Literature DB >> 35922661

The prevalence of human papillomavirus among women in northern Guangdong Province of China.

Wenbo Huang1, Hongyan Xu1, Hongbo Hu1, Dingmei Zhang2, Yulan Liu1, Yanle Guo1, Fengjin Xiao1, Weijuan Chen1, Zhanzhong Ma3.   

Abstract

Globally, cervical cancer, whose etiologic factor is Human papillomavirus (HPV), is the third most common cancer among women. In cervical cancer screening, HPV testing is important. However, the prevalence of HPV in northern Guangdong Province has not been conclusively determined. A total of 100,994 women attending Yuebei People's Hospital Affiliated to Shantou University Medical College between 2012 and 2020 were recruited. HPV was tested by a polymerase chain reaction (PCR)-based hybridization gene chip assay. The prevalence of HPV among these women was established to be19.04%. Peak prevalence was observed in women aged 40-49 (7.29%). Besides, the prevalence of single-type HPV infection (14.46%) was significantly high, compared to multiple-type infection (4.58%) (p < 0.01), while the prevalence of high-risk HPV infection (19.97%) was significantly higher than that of low-risk genotypes (5.48%) (p < 0.01). The most prevalent high-risk genotypes were HPV52 (4.16%), HPV16 (2.98%), HPV58 (2.15%), HPV53 (1.58%) and HPV68 (1.34%). HPV co-infection with up to 10 genotypes was reported for the first time. Our findings suggested a high burden of HPV infections among women in northern Guangdong. Establishing the prevalence and genotype distribution characteristics of HPV infections in the region can contribute to cervical cancer prevention through HPV vaccination.
© 2022. The Author(s).

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Year:  2022        PMID: 35922661      PMCID: PMC9349279          DOI: 10.1038/s41598-022-17632-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


Introduction

Globally, cervical cancer which can be caused by the major oncogenic types of HPV, is the third most common cancer in women[1,2]. Therefore, HPV vaccination can significantly reduce the risk of cervical cancer[3]. HPV is a circular double-stranded DNA virus that mainly infects epithelial cells in the skin and mucosal cells. The International Agency for Research on Cancer (IARC) reports that there are more than 200 HPV genotypes, among which, about 40 genotypes infect the genitourinary system while 20 genotypes are associated with cancer development[4]. Most HPV infections have no obvious clinical symptoms, and the spontaneously resolve[5]. Based on their risk of causing cancer, HPVs are classified as high-risk HPV (HR-HPV) or low-risk HPV (LR-HPV). HR-HPV can cause cervical cancer, with HPV 16/18 exhibiting the highest risk of cancer development. It usually takes 10–20 years for HPV infection-driven lesions to progress to malignancy[6-8]. There are regional differences in HPV prevalence and genotype distribution, which explains the different types of vaccines[9,10]. The currently licensed HPV vaccines include bivalent vaccines (HPV16/18), quadrivalent vaccines (HPV16/18/6/11), andnine-valent vaccines (HPV16/18/6/11/31/33/45/52/58)[11,12]. Therefore, to select a suitable vaccine, it is important to understand local HPV incidences and subtype distribution. This study aimed to investigate the prevalence and genotype distribution of HPV in northern Guangdong province, so as to provide a scientific basis for early screening strategies and vaccination for cervical cancer in the region.

Materials and methods

Subjects

A total of 100,994 women attending the Physical Examination Center and Department of Gynecology of Yuebei People’s Hospital between January 1st, 2012 and December 31st, 2020 were enrolled in this study. The inclusion criteria were: (1) Aged 18–75 years; (2) All participants resided in northern Guangdong Province; (3) No history of sexual life or vaginal medication in the past one week; (4) Willingness to undergo an HPV test and participate in the present study, All participants signed informed consent. This research was approved by the Ethics Committees of Yuebei People’s Hospital (KY-2019-083, Approved October 10, 2019). All methods were performed in accordance with relevant guidelines and standard operating procedures (SOPs).

Specimen collection

Gynecological practitioners collected the cervical specimens using cervical brush. First, the cervix was exposed using a vaginal dilator, secretions were wiped using a cotton swab, the cervical brush was extended into the cervix and rotated 4 to 5 times in a clockwise direction to obtain a sufficient amount of cervical epithelial cells. Then, the brush was placed in a vial containing the cell preservation solution (Yaneng Biotechnology, Ltd., Shenzhen, China). Cervical samples should be stored at room temperature for no more than 12 h and at 4 °C for no more than 7 days after collection. Specimens were sent to the department of clinical PCR laboratory in the hospital for testing.

DNA extraction

DNA from exfoliated cervical cells was extracted using a DNA extraction kit (Yaneng Biotechnology, Ltd., Shenzhen, China). Samples on the cervical brushes were eluted; the elution was transferred to a 1.5 ml centrifuge tube, centrifuged at 13,000 rpm for 10 min, and the supernatant discarded. To the cell pellet, 50 µl of the lysis buffer was added to suspend the pellet, incubated at 100 °C for 10 min, and centrifuged at 13,000 rpm for 10 min, to obtain DNA.

HPV DNA testing

HPV DNA PCR amplification and genotyping were performed using the HPV genotyping Kit (Yaneng Biotechnology, Ltd., Shenzhen, China) according to the manufacturer’s instructions. The test kit was approved by the National Medical Products Administration (NMPA, No.20193401918). The test included 23 type-specific oligonucleotides, designed to detect 17 HR-HPV genotypes (HPV 16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73 and 82) together with 6 LR-HPV genotypes (HPV6, 11, 42, 43, 81 and 83). Amplification was performed using the BIOER Genetouch PCR amplification instrument. The amplification system consisted of 5 μl HPV-DNA and 20 μl reaction system. Reaction conditions were: 50 °C for 15 min, denaturation at 95 °C for 10 min, denaturation at 94 °C for 30 s, annealing at 42 °C for 90 s, elongation at 72 °C for 30 s, 40 cycles, elongation at 72 °C for 5 min, and storage at 4 °C. HPV genotyping was performed by hybridization in a YN-H16 thermostatic hybridization instrument. The final result was determined by directly observing color reactions on the chip. The negative control showed no color reaction at all sites except the blue dot on the internal control (IC) site. The positive control must be color reaction of the positive HPV genotype and IC site (shown in blue), and the genotype is read according to the site of the blue spot on the chip.

Statistical analysis

Data analysis was performed using SPSS22.0 software (IBM, USA). Data were presented as mean ± standard deviation or frequency and percentage for numerical or discrete variables, respectively. The Chi-square test was used to determine significant differences between groups, and differences were considered statistically significant at p < 0.05.

Ethics statement

This research was approved by the Ethics Committees of Yuebei People’s Hospital.

Results

Age-specific HPV prevalence

A total of 100,994 women visited the Yuebei People's Hospital and subjected to HPV DNA testing. The basic characteristics of study participants are shown in Table 1. It was established that 19,233 (19.04%) of the women had HPV infections, with most of the infections occurring in women of the 40–49 age group (7.29%). Single-type HPV infections were common among women aged 40–49 years (6.44%), while multiple-type HPV infections were common among women aged 50–59 years (1.71%). Single-type HPV infections (14.46%) were more common than multiple-type infections (4.58%), (p < 0.01; Table 2 and Fig. 1).
Table 1

Basic characteristics of study participants (N = 100,994).

CharacteristicCase (n)Percentage (%)
Age in years, mean (SD)42.60 (10.53)
Age (years)
 ≤ 202250.22
21–2911,72311.61
30–3926,15025.89
40–4938,09837.72
50–5920,06419.87
 ≥ 6047344.69
Education level
Primary10,82110.71
Secondary36,06935.71
Higher54,10453.57
Marital status
Never married79217.84
Married89,11288.24
Divorced/widowed39613.92
Number of children
076227.55
157,16656.60
232,39432.08
 ≥ 338113.77
Alcohol consumption
Ever
Never
Tobacco
Never95,48594.55
 < 7 cigarettes a week36733.64
 ≥ 7 cigarettes a week18361.82
Age of first sexual intercourse; mean (SD)22.8 (3.1)
Table 2

Single and multiple type infections of HPV in different age groups.

Age (years)NSingle-type infectionMultiple-type infectionHPV Positive95%CIP Value
No(%)No(%)No(%)
 ≤ 20225440.04130.01570.050.04–0.07< 0.001
21–2911,7232480.254900.487380.730.70–0.76< 0.001
30–3926,15036073.5712961.2849034.854.54–5.16< 0.001
40–4938,09865046.448570.8573617.297.01–7.56< 0.001
50–5920,06432013.1717251.7149264.884.57–5.19< 0.001
 ≥ 60473410020.992470.2412491.241.03–1.44< 0.001
Total100,99414,60514.4646284.5819,23319.0418.80–19.30< 0.001
Figure 1

HPV infection rate in different age groups.

Basic characteristics of study participants (N = 100,994). Single and multiple type infections of HPV in different age groups. HPV infection rate in different age groups.

HPV genotype distribution

A total of 25,710 positive HPV genotypes were detected in samples from the 100,994 women (Since some women were infected with multiple genotypes, so the total number of positive HPV genotypes was greater than the number of infected women). Twenty-three HPV genotypes were identified (Table 3 and Fig. 2). The proportions of HR-HPV and LR-HPV infections were 19.97% and 5.48%, respectively. The top ten most prevalent HR-HPV genotypes were HPV52, 16, 58, 53, 68, 51, 18, 56, 33, and 59, with corresponding proportions of 4.16%, 2.98%, 2.15%, 1.58%, 1.34%, 1.28%, 1.10%, 1.03%, 0.89% and 0.77%, respectively (Fig. 3). The LR-HPV genotypes included HPV81, 43, 42, 6, 11 and 83, with corresponding proportions of 1.98%, 1.29%, 0.91%, 0.74%, 0.41% and 0.15%, respectively (Fig. 4). The distribution of HR-HPV in high-grade lesions cervical and invasive cervical cancer is shown in Table 4.
Table 3

Positivity of HPV genotypes from 2012 to 2020.

HPV genotype2012 (N = 5280)2013 (N = 6566)2014 (N = 8497)2015 (N = 9204)2016 (N = 11,720)2017 (N = 13,330)2018 (N = 14,356)2019 (N = 17,112)2020 (N = 14,929)Total (N = 100,994)Positive rates %P Value
HR-HPV10081220163416842635268931533306284420,17319.97 < 0.001
1631128325726337935940640434530072.98 < 0.001
18927510510413611916919112411151.10 < 0.001
313851384167528368434810.48 < 0.001
33638991581191161101411078940.89 < 0.001
352439393453567351594280.42 < 0.001
393127059741071231311196980.690.061
45610231925343747362370.23 < 0.001
519359511415618422427419912901.280.436
5212017127335562963967668665742064.16 < 0.001
53143813213823024927226625815971.58 < 0.001
565777969212311314416516910361.03 < 0.001
5815420016914827228331732629821672.150.333
59243058661021011251531197780.77 < 0.001
66383452467175117124986550.650.003
68516513113217517522822817113561.340.058
734851016192833161390.14 < 0.001
82030588211826890.090.075
LR-HPV25135639941879873282197378955375.480.689
640505961108105117114947480.74 < 0.001
112942415149464859474120.410.172
42315864671111251401671589210.910.001
431441932251031349712616012213041.290.028
8100012137533736544835319991.98 < 0.001
83713101521222525151530.15 < 0.001
Total12591576203321023433342139744279363325,71025.46 < 0.001
Figure 2

HPV infection rate from 2012 to 2020.

Figure 3

Distribution of HR-HPV subtypes infection.

Figure 4

Distribution of LR-HPV subtypes infection.

Table 4

The HR-HPV genotype distribution in HSIL and ICC patients.

HR-HPV genotypeHSILICC
Case (n)Percentage (%)Case (n)Percentage (%)
1631227.27468.5
5825021.865.6
5218816.41110.2
3311710.200
31494.310.9
18433.81211.1
51322.800
56262.310.9
39242.100
66211.800
53201.700
68201.710.9
59151.321.9
82131.100
3580.700
4560.500
7310.100
Total1145100108100

HSIL: High-grade squamous intraepithelial lesion.

ICC: Invasive cervical cancer.

Positivity of HPV genotypes from 2012 to 2020. HPV infection rate from 2012 to 2020. Distribution of HR-HPV subtypes infection. Distribution of LR-HPV subtypes infection. The HR-HPV genotype distribution in HSIL and ICC patients. HSIL: High-grade squamous intraepithelial lesion. ICC: Invasive cervical cancer.

Distribution of single and multiple HPV infections

Single, double, and multiple-type HPV infections accounted for 75.94%, 17.52% and 4.47%, respectively (Table 5). Single-type infection was more common than multiple-type infection (p < 0.01). HPV co-infection with up to 10 subtypes was discovered for the first time (Fig. 5).
Table 5

Distribution of single and multiple-type HPV infections.

Number of infection typesPositive, NoComposition ratio (%)
1 Type14,60575.94
2 Types337017.52
3 Types8604.47
4 Types2911.51
5 Types580.30
6 Types270.14
7 Types130.07
8 Types50.03
9 Types20.01
10 Types20.01
Total19,233100.00
Figure 5

(a) HPV positive coinfection with 10 subtypes; (b) HPV negative ybridization.

Distribution of single and multiple-type HPV infections. (a) HPV positive coinfection with 10 subtypes; (b) HPV negative ybridization.

Discussion

In this study, we established that the HPV infection rate among women in northern Guangdong was 19.04%, with the infection rate being highest among women aged 40–49 (7.29%). Single-type and HR-HPV infections were the most prevalent form. The most prevalent HR-HPV infections were HPV52, 16, 58, 53, 68, 51, 18, and 56 while LR-HPV infections were mainly HPV81 and 43. We also report, for the first time, HPV co-infection with up to 10 genotypes in two cases. Studies have reported differences in HPV prevalence and genotype distribution in different countries[13]. According to a comprehensive meta-analysis involving over 1 million women, the global HPV prevalence is estimated to be 11.7%. Sub-Saharan Africa (24.0%), Eastern Europe (21.4%), and Latin America (16.1%) have the highest prevalence[14]. In Japan, the prevalence of HPV is 25%, with HPV52, 16, and 58 being the most common genotypes[15]. In Korea, the prevalence of HPV is 16.71%, with HPV 53, 58, and 52 being the most common genotypes[16]. A previous meta-analysis reported that HPV infection rate among women in mainland China is 19.0%, with HPV16, 52, and58 being the most common genotypes[17]. These types are also the most common types of CIN in China[18]. This contrasts with the situation in Western countries, where HPV16 and 18 infections are prevalent[19,20]. In China, there are regional differences in HPV prevalence and genotype distribution. Population-based screening revealed that the HPV infection rate in China ranges from 9.9% to 31.94%[21-24]. Among the sampled regions, Haikou (31.94%), Beijing (21.06%), and Guangdong (20.02%) have the highest HPV incidences. Our results are consistent with HPV distribution characteristics previously reported in China[25-27]. The overall HPV infection rate is high and single-type as well as high-risk infections are more common. However, the top five genotypes are slightly different. For instance, the main genotypes in Meizhou[28], were HPV 16, 52, 58, 18, and 81, while in northern Guangdong, they were HPV 52, 16, 58, 53 and 68. In short, the top three in most regions of China were HPV 52, 16, and 58. HPV screening and vaccination are the most effective measures for preventing cervical cancer. China's cervical cancer screening program adopts a combined method for HPV and cytology (TCT) screening, which can maximize screening Sensitivity and specificity to improve the detection rate. The program is led by the government, with the participation of social groups, medical institutions, third-party testing institutions, etc. It is completely free for the subjects, voluntary, and covers women aged 35–64. In short, cervical cancer screening has a long way to go, and various efforts are being made to explore solutions with Chinese characteristics. Most developed countries have adopted vaccination as their main preventive strategy. Therefore, if these prevention strategies can be promoted in developing countries, thousands of lives can be saved. Currently, the three available HPV vaccines are all prepared according to the existing epidemiological characteristics of HPV in Western countries. At the same time, there is controversy with regards the vaccination age. The American Cancer Society (ACS) recommends that HPV vaccination be performed at 9 to 12 years old to reduce cervical cancer incidences. However, ACS does not endorse the 2019 Advisory Committee on Immunization Practices recommendation for shared clinical decision for adults aged 27 to 45 years potential of vaccination[29]. China approved the importation of bivalent vaccines in 2016. Nationally, the HPV vaccination rate for women is only 11.0%[30], and the vaccination situation is not optimistic. HPV vaccination is expensive, and uncertainties regarding the side effects of the vaccine are the main reason for reluctance. In this study, we found that the HPV infection rate remained stable without any downward trend from 2012 to 2020. Therefore, China needs to develop HPV vaccines that are suitable for the Chinese population, while putting into consideration the characteristics of vaccine genotypes and the age of vaccination, further localization, reducing costs, and including government free vaccination programs to reduce the incidences of HPV infections and cervical cancer.

Conclusions

For the first time, we report on prevalence and subtype distribution of women HPV in northern Guangdong, which is of great significance for guiding the formulation of local vaccination and other prevention strategies. However, epidemiological investigation of HPV requires multi-center and long-term monitoring, especially evaluation of the effects after vaccination. Besides, persistent HR-HPV and multiple-type infections as well as cancer outcomes should be investigated further.
  30 in total

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Authors:  Svetlana I Rogovskaya; Irina P Shabalova; Irina V Mikheeva; Galina N Minkina; Nataly M Podzolkova; Olga Y Shipulina; Said N Sultanov; Iren A Kosenko; Maria Brotons; Nina Buttmann; Myassa Dartell; Marc Arbyn; Stina Syrjänen; Mario Poljak
Journal:  Vaccine       Date:  2013-12-31       Impact factor: 3.641

Review 3.  Worldwide prevalence and genotype distribution of cervical human papillomavirus DNA in women with normal cytology: a meta-analysis.

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Journal:  Lancet Infect Dis       Date:  2007-07       Impact factor: 25.071

4.  Human papillomavirus vaccines: WHO position paper, May 2017-Recommendations.

Authors: 
Journal:  Vaccine       Date:  2017-06-05       Impact factor: 3.641

5.  Nationwide prevalence of human papillomavirus infection and viral genotype distribution in 37 cities in China.

Authors:  Rong Wang; Xiao-Lei Guo; G Bea A Wisman; Ed Schuuring; Wen-Feng Wang; Zheng-Yu Zeng; Hong Zhu; Shang-Wei Wu
Journal:  BMC Infect Dis       Date:  2015-07-04       Impact factor: 3.090

Review 6.  Human papillomavirus molecular biology and disease association.

Authors:  John Doorbar; Nagayasu Egawa; Heather Griffin; Christian Kranjec; Isao Murakami
Journal:  Rev Med Virol       Date:  2015-03       Impact factor: 6.989

7.  Prevalence and Genotype Distribution of HPV Infection in China: Analysis of 51,345 HPV Genotyping Results from China's Largest CAP Certified Laboratory.

Authors:  Zhengyu Zeng; Huaitao Yang; Zaibo Li; Xuekui He; Christopher C Griffith; Xiamen Chen; Xiaolei Guo; Baowen Zheng; Shangwei Wu; Chengquan Zhao
Journal:  J Cancer       Date:  2016-05-25       Impact factor: 4.207

8.  Prevalence of human papillomavirus genotypes and precancerous cervical lesions in a screening population in the Republic of Korea, 2014-2016.

Authors:  Yung Taek Ouh; Kyung Jin Min; Hyun Woong Cho; Moran Ki; Jin Kyoung Oh; Sang Yop Shin; Jin Hwa Hong; Jae Kwan Lee
Journal:  J Gynecol Oncol       Date:  2018-01       Impact factor: 4.401

9.  Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis.

Authors:  Marc Arbyn; Elisabete Weiderpass; Laia Bruni; Silvia de Sanjosé; Mona Saraiya; Jacques Ferlay; Freddie Bray
Journal:  Lancet Glob Health       Date:  2019-12-04       Impact factor: 26.763

10.  HPV Vaccination and the Risk of Invasive Cervical Cancer.

Authors:  Jiayao Lei; Alexander Ploner; K Miriam Elfström; Jiangrong Wang; Adam Roth; Fang Fang; Karin Sundström; Joakim Dillner; Pär Sparén
Journal:  N Engl J Med       Date:  2020-10-01       Impact factor: 91.245

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