 1.0%, respectively, over the 4 years. The positivity rates for serotypes 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66 and 68 ranged from 6.5% to 8.0% over the 4 years (Fig. 1a). When the 41 479 subjects were pooled and stratified by age, the positivity rates for serotypes 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66 and 68 were found to increase from 7.1% in women aged ⩽30 years to 10.4% in those aged 50–60 years, and then to decrease slightly to 9.9% in those aged >60 years (Fig. 1b). The rates of infection with HPV 16 (1.2–1.7%) and 18 (0.7–0.9%) were relatively low at all ages (Fig. 1b).

Fig. 1. The prevalences of HPV genotypes 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66 and 68 in women. (a) Overall prevalences by year. (b) Overall prevalences by age. The English in this document has been checked by at least two professional editors, both native speakers of English. For a certificate, please see: http://www.textcheck.com/certificate/6naFdb.

Data on subjects who underwent further examination

Of all 4156 HPV-positive females, 2000 underwent colposcopy in our hospital; complete cytological and HPV data were available for 1481 of these women. Their average age was 56.3 ± 8.8 years; the numbers of women aged 21–29, 30–65 and >65 years were 11 (0.7%), 1276 (86.1%) and 194 (13.2%), respectively (Table 1). The Pap test showed that 1234 (83.3%), 58 (3.9%), 112 (7.6%), 75 (5.1%) and two (0.1%) women were of cervicitis/NILM, ASC-US, LSIL, HSIL and SCC status, respectively (Table 1). In addition, 57 (3.8%) and eight (0.5%) women, respectively, had cervical condylomas and cervical polyps, alone or in combination with the abnormal cytological changes listed above. A total of 1144 (77.2%), 278 (18.8%) and 60 (4.0%) women were infected with single, two and three or more strains, respectively (Table 1).

Table 1. Summary characteristics of subjects who underwent hrHPV and Pap co-testing

NILM, negative for intraepithelial lesion or malignancy; ASC-US, atypical squamous cells of undetermined significance; LSIL, low-grade squamous intraepithelial lesion; HSIL, high-grade squamous intraepithelial lesion; SCC, squamous-cell carcinoma.

Age is shown as the mean ± standard deviation; the remaining data are frequencies (percentages).

Prevalences of hrHPVs by SIL status

All HPV genotypes were common in women with cervicitis/NILM; the lowest infection rate (2.4%) was that of HPV 59 and the highest (23.9%) was that of HPV 52 (Table 2). HPV 16, 18, 52 and 58 were the most common genotypes, with infection rates >10%. The rate of infection with HPV 16 increased from 18.0% in women with cervicitis/NILM to 24.1% in those with LSILs and 54.7% in those with HSILs. The HPV 16 infection rate was significantly higher in the HSIL group than in the cervicitis/NILM, ASC-US and LSIL groups. The HPV 58 infection rate was also significantly higher in the HSIL group than in the cervicitis/NILM and LSIL groups. Although the HPV 18 infection rate was higher in women with cervicitis/NILM, ASC-US and LSILs, it was significantly lower in the HSIL group than in the other two groups. In addition, the rates of infection with HPV 58 and 52 were significantly lower in the HSIL group than in the cervicitis/NILM group.

Table 2. Prevalences of hrHPVs, grouped by SIL status

SIL, squamous intraepithelial lesion; NILM, negative for intraepithelial lesion or malignancy; ASC-US, atypical squamous cells of undetermined significance; LSIL, low-grade squamous intraepithelial lesion; HSIL, high-grade squamous intraepithelial lesion.

***P < 0.05 vs. cervicitis/NILM, ASC-US and LSIL groups; **P < 0.05 vs. cervicitis/NILM and LSIL groups; *P < 0.05 vs. cervicitis/NILM group. Percentages >10 are shown in bold.

hrHPV prevalences grouped by CIN status

Women with ASC-US (n = 58), LSIL (n = 112) and HSIL (n = 75) underwent colposcopy and biopsy. Ninety-four histological examinations were completed. When determining the prevalences of hrHPVs by CIN status, we grouped women with CIN II, CIN II–III and SCC as CIN II+. Fifty-two and 42 women were of CIN I and CIN II+ status, respectively (Table 3). As was true for the SIL grouping, the HPV 16 positivity rate was significantly higher among women of CIN II+ status (61.9%) than among those with cervicitis (18.0%) and those of CIN I status (21.2%); HPV 68 was not detected in the 42 women of CIN II+ status. Although the rates of infection with genotypes 52 and 58 were thus similar to those revealed by SIL grouping, positivity did not differ significantly among the cervicitis/NILM, CIN I and CIN II+ groups.

Table 3. Prevalences of hrHPVs in patients grouped by CIN status

HPV, human papillomavirus; CIN, cervical intraepithelial neoplasia; NILM, negative for intraepithelial lesion or malignancy; SCC, squamous-cell carcinoma.

The virus strains with prevalence of more than 10% are marked by bold.

**P < 0.05 vs. cervicitis/NILM and CIN I groups.

Characteristics of co-infecting hrHPVs

In total, 1144, 278 and 60 women were infected by one, two and three or more strains of HPV, respectively (Table 4). The proportions of women with cervicitis/NILM infected with one, two and three or more strains fell gradually from 85.1% to 68.3%; conversely, the proportions increased significantly from 4.7% to 18.3% in those with HSILs. Notably, the proportions of the five most common HPV genotypes (16, 18, 33, 52 and 58) increased significantly from those infected with single strains to those infected with two and three or more strains.

Table 4. Characteristics of hrHPV co-infection

NILM, negative for intraepithelial lesion or malignancy; ASC-US, atypical squamous cells of undetermined significance; LSIL, low-grade squamous intraepithelial lesion; HSIL, high-grade squamous intraepithelial lesion.

Discussions

We present community-based HPV and Pap co-test baseline data. The overall prevalence of all 14 HPV genotypes was 10.0%, consistent with other data from eastern Asia [Reference Bruni3, Reference Forman4]. We found that the HPV 16 and 58 positivity rates were significantly higher in women with HSILs than in those with cervicitis/NILM and those with LSILs. These distributions were not fully confirmed in the analysis by CIN grade, perhaps due to the small numbers evaluated in terms of CIN status. However, a Chinese study revealed significantly higher rates of HPV 16 and 58 positivity in 170 women of CIN II–III status and 35 women with invasive SCC [Reference Gu17]. A meta-analysis of the worldwide prevalence of HPV 58 in subjects with CIN also showed that the association of HPV 58 with CIN and invasive SCC was 3.7–4.9-fold higher in eastern Asia than elsewhere [Reference Chan18]; these data thus support our conclusion that HPV 16 and 58 are the two predominant hrHPVs in Shanghai.

The HPV 18, 52 and 68 infection rates were significantly lower in women with HSILs than in those with NILM and LSILs. HPV 18 is more strongly linked to adenocarcinoma than is SCC [Reference Schiffman2, Reference Berrington de González, Sweetland and Green19]; thus, HPV 18 infection is understandably rare in women with HSILs. HPV 52 has been found to be more prevalent in Chinese outpatients and community-dwelling women [Reference Gu16, Reference Gu17, Reference Hong20, Reference Bao21]. Surprisingly, the HPV 52 and 68 infection rates were significantly lower in women with HSILs; which should be given more attention in future prospective studies. Infection with multiple HPV strains is common, but the potential associations with cervical cancer have not been well studied. We found that the proportion of co-infection was high in women with HSILs, and the proportions of infection with the five most common genotypes (16, 18, 33, 52 and 58) increased from those among women infected with single strains to those infected with three or more strains. Herrero et al. [Reference Herrero22] showed that infection with multiple HPV strains was associated strongly with increased risks of low-grade lesions and CIN II+ status. Thus, multiple-genotype infection may play a role in the development of cervical cancer.

The clinical sensitivity of hrHPV DNA testing in terms of the detection of CIN II+ status is approximately 95% in screening populations [Reference Cuzick23, Reference Mayrand24], encouraging hrHPV DNA testing by gynaecologists to reduce the proportions of females with equivocal cytology after HPV detection [Reference Levi25]. However, hrHPV distribution patterns vary among countries; definition of the hrHPV pattern in China is thus essential. A total of 1479 HPV-positive women underwent cytological examination, but histological data were available for only 94 of these women. Exfoliative cytological assessments of transformation zones sometimes predict the cancer risk even when histopathological evaluation of colposcopic biopsy material does not confirm the presence of precancerous lesions [Reference Cox26]. Thus, we believe that the distribution characteristics derived by SIL grouping faithfully reflect the relationship between HPV genotype and the extent of cervical lesions.

Most HPV infections are cleared/suppressed by host cell-mediated immune processes within 1–2 years [Reference Stanley27]. The most common HPV genotypes should be those capable of persistent infection, as prevalence equals incidence multiplied by duration [Reference Schiffman2]. Although our study was cross-sectional in nature, and we thus lacked data on persistence, the work suggests that the high prevalence of HPV 16 and 58 reflects persistent infection and hence associated risks of cervical cancer development.

More and more studies confirm that vaccinating adolescents before sexual debut has a substantial impact on the overall incidence of high-grade cervical abnormalities [Reference Drolet28Reference Apter30]. Currently, there are three licensed HPV vaccines, they are bivalent vaccine, which includes HPV genotypes 16 and 18 VLPs; quadrivalent vaccine, which includes HPV genotypes 6, 11, 16 and 18 VLPs; and nine-valent vaccine, which includes HPV genotypes 6, 11, 16, 18, 31, 33, 45, 52 and 58 VLPs [Reference Petrosky31, Reference Dillner32]. Obviously, nine-valent HPV vaccine is the best choice for local females, because only this vaccine includes both HPV genotypes 16 and 58 VLPs. In addition, in order to promote the efficiency of vaccination, the following issues must be seriously explored and/or monitored in China [Reference Apter30]: HPV epidemic spectrum before and after vaccination; population coverage of HPV vaccination; optimal target age range for vaccination; immunisation of males and herd effects; and incidence of cervical cancer.

In conclusion, HPV 16 and 58, but not 16 and 18, are associated with local women with HSIL; the HPV 18, 52 and 68 infection rates were significantly lower in local women with HSIL; and the proportion of women infected by multiple HPV strains was higher in local women with HSIL.

Author ORCIDs

L. Xu 0000-0002-4038-3216

Acknowledgements

None.

Financial support

This study was supported by the WU JIEPING MEDICAL FOUNDATION (grant number 320.6750.13152) and a grant of the Shanghai Municipal Commission of Health and Family Planning (serial number: 201840340).

Conflict of interest

None.

Footnotes

*

The two authors contributed equally to this work.

References

1.Bou Bouvard, V et al. (2009) A review of human carcinogens – part B: biological agents. Lancet Oncology 10, 321322.Google Scholar
2.Schiffman, M et al. (2007) Human papillomavirus and cervical cancer. Lancet 370, 890907.Google Scholar
3.Bruni, L et al. (2010) Cervical human papillomavirus prevalence in 5 continents: meta-analysis of 1 million women with normal cytological findings. The Journal of Infectious Diseases 202, 17891799.Google Scholar
4.Forman, D et al. (2012) Global burden of human papillomavirus and related diseases. Vaccine 30, F12F23.Google Scholar
5.Guan, P et al. (2012) Human papillomavirus types in 115,789 HPV-positive women: a meta-analysis from cervical infection to cancer. International Journal of Cancer 131, 23492359.Google Scholar
6.Rodríguez, AC et al. (2010) Longitudinal study of human papillomavirus persistence and cervical intraepithelial neoplasia grade 2/3: critical role of duration of infection. Journal of the National Cancer Institute 102, 315324.Google Scholar
7.Kjær, SK et al. (2010) Long-term absolute risk of cervical intraepithelial neoplasia grade 3 or worse following human papillomavirus infection: role of persistence. Journal of the National Cancer Institute 102, 14781488.Google Scholar
8.World Health Organization. WHO Guidelines for Screening and Treatment of Precancerous Lesions for Cervical Cancer Prevention. Available at http://apps.who.int/iris/bitstream/handle/10665/94830/9789241548694_eng.pdf;sequence=1 (Accessed 20 April 2018).Google Scholar
9.Roden, RBS and Stern, PL (2018) Opportunities and challenges for human papillomavirus vaccination in cancer. Nature Reviews Cancer 18, 240254.Google Scholar
10.Capra, G et al. (2017) Potential impact of a nonavalent HPV vaccine on HPV related low-and high-grade cervical intraepithelial lesions: a referral hospital-based study in Sicily. Human Vaccines & Immunotherapeutics 13, 18391843.Google Scholar
11.Riethmuller, D et al. (2015) Potential impact of a nonavalent HPV vaccine on the occurrence of HPV-related diseases in France. BMC Public Health 15, 453.Google Scholar
12.de Sanjosé, S et al. (2007) Worldwide prevalence and genotype distribution of cervical human papillomavirus DNA in women with normal cytology: a meta-analysis. Lancet Infectious Diseases 7, 453459.Google Scholar
13.Massad, LS et al. (2013) 2012 updated consensus guidelines for the management of abnormal cervical cancer screening tests and cancer precursors. Obstetrics & Gynecology 121, 829846.Google Scholar
14.Nayar, R, Wilbur, D (eds) (2015) The Bethesda System for Reporting Cervical Cytology; Definitions, Criteria, and Explanatory Notes. New York, Dordrecht, London: Springer Cham Heidelberg.Google Scholar
15.Katki, HA et al. (2011) Cervical cancer risk for women undergoing concurrent testing for human papillomavirus and cervical cytology: a population-based study in routine clinical practice. Lancet Oncology 12, 663672.Google Scholar
16.Gu, Y et al. (2016) Genotype distribution characteristics of high-risk human papillomaviruses in women from Shanghai, China. Epidemiology & Infection 144, 14821489.Google Scholar
17.Gu, Y et al. (2016) Prevalence characteristics of high-risk human papillomaviruses in women living in Shanghai with cervical precancerous lesions and cancer. Oncotarget 7, 2465624663.Google Scholar
18.Chan, PK et al. (2014) Meta-analysis on prevalence and attribution of human papillomavirus types 52 and 58 in cervical neoplasia worldwide. PLoS ONE 9, e107573.Google Scholar
19.Berrington de González, A, Sweetland, S and Green, J (2004) Comparison of risk factors for squamous cell and adenocarcinomas of the cervix: a meta-analysis. British Journal of Cancer 90, 17871791.Google Scholar
20.Hong, H et al. (2015) Prevalence and genotype distribution of HPV infection among women in Ningbo, China. International Journal of Gynaecology and Obstetrics 131, 9699.Google Scholar
21.Bao, YP et al. (2008) Human papillomavirus type distribution in women from Asia: a meta-analysis. International Journal of Gynecological Cancer 18, 7179.Google Scholar
22.Herrero, R et al. (2005) Epidemiologic profile of type-specific human papillomavirus infection and cervical neoplasia in Guanacaste, Costa Rica. Journal of Infectious Diseases 191, 17961807.Google Scholar
23.Cuzick, J et al. (2006) Overview of the European and North American studies on HPV testing in primary cervical cancer screening. International Journal of Cancer 119, 10951101.Google Scholar
24.Mayrand, MH et al. (2007) Human papillomavirus DNA versus Papanicolaou screening tests for cervical cancer. The New England Journal of Medicine 357, 15791588.Google Scholar
25.Levi, AW et al. (2016) A comparison of the Roche Cobas HPV test with the hybrid capture 2 test for the detection of high-risk human papillomavirus genotypes. The Archives of Pathology & Laboratory Medicine 140, 153157.Google Scholar
26.Cox, JT et al. (2003) Prospective follow-up suggests similar risk of subsequent cervical intraepithelial neoplasia grade 2 or 3 among women with cervical intraepithelial neoplasia grade 1 or negative colposcopy and directed biopsy. American Journal of Obstetrics and Gynecology 188, 14061412.Google Scholar
27.Stanley, M (2006) Immune responses to human papillomavirus. Vaccine 24, S16S22.Google Scholar
28.Drolet, M et al. (2015) Population-level impact and herd effects following human papillomavirus vaccination programmes: a systematic review and meta-analysis. The Lancet Infectious Diseases 15, 565580.Google Scholar
29.Saslow, D et al. (2016) Human papillomavirus vaccination guideline update: American Cancer Society guideline endorsement. A Cancer Journal for Clinicians 66, 375385.Google Scholar
30.Apter, D et al. (2015) Efficacy of human papillomavirus 16 and 18 (HPV-16/18) AS04-adjuvanted vaccine against cervical infection and precancer in young women: final event-driven analysis of the randomized, double-blind PATRICIA trial. Clinical and Vaccine Immunology 22, 361373.Google Scholar
31.Petrosky, E et al. (2015) Use of 9-valent human papillomavirus (HPV) vaccine: updated HPV vaccination recommendations of the advisory committee on immunization practices. Morbidity and Mortality Weekly Report 64, 300304.Google Scholar
32.Dillner, J et al. (2011) Monitoring of human papillomavirus vaccination. Clinical and Experimental Immunology 163, 1725.Google Scholar
Figure 0

Fig. 1. The prevalences of HPV genotypes 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66 and 68 in women. (a) Overall prevalences by year. (b) Overall prevalences by age. The English in this document has been checked by at least two professional editors, both native speakers of English. For a certificate, please see:http://www.textcheck.com/certificate/6naFdb.

Figure 1

Table 1. Summary characteristics of subjects who underwent hrHPV and Pap co-testing

Figure 2

Table 2. Prevalences of hrHPVs, grouped by SIL status

Figure 3

Table 3. Prevalences of hrHPVs in patients grouped by CIN status

Figure 4

Table 4. Characteristics of hrHPV co-infection